Decision-grade intelligence systems.
Decision-grade
intelligence systems
Decision-grade intelligence systems.
Capitol AI brings sovereign data infrastructure, workflow orchestration, model independence, built-in tools, evaluations, governance, and secure deployment into one system, so complex work holds together and stays repeatable, defensible, and auditable.
Capitol AI brings sovereign data infrastructure, workflow orchestration, model independence, built-in tools, evaluations, governance, and secure deployment into one system, so complex work holds together and stays repeatable, defensible, and auditable.
Capitol AI brings sovereign data infrastructure, workflow orchestration, model independence, built-in tools, evaluations, governance, and secure deployment into one system, so complex work holds together and stays repeatable, defensible, and auditable.
From fragmented inputs to auditable outputs.
Capitol is built for teams that need AI to do more than answer questions. It has to retrieve the right data, follow the right process, use the right models and tools, and produce work the organization can review, reuse, and defend.
Capitol gives teams a structured way to run complex AI work. It retrieves the relevant data, follows the required process, and uses the best-suited models and tools at each step. The result holds together and can be reviewed, reused, and defended.
Workflow orchestration
Build workflows that combine customer IP, business context, standard operating procedures, model calls, tools, approvals, and human review.
Intelligence core
Organize proprietary data, domain expertise, and operational logic into a structured, governed layer that guides how work gets done.
Governed artifact engine
Turn complex inputs into reports, models, filings, decks, apps, and other outputs with sources, steps, and review built in.
Governed artifact engine
Turn complex inputs into reports, models, filings, decks, apps, and other outputs with sources, steps, and review built in.
The architecture behind controlled AI work.
Capitol gives teams the infrastructure to connect and prepare data, build workflows, route models, run tools, evaluate results, and ship auditable work.
Capitol brings the full system together, from connected, prepared data and orchestrated workflows to model routing, tool execution, evaluation, and auditable delivery.
Data connection
Connect repositories, data lakes, systems of record, documents, spreadsheets, public sources, and live data.
Data transformation
Normalize messy, fragmented inputs so workflows can use them reliably.
Workflow orchestration
Define each step of the process, from source retrieval and tool use to model calls, approvals, and human review.
Model flexibility
Use OpenAI, Anthropic, open-source models, or the best-fit model for each task.
Built-in tools
Use deep web search, transcription, spreadsheets, decks, web apps, publishing, and analysis tools without stitching together new integrations.
Evaluation and audit
Measure accuracy and relevance, track sources, and preserve a full workflow record.
Use the right model for each step.
Capitol keeps workflows independent from any single model provider. Use frontier or open-source models, route work by task, cost, speed, and quality, and switch as better options emerge without rebuilding the workflow.
Frontier models
Use leading models for reasoning, synthesis, generation, and analysis.
Open-weights models
Run open models when cost, control, privacy, or deployment requirements matter.
Step-level routing
Send each part of the workflow to the best-fit model based on capability, cost, latency, and required quality.
Model independence
Change providers or models without rebuilding the process around one stack.
The operating layers behind every workflow.
The model is only one layer. Capitol connects trusted data, encodes process, runs tools, governs quality and access, deploys in secure environments, and stays compatible with the enterprise stack around it.
The model is only one layer. Capitol connects trusted data, encodes process, and runs tools. It governs quality and access, deploys securely, and remains compatible with the enterprise stack around it.
Bring structured, unstructured, internal, external, and live data into one controlled foundation for agents and workflows.
Connect every source
Bring in structured and unstructured data from systems of record, repositories, data lakes, data rooms, documents, databases, spreadsheets, archives, public sources, and live web data.
Control access
Set permissions by role, team, workflow, source, or agent so only approved people and workflows can use sensitive context.
Prepare for AI
Normalize formats, reconcile fragmented inputs, and turn messy data into reliable workflow context.
Track lineage
See which sources were used, where they came from, and how they shaped the final output.
/**
* CAPITOL_DEEP_LLM_OPERATIONS_TRACE
*
* Decorative, technically grounded pseudocode for a website background.
*
* This is not a literal copy of any proprietary model implementation. Real large-language
* models primarily contain learned tensor weights and execute low-level numerical kernels.
* This string combines realistic transformer-inference concepts with the orchestration,
* retrieval, evidence, validation, and audit systems used around advanced models.
*/
export const CAPITOL_DEEP_LLM_OPERATIONS_TRACE = String.raw`
/* ============================================================================================ */
/* RUNTIME IDENTITY / GLOBAL OPERATING CONTRACT
/* ============================================================================================ */
namespace Capitol.DeepRuntime {
const BUILD_ID = "capitol.deep-runtime.2026.07";
const EXECUTION_PROFILE = "multi-workflow-evidence-bound";
const MODEL_ARCHITECTURE = "decoder-transformer-mixture-of-experts";
const INFERENCE_PRECISION = "bf16-mixed";
const KV_CACHE_PRECISION = "fp8-adaptive";
const CONTEXT_WINDOW_TOKENS = 262144;
const MAX_GENERATION_TOKENS = 32768;
const TRANSFORMER_LAYERS = 96;
const ATTENTION_HEADS = 128;
const KEY_VALUE_HEADS = 16;
const HIDDEN_DIMENSION = 16384;
const INTERMEDIATE_DIMENSION = 53248;
const EXPERT_COUNT = 128;
const ACTIVE_EXPERTS_PER_TOKEN = 8;
const ROPE_BASE = 1000000;
const RETRIEVAL_PARALLELISM = 64;
const TOOL_PARALLELISM = 24;
const MAX_WORKFLOW_BRANCHES = 48;
const CLAIM_CONFIDENCE_THRESHOLD = 0.84;
const ENTITY_LINK_THRESHOLD = 0.89;
const CONTRADICTION_THRESHOLD = 0.73;
const MINIMUM_SOURCE_DIVERSITY = 3;
const HUMAN_REVIEW_MODE = "risk-adaptive";
const SOURCE_LINEAGE_REQUIRED = true;
const AUDIT_EVENT_RETENTION = "append-only";
const HALLUCINATION_POLICY = "abstain-or-qualify";
const NUMERIC_POLICY = "calculate-never-guess";
const LEGAL_POLICY = "primary-authority-preferred";
const TEMPORAL_POLICY = "event-time-and-effective-time";
const OUTPUT_POLICY = "traceable-audit-ready";
enum WorkflowKind {
COMMERCIAL_DUE_DILIGENCE,
REGULATORY_INTELLIGENCE,
PUBLIC_SECTOR_ANALYSIS,
DATA_AND_EDITORIAL_RESEARCH
}
enum ExecutionStage {
RECEIVE,
INTERPRET,
DECOMPOSE,
PLAN,
ACQUIRE,
NORMALIZE,
INDEX,
RETRIEVE,
RESOLVE,
EXTRACT,
ANALYZE,
CALCULATE,
VERIFY,
SYNTHESIZE,
REVIEW,
RENDER,
AUDIT
}
enum EvidenceState {
UNVERIFIED,
PRIMARY,
SECONDARY,
CORROBORATED,
CONTRADICTED,
SUPERSEDED,
RETRACTED,
OUT_OF_SCOPE
}
enum ClaimModality {
OBSERVED,
REPORTED,
INFERRED,
PROJECTED,
REQUIRED,
PROHIBITED,
PERMITTED,
CONTINGENT,
DISPUTED
}
type Tensor = {
shape: int[],
dtype: string,
device: string,
layout: string,
data_ptr: uintptr
};
type Token = {
id: int,
text: string,
byte_start: int,
byte_end: int,
position: int,
segment_id: string | null,
source_id: string | null
};
type ModelState = {
input_ids: Tensor,
position_ids: Tensor,
attention_mask: Tensor,
kv_cache: KVCache,
router_state: RouterState,
hidden_state: Tensor,
residual_stream: Tensor,
logits: Tensor | null
};
type SourceIdentity = {
source_id: string,
source_type: string,
canonical_uri: string,
publisher: string | null,
jurisdiction: string | null,
language: string,
published_at: DateTime | null,
effective_at: DateTime | null,
retrieved_at: DateTime,
content_hash: string,
authority_score: float,
freshness_score: float,
completeness_score: float
};
type EvidenceSpan = {
source_id: string,
document_id: string,
page: int | null,
section_path: string[],
start_offset: int,
end_offset: int,
exact_text_hash: string,
semantic_role: string,
table_coordinates: int[4] | null,
bounding_box: float[4] | null
};
type Entity = {
entity_id: string,
canonical_name: string,
entity_type: string,
aliases: string[],
identifiers: map<string, string>,
jurisdictions: string[],
parent_entity_id: string | null,
confidence: float,
evidence: EvidenceSpan[]
};
type Claim = {
claim_id: string,
claim_type: string,
modality: ClaimModality,
subject_entity_id: string | null,
predicate: string,
object_value: any,
qualifiers: map<string, any>,
event_time: DateTimeRange | null,
asserted_time: DateTime | null,
effective_time: DateTimeRange | null,
confidence: float,
evidence_state: EvidenceState,
evidence: EvidenceSpan[],
contradicts: string[],
depends_on: string[]
};
type Metric = {
metric_id: string,
canonical_name: string,
reported_name: string,
value: decimal,
unit: string,
scale: decimal,
currency: string | null,
period_start: DateTime | null,
period_end: DateTime | null,
dimensions: map<string, string>,
methodology: string | null,
formula: string | null,
confidence: float,
evidence: EvidenceSpan[]
};
type WorkflowRequest = {
workflow_id: string,
objective: string,
questions: string[],
workflow_kinds: WorkflowKind[],
source_constraints: SourceConstraint[],
jurisdiction_scope: string[],
temporal_scope: DateTimeRange | null,
output_schema: JSONSchema,
risk_tolerance: string,
human_review_points: string[]
};
type WorkflowState = {
workflow_id: string,
stage: ExecutionStage,
active_branches: BranchState[],
source_count: int,
segment_count: int,
entity_count: int,
claim_count: int,
metric_count: int,
unresolved_conflicts: Conflict[],
unanswered_questions: QuestionGap[],
evidence_graph: DirectedGraph,
audit_log: AuditEvent[]
};
/* ============================================================================================ */
/* TOKENIZATION / INPUT CANONICALIZATION
/* ============================================================================================ */
function canonicalizeInput(raw: bytes): CanonicalInput {
let decoded = decodeUtf8Strict(raw);
let normalized = unicodeNormalize(decoded, "NFKC");
let protectedText = preserveMeaningfulWhitespace(normalized);
let detectedLanguage = detectLanguage(protectedText);
let documentBoundaries = locateDocumentBoundaries(protectedText);
let controlSegments = identifyControlSegments(protectedText);
let userSegments = identifyUserSegments(protectedText);
let sourceSegments = identifySourceSegments(protectedText);
return {
text: protectedText,
language: detectedLanguage,
document_boundaries: documentBoundaries,
control_segments: controlSegments,
user_segments: userSegments,
source_segments: sourceSegments,
input_hash: sha256(raw),
received_at: now()
};
}
function tokenize(input: CanonicalInput): TokenSequence {
let bytePieces = bytePairEncode(input.text);
let tokens = [];
let position = 0;
for (piece in bytePieces) {
tokens.push({
id: vocabulary.lookup(piece.bytes),
text: piece.text,
byte_start: piece.byte_start,
byte_end: piece.byte_end,
position,
segment_id: locateSegment(piece, input),
source_id: locateSource(piece, input)
});
position += 1;
}
assert(tokens.length <= CONTEXT_WINDOW_TOKENS);
return {
tokens,
input_ids: tensor(tokens.map(token => token.id), "int32"),
position_ids: arange(tokens.length, "int32"),
segment_map: buildSegmentMap(tokens),
source_map: buildSourceMap(tokens),
token_hash: stableHash(tokens.map(token => token.id))
};
}
function buildAttentionMask(sequence: TokenSequence): Tensor {
let mask = causalMask(sequence.tokens.length);
let segmentPermissions = compileSegmentPermissions(sequence.segment_map);
let sourcePermissions = compileSourcePermissions(sequence.source_map);
let policyMask = intersectMasks(
mask,
segmentPermissions,
sourcePermissions
);
return packMask(policyMask, {
block_size: 128,
sparse_layout: "block-causal",
dtype: "bool"
});
}
/* ============================================================================================ */
/* EMBEDDING / POSITIONAL ENCODING / TRANSFORMER FORWARD PASS
/* ============================================================================================ */
function initializeModelState(sequence: TokenSequence): ModelState {
let embeddings = embeddingLookup(
MODEL_PARAMETERS.token_embedding,
sequence.input_ids
);
let scaled = embeddings * sqrt(HIDDEN_DIMENSION);
let positions = buildRotaryPositions(
sequence.position_ids,
ROPE_BASE
);
return {
input_ids: sequence.input_ids,
position_ids: sequence.position_ids,
attention_mask: buildAttentionMask(sequence),
kv_cache: KVCache.allocate({
layers: TRANSFORMER_LAYERS,
key_value_heads: KEY_VALUE_HEADS,
head_dimension: HIDDEN_DIMENSION / ATTENTION_HEADS,
max_tokens: CONTEXT_WINDOW_TOKENS,
precision: KV_CACHE_PRECISION
}),
router_state: RouterState.initialize(EXPERT_COUNT),
hidden_state: scaled,
residual_stream: scaled,
logits: null,
rotary_positions: positions
};
}
function rmsNorm(x: Tensor, weight: Tensor, epsilon: float): Tensor {
let variance = mean(square(x), axis=-1, keepdim=true);
let normalized = x * reciprocalSqrt(variance + epsilon);
return normalized * weight;
}
function applyRotaryEmbedding(
q: Tensor,
k: Tensor,
positions: Tensor,
base: int
): tuple<Tensor, Tensor> {
let frequencies = inverseFrequencies(
dimension=q.shape[-1],
base=base
);
let angles = outerProduct(positions, frequencies);
let cosine = cos(angles);
let sine = sin(angles);
return (
rotateHalf(q) * sine + q * cosine,
rotateHalf(k) * sine + k * cosine
);
}
function groupedQueryAttention(
hidden: Tensor,
layer: int,
state: ModelState
): Tensor {
let q = linear(hidden, MODEL_PARAMETERS.layers[layer].q_projection);
let k = linear(hidden, MODEL_PARAMETERS.layers[layer].k_projection);
let v = linear(hidden, MODEL_PARAMETERS.layers[layer].v_projection);
q = reshapeHeads(q, ATTENTION_HEADS);
k = reshapeHeads(k, KEY_VALUE_HEADS);
v = reshapeHeads(v, KEY_VALUE_HEADS);
(q, k) = applyRotaryEmbedding(
q,
k,
state.rotary_positions,
ROPE_BASE
);
state.kv_cache.append(layer, k, v);
let expandedK = repeatKeyValueHeads(k, ATTENTION_HEADS / KEY_VALUE_HEADS);
let expandedV = repeatKeyValueHeads(v, ATTENTION_HEADS / KEY_VALUE_HEADS);
let attention = flashAttention({
query: q,
key: expandedK,
value: expandedV,
mask: state.attention_mask,
causal: true,
softmax_scale: reciprocalSqrt(q.shape[-1]),
dropout: 0.0,
accumulation_dtype: "fp32"
});
let merged = mergeHeads(attention);
return linear(
merged,
MODEL_PARAMETERS.layers[layer].output_projection
);
}
function routeMixtureOfExperts(
hidden: Tensor,
layer: int,
routerState: RouterState
): Tensor {
let routerLogits = linear(
hidden,
MODEL_PARAMETERS.layers[layer].router_projection
);
let routerProbabilities = softmax(
routerLogits,
axis=-1,
dtype="fp32"
);
let selected = topK(
routerProbabilities,
ACTIVE_EXPERTS_PER_TOKEN
);
let normalizedWeights = renormalize(selected.values);
let dispatchPlan = buildExpertDispatchPlan(
selected.indices,
normalizedWeights,
capacityFactor=1.25
);
let expertOutputs = parallelMap(
dispatchPlan.active_experts,
expertId => {
let expertInput = dispatch(
hidden,
dispatchPlan,
expertId
);
let gated = silu(
linear(
expertInput,
MODEL_PARAMETERS.layers[layer]
.experts[expertId]
.gate_projection
)
);
let expanded = linear(
expertInput,
MODEL_PARAMETERS.layers[layer]
.experts[expertId]
.up_projection
);
let activated = gated * expanded;
return linear(
activated,
MODEL_PARAMETERS.layers[layer]
.experts[expertId]
.down_projection
);
}
);
routerState.record({
layer,
token_count: hidden.shape[-2],
active_experts: dispatchPlan.active_experts,
load_balance_loss: computeLoadBalanceLoss(routerProbabilities),
router_z_loss: computeRouterZLoss(routerLogits)
});
return combineExpertOutputs(
expertOutputs,
dispatchPlan,
normalizedWeights
);
}
function transformerLayer(
state: ModelState,
layer: int
): ModelState {
let residualA = state.residual_stream;
let normalizedA = rmsNorm(
state.hidden_state,
MODEL_PARAMETERS.layers[layer].attention_norm,
1e-6
);
let attentionOutput = groupedQueryAttention(
normalizedA,
layer,
state
);
let postAttention = residualA + attentionOutput;
let normalizedB = rmsNorm(
postAttention,
MODEL_PARAMETERS.layers[layer].ffn_norm,
1e-6
);
let expertOutput = routeMixtureOfExperts(
normalizedB,
layer,
state.router_state
);
let postExpert = postAttention + expertOutput;
state.hidden_state = postExpert;
state.residual_stream = postExpert;
return state;
}
function forward(sequence: TokenSequence): Tensor {
let state = initializeModelState(sequence);
for (
let layer = 0;
layer < TRANSFORMER_LAYERS;
layer += 1
) {
state = transformerLayer(state, layer);
numericalGuards.assertFinite(state.hidden_state);
activationMonitor.observe(layer, state.hidden_state);
}
let normalized = rmsNorm(
state.hidden_state,
MODEL_PARAMETERS.final_norm,
1e-6
);
state.logits = linear(
normalized,
transpose(MODEL_PARAMETERS.token_embedding)
);
return state.logits;
}
/* ============================================================================================ */
/* DECODING / SAMPLING / SPECULATIVE EXECUTION
/* ============================================================================================ */
function selectNextToken(
logits: Tensor,
policy: SamplingPolicy
): int {
let finalLogits = logits[-1];
if (policy.temperature <= 0.0) {
return argmax(finalLogits);
}
finalLogits = finalLogits / policy.temperature;
finalLogits = applyRepetitionPenalty(
finalLogits,
policy.generated_tokens,
policy.repetition_penalty
);
finalLogits = topKFilter(
finalLogits,
policy.top_k
);
finalLogits = nucleusFilter(
finalLogits,
policy.top_p
);
finalLogits = minProbabilityFilter(
finalLogits,
policy.min_p
);
let probabilities = softmax(
finalLogits,
axis=-1,
dtype="fp32"
);
return multinomial(
probabilities,
seed=policy.seed
);
}
function speculativeDecode(
prompt: TokenSequence,
targetModel: Model,
draftModel: Model,
policy: SamplingPolicy
): TokenSequence {
let accepted = [];
let targetState = targetModel.prefill(prompt);
let draftState = draftModel.prefill(prompt);
while (!stopCondition(accepted, policy)) {
let proposed = draftModel.generateDraft(
draftState,
max_tokens=8
);
let targetScores = targetModel.scoreDraft(
targetState,
proposed
);
let verification = verifySpeculativeTokens(
proposed,
targetScores,
policy
);
accepted.push(...verification.accepted_tokens);
if (verification.rejected_at != null) {
accepted.push(
sampleFromResidualDistribution(
verification.target_distribution,
verification.draft_distribution
)
);
}
targetState.advance(accepted);
draftState.rebuildFrom(targetState);
}
return appendTokens(prompt, accepted);
}
function constrainedDecode(
prompt: TokenSequence,
grammar: OutputGrammar,
policy: SamplingPolicy
): TokenSequence {
let state = prefill(prompt);
let generated = [];
while (!grammar.isComplete(generated)) {
let logits = decodeStep(state);
let allowedTokens = grammar.allowedNextTokens(generated);
let constrainedLogits = maskDisallowedTokens(
logits,
allowedTokens
);
let nextToken = selectNextToken(
constrainedLogits,
policy
);
generated.push(nextToken);
state.append(nextToken);
if (generated.length >= MAX_GENERATION_TOKENS) {
throw new GenerationLimitReached();
}
}
return generated;
}
/* ============================================================================================ */
/* AGENTIC CONTROL PLANE / MULTI-WORKFLOW ORCHESTRATION
/* ============================================================================================ */
function executeComplexOperations(
request: WorkflowRequest
): WorkflowResult {
let execution = initializeExecutionContext(request);
let interpreted = interpretObjective(execution);
let decomposed = decomposeObjectives(interpreted);
let plan = constructAdaptivePlan(decomposed);
let graph = compileExecutionGraph(plan);
let sources = acquireSourceCorpus(graph, request);
let normalized = normalizeCorpus(sources);
let segments = segmentCorpus(normalized);
let indexes = buildHybridIndexes(segments);
let retrieved = retrieveEvidenceForAllBranches(
graph,
indexes
);
let entities = resolveEntitiesAcrossBranches(
retrieved,
indexes
);
let claims = extractClaimsAcrossBranches(
retrieved,
entities
);
let metrics = extractMetricsAcrossBranches(
retrieved,
entities
);
let timeline = constructUnifiedTimeline(
claims,
metrics
);
let conflicts = detectCrossSourceConflicts(
claims,
metrics,
timeline
);
let evidenceGraph = buildUnifiedEvidenceGraph({
sources,
segments,
entities,
claims,
metrics,
timeline,
conflicts
});
let workflowOutputs = executeWorkflowBranchesConcurrently({
request,
graph,
indexes,
entities,
claims,
metrics,
timeline,
conflicts,
evidenceGraph
});
let reconciled = reconcileWorkflowOutputs(
workflowOutputs,
evidenceGraph
);
let verified = runGlobalVerificationSuite(
reconciled,
evidenceGraph,
request
);
let reviewed = applyRiskAdaptiveHumanReview(
verified,
request
);
let rendered = renderAuditReadyOutput(
reviewed,
request.output_schema
);
persistImmutableAuditPackage({
request,
graph,
sources,
entities,
claims,
metrics,
conflicts,
evidenceGraph,
reviewed,
rendered
});
return rendered;
}
function initializeExecutionContext(
request: WorkflowRequest
): ExecutionContext {
assert(request.objective.length > 0);
assert(request.questions.length > 0);
assert(request.workflow_kinds.length > 0);
return {
workflow_id: request.workflow_id,
trace_id: generateTraceId(),
started_at: now(),
objective: request.objective,
objective_embedding: embed(request.objective),
questions: request.questions,
question_embeddings: embedBatch(request.questions),
workflow_kinds: request.workflow_kinds,
jurisdiction_scope: canonicalizeJurisdictions(
request.jurisdiction_scope
),
temporal_scope: normalizeDateRange(
request.temporal_scope
),
source_constraints: compileSourceConstraints(
request.source_constraints
),
permissions: resolveExecutionPermissions(
request.workflow_id
),
risk_tolerance: request.risk_tolerance,
review_gates: compileReviewGates(
request.human_review_points
),
memory: createEphemeralWorkingMemory(),
audit_log: new AppendOnlyAuditLog()
};
}
function interpretObjective(
context: ExecutionContext
): InterpretedObjective {
let intent = classifyOperationalIntent(
context.objective,
context.questions
);
let decisionType = classifyDecisionType(
context.objective
);
let deliverableType = inferDeliverableType(
context.objective
);
let implicitConstraints = inferImplicitConstraints({
objective: context.objective,
questions: context.questions,
workflows: context.workflow_kinds
});
let ambiguity = detectRequestAmbiguity({
objective: context.objective,
questions: context.questions,
jurisdiction_scope: context.jurisdiction_scope,
temporal_scope: context.temporal_scope
});
return {
...context,
intent,
decision_type: decisionType,
deliverable_type: deliverableType,
implicit_constraints: implicitConstraints,
ambiguity,
confidence: calibrateInterpretationConfidence(
intent,
decisionType,
deliverableType
)
};
}
function decomposeObjectives(
interpreted: InterpretedObjective
): ObjectiveGraph {
let dimensions = [
"entities",
"relationships",
"events",
"metrics",
"jurisdictions",
"authorities",
"obligations",
"permissions",
"prohibitions",
"exemptions",
"markets",
"customers",
"products",
"competitors",
"programs",
"contracts",
"awards",
"beneficiaries",
"datasets",
"methods",
"risks",
"dependencies",
"uncertainties",
"contradictions",
"effective_dates",
"source_authority"
];
let questionNodes = [];
for (question in interpreted.questions) {
let decomposition = decomposeQuestion(
question,
dimensions
);
for (subQuestion in decomposition) {
questionNodes.push({
node_id: generateNodeId(subQuestion),
question: subQuestion.text,
dimension: subQuestion.dimension,
prerequisites: subQuestion.prerequisites,
source_preferences: subQuestion.source_preferences,
answer_schema: subQuestion.answer_schema,
criticality: scoreQuestionCriticality(
subQuestion,
interpreted.decision_type
)
});
}
}
return buildDirectedAcyclicGraph(
questionNodes,
inferQuestionDependencies(questionNodes)
);
}
function constructAdaptivePlan(
objectiveGraph: ObjectiveGraph
): WorkflowPlan {
let retrievalTasks = [];
let extractionTasks = [];
let analysisTasks = [];
let verificationTasks = [];
for (node in objectiveGraph.topologicalOrder()) {
retrievalTasks.push(
createRetrievalTasksForQuestion(node)
);
extractionTasks.push(
createExtractionTasksForQuestion(node)
);
analysisTasks.push(
createAnalysisTasksForQuestion(node)
);
verificationTasks.push(
createVerificationTasksForQuestion(node)
);
}
return {
objective_graph: objectiveGraph,
retrieval_tasks: flatten(retrievalTasks),
extraction_tasks: flatten(extractionTasks),
analysis_tasks: flatten(analysisTasks),
verification_tasks: flatten(verificationTasks),
scheduling_policy: {
strategy: "critical-path-first",
allow_parallel_branches: true,
max_branches: MAX_WORKFLOW_BRANCHES,
retry_policy: "evidence-aware",
stop_when_sufficient: true
},
evidence_policy: {
primary_sources_preferred: true,
source_diversity_minimum: MINIMUM_SOURCE_DIVERSITY,
claim_confidence_minimum: CLAIM_CONFIDENCE_THRESHOLD,
citation_required_for_material_claims: true
}
};
}
function compileExecutionGraph(
plan: WorkflowPlan
): ExecutionGraph {
let graph = new ExecutionGraph();
for (task in plan.retrieval_tasks) {
graph.addTask(task, stage=ExecutionStage.ACQUIRE);
}
for (task in plan.extraction_tasks) {
graph.addTask(task, stage=ExecutionStage.EXTRACT);
}
for (task in plan.analysis_tasks) {
graph.addTask(task, stage=ExecutionStage.ANALYZE);
}
for (task in plan.verification_tasks) {
graph.addTask(task, stage=ExecutionStage.VERIFY);
}
graph.addDependencies(
inferTaskDependencies(plan)
);
graph.validateAcyclic();
graph.computeCriticalPath();
graph.assignResourceBudgets();
graph.attachReviewGates();
return graph;
}
/* ============================================================================================ */
/* SOURCE ACQUISITION / DOCUMENT UNDERSTANDING / NORMALIZATION
/* ============================================================================================ */
function acquireSourceCorpus(
graph: ExecutionGraph,
request: WorkflowRequest
): SourceDocument[] {
let candidates = parallelMap(
graph.tasksByStage(ExecutionStage.ACQUIRE),
RETRIEVAL_PARALLELISM,
task => executeSourceAcquisition(task, request)
);
let flattened = flatten(candidates);
let identified = flattened.map(
source => attachSourceIdentity(source)
);
let policyCompliant = applySourcePolicy(
identified,
request.source_constraints
);
let deduplicated = deduplicateSources(
policyCompliant,
keys=[
"content_hash",
"canonical_uri",
"document_identifier"
]
);
let scored = deduplicated.map(source => ({
...source,
authority_score: scoreSourceAuthority(source),
freshness_score: scoreSourceFreshness(source),
completeness_score: scoreSourceCompleteness(source),
relevance_prior: scoreSourceRelevancePrior(
source,
request.objective
)
}));
return enforceSourcePortfolioDiversity(scored, {
minimum_publishers: MINIMUM_SOURCE_DIVERSITY,
minimum_source_types: 2,
minimum_primary_sources: 1,
jurisdiction_coverage: request.jurisdiction_scope
});
}
function normalizeCorpus(
sources: SourceDocument[]
): NormalizedDocument[] {
return parallelMap(sources, 32, source => {
let mimeType = detectMimeType(source.bytes);
let decoded = decodeDocument(
source.bytes,
mimeType
);
let pages = reconstructPages(decoded);
let layout = analyzeDocumentLayout(pages);
let readingOrder = inferReadingOrder(layout);
let tables = extractStructuredTables(layout);
let figures = locateFiguresAndCaptions(layout);
let footnotes = resolveFootnoteReferences(layout);
let sectionTree = inferSectionHierarchy(layout);
let language = detectLanguage(decoded.text);
let dates = extractDocumentDates(decoded.text);
let signatures = detectSignatures(layout);
let stamps = detectOfficialStamps(layout);
return {
document_id: generateDocumentId(source),
source_identity: source.identity,
text: normalizeUnicode(decoded.text),
pages,
layout,
reading_order: readingOrder,
tables: normalizeTables(tables),
figures,
footnotes,
section_tree: sectionTree,
language,
dates,
signatures,
stamps,
normalization_log: [
"mime_type_detected",
"document_decoded",
"layout_reconstructed",
"reading_order_inferred",
"unicode_normalized",
"hyphenation_repaired",
"headers_and_footers_classified",
"tables_structured",
"figures_linked_to_captions",
"footnotes_resolved",
"section_tree_inferred",
"page_coordinates_preserved"
],
normalized_hash: stableHash({
text: decoded.text,
tables,
sectionTree
})
};
});
}
function segmentCorpus(
documents: NormalizedDocument[]
): TextSegment[] {
let segments = [];
for (document in documents) {
let structuralUnits = splitByDocumentStructure(
document,
document.section_tree
);
for (unit in structuralUnits) {
let semanticChunks = semanticChunk(unit, {
target_tokens: 700,
overlap_tokens: 112,
preserve_sentences: true,
preserve_paragraphs: true,
preserve_tables: true,
preserve_list_structure: true,
preserve_definitions: true,
preserve_citations: true,
preserve_legal_provisions: true
});
for (chunk in semanticChunks) {
segments.push({
segment_id: generateSegmentId(
document.document_id,
chunk.start_offset,
chunk.end_offset
),
document_id: document.document_id,
source_id:
document.source_identity.source_id,
text: chunk.text,
token_count: countTokens(chunk.text),
embedding: embed(chunk.text),
sparse_terms:
extractSparseTerms(chunk.text),
section_path: chunk.section_path,
page_range: chunk.page_range,
semantic_roles:
classifySemanticRoles(chunk.text),
date_mentions:
extractDateMentions(chunk.text),
entity_mentions:
detectEntityMentions(chunk.text),
metric_mentions:
detectMetricMentions(chunk.text),
legal_citations:
detectLegalCitations(chunk.text),
source_citations:
detectSourceCitations(chunk.text),
checksum: sha256(chunk.text)
});
}
}
}
return segments;
}
/* ============================================================================================ */
/* HYBRID INDEXING / QUERY EXPANSION / RETRIEVAL / RERANKING
/* ============================================================================================ */
function buildHybridIndexes(
segments: TextSegment[]
): RetrievalIndexes {
return {
dense: buildVectorIndex(
segments.map(segment => [
segment.segment_id,
segment.embedding
]),
metric="cosine",
quantization="scalar-int8"
),
sparse: buildBM25Index(
segments.map(segment => [
segment.segment_id,
segment.sparse_terms
])
),
temporal: buildTemporalIntervalIndex(
segments
),
entity: buildEntityMentionIndex(
segments
),
metric: buildMetricMentionIndex(
segments
),
legal: buildLegalCitationIndex(
segments
),
section: buildSectionPathIndex(
segments
),
metadata: buildMetadataIndex(
segments
),
graph: buildReferenceGraph(
segments
),
segment_store: mapById(
segments
)
};
}
function expandEvidenceQuery(
query: EvidenceQuery
): ExpandedQuery {
let aliases = generateEntityAliases(
query.entities
);
let acronyms = expandAcronyms(
query.text
);
let legalTerms = expandLegalTerms(
query.text,
query.jurisdictions
);
let financialTerms = expandFinancialTerms(
query.text
);
let temporalVariants = generateTemporalVariants(
query.date_range
);
let metricVariants = generateMetricVariants(
query.metrics
);
let paraphrases = generateSearchParaphrases(
query.text,
max_count=8
);
return {
original: query,
text: joinDistinct([
query.text,
...aliases,
...acronyms,
...legalTerms,
...financialTerms,
...temporalVariants,
...metricVariants,
...paraphrases
]),
terms: uniqueTokens([
query.text,
aliases,
acronyms,
legalTerms,
financialTerms,
metricVariants
]),
entities: query.entities,
date_range: query.date_range,
jurisdictions: query.jurisdictions,
allowed_source_types:
query.allowed_source_types
};
}
function retrieveEvidence(
query: EvidenceQuery,
indexes: RetrievalIndexes
): EvidenceCandidate[] {
let expanded = expandEvidenceQuery(query);
let denseResults = indexes.dense.search(
embed(expanded.text),
limit=160
);
let sparseResults = indexes.sparse.search(
expanded.terms,
limit=160
);
let entityResults = indexes.entity.search(
expanded.entities,
limit=120
);
let temporalResults = indexes.temporal.filter(
expanded.date_range
);
let legalResults = indexes.legal.search(
expanded.terms,
limit=96
);
let metadataResults = indexes.metadata.filter({
source_types:
expanded.allowed_source_types,
jurisdictions:
expanded.jurisdictions
});
let graphResults = expandThroughReferenceGraph(
indexes.graph,
seedResults=union(
denseResults,
sparseResults,
legalResults
),
depth=2
);
let fused = reciprocalRankFusion([
denseResults,
sparseResults,
entityResults,
temporalResults,
legalResults,
metadataResults,
graphResults
], weights=[
0.28,
0.22,
0.13,
0.08,
0.11,
0.08,
0.10
]);
let reranked = crossEncoderRerank(
query.text,
fused,
limit=64
);
let diversified = maximalMarginalRelevance(
reranked,
lambda=0.78,
limit=48
);
return diversified.map(result => {
let segment =
indexes.segment_store[result.segment_id];
return {
segment,
relevance_score: result.score,
authority_score:
result.source.authority_score,
freshness_score:
result.source.freshness_score,
completeness_score:
result.source.completeness_score,
combined_score: weightedMean([
[result.score, 0.50],
[result.source.authority_score, 0.27],
[result.source.freshness_score, 0.13],
[result.source.completeness_score, 0.10]
]),
retrieval_path: result.path,
query_id: query.query_id
};
});
}
function retrieveEvidenceForAllBranches(
graph: ExecutionGraph,
indexes: RetrievalIndexes
): BranchEvidenceMap {
let branchQueries = graph.branches().map(
branch => compileBranchEvidenceQueries(branch)
);
let results = parallelMap(
flatten(branchQueries),
RETRIEVAL_PARALLELISM,
query => retrieveEvidence(query, indexes)
);
return groupEvidenceByBranch(results);
}
/* ============================================================================================ */
/* ENTITY RESOLUTION / RECORD LINKAGE / KNOWLEDGE GRAPH
/* ============================================================================================ */
function resolveEntitiesAcrossBranches(
evidence: BranchEvidenceMap,
indexes: RetrievalIndexes
): Entity[] {
let mentions = collectEntityMentions(
evidence
);
let normalized = mentions.map(mention => ({
...mention,
normalized_text:
normalizeEntityName(mention.text),
entity_type:
classifyEntityType(mention),
local_context:
getLocalContext(mention, indexes),
identifiers:
extractEntityIdentifiers(mention),
jurisdiction:
inferMentionJurisdiction(mention),
event_time:
inferMentionEventTime(mention)
}));
let blocks = generateEntityBlocks(normalized, {
exact_identifier: true,
normalized_name_prefix: true,
phonetic_key: true,
jurisdiction: true,
entity_type: true
});
let candidatePairs = [];
for (block in blocks) {
candidatePairs.push(
...allCandidatePairs(block)
);
}
let scoredPairs = candidatePairs.map(pair => ({
pair,
score: weightedMean([
[nameSimilarity(pair), 0.24],
[aliasSimilarity(pair), 0.12],
[identifierCompatibility(pair), 0.25],
[contextualSimilarity(pair), 0.15],
[jurisdictionCompatibility(pair), 0.09],
[temporalCompatibility(pair), 0.07],
[relationshipCompatibility(pair), 0.08]
])
}));
let acceptedEdges = scoredPairs.filter(
candidate => candidate.score >=
ENTITY_LINK_THRESHOLD
);
let clusters = constrainedGraphCluster(
acceptedEdges,
constraints=[
"incompatible_unique_identifiers_must_not_merge",
"incompatible_entity_types_must_not_merge",
"mutually_exclusive_jurisdictions_require_review"
]
);
return clusters.map(cluster => ({
entity_id: stableEntityId(cluster),
canonical_name:
selectCanonicalEntityName(cluster),
entity_type:
voteEntityType(cluster),
aliases:
unique(cluster.map(node => node.text)),
identifiers:
mergeEntityIdentifiers(cluster),
jurisdictions:
inferEntityJurisdictions(cluster),
parent_entity_id:
resolveParentEntity(cluster),
confidence:
calculateClusterConfidence(cluster),
evidence:
collectEntityEvidence(cluster)
}));
}
function buildKnowledgeGraph(
entities: Entity[],
claims: Claim[],
metrics: Metric[]
): DirectedGraph {
let graph = new DirectedGraph();
for (entity in entities) {
graph.addNode(entity.entity_id, {
node_type: "entity",
canonical_name: entity.canonical_name,
entity_type: entity.entity_type,
confidence: entity.confidence
});
}
for (claim in claims) {
graph.addNode(claim.claim_id, {
node_type: "claim",
predicate: claim.predicate,
confidence: claim.confidence,
modality: claim.modality
});
if (claim.subject_entity_id != null) {
graph.addEdge(
claim.subject_entity_id,
claim.claim_id,
"asserts"
);
}
for (dependency in claim.depends_on) {
graph.addEdge(
dependency,
claim.claim_id,
"supports"
);
}
for (contradiction in claim.contradicts) {
graph.addEdge(
claim.claim_id,
contradiction,
"contradicts"
);
}
}
for (metric in metrics) {
graph.addNode(metric.metric_id, {
node_type: "metric",
canonical_name:
metric.canonical_name,
value: metric.value,
unit: metric.unit,
confidence: metric.confidence
});
}
return graph;
}
/* ============================================================================================ */
/* CLAIM EXTRACTION / METRIC EXTRACTION / TEMPORAL REASONING
/* ============================================================================================ */
function extractClaimsAcrossBranches(
evidence: BranchEvidenceMap,
entities: Entity[]
): Claim[] {
let segments = collectUniqueEvidenceSegments(
evidence
);
let rawClaims = parallelMap(
batchByTokenLimit(segments, 64000),
16,
batch => structuredExtract(batch, {
schema: Claim,
require_exact_evidence_offsets: true,
allow_unresolved_entities: true,
extract_negation: true,
extract_modality: true,
extract_qualifiers: true,
extract_effective_dates: true,
extract_event_dates: true,
extract_scope: true,
extract_conditions: true,
extract_exceptions: true,
separate_fact_from_opinion: true,
separate_actual_from_projection: true,
separate_rule_from_guidance: true
})
);
let linked = flatten(rawClaims).map(
claim => linkClaimEntities(
claim,
entities
)
);
let deduplicated =
semanticClaimDeduplication(linked);
let calibrated =
calibrateClaimConfidence(deduplicated);
let evidenceBound =
enforceEvidenceBinding(calibrated);
let contradictionAnnotated =
annotateLocalContradictions(evidenceBound);
return contradictionAnnotated.filter(
claim => claim.evidence.length > 0
);
}
function extractMetricsAcrossBranches(
evidence: BranchEvidenceMap,
entities: Entity[]
): Metric[] {
let segments = collectMetricBearingSegments(
evidence
);
let candidates = [];
for (segment in segments) {
candidates.push(
...parseQuantitativeStatements(segment, {
preserve_reported_name: true,
preserve_reported_unit: true,
preserve_reported_currency: true,
preserve_reported_scale: true,
preserve_reported_precision: true,
detect_reporting_period: true,
detect_point_in_time: true,
detect_restatement: true,
detect_non_gaap: true,
detect_estimate: true,
detect_forecast: true,
bind_table_headers: true,
bind_row_labels: true,
bind_column_labels: true,
bind_footnotes: true,
bind_entity_scope: true
})
);
}
return candidates.map(candidate => ({
metric_id: stableMetricId(candidate),
canonical_name:
canonicalizeMetricName(candidate),
reported_name:
candidate.reported_name,
value:
parseDecimal(candidate.value),
unit:
normalizeUnit(candidate.unit),
scale:
parseScale(candidate.scale),
currency:
normalizeCurrency(
candidate.currency,
candidate.source_context
),
period_start:
normalizeDate(candidate.period_start),
period_end:
normalizeDate(candidate.period_end),
dimensions:
normalizeMetricDimensions(
candidate.dimensions,
entities
),
methodology:
candidate.methodology,
formula:
candidate.formula,
confidence:
scoreMetricConfidence(candidate),
evidence:
candidate.evidence
}));
}
function constructUnifiedTimeline(
claims: Claim[],
metrics: Metric[]
): Timeline {
let events = [];
for (claim in claims) {
let time = coalesce(
claim.event_time,
claim.effective_time,
inferClaimTime(claim)
);
if (time != null) {
events.push({
event_id:
stableHash(["claim", claim.claim_id]),
event_type:
inferEventType(claim),
time,
description:
verbalizeClaim(claim),
participants:
extractClaimParticipants(claim),
confidence:
claim.confidence,
evidence:
claim.evidence
});
}
}
for (metric in metrics) {
let time = {
start: metric.period_start,
end: metric.period_end
};
events.push({
event_id:
stableHash(["metric", metric.metric_id]),
event_type: "metric_observation",
time,
description:
verbalizeMetric(metric),
participants:
metric.dimensions,
confidence:
metric.confidence,
evidence:
metric.evidence
});
}
let ordered = stableSort(
events,
event => event.time
);
return {
events: ordered,
temporal_relations:
inferTemporalRelations(ordered),
unresolved_dates:
detectUnresolvedDates(ordered),
temporal_conflicts:
detectTemporalConflicts(ordered)
};
}
/* ============================================================================================ */
/* CONFLICT DETECTION / UNCERTAINTY / EVIDENCE GRAPH
/* ============================================================================================ */
function detectCrossSourceConflicts(
claims: Claim[],
metrics: Metric[],
timeline: Timeline
): Conflict[] {
let conflicts = [];
let claimPairs =
generateComparableClaimPairs(claims);
for (pair in claimPairs) {
let score = scoreContradiction(
pair.left,
pair.right
);
if (score >= CONTRADICTION_THRESHOLD) {
conflicts.push({
conflict_id:
generateConflictId(pair),
conflict_type:
"claim_contradiction",
left_id:
pair.left.claim_id,
right_id:
pair.right.claim_id,
score,
possible_explanations: [
"different_reporting_period",
"different_entity_scope",
"restated_value",
"jurisdiction_difference",
"definition_difference",
"source_error",
"translation_difference",
"genuine_disagreement"
],
status:
"unresolved"
});
}
}
let metricGroups =
groupComparableMetrics(metrics);
for (group in metricGroups) {
let outliers =
detectMetricOutliers(group);
for (outlier in outliers) {
conflicts.push({
conflict_id:
generateConflictId(outlier),
conflict_type:
"quantitative_variance",
left_id:
outlier.metric_id,
right_id:
outlier.comparison_metric_id,
score:
outlier.variance_score,
possible_explanations: [
"currency_conversion",
"scale_normalization",
"period_mismatch",
"rounding",
"restatement",
"scope_difference",
"methodology_change"
],
status:
"unresolved"
});
}
}
conflicts.push(
...timeline.temporal_conflicts
);
return conflicts;
}
function buildUnifiedEvidenceGraph(
input: EvidenceGraphInput
): DirectedGraph {
let graph = new DirectedGraph();
for (source in input.sources) {
graph.addNode(
source.identity.source_id,
{
node_type: "source",
authority_score:
source.authority_score,
freshness_score:
source.freshness_score,
published_at:
source.identity.published_at,
content_hash:
source.identity.content_hash
}
);
}
for (segment in input.segments) {
graph.addNode(
segment.segment_id,
{
node_type: "segment",
checksum: segment.checksum,
page_range: segment.page_range
}
);
graph.addEdge(
segment.source_id,
segment.segment_id,
"contains"
);
}
for (entity in input.entities) {
graph.addNode(
entity.entity_id,
{
node_type: "entity",
canonical_name:
entity.canonical_name,
entity_type:
entity.entity_type,
confidence:
entity.confidence
}
);
for (span in entity.evidence) {
graph.addEdge(
span.source_id,
entity.entity_id,
"supports_identity"
);
}
}
for (claim in input.claims) {
graph.addNode(
claim.claim_id,
{
node_type: "claim",
claim_type:
claim.claim_type,
modality:
claim.modality,
confidence:
claim.confidence,
evidence_state:
claim.evidence_state
}
);
for (span in claim.evidence) {
graph.addEdge(
span.source_id,
claim.claim_id,
"supports_claim",
{
page: span.page,
section_path:
span.section_path,
start_offset:
span.start_offset,
end_offset:
span.end_offset,
exact_text_hash:
span.exact_text_hash
}
);
}
}
for (metric in input.metrics) {
graph.addNode(
metric.metric_id,
{
node_type: "metric",
name:
metric.canonical_name,
value:
metric.value,
unit:
metric.unit,
confidence:
metric.confidence
}
);
for (span in metric.evidence) {
graph.addEdge(
span.source_id,
metric.metric_id,
"supports_metric"
);
}
}
for (conflict in input.conflicts) {
graph.addNode(
conflict.conflict_id,
{
node_type: "conflict",
conflict_type:
conflict.conflict_type,
score:
conflict.score,
status:
conflict.status
}
);
graph.addEdge(
conflict.conflict_id,
conflict.left_id,
"involves"
);
graph.addEdge(
conflict.conflict_id,
conflict.right_id,
"involves"
);
}
graph.assertNoDanglingEvidence();
graph.computeSourceToOutputPaths();
return graph;
}
/* ============================================================================================ */
/* CONCURRENT WORKFLOW EXECUTION
/* ============================================================================================ */
function executeWorkflowBranchesConcurrently(
input: WorkflowExecutionInput
): WorkflowOutput[] {
let branches = [];
if (
input.request.workflow_kinds.includes(
WorkflowKind.COMMERCIAL_DUE_DILIGENCE
)
) {
branches.push(() =>
runCommercialDueDiligence(input)
);
}
if (
input.request.workflow_kinds.includes(
WorkflowKind.REGULATORY_INTELLIGENCE
)
) {
branches.push(() =>
runRegulatoryIntelligence(input)
);
}
if (
input.request.workflow_kinds.includes(
WorkflowKind.PUBLIC_SECTOR_ANALYSIS
)
) {
branches.push(() =>
runPublicSectorAnalysis(input)
);
}
if (
input.request.workflow_kinds.includes(
WorkflowKind.DATA_AND_EDITORIAL_RESEARCH
)
) {
branches.push(() =>
runDataEditorialResearch(input)
);
}
return parallelInvoke(
branches,
max_parallelism=4,
shared_read_only_state=input.evidenceGraph
);
}
/* ============================================================================================ */
/* COMMERCIAL DUE DILIGENCE
/* ============================================================================================ */
function runCommercialDueDiligence(
input: WorkflowExecutionInput
): WorkflowOutput {
let target =
identifyTargetCompany(input.entities);
let businessModel =
reconstructBusinessModel({
target,
claims: input.claims,
metrics: input.metrics,
evidence_graph:
input.evidenceGraph
});
let market =
defineRelevantMarket({
target,
business_model:
businessModel,
claims:
input.claims,
entities:
input.entities
});
let productPortfolio =
analyzeProductPortfolio({
target,
claims: input.claims,
metrics: input.metrics
});
let customerBase =
analyzeCustomerBase({
target,
claims: input.claims,
metrics: input.metrics,
entities: input.entities
});
let financialProfile =
constructFinancialProfile({
target,
metrics: input.metrics,
claims: input.claims
});
let competition =
mapCompetitiveLandscape({
target,
market,
entities:
input.entities,
claims:
input.claims,
metrics:
input.metrics
});
let operatingModel =
analyzeOperatingModel({
target,
claims:
input.claims,
entities:
input.entities,
timeline:
input.timeline
});
let dependencies =
identifyCriticalDependencies({
target,
suppliers:
operatingModel.suppliers,
customers:
customerBase.customers,
technology:
operatingModel.technology,
personnel:
operatingModel.key_people,
regulators:
operatingModel.regulators
});
let risks =
scoreDiligenceRisks({
business_model:
businessModel,
market,
product_portfolio:
productPortfolio,
customer_base:
customerBase,
financial_profile:
financialProfile,
competition,
operating_model:
operatingModel,
dependencies,
conflicts:
input.conflicts
});
let opportunities =
identifyValueCreationOpportunities({
target,
market,
product_portfolio:
productPortfolio,
customer_base:
customerBase,
financial_profile:
financialProfile,
operating_model:
operatingModel
});
return {
workflow:
"commercial_due_diligence",
target,
business_model:
businessModel,
market,
product_portfolio:
productPortfolio,
customer_base:
customerBase,
financial_profile:
financialProfile,
competitive_landscape:
competition,
operating_model:
operatingModel,
critical_dependencies:
dependencies,
risks,
opportunities,
evidence_gaps:
identifyEvidenceGaps(
"commercial_due_diligence",
input
)
};
}
function constructFinancialProfile(
input: FinancialProfileInput
): FinancialProfile {
let revenue =
buildMetricSeries(
input.metrics,
names=[
"revenue",
"net_revenue",
"annual_recurring_revenue"
]
);
let grossProfit =
buildMetricSeries(
input.metrics,
names=[
"gross_profit",
"gross_margin"
]
);
let operatingProfit =
buildMetricSeries(
input.metrics,
names=[
"operating_income",
"ebit",
"ebitda"
]
);
let cashFlow =
buildMetricSeries(
input.metrics,
names=[
"operating_cash_flow",
"free_cash_flow"
]
);
let growthRates =
calculateGrowthRates(revenue, {
periods: [
"year_over_year",
"compound_annual"
],
require_comparable_scope: true
});
let margins =
calculateMargins({
revenue,
gross_profit:
grossProfit,
operating_profit:
operatingProfit,
cash_flow:
cashFlow
});
let quality =
assessRevenueQuality({
recurring_share:
deriveRecurringRevenueShare(
input.metrics
),
concentration:
deriveCustomerConcentration(
input.metrics
),
retention:
deriveRetentionMetrics(
input.metrics
),
backlog:
deriveBacklogMetrics(
input.metrics
),
cash_conversion:
deriveCashConversion(
input.metrics
)
});
return {
revenue,
gross_profit:
grossProfit,
operating_profit:
operatingProfit,
cash_flow:
cashFlow,
growth_rates:
growthRates,
margins,
quality,
adjustments:
detectFinancialAdjustments(
input.claims
),
confidence:
aggregateFinancialConfidence([
revenue,
grossProfit,
operatingProfit,
cashFlow
])
};
}
function scoreDiligenceRisks(
input: DiligenceRiskInput
): Risk[] {
let dimensions = [
"commercial",
"customer",
"product",
"market",
"competitive",
"regulatory",
"operational",
"financial",
"technology",
"personnel",
"reputational",
"execution"
];
return dimensions.map(dimension => {
let signals =
collectRiskSignals(
dimension,
input
);
let severity =
weightedRiskScore(signals, {
magnitude: 0.24,
probability: 0.21,
immediacy: 0.13,
reversibility: 0.10,
evidence_strength: 0.18,
management_control: 0.14
});
return {
dimension,
severity,
classification:
classifyRisk(severity),
signals,
supporting_evidence:
collectRiskEvidence(signals),
mitigating_evidence:
collectMitigatingEvidence(
signals
),
unanswered_questions:
generateRiskFollowUpQuestions(
signals
)
};
});
}
/* ============================================================================================ */
/* REGULATORY INTELLIGENCE
/* ============================================================================================ */
function runRegulatoryIntelligence(
input: WorkflowExecutionInput
): WorkflowOutput {
let authorities =
identifyAuthorities(
input.entities
);
let instruments =
identifyLegalInstruments(
input.claims,
input.entities
);
let provisions =
parseLegalProvisions(
input.claims
);
let obligations =
extractNormativeStatements(
provisions,
modality="required"
);
let prohibitions =
extractNormativeStatements(
provisions,
modality="prohibited"
);
let permissions =
extractNormativeStatements(
provisions,
modality="permitted"
);
let exemptions =
extractExemptions(
provisions
);
let thresholds =
extractRegulatoryThresholds(
provisions,
input.metrics
);
let deadlines =
extractRegulatoryDeadlines(
provisions,
input.timeline
);
let enforcement =
extractEnforcementMechanisms(
provisions,
input.claims
);
let versions =
orderInstrumentVersions(
instruments,
input.timeline
);
let changes =
compareRegulatoryVersions({
versions,
provisions,
thresholds,
deadlines
});
let applicability =
evaluateRegulatoryApplicability({
obligations,
prohibitions,
permissions,
exemptions,
thresholds,
entities:
input.entities,
jurisdictions:
input.request.jurisdiction_scope,
effective_dates:
resolveEffectiveDates(
versions,
input.timeline
)
});
let impact =
evaluateOperationalImpact({
changes,
applicability,
enforcement,
dimensions: [
"governance",
"reporting",
"disclosure",
"data",
"privacy",
"licensing",
"product",
"distribution",
"capital",
"conduct",
"recordkeeping",
"third_party_management"
]
});
let actions =
generateRegulatoryActionPlan({
impact,
deadlines,
applicability,
risk_tolerance:
input.request.risk_tolerance
});
return {
workflow:
"regulatory_intelligence",
authorities,
instruments,
provisions,
obligations,
prohibitions,
permissions,
exemptions,
thresholds,
deadlines,
enforcement,
changes,
applicability,
operational_impact:
impact,
recommended_actions:
actions,
evidence_gaps:
identifyEvidenceGaps(
"regulatory_intelligence",
input
)
};
}
function compareRegulatoryVersions(
input: RegulatoryVersionInput
): RegulatoryChange[] {
let changes = [];
for (
let index = 1;
index < input.versions.length;
index += 1
) {
let previous =
input.versions[index - 1];
let current =
input.versions[index];
let alignment =
alignLegalProvisions(
previous,
current
);
for (pair in alignment) {
let semanticChange =
classifyLegalChange(
pair.previous_text,
pair.current_text
);
if (
semanticChange.type !==
"unchanged"
) {
changes.push({
instrument_id:
current.instrument_id,
previous_version:
previous.version_id,
current_version:
current.version_id,
provision:
pair.provision,
change_type:
semanticChange.type,
previous_text:
pair.previous_text,
current_text:
pair.current_text,
scope_change:
detectScopeChange(pair),
threshold_change:
detectThresholdChange(pair),
deadline_change:
detectDeadlineChange(pair),
enforcement_change:
detectEnforcementChange(pair),
operational_effect:
inferOperationalEffect(
semanticChange
),
effective_date:
current.effective_date,
confidence:
semanticChange.confidence,
evidence:
pair.evidence
});
}
}
}
return changes;
}
/* ============================================================================================ */
/* PUBLIC SECTOR ANALYSIS
/* ============================================================================================ */
function runPublicSectorAnalysis(
input: WorkflowExecutionInput
): WorkflowOutput {
let agencies =
identifyGovernmentEntities(
input.entities
);
let programs =
identifyPublicPrograms(
input.claims,
input.entities
);
let procurements =
identifyProcurements(
input.claims,
input.entities
);
let awards =
extractAwardRecords(
input.metrics,
input.claims
);
let vendors =
identifyVendors(
input.entities,
procurements,
awards
);
let beneficiaries =
identifyBeneficiaries(
input.entities,
input.claims
);
let locations =
resolveOperationalLocations(
input.claims,
input.entities
);
let recordLinks =
linkFragmentedPublicRecords({
agencies,
programs,
procurements,
awards,
vendors,
beneficiaries,
locations
});
let fundingFlows =
reconstructFundingFlows({
agencies,
programs,
awards,
vendors,
beneficiaries,
record_links:
recordLinks
});
let deliveryStatus =
assessProgramDelivery({
programs,
procurements,
awards,
timeline:
input.timeline,
claims:
input.claims,
metrics:
input.metrics
});
let ambiguities =
identifyPublicRecordAmbiguities({
record_links:
recordLinks,
conflicts:
input.conflicts,
entities:
input.entities
});
let operationalPicture =
constructOperationalPicture({
agencies,
programs,
procurements,
awards,
vendors,
beneficiaries,
locations,
funding_flows:
fundingFlows,
delivery_status:
deliveryStatus,
ambiguities
});
return {
workflow:
"public_sector_analysis",
agencies,
programs,
procurements,
awards,
vendors,
beneficiaries,
locations,
record_links:
recordLinks,
funding_flows:
fundingFlows,
delivery_status:
deliveryStatus,
ambiguities,
operational_picture:
operationalPicture,
evidence_gaps:
identifyEvidenceGaps(
"public_sector_analysis",
input
)
};
}
function linkFragmentedPublicRecords(
input: PublicRecordInput
): RecordLink[] {
let records = flatten([
input.agencies,
input.programs,
input.procurements,
input.awards,
input.vendors,
input.beneficiaries,
input.locations
]);
let candidates =
generateRecordLinkCandidates(
records,
{
exact_identifiers: [
"contract_number",
"award_id",
"vendor_id",
"agency_code",
"program_code",
"registration_number",
"notice_id"
],
fuzzy_fields: [
"organization_name",
"address",
"program_title",
"description",
"contact_name"
],
temporal_window_days: 730,
geographic_tolerance_km: 25
}
);
return candidates.map(candidate => {
let score = weightedMean([
[identifierMatch(candidate), 0.40],
[nameSimilarity(candidate), 0.17],
[addressSimilarity(candidate), 0.12],
[temporalOverlap(candidate), 0.10],
[amountCompatibility(candidate), 0.08],
[agencyCompatibility(candidate), 0.08],
[descriptionSimilarity(candidate), 0.05]
]);
return {
left_record_id:
candidate.left.id,
right_record_id:
candidate.right.id,
relationship:
inferRecordRelationship(
candidate
),
confidence:
score,
accepted:
score >= 0.87,
evidence:
collectRecordLinkEvidence(
candidate
),
explanation:
explainRecordLinkScore(
candidate,
score
)
};
});
}
/* ============================================================================================ */
/* DATA AND EDITORIAL RESEARCH
/* ============================================================================================ */
function runDataEditorialResearch(
input: WorkflowExecutionInput
): WorkflowOutput {
let datasets =
identifyDatasets(
input.sources
);
let definitions =
extractMetricDefinitions(
input.claims
);
let metricSeries =
buildCanonicalMetricSeries({
metrics:
input.metrics,
definitions,
entities:
input.entities
});
let comparability =
evaluateMetricComparability({
metric_series:
metricSeries,
definitions,
dimensions: [
"unit",
"currency",
"time_period",
"geography",
"population",
"entity_scope",
"methodology",
"source",
"revision_status"
]
});
let calculations =
executeVerifiedCalculations({
metric_series:
metricSeries,
comparability,
require_formula_lineage: true,
require_input_citations: true,
require_independent_recalculation: true
});
let findings =
deriveResearchFindings({
questions:
input.request.questions,
claims:
input.claims,
metrics:
input.metrics,
calculations,
timeline:
input.timeline,
conflicts:
input.conflicts
});
let narrative =
synthesizeEditorialNarrative({
findings,
style:
"precise_non_promotional",
separate_fact_from_interpretation:
true,
preserve_uncertainty:
true,
cite_material_claims:
true,
avoid_unsupported_causality:
true
});
let visualizations =
proposeDataVisualizations({
metric_series:
metricSeries,
calculations,
findings,
chart_policy: {
label_units: true,
disclose_missing_data: true,
disclose_transformations: true,
maintain_comparable_scales: true,
use_zero_baseline_when_required: true,
attach_source_notes: true
}
});
return {
workflow:
"data_and_editorial_research",
datasets,
metric_definitions:
definitions,
metric_series:
metricSeries,
comparability,
calculations,
findings,
narrative,
visualizations,
evidence_gaps:
identifyEvidenceGaps(
"data_and_editorial_research",
input
)
};
}
function executeVerifiedCalculations(
input: CalculationInput
): CalculationResult[] {
let results = [];
for (
request in
input.metric_series.calculation_requests
) {
let values =
resolveCalculationInputs(
request,
input.metric_series
);
assertCompatibleUnits(values);
assertCompatiblePeriods(values);
assertComparableScopes(
values,
input.comparability
);
let result =
safeEvaluateFormula(
request.formula,
values
);
let independentResult =
independentlyRecalculate(
request.formula,
values
);
assert(
absoluteDifference(
result,
independentResult
) <=
request.allowed_tolerance
);
results.push({
calculation_id:
stableHash(request),
formula:
request.formula,
inputs:
values.map(value => ({
metric_id:
value.metric_id,
value:
value.value,
unit:
value.unit,
period:
value.period,
evidence:
value.evidence
})),
result,
independent_result:
independentResult,
output_unit:
inferFormulaUnit(
request.formula,
values
),
lineage:
createCalculationLineage(
request,
values
)
});
}
return results;
}
/* ============================================================================================ */
/* CROSS-WORKFLOW RECONCILIATION
/* ============================================================================================ */
function reconcileWorkflowOutputs(
outputs: WorkflowOutput[],
evidenceGraph: DirectedGraph
): ReconciledOutput {
let sharedEntities =
reconcileSharedEntities(outputs);
let sharedMetrics =
reconcileSharedMetrics(outputs);
let sharedClaims =
reconcileSharedClaims(outputs);
let crossWorkflowConflicts =
detectCrossWorkflowConflicts({
outputs,
shared_entities:
sharedEntities,
shared_metrics:
sharedMetrics,
shared_claims:
sharedClaims
});
let dependencyGraph =
buildCrossWorkflowDependencyGraph({
outputs,
shared_entities:
sharedEntities,
shared_metrics:
sharedMetrics,
shared_claims:
sharedClaims
});
let unifiedFindings =
synthesizeUnifiedFindings({
outputs,
dependency_graph:
dependencyGraph,
conflicts:
crossWorkflowConflicts,
evidence_graph:
evidenceGraph
});
return {
workflow_outputs:
outputs,
shared_entities:
sharedEntities,
shared_metrics:
sharedMetrics,
shared_claims:
sharedClaims,
cross_workflow_conflicts:
crossWorkflowConflicts,
dependency_graph:
dependencyGraph,
unified_findings:
unifiedFindings
};
}
function synthesizeUnifiedFindings(
input: UnifiedFindingInput
): Finding[] {
let candidateFindings =
collectMaterialFindings(
input.outputs
);
let ranked =
rankFindingsByDecisionRelevance(
candidateFindings
);
return ranked.map(finding => {
let evidencePaths =
input.evidence_graph
.pathsToSources(
finding.finding_id
);
let dependencyPaths =
input.dependency_graph
.upstreamDependencies(
finding.finding_id
);
let confidence =
calibrateFindingConfidence({
evidence_paths:
evidencePaths,
dependency_paths:
dependencyPaths,
conflicts:
input.conflicts,
source_diversity:
countDistinctSources(
evidencePaths
)
});
return {
...finding,
confidence,
evidence_paths:
evidencePaths,
dependency_paths:
dependencyPaths,
unresolved_conflicts:
findRelevantConflicts(
finding,
input.conflicts
)
};
});
}
/* ============================================================================================ */
/* GLOBAL VERIFICATION / SAFETY / QUALITY CONTROL
/* ============================================================================================ */
function runGlobalVerificationSuite(
output: ReconciledOutput,
evidenceGraph: DirectedGraph,
request: WorkflowRequest
): VerifiedOutput {
let schema =
validateAgainstSchema(
output,
request.output_schema
);
let citations =
validateAllMaterialCitations(
output,
evidenceGraph
);
let quantities =
validateAllQuantitativeClaims(
output,
evidenceGraph
);
let entities =
validateEntityConsistency(
output
);
let temporal =
validateTemporalConsistency(
output
);
let legal =
validateLegalCharacterization(
output,
evidenceGraph
);
let causality =
validateCausalLanguage(
output
);
let coverage =
evaluateQuestionCoverage(
output,
request.questions
);
let uncertainty =
validateUncertaintyCalibration(
output
);
let privacy =
validatePrivacyAndRedaction(
output
);
let policy =
validateOperationalPolicy(
output
);
return {
output,
validation: {
schema,
citations,
quantities,
entities,
temporal,
legal,
causality,
coverage,
uncertainty,
privacy,
policy
},
passed:
schema.passed &&
citations.passed &&
quantities.passed &&
entities.passed &&
temporal.passed &&
legal.passed &&
causality.passed &&
coverage.passed &&
uncertainty.passed &&
privacy.passed &&
policy.passed,
warnings:
collectValidationWarnings([
schema,
citations,
quantities,
entities,
temporal,
legal,
causality,
coverage,
uncertainty,
privacy,
policy
])
};
}
function validateAllMaterialCitations(
output: ReconciledOutput,
evidenceGraph: DirectedGraph
): ValidationResult {
let statements =
enumerateMaterialStatements(
output
);
let failures = [];
for (statement in statements) {
let citations =
findStatementCitations(
statement
);
if (citations.length === 0) {
failures.push({
statement_id:
statement.statement_id,
reason:
"missing_citation"
});
continue;
}
let support =
citations.map(citation =>
verifyCitationSupport(
statement,
citation,
evidenceGraph
)
);
if (
!support.some(
result => result.entails
)
) {
failures.push({
statement_id:
statement.statement_id,
reason:
"citation_does_not_entail_statement"
});
}
if (
statement.claim_type ===
"quantitative" &&
!support.some(
result =>
result.exact_numeric_match
)
) {
failures.push({
statement_id:
statement.statement_id,
reason:
"numeric_value_not_found_in_evidence"
});
}
if (
statement.claim_type ===
"legal" &&
!support.some(
result =>
result.source_authority_level ===
"primary"
)
) {
failures.push({
statement_id:
statement.statement_id,
reason:
"primary_legal_authority_missing"
});
}
}
return {
passed:
failures.length === 0,
checked:
statements.length,
failures
};
}
function validateCausalLanguage(
output: ReconciledOutput
): ValidationResult {
let causalStatements =
detectCausalStatements(
output
);
let failures = [];
for (statement in causalStatements) {
let basis =
classifyCausalBasis(
statement
);
if (
basis === "correlation_only" ||
basis === "unsupported"
) {
failures.push({
statement_id:
statement.statement_id,
reason:
"causal_language_exceeds_evidence",
recommended_revision:
weakenCausalLanguage(
statement
)
});
}
}
return {
passed:
failures.length === 0,
checked:
causalStatements.length,
failures
};
}
/* ============================================================================================ */
/* HUMAN REVIEW / OUTPUT / AUDIT
/* ============================================================================================ */
function applyRiskAdaptiveHumanReview(
verified: VerifiedOutput,
request: WorkflowRequest
): ReviewedOutput {
let reviewPacket = {
workflow_id:
request.workflow_id,
high_impact_findings:
selectHighImpactFindings(
verified.output
),
unresolved_conflicts:
selectUnresolvedConflicts(
verified.output
),
low_confidence_items:
selectLowConfidenceItems(
verified.output,
CLAIM_CONFIDENCE_THRESHOLD
),
legal_interpretations:
selectLegalInterpretations(
verified.output
),
quantitative_transformations:
selectQuantitativeTransformations(
verified.output
),
policy_warnings:
verified.warnings,
failed_validations:
selectFailedValidations(
verified.validation
)
};
let required =
determineReviewRequirement({
packet:
reviewPacket,
request,
mode:
HUMAN_REVIEW_MODE
});
if (!required) {
return {
approved: true,
output:
verified.output,
review_summary: {
mode:
"automatic_low_risk",
reviewed_items:
0
}
};
}
let decisions =
requestHumanReview(
reviewPacket
);
return applyReviewDecisions({
verified,
decisions,
preserve_original_evidence: true,
preserve_revision_history: true,
record_reviewer_identity: true,
require_reason_for_override: true
});
}
function renderAuditReadyOutput(
reviewed: ReviewedOutput,
schema: JSONSchema
): WorkflowResult {
let structured =
projectToSchema(
reviewed.output,
schema
);
let executiveSummary =
renderExecutiveSummary(
reviewed.output
);
let findings =
renderFindings(
reviewed.output
);
let risks =
renderRiskRegister(
reviewed.output
);
let actions =
renderActionPlan(
reviewed.output
);
let citations =
renderSourceLineage(
reviewed.output,
{
include_source_title: true,
include_publisher: true,
include_publication_date: true,
include_effective_date: true,
include_page: true,
include_section: true,
include_span_hash: true,
include_access_date: true
}
);
let methodology =
renderMethodology({
retrieval:
"hybrid_dense_sparse_graph",
reranking:
"cross_encoder",
entity_resolution:
"constrained_graph_clustering",
claim_extraction:
"schema_constrained_evidence_bound",
calculations:
"formula_lineage_independent_recalculation",
review:
reviewed.review_summary
});
return {
status:
reviewed.approved
? "approved"
: "review_required",
generated_at:
now(),
executive_summary:
executiveSummary,
findings,
risks,
actions,
structured_output:
structured,
citations,
methodology,
limitations:
collectOutputLimitations(
reviewed.output
),
audit_reference:
generateAuditReference()
};
}
function persistImmutableAuditPackage(
input: AuditPackageInput
): void {
let packageData = {
workflow_id:
input.request.workflow_id,
request_hash:
stableHash(input.request),
execution_graph_hash:
stableHash(input.graph),
source_manifest:
input.sources.map(source => ({
source_id:
source.identity.source_id,
canonical_uri:
source.identity.canonical_uri,
content_hash:
source.identity.content_hash,
retrieved_at:
source.identity.retrieved_at
})),
entity_snapshot:
input.entities,
claim_snapshot:
input.claims,
metric_snapshot:
input.metrics,
conflict_snapshot:
input.conflicts,
evidence_graph_hash:
input.evidenceGraph.hash(),
review_snapshot:
input.reviewed.review_summary,
output_hash:
stableHash(input.rendered),
build_id:
BUILD_ID,
completed_at:
now()
};
appendOnlyAuditStore.write(
cryptographicallySeal(
packageData
)
);
}
/* ============================================================================================ */
/* TRANSFORMER LAYER EXECUTION MAP
/* ============================================================================================ */
layer[00].execute({
block_group: 0,
pre_norm: "rms_norm",
attention: {
type: "grouped_query_flash_attention",
query_heads: 128,
key_value_heads: 16,
head_dimension: 128,
rotary_embedding: "long_context_scaled_rope",
causal_mask: true,
kv_cache: "paged_fp8"
},
residual_connection: "parallel_safe",
feed_forward: {
type: "sparse_mixture_of_experts",
experts_total: 128,
experts_active: 8,
activation: "silu_gated",
router: "top_k_capacity_aware",
load_balance_monitor: true
},
numerical_guards: {
finite_check: true,
overflow_check: true,
accumulation_dtype: "fp32"
}
});
layer[01].execute({
block_group: 0,
pre_norm: "rms_norm",
attention: {
type: "grouped_query_flash_attention",
query_heads: 128,
key_value_heads: 16,
head_dimension: 128,
rotary_embedding: "long_context_scaled_rope",
causal_mask: true,
kv_cache: "paged_fp8"
},
residual_connection: "parallel_safe",
feed_forward: {
type: "sparse_mixture_of_experts",
experts_total: 128,
experts_active: 8,
activation: "silu_gated",
router: "top_k_capacity_aware",
load_balance_monitor: true
},
numerical_guards: {
finite_check: true,
overflow_check: true,
accumulation_dtype: "fp32"
}
});
layer[02].execute({
block_group: 0,
pre_norm: "rms_norm",
attention: {
type: "grouped_query_flash_attention",
query_heads: 128,
key_value_heads: 16,
head_dimension: 128,
rotary_embedding: "long_context_scaled_rope",
causal_mask: true,
kv_cache: "paged_fp8"
},
residual_connection: "parallel_safe",
feed_forward: {
type: "sparse_mixture_of_experts",
experts_total: 128,
experts_active: 8,
activation: "silu_gated",
router: "top_k_capacity_aware",
load_balance_monitor: true
},
numerical_guards: {
finite_check: true,
overflow_check: true,
accumulation_dtype: "fp32"
}
});
layer[03].execute({
block_group: 0,
pre_norm: "rms_norm",
attention: {
type: "grouped_query_flash_attention",
query_heads: 128,
key_value_heads: 16,
head_dimension: 128,
rotary_embedding: "long_context_scaled_rope",
causal_mask: true,
kv_cache: "paged_fp8"
},
residual_connection: "parallel_safe",
feed_forward: {
type: "sparse_mixture_of_experts",
experts_total: 128,
experts_active: 8,
activation: "silu_gated",
router: "top_k_capacity_aware",
load_balance_monitor: true
},
numerical_guards: {
finite_check: true,
overflow_check: true,
accumulation_dtype: "fp32"
}
});
layer[04].execute({
block_group: 0,
pre_norm: "rms_norm",
attention: {
type: "grouped_query_flash_attention",
query_heads: 128,
key_value_heads: 16,
head_dimension: 128,
rotary_embedding: "long_context_scaled_rope",
causal_mask: true,
kv_cache: "paged_fp8"
},
residual_connection: "parallel_safe",
feed_forward: {
type: "sparse_mixture_of_experts",
experts_total: 128,
experts_active: 8,
activation: "silu_gated",
router: "top_k_capacity_aware",
load_balance_monitor: true
},
numerical_guards: {
finite_check: true,
overflow_check: true,
accumulation_dtype: "fp32"
}
});
layer[05].execute({
block_group: 0,
pre_norm: "rms_norm",
attention: {
type: "grouped_query_flash_attention",
query_heads: 128,
key_value_heads: 16,
head_dimension: 128,
rotary_embedding: "long_context_scaled_rope",
causal_mask: true,
kv_cache: "paged_fp8"
},
residual_connection: "parallel_safe",
feed_forward: {
type: "sparse_mixture_of_experts",
experts_total: 128,
experts_active: 8,
activation: "silu_gated",
router: "top_k_capacity_aware",
load_balance_monitor: true
},
numerical_guards: {
finite_check: true,
overflow_check: true,
accumulation_dtype: "fp32"
}
});
layer[06].execute({
block_group: 0,
pre_norm: "rms_norm",
attention: {
type: "grouped_query_flash_attention",
query_heads: 128,
key_value_heads: 16,
head_dimension: 128,
rotary_embedding: "long_context_scaled_rope",
causal_mask: true,
kv_cache: "paged_fp8"
},
residual_connection: "parallel_safe",
feed_forward: {
type: "sparse_mixture_of_experts",
experts_total: 128,
experts_active: 8,
activation: "silu_gated",
router: "top_k_capacity_aware",
load_balance_monitor: true
},
numerical_guards: {
finite_check: true,
overflow_check: true,
accumulation_dtype: "fp32"
}
});
layer[07].execute({
block_group: 0,
pre_norm: "rms_norm",
attention: {
type: "grouped_query_flash_attention",
query_heads: 128,
key_value_heads: 16,
head_dimension: 128,
rotary_embedding: "long_context_scaled_rope",
causal_mask: true,
kv_cache: "paged_fp8"
},
residual_connection: "parallel_safe",
feed_forward: {
type: "sparse_mixture_of_experts",
experts_total: 128,
experts_active: 8,
activation: "silu_gated",
router: "top_k_capacity_aware",
load_balance_monitor: true
},
numerical_guards: {
finite_check: true,
overflow_check: true,
accumulation_dtype: "fp32"
}
});
layer[08].execute({
block_group: 1,
pre_norm: "rms_norm",
attention: {
type: "grouped_query_flash_attention",
query_heads: 128,
key_value_heads: 16,
head_dimension: 128,
rotary_embedding: "long_context_scaled_rope",
causal_mask: true,
kv_cache: "paged_fp8"
},
residual_connection: "parallel_safe",
feed_forward: {
type: "sparse_mixture_of_experts",
experts_total: 128,
experts_active: 8,
activation: "silu_gated",
router: "top_k_capacity_aware",
load_balance_monitor: true
},
numerical_guards: {
finite_check: true,
overflow_check: true,
accumulation_dtype: "fp32"
}
});
layer[09].execute({
block_group: 1,
pre_norm: "rms_norm",
attention: {
type: "grouped_query_flash_attention",
query_heads: 128,
key_value_heads: 16,
head_dimension: 128,
rotary_embedding: "long_context_scaled_rope",
causal_mask: true,
kv_cache: "paged_fp8"
},
residual_connection: "parallel_safe",
feed_forward: {
type: "sparse_mixture_of_experts",
experts_total: 128,
experts_active: 8,
activation: "silu_gated",
router: "top_k_capacity_aware",
load_balance_monitor: true
},
numerical_guards: {
finite_check: true,
overflow_check: true,
accumulation_dtype: "fp32"
}
});
layer[10].execute({
block_group: 1,
pre_norm: "rms_norm",
attention: {
type: "grouped_query_flash_attention",
query_heads: 128,
key_value_heads: 16,
head_dimension: 128,
rotary_embedding: "long_context_scaled_rope",
causal_mask: true,
kv_cache: "paged_fp8"
},
residual_connection: "parallel_safe",
feed_forward: {
type: "sparse_mixture_of_experts",
experts_total: 128,
experts_active: 8,
activation: "silu_gated",
router: "top_k_capacity_aware",
load_balance_monitor: true
},
numerical_guards: {
finite_check: true,
overflow_check: true,
accumulation_dtype: "fp32"
}
});
layer[11].execute({
block_group: 1,
pre_norm: "rms_norm",
attention: {
type: "grouped_query_flash_attention",
query_heads: 128,
key_value_heads: 16,
head_dimension: 128,
rotary_embedding: "long_context_scaled_rope",
causal_mask: true,
kv_cache: "paged_fp8"
},
residual_connection: "parallel_safe",
feed_forward: {
type: "sparse_mixture_of_experts",
experts_total: 128,
experts_active: 8,
activation: "silu_gated",
router: "top_k_capacity_aware",
load_balance_monitor: true
},
numerical_guards: {
finite_check: true,
overflow_check: true,
accumulation_dtype: "fp32"
}
});
layer[12].execute({
block_group: 1,
pre_norm: "rms_norm",
attention: {
type: "grouped_query_flash_attention",
query_heads: 128,
key_value_heads: 16,
head_dimension: 128,
rotary_embedding: "long_context_scaled_rope",
causal_mask: true,
kv_cache: "paged_fp8"
},
residual_connection: "parallel_safe",
feed_forward: {
type: "sparse_mixture_of_experts",
experts_total: 128,
experts_active: 8,
activation: "silu_gated",
router: "top_k_capacity_aware",
load_balance_monitor: true
},
numerical_guards: {
finite_check: true,
overflow_check: true,
accumulation_dtype: "fp32"
}
});
layer[13].execute({
block_group: 1,
pre_norm: "rms_norm",
attention: {
type: "grouped_query_flash_attention",
query_heads: 128,
key_value_heads: 16,
head_dimension: 128,
rotary_embedding: "long_context_scaled_rope",
causal_mask: true,
kv_cache: "paged_fp8"
},
residual_connection: "parallel_safe",
feed_forward: {
type: "sparse_mixture_of_experts",
experts_total: 128,
experts_active: 8,
activation: "silu_gated",
router: "top_k_capacity_aware",
load_balance_monitor: true
},
numerical_guards: {
finite_check: true,
overflow_check: true,
accumulation_dtype: "fp32"
}
});
layer[14].execute({
block_group: 1,
pre_norm: "rms_norm",
attention: {
type: "grouped_query_flash_attention",
query_heads: 128,
key_value_heads: 16,
head_dimension: 128,
rotary_embedding: "long_context_scaled_rope",
causal_mask: true,
kv_cache: "paged_fp8"
},
residual_connection: "parallel_safe",
feed_forward: {
type: "sparse_mixture_of_experts",
experts_total: 128,
experts_active: 8,
activation: "silu_gated",
router: "top_k_capacity_aware",
load_balance_monitor: true
},
numerical_guards: {
finite_check: true,
overflow_check: true,
accumulation_dtype: "fp32"
}
});
layer[15].execute({
block_group: 1,
pre_norm: "rms_norm",
attention: {
type: "grouped_query_flash_attention",
query_heads: 128,
key_value_heads: 16,
head_dimension: 128,
rotary_embedding: "long_context_scaled_rope",
causal_mask: true,
kv_cache: "paged_fp8"
},
residual_connection: "parallel_safe",
feed_forward: {
type: "sparse_mixture_of_experts",
experts_total: 128,
experts_active: 8,
activation: "silu_gated",
router: "top_k_capacity_aware",
load_balance_monitor: true
},
numerical_guards: {
finite_check: true,
overflow_check: true,
accumulation_dtype: "fp32"
}
});
layer[16].execute({
block_group: 2,
pre_norm: "rms_norm",
attention: {
type: "grouped_query_flash_attention",
query_heads: 128,
key_value_heads: 16,
head_dimension: 128,
rotary_embedding: "long_context_scaled_rope",
causal_mask: true,
kv_cache: "paged_fp8"
},
residual_connection: "parallel_safe",
feed_forward: {
type: "sparse_mixture_of_experts",
experts_total: 128,
experts_active: 8,
activation: "silu_gated",
router: "top_k_capacity_aware",
load_balance_monitor: true
},
numerical_guards: {
finite_check: true,
overflow_check: true,
accumulation_dtype: "fp32"
}
});
layer[17].execute({
block_group: 2,
pre_norm: "rms_norm",
attention: {
type: "grouped_query_flash_attention",
query_heads: 128,
key_value_heads: 16,
head_dimension: 128,
rotary_embedding: "long_context_scaled_rope",
causal_mask: true,
kv_cache: "paged_fp8"
},
residual_connection: "parallel_safe",
feed_forward: {
type: "sparse_mixture_of_experts",
experts_total: 128,
experts_active: 8,
activation: "silu_gated",
router: "top_k_capacity_aware",
load_balance_monitor: true
},
numerical_guards: {
finite_check: true,
overflow_check: true,
accumulation_dtype: "fp32"
}
});
layer[18].execute({
block_group: 2,
pre_norm: "rms_norm",
attention: {
type: "grouped_query_flash_attention",
query_heads: 128,
key_value_heads: 16,
head_dimension: 128,
rotary_embedding: "long_context_scaled_rope",
causal_mask: true,
kv_cache: "paged_fp8"
},
residual_connection: "parallel_safe",
feed_forward: {
type: "sparse_mixture_of_experts",
experts_total: 128,
experts_active: 8,
activation: "silu_gated",
router: "top_k_capacity_aware",
load_balance_monitor: true
},
numerical_guards: {
finite_check: true,
overflow_check: true,
accumulation_dtype: "fp32"
}
});
layer[19].execute({
block_group: 2,
pre_norm: "rms_norm",
attention: {
type: "grouped_query_flash_attention",
query_heads: 128,
key_value_heads: 16,
head_dimension: 128,
rotary_embedding: "long_context_scaled_rope",
causal_mask: true,
kv_cache: "paged_fp8"
},
residual_connection: "parallel_safe",
feed_forward: {
type: "sparse_mixture_of_experts",
experts_total: 128,
experts_active: 8,
activation: "silu_gated",
router: "top_k_capacity_aware",
load_balance_monitor: true
},
numerical_guards: {
finite_check: true,
overflow_check: true,
accumulation_dtype: "fp32"
}
});
layer[20].execute({
block_group: 2,
pre_norm: "rms_norm",
attention: {
type: "grouped_query_flash_attention",
query_heads: 128,
key_value_heads: 16,
head_dimension: 128,
rotary_embedding: "long_context_scaled_rope",
causal_mask: true,
kv_cache: "paged_fp8"
},
residual_connection: "parallel_safe",
feed_forward: {
type: "sparse_mixture_of_experts",
experts_total: 128,
experts_active: 8,
activation: "silu_gated",
router: "top_k_capacity_aware",
load_balance_monitor: true
},
numerical_guards: {
finite_check: true,
overflow_check: true,
accumulation_dtype: "fp32"
}
});
layer[21].execute({
block_group: 2,
pre_norm: "rms_norm",
attention: {
type: "grouped_query_flash_attention",
query_heads: 128,
key_value_heads: 16,
head_dimension: 128,
rotary_embedding: "long_context_scaled_rope",
causal_mask: true,
kv_cache: "paged_fp8"
},
residual_connection: "parallel_safe",
feed_forward: {
type: "sparse_mixture_of_experts",
experts_total: 128,
experts_active: 8,
activation: "silu_gated",
router: "top_k_capacity_aware",
load_balance_monitor: true
},
numerical_guards: {
finite_check: true,
overflow_check: true,
accumulation_dtype: "fp32"
}
});
layer[22].execute({
block_group: 2,
pre_norm: "rms_norm",
attention: {
type: "grouped_query_flash_attention",
query_heads: 128,
key_value_heads: 16,
head_dimension: 128,
rotary_embedding: "long_context_scaled_rope",
causal_mask: true,
kv_cache: "paged_fp8"
},
residual_connection: "parallel_safe",
feed_forward: {
type: "sparse_mixture_of_experts",
experts_total: 128,
experts_active: 8,
activation: "silu_gated",
router: "top_k_capacity_aware",
load_balance_monitor: true
},
numerical_guards: {
finite_check: true,
overflow_check: true,
accumulation_dtype: "fp32"
}
});
layer[23].execute({
block_group: 2,
pre_norm: "rms_norm",
attention: {
type: "grouped_query_flash_attention",
query_heads: 128,
key_value_heads: 16,
head_dimension: 128,
rotary_embedding: "long_context_scaled_rope",
causal_mask: true,
kv_cache: "paged_fp8"
},
residual_connection: "parallel_safe",
feed_forward: {
type: "sparse_mixture_of_experts",
experts_total: 128,
experts_active: 8,
activation: "silu_gated",
router: "top_k_capacity_aware",
load_balance_monitor: true
},
numerical_guards: {
finite_check: true,
overflow_check: true,
accumulation_dtype: "fp32"
}
});
layer[24].execute({
block_group: 3,
pre_norm: "rms_norm",
attention: {
type: "grouped_query_flash_attention",
query_heads: 128,
key_value_heads: 16,
head_dimension: 128,
rotary_embedding: "long_context_scaled_rope",
causal_mask: true,
kv_cache: "paged_fp8"
},
residual_connection: "parallel_safe",
feed_forward: {
type: "sparse_mixture_of_experts",
experts_total: 128,
experts_active: 8,
activation: "silu_gated",
router: "top_k_capacity_aware",
load_balance_monitor: true
},
numerical_guards: {
finite_check: true,
overflow_check: true,
accumulation_dtype: "fp32"
}
});
layer[25].execute({
block_group: 3,
pre_norm: "rms_norm",
attention: {
type: "grouped_query_flash_attention",
query_heads: 128,
key_value_heads: 16,
head_dimension: 128,
rotary_embedding: "long_context_scaled_rope",
causal_mask: true,
kv_cache: "paged_fp8"
},
residual_connection: "parallel_safe",
feed_forward: {
type: "sparse_mixture_of_experts",
experts_total: 128,
experts_active: 8,
activation: "silu_gated",
router: "top_k_capacity_aware",
load_balance_monitor: true
},
numerical_guards: {
finite_check: true,
overflow_check: true,
accumulation_dtype: "fp32"
}
});
layer[26].execute({
block_group: 3,
pre_norm: "rms_norm",
attention: {
type: "grouped_query_flash_attention",
query_heads: 128,
key_value_heads: 16,
head_dimension: 128,
rotary_embedding: "long_context_scaled_rope",
causal_mask: true,
kv_cache: "paged_fp8"
},
residual_connection: "parallel_safe",
feed_forward: {
type: "sparse_mixture_of_experts",
experts_total: 128,
experts_active: 8,
activation: "silu_gated",
router: "top_k_capacity_aware",
load_balance_monitor: true
},
numerical_guards: {
finite_check: true,
overflow_check: true,
accumulation_dtype: "fp32"
}
});
layer[27].execute({
block_group: 3,
pre_norm: "rms_norm",
attention: {
type: "grouped_query_flash_attention",
query_heads: 128,
key_value_heads: 16,
head_dimension: 128,
rotary_embedding: "long_context_scaled_rope",
causal_mask: true,
kv_cache: "paged_fp8"
},
residual_connection: "parallel_safe",
feed_forward: {
type: "sparse_mixture_of_experts",
experts_total: 128,
experts_active: 8,
activation: "silu_gated",
router: "top_k_capacity_aware",
load_balance_monitor: true
},
numerical_guards: {
finite_check: true,
overflow_check: true,
accumulation_dtype: "fp32"
}
});
layer[28].execute({
block_group: 3,
pre_norm: "rms_norm",
attention: {
type: "grouped_query_flash_attention",
query_heads: 128,
key_value_heads: 16,
head_dimension: 128,
rotary_embedding: "long_context_scaled_rope",
causal_mask: true,
kv_cache: "paged_fp8"
},
residual_connection: "parallel_safe",
feed_forward: {
type: "sparse_mixture_of_experts",
experts_total: 128,
experts_active: 8,
activation: "silu_gated",
router: "top_k_capacity_aware",
load_balance_monitor: true
},
numerical_guards: {
finite_check: true,
overflow_check: true,
accumulation_dtype: "fp32"
}
});
layer[29].execute({
block_group: 3,
pre_norm: "rms_norm",
attention: {
type: "grouped_query_flash_attention",
query_heads: 128,
key_value_heads: 16,
head_dimension: 128,
rotary_embedding: "long_context_scaled_rope",
causal_mask: true,
kv_cache: "paged_fp8"
},
residual_connection: "parallel_safe",
feed_forward: {
type: "sparse_mixture_of_experts",
experts_total: 128,
experts_active: 8,
activation: "silu_gated",
router: "top_k_capacity_aware",
load_balance_monitor: true
},
numerical_guards: {
finite_check: true,
overflow_check: true,
accumulation_dtype: "fp32"
}
});
layer[30].execute({
block_group: 3,
pre_norm: "rms_norm",
attention: {
type: "grouped_query_flash_attention",
query_heads: 128,
key_value_heads: 16,
head_dimension: 128,
rotary_embedding: "long_context_scaled_rope",
causal_mask: true,
kv_cache: "paged_fp8"
},
residual_connection: "parallel_safe",
feed_forward: {
type: "sparse_mixture_of_experts",
experts_total: 128,
experts_active: 8,
activation: "silu_gated",
router: "top_k_capacity_aware",
load_balance_monitor: true
},
numerical_guards: {
finite_check: true,
overflow_check: true,
accumulation_dtype: "fp32"
}
});
layer[31].execute({
block_group: 3,
pre_norm: "rms_norm",
attention: {
type: "grouped_query_flash_attention",
query_heads: 128,
key_value_heads: 16,
head_dimension: 128,
rotary_embedding: "long_context_scaled_rope",
causal_mask: true,
kv_cache: "paged_fp8"
},
residual_connection: "parallel_safe",
feed_forward: {
type: "sparse_mixture_of_experts",
experts_total: 128,
experts_active: 8,
activation: "silu_gated",
router: "top_k_capacity_aware",
load_balance_monitor: true
},
numerical_guards: {
finite_check: true,
overflow_check: true,
accumulation_dtype: "fp32"
}
});
layer[32].execute({
block_group: 4,
pre_norm: "rms_norm",
attention: {
type: "grouped_query_flash_attention",
query_heads: 128,
key_value_heads: 16,
head_dimension: 128,
rotary_embedding: "long_context_scaled_rope",
causal_mask: true,
kv_cache: "paged_fp8"
},
residual_connection: "parallel_safe",
feed_forward: {
type: "sparse_mixture_of_experts",
experts_total: 128,
experts_active: 8,
activation: "silu_gated",
router: "top_k_capacity_aware",
load_balance_monitor: true
},
numerical_guards: {
finite_check: true,
overflow_check: true,
accumulation_dtype: "fp32"
}
});
layer[33].execute({
block_group: 4,
pre_norm: "rms_norm",
attention: {
type: "grouped_query_flash_attention",
query_heads: 128,
key_value_heads: 16,
head_dimension: 128,
rotary_embedding: "long_context_scaled_rope",
causal_mask: true,
kv_cache: "paged_fp8"
},
residual_connection: "parallel_safe",
feed_forward: {
type: "sparse_mixture_of_experts",
experts_total: 128,
experts_active: 8,
activation: "silu_gated",
router: "top_k_capacity_aware",
load_balance_monitor: true
},
numerical_guards: {
finite_check: true,
overflow_check: true,
accumulation_dtype: "fp32"
}
});
layer[34].execute({
block_group: 4,
pre_norm: "rms_norm",
attention: {
type: "grouped_query_flash_attention",
query_heads: 128,
key_value_heads: 16,
head_dimension: 128,
rotary_embedding: "long_context_scaled_rope",
causal_mask: true,
kv_cache: "paged_fp8"
},
residual_connection: "parallel_safe",
feed_forward: {
type: "sparse_mixture_of_experts",
experts_total: 128,
experts_active: 8,
activation: "silu_gated",
router: "top_k_capacity_aware",
load_balance_monitor: true
},
numerical_guards: {
finite_check: true,
overflow_check: true,
accumulation_dtype: "fp32"
}
});
layer[35].execute({
block_group: 4,
pre_norm: "rms_norm",
attention: {
type: "grouped_query_flash_attention",
query_heads: 128,
key_value_heads: 16,
head_dimension: 128,
rotary_embedding: "long_context_scaled_rope",
causal_mask: true,
kv_cache: "paged_fp8"
},
residual_connection: "parallel_safe",
feed_forward: {
type: "sparse_mixture_of_experts",
experts_total: 128,
experts_active: 8,
activation: "silu_gated",
router: "top_k_capacity_aware",
load_balance_monitor: true
},
numerical_guards: {
finite_check: true,
overflow_check: true,
accumulation_dtype: "fp32"
}
});
layer[36].execute({
block_group: 4,
pre_norm: "rms_norm",
attention: {
type: "grouped_query_flash_attention",
query_heads: 128,
key_value_heads: 16,
head_dimension: 128,
rotary_embedding: "long_context_scaled_rope",
causal_mask: true,
kv_cache: "paged_fp8"
},
residual_connection: "parallel_safe",
feed_forward: {
type: "sparse_mixture_of_experts",
experts_total: 128,
experts_active: 8,
activation: "silu_gated",
router: "top_k_capacity_aware",
load_balance_monitor: true
},
numerical_guards: {
finite_check: true,
overflow_check: true,
accumulation_dtype: "fp32"
}
});
layer[37].execute({
block_group: 4,
pre_norm: "rms_norm",
attention: {
type: "grouped_query_flash_attention",
query_heads: 128,
key_value_heads: 16,
head_dimension: 128,
rotary_embedding: "long_context_scaled_rope",
causal_mask: true,
kv_cache: "paged_fp8"
},
residual_connection: "parallel_safe",
feed_forward: {
type: "sparse_mixture_of_experts",
experts_total: 128,
experts_active: 8,
activation: "silu_gated",
router: "top_k_capacity_aware",
load_balance_monitor: true
},
numerical_guards: {
finite_check: true,
overflow_check: true,
accumulation_dtype: "fp32"
}
});
layer[38].execute({
block_group: 4,
pre_norm: "rms_norm",
attention: {
type: "grouped_query_flash_attention",
query_heads: 128,
key_value_heads: 16,
head_dimension: 128,
rotary_embedding: "long_context_scaled_rope",
causal_mask: true,
kv_cache: "paged_fp8"
},
residual_connection: "parallel_safe",
feed_forward: {
type: "sparse_mixture_of_experts",
experts_total: 128,
experts_active: 8,
activation: "silu_gated",
router: "top_k_capacity_aware",
load_balance_monitor: true
},
numerical_guards: {
finite_check: true,
overflow_check: true,
accumulation_dtype: "fp32"
}
});
layer[39].execute({
block_group: 4,
pre_norm: "rms_norm",
attention: {
type: "grouped_query_flash_attention",
query_heads: 128,
key_value_heads: 16,
head_dimension: 128,
rotary_embedding: "long_context_scaled_rope",
causal_mask: true,
kv_cache: "paged_fp8"
},
residual_connection: "parallel_safe",
feed_forward: {
type: "sparse_mixture_of_experts",
experts_total: 128,
experts_active: 8,
activation: "silu_gated",
router: "top_k_capacity_aware",
load_balance_monitor: true
},
numerical_guards: {
finite_check: true,
overflow_check: true,
accumulation_dtype: "fp32"
}
});
layer[40].execute({
block_group: 5,
pre_norm: "rms_norm",
attention: {
type: "grouped_query_flash_attention",
query_heads: 128,
key_value_heads: 16,
head_dimension: 128,
rotary_embedding: "long_context_scaled_rope",
causal_mask: true,
kv_cache: "paged_fp8"
},
residual_connection: "parallel_safe",
feed_forward: {
type: "sparse_mixture_of_experts",
experts_total: 128,
experts_active: 8,
activation: "silu_gated",
router: "top_k_capacity_aware",
load_balance_monitor: true
},
numerical_guards: {
finite_check: true,
overflow_check: true,
accumulation_dtype: "fp32"
}
});
layer[41].execute({
block_group: 5,
pre_norm: "rms_norm",
attention: {
type: "grouped_query_flash_attention",
query_heads: 128,
key_value_heads: 16,
head_dimension: 128,
rotary_embedding: "long_context_scaled_rope",
causal_mask: true,
kv_cache: "paged_fp8"
},
residual_connection: "parallel_safe",
feed_forward: {
type: "sparse_mixture_of_experts",
experts_total: 128,
experts_active: 8,
activation: "silu_gated",
router: "top_k_capacity_aware",
load_balance_monitor: true
},
numerical_guards: {
finite_check: true,
overflow_check: true,
accumulation_dtype: "fp32"
}
});
layer[42].execute({
block_group: 5,
pre_norm: "rms_norm",
attention: {
type: "grouped_query_flash_attention",
query_heads: 128,
key_value_heads: 16,
head_dimension: 128,
rotary_embedding: "long_context_scaled_rope",
causal_mask: true,
kv_cache: "paged_fp8"
},
residual_connection: "parallel_safe",
feed_forward: {
type: "sparse_mixture_of_experts",
experts_total: 128,
experts_active: 8,
activation: "silu_gated",
router: "top_k_capacity_aware",
load_balance_monitor: true
},
numerical_guards: {
finite_check: true,
overflow_check: true,
accumulation_dtype: "fp32"
}
});
layer[43].execute({
block_group: 5,
pre_norm: "rms_norm",
attention: {
type: "grouped_query_flash_attention",
query_heads: 128,
key_value_heads: 16,
head_dimension: 128,
rotary_embedding: "long_context_scaled_rope",
causal_mask: true,
kv_cache: "paged_fp8"
},
residual_connection: "parallel_safe",
feed_forward: {
type: "sparse_mixture_of_experts",
experts_total: 128,
experts_active: 8,
activation: "silu_gated",
router: "top_k_capacity_aware",
load_balance_monitor: true
},
numerical_guards: {
finite_check: true,
overflow_check: true,
accumulation_dtype: "fp32"
}
});
layer[44].execute({
block_group: 5,
pre_norm: "rms_norm",
attention: {
type: "grouped_query_flash_attention",
query_heads: 128,
key_value_heads: 16,
head_dimension: 128,
rotary_embedding: "long_context_scaled_rope",
causal_mask: true,
kv_cache: "paged_fp8"
},
residual_connection: "parallel_safe",
feed_forward: {
type: "sparse_mixture_of_experts",
experts_total: 128,
experts_active: 8,
activation: "silu_gated",
router: "top_k_capacity_aware",
load_balance_monitor: true
},
numerical_guards: {
finite_check: true,
overflow_check: true,
accumulation_dtype: "fp32"
}
});
layer[45].execute({
block_group: 5,
pre_norm: "rms_norm",
attention: {
type: "grouped_query_flash_attention",
query_heads: 128,
key_value_heads: 16,
head_dimension: 128,
rotary_embedding: "long_context_scaled_rope",
causal_mask: true,
kv_cache: "paged_fp8"
},
residual_connection: "parallel_safe",
feed_forward: {
type: "sparse_mixture_of_experts",
experts_total: 128,
experts_active: 8,
activation: "silu_gated",
router: "top_k_capacity_aware",
load_balance_monitor: true
},
numerical_guards: {
finite_check: true,
overflow_check: true,
accumulation_dtype: "fp32"
}
});
layer[46].execute({
block_group: 5,
pre_norm: "rms_norm",
attention: {
type: "grouped_query_flash_attention",
query_heads: 128,
key_value_heads: 16,
head_dimension: 128,
rotary_embedding: "long_context_scaled_rope",
causal_mask: true,
kv_cache: "paged_fp8"
},
residual_connection: "parallel_safe",
feed_forward: {
type: "sparse_mixture_of_experts",
experts_total: 128,
experts_active: 8,
activation: "silu_gated",
router: "top_k_capacity_aware",
load_balance_monitor: true
},
numerical_guards: {
finite_check: true,
overflow_check: true,
accumulation_dtype: "fp32"
}
});
layer[47].execute({
block_group: 5,
pre_norm: "rms_norm",
attention: {
type: "grouped_query_flash_attention",
query_heads: 128,
key_value_heads: 16,
head_dimension: 128,
rotary_embedding: "long_context_scaled_rope",
causal_mask: true,
kv_cache: "paged_fp8"
},
residual_connection: "parallel_safe",
feed_forward: {
type: "sparse_mixture_of_experts",
experts_total: 128,
experts_active: 8,
activation: "silu_gated",
router: "top_k_capacity_aware",
load_balance_monitor: true
},
numerical_guards: {
finite_check: true,
overflow_check: true,
accumulation_dtype: "fp32"
}
});
layer[48].execute({
block_group: 6,
pre_norm: "rms_norm",
attention: {
type: "grouped_query_flash_attention",
query_heads: 128,
key_value_heads: 16,
head_dimension: 128,
rotary_embedding: "long_context_scaled_rope",
causal_mask: true,
kv_cache: "paged_fp8"
},
residual_connection: "parallel_safe",
feed_forward: {
type: "sparse_mixture_of_experts",
experts_total: 128,
experts_active: 8,
activation: "silu_gated",
router: "top_k_capacity_aware",
load_balance_monitor: true
},
numerical_guards: {
finite_check: true,
overflow_check: true,
accumulation_dtype: "fp32"
}
});
layer[49].execute({
block_group: 6,
pre_norm: "rms_norm",
attention: {
type: "grouped_query_flash_attention",
query_heads: 128,
key_value_heads: 16,
head_dimension: 128,
rotary_embedding: "long_context_scaled_rope",
causal_mask: true,
kv_cache: "paged_fp8"
},
residual_connection: "parallel_safe",
feed_forward: {
type: "sparse_mixture_of_experts",
experts_total: 128,
experts_active: 8,
activation: "silu_gated",
router: "top_k_capacity_aware",
load_balance_monitor: true
},
numerical_guards: {
finite_check: true,
overflow_check: true,
accumulation_dtype: "fp32"
}
});
layer[50].execute({
block_group: 6,
pre_norm: "rms_norm",
attention: {
type: "grouped_query_flash_attention",
query_heads: 128,
key_value_heads: 16,
head_dimension: 128,
rotary_embedding: "long_context_scaled_rope",
causal_mask: true,
kv_cache: "paged_fp8"
},
residual_connection: "parallel_safe",
feed_forward: {
type: "sparse_mixture_of_experts",
experts_total: 128,
experts_active: 8,
activation: "silu_gated",
router: "top_k_capacity_aware",
load_balance_monitor: true
},
numerical_guards: {
finite_check: true,
overflow_check: true,
accumulation_dtype: "fp32"
}
});
layer[51].execute({
block_group: 6,
pre_norm: "rms_norm",
attention: {
type: "grouped_query_flash_attention",
query_heads: 128,
key_value_heads: 16,
head_dimension: 128,
rotary_embedding: "long_context_scaled_rope",
causal_mask: true,
kv_cache: "paged_fp8"
},
residual_connection: "parallel_safe",
feed_forward: {
type: "sparse_mixture_of_experts",
experts_total: 128,
experts_active: 8,
activation: "silu_gated",
router: "top_k_capacity_aware",
load_balance_monitor: true
},
numerical_guards: {
finite_check: true,
overflow_check: true,
accumulation_dtype: "fp32"
}
});
layer[52].execute({
block_group: 6,
pre_norm: "rms_norm",
attention: {
type: "grouped_query_flash_attention",
query_heads: 128,
key_value_heads: 16,
head_dimension: 128,
rotary_embedding: "long_context_scaled_rope",
causal_mask: true,
kv_cache: "paged_fp8"
},
residual_connection: "parallel_safe",
feed_forward: {
type: "sparse_mixture_of_experts",
experts_total: 128,
experts_active: 8,
activation: "silu_gated",
router: "top_k_capacity_aware",
load_balance_monitor: true
},
numerical_guards: {
finite_check: true,
overflow_check: true,
accumulation_dtype: "fp32"
}
});
layer[53].execute({
block_group: 6,
pre_norm: "rms_norm",
attention: {
type: "grouped_query_flash_attention",
query_heads: 128,
key_value_heads: 16,
head_dimension: 128,
rotary_embedding: "long_context_scaled_rope",
causal_mask: true,
kv_cache: "paged_fp8"
},
residual_connection: "parallel_safe",
feed_forward: {
type: "sparse_mixture_of_experts",
experts_total: 128,
experts_active: 8,
activation: "silu_gated",
router: "top_k_capacity_aware",
load_balance_monitor: true
},
numerical_guards: {
finite_check: true,
overflow_check: true,
accumulation_dtype: "fp32"
}
});
layer[54].execute({
block_group: 6,
pre_norm: "rms_norm",
attention: {
type: "grouped_query_flash_attention",
query_heads: 128,
key_value_heads: 16,
head_dimension: 128,
rotary_embedding: "long_context_scaled_rope",
causal_mask: true,
kv_cache: "paged_fp8"
},
residual_connection: "parallel_safe",
feed_forward: {
type: "sparse_mixture_of_experts",
experts_total: 128,
experts_active: 8,
activation: "silu_gated",
router: "top_k_capacity_aware",
load_balance_monitor: true
},
numerical_guards: {
finite_check: true,
overflow_check: true,
accumulation_dtype: "fp32"
}
});
layer[55].execute({
block_group: 6,
pre_norm: "rms_norm",
attention: {
type: "grouped_query_flash_attention",
query_heads: 128,
key_value_heads: 16,
head_dimension: 128,
rotary_embedding: "long_context_scaled_rope",
causal_mask: true,
kv_cache: "paged_fp8"
},
residual_connection: "parallel_safe",
feed_forward: {
type: "sparse_mixture_of_experts",
experts_total: 128,
experts_active: 8,
activation: "silu_gated",
router: "top_k_capacity_aware",
load_balance_monitor: true
},
numerical_guards: {
finite_check: true,
overflow_check: true,
accumulation_dtype: "fp32"
}
});
layer[56].execute({
block_group: 7,
pre_norm: "rms_norm",
attention: {
type: "grouped_query_flash_attention",
query_heads: 128,
key_value_heads: 16,
head_dimension: 128,
rotary_embedding: "long_context_scaled_rope",
causal_mask: true,
kv_cache: "paged_fp8"
},
residual_connection: "parallel_safe",
feed_forward: {
type: "sparse_mixture_of_experts",
experts_total: 128,
experts_active: 8,
activation: "silu_gated",
router: "top_k_capacity_aware",
load_balance_monitor: true
},
numerical_guards: {
finite_check: true,
overflow_check: true,
accumulation_dtype: "fp32"
}
});
layer[57].execute({
block_group: 7,
pre_norm: "rms_norm",
attention: {
type: "grouped_query_flash_attention",
query_heads: 128,
key_value_heads: 16,
head_dimension: 128,
rotary_embedding: "long_context_scaled_rope",
causal_mask: true,
kv_cache: "paged_fp8"
},
residual_connection: "parallel_safe",
feed_forward: {
type: "sparse_mixture_of_experts",
experts_total: 128,
experts_active: 8,
activation: "silu_gated",
router: "top_k_capacity_aware",
load_balance_monitor: true
},
numerical_guards: {
finite_check: true,
overflow_check: true,
accumulation_dtype: "fp32"
}
});
layer[58].execute({
block_group: 7,
pre_norm: "rms_norm",
attention: {
type: "grouped_query_flash_attention",
query_heads: 128,
key_value_heads: 16,
head_dimension: 128,
rotary_embedding: "long_context_scaled_rope",
causal_mask: true,
kv_cache: "paged_fp8"
},
residual_connection: "parallel_safe",
feed_forward: {
type: "sparse_mixture_of_experts",
experts_total: 128,
experts_active: 8,
activation: "silu_gated",
router: "top_k_capacity_aware",
load_balance_monitor: true
},
numerical_guards: {
finite_check: true,
overflow_check: true,
accumulation_dtype: "fp32"
}
});
layer[59].execute({
block_group: 7,
pre_norm: "rms_norm",
attention: {
type: "grouped_query_flash_attention",
query_heads: 128,
key_value_heads: 16,
head_dimension: 128,
rotary_embedding: "long_context_scaled_rope",
causal_mask: true,
kv_cache: "paged_fp8"
},
residual_connection: "parallel_safe",
feed_forward: {
type: "sparse_mixture_of_experts",
experts_total: 128,
experts_active: 8,
activation: "silu_gated",
router: "top_k_capacity_aware",
load_balance_monitor: true
},
numerical_guards: {
finite_check: true,
overflow_check: true,
accumulation_dtype: "fp32"
}
});
layer[60].execute({
block_group: 7,
pre_norm: "rms_norm",
attention: {
type: "grouped_query_flash_attention",
query_heads: 128,
key_value_heads: 16,
head_dimension: 128,
rotary_embedding: "long_context_scaled_rope",
causal_mask: true,
kv_cache: "paged_fp8"
},
residual_connection: "parallel_safe",
feed_forward: {
type: "sparse_mixture_of_experts",
experts_total: 128,
experts_active: 8,
activation: "silu_gated",
router: "top_k_capacity_aware",
load_balance_monitor: true
},
numerical_guards: {
finite_check: true,
overflow_check: true,
accumulation_dtype: "fp32"
}
});
layer[61].execute({
block_group: 7,
pre_norm: "rms_norm",
attention: {
type: "grouped_query_flash_attention",
query_heads: 128,
key_value_heads: 16,
head_dimension: 128,
rotary_embedding: "long_context_scaled_rope",
causal_mask: true,
kv_cache: "paged_fp8"
},
residual_connection: "parallel_safe",
feed_forward: {
type: "sparse_mixture_of_experts",
experts_total: 128,
experts_active: 8,
activation: "silu_gated",
router: "top_k_capacity_aware",
load_balance_monitor: true
},
numerical_guards: {
finite_check: true,
overflow_check: true,
accumulation_dtype: "fp32"
}
});
layer[62].execute({
block_group: 7,
pre_norm: "rms_norm",
attention: {
type: "grouped_query_flash_attention",
query_heads: 128,
key_value_heads: 16,
head_dimension: 128,
rotary_embedding: "long_context_scaled_rope",
causal_mask: true,
kv_cache: "paged_fp8"
},
residual_connection: "parallel_safe",
feed_forward: {
type: "sparse_mixture_of_experts",
experts_total: 128,
experts_active: 8,
activation: "silu_gated",
router: "top_k_capacity_aware",
load_balance_monitor: true
},
numerical_guards: {
finite_check: true,
overflow_check: true,
accumulation_dtype: "fp32"
}
});
layer[63].execute({
block_group: 7,
pre_norm: "rms_norm",
attention: {
type: "grouped_query_flash_attention",
query_heads: 128,
key_value_heads: 16,
head_dimension: 128,
rotary_embedding: "long_context_scaled_rope",
causal_mask: true,
kv_cache: "paged_fp8"
},
residual_connection: "parallel_safe",
feed_forward: {
type: "sparse_mixture_of_experts",
experts_total: 128,
experts_active: 8,
activation: "silu_gated",
router: "top_k_capacity_aware",
load_balance_monitor: true
},
numerical_guards: {
finite_check: true,
overflow_check: true,
accumulation_dtype: "fp32"
}
});
layer[64].execute({
block_group: 8,
pre_norm: "rms_norm",
attention: {
type: "grouped_query_flash_attention",
query_heads: 128,
key_value_heads: 16,
head_dimension: 128,
rotary_embedding: "long_context_scaled_rope",
causal_mask: true,
kv_cache: "paged_fp8"
},
residual_connection: "parallel_safe",
feed_forward: {
type: "sparse_mixture_of_experts",
experts_total: 128,
experts_active: 8,
activation: "silu_gated",
router: "top_k_capacity_aware",
load_balance_monitor: true
},
numerical_guards: {
finite_check: true,
overflow_check: true,
accumulation_dtype: "fp32"
}
});
layer[65].execute({
block_group: 8,
pre_norm: "rms_norm",
attention: {
type: "grouped_query_flash_attention",
query_heads: 128,
key_value_heads: 16,
head_dimension: 128,
rotary_embedding: "long_context_scaled_rope",
causal_mask: true,
kv_cache: "paged_fp8"
},
residual_connection: "parallel_safe",
feed_forward: {
type: "sparse_mixture_of_experts",
experts_total: 128,
experts_active: 8,
activation: "silu_gated",
router: "top_k_capacity_aware",
load_balance_monitor: true
},
numerical_guards: {
finite_check: true,
overflow_check: true,
accumulation_dtype: "fp32"
}
});
layer[66].execute({
block_group: 8,
pre_norm: "rms_norm",
attention: {
type: "grouped_query_flash_attention",
query_heads: 128,
key_value_heads: 16,
head_dimension: 128,
rotary_embedding: "long_context_scaled_rope",
causal_mask: true,
kv_cache: "paged_fp8"
},
residual_connection: "parallel_safe",
feed_forward: {
type: "sparse_mixture_of_experts",
experts_total: 128,
experts_active: 8,
activation: "silu_gated",
router: "top_k_capacity_aware",
load_balance_monitor: true
},
numerical_guards: {
finite_check: true,
overflow_check: true,
accumulation_dtype: "fp32"
}
});
layer[67].execute({
block_group: 8,
pre_norm: "rms_norm",
attention: {
type: "grouped_query_flash_attention",
query_heads: 128,
key_value_heads: 16,
head_dimension: 128,
rotary_embedding: "long_context_scaled_rope",
causal_mask: true,
kv_cache: "paged_fp8"
},
residual_connection: "parallel_safe",
feed_forward: {
type: "sparse_mixture_of_experts",
experts_total: 128,
experts_active: 8,
activation: "silu_gated",
router: "top_k_capacity_aware",
load_balance_monitor: true
},
numerical_guards: {
finite_check: true,
overflow_check: true,
accumulation_dtype: "fp32"
}
});
layer[68].execute({
block_group: 8,
pre_norm: "rms_norm",
attention: {
type: "grouped_query_flash_attention",
query_heads: 128,
key_value_heads: 16,
head_dimension: 128,
rotary_embedding: "long_context_scaled_rope",
causal_mask: true,
kv_cache: "paged_fp8"
},
residual_connection: "parallel_safe",
feed_forward: {
type: "sparse_mixture_of_experts",
experts_total: 128,
experts_active: 8,
activation: "silu_gated",
router: "top_k_capacity_aware",
load_balance_monitor: true
},
numerical_guards: {
finite_check: true,
overflow_check: true,
accumulation_dtype: "fp32"
}
});
layer[69].execute({
block_group: 8,
pre_norm: "rms_norm",
attention: {
type: "grouped_query_flash_attention",
query_heads: 128,
key_value_heads: 16,
head_dimension: 128,
rotary_embedding: "long_context_scaled_rope",
causal_mask: true,
kv_cache: "paged_fp8"
},
residual_connection: "parallel_safe",
feed_forward: {
type: "sparse_mixture_of_experts",
experts_total: 128,
experts_active: 8,
activation: "silu_gated",
router: "top_k_capacity_aware",
load_balance_monitor: true
},
numerical_guards: {
finite_check: true,
overflow_check: true,
accumulation_dtype: "fp32"
}
});
layer[70].execute({
block_group: 8,
pre_norm: "rms_norm",
attention: {
type: "grouped_query_flash_attention",
query_heads: 128,
key_value_heads: 16,
head_dimension: 128,
rotary_embedding: "long_context_scaled_rope",
causal_mask: true,
kv_cache: "paged_fp8"
},
residual_connection: "parallel_safe",
feed_forward: {
type: "sparse_mixture_of_experts",
experts_total: 128,
experts_active: 8,
activation: "silu_gated",
router: "top_k_capacity_aware",
load_balance_monitor: true
},
numerical_guards: {
finite_check: true,
overflow_check: true,
accumulation_dtype: "fp32"
}
});
layer[71].execute({
block_group: 8,
pre_norm: "rms_norm",
attention: {
type: "grouped_query_flash_attention",
query_heads: 128,
key_value_heads: 16,
head_dimension: 128,
rotary_embedding: "long_context_scaled_rope",
causal_mask: true,
kv_cache: "paged_fp8"
},
residual_connection: "parallel_safe",
feed_forward: {
type: "sparse_mixture_of_experts",
experts_total: 128,
experts_active: 8,
activation: "silu_gated",
router: "top_k_capacity_aware",
load_balance_monitor: true
},
numerical_guards: {
finite_check: true,
overflow_check: true,
accumulation_dtype: "fp32"
}
});
layer[72].execute({
block_group: 9,
pre_norm: "rms_norm",
attention: {
type: "grouped_query_flash_attention",
query_heads: 128,
key_value_heads: 16,
head_dimension: 128,
rotary_embedding: "long_context_scaled_rope",
causal_mask: true,
kv_cache: "paged_fp8"
},
residual_connection: "parallel_safe",
feed_forward: {
type: "sparse_mixture_of_experts",
experts_total: 128,
experts_active: 8,
activation: "silu_gated",
router: "top_k_capacity_aware",
load_balance_monitor: true
},
numerical_guards: {
finite_check: true,
overflow_check: true,
accumulation_dtype: "fp32"
}
});
layer[73].execute({
block_group: 9,
pre_norm: "rms_norm",
attention: {
type: "grouped_query_flash_attention",
query_heads: 128,
key_value_heads: 16,
head_dimension: 128,
rotary_embedding: "long_context_scaled_rope",
causal_mask: true,
kv_cache: "paged_fp8"
},
residual_connection: "parallel_safe",
feed_forward: {
type: "sparse_mixture_of_experts",
experts_total: 128,
experts_active: 8,
activation: "silu_gated",
router: "top_k_capacity_aware",
load_balance_monitor: true
},
numerical_guards: {
finite_check: true,
overflow_check: true,
accumulation_dtype: "fp32"
}
});
layer[74].execute({
block_group: 9,
pre_norm: "rms_norm",
attention: {
type: "grouped_query_flash_attention",
query_heads: 128,
key_value_heads: 16,
head_dimension: 128,
rotary_embedding: "long_context_scaled_rope",
causal_mask: true,
kv_cache: "paged_fp8"
},
residual_connection: "parallel_safe",
feed_forward: {
type: "sparse_mixture_of_experts",
experts_total: 128,
experts_active: 8,
activation: "silu_gated",
router: "top_k_capacity_aware",
load_balance_monitor: true
},
numerical_guards: {
finite_check: true,
overflow_check: true,
accumulation_dtype: "fp32"
}
});
layer[75].execute({
block_group: 9,
pre_norm: "rms_norm",
attention: {
type: "grouped_query_flash_attention",
query_heads: 128,
key_value_heads: 16,
head_dimension: 128,
rotary_embedding: "long_context_scaled_rope",
causal_mask: true,
kv_cache: "paged_fp8"
},
residual_connection: "parallel_safe",
feed_forward: {
type: "sparse_mixture_of_experts",
experts_total: 128,
experts_active: 8,
activation: "silu_gated",
router: "top_k_capacity_aware",
load_balance_monitor: true
},
numerical_guards: {
finite_check: true,
overflow_check: true,
accumulation_dtype: "fp32"
}
});
layer[76].execute({
block_group: 9,
pre_norm: "rms_norm",
attention: {
type: "grouped_query_flash_attention",
query_heads: 128,
key_value_heads: 16,
head_dimension: 128,
rotary_embedding: "long_context_scaled_rope",
causal_mask: true,
kv_cache: "paged_fp8"
},
residual_connection: "parallel_safe",
feed_forward: {
type: "sparse_mixture_of_experts",
experts_total: 128,
experts_active: 8,
activation: "silu_gated",
router: "top_k_capacity_aware",
load_balance_monitor: true
},
numerical_guards: {
finite_check: true,
overflow_check: true,
accumulation_dtype: "fp32"
}
});
layer[77].execute({
block_group: 9,
pre_norm: "rms_norm",
attention: {
type: "grouped_query_flash_attention",
query_heads: 128,
key_value_heads: 16,
head_dimension: 128,
rotary_embedding: "long_context_scaled_rope",
causal_mask: true,
kv_cache: "paged_fp8"
},
residual_connection: "parallel_safe",
feed_forward: {
type: "sparse_mixture_of_experts",
experts_total: 128,
experts_active: 8,
activation: "silu_gated",
router: "top_k_capacity_aware",
load_balance_monitor: true
},
numerical_guards: {
finite_check: true,
overflow_check: true,
accumulation_dtype: "fp32"
}
});
layer[78].execute({
block_group: 9,
pre_norm: "rms_norm",
attention: {
type: "grouped_query_flash_attention",
query_heads: 128,
key_value_heads: 16,
head_dimension: 128,
rotary_embedding: "long_context_scaled_rope",
causal_mask: true,
kv_cache: "paged_fp8"
},
residual_connection: "parallel_safe",
feed_forward: {
type: "sparse_mixture_of_experts",
experts_total: 128,
experts_active: 8,
activation: "silu_gated",
router: "top_k_capacity_aware",
load_balance_monitor: true
},
numerical_guards: {
finite_check: true,
overflow_check: true,
accumulation_dtype: "fp32"
}
});
layer[79].execute({
block_group: 9,
pre_norm: "rms_norm",
attention: {
type: "grouped_query_flash_attention",
query_heads: 128,
key_value_heads: 16,
head_dimension: 128,
rotary_embedding: "long_context_scaled_rope",
causal_mask: true,
kv_cache: "paged_fp8"
},
residual_connection: "parallel_safe",
feed_forward: {
type: "sparse_mixture_of_experts",
experts_total: 128,
experts_active: 8,
activation: "silu_gated",
router: "top_k_capacity_aware",
load_balance_monitor: true
},
numerical_guards: {
finite_check: true,
overflow_check: true,
accumulation_dtype: "fp32"
}
});
layer[80].execute({
block_group: 10,
pre_norm: "rms_norm",
attention: {
type: "grouped_query_flash_attention",
query_heads: 128,
key_value_heads: 16,
head_dimension: 128,
rotary_embedding: "long_context_scaled_rope",
causal_mask: true,
kv_cache: "paged_fp8"
},
residual_connection: "parallel_safe",
feed_forward: {
type: "sparse_mixture_of_experts",
experts_total: 128,
experts_active: 8,
activation: "silu_gated",
router: "top_k_capacity_aware",
load_balance_monitor: true
},
numerical_guards: {
finite_check: true,
overflow_check: true,
accumulation_dtype: "fp32"
}
});
layer[81].execute({
block_group: 10,
pre_norm: "rms_norm",
attention: {
type: "grouped_query_flash_attention",
query_heads: 128,
key_value_heads: 16,
head_dimension: 128,
rotary_embedding: "long_context_scaled_rope",
causal_mask: true,
kv_cache: "paged_fp8"
},
residual_connection: "parallel_safe",
feed_forward: {
type: "sparse_mixture_of_experts",
experts_total: 128,
experts_active: 8,
activation: "silu_gated",
router: "top_k_capacity_aware",
load_balance_monitor: true
},
numerical_guards: {
finite_check: true,
overflow_check: true,
accumulation_dtype: "fp32"
}
});
layer[82].execute({
block_group: 10,
pre_norm: "rms_norm",
attention: {
type: "grouped_query_flash_attention",
query_heads: 128,
key_value_heads: 16,
head_dimension: 128,
rotary_embedding: "long_context_scaled_rope",
causal_mask: true,
kv_cache: "paged_fp8"
},
residual_connection: "parallel_safe",
feed_forward: {
type: "sparse_mixture_of_experts",
experts_total: 128,
experts_active: 8,
activation: "silu_gated",
router: "top_k_capacity_aware",
load_balance_monitor: true
},
numerical_guards: {
finite_check: true,
overflow_check: true,
accumulation_dtype: "fp32"
}
});
layer[83].execute({
block_group: 10,
pre_norm: "rms_norm",
attention: {
type: "grouped_query_flash_attention",
query_heads: 128,
key_value_heads: 16,
head_dimension: 128,
rotary_embedding: "long_context_scaled_rope",
causal_mask: true,
kv_cache: "paged_fp8"
},
residual_connection: "parallel_safe",
feed_forward: {
type: "sparse_mixture_of_experts",
experts_total: 128,
experts_active: 8,
activation: "silu_gated",
router: "top_k_capacity_aware",
load_balance_monitor: true
},
numerical_guards: {
finite_check: true,
overflow_check: true,
accumulation_dtype: "fp32"
}
});
layer[84].execute({
block_group: 10,
pre_norm: "rms_norm",
attention: {
type: "grouped_query_flash_attention",
query_heads: 128,
key_value_heads: 16,
head_dimension: 128,
rotary_embedding: "long_context_scaled_rope",
causal_mask: true,
kv_cache: "paged_fp8"
},
residual_connection: "parallel_safe",
feed_forward: {
type: "sparse_mixture_of_experts",
experts_total: 128,
experts_active: 8,
activation: "silu_gated",
router: "top_k_capacity_aware",
load_balance_monitor: true
},
numerical_guards: {
finite_check: true,
overflow_check: true,
accumulation_dtype: "fp32"
}
});
layer[85].execute({
block_group: 10,
pre_norm: "rms_norm",
attention: {
type: "grouped_query_flash_attention",
query_heads: 128,
key_value_heads: 16,
head_dimension: 128,
rotary_embedding: "long_context_scaled_rope",
causal_mask: true,
kv_cache: "paged_fp8"
},
residual_connection: "parallel_safe",
feed_forward: {
type: "sparse_mixture_of_experts",
experts_total: 128,
experts_active: 8,
activation: "silu_gated",
router: "top_k_capacity_aware",
load_balance_monitor: true
},
numerical_guards: {
finite_check: true,
overflow_check: true,
accumulation_dtype: "fp32"
}
});
layer[86].execute({
block_group: 10,
pre_norm: "rms_norm",
attention: {
type: "grouped_query_flash_attention",
query_heads: 128,
key_value_heads: 16,
head_dimension: 128,
rotary_embedding: "long_context_scaled_rope",
causal_mask: true,
kv_cache: "paged_fp8"
},
residual_connection: "parallel_safe",
feed_forward: {
type: "sparse_mixture_of_experts",
experts_total: 128,
experts_active: 8,
activation: "silu_gated",
router: "top_k_capacity_aware",
load_balance_monitor: true
},
numerical_guards: {
finite_check: true,
overflow_check: true,
accumulation_dtype: "fp32"
}
});
layer[87].execute({
block_group: 10,
pre_norm: "rms_norm",
attention: {
type: "grouped_query_flash_attention",
query_heads: 128,
key_value_heads: 16,
head_dimension: 128,
rotary_embedding: "long_context_scaled_rope",
causal_mask: true,
kv_cache: "paged_fp8"
},
residual_connection: "parallel_safe",
feed_forward: {
type: "sparse_mixture_of_experts",
experts_total: 128,
experts_active: 8,
activation: "silu_gated",
router: "top_k_capacity_aware",
load_balance_monitor: true
},
numerical_guards: {
finite_check: true,
overflow_check: true,
accumulation_dtype: "fp32"
}
});
layer[88].execute({
block_group: 11,
pre_norm: "rms_norm",
attention: {
type: "grouped_query_flash_attention",
query_heads: 128,
key_value_heads: 16,
head_dimension: 128,
rotary_embedding: "long_context_scaled_rope",
causal_mask: true,
kv_cache: "paged_fp8"
},
residual_connection: "parallel_safe",
feed_forward: {
type: "sparse_mixture_of_experts",
experts_total: 128,
experts_active: 8,
activation: "silu_gated",
router: "top_k_capacity_aware",
load_balance_monitor: true
},
numerical_guards: {
finite_check: true,
overflow_check: true,
accumulation_dtype: "fp32"
}
});
layer[89].execute({
block_group: 11,
pre_norm: "rms_norm",
attention: {
type: "grouped_query_flash_attention",
query_heads: 128,
key_value_heads: 16,
head_dimension: 128,
rotary_embedding: "long_context_scaled_rope",
causal_mask: true,
kv_cache: "paged_fp8"
},
residual_connection: "parallel_safe",
feed_forward: {
type: "sparse_mixture_of_experts",
experts_total: 128,
experts_active: 8,
activation: "silu_gated",
router: "top_k_capacity_aware",
load_balance_monitor: true
},
numerical_guards: {
finite_check: true,
overflow_check: true,
accumulation_dtype: "fp32"
}
});
layer[90].execute({
block_group: 11,
pre_norm: "rms_norm",
attention: {
type: "grouped_query_flash_attention",
query_heads: 128,
key_value_heads: 16,
head_dimension: 128,
rotary_embedding: "long_context_scaled_rope",
causal_mask: true,
kv_cache: "paged_fp8"
},
residual_connection: "parallel_safe",
feed_forward: {
type: "sparse_mixture_of_experts",
experts_total: 128,
experts_active: 8,
activation: "silu_gated",
router: "top_k_capacity_aware",
load_balance_monitor: true
},
numerical_guards: {
finite_check: true,
overflow_check: true,
accumulation_dtype: "fp32"
}
});
layer[91].execute({
block_group: 11,
pre_norm: "rms_norm",
attention: {
type: "grouped_query_flash_attention",
query_heads: 128,
key_value_heads: 16,
head_dimension: 128,
rotary_embedding: "long_context_scaled_rope",
causal_mask: true,
kv_cache: "paged_fp8"
},
residual_connection: "parallel_safe",
feed_forward: {
type: "sparse_mixture_of_experts",
experts_total: 128,
experts_active: 8,
activation: "silu_gated",
router: "top_k_capacity_aware",
load_balance_monitor: true
},
numerical_guards: {
finite_check: true,
overflow_check: true,
accumulation_dtype: "fp32"
}
});
layer[92].execute({
block_group: 11,
pre_norm: "rms_norm",
attention: {
type: "grouped_query_flash_attention",
query_heads: 128,
key_value_heads: 16,
head_dimension: 128,
rotary_embedding: "long_context_scaled_rope",
causal_mask: true,
kv_cache: "paged_fp8"
},
residual_connection: "parallel_safe",
feed_forward: {
type: "sparse_mixture_of_experts",
experts_total: 128,
experts_active: 8,
activation: "silu_gated",
router: "top_k_capacity_aware",
load_balance_monitor: true
},
numerical_guards: {
finite_check: true,
overflow_check: true,
accumulation_dtype: "fp32"
}
});
layer[93].execute({
block_group: 11,
pre_norm: "rms_norm",
attention: {
type: "grouped_query_flash_attention",
query_heads: 128,
key_value_heads: 16,
head_dimension: 128,
rotary_embedding: "long_context_scaled_rope",
causal_mask: true,
kv_cache: "paged_fp8"
},
residual_connection: "parallel_safe",
feed_forward: {
type: "sparse_mixture_of_experts",
experts_total: 128,
experts_active: 8,
activation: "silu_gated",
router: "top_k_capacity_aware",
load_balance_monitor: true
},
numerical_guards: {
finite_check: true,
overflow_check: true,
accumulation_dtype: "fp32"
}
});
layer[94].execute({
block_group: 11,
pre_norm: "rms_norm",
attention: {
type: "grouped_query_flash_attention",
query_heads: 128,
key_value_heads: 16,
head_dimension: 128,
rotary_embedding: "long_context_scaled_rope",
causal_mask: true,
kv_cache: "paged_fp8"
},
residual_connection: "parallel_safe",
feed_forward: {
type: "sparse_mixture_of_experts",
experts_total: 128,
experts_active: 8,
activation: "silu_gated",
router: "top_k_capacity_aware",
load_balance_monitor: true
},
numerical_guards: {
finite_check: true,
overflow_check: true,
accumulation_dtype: "fp32"
}
});
layer[95].execute({
block_group: 11,
pre_norm: "rms_norm",
attention: {
type: "grouped_query_flash_attention",
query_heads: 128,
key_value_heads: 16,
head_dimension: 128,
rotary_embedding: "long_context_scaled_rope",
causal_mask: true,
kv_cache: "paged_fp8"
},
residual_connection: "parallel_safe",
feed_forward: {
type: "sparse_mixture_of_experts",
experts_total: 128,
experts_active: 8,
activation: "silu_gated",
router: "top_k_capacity_aware",
load_balance_monitor: true
},
numerical_guards: {
finite_check: true,
overflow_check: true,
accumulation_dtype: "fp32"
}
});
/* ============================================================================================ */
/* OPERATION REGISTRY / SHARED CAPABILITIES
/* ============================================================================================ */
operation.register({
id: "op_0001_source_discover",
namespace: "source",
action: "discover",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0002_source_authorize",
namespace: "source",
action: "authorize",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0003_source_fetch",
namespace: "source",
action: "fetch",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0004_source_snapshot",
namespace: "source",
action: "snapshot",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0005_source_fingerprint",
namespace: "source",
action: "fingerprint",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0006_source_canonicalize_uri",
namespace: "source",
action: "canonicalize_uri",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0007_source_detect_mime",
namespace: "source",
action: "detect_mime",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0008_source_decode",
namespace: "source",
action: "decode",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0009_source_validate_integrity",
namespace: "source",
action: "validate_integrity",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0010_source_score_authority",
namespace: "source",
action: "score_authority",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0011_source_score_freshness",
namespace: "source",
action: "score_freshness",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0012_source_score_completeness",
namespace: "source",
action: "score_completeness",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0013_source_deduplicate",
namespace: "source",
action: "deduplicate",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0014_source_cluster_versions",
namespace: "source",
action: "cluster_versions",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0015_source_resolve_publisher",
namespace: "source",
action: "resolve_publisher",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0016_source_resolve_jurisdiction",
namespace: "source",
action: "resolve_jurisdiction",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0017_source_resolve_publication_date",
namespace: "source",
action: "resolve_publication_date",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0018_source_resolve_effective_date",
namespace: "source",
action: "resolve_effective_date",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0019_source_preserve_original",
namespace: "source",
action: "preserve_original",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0020_source_record_lineage",
namespace: "source",
action: "record_lineage",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0021_source_enforce_access_policy",
namespace: "source",
action: "enforce_access_policy",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0022_document_reconstruct_pages",
namespace: "document",
action: "reconstruct_pages",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0023_document_analyze_layout",
namespace: "document",
action: "analyze_layout",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0024_document_infer_reading_order",
namespace: "document",
action: "infer_reading_order",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0025_document_remove_headers",
namespace: "document",
action: "remove_headers",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0026_document_remove_footers",
namespace: "document",
action: "remove_footers",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0027_document_repair_hyphenation",
namespace: "document",
action: "repair_hyphenation",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0028_document_normalize_unicode",
namespace: "document",
action: "normalize_unicode",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0029_document_resolve_footnotes",
namespace: "document",
action: "resolve_footnotes",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0030_document_extract_tables",
namespace: "document",
action: "extract_tables",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0031_document_extract_figures",
namespace: "document",
action: "extract_figures",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0032_document_link_captions",
namespace: "document",
action: "link_captions",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0033_document_detect_sections",
namespace: "document",
action: "detect_sections",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0034_document_detect_definitions",
namespace: "document",
action: "detect_definitions",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0035_document_detect_appendices",
namespace: "document",
action: "detect_appendices",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0036_document_detect_signatures",
namespace: "document",
action: "detect_signatures",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0037_document_detect_stamps",
namespace: "document",
action: "detect_stamps",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0038_document_detect_amendments",
namespace: "document",
action: "detect_amendments",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0039_document_detect_redactions",
namespace: "document",
action: "detect_redactions",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0040_document_preserve_coordinates",
namespace: "document",
action: "preserve_coordinates",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0041_document_compute_hash",
namespace: "document",
action: "compute_hash",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0042_retrieval_expand_query",
namespace: "retrieval",
action: "expand_query",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0043_retrieval_generate_aliases",
namespace: "retrieval",
action: "generate_aliases",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0044_retrieval_expand_acronyms",
namespace: "retrieval",
action: "expand_acronyms",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0045_retrieval_expand_legal_terms",
namespace: "retrieval",
action: "expand_legal_terms",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0046_retrieval_expand_financial_terms",
namespace: "retrieval",
action: "expand_financial_terms",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0047_retrieval_expand_temporal_variants",
namespace: "retrieval",
action: "expand_temporal_variants",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0048_retrieval_dense_search",
namespace: "retrieval",
action: "dense_search",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0049_retrieval_sparse_search",
namespace: "retrieval",
action: "sparse_search",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0050_retrieval_entity_search",
namespace: "retrieval",
action: "entity_search",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0051_retrieval_temporal_filter",
namespace: "retrieval",
action: "temporal_filter",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0052_retrieval_metadata_filter",
namespace: "retrieval",
action: "metadata_filter",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0053_retrieval_legal_citation_search",
namespace: "retrieval",
action: "legal_citation_search",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0054_retrieval_graph_expand",
namespace: "retrieval",
action: "graph_expand",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0055_retrieval_fuse_rankings",
namespace: "retrieval",
action: "fuse_rankings",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0056_retrieval_cross_encode",
namespace: "retrieval",
action: "cross_encode",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0057_retrieval_diversify",
namespace: "retrieval",
action: "diversify",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0058_retrieval_score_authority",
namespace: "retrieval",
action: "score_authority",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0059_retrieval_score_freshness",
namespace: "retrieval",
action: "score_freshness",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0060_retrieval_select_context",
namespace: "retrieval",
action: "select_context",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0061_retrieval_detect_coverage_gap",
namespace: "retrieval",
action: "detect_coverage_gap",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0062_retrieval_issue_followup_query",
namespace: "retrieval",
action: "issue_followup_query",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0063_entity_detect_mentions",
namespace: "entity",
action: "detect_mentions",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0064_entity_classify_type",
namespace: "entity",
action: "classify_type",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0065_entity_normalize_name",
namespace: "entity",
action: "normalize_name",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0066_entity_extract_identifiers",
namespace: "entity",
action: "extract_identifiers",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0067_entity_infer_jurisdiction",
namespace: "entity",
action: "infer_jurisdiction",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0068_entity_infer_event_time",
namespace: "entity",
action: "infer_event_time",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0069_entity_generate_aliases",
namespace: "entity",
action: "generate_aliases",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0070_entity_block_candidates",
namespace: "entity",
action: "block_candidates",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0071_entity_score_name_similarity",
namespace: "entity",
action: "score_name_similarity",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0072_entity_score_identifier_compatibility",
namespace: "entity",
action: "score_identifier_compatibility",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0073_entity_score_context_similarity",
namespace: "entity",
action: "score_context_similarity",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0074_entity_score_temporal_compatibility",
namespace: "entity",
action: "score_temporal_compatibility",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0075_entity_cluster_mentions",
namespace: "entity",
action: "cluster_mentions",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0076_entity_select_canonical_name",
namespace: "entity",
action: "select_canonical_name",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0077_entity_merge_identifiers",
namespace: "entity",
action: "merge_identifiers",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0078_entity_resolve_parent",
namespace: "entity",
action: "resolve_parent",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0079_entity_resolve_subsidiary",
namespace: "entity",
action: "resolve_subsidiary",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0080_entity_resolve_agency",
namespace: "entity",
action: "resolve_agency",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0081_entity_resolve_vendor",
namespace: "entity",
action: "resolve_vendor",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0082_entity_resolve_program",
namespace: "entity",
action: "resolve_program",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0083_entity_calibrate_confidence",
namespace: "entity",
action: "calibrate_confidence",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0084_claim_detect",
namespace: "claim",
action: "detect",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0085_claim_extract_subject",
namespace: "claim",
action: "extract_subject",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0086_claim_extract_predicate",
namespace: "claim",
action: "extract_predicate",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0087_claim_extract_object",
namespace: "claim",
action: "extract_object",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0088_claim_extract_qualifiers",
namespace: "claim",
action: "extract_qualifiers",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0089_claim_extract_negation",
namespace: "claim",
action: "extract_negation",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0090_claim_extract_modality",
namespace: "claim",
action: "extract_modality",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0091_claim_extract_conditions",
namespace: "claim",
action: "extract_conditions",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0092_claim_extract_exceptions",
namespace: "claim",
action: "extract_exceptions",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0093_claim_extract_event_time",
namespace: "claim",
action: "extract_event_time",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0094_claim_extract_effective_time",
namespace: "claim",
action: "extract_effective_time",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0095_claim_classify_type",
namespace: "claim",
action: "classify_type",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0096_claim_link_entity",
namespace: "claim",
action: "link_entity",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0097_claim_bind_evidence",
namespace: "claim",
action: "bind_evidence",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0098_claim_deduplicate",
namespace: "claim",
action: "deduplicate",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0099_claim_calibrate_confidence",
namespace: "claim",
action: "calibrate_confidence",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0100_claim_detect_contradiction",
namespace: "claim",
action: "detect_contradiction",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0101_claim_detect_dependency",
namespace: "claim",
action: "detect_dependency",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0102_claim_classify_evidence_state",
namespace: "claim",
action: "classify_evidence_state",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0103_claim_verbalize",
namespace: "claim",
action: "verbalize",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0104_metric_detect",
namespace: "metric",
action: "detect",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0105_metric_parse_value",
namespace: "metric",
action: "parse_value",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0106_metric_parse_unit",
namespace: "metric",
action: "parse_unit",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0107_metric_parse_scale",
namespace: "metric",
action: "parse_scale",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0108_metric_parse_currency",
namespace: "metric",
action: "parse_currency",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0109_metric_parse_period",
namespace: "metric",
action: "parse_period",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0110_metric_parse_dimensions",
namespace: "metric",
action: "parse_dimensions",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0111_metric_bind_row_header",
namespace: "metric",
action: "bind_row_header",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0112_metric_bind_column_header",
namespace: "metric",
action: "bind_column_header",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0113_metric_bind_footnote",
namespace: "metric",
action: "bind_footnote",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0114_metric_detect_restatement",
namespace: "metric",
action: "detect_restatement",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0115_metric_detect_estimate",
namespace: "metric",
action: "detect_estimate",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0116_metric_detect_forecast",
namespace: "metric",
action: "detect_forecast",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0117_metric_detect_non_gaap",
namespace: "metric",
action: "detect_non_gaap",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0118_metric_normalize_unit",
namespace: "metric",
action: "normalize_unit",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0119_metric_normalize_currency",
namespace: "metric",
action: "normalize_currency",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0120_metric_normalize_scale",
namespace: "metric",
action: "normalize_scale",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0121_metric_normalize_period",
namespace: "metric",
action: "normalize_period",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0122_metric_canonicalize_name",
namespace: "metric",
action: "canonicalize_name",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0123_metric_score_confidence",
namespace: "metric",
action: "score_confidence",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0124_metric_build_series",
namespace: "metric",
action: "build_series",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0125_metric_calculate_growth",
namespace: "metric",
action: "calculate_growth",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0126_metric_calculate_margin",
namespace: "metric",
action: "calculate_margin",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0127_metric_validate_formula",
namespace: "metric",
action: "validate_formula",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0128_timeline_extract_dates",
namespace: "timeline",
action: "extract_dates",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0129_timeline_normalize_dates",
namespace: "timeline",
action: "normalize_dates",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0130_timeline_resolve_partial_dates",
namespace: "timeline",
action: "resolve_partial_dates",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0131_timeline_resolve_relative_dates",
namespace: "timeline",
action: "resolve_relative_dates",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0132_timeline_resolve_effective_dates",
namespace: "timeline",
action: "resolve_effective_dates",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0133_timeline_resolve_event_dates",
namespace: "timeline",
action: "resolve_event_dates",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0134_timeline_order_events",
namespace: "timeline",
action: "order_events",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0135_timeline_infer_before_after",
namespace: "timeline",
action: "infer_before_after",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0136_timeline_infer_overlap",
namespace: "timeline",
action: "infer_overlap",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0137_timeline_infer_duration",
namespace: "timeline",
action: "infer_duration",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0138_timeline_detect_temporal_conflict",
namespace: "timeline",
action: "detect_temporal_conflict",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0139_timeline_detect_period_mismatch",
namespace: "timeline",
action: "detect_period_mismatch",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0140_timeline_detect_version_order",
namespace: "timeline",
action: "detect_version_order",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0141_timeline_link_events_to_entities",
namespace: "timeline",
action: "link_events_to_entities",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0142_timeline_link_events_to_claims",
namespace: "timeline",
action: "link_events_to_claims",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0143_timeline_link_events_to_metrics",
namespace: "timeline",
action: "link_events_to_metrics",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0144_diligence_identify_target",
namespace: "diligence",
action: "identify_target",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0145_diligence_reconstruct_business_model",
namespace: "diligence",
action: "reconstruct_business_model",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0146_diligence_define_market",
namespace: "diligence",
action: "define_market",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0147_diligence_map_products",
namespace: "diligence",
action: "map_products",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0148_diligence_map_customers",
namespace: "diligence",
action: "map_customers",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0149_diligence_map_competitors",
namespace: "diligence",
action: "map_competitors",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0150_diligence_map_suppliers",
namespace: "diligence",
action: "map_suppliers",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0151_diligence_map_channels",
namespace: "diligence",
action: "map_channels",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0152_diligence_build_financial_profile",
namespace: "diligence",
action: "build_financial_profile",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0153_diligence_assess_revenue_quality",
namespace: "diligence",
action: "assess_revenue_quality",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0154_diligence_assess_customer_concentration",
namespace: "diligence",
action: "assess_customer_concentration",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0155_diligence_assess_retention",
namespace: "diligence",
action: "assess_retention",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0156_diligence_assess_pricing",
namespace: "diligence",
action: "assess_pricing",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0157_diligence_assess_unit_economics",
namespace: "diligence",
action: "assess_unit_economics",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0158_diligence_assess_market_growth",
namespace: "diligence",
action: "assess_market_growth",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0159_diligence_assess_market_share",
namespace: "diligence",
action: "assess_market_share",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0160_diligence_assess_product_differentiation",
namespace: "diligence",
action: "assess_product_differentiation",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0161_diligence_assess_switching_costs",
namespace: "diligence",
action: "assess_switching_costs",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0162_diligence_assess_operational_dependencies",
namespace: "diligence",
action: "assess_operational_dependencies",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0163_diligence_assess_management_depth",
namespace: "diligence",
action: "assess_management_depth",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0164_diligence_score_risks",
namespace: "diligence",
action: "score_risks",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0165_diligence_identify_value_creation",
namespace: "diligence",
action: "identify_value_creation",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0166_diligence_generate_followups",
namespace: "diligence",
action: "generate_followups",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0167_regulatory_identify_authority",
namespace: "regulatory",
action: "identify_authority",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0168_regulatory_identify_instrument",
namespace: "regulatory",
action: "identify_instrument",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0169_regulatory_parse_provision",
namespace: "regulatory",
action: "parse_provision",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0170_regulatory_extract_obligation",
namespace: "regulatory",
action: "extract_obligation",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0171_regulatory_extract_prohibition",
namespace: "regulatory",
action: "extract_prohibition",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0172_regulatory_extract_permission",
namespace: "regulatory",
action: "extract_permission",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0173_regulatory_extract_exemption",
namespace: "regulatory",
action: "extract_exemption",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0174_regulatory_extract_threshold",
namespace: "regulatory",
action: "extract_threshold",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0175_regulatory_extract_deadline",
namespace: "regulatory",
action: "extract_deadline",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0176_regulatory_extract_enforcement",
namespace: "regulatory",
action: "extract_enforcement",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0177_regulatory_resolve_version",
namespace: "regulatory",
action: "resolve_version",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0178_regulatory_align_provisions",
namespace: "regulatory",
action: "align_provisions",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0179_regulatory_detect_insertion",
namespace: "regulatory",
action: "detect_insertion",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0180_regulatory_detect_deletion",
namespace: "regulatory",
action: "detect_deletion",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0181_regulatory_detect_scope_change",
namespace: "regulatory",
action: "detect_scope_change",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0182_regulatory_detect_threshold_change",
namespace: "regulatory",
action: "detect_threshold_change",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0183_regulatory_detect_deadline_change",
namespace: "regulatory",
action: "detect_deadline_change",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0184_regulatory_detect_enforcement_change",
namespace: "regulatory",
action: "detect_enforcement_change",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0185_regulatory_evaluate_applicability",
namespace: "regulatory",
action: "evaluate_applicability",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0186_regulatory_evaluate_operational_impact",
namespace: "regulatory",
action: "evaluate_operational_impact",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0187_regulatory_generate_action_plan",
namespace: "regulatory",
action: "generate_action_plan",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0188_regulatory_monitor_future_effective_date",
namespace: "regulatory",
action: "monitor_future_effective_date",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0189_regulatory_flag_primary_authority_gap",
namespace: "regulatory",
action: "flag_primary_authority_gap",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0190_public_sector_identify_agency",
namespace: "public_sector",
action: "identify_agency",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0191_public_sector_identify_program",
namespace: "public_sector",
action: "identify_program",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0192_public_sector_identify_procurement",
namespace: "public_sector",
action: "identify_procurement",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0193_public_sector_identify_award",
namespace: "public_sector",
action: "identify_award",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0194_public_sector_identify_vendor",
namespace: "public_sector",
action: "identify_vendor",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0195_public_sector_identify_beneficiary",
namespace: "public_sector",
action: "identify_beneficiary",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0196_public_sector_resolve_location",
namespace: "public_sector",
action: "resolve_location",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0197_public_sector_link_contract_number",
namespace: "public_sector",
action: "link_contract_number",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0198_public_sector_link_award_id",
namespace: "public_sector",
action: "link_award_id",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0199_public_sector_link_vendor_id",
namespace: "public_sector",
action: "link_vendor_id",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0200_public_sector_link_agency_code",
namespace: "public_sector",
action: "link_agency_code",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0201_public_sector_link_program_code",
namespace: "public_sector",
action: "link_program_code",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0202_public_sector_reconstruct_funding_flow",
namespace: "public_sector",
action: "reconstruct_funding_flow",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0203_public_sector_assess_delivery_status",
namespace: "public_sector",
action: "assess_delivery_status",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0204_public_sector_detect_duplicate_record",
namespace: "public_sector",
action: "detect_duplicate_record",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0205_public_sector_detect_missing_record",
namespace: "public_sector",
action: "detect_missing_record",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0206_public_sector_detect_amount_variance",
namespace: "public_sector",
action: "detect_amount_variance",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0207_public_sector_detect_date_variance",
namespace: "public_sector",
action: "detect_date_variance",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0208_public_sector_resolve_record_ambiguity",
namespace: "public_sector",
action: "resolve_record_ambiguity",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0209_public_sector_construct_operational_picture",
namespace: "public_sector",
action: "construct_operational_picture",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0210_public_sector_generate_time_critical_output",
namespace: "public_sector",
action: "generate_time_critical_output",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0211_research_frame_question",
namespace: "research",
action: "frame_question",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0212_research_identify_dataset",
namespace: "research",
action: "identify_dataset",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0213_research_extract_definition",
namespace: "research",
action: "extract_definition",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0214_research_build_metric_series",
namespace: "research",
action: "build_metric_series",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0215_research_evaluate_comparability",
namespace: "research",
action: "evaluate_comparability",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0216_research_align_units",
namespace: "research",
action: "align_units",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0217_research_align_currencies",
namespace: "research",
action: "align_currencies",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0218_research_align_periods",
namespace: "research",
action: "align_periods",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0219_research_align_geographies",
namespace: "research",
action: "align_geographies",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0220_research_align_populations",
namespace: "research",
action: "align_populations",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0221_research_align_methodologies",
namespace: "research",
action: "align_methodologies",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0222_research_calculate",
namespace: "research",
action: "calculate",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0223_research_independently_recalculate",
namespace: "research",
action: "independently_recalculate",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0224_research_detect_outlier",
namespace: "research",
action: "detect_outlier",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0225_research_test_sensitivity",
namespace: "research",
action: "test_sensitivity",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0226_research_derive_finding",
namespace: "research",
action: "derive_finding",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0227_research_separate_fact_interpretation",
namespace: "research",
action: "separate_fact_interpretation",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0228_research_synthesize_narrative",
namespace: "research",
action: "synthesize_narrative",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0229_research_propose_visualization",
namespace: "research",
action: "propose_visualization",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0230_research_attach_source_note",
namespace: "research",
action: "attach_source_note",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0231_research_disclose_missing_data",
namespace: "research",
action: "disclose_missing_data",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0232_research_disclose_transformation",
namespace: "research",
action: "disclose_transformation",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0233_validation_validate_schema",
namespace: "validation",
action: "validate_schema",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0234_validation_validate_citation",
namespace: "validation",
action: "validate_citation",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0235_validation_validate_entailment",
namespace: "validation",
action: "validate_entailment",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0236_validation_validate_numeric_match",
namespace: "validation",
action: "validate_numeric_match",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0237_validation_validate_legal_authority",
namespace: "validation",
action: "validate_legal_authority",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0238_validation_validate_entity_consistency",
namespace: "validation",
action: "validate_entity_consistency",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0239_validation_validate_temporal_consistency",
namespace: "validation",
action: "validate_temporal_consistency",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0240_validation_validate_unit_compatibility",
namespace: "validation",
action: "validate_unit_compatibility",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0241_validation_validate_period_compatibility",
namespace: "validation",
action: "validate_period_compatibility",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0242_validation_validate_scope_compatibility",
namespace: "validation",
action: "validate_scope_compatibility",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0243_validation_validate_causal_language",
namespace: "validation",
action: "validate_causal_language",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0244_validation_validate_uncertainty",
namespace: "validation",
action: "validate_uncertainty",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0245_validation_validate_question_coverage",
namespace: "validation",
action: "validate_question_coverage",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0246_validation_validate_source_diversity",
namespace: "validation",
action: "validate_source_diversity",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0247_validation_validate_privacy",
namespace: "validation",
action: "validate_privacy",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0248_validation_validate_redaction",
namespace: "validation",
action: "validate_redaction",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0249_validation_validate_policy",
namespace: "validation",
action: "validate_policy",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0250_validation_validate_output_hash",
namespace: "validation",
action: "validate_output_hash",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0251_audit_record_event",
namespace: "audit",
action: "record_event",
execution_mode: "deterministic_when_possible",
requires_evidence: false,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0252_audit_record_input_hash",
namespace: "audit",
action: "record_input_hash",
execution_mode: "deterministic_when_possible",
requires_evidence: false,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0253_audit_record_plan_hash",
namespace: "audit",
action: "record_plan_hash",
execution_mode: "deterministic_when_possible",
requires_evidence: false,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0254_audit_record_source_manifest",
namespace: "audit",
action: "record_source_manifest",
execution_mode: "deterministic_when_possible",
requires_evidence: false,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0255_audit_record_retrieval_path",
namespace: "audit",
action: "record_retrieval_path",
execution_mode: "deterministic_when_possible",
requires_evidence: false,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0256_audit_record_entity_snapshot",
namespace: "audit",
action: "record_entity_snapshot",
execution_mode: "deterministic_when_possible",
requires_evidence: false,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0257_audit_record_claim_snapshot",
namespace: "audit",
action: "record_claim_snapshot",
execution_mode: "deterministic_when_possible",
requires_evidence: false,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0258_audit_record_metric_snapshot",
namespace: "audit",
action: "record_metric_snapshot",
execution_mode: "deterministic_when_possible",
requires_evidence: false,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0259_audit_record_conflict_snapshot",
namespace: "audit",
action: "record_conflict_snapshot",
execution_mode: "deterministic_when_possible",
requires_evidence: false,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0260_audit_record_evidence_graph_hash",
namespace: "audit",
action: "record_evidence_graph_hash",
execution_mode: "deterministic_when_possible",
requires_evidence: false,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0261_audit_record_calculation_lineage",
namespace: "audit",
action: "record_calculation_lineage",
execution_mode: "deterministic_when_possible",
requires_evidence: false,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0262_audit_record_review_decision",
namespace: "audit",
action: "record_review_decision",
execution_mode: "deterministic_when_possible",
requires_evidence: false,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0263_audit_record_override_reason",
namespace: "audit",
action: "record_override_reason",
execution_mode: "deterministic_when_possible",
requires_evidence: false,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0264_audit_record_output_hash",
namespace: "audit",
action: "record_output_hash",
execution_mode: "deterministic_when_possible",
requires_evidence: false,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0265_audit_seal_package",
namespace: "audit",
action: "seal_package",
execution_mode: "deterministic_when_possible",
requires_evidence: false,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0266_audit_persist_append_only",
namespace: "audit",
action: "persist_append_only",
execution_mode: "deterministic_when_possible",
requires_evidence: false,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
/* ============================================================================================ */
/* PARALLEL WORKFLOW DAG
/* ============================================================================================ */
workflowGraph.addNode({
node_id: "W000",
name: "receive_objective",
stage: "RECEIVE",
dependencies: [],
parallelizable: true,
evidence_bound: true,
audit_enabled: true
});
workflowGraph.addNode({
node_id: "W010",
name: "interpret_intent",
stage: "INTERPRET",
dependencies: ["W000"],
parallelizable: true,
evidence_bound: true,
audit_enabled: true
});
workflowGraph.addNode({
node_id: "W020",
name: "decompose_questions",
stage: "DECOMPOSE",
dependencies: ["W010"],
parallelizable: true,
evidence_bound: true,
audit_enabled: true
});
workflowGraph.addNode({
node_id: "W030",
name: "compile_plan",
stage: "PLAN",
dependencies: ["W020"],
parallelizable: true,
evidence_bound: true,
audit_enabled: true
});
workflowGraph.addNode({
node_id: "W040",
name: "acquire_primary_sources",
stage: "ACQUIRE",
dependencies: ["W030"],
parallelizable: true,
evidence_bound: true,
audit_enabled: true
});
workflowGraph.addNode({
node_id: "W041",
name: "acquire_secondary_sources",
stage: "ACQUIRE",
dependencies: ["W030"],
parallelizable: true,
evidence_bound: true,
audit_enabled: true
});
workflowGraph.addNode({
node_id: "W050",
name: "normalize_documents",
stage: "NORMALIZE",
dependencies: ["W040", "W041"],
parallelizable: false,
evidence_bound: true,
audit_enabled: true
});
workflowGraph.addNode({
node_id: "W060",
name: "segment_corpus",
stage: "INDEX",
dependencies: ["W050"],
parallelizable: true,
evidence_bound: true,
audit_enabled: true
});
workflowGraph.addNode({
node_id: "W061",
name: "build_dense_index",
stage: "INDEX",
dependencies: ["W060"],
parallelizable: true,
evidence_bound: true,
audit_enabled: true
});
workflowGraph.addNode({
node_id: "W062",
name: "build_sparse_index",
stage: "INDEX",
dependencies: ["W060"],
parallelizable: true,
evidence_bound: true,
audit_enabled: true
});
workflowGraph.addNode({
node_id: "W063",
name: "build_temporal_index",
stage: "INDEX",
dependencies: ["W060"],
parallelizable: true,
evidence_bound: true,
audit_enabled: true
});
workflowGraph.addNode({
node_id: "W064",
name: "build_entity_index",
stage: "INDEX",
dependencies: ["W060"],
parallelizable: true,
evidence_bound: true,
audit_enabled: true
});
workflowGraph.addNode({
node_id: "W070",
name: "retrieve_diligence_evidence",
stage: "RETRIEVE",
dependencies: ["W061", "W062", "W064"],
parallelizable: false,
evidence_bound: true,
audit_enabled: true
});
workflowGraph.addNode({
node_id: "W071",
name: "retrieve_regulatory_evidence",
stage: "RETRIEVE",
dependencies: ["W061", "W062", "W063"],
parallelizable: false,
evidence_bound: true,
audit_enabled: true
});
workflowGraph.addNode({
node_id: "W072",
name: "retrieve_public_sector_evidence",
stage: "RETRIEVE",
dependencies: ["W061", "W062", "W064"],
parallelizable: false,
evidence_bound: true,
audit_enabled: true
});
workflowGraph.addNode({
node_id: "W073",
name: "retrieve_research_evidence",
stage: "RETRIEVE",
dependencies: ["W061", "W062", "W063"],
parallelizable: false,
evidence_bound: true,
audit_enabled: true
});
workflowGraph.addNode({
node_id: "W080",
name: "resolve_shared_entities",
stage: "RESOLVE",
dependencies: ["W070", "W071", "W072", "W073"],
parallelizable: false,
evidence_bound: true,
audit_enabled: true
});
workflowGraph.addNode({
node_id: "W090",
name: "extract_claims",
stage: "EXTRACT",
dependencies: ["W080"],
parallelizable: true,
evidence_bound: true,
audit_enabled: true
});
workflowGraph.addNode({
node_id: "W091",
name: "extract_metrics",
stage: "EXTRACT",
dependencies: ["W080"],
parallelizable: true,
evidence_bound: true,
audit_enabled: true
});
workflowGraph.addNode({
node_id: "W092",
name: "construct_timeline",
stage: "EXTRACT",
dependencies: ["W090", "W091"],
parallelizable: false,
evidence_bound: true,
audit_enabled: true
});
workflowGraph.addNode({
node_id: "W093",
name: "detect_conflicts",
stage: "VERIFY",
dependencies: ["W090", "W091", "W092"],
parallelizable: false,
evidence_bound: true,
audit_enabled: true
});
workflowGraph.addNode({
node_id: "W100",
name: "analyze_diligence",
stage: "ANALYZE",
dependencies: ["W090", "W091", "W093"],
parallelizable: false,
evidence_bound: true,
audit_enabled: true
});
workflowGraph.addNode({
node_id: "W101",
name: "analyze_regulation",
stage: "ANALYZE",
dependencies: ["W090", "W092", "W093"],
parallelizable: false,
evidence_bound: true,
audit_enabled: true
});
workflowGraph.addNode({
node_id: "W102",
name: "analyze_public_sector",
stage: "ANALYZE",
dependencies: ["W080", "W091", "W092"],
parallelizable: false,
evidence_bound: true,
audit_enabled: true
});
workflowGraph.addNode({
node_id: "W103",
name: "analyze_research",
stage: "ANALYZE",
dependencies: ["W090", "W091", "W092"],
parallelizable: false,
evidence_bound: true,
audit_enabled: true
});
workflowGraph.addNode({
node_id: "W110",
name: "reconcile_workflows",
stage: "SYNTHESIZE",
dependencies: ["W100", "W101", "W102", "W103"],
parallelizable: false,
evidence_bound: true,
audit_enabled: true
});
workflowGraph.addNode({
node_id: "W120",
name: "validate_global_output",
stage: "VERIFY",
dependencies: ["W110"],
parallelizable: true,
evidence_bound: true,
audit_enabled: true
});
workflowGraph.addNode({
node_id: "W130",
name: "human_review_gate",
stage: "REVIEW",
dependencies: ["W120"],
parallelizable: true,
evidence_bound: true,
audit_enabled: true
});
workflowGraph.addNode({
node_id: "W140",
name: "render_deliverable",
stage: "RENDER",
dependencies: ["W130"],
parallelizable: true,
evidence_bound: true,
audit_enabled: true
});
workflowGraph.addNode({
node_id: "W150",
name: "persist_audit_package",
stage: "AUDIT",
dependencies: ["W140"],
parallelizable: true,
evidence_bound: true,
audit_enabled: true
});
/* ============================================================================================ */
/* DEEP EXECUTION TRACE
/* ============================================================================================ */
[00:00.020] trace=000001 cycle=01 runtime.initialize status=complete confidence=0.87 evidence_paths=14 latency_ms=29
[00:00.053] trace=000002 cycle=01 model.load_shards status=complete confidence=0.94 evidence_paths=25 latency_ms=46
[00:00.070] trace=000003 cycle=01 tokenizer.compile_vocabulary status=complete confidence=0.82 evidence_paths=36 latency_ms=63
[00:00.100] trace=000004 cycle=01 scheduler.compile_execution_graph status=complete confidence=0.89 evidence_paths=47 latency_ms=80
[00:00.114] trace=000005 cycle=01 source.acquire status=complete confidence=0.96 evidence_paths=11 latency_ms=97
[00:00.141] trace=000006 cycle=01 document.normalize status=complete confidence=0.84 evidence_paths=22 latency_ms=114
[00:00.152] trace=000007 cycle=01 index.build status=complete confidence=0.91 evidence_paths=33 latency_ms=131
[00:00.176] trace=000008 cycle=01 retrieval.execute status=complete confidence=0.98 evidence_paths=44 latency_ms=148
[00:00.184] trace=000009 cycle=01 entity.resolve status=complete confidence=0.86 evidence_paths=8 latency_ms=165
[00:00.205] trace=000010 cycle=01 claim.extract status=complete confidence=0.93 evidence_paths=19 latency_ms=182
[00:00.239] trace=000011 cycle=01 metric.extract status=complete confidence=0.81 evidence_paths=30 latency_ms=199
[00:00.257] trace=000012 cycle=01 timeline.construct status=complete confidence=0.88 evidence_paths=41 latency_ms=216
[00:00.288] trace=000013 cycle=01 conflict.detect status=complete confidence=0.95 evidence_paths=5 latency_ms=22
[00:00.303] trace=000014 cycle=01 diligence.analyze status=complete confidence=0.83 evidence_paths=16 latency_ms=39
[00:00.331] trace=000015 cycle=01 regulatory.analyze status=complete confidence=0.90 evidence_paths=27 latency_ms=56
[00:00.343] trace=000016 cycle=01 public_sector.analyze status=complete confidence=0.97 evidence_paths=38 latency_ms=73
[00:00.368] trace=000017 cycle=01 research.analyze status=complete confidence=0.85 evidence_paths=49 latency_ms=90
[00:00.377] trace=000018 cycle=01 reconciliation.merge status=complete confidence=0.92 evidence_paths=13 latency_ms=107
[00:00.399] trace=000019 cycle=01 validation.run status=complete confidence=0.80 evidence_paths=24 latency_ms=124
[00:00.434] trace=000020 cycle=01 human_review.apply status=complete confidence=0.87 evidence_paths=35 latency_ms=141
[00:00.453] trace=000021 cycle=01 output.render status=complete confidence=0.94 evidence_paths=46 latency_ms=158
[00:00.485] trace=000022 cycle=01 audit.persist status=complete confidence=0.82 evidence_paths=10 latency_ms=175
[00:00.501] trace=000023 cycle=02 runtime.initialize status=complete confidence=0.89 evidence_paths=21 latency_ms=192
[00:00.530] trace=000024 cycle=02 model.load_shards status=complete confidence=0.96 evidence_paths=32 latency_ms=209
[00:00.543] trace=000025 cycle=02 tokenizer.compile_vocabulary status=complete confidence=0.84 evidence_paths=43 latency_ms=15
[00:00.569] trace=000026 cycle=02 scheduler.compile_execution_graph status=complete confidence=0.91 evidence_paths=7 latency_ms=32
[00:00.579] trace=000027 cycle=02 source.acquire status=complete confidence=0.98 evidence_paths=18 latency_ms=49
[00:00.602] trace=000028 cycle=02 document.normalize status=complete confidence=0.86 evidence_paths=29 latency_ms=66
[00:00.609] trace=000029 cycle=02 index.build status=complete confidence=0.93 evidence_paths=40 latency_ms=83
[00:00.629] trace=000030 cycle=02 retrieval.execute status=complete confidence=0.81 evidence_paths=4 latency_ms=100
[00:00.662] trace=000031 cycle=02 entity.resolve status=complete confidence=0.88 evidence_paths=15 latency_ms=117
[00:00.679] trace=000032 cycle=02 claim.extract status=complete confidence=0.95 evidence_paths=26 latency_ms=134
[00:00.709] trace=000033 cycle=02 metric.extract status=complete confidence=0.83 evidence_paths=37 latency_ms=151
[00:00.723] trace=000034 cycle=02 timeline.construct status=complete confidence=0.90 evidence_paths=48 latency_ms=168
[00:00.750] trace=000035 cycle=02 conflict.detect status=complete confidence=0.97 evidence_paths=12 latency_ms=185
[00:00.761] trace=000036 cycle=02 diligence.analyze status=complete confidence=0.85 evidence_paths=23 latency_ms=202
[00:00.785] trace=000037 cycle=02 regulatory.analyze status=complete confidence=0.92 evidence_paths=34 latency_ms=219
[00:00.793] trace=000038 cycle=02 public_sector.analyze status=complete confidence=0.80 evidence_paths=45 latency_ms=25
[00:00.814] trace=000039 cycle=02 research.analyze status=complete confidence=0.87 evidence_paths=9 latency_ms=42
[00:00.848] trace=000040 cycle=02 reconciliation.merge status=complete confidence=0.94 evidence_paths=20 latency_ms=59
[00:00.866] trace=000041 cycle=02 validation.run status=complete confidence=0.82 evidence_paths=31 latency_ms=76
[00:00.897] trace=000042 cycle=02 human_review.apply status=complete confidence=0.89 evidence_paths=42 latency_ms=93
[00:00.912] trace=000043 cycle=02 output.render status=complete confidence=0.96 evidence_paths=6 latency_ms=110
[00:00.940] trace=000044 cycle=02 audit.persist status=complete confidence=0.84 evidence_paths=17 latency_ms=127
[00:00.952] trace=000045 cycle=03 runtime.initialize status=complete confidence=0.91 evidence_paths=28 latency_ms=144
[00:00.977] trace=000046 cycle=03 model.load_shards status=complete confidence=0.98 evidence_paths=39 latency_ms=161
[00:00.986] trace=000047 cycle=03 tokenizer.compile_vocabulary status=complete confidence=0.86 evidence_paths=3 latency_ms=178
[00:01.008] trace=000048 cycle=03 scheduler.compile_execution_graph status=complete confidence=0.93 evidence_paths=14 latency_ms=195
[00:01.043] trace=000049 cycle=03 source.acquire status=complete confidence=0.81 evidence_paths=25 latency_ms=212
[00:01.062] trace=000050 cycle=03 document.normalize status=complete confidence=0.88 evidence_paths=36 latency_ms=18
[00:01.094] trace=000051 cycle=03 index.build status=complete confidence=0.95 evidence_paths=47 latency_ms=35
[00:01.110] trace=000052 cycle=03 retrieval.execute status=complete confidence=0.83 evidence_paths=11 latency_ms=52
[00:01.139] trace=000053 cycle=03 entity.resolve status=complete confidence=0.90 evidence_paths=22 latency_ms=69
[00:01.152] trace=000054 cycle=03 claim.extract status=complete confidence=0.97 evidence_paths=33 latency_ms=86
[00:01.178] trace=000055 cycle=03 metric.extract status=complete confidence=0.85 evidence_paths=44 latency_ms=103
[00:01.188] trace=000056 cycle=03 timeline.construct status=complete confidence=0.92 evidence_paths=8 latency_ms=120
[00:01.211] trace=000057 cycle=03 conflict.detect status=complete confidence=0.80 evidence_paths=19 latency_ms=137
[00:01.218] trace=000058 cycle=03 diligence.analyze status=complete confidence=0.87 evidence_paths=30 latency_ms=154
[00:01.238] trace=000059 cycle=03 regulatory.analyze status=complete confidence=0.94 evidence_paths=41 latency_ms=171
[00:01.271] trace=000060 cycle=03 public_sector.analyze status=complete confidence=0.82 evidence_paths=5 latency_ms=188
[00:01.288] trace=000061 cycle=03 research.analyze status=complete confidence=0.89 evidence_paths=16 latency_ms=205
[00:01.318] trace=000062 cycle=03 reconciliation.merge status=complete confidence=0.96 evidence_paths=27 latency_ms=222
[00:01.332] trace=000063 cycle=03 validation.run status=complete confidence=0.84 evidence_paths=38 latency_ms=28
[00:01.359] trace=000064 cycle=03 human_review.apply status=complete confidence=0.91 evidence_paths=49 latency_ms=45
[00:01.370] trace=000065 cycle=03 output.render status=complete confidence=0.98 evidence_paths=13 latency_ms=62
[00:01.394] trace=000066 cycle=03 audit.persist status=complete confidence=0.86 evidence_paths=24 latency_ms=79
[00:01.402] trace=000067 cycle=04 runtime.initialize status=complete confidence=0.93 evidence_paths=35 latency_ms=96
[00:01.423] trace=000068 cycle=04 model.load_shards status=complete confidence=0.81 evidence_paths=46 latency_ms=113
[00:01.457] trace=000069 cycle=04 tokenizer.compile_vocabulary status=complete confidence=0.88 evidence_paths=10 latency_ms=130
[00:01.475] trace=000070 cycle=04 scheduler.compile_execution_graph status=complete confidence=0.95 evidence_paths=21 latency_ms=147
[00:01.506] trace=000071 cycle=04 source.acquire status=complete confidence=0.83 evidence_paths=32 latency_ms=164
[00:01.521] trace=000072 cycle=04 document.normalize status=complete confidence=0.90 evidence_paths=43 latency_ms=181
[00:01.549] trace=000073 cycle=04 index.build status=complete confidence=0.97 evidence_paths=7 latency_ms=198
[00:01.561] trace=000074 cycle=04 retrieval.execute status=complete confidence=0.85 evidence_paths=18 latency_ms=215
[00:01.586] trace=000075 cycle=04 entity.resolve status=complete confidence=0.92 evidence_paths=29 latency_ms=21
[00:01.595] trace=000076 cycle=04 claim.extract status=complete confidence=0.80 evidence_paths=40 latency_ms=38
[00:01.617] trace=000077 cycle=04 metric.extract status=complete confidence=0.87 evidence_paths=4 latency_ms=55
[00:01.652] trace=000078 cycle=04 timeline.construct status=complete confidence=0.94 evidence_paths=15 latency_ms=72
[00:01.671] trace=000079 cycle=04 conflict.detect status=complete confidence=0.82 evidence_paths=26 latency_ms=89
[00:01.703] trace=000080 cycle=04 diligence.analyze status=complete confidence=0.89 evidence_paths=37 latency_ms=106
[00:01.719] trace=000081 cycle=04 regulatory.analyze status=complete confidence=0.96 evidence_paths=48 latency_ms=123
[00:01.748] trace=000082 cycle=04 public_sector.analyze status=complete confidence=0.84 evidence_paths=12 latency_ms=140
[00:01.761] trace=000083 cycle=04 research.analyze status=complete confidence=0.91 evidence_paths=23 latency_ms=157
[00:01.787] trace=000084 cycle=04 reconciliation.merge status=complete confidence=0.98 evidence_paths=34 latency_ms=174
[00:01.797] trace=000085 cycle=04 validation.run status=complete confidence=0.86 evidence_paths=45 latency_ms=191
[00:01.820] trace=000086 cycle=04 human_review.apply status=complete confidence=0.93 evidence_paths=9 latency_ms=208
[00:01.827] trace=000087 cycle=04 output.render status=complete confidence=0.81 evidence_paths=20 latency_ms=14
[00:01.847] trace=000088 cycle=04 audit.persist status=complete confidence=0.88 evidence_paths=31 latency_ms=31
[00:01.880] trace=000089 cycle=05 runtime.initialize status=complete confidence=0.95 evidence_paths=42 latency_ms=48
[00:01.897] trace=000090 cycle=05 model.load_shards status=complete confidence=0.83 evidence_paths=6 latency_ms=65
[00:01.927] trace=000091 cycle=05 tokenizer.compile_vocabulary status=complete confidence=0.90 evidence_paths=17 latency_ms=82
[00:01.941] trace=000092 cycle=05 scheduler.compile_execution_graph status=complete confidence=0.97 evidence_paths=28 latency_ms=99
[00:01.968] trace=000093 cycle=05 source.acquire status=complete confidence=0.85 evidence_paths=39 latency_ms=116
[00:01.979] trace=000094 cycle=05 document.normalize status=complete confidence=0.92 evidence_paths=3 latency_ms=133
[00:02.003] trace=000095 cycle=05 index.build status=complete confidence=0.80 evidence_paths=14 latency_ms=150
[00:02.011] trace=000096 cycle=05 retrieval.execute status=complete confidence=0.87 evidence_paths=25 latency_ms=167
[00:02.032] trace=000097 cycle=05 entity.resolve status=complete confidence=0.94 evidence_paths=36 latency_ms=184
[00:02.066] trace=000098 cycle=05 claim.extract status=complete confidence=0.82 evidence_paths=47 latency_ms=201
[00:02.084] trace=000099 cycle=05 metric.extract status=complete confidence=0.89 evidence_paths=11 latency_ms=218
[00:02.115] trace=000100 cycle=05 timeline.construct status=complete confidence=0.96 evidence_paths=22 latency_ms=24
[00:02.130] trace=000101 cycle=05 conflict.detect status=complete confidence=0.84 evidence_paths=33 latency_ms=41
[00:02.158] trace=000102 cycle=05 diligence.analyze status=complete confidence=0.91 evidence_paths=44 latency_ms=58
[00:02.170] trace=000103 cycle=05 regulatory.analyze status=complete confidence=0.98 evidence_paths=8 latency_ms=75
[00:02.195] trace=000104 cycle=05 public_sector.analyze status=complete confidence=0.86 evidence_paths=19 latency_ms=92
[00:02.204] trace=000105 cycle=05 research.analyze status=complete confidence=0.93 evidence_paths=30 latency_ms=109
[00:02.226] trace=000106 cycle=05 reconciliation.merge status=complete confidence=0.81 evidence_paths=41 latency_ms=126
[00:02.261] trace=000107 cycle=05 validation.run status=complete confidence=0.88 evidence_paths=5 latency_ms=143
[00:02.280] trace=000108 cycle=05 human_review.apply status=complete confidence=0.95 evidence_paths=16 latency_ms=160
[00:02.312] trace=000109 cycle=05 output.render status=complete confidence=0.83 evidence_paths=27 latency_ms=177
[00:02.328] trace=000110 cycle=05 audit.persist status=complete confidence=0.90 evidence_paths=38 latency_ms=194
[00:02.357] trace=000111 cycle=06 runtime.initialize status=complete confidence=0.97 evidence_paths=49 latency_ms=211
[00:02.370] trace=000112 cycle=06 model.load_shards status=complete confidence=0.85 evidence_paths=13 latency_ms=17
[00:02.396] trace=000113 cycle=06 tokenizer.compile_vocabulary status=complete confidence=0.92 evidence_paths=24 latency_ms=34
[00:02.406] trace=000114 cycle=06 scheduler.compile_execution_graph status=complete confidence=0.80 evidence_paths=35 latency_ms=51
[00:02.429] trace=000115 cycle=06 source.acquire status=complete confidence=0.87 evidence_paths=46 latency_ms=68
[00:02.436] trace=000116 cycle=06 document.normalize status=complete confidence=0.94 evidence_paths=10 latency_ms=85
[00:02.456] trace=000117 cycle=06 index.build status=complete confidence=0.82 evidence_paths=21 latency_ms=102
[00:02.489] trace=000118 cycle=06 retrieval.execute status=complete confidence=0.89 evidence_paths=32 latency_ms=119
[00:02.506] trace=000119 cycle=06 entity.resolve status=complete confidence=0.96 evidence_paths=43 latency_ms=136
[00:02.536] trace=000120 cycle=06 claim.extract status=complete confidence=0.84 evidence_paths=7 latency_ms=153
[00:02.550] trace=000121 cycle=06 metric.extract status=complete confidence=0.91 evidence_paths=18 latency_ms=170
[00:02.577] trace=000122 cycle=06 timeline.construct status=complete confidence=0.98 evidence_paths=29 latency_ms=187
[00:02.588] trace=000123 cycle=06 conflict.detect status=complete confidence=0.86 evidence_paths=40 latency_ms=204
[00:02.612] trace=000124 cycle=06 diligence.analyze status=complete confidence=0.93 evidence_paths=4 latency_ms=221
[00:02.620] trace=000125 cycle=06 regulatory.analyze status=complete confidence=0.81 evidence_paths=15 latency_ms=27
[00:02.641] trace=000126 cycle=06 public_sector.analyze status=complete confidence=0.88 evidence_paths=26 latency_ms=44
[00:02.675] trace=000127 cycle=06 research.analyze status=complete confidence=0.95 evidence_paths=37 latency_ms=61
[00:02.693] trace=000128 cycle=06 reconciliation.merge status=complete confidence=0.83 evidence_paths=48 latency_ms=78
[00:02.724] trace=000129 cycle=06 validation.run status=complete confidence=0.90 evidence_paths=12 latency_ms=95
[00:02.739] trace=000130 cycle=06 human_review.apply status=complete confidence=0.97 evidence_paths=23 latency_ms=112
[00:02.767] trace=000131 cycle=06 output.render status=complete confidence=0.85 evidence_paths=34 latency_ms=129
[00:02.779] trace=000132 cycle=06 audit.persist status=complete confidence=0.92 evidence_paths=45 latency_ms=146
[00:02.804] trace=000133 cycle=07 runtime.initialize status=complete confidence=0.80 evidence_paths=9 latency_ms=163
[00:02.813] trace=000134 cycle=07 model.load_shards status=complete confidence=0.87 evidence_paths=20 latency_ms=180
[00:02.835] trace=000135 cycle=07 tokenizer.compile_vocabulary status=complete confidence=0.94 evidence_paths=31 latency_ms=197
[00:02.870] trace=000136 cycle=07 scheduler.compile_execution_graph status=complete confidence=0.82 evidence_paths=42 latency_ms=214
[00:02.889] trace=000137 cycle=07 source.acquire status=complete confidence=0.89 evidence_paths=6 latency_ms=20
[00:02.921] trace=000138 cycle=07 document.normalize status=complete confidence=0.96 evidence_paths=17 latency_ms=37
[00:02.937] trace=000139 cycle=07 index.build status=complete confidence=0.84 evidence_paths=28 latency_ms=54
[00:02.966] trace=000140 cycle=07 retrieval.execute status=complete confidence=0.91 evidence_paths=39 latency_ms=71
[00:02.979] trace=000141 cycle=07 entity.resolve status=complete confidence=0.98 evidence_paths=3 latency_ms=88
[00:03.005] trace=000142 cycle=07 claim.extract status=complete confidence=0.86 evidence_paths=14 latency_ms=105
[00:03.015] trace=000143 cycle=07 metric.extract status=complete confidence=0.93 evidence_paths=25 latency_ms=122
[00:03.038] trace=000144 cycle=07 timeline.construct status=complete confidence=0.81 evidence_paths=36 latency_ms=139
[00:03.045] trace=000145 cycle=07 conflict.detect status=complete confidence=0.88 evidence_paths=47 latency_ms=156
[00:03.065] trace=000146 cycle=07 diligence.analyze status=complete confidence=0.95 evidence_paths=11 latency_ms=173
[00:03.098] trace=000147 cycle=07 regulatory.analyze status=complete confidence=0.83 evidence_paths=22 latency_ms=190
[00:03.115] trace=000148 cycle=07 public_sector.analyze status=complete confidence=0.90 evidence_paths=33 latency_ms=207
[00:03.145] trace=000149 cycle=07 research.analyze status=complete confidence=0.97 evidence_paths=44 latency_ms=13
[00:03.159] trace=000150 cycle=07 reconciliation.merge status=complete confidence=0.85 evidence_paths=8 latency_ms=30
[00:03.186] trace=000151 cycle=07 validation.run status=complete confidence=0.92 evidence_paths=19 latency_ms=47
[00:03.197] trace=000152 cycle=07 human_review.apply status=complete confidence=0.80 evidence_paths=30 latency_ms=64
[00:03.221] trace=000153 cycle=07 output.render status=complete confidence=0.87 evidence_paths=41 latency_ms=81
[00:03.229] trace=000154 cycle=07 audit.persist status=complete confidence=0.94 evidence_paths=5 latency_ms=98
[00:03.250] trace=000155 cycle=08 runtime.initialize status=complete confidence=0.82 evidence_paths=16 latency_ms=115
[00:03.284] trace=000156 cycle=08 model.load_shards status=complete confidence=0.89 evidence_paths=27 latency_ms=132
[00:03.302] trace=000157 cycle=08 tokenizer.compile_vocabulary status=complete confidence=0.96 evidence_paths=38 latency_ms=149
[00:03.333] trace=000158 cycle=08 scheduler.compile_execution_graph status=complete confidence=0.84 evidence_paths=49 latency_ms=166
[00:03.348] trace=000159 cycle=08 source.acquire status=complete confidence=0.91 evidence_paths=13 latency_ms=183
[00:03.376] trace=000160 cycle=08 document.normalize status=complete confidence=0.98 evidence_paths=24 latency_ms=200
[00:03.388] trace=000161 cycle=08 index.build status=complete confidence=0.86 evidence_paths=35 latency_ms=217
[00:03.413] trace=000162 cycle=08 retrieval.execute status=complete confidence=0.93 evidence_paths=46 latency_ms=23
[00:03.422] trace=000163 cycle=08 entity.resolve status=complete confidence=0.81 evidence_paths=10 latency_ms=40
[00:03.444] trace=000164 cycle=08 claim.extract status=complete confidence=0.88 evidence_paths=21 latency_ms=57
[00:03.479] trace=000165 cycle=08 metric.extract status=complete confidence=0.95 evidence_paths=32 latency_ms=74
[00:03.498] trace=000166 cycle=08 timeline.construct status=complete confidence=0.83 evidence_paths=43 latency_ms=91
[00:03.530] trace=000167 cycle=08 conflict.detect status=complete confidence=0.90 evidence_paths=7 latency_ms=108
[00:03.546] trace=000168 cycle=08 diligence.analyze status=complete confidence=0.97 evidence_paths=18 latency_ms=125
[00:03.575] trace=000169 cycle=08 regulatory.analyze status=complete confidence=0.85 evidence_paths=29 latency_ms=142
[00:03.588] trace=000170 cycle=08 public_sector.analyze status=complete confidence=0.92 evidence_paths=40 latency_ms=159
[00:03.614] trace=000171 cycle=08 research.analyze status=complete confidence=0.80 evidence_paths=4 latency_ms=176
[00:03.624] trace=000172 cycle=08 reconciliation.merge status=complete confidence=0.87 evidence_paths=15 latency_ms=193
[00:03.647] trace=000173 cycle=08 validation.run status=complete confidence=0.94 evidence_paths=26 latency_ms=210
[00:03.654] trace=000174 cycle=08 human_review.apply status=complete confidence=0.82 evidence_paths=37 latency_ms=16
[00:03.674] trace=000175 cycle=08 output.render status=complete confidence=0.89 evidence_paths=48 latency_ms=33
[00:03.707] trace=000176 cycle=08 audit.persist status=complete confidence=0.96 evidence_paths=12 latency_ms=50
[00:03.724] trace=000177 cycle=09 runtime.initialize status=complete confidence=0.84 evidence_paths=23 latency_ms=67
[00:03.754] trace=000178 cycle=09 model.load_shards status=complete confidence=0.91 evidence_paths=34 latency_ms=84
[00:03.768] trace=000179 cycle=09 tokenizer.compile_vocabulary status=complete confidence=0.98 evidence_paths=45 latency_ms=101
[00:03.795] trace=000180 cycle=09 scheduler.compile_execution_graph status=complete confidence=0.86 evidence_paths=9 latency_ms=118
[00:03.806] trace=000181 cycle=09 source.acquire status=complete confidence=0.93 evidence_paths=20 latency_ms=135
[00:03.830] trace=000182 cycle=09 document.normalize status=complete confidence=0.81 evidence_paths=31 latency_ms=152
[00:03.838] trace=000183 cycle=09 index.build status=complete confidence=0.88 evidence_paths=42 latency_ms=169
[00:03.859] trace=000184 cycle=09 retrieval.execute status=complete confidence=0.95 evidence_paths=6 latency_ms=186
[00:03.893] trace=000185 cycle=09 entity.resolve status=complete confidence=0.83 evidence_paths=17 latency_ms=203
[00:03.911] trace=000186 cycle=09 claim.extract status=complete confidence=0.90 evidence_paths=28 latency_ms=220
[00:03.942] trace=000187 cycle=09 metric.extract status=complete confidence=0.97 evidence_paths=39 latency_ms=26
[00:03.957] trace=000188 cycle=09 timeline.construct status=complete confidence=0.85 evidence_paths=3 latency_ms=43
[00:03.985] trace=000189 cycle=09 conflict.detect status=complete confidence=0.92 evidence_paths=14 latency_ms=60
[00:03.997] trace=000190 cycle=09 diligence.analyze status=complete confidence=0.80 evidence_paths=25 latency_ms=77
[00:04.022] trace=000191 cycle=09 regulatory.analyze status=complete confidence=0.87 evidence_paths=36 latency_ms=94
[00:04.031] trace=000192 cycle=09 public_sector.analyze status=complete confidence=0.94 evidence_paths=47 latency_ms=111
[00:04.053] trace=000193 cycle=09 research.analyze status=complete confidence=0.82 evidence_paths=11 latency_ms=128
[00:04.088] trace=000194 cycle=09 reconciliation.merge status=complete confidence=0.89 evidence_paths=22 latency_ms=145
[00:04.107] trace=000195 cycle=09 validation.run status=complete confidence=0.96 evidence_paths=33 latency_ms=162
[00:04.139] trace=000196 cycle=09 human_review.apply status=complete confidence=0.84 evidence_paths=44 latency_ms=179
[00:04.155] trace=000197 cycle=09 output.render status=complete confidence=0.91 evidence_paths=8 latency_ms=196
[00:04.184] trace=000198 cycle=09 audit.persist status=complete confidence=0.98 evidence_paths=19 latency_ms=213
[00:04.197] trace=000199 cycle=10 runtime.initialize status=complete confidence=0.86 evidence_paths=30 latency_ms=19
[00:04.223] trace=000200 cycle=10 model.load_shards status=complete confidence=0.93 evidence_paths=41 latency_ms=36
[00:04.233] trace=000201 cycle=10 tokenizer.compile_vocabulary status=complete confidence=0.81 evidence_paths=5 latency_ms=53
[00:04.256] trace=000202 cycle=10 scheduler.compile_execution_graph status=complete confidence=0.88 evidence_paths=16 latency_ms=70
[00:04.263] trace=000203 cycle=10 source.acquire status=complete confidence=0.95 evidence_paths=27 latency_ms=87
[00:04.283] trace=000204 cycle=10 document.normalize status=complete confidence=0.83 evidence_paths=38 latency_ms=104
[00:04.316] trace=000205 cycle=10 index.build status=complete confidence=0.90 evidence_paths=49 latency_ms=121
[00:04.333] trace=000206 cycle=10 retrieval.execute status=complete confidence=0.97 evidence_paths=13 latency_ms=138
[00:04.363] trace=000207 cycle=10 entity.resolve status=complete confidence=0.85 evidence_paths=24 latency_ms=155
[00:04.377] trace=000208 cycle=10 claim.extract status=complete confidence=0.92 evidence_paths=35 latency_ms=172
[00:04.404] trace=000209 cycle=10 metric.extract status=complete confidence=0.80 evidence_paths=46 latency_ms=189
[00:04.415] trace=000210 cycle=10 timeline.construct status=complete confidence=0.87 evidence_paths=10 latency_ms=206
[00:04.439] trace=000211 cycle=10 conflict.detect status=complete confidence=0.94 evidence_paths=21 latency_ms=12
[00:04.447] trace=000212 cycle=10 diligence.analyze status=complete confidence=0.82 evidence_paths=32 latency_ms=29
[00:04.468] trace=000213 cycle=10 regulatory.analyze status=complete confidence=0.89 evidence_paths=43 latency_ms=46
[00:04.502] trace=000214 cycle=10 public_sector.analyze status=complete confidence=0.96 evidence_paths=7 latency_ms=63
[00:04.520] trace=000215 cycle=10 research.analyze status=complete confidence=0.84 evidence_paths=18 latency_ms=80
[00:04.551] trace=000216 cycle=10 reconciliation.merge status=complete confidence=0.91 evidence_paths=29 latency_ms=97
[00:04.566] trace=000217 cycle=10 validation.run status=complete confidence=0.98 evidence_paths=40 latency_ms=114
[00:04.594] trace=000218 cycle=10 human_review.apply status=complete confidence=0.86 evidence_paths=4 latency_ms=131
[00:04.606] trace=000219 cycle=10 output.render status=complete confidence=0.93 evidence_paths=15 latency_ms=148
[00:04.631] trace=000220 cycle=10 audit.persist status=complete confidence=0.81 evidence_paths=26 latency_ms=165
[00:04.640] trace=000221 cycle=11 runtime.initialize status=complete confidence=0.88 evidence_paths=37 latency_ms=182
[00:04.662] trace=000222 cycle=11 model.load_shards status=complete confidence=0.95 evidence_paths=48 latency_ms=199
[00:04.697] trace=000223 cycle=11 tokenizer.compile_vocabulary status=complete confidence=0.83 evidence_paths=12 latency_ms=216
[00:04.716] trace=000224 cycle=11 scheduler.compile_execution_graph status=complete confidence=0.90 evidence_paths=23 latency_ms=22
[00:04.748] trace=000225 cycle=11 source.acquire status=complete confidence=0.97 evidence_paths=34 latency_ms=39
[00:04.764] trace=000226 cycle=11 document.normalize status=complete confidence=0.85 evidence_paths=45 latency_ms=56
[00:04.793] trace=000227 cycle=11 index.build status=complete confidence=0.92 evidence_paths=9 latency_ms=73
[00:04.806] trace=000228 cycle=11 retrieval.execute status=complete confidence=0.80 evidence_paths=20 latency_ms=90
[00:04.832] trace=000229 cycle=11 entity.resolve status=complete confidence=0.87 evidence_paths=31 latency_ms=107
[00:04.842] trace=000230 cycle=11 claim.extract status=complete confidence=0.94 evidence_paths=42 latency_ms=124
[00:04.865] trace=000231 cycle=11 metric.extract status=complete confidence=0.82 evidence_paths=6 latency_ms=141
[00:04.872] trace=000232 cycle=11 timeline.construct status=complete confidence=0.89 evidence_paths=17 latency_ms=158
[00:04.892] trace=000233 cycle=11 conflict.detect status=complete confidence=0.96 evidence_paths=28 latency_ms=175
[00:04.925] trace=000234 cycle=11 diligence.analyze status=complete confidence=0.84 evidence_paths=39 latency_ms=192
[00:04.942] trace=000235 cycle=11 regulatory.analyze status=complete confidence=0.91 evidence_paths=3 latency_ms=209
[00:04.972] trace=000236 cycle=11 public_sector.analyze status=complete confidence=0.98 evidence_paths=14 latency_ms=15
[00:04.986] trace=000237 cycle=11 research.analyze status=complete confidence=0.86 evidence_paths=25 latency_ms=32
[00:05.013] trace=000238 cycle=11 reconciliation.merge status=complete confidence=0.93 evidence_paths=36 latency_ms=49
[00:05.024] trace=000239 cycle=11 validation.run status=complete confidence=0.81 evidence_paths=47 latency_ms=66
[00:05.048] trace=000240 cycle=11 human_review.apply status=complete confidence=0.88 evidence_paths=11 latency_ms=83
[00:05.056] trace=000241 cycle=11 output.render status=complete confidence=0.95 evidence_paths=22 latency_ms=100
[00:05.077] trace=000242 cycle=11 audit.persist status=complete confidence=0.83 evidence_paths=33 latency_ms=117
[00:05.111] trace=000243 cycle=12 runtime.initialize status=complete confidence=0.90 evidence_paths=44 latency_ms=134
[00:05.129] trace=000244 cycle=12 model.load_shards status=complete confidence=0.97 evidence_paths=8 latency_ms=151
[00:05.160] trace=000245 cycle=12 tokenizer.compile_vocabulary status=complete confidence=0.85 evidence_paths=19 latency_ms=168
[00:05.175] trace=000246 cycle=12 scheduler.compile_execution_graph status=complete confidence=0.92 evidence_paths=30 latency_ms=185
[00:05.203] trace=000247 cycle=12 source.acquire status=complete confidence=0.80 evidence_paths=41 latency_ms=202
[00:05.215] trace=000248 cycle=12 document.normalize status=complete confidence=0.87 evidence_paths=5 latency_ms=219
[00:05.240] trace=000249 cycle=12 index.build status=complete confidence=0.94 evidence_paths=16 latency_ms=25
[00:05.249] trace=000250 cycle=12 retrieval.execute status=complete confidence=0.82 evidence_paths=27 latency_ms=42
[00:05.271] trace=000251 cycle=12 entity.resolve status=complete confidence=0.89 evidence_paths=38 latency_ms=59
[00:05.306] trace=000252 cycle=12 claim.extract status=complete confidence=0.96 evidence_paths=49 latency_ms=76
[00:05.325] trace=000253 cycle=12 metric.extract status=complete confidence=0.84 evidence_paths=13 latency_ms=93
[00:05.357] trace=000254 cycle=12 timeline.construct status=complete confidence=0.91 evidence_paths=24 latency_ms=110
[00:05.373] trace=000255 cycle=12 conflict.detect status=complete confidence=0.98 evidence_paths=35 latency_ms=127
[00:05.402] trace=000256 cycle=12 diligence.analyze status=complete confidence=0.86 evidence_paths=46 latency_ms=144
[00:05.415] trace=000257 cycle=12 regulatory.analyze status=complete confidence=0.93 evidence_paths=10 latency_ms=161
[00:05.441] trace=000258 cycle=12 public_sector.analyze status=complete confidence=0.81 evidence_paths=21 latency_ms=178
[00:05.451] trace=000259 cycle=12 research.analyze status=complete confidence=0.88 evidence_paths=32 latency_ms=195
[00:05.474] trace=000260 cycle=12 reconciliation.merge status=complete confidence=0.95 evidence_paths=43 latency_ms=212
[00:05.481] trace=000261 cycle=12 validation.run status=complete confidence=0.83 evidence_paths=7 latency_ms=18
[00:05.501] trace=000262 cycle=12 human_review.apply status=complete confidence=0.90 evidence_paths=18 latency_ms=35
[00:05.534] trace=000263 cycle=12 output.render status=complete confidence=0.97 evidence_paths=29 latency_ms=52
[00:05.551] trace=000264 cycle=12 audit.persist status=complete confidence=0.85 evidence_paths=40 latency_ms=69
[00:05.581] trace=000265 cycle=13 runtime.initialize status=complete confidence=0.92 evidence_paths=4 latency_ms=86
[00:05.595] trace=000266 cycle=13 model.load_shards status=complete confidence=0.80 evidence_paths=15 latency_ms=103
[00:05.622] trace=000267 cycle=13 tokenizer.compile_vocabulary status=complete confidence=0.87 evidence_paths=26 latency_ms=120
[00:05.633] trace=000268 cycle=13 scheduler.compile_execution_graph status=complete confidence=0.94 evidence_paths=37 latency_ms=137
[00:05.657] trace=000269 cycle=13 source.acquire status=complete confidence=0.82 evidence_paths=48 latency_ms=154
[00:05.665] trace=000270 cycle=13 document.normalize status=complete confidence=0.89 evidence_paths=12 latency_ms=171
[00:05.686] trace=000271 cycle=13 index.build status=complete confidence=0.96 evidence_paths=23 latency_ms=188
[00:05.720] trace=000272 cycle=13 retrieval.execute status=complete confidence=0.84 evidence_paths=34 latency_ms=205
[00:05.738] trace=000273 cycle=13 entity.resolve status=complete confidence=0.91 evidence_paths=45 latency_ms=222
[00:05.769] trace=000274 cycle=13 claim.extract status=complete confidence=0.98 evidence_paths=9 latency_ms=28
[00:05.784] trace=000275 cycle=13 metric.extract status=complete confidence=0.86 evidence_paths=20 latency_ms=45
[00:05.812] trace=000276 cycle=13 timeline.construct status=complete confidence=0.93 evidence_paths=31 latency_ms=62
[00:05.824] trace=000277 cycle=13 conflict.detect status=complete confidence=0.81 evidence_paths=42 latency_ms=79
[00:05.849] trace=000278 cycle=13 diligence.analyze status=complete confidence=0.88 evidence_paths=6 latency_ms=96
[00:05.858] trace=000279 cycle=13 regulatory.analyze status=complete confidence=0.95 evidence_paths=17 latency_ms=113
[00:05.880] trace=000280 cycle=13 public_sector.analyze status=complete confidence=0.83 evidence_paths=28 latency_ms=130
[00:05.915] trace=000281 cycle=13 research.analyze status=complete confidence=0.90 evidence_paths=39 latency_ms=147
[00:05.934] trace=000282 cycle=13 reconciliation.merge status=complete confidence=0.97 evidence_paths=3 latency_ms=164
[00:05.966] trace=000283 cycle=13 validation.run status=complete confidence=0.85 evidence_paths=14 latency_ms=181
[00:05.982] trace=000284 cycle=13 human_review.apply status=complete confidence=0.92 evidence_paths=25 latency_ms=198
[00:06.011] trace=000285 cycle=13 output.render status=complete confidence=0.80 evidence_paths=36 latency_ms=215
[00:06.024] trace=000286 cycle=13 audit.persist status=complete confidence=0.87 evidence_paths=47 latency_ms=21
[00:06.050] trace=000287 cycle=14 runtime.initialize status=complete confidence=0.94 evidence_paths=11 latency_ms=38
[00:06.060] trace=000288 cycle=14 model.load_shards status=complete confidence=0.82 evidence_paths=22 latency_ms=55
[00:06.083] trace=000289 cycle=14 tokenizer.compile_vocabulary status=complete confidence=0.89 evidence_paths=33 latency_ms=72
[00:06.090] trace=000290 cycle=14 scheduler.compile_execution_graph status=complete confidence=0.96 evidence_paths=44 latency_ms=89
[00:06.110] trace=000291 cycle=14 source.acquire status=complete confidence=0.84 evidence_paths=8 latency_ms=106
[00:06.143] trace=000292 cycle=14 document.normalize status=complete confidence=0.91 evidence_paths=19 latency_ms=123
[00:06.160] trace=000293 cycle=14 index.build status=complete confidence=0.98 evidence_paths=30 latency_ms=140
[00:06.190] trace=000294 cycle=14 retrieval.execute status=complete confidence=0.86 evidence_paths=41 latency_ms=157
[00:06.204] trace=000295 cycle=14 entity.resolve status=complete confidence=0.93 evidence_paths=5 latency_ms=174
[00:06.231] trace=000296 cycle=14 claim.extract status=complete confidence=0.81 evidence_paths=16 latency_ms=191
[00:06.242] trace=000297 cycle=14 metric.extract status=complete confidence=0.88 evidence_paths=27 latency_ms=208
[00:06.266] trace=000298 cycle=14 timeline.construct status=complete confidence=0.95 evidence_paths=38 latency_ms=14
[00:06.274] trace=000299 cycle=14 conflict.detect status=complete confidence=0.83 evidence_paths=49 latency_ms=31
[00:06.295] trace=000300 cycle=14 diligence.analyze status=complete confidence=0.90 evidence_paths=13 latency_ms=48
[00:06.329] trace=000301 cycle=14 regulatory.analyze status=complete confidence=0.97 evidence_paths=24 latency_ms=65
[00:06.347] trace=000302 cycle=14 public_sector.analyze status=complete confidence=0.85 evidence_paths=35 latency_ms=82
[00:06.378] trace=000303 cycle=14 research.analyze status=complete confidence=0.92 evidence_paths=46 latency_ms=99
[00:06.393] trace=000304 cycle=14 reconciliation.merge status=complete confidence=0.80 evidence_paths=10 latency_ms=116
[00:06.421] trace=000305 cycle=14 validation.run status=complete confidence=0.87 evidence_paths=21 latency_ms=133
[00:06.433] trace=000306 cycle=14 human_review.apply status=complete confidence=0.94 evidence_paths=32 latency_ms=150
[00:06.458] trace=000307 cycle=14 output.render status=complete confidence=0.82 evidence_paths=43 latency_ms=167
[00:06.467] trace=000308 cycle=14 audit.persist status=complete confidence=0.89 evidence_paths=7 latency_ms=184
[00:06.489] trace=000309 cycle=15 runtime.initialize status=complete confidence=0.96 evidence_paths=18 latency_ms=201
[00:06.524] trace=000310 cycle=15 model.load_shards status=complete confidence=0.84 evidence_paths=29 latency_ms=218
[00:06.543] trace=000311 cycle=15 tokenizer.compile_vocabulary status=complete confidence=0.91 evidence_paths=40 latency_ms=24
[00:06.575] trace=000312 cycle=15 scheduler.compile_execution_graph status=complete confidence=0.98 evidence_paths=4 latency_ms=41
[00:06.591] trace=000313 cycle=15 source.acquire status=complete confidence=0.86 evidence_paths=15 latency_ms=58
[00:06.620] trace=000314 cycle=15 document.normalize status=complete confidence=0.93 evidence_paths=26 latency_ms=75
[00:06.633] trace=000315 cycle=15 index.build status=complete confidence=0.81 evidence_paths=37 latency_ms=92
[00:06.659] trace=000316 cycle=15 retrieval.execute status=complete confidence=0.88 evidence_paths=48 latency_ms=109
[00:06.669] trace=000317 cycle=15 entity.resolve status=complete confidence=0.95 evidence_paths=12 latency_ms=126
[00:06.692] trace=000318 cycle=15 claim.extract status=complete confidence=0.83 evidence_paths=23 latency_ms=143
[00:06.699] trace=000319 cycle=15 metric.extract status=complete confidence=0.90 evidence_paths=34 latency_ms=160
[00:06.719] trace=000320 cycle=15 timeline.construct status=complete confidence=0.97 evidence_paths=45 latency_ms=177
[00:06.752] trace=000321 cycle=15 conflict.detect status=complete confidence=0.85 evidence_paths=9 latency_ms=194
[00:06.769] trace=000322 cycle=15 diligence.analyze status=complete confidence=0.92 evidence_paths=20 latency_ms=211
[00:06.799] trace=000323 cycle=15 regulatory.analyze status=complete confidence=0.80 evidence_paths=31 latency_ms=17
[00:06.813] trace=000324 cycle=15 public_sector.analyze status=complete confidence=0.87 evidence_paths=42 latency_ms=34
[00:06.840] trace=000325 cycle=15 research.analyze status=complete confidence=0.94 evidence_paths=6 latency_ms=51
[00:06.851] trace=000326 cycle=15 reconciliation.merge status=complete confidence=0.82 evidence_paths=17 latency_ms=68
[00:06.875] trace=000327 cycle=15 validation.run status=complete confidence=0.89 evidence_paths=28 latency_ms=85
[00:06.883] trace=000328 cycle=15 human_review.apply status=complete confidence=0.96 evidence_paths=39 latency_ms=102
[00:06.904] trace=000329 cycle=15 output.render status=complete confidence=0.84 evidence_paths=3 latency_ms=119
[00:06.938] trace=000330 cycle=15 audit.persist status=complete confidence=0.91 evidence_paths=14 latency_ms=136
[00:06.956] trace=000331 cycle=16 runtime.initialize status=complete confidence=0.98 evidence_paths=25 latency_ms=153
[00:06.987] trace=000332 cycle=16 model.load_shards status=complete confidence=0.86 evidence_paths=36 latency_ms=170
[00:07.002] trace=000333 cycle=16 tokenizer.compile_vocabulary status=complete confidence=0.93 evidence_paths=47 latency_ms=187
[00:07.030] trace=000334 cycle=16 scheduler.compile_execution_graph status=complete confidence=0.81 evidence_paths=11 latency_ms=204
[00:07.042] trace=000335 cycle=16 source.acquire status=complete confidence=0.88 evidence_paths=22 latency_ms=221
[00:07.067] trace=000336 cycle=16 document.normalize status=complete confidence=0.95 evidence_paths=33 latency_ms=27
[00:07.076] trace=000337 cycle=16 index.build status=complete confidence=0.83 evidence_paths=44 latency_ms=44
[00:07.098] trace=000338 cycle=16 retrieval.execute status=complete confidence=0.90 evidence_paths=8 latency_ms=61
[00:07.133] trace=000339 cycle=16 entity.resolve status=complete confidence=0.97 evidence_paths=19 latency_ms=78
[00:07.152] trace=000340 cycle=16 claim.extract status=complete confidence=0.85 evidence_paths=30 latency_ms=95
[00:07.184] trace=000341 cycle=16 metric.extract status=complete confidence=0.92 evidence_paths=41 latency_ms=112
[00:07.200] trace=000342 cycle=16 timeline.construct status=complete confidence=0.80 evidence_paths=5 latency_ms=129
[00:07.229] trace=000343 cycle=16 conflict.detect status=complete confidence=0.87 evidence_paths=16 latency_ms=146
[00:07.242] trace=000344 cycle=16 diligence.analyze status=complete confidence=0.94 evidence_paths=27 latency_ms=163
[00:07.268] trace=000345 cycle=16 regulatory.analyze status=complete confidence=0.82 evidence_paths=38 latency_ms=180
[00:07.278] trace=000346 cycle=16 public_sector.analyze status=complete confidence=0.89 evidence_paths=49 latency_ms=197
[00:07.301] trace=000347 cycle=16 research.analyze status=complete confidence=0.96 evidence_paths=13 latency_ms=214
[00:07.308] trace=000348 cycle=16 reconciliation.merge status=complete confidence=0.84 evidence_paths=24 latency_ms=20
[00:07.328] trace=000349 cycle=16 validation.run status=complete confidence=0.91 evidence_paths=35 latency_ms=37
[00:07.361] trace=000350 cycle=16 human_review.apply status=complete confidence=0.98 evidence_paths=46 latency_ms=54
[00:07.378] trace=000351 cycle=16 output.render status=complete confidence=0.86 evidence_paths=10 latency_ms=71
[00:07.408] trace=000352 cycle=16 audit.persist status=complete confidence=0.93 evidence_paths=21 latency_ms=88
[00:07.422] trace=000353 cycle=17 runtime.initialize status=complete confidence=0.81 evidence_paths=32 latency_ms=105
[00:07.449] trace=000354 cycle=17 model.load_shards status=complete confidence=0.88 evidence_paths=43 latency_ms=122
[00:07.460] trace=000355 cycle=17 tokenizer.compile_vocabulary status=complete confidence=0.95 evidence_paths=7 latency_ms=139
[00:07.484] trace=000356 cycle=17 scheduler.compile_execution_graph status=complete confidence=0.83 evidence_paths=18 latency_ms=156
[00:07.492] trace=000357 cycle=17 source.acquire status=complete confidence=0.90 evidence_paths=29 latency_ms=173
[00:07.513] trace=000358 cycle=17 document.normalize status=complete confidence=0.97 evidence_paths=40 latency_ms=190
[00:07.547] trace=000359 cycle=17 index.build status=complete confidence=0.85 evidence_paths=4 latency_ms=207
[00:07.565] trace=000360 cycle=17 retrieval.execute status=complete confidence=0.92 evidence_paths=15 latency_ms=13
[00:07.596] trace=000361 cycle=17 entity.resolve status=complete confidence=0.80 evidence_paths=26 latency_ms=30
[00:07.611] trace=000362 cycle=17 claim.extract status=complete confidence=0.87 evidence_paths=37 latency_ms=47
[00:07.639] trace=000363 cycle=17 metric.extract status=complete confidence=0.94 evidence_paths=48 latency_ms=64
[00:07.651] trace=000364 cycle=17 timeline.construct status=complete confidence=0.82 evidence_paths=12 latency_ms=81
[00:07.676] trace=000365 cycle=17 conflict.detect status=complete confidence=0.89 evidence_paths=23 latency_ms=98
[00:07.685] trace=000366 cycle=17 diligence.analyze status=complete confidence=0.96 evidence_paths=34 latency_ms=115
[00:07.707] trace=000367 cycle=17 regulatory.analyze status=complete confidence=0.84 evidence_paths=45 latency_ms=132
[00:07.742] trace=000368 cycle=17 public_sector.analyze status=complete confidence=0.91 evidence_paths=9 latency_ms=149
[00:07.761] trace=000369 cycle=17 research.analyze status=complete confidence=0.98 evidence_paths=20 latency_ms=166
[00:07.793] trace=000370 cycle=17 reconciliation.merge status=complete confidence=0.86 evidence_paths=31 latency_ms=183
[00:07.809] trace=000371 cycle=17 validation.run status=complete confidence=0.93 evidence_paths=42 latency_ms=200
[00:07.838] trace=000372 cycle=17 human_review.apply status=complete confidence=0.81 evidence_paths=6 latency_ms=217
[00:07.851] trace=000373 cycle=17 output.render status=complete confidence=0.88 evidence_paths=17 latency_ms=23
[00:07.877] trace=000374 cycle=17 audit.persist status=complete confidence=0.95 evidence_paths=28 latency_ms=40
[00:07.887] trace=000375 cycle=18 runtime.initialize status=complete confidence=0.83 evidence_paths=39 latency_ms=57
[00:07.910] trace=000376 cycle=18 model.load_shards status=complete confidence=0.90 evidence_paths=3 latency_ms=74
[00:07.917] trace=000377 cycle=18 tokenizer.compile_vocabulary status=complete confidence=0.97 evidence_paths=14 latency_ms=91
[00:07.937] trace=000378 cycle=18 scheduler.compile_execution_graph status=complete confidence=0.85 evidence_paths=25 latency_ms=108
[00:07.970] trace=000379 cycle=18 source.acquire status=complete confidence=0.92 evidence_paths=36 latency_ms=125
[00:07.987] trace=000380 cycle=18 document.normalize status=complete confidence=0.80 evidence_paths=47 latency_ms=142
[00:08.017] trace=000381 cycle=18 index.build status=complete confidence=0.87 evidence_paths=11 latency_ms=159
[00:08.031] trace=000382 cycle=18 retrieval.execute status=complete confidence=0.94 evidence_paths=22 latency_ms=176
[00:08.058] trace=000383 cycle=18 entity.resolve status=complete confidence=0.82 evidence_paths=33 latency_ms=193
[00:08.069] trace=000384 cycle=18 claim.extract status=complete confidence=0.89 evidence_paths=44 latency_ms=210
[00:08.093] trace=000385 cycle=18 metric.extract status=complete confidence=0.96 evidence_paths=8 latency_ms=16
[00:08.101] trace=000386 cycle=18 timeline.construct status=complete confidence=0.84 evidence_paths=19 latency_ms=33
[00:08.122] trace=000387 cycle=18 conflict.detect status=complete confidence=0.91 evidence_paths=30 latency_ms=50
[00:08.156] trace=000388 cycle=18 diligence.analyze status=complete confidence=0.98 evidence_paths=41 latency_ms=67
[00:08.174] trace=000389 cycle=18 regulatory.analyze status=complete confidence=0.86 evidence_paths=5 latency_ms=84
[00:08.205] trace=000390 cycle=18 public_sector.analyze status=complete confidence=0.93 evidence_paths=16 latency_ms=101
[00:08.220] trace=000391 cycle=18 research.analyze status=complete confidence=0.81 evidence_paths=27 latency_ms=118
[00:08.248] trace=000392 cycle=18 reconciliation.merge status=complete confidence=0.88 evidence_paths=38 latency_ms=135
[00:08.260] trace=000393 cycle=18 validation.run status=complete confidence=0.95 evidence_paths=49 latency_ms=152
[00:08.285] trace=000394 cycle=18 human_review.apply status=complete confidence=0.83 evidence_paths=13 latency_ms=169
[00:08.294] trace=000395 cycle=18 output.render status=complete confidence=0.90 evidence_paths=24 latency_ms=186
[00:08.316] trace=000396 cycle=18 audit.persist status=complete confidence=0.97 evidence_paths=35 latency_ms=203
[00:08.351] trace=000397 cycle=19 runtime.initialize status=complete confidence=0.85 evidence_paths=46 latency_ms=220
[00:08.370] trace=000398 cycle=19 model.load_shards status=complete confidence=0.92 evidence_paths=10 latency_ms=26
[00:08.402] trace=000399 cycle=19 tokenizer.compile_vocabulary status=complete confidence=0.80 evidence_paths=21 latency_ms=43
[00:08.418] trace=000400 cycle=19 scheduler.compile_execution_graph status=complete confidence=0.87 evidence_paths=32 latency_ms=60
[00:08.447] trace=000401 cycle=19 source.acquire status=complete confidence=0.94 evidence_paths=43 latency_ms=77
[00:08.460] trace=000402 cycle=19 document.normalize status=complete confidence=0.82 evidence_paths=7 latency_ms=94
[00:08.486] trace=000403 cycle=19 index.build status=complete confidence=0.89 evidence_paths=18 latency_ms=111
[00:08.496] trace=000404 cycle=19 retrieval.execute status=complete confidence=0.96 evidence_paths=29 latency_ms=128
[00:08.519] trace=000405 cycle=19 entity.resolve status=complete confidence=0.84 evidence_paths=40 latency_ms=145
[00:08.526] trace=000406 cycle=19 claim.extract status=complete confidence=0.91 evidence_paths=4 latency_ms=162
[00:08.546] trace=000407 cycle=19 metric.extract status=complete confidence=0.98 evidence_paths=15 latency_ms=179
[00:08.579] trace=000408 cycle=19 timeline.construct status=complete confidence=0.86 evidence_paths=26 latency_ms=196
[00:08.596] trace=000409 cycle=19 conflict.detect status=complete confidence=0.93 evidence_paths=37 latency_ms=213
[00:08.626] trace=000410 cycle=19 diligence.analyze status=complete confidence=0.81 evidence_paths=48 latency_ms=19
[00:08.640] trace=000411 cycle=19 regulatory.analyze status=complete confidence=0.88 evidence_paths=12 latency_ms=36
[00:08.667] trace=000412 cycle=19 public_sector.analyze status=complete confidence=0.95 evidence_paths=23 latency_ms=53
[00:08.678] trace=000413 cycle=19 research.analyze status=complete confidence=0.83 evidence_paths=34 latency_ms=70
[00:08.702] trace=000414 cycle=19 reconciliation.merge status=complete confidence=0.90 evidence_paths=45 latency_ms=87
[00:08.710] trace=000415 cycle=19 validation.run status=complete confidence=0.97 evidence_paths=9 latency_ms=104
[00:08.731] trace=000416 cycle=19 human_review.apply status=complete confidence=0.85 evidence_paths=20 latency_ms=121
[00:08.765] trace=000417 cycle=19 output.render status=complete confidence=0.92 evidence_paths=31 latency_ms=138
[00:08.783] trace=000418 cycle=19 audit.persist status=complete confidence=0.80 evidence_paths=42 latency_ms=155
[00:08.814] trace=000419 cycle=20 runtime.initialize status=complete confidence=0.87 evidence_paths=6 latency_ms=172
[00:08.829] trace=000420 cycle=20 model.load_shards status=complete confidence=0.94 evidence_paths=17 latency_ms=189
[00:08.857] trace=000421 cycle=20 tokenizer.compile_vocabulary status=complete confidence=0.82 evidence_paths=28 latency_ms=206
[00:08.869] trace=000422 cycle=20 scheduler.compile_execution_graph status=complete confidence=0.89 evidence_paths=39 latency_ms=12
[00:08.894] trace=000423 cycle=20 source.acquire status=complete confidence=0.96 evidence_paths=3 latency_ms=29
[00:08.903] trace=000424 cycle=20 document.normalize status=complete confidence=0.84 evidence_paths=14 latency_ms=46
[00:08.925] trace=000425 cycle=20 index.build status=complete confidence=0.91 evidence_paths=25 latency_ms=63
[00:08.960] trace=000426 cycle=20 retrieval.execute status=complete confidence=0.98 evidence_paths=36 latency_ms=80
[00:08.979] trace=000427 cycle=20 entity.resolve status=complete confidence=0.86 evidence_paths=47 latency_ms=97
[00:09.011] trace=000428 cycle=20 claim.extract status=complete confidence=0.93 evidence_paths=11 latency_ms=114
[00:09.027] trace=000429 cycle=20 metric.extract status=complete confidence=0.81 evidence_paths=22 latency_ms=131
[00:09.056] trace=000430 cycle=20 timeline.construct status=complete confidence=0.88 evidence_paths=33 latency_ms=148
[00:09.069] trace=000431 cycle=20 conflict.detect status=complete confidence=0.95 evidence_paths=44 latency_ms=165
[00:09.095] trace=000432 cycle=20 diligence.analyze status=complete confidence=0.83 evidence_paths=8 latency_ms=182
[00:09.105] trace=000433 cycle=20 regulatory.analyze status=complete confidence=0.90 evidence_paths=19 latency_ms=199
[00:09.128] trace=000434 cycle=20 public_sector.analyze status=complete confidence=0.97 evidence_paths=30 latency_ms=216
[00:09.135] trace=000435 cycle=20 research.analyze status=complete confidence=0.85 evidence_paths=41 latency_ms=22
[00:09.155] trace=000436 cycle=20 reconciliation.merge status=complete confidence=0.92 evidence_paths=5 latency_ms=39
[00:09.188] trace=000437 cycle=20 validation.run status=complete confidence=0.80 evidence_paths=16 latency_ms=56
[00:09.205] trace=000438 cycle=20 human_review.apply status=complete confidence=0.87 evidence_paths=27 latency_ms=73
[00:09.235] trace=000439 cycle=20 output.render status=complete confidence=0.94 evidence_paths=38 latency_ms=90
[00:09.249] trace=000440 cycle=20 audit.persist status=complete confidence=0.82 evidence_paths=49 latency_ms=107
[00:09.276] trace=000441 cycle=21 runtime.initialize status=complete confidence=0.89 evidence_paths=13 latency_ms=124
[00:09.287] trace=000442 cycle=21 model.load_shards status=complete confidence=0.96 evidence_paths=24 latency_ms=141
[00:09.311] trace=000443 cycle=21 tokenizer.compile_vocabulary status=complete confidence=0.84 evidence_paths=35 latency_ms=158
[00:09.319] trace=000444 cycle=21 scheduler.compile_execution_graph status=complete confidence=0.91 evidence_paths=46 latency_ms=175
[00:09.340] trace=000445 cycle=21 source.acquire status=complete confidence=0.98 evidence_paths=10 latency_ms=192
[00:09.374] trace=000446 cycle=21 document.normalize status=complete confidence=0.86 evidence_paths=21 latency_ms=209
[00:09.392] trace=000447 cycle=21 index.build status=complete confidence=0.93 evidence_paths=32 latency_ms=15
[00:09.423] trace=000448 cycle=21 retrieval.execute status=complete confidence=0.81 evidence_paths=43 latency_ms=32
[00:09.438] trace=000449 cycle=21 entity.resolve status=complete confidence=0.88 evidence_paths=7 latency_ms=49
[00:09.466] trace=000450 cycle=21 claim.extract status=complete confidence=0.95 evidence_paths=18 latency_ms=66
[00:09.478] trace=000451 cycle=21 metric.extract status=complete confidence=0.83 evidence_paths=29 latency_ms=83
[00:09.503] trace=000452 cycle=21 timeline.construct status=complete confidence=0.90 evidence_paths=40 latency_ms=100
[00:09.512] trace=000453 cycle=21 conflict.detect status=complete confidence=0.97 evidence_paths=4 latency_ms=117
[00:09.534] trace=000454 cycle=21 diligence.analyze status=complete confidence=0.85 evidence_paths=15 latency_ms=134
[00:09.569] trace=000455 cycle=21 regulatory.analyze status=complete confidence=0.92 evidence_paths=26 latency_ms=151
[00:09.588] trace=000456 cycle=21 public_sector.analyze status=complete confidence=0.80 evidence_paths=37 latency_ms=168
[00:09.620] trace=000457 cycle=21 research.analyze status=complete confidence=0.87 evidence_paths=48 latency_ms=185
[00:09.636] trace=000458 cycle=21 reconciliation.merge status=complete confidence=0.94 evidence_paths=12 latency_ms=202
[00:09.665] trace=000459 cycle=21 validation.run status=complete confidence=0.82 evidence_paths=23 latency_ms=219
[00:09.678] trace=000460 cycle=21 human_review.apply status=complete confidence=0.89 evidence_paths=34 latency_ms=25
[00:09.704] trace=000461 cycle=21 output.render status=complete confidence=0.96 evidence_paths=45 latency_ms=42
[00:09.714] trace=000462 cycle=21 audit.persist status=complete confidence=0.84 evidence_paths=9 latency_ms=59
[00:09.737] trace=000463 cycle=22 runtime.initialize status=complete confidence=0.91 evidence_paths=20 latency_ms=76
[00:09.744] trace=000464 cycle=22 model.load_shards status=complete confidence=0.98 evidence_paths=31 latency_ms=93
[00:09.764] trace=000465 cycle=22 tokenizer.compile_vocabulary status=complete confidence=0.86 evidence_paths=42 latency_ms=110
[00:09.797] trace=000466 cycle=22 scheduler.compile_execution_graph status=complete confidence=0.93 evidence_paths=6 latency_ms=127
[00:09.814] trace=000467 cycle=22 source.acquire status=complete confidence=0.81 evidence_paths=17 latency_ms=144
[00:09.844] trace=000468 cycle=22 document.normalize status=complete confidence=0.88 evidence_paths=28 latency_ms=161
[00:09.858] trace=000469 cycle=22 index.build status=complete confidence=0.95 evidence_paths=39 latency_ms=178
[00:09.885] trace=000470 cycle=22 retrieval.execute status=complete confidence=0.83 evidence_paths=3 latency_ms=195
[00:09.896] trace=000471 cycle=22 entity.resolve status=complete confidence=0.90 evidence_paths=14 latency_ms=212
[00:09.920] trace=000472 cycle=22 claim.extract status=complete confidence=0.97 evidence_paths=25 latency_ms=18
[00:09.928] trace=000473 cycle=22 metric.extract status=complete confidence=0.85 evidence_paths=36 latency_ms=35
[00:09.949] trace=000474 cycle=22 timeline.construct status=complete confidence=0.92 evidence_paths=47 latency_ms=52
[00:09.983] trace=000475 cycle=22 conflict.detect status=complete confidence=0.80 evidence_paths=11 latency_ms=69
[00:10.001] trace=000476 cycle=22 diligence.analyze status=complete confidence=0.87 evidence_paths=22 latency_ms=86
[00:10.032] trace=000477 cycle=22 regulatory.analyze status=complete confidence=0.94 evidence_paths=33 latency_ms=103
[00:10.047] trace=000478 cycle=22 public_sector.analyze status=complete confidence=0.82 evidence_paths=44 latency_ms=120
[00:10.075] trace=000479 cycle=22 research.analyze status=complete confidence=0.89 evidence_paths=8 latency_ms=137
[00:10.087] trace=000480 cycle=22 reconciliation.merge status=complete confidence=0.96 evidence_paths=19 latency_ms=154
[00:10.112] trace=000481 cycle=22 validation.run status=complete confidence=0.84 evidence_paths=30 latency_ms=171
[00:10.121] trace=000482 cycle=22 human_review.apply status=complete confidence=0.91 evidence_paths=41 latency_ms=188
[00:10.143] trace=000483 cycle=22 output.render status=complete confidence=0.98 evidence_paths=5 latency_ms=205
[00:10.178] trace=000484 cycle=22 audit.persist status=complete confidence=0.86 evidence_paths=16 latency_ms=222
[00:10.197] trace=000485 cycle=23 runtime.initialize status=complete confidence=0.93 evidence_paths=27 latency_ms=28
[00:10.229] trace=000486 cycle=23 model.load_shards status=complete confidence=0.81 evidence_paths=38 latency_ms=45
[00:10.245] trace=000487 cycle=23 tokenizer.compile_vocabulary status=complete confidence=0.88 evidence_paths=49 latency_ms=62
[00:10.274] trace=000488 cycle=23 scheduler.compile_execution_graph status=complete confidence=0.95 evidence_paths=13 latency_ms=79
[00:10.287] trace=000489 cycle=23 source.acquire status=complete confidence=0.83 evidence_paths=24 latency_ms=96
[00:10.313] trace=000490 cycle=23 document.normalize status=complete confidence=0.90 evidence_paths=35 latency_ms=113
[00:10.323] trace=000491 cycle=23 index.build status=complete confidence=0.97 evidence_paths=46 latency_ms=130
[00:10.346] trace=000492 cycle=23 retrieval.execute status=complete confidence=0.85 evidence_paths=10 latency_ms=147
[00:10.353] trace=000493 cycle=23 entity.resolve status=complete confidence=0.92 evidence_paths=21 latency_ms=164
[00:10.373] trace=000494 cycle=23 claim.extract status=complete confidence=0.80 evidence_paths=32 latency_ms=181
[00:10.406] trace=000495 cycle=23 metric.extract status=complete confidence=0.87 evidence_paths=43 latency_ms=198
[00:10.423] trace=000496 cycle=23 timeline.construct status=complete confidence=0.94 evidence_paths=7 latency_ms=215
[00:10.453] trace=000497 cycle=23 conflict.detect status=complete confidence=0.82 evidence_paths=18 latency_ms=21
[00:10.467] trace=000498 cycle=23 diligence.analyze status=complete confidence=0.89 evidence_paths=29 latency_ms=38
[00:10.494] trace=000499 cycle=23 regulatory.analyze status=complete confidence=0.96 evidence_paths=40 latency_ms=55
[00:10.505] trace=000500 cycle=23 public_sector.analyze status=complete confidence=0.84 evidence_paths=4 latency_ms=72
[00:10.529] trace=000501 cycle=23 research.analyze status=complete confidence=0.91 evidence_paths=15 latency_ms=89
[00:10.537] trace=000502 cycle=23 reconciliation.merge status=complete confidence=0.98 evidence_paths=26 latency_ms=106
[00:10.558] trace=000503 cycle=23 validation.run status=complete confidence=0.86 evidence_paths=37 latency_ms=123
[00:10.592] trace=000504 cycle=23 human_review.apply status=complete confidence=0.93 evidence_paths=48 latency_ms=140
[00:10.610] trace=000505 cycle=23 output.render status=complete confidence=0.81 evidence_paths=12 latency_ms=157
[00:10.641] trace=000506 cycle=23 audit.persist status=complete confidence=0.88 evidence_paths=23 latency_ms=174
[00:10.656] trace=000507 cycle=24 runtime.initialize status=complete confidence=0.95 evidence_paths=34 latency_ms=191
[00:10.684] trace=000508 cycle=24 model.load_shards status=complete confidence=0.83 evidence_paths=45 latency_ms=208
[00:10.696] trace=000509 cycle=24 tokenizer.compile_vocabulary status=complete confidence=0.90 evidence_paths=9 latency_ms=14
[00:10.721] trace=000510 cycle=24 scheduler.compile_execution_graph status=complete confidence=0.97 evidence_paths=20 latency_ms=31
[00:10.730] trace=000511 cycle=24 source.acquire status=complete confidence=0.85 evidence_paths=31 latency_ms=48
[00:10.752] trace=000512 cycle=24 document.normalize status=complete confidence=0.92 evidence_paths=42 latency_ms=65
[00:10.787] trace=000513 cycle=24 index.build status=complete confidence=0.80 evidence_paths=6 latency_ms=82
[00:10.806] trace=000514 cycle=24 retrieval.execute status=complete confidence=0.87 evidence_paths=17 latency_ms=99
[00:10.838] trace=000515 cycle=24 entity.resolve status=complete confidence=0.94 evidence_paths=28 latency_ms=116
[00:10.854] trace=000516 cycle=24 claim.extract status=complete confidence=0.82 evidence_paths=39 latency_ms=133
[00:10.883] trace=000517 cycle=24 metric.extract status=complete confidence=0.89 evidence_paths=3 latency_ms=150
[00:10.896] trace=000518 cycle=24 timeline.construct status=complete confidence=0.96 evidence_paths=14 latency_ms=167
[00:10.922] trace=000519 cycle=24 conflict.detect status=complete confidence=0.84 evidence_paths=25 latency_ms=184
[00:10.932] trace=000520 cycle=24 diligence.analyze status=complete confidence=0.91 evidence_paths=36 latency_ms=201
[00:10.955] trace=000521 cycle=24 regulatory.analyze status=complete confidence=0.98 evidence_paths=47 latency_ms=218
[00:10.962] trace=000522 cycle=24 public_sector.analyze status=complete confidence=0.86 evidence_paths=11 latency_ms=24
[00:10.982] trace=000523 cycle=24 research.analyze status=complete confidence=0.93 evidence_paths=22 latency_ms=41
[00:11.015] trace=000524 cycle=24 reconciliation.merge status=complete confidence=0.81 evidence_paths=33 latency_ms=58
[00:11.032] trace=000525 cycle=24 validation.run status=complete confidence=0.88 evidence_paths=44 latency_ms=75
[00:11.062] trace=000526 cycle=24 human_review.apply status=complete confidence=0.95 evidence_paths=8 latency_ms=92
[00:11.076] trace=000527 cycle=24 output.render status=complete confidence=0.83 evidence_paths=19 latency_ms=109
[00:11.103] trace=000528 cycle=24 audit.persist status=complete confidence=0.90 evidence_paths=30 latency_ms=126
[00:11.114] trace=000529 cycle=25 runtime.initialize status=complete confidence=0.97 evidence_paths=41 latency_ms=143
[00:11.138] trace=000530 cycle=25 model.load_shards status=complete confidence=0.85 evidence_paths=5 latency_ms=160
[00:11.146] trace=000531 cycle=25 tokenizer.compile_vocabulary status=complete confidence=0.92 evidence_paths=16 latency_ms=177
[00:11.167] trace=000532 cycle=25 scheduler.compile_execution_graph status=complete confidence=0.80 evidence_paths=27 latency_ms=194
[00:11.201] trace=000533 cycle=25 source.acquire status=complete confidence=0.87 evidence_paths=38 latency_ms=211
[00:11.219] trace=000534 cycle=25 document.normalize status=complete confidence=0.94 evidence_paths=49 latency_ms=17
[00:11.250] trace=000535 cycle=25 index.build status=complete confidence=0.82 evidence_paths=13 latency_ms=34
[00:11.265] trace=000536 cycle=25 retrieval.execute status=complete confidence=0.89 evidence_paths=24 latency_ms=51
[00:11.293] trace=000537 cycle=25 entity.resolve status=complete confidence=0.96 evidence_paths=35 latency_ms=68
[00:11.305] trace=000538 cycle=25 claim.extract status=complete confidence=0.84 evidence_paths=46 latency_ms=85
[00:11.330] trace=000539 cycle=25 metric.extract status=complete confidence=0.91 evidence_paths=10 latency_ms=102
[00:11.339] trace=000540 cycle=25 timeline.construct status=complete confidence=0.98 evidence_paths=21 latency_ms=119
[00:11.361] trace=000541 cycle=25 conflict.detect status=complete confidence=0.86 evidence_paths=32 latency_ms=136
[00:11.396] trace=000542 cycle=25 diligence.analyze status=complete confidence=0.93 evidence_paths=43 latency_ms=153
[00:11.415] trace=000543 cycle=25 regulatory.analyze status=complete confidence=0.81 evidence_paths=7 latency_ms=170
[00:11.447] trace=000544 cycle=25 public_sector.analyze status=complete confidence=0.88 evidence_paths=18 latency_ms=187
[00:11.463] trace=000545 cycle=25 research.analyze status=complete confidence=0.95 evidence_paths=29 latency_ms=204
[00:11.492] trace=000546 cycle=25 reconciliation.merge status=complete confidence=0.83 evidence_paths=40 latency_ms=221
[00:11.505] trace=000547 cycle=25 validation.run status=complete confidence=0.90 evidence_paths=4 latency_ms=27
[00:11.531] trace=000548 cycle=25 human_review.apply status=complete confidence=0.97 evidence_paths=15 latency_ms=44
[00:11.541] trace=000549 cycle=25 output.render status=complete confidence=0.85 evidence_paths=26 latency_ms=61
[00:11.564] trace=000550 cycle=25 audit.persist status=complete confidence=0.92 evidence_paths=37 latency_ms=78
[00:11.571] trace=000551 cycle=26 runtime.initialize status=complete confidence=0.80 evidence_paths=48 latency_ms=95
[00:11.591] trace=000552 cycle=26 model.load_shards status=complete confidence=0.87 evidence_paths=12 latency_ms=112
[00:11.624] trace=000553 cycle=26 tokenizer.compile_vocabulary status=complete confidence=0.94 evidence_paths=23 latency_ms=129
[00:11.641] trace=000554 cycle=26 scheduler.compile_execution_graph status=complete confidence=0.82 evidence_paths=34 latency_ms=146
[00:11.671] trace=000555 cycle=26 source.acquire status=complete confidence=0.89 evidence_paths=45 latency_ms=163
[00:11.685] trace=000556 cycle=26 document.normalize status=complete confidence=0.96 evidence_paths=9 latency_ms=180
[00:11.712] trace=000557 cycle=26 index.build status=complete confidence=0.84 evidence_paths=20 latency_ms=197
[00:11.723] trace=000558 cycle=26 retrieval.execute status=complete confidence=0.91 evidence_paths=31 latency_ms=214
[00:11.747] trace=000559 cycle=26 entity.resolve status=complete confidence=0.98 evidence_paths=42 latency_ms=20
[00:11.755] trace=000560 cycle=26 claim.extract status=complete confidence=0.86 evidence_paths=6 latency_ms=37
[00:11.776] trace=000561 cycle=26 metric.extract status=complete confidence=0.93 evidence_paths=17 latency_ms=54
[00:11.810] trace=000562 cycle=26 timeline.construct status=complete confidence=0.81 evidence_paths=28 latency_ms=71
[00:11.828] trace=000563 cycle=26 conflict.detect status=complete confidence=0.88 evidence_paths=39 latency_ms=88
[00:11.859] trace=000564 cycle=26 diligence.analyze status=complete confidence=0.95 evidence_paths=3 latency_ms=105
[00:11.874] trace=000565 cycle=26 regulatory.analyze status=complete confidence=0.83 evidence_paths=14 latency_ms=122
[00:11.902] trace=000566 cycle=26 public_sector.analyze status=complete confidence=0.90 evidence_paths=25 latency_ms=139
[00:11.914] trace=000567 cycle=26 research.analyze status=complete confidence=0.97 evidence_paths=36 latency_ms=156
[00:11.939] trace=000568 cycle=26 reconciliation.merge status=complete confidence=0.85 evidence_paths=47 latency_ms=173
[00:11.948] trace=000569 cycle=26 validation.run status=complete confidence=0.92 evidence_paths=11 latency_ms=190
[00:11.970] trace=000570 cycle=26 human_review.apply status=complete confidence=0.80 evidence_paths=22 latency_ms=207
[00:12.005] trace=000571 cycle=26 output.render status=complete confidence=0.87 evidence_paths=33 latency_ms=13
[00:12.024] trace=000572 cycle=26 audit.persist status=complete confidence=0.94 evidence_paths=44 latency_ms=30
[00:12.056] trace=000573 cycle=27 runtime.initialize status=complete confidence=0.82 evidence_paths=8 latency_ms=47
[00:12.072] trace=000574 cycle=27 model.load_shards status=complete confidence=0.89 evidence_paths=19 latency_ms=64
[00:12.101] trace=000575 cycle=27 tokenizer.compile_vocabulary status=complete confidence=0.96 evidence_paths=30 latency_ms=81
[00:12.114] trace=000576 cycle=27 scheduler.compile_execution_graph status=complete confidence=0.84 evidence_paths=41 latency_ms=98
[00:12.140] trace=000577 cycle=27 source.acquire status=complete confidence=0.91 evidence_paths=5 latency_ms=115
[00:12.150] trace=000578 cycle=27 document.normalize status=complete confidence=0.98 evidence_paths=16 latency_ms=132
[00:12.173] trace=000579 cycle=27 index.build status=complete confidence=0.86 evidence_paths=27 latency_ms=149
[00:12.180] trace=000580 cycle=27 retrieval.execute status=complete confidence=0.93 evidence_paths=38 latency_ms=166
[00:12.200] trace=000581 cycle=27 entity.resolve status=complete confidence=0.81 evidence_paths=49 latency_ms=183
[00:12.233] trace=000582 cycle=27 claim.extract status=complete confidence=0.88 evidence_paths=13 latency_ms=200
[00:12.250] trace=000583 cycle=27 metric.extract status=complete confidence=0.95 evidence_paths=24 latency_ms=217
[00:12.280] trace=000584 cycle=27 timeline.construct status=complete confidence=0.83 evidence_paths=35 latency_ms=23
[00:12.294] trace=000585 cycle=27 conflict.detect status=complete confidence=0.90 evidence_paths=46 latency_ms=40
[00:12.321] trace=000586 cycle=27 diligence.analyze status=complete confidence=0.97 evidence_paths=10 latency_ms=57
[00:12.332] trace=000587 cycle=27 regulatory.analyze status=complete confidence=0.85 evidence_paths=21 latency_ms=74
[00:12.356] trace=000588 cycle=27 public_sector.analyze status=complete confidence=0.92 evidence_paths=32 latency_ms=91
[00:12.364] trace=000589 cycle=27 research.analyze status=complete confidence=0.80 evidence_paths=43 latency_ms=108
[00:12.385] trace=000590 cycle=27 reconciliation.merge status=complete confidence=0.87 evidence_paths=7 latency_ms=125
[00:12.419] trace=000591 cycle=27 validation.run status=complete confidence=0.94 evidence_paths=18 latency_ms=142
[00:12.437] trace=000592 cycle=27 human_review.apply status=complete confidence=0.82 evidence_paths=29 latency_ms=159
[00:12.468] trace=000593 cycle=27 output.render status=complete confidence=0.89 evidence_paths=40 latency_ms=176
[00:12.483] trace=000594 cycle=27 audit.persist status=complete confidence=0.96 evidence_paths=4 latency_ms=193
[00:12.511] trace=000595 cycle=28 runtime.initialize status=complete confidence=0.84 evidence_paths=15 latency_ms=210
[00:12.523] trace=000596 cycle=28 model.load_shards status=complete confidence=0.91 evidence_paths=26 latency_ms=16
[00:12.548] trace=000597 cycle=28 tokenizer.compile_vocabulary status=complete confidence=0.98 evidence_paths=37 latency_ms=33
[00:12.557] trace=000598 cycle=28 scheduler.compile_execution_graph status=complete confidence=0.86 evidence_paths=48 latency_ms=50
[00:12.579] trace=000599 cycle=28 source.acquire status=complete confidence=0.93 evidence_paths=12 latency_ms=67
[00:12.614] trace=000600 cycle=28 document.normalize status=complete confidence=0.81 evidence_paths=23 latency_ms=84
[00:12.633] trace=000601 cycle=28 index.build status=complete confidence=0.88 evidence_paths=34 latency_ms=101
[00:12.665] trace=000602 cycle=28 retrieval.execute status=complete confidence=0.95 evidence_paths=45 latency_ms=118
[00:12.681] trace=000603 cycle=28 entity.resolve status=complete confidence=0.83 evidence_paths=9 latency_ms=135
[00:12.710] trace=000604 cycle=28 claim.extract status=complete confidence=0.90 evidence_paths=20 latency_ms=152
[00:12.723] trace=000605 cycle=28 metric.extract status=complete confidence=0.97 evidence_paths=31 latency_ms=169
[00:12.749] trace=000606 cycle=28 timeline.construct status=complete confidence=0.85 evidence_paths=42 latency_ms=186
[00:12.759] trace=000607 cycle=28 conflict.detect status=complete confidence=0.92 evidence_paths=6 latency_ms=203
[00:12.782] trace=000608 cycle=28 diligence.analyze status=complete confidence=0.80 evidence_paths=17 latency_ms=220
[00:12.789] trace=000609 cycle=28 regulatory.analyze status=complete confidence=0.87 evidence_paths=28 latency_ms=26
[00:12.809] trace=000610 cycle=28 public_sector.analyze status=complete confidence=0.94 evidence_paths=39 latency_ms=43
[00:12.842] trace=000611 cycle=28 research.analyze status=complete confidence=0.82 evidence_paths=3 latency_ms=60
[00:12.859] trace=000612 cycle=28 reconciliation.merge status=complete confidence=0.89 evidence_paths=14 latency_ms=77
[00:12.889] trace=000613 cycle=28 validation.run status=complete confidence=0.96 evidence_paths=25 latency_ms=94
[00:12.903] trace=000614 cycle=28 human_review.apply status=complete confidence=0.84 evidence_paths=36 latency_ms=111
[00:12.930] trace=000615 cycle=28 output.render status=complete confidence=0.91 evidence_paths=47 latency_ms=128
[00:12.941] trace=000616 cycle=28 audit.persist status=complete confidence=0.98 evidence_paths=11 latency_ms=145
[00:12.965] trace=000617 cycle=29 runtime.initialize status=complete confidence=0.86 evidence_paths=22 latency_ms=162
[00:12.973] trace=000618 cycle=29 model.load_shards status=complete confidence=0.93 evidence_paths=33 latency_ms=179
[00:12.994] trace=000619 cycle=29 tokenizer.compile_vocabulary status=complete confidence=0.81 evidence_paths=44 latency_ms=196
[00:13.028] trace=000620 cycle=29 scheduler.compile_execution_graph status=complete confidence=0.88 evidence_paths=8 latency_ms=213
[00:13.046] trace=000621 cycle=29 source.acquire status=complete confidence=0.95 evidence_paths=19 latency_ms=19
[00:13.077] trace=000622 cycle=29 document.normalize status=complete confidence=0.83 evidence_paths=30 latency_ms=36
[00:13.092] trace=000623 cycle=29 index.build status=complete confidence=0.90 evidence_paths=41 latency_ms=53
[00:13.120] trace=000624 cycle=29 retrieval.execute status=complete confidence=0.97 evidence_paths=5 latency_ms=70
[00:13.132] trace=000625 cycle=29 entity.resolve status=complete confidence=0.85 evidence_paths=16 latency_ms=87
[00:13.157] trace=000626 cycle=29 claim.extract status=complete confidence=0.92 evidence_paths=27 latency_ms=104
[00:13.166] trace=000627 cycle=29 metric.extract status=complete confidence=0.80 evidence_paths=38 latency_ms=121
[00:13.188] trace=000628 cycle=29 timeline.construct status=complete confidence=0.87 evidence_paths=49 latency_ms=138
[00:13.223] trace=000629 cycle=29 conflict.detect status=complete confidence=0.94 evidence_paths=13 latency_ms=155
[00:13.242] trace=000630 cycle=29 diligence.analyze status=complete confidence=0.82 evidence_paths=24 latency_ms=172
[00:13.274] trace=000631 cycle=29 regulatory.analyze status=complete confidence=0.89 evidence_paths=35 latency_ms=189
[00:13.290] trace=000632 cycle=29 public_sector.analyze status=complete confidence=0.96 evidence_paths=46 latency_ms=206
[00:13.319] trace=000633 cycle=29 research.analyze status=complete confidence=0.84 evidence_paths=10 latency_ms=12
[00:13.332] trace=000634 cycle=29 reconciliation.merge status=complete confidence=0.91 evidence_paths=21 latency_ms=29
[00:13.358] trace=000635 cycle=29 validation.run status=complete confidence=0.98 evidence_paths=32 latency_ms=46
[00:13.368] trace=000636 cycle=29 human_review.apply status=complete confidence=0.86 evidence_paths=43 latency_ms=63
[00:13.391] trace=000637 cycle=29 output.render status=complete confidence=0.93 evidence_paths=7 latency_ms=80
[00:13.398] trace=000638 cycle=29 audit.persist status=complete confidence=0.81 evidence_paths=18 latency_ms=97
[00:13.418] trace=000639 cycle=30 runtime.initialize status=complete confidence=0.88 evidence_paths=29 latency_ms=114
[00:13.451] trace=000640 cycle=30 model.load_shards status=complete confidence=0.95 evidence_paths=40 latency_ms=131
[00:13.468] trace=000641 cycle=30 tokenizer.compile_vocabulary status=complete confidence=0.83 evidence_paths=4 latency_ms=148
[00:13.498] trace=000642 cycle=30 scheduler.compile_execution_graph status=complete confidence=0.90 evidence_paths=15 latency_ms=165
[00:13.512] trace=000643 cycle=30 source.acquire status=complete confidence=0.97 evidence_paths=26 latency_ms=182
[00:13.539] trace=000644 cycle=30 document.normalize status=complete confidence=0.85 evidence_paths=37 latency_ms=199
[00:13.550] trace=000645 cycle=30 index.build status=complete confidence=0.92 evidence_paths=48 latency_ms=216
[00:13.574] trace=000646 cycle=30 retrieval.execute status=complete confidence=0.80 evidence_paths=12 latency_ms=22
[00:13.582] trace=000647 cycle=30 entity.resolve status=complete confidence=0.87 evidence_paths=23 latency_ms=39
[00:13.603] trace=000648 cycle=30 claim.extract status=complete confidence=0.94 evidence_paths=34 latency_ms=56
[00:13.637] trace=000649 cycle=30 metric.extract status=complete confidence=0.82 evidence_paths=45 latency_ms=73
[00:13.655] trace=000650 cycle=30 timeline.construct status=complete confidence=0.89 evidence_paths=9 latency_ms=90
[00:13.686] trace=000651 cycle=30 conflict.detect status=complete confidence=0.96 evidence_paths=20 latency_ms=107
[00:13.701] trace=000652 cycle=30 diligence.analyze status=complete confidence=0.84 evidence_paths=31 latency_ms=124
[00:13.729] trace=000653 cycle=30 regulatory.analyze status=complete confidence=0.91 evidence_paths=42 latency_ms=141
[00:13.741] trace=000654 cycle=30 public_sector.analyze status=complete confidence=0.98 evidence_paths=6 latency_ms=158
[00:13.766] trace=000655 cycle=30 research.analyze status=complete confidence=0.86 evidence_paths=17 latency_ms=175
[00:13.775] trace=000656 cycle=30 reconciliation.merge status=complete confidence=0.93 evidence_paths=28 latency_ms=192
[00:13.797] trace=000657 cycle=30 validation.run status=complete confidence=0.81 evidence_paths=39 latency_ms=209
[00:13.832] trace=000658 cycle=30 human_review.apply status=complete confidence=0.88 evidence_paths=3 latency_ms=15
[00:13.851] trace=000659 cycle=30 output.render status=complete confidence=0.95 evidence_paths=14 latency_ms=32
[00:13.883] trace=000660 cycle=30 audit.persist status=complete confidence=0.83 evidence_paths=25 latency_ms=49
[00:13.899] trace=000661 cycle=31 runtime.initialize status=complete confidence=0.90 evidence_paths=36 latency_ms=66
[00:13.928] trace=000662 cycle=31 model.load_shards status=complete confidence=0.97 evidence_paths=47 latency_ms=83
[00:13.941] trace=000663 cycle=31 tokenizer.compile_vocabulary status=complete confidence=0.85 evidence_paths=11 latency_ms=100
[00:13.967] trace=000664 cycle=31 scheduler.compile_execution_graph status=complete confidence=0.92 evidence_paths=22 latency_ms=117
[00:13.977] trace=000665 cycle=31 source.acquire status=complete confidence=0.80 evidence_paths=33 latency_ms=134
[00:14.000] trace=000666 cycle=31 document.normalize status=complete confidence=0.87 evidence_paths=44 latency_ms=151
[00:14.007] trace=000667 cycle=31 index.build status=complete confidence=0.94 evidence_paths=8 latency_ms=168
[00:14.027] trace=000668 cycle=31 retrieval.execute status=complete confidence=0.82 evidence_paths=19 latency_ms=185
[00:14.060] trace=000669 cycle=31 entity.resolve status=complete confidence=0.89 evidence_paths=30 latency_ms=202
[00:14.077] trace=000670 cycle=31 claim.extract status=complete confidence=0.96 evidence_paths=41 latency_ms=219
[00:14.107] trace=000671 cycle=31 metric.extract status=complete confidence=0.84 evidence_paths=5 latency_ms=25
[00:14.121] trace=000672 cycle=31 timeline.construct status=complete confidence=0.91 evidence_paths=16 latency_ms=42
[00:14.148] trace=000673 cycle=31 conflict.detect status=complete confidence=0.98 evidence_paths=27 latency_ms=59
[00:14.159] trace=000674 cycle=31 diligence.analyze status=complete confidence=0.86 evidence_paths=38 latency_ms=76
[00:14.183] trace=000675 cycle=31 regulatory.analyze status=complete confidence=0.93 evidence_paths=49 latency_ms=93
[00:14.191] trace=000676 cycle=31 public_sector.analyze status=complete confidence=0.81 evidence_paths=13 latency_ms=110
[00:14.212] trace=000677 cycle=31 research.analyze status=complete confidence=0.88 evidence_paths=24 latency_ms=127
[00:14.246] trace=000678 cycle=31 reconciliation.merge status=complete confidence=0.95 evidence_paths=35 latency_ms=144
[00:14.264] trace=000679 cycle=31 validation.run status=complete confidence=0.83 evidence_paths=46 latency_ms=161
[00:14.295] trace=000680 cycle=31 human_review.apply status=complete confidence=0.90 evidence_paths=10 latency_ms=178
[00:14.310] trace=000681 cycle=31 output.render status=complete confidence=0.97 evidence_paths=21 latency_ms=195
[00:14.338] trace=000682 cycle=31 audit.persist status=complete confidence=0.85 evidence_paths=32 latency_ms=212
[00:14.350] trace=000683 cycle=32 runtime.initialize status=complete confidence=0.92 evidence_paths=43 latency_ms=18
[00:14.375] trace=000684 cycle=32 model.load_shards status=complete confidence=0.80 evidence_paths=7 latency_ms=35
[00:14.384] trace=000685 cycle=32 tokenizer.compile_vocabulary status=complete confidence=0.87 evidence_paths=18 latency_ms=52
[00:14.406] trace=000686 cycle=32 scheduler.compile_execution_graph status=complete confidence=0.94 evidence_paths=29 latency_ms=69
[00:14.441] trace=000687 cycle=32 source.acquire status=complete confidence=0.82 evidence_paths=40 latency_ms=86
[00:14.460] trace=000688 cycle=32 document.normalize status=complete confidence=0.89 evidence_paths=4 latency_ms=103
[00:14.492] trace=000689 cycle=32 index.build status=complete confidence=0.96 evidence_paths=15 latency_ms=120
[00:14.508] trace=000690 cycle=32 retrieval.execute status=complete confidence=0.84 evidence_paths=26 latency_ms=137
[00:14.537] trace=000691 cycle=32 entity.resolve status=complete confidence=0.91 evidence_paths=37 latency_ms=154
[00:14.550] trace=000692 cycle=32 claim.extract status=complete confidence=0.98 evidence_paths=48 latency_ms=171
[00:14.576] trace=000693 cycle=32 metric.extract status=complete confidence=0.86 evidence_paths=12 latency_ms=188
[00:14.586] trace=000694 cycle=32 timeline.construct status=complete confidence=0.93 evidence_paths=23 latency_ms=205
[00:14.609] trace=000695 cycle=32 conflict.detect status=complete confidence=0.81 evidence_paths=34 latency_ms=222
[00:14.616] trace=000696 cycle=32 diligence.analyze status=complete confidence=0.88 evidence_paths=45 latency_ms=28
[00:14.636] trace=000697 cycle=32 regulatory.analyze status=complete confidence=0.95 evidence_paths=9 latency_ms=45
[00:14.669] trace=000698 cycle=32 public_sector.analyze status=complete confidence=0.83 evidence_paths=20 latency_ms=62
[00:14.686] trace=000699 cycle=32 research.analyze status=complete confidence=0.90 evidence_paths=31 latency_ms=79
[00:14.716] trace=000700 cycle=32 reconciliation.merge status=complete confidence=0.97 evidence_paths=42 latency_ms=96
[00:14.730] trace=000701 cycle=32 validation.run status=complete confidence=0.85 evidence_paths=6 latency_ms=113
[00:14.757] trace=000702 cycle=32 human_review.apply status=complete confidence=0.92 evidence_paths=17 latency_ms=130
[00:14.768] trace=000703 cycle=32 output.render status=complete confidence=0.80 evidence_paths=28 latency_ms=147
[00:14.792] trace=000704 cycle=32 audit.persist status=complete confidence=0.87 evidence_paths=39 latency_ms=164
/* ============================================================================================ */
/* PER-LAYER TOKEN FLOW TRACE
/* ============================================================================================ */
[00:14.800] model.layer=00 phase=rms_norm_attention status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:14.813] model.layer=00 phase=qkv_projection status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:14.820] model.layer=00 phase=rotary_position_encoding status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:14.832] model.layer=00 phase=paged_kv_cache_append status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:14.838] model.layer=00 phase=flash_attention status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:14.849] model.layer=00 phase=attention_output_projection status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:14.854] model.layer=00 phase=residual_merge status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:14.864] model.layer=00 phase=rms_norm_expert status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:14.868] model.layer=00 phase=expert_router_topk status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:14.877] model.layer=00 phase=expert_dispatch status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:14.880] model.layer=00 phase=silu_gated_mlp status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:14.888] model.layer=00 phase=expert_combine status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:14.901] model.layer=00 phase=residual_commit status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:14.908] model.layer=00 phase=activation_guard status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:14.920] model.layer=01 phase=rms_norm_attention status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:14.926] model.layer=01 phase=qkv_projection status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:14.937] model.layer=01 phase=rotary_position_encoding status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:14.942] model.layer=01 phase=paged_kv_cache_append status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:14.952] model.layer=01 phase=flash_attention status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:14.956] model.layer=01 phase=attention_output_projection status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:14.965] model.layer=01 phase=residual_merge status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:14.968] model.layer=01 phase=rms_norm_expert status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:14.976] model.layer=01 phase=expert_router_topk status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:14.989] model.layer=01 phase=expert_dispatch status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:14.996] model.layer=01 phase=silu_gated_mlp status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.008] model.layer=01 phase=expert_combine status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.014] model.layer=01 phase=residual_commit status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.025] model.layer=01 phase=activation_guard status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.030] model.layer=02 phase=rms_norm_attention status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.040] model.layer=02 phase=qkv_projection status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.044] model.layer=02 phase=rotary_position_encoding status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.053] model.layer=02 phase=paged_kv_cache_append status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.056] model.layer=02 phase=flash_attention status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.064] model.layer=02 phase=attention_output_projection status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.077] model.layer=02 phase=residual_merge status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.084] model.layer=02 phase=rms_norm_expert status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.096] model.layer=02 phase=expert_router_topk status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.102] model.layer=02 phase=expert_dispatch status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.113] model.layer=02 phase=silu_gated_mlp status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.118] model.layer=02 phase=expert_combine status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.128] model.layer=02 phase=residual_commit status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.132] model.layer=02 phase=activation_guard status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.141] model.layer=03 phase=rms_norm_attention status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.144] model.layer=03 phase=qkv_projection status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.152] model.layer=03 phase=rotary_position_encoding status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.165] model.layer=03 phase=paged_kv_cache_append status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.172] model.layer=03 phase=flash_attention status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.184] model.layer=03 phase=attention_output_projection status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.190] model.layer=03 phase=residual_merge status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.201] model.layer=03 phase=rms_norm_expert status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.206] model.layer=03 phase=expert_router_topk status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.216] model.layer=03 phase=expert_dispatch status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.220] model.layer=03 phase=silu_gated_mlp status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.229] model.layer=03 phase=expert_combine status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.232] model.layer=03 phase=residual_commit status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.240] model.layer=03 phase=activation_guard status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.253] model.layer=04 phase=rms_norm_attention status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.260] model.layer=04 phase=qkv_projection status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.272] model.layer=04 phase=rotary_position_encoding status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.278] model.layer=04 phase=paged_kv_cache_append status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.289] model.layer=04 phase=flash_attention status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.294] model.layer=04 phase=attention_output_projection status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.304] model.layer=04 phase=residual_merge status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.308] model.layer=04 phase=rms_norm_expert status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.317] model.layer=04 phase=expert_router_topk status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.320] model.layer=04 phase=expert_dispatch status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.328] model.layer=04 phase=silu_gated_mlp status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.341] model.layer=04 phase=expert_combine status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.348] model.layer=04 phase=residual_commit status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.360] model.layer=04 phase=activation_guard status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.366] model.layer=05 phase=rms_norm_attention status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.377] model.layer=05 phase=qkv_projection status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.382] model.layer=05 phase=rotary_position_encoding status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.392] model.layer=05 phase=paged_kv_cache_append status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.396] model.layer=05 phase=flash_attention status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.405] model.layer=05 phase=attention_output_projection status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.408] model.layer=05 phase=residual_merge status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.416] model.layer=05 phase=rms_norm_expert status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.429] model.layer=05 phase=expert_router_topk status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.436] model.layer=05 phase=expert_dispatch status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.448] model.layer=05 phase=silu_gated_mlp status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.454] model.layer=05 phase=expert_combine status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.465] model.layer=05 phase=residual_commit status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.470] model.layer=05 phase=activation_guard status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.480] model.layer=06 phase=rms_norm_attention status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.484] model.layer=06 phase=qkv_projection status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.493] model.layer=06 phase=rotary_position_encoding status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.496] model.layer=06 phase=paged_kv_cache_append status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.504] model.layer=06 phase=flash_attention status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.517] model.layer=06 phase=attention_output_projection status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.524] model.layer=06 phase=residual_merge status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.536] model.layer=06 phase=rms_norm_expert status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.542] model.layer=06 phase=expert_router_topk status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.553] model.layer=06 phase=expert_dispatch status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.558] model.layer=06 phase=silu_gated_mlp status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.568] model.layer=06 phase=expert_combine status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.572] model.layer=06 phase=residual_commit status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.581] model.layer=06 phase=activation_guard status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.584] model.layer=07 phase=rms_norm_attention status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.592] model.layer=07 phase=qkv_projection status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.605] model.layer=07 phase=rotary_position_encoding status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.612] model.layer=07 phase=paged_kv_cache_append status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.624] model.layer=07 phase=flash_attention status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.630] model.layer=07 phase=attention_output_projection status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.641] model.layer=07 phase=residual_merge status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.646] model.layer=07 phase=rms_norm_expert status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.656] model.layer=07 phase=expert_router_topk status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.660] model.layer=07 phase=expert_dispatch status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.669] model.layer=07 phase=silu_gated_mlp status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.672] model.layer=07 phase=expert_combine status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.680] model.layer=07 phase=residual_commit status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.693] model.layer=07 phase=activation_guard status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.700] model.layer=08 phase=rms_norm_attention status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.712] model.layer=08 phase=qkv_projection status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.718] model.layer=08 phase=rotary_position_encoding status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.729] model.layer=08 phase=paged_kv_cache_append status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.734] model.layer=08 phase=flash_attention status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.744] model.layer=08 phase=attention_output_projection status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.748] model.layer=08 phase=residual_merge status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.757] model.layer=08 phase=rms_norm_expert status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.760] model.layer=08 phase=expert_router_topk status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.768] model.layer=08 phase=expert_dispatch status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.781] model.layer=08 phase=silu_gated_mlp status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.788] model.layer=08 phase=expert_combine status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.800] model.layer=08 phase=residual_commit status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.806] model.layer=08 phase=activation_guard status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.817] model.layer=09 phase=rms_norm_attention status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.822] model.layer=09 phase=qkv_projection status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.832] model.layer=09 phase=rotary_position_encoding status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.836] model.layer=09 phase=paged_kv_cache_append status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.845] model.layer=09 phase=flash_attention status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.848] model.layer=09 phase=attention_output_projection status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.856] model.layer=09 phase=residual_merge status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.869] model.layer=09 phase=rms_norm_expert status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.876] model.layer=09 phase=expert_router_topk status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.888] model.layer=09 phase=expert_dispatch status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.894] model.layer=09 phase=silu_gated_mlp status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.905] model.layer=09 phase=expert_combine status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.910] model.layer=09 phase=residual_commit status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.920] model.layer=09 phase=activation_guard status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.924] model.layer=10 phase=rms_norm_attention status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.933] model.layer=10 phase=qkv_projection status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.936] model.layer=10 phase=rotary_position_encoding status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.944] model.layer=10 phase=paged_kv_cache_append status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.957] model.layer=10 phase=flash_attention status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.964] model.layer=10 phase=attention_output_projection status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.976] model.layer=10 phase=residual_merge status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.982] model.layer=10 phase=rms_norm_expert status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.993] model.layer=10 phase=expert_router_topk status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.998] model.layer=10 phase=expert_dispatch status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:16.008] model.layer=10 phase=silu_gated_mlp status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:16.012] model.layer=10 phase=expert_combine status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:16.021] model.layer=10 phase=residual_commit status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:16.024] model.layer=10 phase=activation_guard status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:16.032] model.layer=11 phase=rms_norm_attention status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:16.045] model.layer=11 phase=qkv_projection status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:16.052] model.layer=11 phase=rotary_position_encoding status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:16.064] model.layer=11 phase=paged_kv_cache_append status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:16.070] model.layer=11 phase=flash_attention status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:16.081] model.layer=11 phase=attention_output_projection status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:16.086] model.layer=11 phase=residual_merge status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:16.096] model.layer=11 phase=rms_norm_expert status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:16.100] model.layer=11 phase=expert_router_topk status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:16.109] model.layer=11 phase=expert_dispatch status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:16.112] model.layer=11 phase=silu_gated_mlp status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:16.120] model.layer=11 phase=expert_combine status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:16.133] model.layer=11 phase=residual_commit status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:16.140] model.layer=11 phase=activation_guard status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:16.152] model.layer=12 phase=rms_norm_attention status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:16.158] model.layer=12 phase=qkv_projection status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
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[00:16.174] model.layer=12 phase=paged_kv_cache_append status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
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[00:16.221] model.layer=12 phase=expert_dispatch status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
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[00:16.334] model.layer=13 phase=expert_dispatch status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
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[00:16.580] model.layer=15 phase=residual_commit status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
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[00:17.253] model.layer=21 phase=residual_commit status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
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[00:17.341] model.layer=22 phase=expert_dispatch status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
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[00:17.365] model.layer=22 phase=residual_commit status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
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[00:17.560] model.layer=24 phase=expert_router_topk status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:17.566] model.layer=24 phase=expert_dispatch status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:17.577] model.layer=24 phase=silu_gated_mlp status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:17.582] model.layer=24 phase=expert_combine status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:17.592] model.layer=24 phase=residual_commit status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
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[00:17.608] model.layer=25 phase=qkv_projection status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:17.616] model.layer=25 phase=rotary_position_encoding status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:17.629] model.layer=25 phase=paged_kv_cache_append status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:17.636] model.layer=25 phase=flash_attention status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
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[00:17.670] model.layer=25 phase=expert_router_topk status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:17.680] model.layer=25 phase=expert_dispatch status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
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[00:17.693] model.layer=25 phase=expert_combine status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:17.696] model.layer=25 phase=residual_commit status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
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[00:17.784] model.layer=26 phase=expert_dispatch status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
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[00:18.798] model.layer=35 phase=expert_dispatch status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
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[00:18.814] model.layer=35 phase=expert_combine status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
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[00:19.016] model.layer=37 phase=expert_dispatch status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
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[00:19.044] model.layer=37 phase=residual_commit status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
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[00:19.073] model.layer=38 phase=qkv_projection status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
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[00:19.088] model.layer=38 phase=paged_kv_cache_append status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
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[00:19.104] model.layer=38 phase=residual_merge status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
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[00:19.132] model.layer=38 phase=expert_dispatch status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
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[00:20.597] model.layer=51 phase=silu_gated_mlp status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:20.600] model.layer=51 phase=expert_combine status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:20.608] model.layer=51 phase=residual_commit status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
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[00:20.640] model.layer=52 phase=qkv_projection status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
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[00:20.696] model.layer=52 phase=expert_dispatch status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
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[00:23.576] model.layer=78 phase=flash_attention status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
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[00:23.613] model.layer=78 phase=expert_dispatch status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
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[00:25.062] model.layer=91 phase=expert_router_topk status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:25.072] model.layer=91 phase=expert_dispatch status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:25.076] model.layer=91 phase=silu_gated_mlp status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:25.085] model.layer=91 phase=expert_combine status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:25.088] model.layer=91 phase=residual_commit status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:25.096] model.layer=91 phase=activation_guard status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:25.109] model.layer=92 phase=rms_norm_attention status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:25.116] model.layer=92 phase=qkv_projection status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:25.128] model.layer=92 phase=rotary_position_encoding status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:25.134] model.layer=92 phase=paged_kv_cache_append status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:25.145] model.layer=92 phase=flash_attention status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:25.150] model.layer=92 phase=attention_output_projection status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:25.160] model.layer=92 phase=residual_merge status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:25.164] model.layer=92 phase=rms_norm_expert status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:25.173] model.layer=92 phase=expert_router_topk status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:25.176] model.layer=92 phase=expert_dispatch status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:25.184] model.layer=92 phase=silu_gated_mlp status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:25.197] model.layer=92 phase=expert_combine status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:25.204] model.layer=92 phase=residual_commit status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:25.216] model.layer=92 phase=activation_guard status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:25.222] model.layer=93 phase=rms_norm_attention status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:25.233] model.layer=93 phase=qkv_projection status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:25.238] model.layer=93 phase=rotary_position_encoding status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:25.248] model.layer=93 phase=paged_kv_cache_append status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:25.252] model.layer=93 phase=flash_attention status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:25.261] model.layer=93 phase=attention_output_projection status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:25.264] model.layer=93 phase=residual_merge status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:25.272] model.layer=93 phase=rms_norm_expert status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:25.285] model.layer=93 phase=expert_router_topk status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:25.292] model.layer=93 phase=expert_dispatch status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:25.304] model.layer=93 phase=silu_gated_mlp status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:25.310] model.layer=93 phase=expert_combine status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:25.321] model.layer=93 phase=residual_commit status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:25.326] model.layer=93 phase=activation_guard status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:25.336] model.layer=94 phase=rms_norm_attention status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:25.340] model.layer=94 phase=qkv_projection status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:25.349] model.layer=94 phase=rotary_position_encoding status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:25.352] model.layer=94 phase=paged_kv_cache_append status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:25.360] model.layer=94 phase=flash_attention status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:25.373] model.layer=94 phase=attention_output_projection status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:25.380] model.layer=94 phase=residual_merge status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:25.392] model.layer=94 phase=rms_norm_expert status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:25.398] model.layer=94 phase=expert_router_topk status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:25.409] model.layer=94 phase=expert_dispatch status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:25.414] model.layer=94 phase=silu_gated_mlp status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:25.424] model.layer=94 phase=expert_combine status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:25.428] model.layer=94 phase=residual_commit status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:25.437] model.layer=94 phase=activation_guard status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:25.440] model.layer=95 phase=rms_norm_attention status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:25.448] model.layer=95 phase=qkv_projection status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:25.461] model.layer=95 phase=rotary_position_encoding status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:25.468] model.layer=95 phase=paged_kv_cache_append status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:25.480] model.layer=95 phase=flash_attention status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:25.486] model.layer=95 phase=attention_output_projection status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:25.497] model.layer=95 phase=residual_merge status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:25.502] model.layer=95 phase=rms_norm_expert status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:25.512] model.layer=95 phase=expert_router_topk status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:25.516] model.layer=95 phase=expert_dispatch status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:25.525] model.layer=95 phase=silu_gated_mlp status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:25.528] model.layer=95 phase=expert_combine status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:25.536] model.layer=95 phase=residual_commit status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:25.549] model.layer=95 phase=activation_guard status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
/* ============================================================================================ */
/* FINAL SYSTEM STATE
/* ============================================================================================ */
runtime.finalize({
workflow_status: "approved",
model_status: "stable",
source_lineage: "preserved",
calculations: "independently_verified",
contradictions: "surfaced",
uncertainty: "calibrated",
human_steering: "recorded",
audit_package: "sealed",
output: "audit_ready"
});
}
`;
/**
* CAPITOL_DEEP_LLM_OPERATIONS_TRACE
*
* Decorative, technically grounded pseudocode for a website background.
*
* This is not a literal copy of any proprietary model implementation. Real large-language
* models primarily contain learned tensor weights and execute low-level numerical kernels.
* This string combines realistic transformer-inference concepts with the orchestration,
* retrieval, evidence, validation, and audit systems used around advanced models.
*/
export const CAPITOL_DEEP_LLM_OPERATIONS_TRACE = String.raw`
/* ============================================================================================ */
/* RUNTIME IDENTITY / GLOBAL OPERATING CONTRACT
/* ============================================================================================ */
namespace Capitol.DeepRuntime {
const BUILD_ID = "capitol.deep-runtime.2026.07";
const EXECUTION_PROFILE = "multi-workflow-evidence-bound";
const MODEL_ARCHITECTURE = "decoder-transformer-mixture-of-experts";
const INFERENCE_PRECISION = "bf16-mixed";
const KV_CACHE_PRECISION = "fp8-adaptive";
const CONTEXT_WINDOW_TOKENS = 262144;
const MAX_GENERATION_TOKENS = 32768;
const TRANSFORMER_LAYERS = 96;
const ATTENTION_HEADS = 128;
const KEY_VALUE_HEADS = 16;
const HIDDEN_DIMENSION = 16384;
const INTERMEDIATE_DIMENSION = 53248;
const EXPERT_COUNT = 128;
const ACTIVE_EXPERTS_PER_TOKEN = 8;
const ROPE_BASE = 1000000;
const RETRIEVAL_PARALLELISM = 64;
const TOOL_PARALLELISM = 24;
const MAX_WORKFLOW_BRANCHES = 48;
const CLAIM_CONFIDENCE_THRESHOLD = 0.84;
const ENTITY_LINK_THRESHOLD = 0.89;
const CONTRADICTION_THRESHOLD = 0.73;
const MINIMUM_SOURCE_DIVERSITY = 3;
const HUMAN_REVIEW_MODE = "risk-adaptive";
const SOURCE_LINEAGE_REQUIRED = true;
const AUDIT_EVENT_RETENTION = "append-only";
const HALLUCINATION_POLICY = "abstain-or-qualify";
const NUMERIC_POLICY = "calculate-never-guess";
const LEGAL_POLICY = "primary-authority-preferred";
const TEMPORAL_POLICY = "event-time-and-effective-time";
const OUTPUT_POLICY = "traceable-audit-ready";
enum WorkflowKind {
COMMERCIAL_DUE_DILIGENCE,
REGULATORY_INTELLIGENCE,
PUBLIC_SECTOR_ANALYSIS,
DATA_AND_EDITORIAL_RESEARCH
}
enum ExecutionStage {
RECEIVE,
INTERPRET,
DECOMPOSE,
PLAN,
ACQUIRE,
NORMALIZE,
INDEX,
RETRIEVE,
RESOLVE,
EXTRACT,
ANALYZE,
CALCULATE,
VERIFY,
SYNTHESIZE,
REVIEW,
RENDER,
AUDIT
}
enum EvidenceState {
UNVERIFIED,
PRIMARY,
SECONDARY,
CORROBORATED,
CONTRADICTED,
SUPERSEDED,
RETRACTED,
OUT_OF_SCOPE
}
enum ClaimModality {
OBSERVED,
REPORTED,
INFERRED,
PROJECTED,
REQUIRED,
PROHIBITED,
PERMITTED,
CONTINGENT,
DISPUTED
}
type Tensor = {
shape: int[],
dtype: string,
device: string,
layout: string,
data_ptr: uintptr
};
type Token = {
id: int,
text: string,
byte_start: int,
byte_end: int,
position: int,
segment_id: string | null,
source_id: string | null
};
type ModelState = {
input_ids: Tensor,
position_ids: Tensor,
attention_mask: Tensor,
kv_cache: KVCache,
router_state: RouterState,
hidden_state: Tensor,
residual_stream: Tensor,
logits: Tensor | null
};
type SourceIdentity = {
source_id: string,
source_type: string,
canonical_uri: string,
publisher: string | null,
jurisdiction: string | null,
language: string,
published_at: DateTime | null,
effective_at: DateTime | null,
retrieved_at: DateTime,
content_hash: string,
authority_score: float,
freshness_score: float,
completeness_score: float
};
type EvidenceSpan = {
source_id: string,
document_id: string,
page: int | null,
section_path: string[],
start_offset: int,
end_offset: int,
exact_text_hash: string,
semantic_role: string,
table_coordinates: int[4] | null,
bounding_box: float[4] | null
};
type Entity = {
entity_id: string,
canonical_name: string,
entity_type: string,
aliases: string[],
identifiers: map<string, string>,
jurisdictions: string[],
parent_entity_id: string | null,
confidence: float,
evidence: EvidenceSpan[]
};
type Claim = {
claim_id: string,
claim_type: string,
modality: ClaimModality,
subject_entity_id: string | null,
predicate: string,
object_value: any,
qualifiers: map<string, any>,
event_time: DateTimeRange | null,
asserted_time: DateTime | null,
effective_time: DateTimeRange | null,
confidence: float,
evidence_state: EvidenceState,
evidence: EvidenceSpan[],
contradicts: string[],
depends_on: string[]
};
type Metric = {
metric_id: string,
canonical_name: string,
reported_name: string,
value: decimal,
unit: string,
scale: decimal,
currency: string | null,
period_start: DateTime | null,
period_end: DateTime | null,
dimensions: map<string, string>,
methodology: string | null,
formula: string | null,
confidence: float,
evidence: EvidenceSpan[]
};
type WorkflowRequest = {
workflow_id: string,
objective: string,
questions: string[],
workflow_kinds: WorkflowKind[],
source_constraints: SourceConstraint[],
jurisdiction_scope: string[],
temporal_scope: DateTimeRange | null,
output_schema: JSONSchema,
risk_tolerance: string,
human_review_points: string[]
};
type WorkflowState = {
workflow_id: string,
stage: ExecutionStage,
active_branches: BranchState[],
source_count: int,
segment_count: int,
entity_count: int,
claim_count: int,
metric_count: int,
unresolved_conflicts: Conflict[],
unanswered_questions: QuestionGap[],
evidence_graph: DirectedGraph,
audit_log: AuditEvent[]
};
/* ============================================================================================ */
/* TOKENIZATION / INPUT CANONICALIZATION
/* ============================================================================================ */
function canonicalizeInput(raw: bytes): CanonicalInput {
let decoded = decodeUtf8Strict(raw);
let normalized = unicodeNormalize(decoded, "NFKC");
let protectedText = preserveMeaningfulWhitespace(normalized);
let detectedLanguage = detectLanguage(protectedText);
let documentBoundaries = locateDocumentBoundaries(protectedText);
let controlSegments = identifyControlSegments(protectedText);
let userSegments = identifyUserSegments(protectedText);
let sourceSegments = identifySourceSegments(protectedText);
return {
text: protectedText,
language: detectedLanguage,
document_boundaries: documentBoundaries,
control_segments: controlSegments,
user_segments: userSegments,
source_segments: sourceSegments,
input_hash: sha256(raw),
received_at: now()
};
}
function tokenize(input: CanonicalInput): TokenSequence {
let bytePieces = bytePairEncode(input.text);
let tokens = [];
let position = 0;
for (piece in bytePieces) {
tokens.push({
id: vocabulary.lookup(piece.bytes),
text: piece.text,
byte_start: piece.byte_start,
byte_end: piece.byte_end,
position,
segment_id: locateSegment(piece, input),
source_id: locateSource(piece, input)
});
position += 1;
}
assert(tokens.length <= CONTEXT_WINDOW_TOKENS);
return {
tokens,
input_ids: tensor(tokens.map(token => token.id), "int32"),
position_ids: arange(tokens.length, "int32"),
segment_map: buildSegmentMap(tokens),
source_map: buildSourceMap(tokens),
token_hash: stableHash(tokens.map(token => token.id))
};
}
function buildAttentionMask(sequence: TokenSequence): Tensor {
let mask = causalMask(sequence.tokens.length);
let segmentPermissions = compileSegmentPermissions(sequence.segment_map);
let sourcePermissions = compileSourcePermissions(sequence.source_map);
let policyMask = intersectMasks(
mask,
segmentPermissions,
sourcePermissions
);
return packMask(policyMask, {
block_size: 128,
sparse_layout: "block-causal",
dtype: "bool"
});
}
/* ============================================================================================ */
/* EMBEDDING / POSITIONAL ENCODING / TRANSFORMER FORWARD PASS
/* ============================================================================================ */
function initializeModelState(sequence: TokenSequence): ModelState {
let embeddings = embeddingLookup(
MODEL_PARAMETERS.token_embedding,
sequence.input_ids
);
let scaled = embeddings * sqrt(HIDDEN_DIMENSION);
let positions = buildRotaryPositions(
sequence.position_ids,
ROPE_BASE
);
return {
input_ids: sequence.input_ids,
position_ids: sequence.position_ids,
attention_mask: buildAttentionMask(sequence),
kv_cache: KVCache.allocate({
layers: TRANSFORMER_LAYERS,
key_value_heads: KEY_VALUE_HEADS,
head_dimension: HIDDEN_DIMENSION / ATTENTION_HEADS,
max_tokens: CONTEXT_WINDOW_TOKENS,
precision: KV_CACHE_PRECISION
}),
router_state: RouterState.initialize(EXPERT_COUNT),
hidden_state: scaled,
residual_stream: scaled,
logits: null,
rotary_positions: positions
};
}
function rmsNorm(x: Tensor, weight: Tensor, epsilon: float): Tensor {
let variance = mean(square(x), axis=-1, keepdim=true);
let normalized = x * reciprocalSqrt(variance + epsilon);
return normalized * weight;
}
function applyRotaryEmbedding(
q: Tensor,
k: Tensor,
positions: Tensor,
base: int
): tuple<Tensor, Tensor> {
let frequencies = inverseFrequencies(
dimension=q.shape[-1],
base=base
);
let angles = outerProduct(positions, frequencies);
let cosine = cos(angles);
let sine = sin(angles);
return (
rotateHalf(q) * sine + q * cosine,
rotateHalf(k) * sine + k * cosine
);
}
function groupedQueryAttention(
hidden: Tensor,
layer: int,
state: ModelState
): Tensor {
let q = linear(hidden, MODEL_PARAMETERS.layers[layer].q_projection);
let k = linear(hidden, MODEL_PARAMETERS.layers[layer].k_projection);
let v = linear(hidden, MODEL_PARAMETERS.layers[layer].v_projection);
q = reshapeHeads(q, ATTENTION_HEADS);
k = reshapeHeads(k, KEY_VALUE_HEADS);
v = reshapeHeads(v, KEY_VALUE_HEADS);
(q, k) = applyRotaryEmbedding(
q,
k,
state.rotary_positions,
ROPE_BASE
);
state.kv_cache.append(layer, k, v);
let expandedK = repeatKeyValueHeads(k, ATTENTION_HEADS / KEY_VALUE_HEADS);
let expandedV = repeatKeyValueHeads(v, ATTENTION_HEADS / KEY_VALUE_HEADS);
let attention = flashAttention({
query: q,
key: expandedK,
value: expandedV,
mask: state.attention_mask,
causal: true,
softmax_scale: reciprocalSqrt(q.shape[-1]),
dropout: 0.0,
accumulation_dtype: "fp32"
});
let merged = mergeHeads(attention);
return linear(
merged,
MODEL_PARAMETERS.layers[layer].output_projection
);
}
function routeMixtureOfExperts(
hidden: Tensor,
layer: int,
routerState: RouterState
): Tensor {
let routerLogits = linear(
hidden,
MODEL_PARAMETERS.layers[layer].router_projection
);
let routerProbabilities = softmax(
routerLogits,
axis=-1,
dtype="fp32"
);
let selected = topK(
routerProbabilities,
ACTIVE_EXPERTS_PER_TOKEN
);
let normalizedWeights = renormalize(selected.values);
let dispatchPlan = buildExpertDispatchPlan(
selected.indices,
normalizedWeights,
capacityFactor=1.25
);
let expertOutputs = parallelMap(
dispatchPlan.active_experts,
expertId => {
let expertInput = dispatch(
hidden,
dispatchPlan,
expertId
);
let gated = silu(
linear(
expertInput,
MODEL_PARAMETERS.layers[layer]
.experts[expertId]
.gate_projection
)
);
let expanded = linear(
expertInput,
MODEL_PARAMETERS.layers[layer]
.experts[expertId]
.up_projection
);
let activated = gated * expanded;
return linear(
activated,
MODEL_PARAMETERS.layers[layer]
.experts[expertId]
.down_projection
);
}
);
routerState.record({
layer,
token_count: hidden.shape[-2],
active_experts: dispatchPlan.active_experts,
load_balance_loss: computeLoadBalanceLoss(routerProbabilities),
router_z_loss: computeRouterZLoss(routerLogits)
});
return combineExpertOutputs(
expertOutputs,
dispatchPlan,
normalizedWeights
);
}
function transformerLayer(
state: ModelState,
layer: int
): ModelState {
let residualA = state.residual_stream;
let normalizedA = rmsNorm(
state.hidden_state,
MODEL_PARAMETERS.layers[layer].attention_norm,
1e-6
);
let attentionOutput = groupedQueryAttention(
normalizedA,
layer,
state
);
let postAttention = residualA + attentionOutput;
let normalizedB = rmsNorm(
postAttention,
MODEL_PARAMETERS.layers[layer].ffn_norm,
1e-6
);
let expertOutput = routeMixtureOfExperts(
normalizedB,
layer,
state.router_state
);
let postExpert = postAttention + expertOutput;
state.hidden_state = postExpert;
state.residual_stream = postExpert;
return state;
}
function forward(sequence: TokenSequence): Tensor {
let state = initializeModelState(sequence);
for (
let layer = 0;
layer < TRANSFORMER_LAYERS;
layer += 1
) {
state = transformerLayer(state, layer);
numericalGuards.assertFinite(state.hidden_state);
activationMonitor.observe(layer, state.hidden_state);
}
let normalized = rmsNorm(
state.hidden_state,
MODEL_PARAMETERS.final_norm,
1e-6
);
state.logits = linear(
normalized,
transpose(MODEL_PARAMETERS.token_embedding)
);
return state.logits;
}
/* ============================================================================================ */
/* DECODING / SAMPLING / SPECULATIVE EXECUTION
/* ============================================================================================ */
function selectNextToken(
logits: Tensor,
policy: SamplingPolicy
): int {
let finalLogits = logits[-1];
if (policy.temperature <= 0.0) {
return argmax(finalLogits);
}
finalLogits = finalLogits / policy.temperature;
finalLogits = applyRepetitionPenalty(
finalLogits,
policy.generated_tokens,
policy.repetition_penalty
);
finalLogits = topKFilter(
finalLogits,
policy.top_k
);
finalLogits = nucleusFilter(
finalLogits,
policy.top_p
);
finalLogits = minProbabilityFilter(
finalLogits,
policy.min_p
);
let probabilities = softmax(
finalLogits,
axis=-1,
dtype="fp32"
);
return multinomial(
probabilities,
seed=policy.seed
);
}
function speculativeDecode(
prompt: TokenSequence,
targetModel: Model,
draftModel: Model,
policy: SamplingPolicy
): TokenSequence {
let accepted = [];
let targetState = targetModel.prefill(prompt);
let draftState = draftModel.prefill(prompt);
while (!stopCondition(accepted, policy)) {
let proposed = draftModel.generateDraft(
draftState,
max_tokens=8
);
let targetScores = targetModel.scoreDraft(
targetState,
proposed
);
let verification = verifySpeculativeTokens(
proposed,
targetScores,
policy
);
accepted.push(...verification.accepted_tokens);
if (verification.rejected_at != null) {
accepted.push(
sampleFromResidualDistribution(
verification.target_distribution,
verification.draft_distribution
)
);
}
targetState.advance(accepted);
draftState.rebuildFrom(targetState);
}
return appendTokens(prompt, accepted);
}
function constrainedDecode(
prompt: TokenSequence,
grammar: OutputGrammar,
policy: SamplingPolicy
): TokenSequence {
let state = prefill(prompt);
let generated = [];
while (!grammar.isComplete(generated)) {
let logits = decodeStep(state);
let allowedTokens = grammar.allowedNextTokens(generated);
let constrainedLogits = maskDisallowedTokens(
logits,
allowedTokens
);
let nextToken = selectNextToken(
constrainedLogits,
policy
);
generated.push(nextToken);
state.append(nextToken);
if (generated.length >= MAX_GENERATION_TOKENS) {
throw new GenerationLimitReached();
}
}
return generated;
}
/* ============================================================================================ */
/* AGENTIC CONTROL PLANE / MULTI-WORKFLOW ORCHESTRATION
/* ============================================================================================ */
function executeComplexOperations(
request: WorkflowRequest
): WorkflowResult {
let execution = initializeExecutionContext(request);
let interpreted = interpretObjective(execution);
let decomposed = decomposeObjectives(interpreted);
let plan = constructAdaptivePlan(decomposed);
let graph = compileExecutionGraph(plan);
let sources = acquireSourceCorpus(graph, request);
let normalized = normalizeCorpus(sources);
let segments = segmentCorpus(normalized);
let indexes = buildHybridIndexes(segments);
let retrieved = retrieveEvidenceForAllBranches(
graph,
indexes
);
let entities = resolveEntitiesAcrossBranches(
retrieved,
indexes
);
let claims = extractClaimsAcrossBranches(
retrieved,
entities
);
let metrics = extractMetricsAcrossBranches(
retrieved,
entities
);
let timeline = constructUnifiedTimeline(
claims,
metrics
);
let conflicts = detectCrossSourceConflicts(
claims,
metrics,
timeline
);
let evidenceGraph = buildUnifiedEvidenceGraph({
sources,
segments,
entities,
claims,
metrics,
timeline,
conflicts
});
let workflowOutputs = executeWorkflowBranchesConcurrently({
request,
graph,
indexes,
entities,
claims,
metrics,
timeline,
conflicts,
evidenceGraph
});
let reconciled = reconcileWorkflowOutputs(
workflowOutputs,
evidenceGraph
);
let verified = runGlobalVerificationSuite(
reconciled,
evidenceGraph,
request
);
let reviewed = applyRiskAdaptiveHumanReview(
verified,
request
);
let rendered = renderAuditReadyOutput(
reviewed,
request.output_schema
);
persistImmutableAuditPackage({
request,
graph,
sources,
entities,
claims,
metrics,
conflicts,
evidenceGraph,
reviewed,
rendered
});
return rendered;
}
function initializeExecutionContext(
request: WorkflowRequest
): ExecutionContext {
assert(request.objective.length > 0);
assert(request.questions.length > 0);
assert(request.workflow_kinds.length > 0);
return {
workflow_id: request.workflow_id,
trace_id: generateTraceId(),
started_at: now(),
objective: request.objective,
objective_embedding: embed(request.objective),
questions: request.questions,
question_embeddings: embedBatch(request.questions),
workflow_kinds: request.workflow_kinds,
jurisdiction_scope: canonicalizeJurisdictions(
request.jurisdiction_scope
),
temporal_scope: normalizeDateRange(
request.temporal_scope
),
source_constraints: compileSourceConstraints(
request.source_constraints
),
permissions: resolveExecutionPermissions(
request.workflow_id
),
risk_tolerance: request.risk_tolerance,
review_gates: compileReviewGates(
request.human_review_points
),
memory: createEphemeralWorkingMemory(),
audit_log: new AppendOnlyAuditLog()
};
}
function interpretObjective(
context: ExecutionContext
): InterpretedObjective {
let intent = classifyOperationalIntent(
context.objective,
context.questions
);
let decisionType = classifyDecisionType(
context.objective
);
let deliverableType = inferDeliverableType(
context.objective
);
let implicitConstraints = inferImplicitConstraints({
objective: context.objective,
questions: context.questions,
workflows: context.workflow_kinds
});
let ambiguity = detectRequestAmbiguity({
objective: context.objective,
questions: context.questions,
jurisdiction_scope: context.jurisdiction_scope,
temporal_scope: context.temporal_scope
});
return {
...context,
intent,
decision_type: decisionType,
deliverable_type: deliverableType,
implicit_constraints: implicitConstraints,
ambiguity,
confidence: calibrateInterpretationConfidence(
intent,
decisionType,
deliverableType
)
};
}
function decomposeObjectives(
interpreted: InterpretedObjective
): ObjectiveGraph {
let dimensions = [
"entities",
"relationships",
"events",
"metrics",
"jurisdictions",
"authorities",
"obligations",
"permissions",
"prohibitions",
"exemptions",
"markets",
"customers",
"products",
"competitors",
"programs",
"contracts",
"awards",
"beneficiaries",
"datasets",
"methods",
"risks",
"dependencies",
"uncertainties",
"contradictions",
"effective_dates",
"source_authority"
];
let questionNodes = [];
for (question in interpreted.questions) {
let decomposition = decomposeQuestion(
question,
dimensions
);
for (subQuestion in decomposition) {
questionNodes.push({
node_id: generateNodeId(subQuestion),
question: subQuestion.text,
dimension: subQuestion.dimension,
prerequisites: subQuestion.prerequisites,
source_preferences: subQuestion.source_preferences,
answer_schema: subQuestion.answer_schema,
criticality: scoreQuestionCriticality(
subQuestion,
interpreted.decision_type
)
});
}
}
return buildDirectedAcyclicGraph(
questionNodes,
inferQuestionDependencies(questionNodes)
);
}
function constructAdaptivePlan(
objectiveGraph: ObjectiveGraph
): WorkflowPlan {
let retrievalTasks = [];
let extractionTasks = [];
let analysisTasks = [];
let verificationTasks = [];
for (node in objectiveGraph.topologicalOrder()) {
retrievalTasks.push(
createRetrievalTasksForQuestion(node)
);
extractionTasks.push(
createExtractionTasksForQuestion(node)
);
analysisTasks.push(
createAnalysisTasksForQuestion(node)
);
verificationTasks.push(
createVerificationTasksForQuestion(node)
);
}
return {
objective_graph: objectiveGraph,
retrieval_tasks: flatten(retrievalTasks),
extraction_tasks: flatten(extractionTasks),
analysis_tasks: flatten(analysisTasks),
verification_tasks: flatten(verificationTasks),
scheduling_policy: {
strategy: "critical-path-first",
allow_parallel_branches: true,
max_branches: MAX_WORKFLOW_BRANCHES,
retry_policy: "evidence-aware",
stop_when_sufficient: true
},
evidence_policy: {
primary_sources_preferred: true,
source_diversity_minimum: MINIMUM_SOURCE_DIVERSITY,
claim_confidence_minimum: CLAIM_CONFIDENCE_THRESHOLD,
citation_required_for_material_claims: true
}
};
}
function compileExecutionGraph(
plan: WorkflowPlan
): ExecutionGraph {
let graph = new ExecutionGraph();
for (task in plan.retrieval_tasks) {
graph.addTask(task, stage=ExecutionStage.ACQUIRE);
}
for (task in plan.extraction_tasks) {
graph.addTask(task, stage=ExecutionStage.EXTRACT);
}
for (task in plan.analysis_tasks) {
graph.addTask(task, stage=ExecutionStage.ANALYZE);
}
for (task in plan.verification_tasks) {
graph.addTask(task, stage=ExecutionStage.VERIFY);
}
graph.addDependencies(
inferTaskDependencies(plan)
);
graph.validateAcyclic();
graph.computeCriticalPath();
graph.assignResourceBudgets();
graph.attachReviewGates();
return graph;
}
/* ============================================================================================ */
/* SOURCE ACQUISITION / DOCUMENT UNDERSTANDING / NORMALIZATION
/* ============================================================================================ */
function acquireSourceCorpus(
graph: ExecutionGraph,
request: WorkflowRequest
): SourceDocument[] {
let candidates = parallelMap(
graph.tasksByStage(ExecutionStage.ACQUIRE),
RETRIEVAL_PARALLELISM,
task => executeSourceAcquisition(task, request)
);
let flattened = flatten(candidates);
let identified = flattened.map(
source => attachSourceIdentity(source)
);
let policyCompliant = applySourcePolicy(
identified,
request.source_constraints
);
let deduplicated = deduplicateSources(
policyCompliant,
keys=[
"content_hash",
"canonical_uri",
"document_identifier"
]
);
let scored = deduplicated.map(source => ({
...source,
authority_score: scoreSourceAuthority(source),
freshness_score: scoreSourceFreshness(source),
completeness_score: scoreSourceCompleteness(source),
relevance_prior: scoreSourceRelevancePrior(
source,
request.objective
)
}));
return enforceSourcePortfolioDiversity(scored, {
minimum_publishers: MINIMUM_SOURCE_DIVERSITY,
minimum_source_types: 2,
minimum_primary_sources: 1,
jurisdiction_coverage: request.jurisdiction_scope
});
}
function normalizeCorpus(
sources: SourceDocument[]
): NormalizedDocument[] {
return parallelMap(sources, 32, source => {
let mimeType = detectMimeType(source.bytes);
let decoded = decodeDocument(
source.bytes,
mimeType
);
let pages = reconstructPages(decoded);
let layout = analyzeDocumentLayout(pages);
let readingOrder = inferReadingOrder(layout);
let tables = extractStructuredTables(layout);
let figures = locateFiguresAndCaptions(layout);
let footnotes = resolveFootnoteReferences(layout);
let sectionTree = inferSectionHierarchy(layout);
let language = detectLanguage(decoded.text);
let dates = extractDocumentDates(decoded.text);
let signatures = detectSignatures(layout);
let stamps = detectOfficialStamps(layout);
return {
document_id: generateDocumentId(source),
source_identity: source.identity,
text: normalizeUnicode(decoded.text),
pages,
layout,
reading_order: readingOrder,
tables: normalizeTables(tables),
figures,
footnotes,
section_tree: sectionTree,
language,
dates,
signatures,
stamps,
normalization_log: [
"mime_type_detected",
"document_decoded",
"layout_reconstructed",
"reading_order_inferred",
"unicode_normalized",
"hyphenation_repaired",
"headers_and_footers_classified",
"tables_structured",
"figures_linked_to_captions",
"footnotes_resolved",
"section_tree_inferred",
"page_coordinates_preserved"
],
normalized_hash: stableHash({
text: decoded.text,
tables,
sectionTree
})
};
});
}
function segmentCorpus(
documents: NormalizedDocument[]
): TextSegment[] {
let segments = [];
for (document in documents) {
let structuralUnits = splitByDocumentStructure(
document,
document.section_tree
);
for (unit in structuralUnits) {
let semanticChunks = semanticChunk(unit, {
target_tokens: 700,
overlap_tokens: 112,
preserve_sentences: true,
preserve_paragraphs: true,
preserve_tables: true,
preserve_list_structure: true,
preserve_definitions: true,
preserve_citations: true,
preserve_legal_provisions: true
});
for (chunk in semanticChunks) {
segments.push({
segment_id: generateSegmentId(
document.document_id,
chunk.start_offset,
chunk.end_offset
),
document_id: document.document_id,
source_id:
document.source_identity.source_id,
text: chunk.text,
token_count: countTokens(chunk.text),
embedding: embed(chunk.text),
sparse_terms:
extractSparseTerms(chunk.text),
section_path: chunk.section_path,
page_range: chunk.page_range,
semantic_roles:
classifySemanticRoles(chunk.text),
date_mentions:
extractDateMentions(chunk.text),
entity_mentions:
detectEntityMentions(chunk.text),
metric_mentions:
detectMetricMentions(chunk.text),
legal_citations:
detectLegalCitations(chunk.text),
source_citations:
detectSourceCitations(chunk.text),
checksum: sha256(chunk.text)
});
}
}
}
return segments;
}
/* ============================================================================================ */
/* HYBRID INDEXING / QUERY EXPANSION / RETRIEVAL / RERANKING
/* ============================================================================================ */
function buildHybridIndexes(
segments: TextSegment[]
): RetrievalIndexes {
return {
dense: buildVectorIndex(
segments.map(segment => [
segment.segment_id,
segment.embedding
]),
metric="cosine",
quantization="scalar-int8"
),
sparse: buildBM25Index(
segments.map(segment => [
segment.segment_id,
segment.sparse_terms
])
),
temporal: buildTemporalIntervalIndex(
segments
),
entity: buildEntityMentionIndex(
segments
),
metric: buildMetricMentionIndex(
segments
),
legal: buildLegalCitationIndex(
segments
),
section: buildSectionPathIndex(
segments
),
metadata: buildMetadataIndex(
segments
),
graph: buildReferenceGraph(
segments
),
segment_store: mapById(
segments
)
};
}
function expandEvidenceQuery(
query: EvidenceQuery
): ExpandedQuery {
let aliases = generateEntityAliases(
query.entities
);
let acronyms = expandAcronyms(
query.text
);
let legalTerms = expandLegalTerms(
query.text,
query.jurisdictions
);
let financialTerms = expandFinancialTerms(
query.text
);
let temporalVariants = generateTemporalVariants(
query.date_range
);
let metricVariants = generateMetricVariants(
query.metrics
);
let paraphrases = generateSearchParaphrases(
query.text,
max_count=8
);
return {
original: query,
text: joinDistinct([
query.text,
...aliases,
...acronyms,
...legalTerms,
...financialTerms,
...temporalVariants,
...metricVariants,
...paraphrases
]),
terms: uniqueTokens([
query.text,
aliases,
acronyms,
legalTerms,
financialTerms,
metricVariants
]),
entities: query.entities,
date_range: query.date_range,
jurisdictions: query.jurisdictions,
allowed_source_types:
query.allowed_source_types
};
}
function retrieveEvidence(
query: EvidenceQuery,
indexes: RetrievalIndexes
): EvidenceCandidate[] {
let expanded = expandEvidenceQuery(query);
let denseResults = indexes.dense.search(
embed(expanded.text),
limit=160
);
let sparseResults = indexes.sparse.search(
expanded.terms,
limit=160
);
let entityResults = indexes.entity.search(
expanded.entities,
limit=120
);
let temporalResults = indexes.temporal.filter(
expanded.date_range
);
let legalResults = indexes.legal.search(
expanded.terms,
limit=96
);
let metadataResults = indexes.metadata.filter({
source_types:
expanded.allowed_source_types,
jurisdictions:
expanded.jurisdictions
});
let graphResults = expandThroughReferenceGraph(
indexes.graph,
seedResults=union(
denseResults,
sparseResults,
legalResults
),
depth=2
);
let fused = reciprocalRankFusion([
denseResults,
sparseResults,
entityResults,
temporalResults,
legalResults,
metadataResults,
graphResults
], weights=[
0.28,
0.22,
0.13,
0.08,
0.11,
0.08,
0.10
]);
let reranked = crossEncoderRerank(
query.text,
fused,
limit=64
);
let diversified = maximalMarginalRelevance(
reranked,
lambda=0.78,
limit=48
);
return diversified.map(result => {
let segment =
indexes.segment_store[result.segment_id];
return {
segment,
relevance_score: result.score,
authority_score:
result.source.authority_score,
freshness_score:
result.source.freshness_score,
completeness_score:
result.source.completeness_score,
combined_score: weightedMean([
[result.score, 0.50],
[result.source.authority_score, 0.27],
[result.source.freshness_score, 0.13],
[result.source.completeness_score, 0.10]
]),
retrieval_path: result.path,
query_id: query.query_id
};
});
}
function retrieveEvidenceForAllBranches(
graph: ExecutionGraph,
indexes: RetrievalIndexes
): BranchEvidenceMap {
let branchQueries = graph.branches().map(
branch => compileBranchEvidenceQueries(branch)
);
let results = parallelMap(
flatten(branchQueries),
RETRIEVAL_PARALLELISM,
query => retrieveEvidence(query, indexes)
);
return groupEvidenceByBranch(results);
}
/* ============================================================================================ */
/* ENTITY RESOLUTION / RECORD LINKAGE / KNOWLEDGE GRAPH
/* ============================================================================================ */
function resolveEntitiesAcrossBranches(
evidence: BranchEvidenceMap,
indexes: RetrievalIndexes
): Entity[] {
let mentions = collectEntityMentions(
evidence
);
let normalized = mentions.map(mention => ({
...mention,
normalized_text:
normalizeEntityName(mention.text),
entity_type:
classifyEntityType(mention),
local_context:
getLocalContext(mention, indexes),
identifiers:
extractEntityIdentifiers(mention),
jurisdiction:
inferMentionJurisdiction(mention),
event_time:
inferMentionEventTime(mention)
}));
let blocks = generateEntityBlocks(normalized, {
exact_identifier: true,
normalized_name_prefix: true,
phonetic_key: true,
jurisdiction: true,
entity_type: true
});
let candidatePairs = [];
for (block in blocks) {
candidatePairs.push(
...allCandidatePairs(block)
);
}
let scoredPairs = candidatePairs.map(pair => ({
pair,
score: weightedMean([
[nameSimilarity(pair), 0.24],
[aliasSimilarity(pair), 0.12],
[identifierCompatibility(pair), 0.25],
[contextualSimilarity(pair), 0.15],
[jurisdictionCompatibility(pair), 0.09],
[temporalCompatibility(pair), 0.07],
[relationshipCompatibility(pair), 0.08]
])
}));
let acceptedEdges = scoredPairs.filter(
candidate => candidate.score >=
ENTITY_LINK_THRESHOLD
);
let clusters = constrainedGraphCluster(
acceptedEdges,
constraints=[
"incompatible_unique_identifiers_must_not_merge",
"incompatible_entity_types_must_not_merge",
"mutually_exclusive_jurisdictions_require_review"
]
);
return clusters.map(cluster => ({
entity_id: stableEntityId(cluster),
canonical_name:
selectCanonicalEntityName(cluster),
entity_type:
voteEntityType(cluster),
aliases:
unique(cluster.map(node => node.text)),
identifiers:
mergeEntityIdentifiers(cluster),
jurisdictions:
inferEntityJurisdictions(cluster),
parent_entity_id:
resolveParentEntity(cluster),
confidence:
calculateClusterConfidence(cluster),
evidence:
collectEntityEvidence(cluster)
}));
}
function buildKnowledgeGraph(
entities: Entity[],
claims: Claim[],
metrics: Metric[]
): DirectedGraph {
let graph = new DirectedGraph();
for (entity in entities) {
graph.addNode(entity.entity_id, {
node_type: "entity",
canonical_name: entity.canonical_name,
entity_type: entity.entity_type,
confidence: entity.confidence
});
}
for (claim in claims) {
graph.addNode(claim.claim_id, {
node_type: "claim",
predicate: claim.predicate,
confidence: claim.confidence,
modality: claim.modality
});
if (claim.subject_entity_id != null) {
graph.addEdge(
claim.subject_entity_id,
claim.claim_id,
"asserts"
);
}
for (dependency in claim.depends_on) {
graph.addEdge(
dependency,
claim.claim_id,
"supports"
);
}
for (contradiction in claim.contradicts) {
graph.addEdge(
claim.claim_id,
contradiction,
"contradicts"
);
}
}
for (metric in metrics) {
graph.addNode(metric.metric_id, {
node_type: "metric",
canonical_name:
metric.canonical_name,
value: metric.value,
unit: metric.unit,
confidence: metric.confidence
});
}
return graph;
}
/* ============================================================================================ */
/* CLAIM EXTRACTION / METRIC EXTRACTION / TEMPORAL REASONING
/* ============================================================================================ */
function extractClaimsAcrossBranches(
evidence: BranchEvidenceMap,
entities: Entity[]
): Claim[] {
let segments = collectUniqueEvidenceSegments(
evidence
);
let rawClaims = parallelMap(
batchByTokenLimit(segments, 64000),
16,
batch => structuredExtract(batch, {
schema: Claim,
require_exact_evidence_offsets: true,
allow_unresolved_entities: true,
extract_negation: true,
extract_modality: true,
extract_qualifiers: true,
extract_effective_dates: true,
extract_event_dates: true,
extract_scope: true,
extract_conditions: true,
extract_exceptions: true,
separate_fact_from_opinion: true,
separate_actual_from_projection: true,
separate_rule_from_guidance: true
})
);
let linked = flatten(rawClaims).map(
claim => linkClaimEntities(
claim,
entities
)
);
let deduplicated =
semanticClaimDeduplication(linked);
let calibrated =
calibrateClaimConfidence(deduplicated);
let evidenceBound =
enforceEvidenceBinding(calibrated);
let contradictionAnnotated =
annotateLocalContradictions(evidenceBound);
return contradictionAnnotated.filter(
claim => claim.evidence.length > 0
);
}
function extractMetricsAcrossBranches(
evidence: BranchEvidenceMap,
entities: Entity[]
): Metric[] {
let segments = collectMetricBearingSegments(
evidence
);
let candidates = [];
for (segment in segments) {
candidates.push(
...parseQuantitativeStatements(segment, {
preserve_reported_name: true,
preserve_reported_unit: true,
preserve_reported_currency: true,
preserve_reported_scale: true,
preserve_reported_precision: true,
detect_reporting_period: true,
detect_point_in_time: true,
detect_restatement: true,
detect_non_gaap: true,
detect_estimate: true,
detect_forecast: true,
bind_table_headers: true,
bind_row_labels: true,
bind_column_labels: true,
bind_footnotes: true,
bind_entity_scope: true
})
);
}
return candidates.map(candidate => ({
metric_id: stableMetricId(candidate),
canonical_name:
canonicalizeMetricName(candidate),
reported_name:
candidate.reported_name,
value:
parseDecimal(candidate.value),
unit:
normalizeUnit(candidate.unit),
scale:
parseScale(candidate.scale),
currency:
normalizeCurrency(
candidate.currency,
candidate.source_context
),
period_start:
normalizeDate(candidate.period_start),
period_end:
normalizeDate(candidate.period_end),
dimensions:
normalizeMetricDimensions(
candidate.dimensions,
entities
),
methodology:
candidate.methodology,
formula:
candidate.formula,
confidence:
scoreMetricConfidence(candidate),
evidence:
candidate.evidence
}));
}
function constructUnifiedTimeline(
claims: Claim[],
metrics: Metric[]
): Timeline {
let events = [];
for (claim in claims) {
let time = coalesce(
claim.event_time,
claim.effective_time,
inferClaimTime(claim)
);
if (time != null) {
events.push({
event_id:
stableHash(["claim", claim.claim_id]),
event_type:
inferEventType(claim),
time,
description:
verbalizeClaim(claim),
participants:
extractClaimParticipants(claim),
confidence:
claim.confidence,
evidence:
claim.evidence
});
}
}
for (metric in metrics) {
let time = {
start: metric.period_start,
end: metric.period_end
};
events.push({
event_id:
stableHash(["metric", metric.metric_id]),
event_type: "metric_observation",
time,
description:
verbalizeMetric(metric),
participants:
metric.dimensions,
confidence:
metric.confidence,
evidence:
metric.evidence
});
}
let ordered = stableSort(
events,
event => event.time
);
return {
events: ordered,
temporal_relations:
inferTemporalRelations(ordered),
unresolved_dates:
detectUnresolvedDates(ordered),
temporal_conflicts:
detectTemporalConflicts(ordered)
};
}
/* ============================================================================================ */
/* CONFLICT DETECTION / UNCERTAINTY / EVIDENCE GRAPH
/* ============================================================================================ */
function detectCrossSourceConflicts(
claims: Claim[],
metrics: Metric[],
timeline: Timeline
): Conflict[] {
let conflicts = [];
let claimPairs =
generateComparableClaimPairs(claims);
for (pair in claimPairs) {
let score = scoreContradiction(
pair.left,
pair.right
);
if (score >= CONTRADICTION_THRESHOLD) {
conflicts.push({
conflict_id:
generateConflictId(pair),
conflict_type:
"claim_contradiction",
left_id:
pair.left.claim_id,
right_id:
pair.right.claim_id,
score,
possible_explanations: [
"different_reporting_period",
"different_entity_scope",
"restated_value",
"jurisdiction_difference",
"definition_difference",
"source_error",
"translation_difference",
"genuine_disagreement"
],
status:
"unresolved"
});
}
}
let metricGroups =
groupComparableMetrics(metrics);
for (group in metricGroups) {
let outliers =
detectMetricOutliers(group);
for (outlier in outliers) {
conflicts.push({
conflict_id:
generateConflictId(outlier),
conflict_type:
"quantitative_variance",
left_id:
outlier.metric_id,
right_id:
outlier.comparison_metric_id,
score:
outlier.variance_score,
possible_explanations: [
"currency_conversion",
"scale_normalization",
"period_mismatch",
"rounding",
"restatement",
"scope_difference",
"methodology_change"
],
status:
"unresolved"
});
}
}
conflicts.push(
...timeline.temporal_conflicts
);
return conflicts;
}
function buildUnifiedEvidenceGraph(
input: EvidenceGraphInput
): DirectedGraph {
let graph = new DirectedGraph();
for (source in input.sources) {
graph.addNode(
source.identity.source_id,
{
node_type: "source",
authority_score:
source.authority_score,
freshness_score:
source.freshness_score,
published_at:
source.identity.published_at,
content_hash:
source.identity.content_hash
}
);
}
for (segment in input.segments) {
graph.addNode(
segment.segment_id,
{
node_type: "segment",
checksum: segment.checksum,
page_range: segment.page_range
}
);
graph.addEdge(
segment.source_id,
segment.segment_id,
"contains"
);
}
for (entity in input.entities) {
graph.addNode(
entity.entity_id,
{
node_type: "entity",
canonical_name:
entity.canonical_name,
entity_type:
entity.entity_type,
confidence:
entity.confidence
}
);
for (span in entity.evidence) {
graph.addEdge(
span.source_id,
entity.entity_id,
"supports_identity"
);
}
}
for (claim in input.claims) {
graph.addNode(
claim.claim_id,
{
node_type: "claim",
claim_type:
claim.claim_type,
modality:
claim.modality,
confidence:
claim.confidence,
evidence_state:
claim.evidence_state
}
);
for (span in claim.evidence) {
graph.addEdge(
span.source_id,
claim.claim_id,
"supports_claim",
{
page: span.page,
section_path:
span.section_path,
start_offset:
span.start_offset,
end_offset:
span.end_offset,
exact_text_hash:
span.exact_text_hash
}
);
}
}
for (metric in input.metrics) {
graph.addNode(
metric.metric_id,
{
node_type: "metric",
name:
metric.canonical_name,
value:
metric.value,
unit:
metric.unit,
confidence:
metric.confidence
}
);
for (span in metric.evidence) {
graph.addEdge(
span.source_id,
metric.metric_id,
"supports_metric"
);
}
}
for (conflict in input.conflicts) {
graph.addNode(
conflict.conflict_id,
{
node_type: "conflict",
conflict_type:
conflict.conflict_type,
score:
conflict.score,
status:
conflict.status
}
);
graph.addEdge(
conflict.conflict_id,
conflict.left_id,
"involves"
);
graph.addEdge(
conflict.conflict_id,
conflict.right_id,
"involves"
);
}
graph.assertNoDanglingEvidence();
graph.computeSourceToOutputPaths();
return graph;
}
/* ============================================================================================ */
/* CONCURRENT WORKFLOW EXECUTION
/* ============================================================================================ */
function executeWorkflowBranchesConcurrently(
input: WorkflowExecutionInput
): WorkflowOutput[] {
let branches = [];
if (
input.request.workflow_kinds.includes(
WorkflowKind.COMMERCIAL_DUE_DILIGENCE
)
) {
branches.push(() =>
runCommercialDueDiligence(input)
);
}
if (
input.request.workflow_kinds.includes(
WorkflowKind.REGULATORY_INTELLIGENCE
)
) {
branches.push(() =>
runRegulatoryIntelligence(input)
);
}
if (
input.request.workflow_kinds.includes(
WorkflowKind.PUBLIC_SECTOR_ANALYSIS
)
) {
branches.push(() =>
runPublicSectorAnalysis(input)
);
}
if (
input.request.workflow_kinds.includes(
WorkflowKind.DATA_AND_EDITORIAL_RESEARCH
)
) {
branches.push(() =>
runDataEditorialResearch(input)
);
}
return parallelInvoke(
branches,
max_parallelism=4,
shared_read_only_state=input.evidenceGraph
);
}
/* ============================================================================================ */
/* COMMERCIAL DUE DILIGENCE
/* ============================================================================================ */
function runCommercialDueDiligence(
input: WorkflowExecutionInput
): WorkflowOutput {
let target =
identifyTargetCompany(input.entities);
let businessModel =
reconstructBusinessModel({
target,
claims: input.claims,
metrics: input.metrics,
evidence_graph:
input.evidenceGraph
});
let market =
defineRelevantMarket({
target,
business_model:
businessModel,
claims:
input.claims,
entities:
input.entities
});
let productPortfolio =
analyzeProductPortfolio({
target,
claims: input.claims,
metrics: input.metrics
});
let customerBase =
analyzeCustomerBase({
target,
claims: input.claims,
metrics: input.metrics,
entities: input.entities
});
let financialProfile =
constructFinancialProfile({
target,
metrics: input.metrics,
claims: input.claims
});
let competition =
mapCompetitiveLandscape({
target,
market,
entities:
input.entities,
claims:
input.claims,
metrics:
input.metrics
});
let operatingModel =
analyzeOperatingModel({
target,
claims:
input.claims,
entities:
input.entities,
timeline:
input.timeline
});
let dependencies =
identifyCriticalDependencies({
target,
suppliers:
operatingModel.suppliers,
customers:
customerBase.customers,
technology:
operatingModel.technology,
personnel:
operatingModel.key_people,
regulators:
operatingModel.regulators
});
let risks =
scoreDiligenceRisks({
business_model:
businessModel,
market,
product_portfolio:
productPortfolio,
customer_base:
customerBase,
financial_profile:
financialProfile,
competition,
operating_model:
operatingModel,
dependencies,
conflicts:
input.conflicts
});
let opportunities =
identifyValueCreationOpportunities({
target,
market,
product_portfolio:
productPortfolio,
customer_base:
customerBase,
financial_profile:
financialProfile,
operating_model:
operatingModel
});
return {
workflow:
"commercial_due_diligence",
target,
business_model:
businessModel,
market,
product_portfolio:
productPortfolio,
customer_base:
customerBase,
financial_profile:
financialProfile,
competitive_landscape:
competition,
operating_model:
operatingModel,
critical_dependencies:
dependencies,
risks,
opportunities,
evidence_gaps:
identifyEvidenceGaps(
"commercial_due_diligence",
input
)
};
}
function constructFinancialProfile(
input: FinancialProfileInput
): FinancialProfile {
let revenue =
buildMetricSeries(
input.metrics,
names=[
"revenue",
"net_revenue",
"annual_recurring_revenue"
]
);
let grossProfit =
buildMetricSeries(
input.metrics,
names=[
"gross_profit",
"gross_margin"
]
);
let operatingProfit =
buildMetricSeries(
input.metrics,
names=[
"operating_income",
"ebit",
"ebitda"
]
);
let cashFlow =
buildMetricSeries(
input.metrics,
names=[
"operating_cash_flow",
"free_cash_flow"
]
);
let growthRates =
calculateGrowthRates(revenue, {
periods: [
"year_over_year",
"compound_annual"
],
require_comparable_scope: true
});
let margins =
calculateMargins({
revenue,
gross_profit:
grossProfit,
operating_profit:
operatingProfit,
cash_flow:
cashFlow
});
let quality =
assessRevenueQuality({
recurring_share:
deriveRecurringRevenueShare(
input.metrics
),
concentration:
deriveCustomerConcentration(
input.metrics
),
retention:
deriveRetentionMetrics(
input.metrics
),
backlog:
deriveBacklogMetrics(
input.metrics
),
cash_conversion:
deriveCashConversion(
input.metrics
)
});
return {
revenue,
gross_profit:
grossProfit,
operating_profit:
operatingProfit,
cash_flow:
cashFlow,
growth_rates:
growthRates,
margins,
quality,
adjustments:
detectFinancialAdjustments(
input.claims
),
confidence:
aggregateFinancialConfidence([
revenue,
grossProfit,
operatingProfit,
cashFlow
])
};
}
function scoreDiligenceRisks(
input: DiligenceRiskInput
): Risk[] {
let dimensions = [
"commercial",
"customer",
"product",
"market",
"competitive",
"regulatory",
"operational",
"financial",
"technology",
"personnel",
"reputational",
"execution"
];
return dimensions.map(dimension => {
let signals =
collectRiskSignals(
dimension,
input
);
let severity =
weightedRiskScore(signals, {
magnitude: 0.24,
probability: 0.21,
immediacy: 0.13,
reversibility: 0.10,
evidence_strength: 0.18,
management_control: 0.14
});
return {
dimension,
severity,
classification:
classifyRisk(severity),
signals,
supporting_evidence:
collectRiskEvidence(signals),
mitigating_evidence:
collectMitigatingEvidence(
signals
),
unanswered_questions:
generateRiskFollowUpQuestions(
signals
)
};
});
}
/* ============================================================================================ */
/* REGULATORY INTELLIGENCE
/* ============================================================================================ */
function runRegulatoryIntelligence(
input: WorkflowExecutionInput
): WorkflowOutput {
let authorities =
identifyAuthorities(
input.entities
);
let instruments =
identifyLegalInstruments(
input.claims,
input.entities
);
let provisions =
parseLegalProvisions(
input.claims
);
let obligations =
extractNormativeStatements(
provisions,
modality="required"
);
let prohibitions =
extractNormativeStatements(
provisions,
modality="prohibited"
);
let permissions =
extractNormativeStatements(
provisions,
modality="permitted"
);
let exemptions =
extractExemptions(
provisions
);
let thresholds =
extractRegulatoryThresholds(
provisions,
input.metrics
);
let deadlines =
extractRegulatoryDeadlines(
provisions,
input.timeline
);
let enforcement =
extractEnforcementMechanisms(
provisions,
input.claims
);
let versions =
orderInstrumentVersions(
instruments,
input.timeline
);
let changes =
compareRegulatoryVersions({
versions,
provisions,
thresholds,
deadlines
});
let applicability =
evaluateRegulatoryApplicability({
obligations,
prohibitions,
permissions,
exemptions,
thresholds,
entities:
input.entities,
jurisdictions:
input.request.jurisdiction_scope,
effective_dates:
resolveEffectiveDates(
versions,
input.timeline
)
});
let impact =
evaluateOperationalImpact({
changes,
applicability,
enforcement,
dimensions: [
"governance",
"reporting",
"disclosure",
"data",
"privacy",
"licensing",
"product",
"distribution",
"capital",
"conduct",
"recordkeeping",
"third_party_management"
]
});
let actions =
generateRegulatoryActionPlan({
impact,
deadlines,
applicability,
risk_tolerance:
input.request.risk_tolerance
});
return {
workflow:
"regulatory_intelligence",
authorities,
instruments,
provisions,
obligations,
prohibitions,
permissions,
exemptions,
thresholds,
deadlines,
enforcement,
changes,
applicability,
operational_impact:
impact,
recommended_actions:
actions,
evidence_gaps:
identifyEvidenceGaps(
"regulatory_intelligence",
input
)
};
}
function compareRegulatoryVersions(
input: RegulatoryVersionInput
): RegulatoryChange[] {
let changes = [];
for (
let index = 1;
index < input.versions.length;
index += 1
) {
let previous =
input.versions[index - 1];
let current =
input.versions[index];
let alignment =
alignLegalProvisions(
previous,
current
);
for (pair in alignment) {
let semanticChange =
classifyLegalChange(
pair.previous_text,
pair.current_text
);
if (
semanticChange.type !==
"unchanged"
) {
changes.push({
instrument_id:
current.instrument_id,
previous_version:
previous.version_id,
current_version:
current.version_id,
provision:
pair.provision,
change_type:
semanticChange.type,
previous_text:
pair.previous_text,
current_text:
pair.current_text,
scope_change:
detectScopeChange(pair),
threshold_change:
detectThresholdChange(pair),
deadline_change:
detectDeadlineChange(pair),
enforcement_change:
detectEnforcementChange(pair),
operational_effect:
inferOperationalEffect(
semanticChange
),
effective_date:
current.effective_date,
confidence:
semanticChange.confidence,
evidence:
pair.evidence
});
}
}
}
return changes;
}
/* ============================================================================================ */
/* PUBLIC SECTOR ANALYSIS
/* ============================================================================================ */
function runPublicSectorAnalysis(
input: WorkflowExecutionInput
): WorkflowOutput {
let agencies =
identifyGovernmentEntities(
input.entities
);
let programs =
identifyPublicPrograms(
input.claims,
input.entities
);
let procurements =
identifyProcurements(
input.claims,
input.entities
);
let awards =
extractAwardRecords(
input.metrics,
input.claims
);
let vendors =
identifyVendors(
input.entities,
procurements,
awards
);
let beneficiaries =
identifyBeneficiaries(
input.entities,
input.claims
);
let locations =
resolveOperationalLocations(
input.claims,
input.entities
);
let recordLinks =
linkFragmentedPublicRecords({
agencies,
programs,
procurements,
awards,
vendors,
beneficiaries,
locations
});
let fundingFlows =
reconstructFundingFlows({
agencies,
programs,
awards,
vendors,
beneficiaries,
record_links:
recordLinks
});
let deliveryStatus =
assessProgramDelivery({
programs,
procurements,
awards,
timeline:
input.timeline,
claims:
input.claims,
metrics:
input.metrics
});
let ambiguities =
identifyPublicRecordAmbiguities({
record_links:
recordLinks,
conflicts:
input.conflicts,
entities:
input.entities
});
let operationalPicture =
constructOperationalPicture({
agencies,
programs,
procurements,
awards,
vendors,
beneficiaries,
locations,
funding_flows:
fundingFlows,
delivery_status:
deliveryStatus,
ambiguities
});
return {
workflow:
"public_sector_analysis",
agencies,
programs,
procurements,
awards,
vendors,
beneficiaries,
locations,
record_links:
recordLinks,
funding_flows:
fundingFlows,
delivery_status:
deliveryStatus,
ambiguities,
operational_picture:
operationalPicture,
evidence_gaps:
identifyEvidenceGaps(
"public_sector_analysis",
input
)
};
}
function linkFragmentedPublicRecords(
input: PublicRecordInput
): RecordLink[] {
let records = flatten([
input.agencies,
input.programs,
input.procurements,
input.awards,
input.vendors,
input.beneficiaries,
input.locations
]);
let candidates =
generateRecordLinkCandidates(
records,
{
exact_identifiers: [
"contract_number",
"award_id",
"vendor_id",
"agency_code",
"program_code",
"registration_number",
"notice_id"
],
fuzzy_fields: [
"organization_name",
"address",
"program_title",
"description",
"contact_name"
],
temporal_window_days: 730,
geographic_tolerance_km: 25
}
);
return candidates.map(candidate => {
let score = weightedMean([
[identifierMatch(candidate), 0.40],
[nameSimilarity(candidate), 0.17],
[addressSimilarity(candidate), 0.12],
[temporalOverlap(candidate), 0.10],
[amountCompatibility(candidate), 0.08],
[agencyCompatibility(candidate), 0.08],
[descriptionSimilarity(candidate), 0.05]
]);
return {
left_record_id:
candidate.left.id,
right_record_id:
candidate.right.id,
relationship:
inferRecordRelationship(
candidate
),
confidence:
score,
accepted:
score >= 0.87,
evidence:
collectRecordLinkEvidence(
candidate
),
explanation:
explainRecordLinkScore(
candidate,
score
)
};
});
}
/* ============================================================================================ */
/* DATA AND EDITORIAL RESEARCH
/* ============================================================================================ */
function runDataEditorialResearch(
input: WorkflowExecutionInput
): WorkflowOutput {
let datasets =
identifyDatasets(
input.sources
);
let definitions =
extractMetricDefinitions(
input.claims
);
let metricSeries =
buildCanonicalMetricSeries({
metrics:
input.metrics,
definitions,
entities:
input.entities
});
let comparability =
evaluateMetricComparability({
metric_series:
metricSeries,
definitions,
dimensions: [
"unit",
"currency",
"time_period",
"geography",
"population",
"entity_scope",
"methodology",
"source",
"revision_status"
]
});
let calculations =
executeVerifiedCalculations({
metric_series:
metricSeries,
comparability,
require_formula_lineage: true,
require_input_citations: true,
require_independent_recalculation: true
});
let findings =
deriveResearchFindings({
questions:
input.request.questions,
claims:
input.claims,
metrics:
input.metrics,
calculations,
timeline:
input.timeline,
conflicts:
input.conflicts
});
let narrative =
synthesizeEditorialNarrative({
findings,
style:
"precise_non_promotional",
separate_fact_from_interpretation:
true,
preserve_uncertainty:
true,
cite_material_claims:
true,
avoid_unsupported_causality:
true
});
let visualizations =
proposeDataVisualizations({
metric_series:
metricSeries,
calculations,
findings,
chart_policy: {
label_units: true,
disclose_missing_data: true,
disclose_transformations: true,
maintain_comparable_scales: true,
use_zero_baseline_when_required: true,
attach_source_notes: true
}
});
return {
workflow:
"data_and_editorial_research",
datasets,
metric_definitions:
definitions,
metric_series:
metricSeries,
comparability,
calculations,
findings,
narrative,
visualizations,
evidence_gaps:
identifyEvidenceGaps(
"data_and_editorial_research",
input
)
};
}
function executeVerifiedCalculations(
input: CalculationInput
): CalculationResult[] {
let results = [];
for (
request in
input.metric_series.calculation_requests
) {
let values =
resolveCalculationInputs(
request,
input.metric_series
);
assertCompatibleUnits(values);
assertCompatiblePeriods(values);
assertComparableScopes(
values,
input.comparability
);
let result =
safeEvaluateFormula(
request.formula,
values
);
let independentResult =
independentlyRecalculate(
request.formula,
values
);
assert(
absoluteDifference(
result,
independentResult
) <=
request.allowed_tolerance
);
results.push({
calculation_id:
stableHash(request),
formula:
request.formula,
inputs:
values.map(value => ({
metric_id:
value.metric_id,
value:
value.value,
unit:
value.unit,
period:
value.period,
evidence:
value.evidence
})),
result,
independent_result:
independentResult,
output_unit:
inferFormulaUnit(
request.formula,
values
),
lineage:
createCalculationLineage(
request,
values
)
});
}
return results;
}
/* ============================================================================================ */
/* CROSS-WORKFLOW RECONCILIATION
/* ============================================================================================ */
function reconcileWorkflowOutputs(
outputs: WorkflowOutput[],
evidenceGraph: DirectedGraph
): ReconciledOutput {
let sharedEntities =
reconcileSharedEntities(outputs);
let sharedMetrics =
reconcileSharedMetrics(outputs);
let sharedClaims =
reconcileSharedClaims(outputs);
let crossWorkflowConflicts =
detectCrossWorkflowConflicts({
outputs,
shared_entities:
sharedEntities,
shared_metrics:
sharedMetrics,
shared_claims:
sharedClaims
});
let dependencyGraph =
buildCrossWorkflowDependencyGraph({
outputs,
shared_entities:
sharedEntities,
shared_metrics:
sharedMetrics,
shared_claims:
sharedClaims
});
let unifiedFindings =
synthesizeUnifiedFindings({
outputs,
dependency_graph:
dependencyGraph,
conflicts:
crossWorkflowConflicts,
evidence_graph:
evidenceGraph
});
return {
workflow_outputs:
outputs,
shared_entities:
sharedEntities,
shared_metrics:
sharedMetrics,
shared_claims:
sharedClaims,
cross_workflow_conflicts:
crossWorkflowConflicts,
dependency_graph:
dependencyGraph,
unified_findings:
unifiedFindings
};
}
function synthesizeUnifiedFindings(
input: UnifiedFindingInput
): Finding[] {
let candidateFindings =
collectMaterialFindings(
input.outputs
);
let ranked =
rankFindingsByDecisionRelevance(
candidateFindings
);
return ranked.map(finding => {
let evidencePaths =
input.evidence_graph
.pathsToSources(
finding.finding_id
);
let dependencyPaths =
input.dependency_graph
.upstreamDependencies(
finding.finding_id
);
let confidence =
calibrateFindingConfidence({
evidence_paths:
evidencePaths,
dependency_paths:
dependencyPaths,
conflicts:
input.conflicts,
source_diversity:
countDistinctSources(
evidencePaths
)
});
return {
...finding,
confidence,
evidence_paths:
evidencePaths,
dependency_paths:
dependencyPaths,
unresolved_conflicts:
findRelevantConflicts(
finding,
input.conflicts
)
};
});
}
/* ============================================================================================ */
/* GLOBAL VERIFICATION / SAFETY / QUALITY CONTROL
/* ============================================================================================ */
function runGlobalVerificationSuite(
output: ReconciledOutput,
evidenceGraph: DirectedGraph,
request: WorkflowRequest
): VerifiedOutput {
let schema =
validateAgainstSchema(
output,
request.output_schema
);
let citations =
validateAllMaterialCitations(
output,
evidenceGraph
);
let quantities =
validateAllQuantitativeClaims(
output,
evidenceGraph
);
let entities =
validateEntityConsistency(
output
);
let temporal =
validateTemporalConsistency(
output
);
let legal =
validateLegalCharacterization(
output,
evidenceGraph
);
let causality =
validateCausalLanguage(
output
);
let coverage =
evaluateQuestionCoverage(
output,
request.questions
);
let uncertainty =
validateUncertaintyCalibration(
output
);
let privacy =
validatePrivacyAndRedaction(
output
);
let policy =
validateOperationalPolicy(
output
);
return {
output,
validation: {
schema,
citations,
quantities,
entities,
temporal,
legal,
causality,
coverage,
uncertainty,
privacy,
policy
},
passed:
schema.passed &&
citations.passed &&
quantities.passed &&
entities.passed &&
temporal.passed &&
legal.passed &&
causality.passed &&
coverage.passed &&
uncertainty.passed &&
privacy.passed &&
policy.passed,
warnings:
collectValidationWarnings([
schema,
citations,
quantities,
entities,
temporal,
legal,
causality,
coverage,
uncertainty,
privacy,
policy
])
};
}
function validateAllMaterialCitations(
output: ReconciledOutput,
evidenceGraph: DirectedGraph
): ValidationResult {
let statements =
enumerateMaterialStatements(
output
);
let failures = [];
for (statement in statements) {
let citations =
findStatementCitations(
statement
);
if (citations.length === 0) {
failures.push({
statement_id:
statement.statement_id,
reason:
"missing_citation"
});
continue;
}
let support =
citations.map(citation =>
verifyCitationSupport(
statement,
citation,
evidenceGraph
)
);
if (
!support.some(
result => result.entails
)
) {
failures.push({
statement_id:
statement.statement_id,
reason:
"citation_does_not_entail_statement"
});
}
if (
statement.claim_type ===
"quantitative" &&
!support.some(
result =>
result.exact_numeric_match
)
) {
failures.push({
statement_id:
statement.statement_id,
reason:
"numeric_value_not_found_in_evidence"
});
}
if (
statement.claim_type ===
"legal" &&
!support.some(
result =>
result.source_authority_level ===
"primary"
)
) {
failures.push({
statement_id:
statement.statement_id,
reason:
"primary_legal_authority_missing"
});
}
}
return {
passed:
failures.length === 0,
checked:
statements.length,
failures
};
}
function validateCausalLanguage(
output: ReconciledOutput
): ValidationResult {
let causalStatements =
detectCausalStatements(
output
);
let failures = [];
for (statement in causalStatements) {
let basis =
classifyCausalBasis(
statement
);
if (
basis === "correlation_only" ||
basis === "unsupported"
) {
failures.push({
statement_id:
statement.statement_id,
reason:
"causal_language_exceeds_evidence",
recommended_revision:
weakenCausalLanguage(
statement
)
});
}
}
return {
passed:
failures.length === 0,
checked:
causalStatements.length,
failures
};
}
/* ============================================================================================ */
/* HUMAN REVIEW / OUTPUT / AUDIT
/* ============================================================================================ */
function applyRiskAdaptiveHumanReview(
verified: VerifiedOutput,
request: WorkflowRequest
): ReviewedOutput {
let reviewPacket = {
workflow_id:
request.workflow_id,
high_impact_findings:
selectHighImpactFindings(
verified.output
),
unresolved_conflicts:
selectUnresolvedConflicts(
verified.output
),
low_confidence_items:
selectLowConfidenceItems(
verified.output,
CLAIM_CONFIDENCE_THRESHOLD
),
legal_interpretations:
selectLegalInterpretations(
verified.output
),
quantitative_transformations:
selectQuantitativeTransformations(
verified.output
),
policy_warnings:
verified.warnings,
failed_validations:
selectFailedValidations(
verified.validation
)
};
let required =
determineReviewRequirement({
packet:
reviewPacket,
request,
mode:
HUMAN_REVIEW_MODE
});
if (!required) {
return {
approved: true,
output:
verified.output,
review_summary: {
mode:
"automatic_low_risk",
reviewed_items:
0
}
};
}
let decisions =
requestHumanReview(
reviewPacket
);
return applyReviewDecisions({
verified,
decisions,
preserve_original_evidence: true,
preserve_revision_history: true,
record_reviewer_identity: true,
require_reason_for_override: true
});
}
function renderAuditReadyOutput(
reviewed: ReviewedOutput,
schema: JSONSchema
): WorkflowResult {
let structured =
projectToSchema(
reviewed.output,
schema
);
let executiveSummary =
renderExecutiveSummary(
reviewed.output
);
let findings =
renderFindings(
reviewed.output
);
let risks =
renderRiskRegister(
reviewed.output
);
let actions =
renderActionPlan(
reviewed.output
);
let citations =
renderSourceLineage(
reviewed.output,
{
include_source_title: true,
include_publisher: true,
include_publication_date: true,
include_effective_date: true,
include_page: true,
include_section: true,
include_span_hash: true,
include_access_date: true
}
);
let methodology =
renderMethodology({
retrieval:
"hybrid_dense_sparse_graph",
reranking:
"cross_encoder",
entity_resolution:
"constrained_graph_clustering",
claim_extraction:
"schema_constrained_evidence_bound",
calculations:
"formula_lineage_independent_recalculation",
review:
reviewed.review_summary
});
return {
status:
reviewed.approved
? "approved"
: "review_required",
generated_at:
now(),
executive_summary:
executiveSummary,
findings,
risks,
actions,
structured_output:
structured,
citations,
methodology,
limitations:
collectOutputLimitations(
reviewed.output
),
audit_reference:
generateAuditReference()
};
}
function persistImmutableAuditPackage(
input: AuditPackageInput
): void {
let packageData = {
workflow_id:
input.request.workflow_id,
request_hash:
stableHash(input.request),
execution_graph_hash:
stableHash(input.graph),
source_manifest:
input.sources.map(source => ({
source_id:
source.identity.source_id,
canonical_uri:
source.identity.canonical_uri,
content_hash:
source.identity.content_hash,
retrieved_at:
source.identity.retrieved_at
})),
entity_snapshot:
input.entities,
claim_snapshot:
input.claims,
metric_snapshot:
input.metrics,
conflict_snapshot:
input.conflicts,
evidence_graph_hash:
input.evidenceGraph.hash(),
review_snapshot:
input.reviewed.review_summary,
output_hash:
stableHash(input.rendered),
build_id:
BUILD_ID,
completed_at:
now()
};
appendOnlyAuditStore.write(
cryptographicallySeal(
packageData
)
);
}
/* ============================================================================================ */
/* TRANSFORMER LAYER EXECUTION MAP
/* ============================================================================================ */
layer[00].execute({
block_group: 0,
pre_norm: "rms_norm",
attention: {
type: "grouped_query_flash_attention",
query_heads: 128,
key_value_heads: 16,
head_dimension: 128,
rotary_embedding: "long_context_scaled_rope",
causal_mask: true,
kv_cache: "paged_fp8"
},
residual_connection: "parallel_safe",
feed_forward: {
type: "sparse_mixture_of_experts",
experts_total: 128,
experts_active: 8,
activation: "silu_gated",
router: "top_k_capacity_aware",
load_balance_monitor: true
},
numerical_guards: {
finite_check: true,
overflow_check: true,
accumulation_dtype: "fp32"
}
});
layer[01].execute({
block_group: 0,
pre_norm: "rms_norm",
attention: {
type: "grouped_query_flash_attention",
query_heads: 128,
key_value_heads: 16,
head_dimension: 128,
rotary_embedding: "long_context_scaled_rope",
causal_mask: true,
kv_cache: "paged_fp8"
},
residual_connection: "parallel_safe",
feed_forward: {
type: "sparse_mixture_of_experts",
experts_total: 128,
experts_active: 8,
activation: "silu_gated",
router: "top_k_capacity_aware",
load_balance_monitor: true
},
numerical_guards: {
finite_check: true,
overflow_check: true,
accumulation_dtype: "fp32"
}
});
layer[02].execute({
block_group: 0,
pre_norm: "rms_norm",
attention: {
type: "grouped_query_flash_attention",
query_heads: 128,
key_value_heads: 16,
head_dimension: 128,
rotary_embedding: "long_context_scaled_rope",
causal_mask: true,
kv_cache: "paged_fp8"
},
residual_connection: "parallel_safe",
feed_forward: {
type: "sparse_mixture_of_experts",
experts_total: 128,
experts_active: 8,
activation: "silu_gated",
router: "top_k_capacity_aware",
load_balance_monitor: true
},
numerical_guards: {
finite_check: true,
overflow_check: true,
accumulation_dtype: "fp32"
}
});
layer[03].execute({
block_group: 0,
pre_norm: "rms_norm",
attention: {
type: "grouped_query_flash_attention",
query_heads: 128,
key_value_heads: 16,
head_dimension: 128,
rotary_embedding: "long_context_scaled_rope",
causal_mask: true,
kv_cache: "paged_fp8"
},
residual_connection: "parallel_safe",
feed_forward: {
type: "sparse_mixture_of_experts",
experts_total: 128,
experts_active: 8,
activation: "silu_gated",
router: "top_k_capacity_aware",
load_balance_monitor: true
},
numerical_guards: {
finite_check: true,
overflow_check: true,
accumulation_dtype: "fp32"
}
});
layer[04].execute({
block_group: 0,
pre_norm: "rms_norm",
attention: {
type: "grouped_query_flash_attention",
query_heads: 128,
key_value_heads: 16,
head_dimension: 128,
rotary_embedding: "long_context_scaled_rope",
causal_mask: true,
kv_cache: "paged_fp8"
},
residual_connection: "parallel_safe",
feed_forward: {
type: "sparse_mixture_of_experts",
experts_total: 128,
experts_active: 8,
activation: "silu_gated",
router: "top_k_capacity_aware",
load_balance_monitor: true
},
numerical_guards: {
finite_check: true,
overflow_check: true,
accumulation_dtype: "fp32"
}
});
layer[05].execute({
block_group: 0,
pre_norm: "rms_norm",
attention: {
type: "grouped_query_flash_attention",
query_heads: 128,
key_value_heads: 16,
head_dimension: 128,
rotary_embedding: "long_context_scaled_rope",
causal_mask: true,
kv_cache: "paged_fp8"
},
residual_connection: "parallel_safe",
feed_forward: {
type: "sparse_mixture_of_experts",
experts_total: 128,
experts_active: 8,
activation: "silu_gated",
router: "top_k_capacity_aware",
load_balance_monitor: true
},
numerical_guards: {
finite_check: true,
overflow_check: true,
accumulation_dtype: "fp32"
}
});
layer[06].execute({
block_group: 0,
pre_norm: "rms_norm",
attention: {
type: "grouped_query_flash_attention",
query_heads: 128,
key_value_heads: 16,
head_dimension: 128,
rotary_embedding: "long_context_scaled_rope",
causal_mask: true,
kv_cache: "paged_fp8"
},
residual_connection: "parallel_safe",
feed_forward: {
type: "sparse_mixture_of_experts",
experts_total: 128,
experts_active: 8,
activation: "silu_gated",
router: "top_k_capacity_aware",
load_balance_monitor: true
},
numerical_guards: {
finite_check: true,
overflow_check: true,
accumulation_dtype: "fp32"
}
});
layer[07].execute({
block_group: 0,
pre_norm: "rms_norm",
attention: {
type: "grouped_query_flash_attention",
query_heads: 128,
key_value_heads: 16,
head_dimension: 128,
rotary_embedding: "long_context_scaled_rope",
causal_mask: true,
kv_cache: "paged_fp8"
},
residual_connection: "parallel_safe",
feed_forward: {
type: "sparse_mixture_of_experts",
experts_total: 128,
experts_active: 8,
activation: "silu_gated",
router: "top_k_capacity_aware",
load_balance_monitor: true
},
numerical_guards: {
finite_check: true,
overflow_check: true,
accumulation_dtype: "fp32"
}
});
layer[08].execute({
block_group: 1,
pre_norm: "rms_norm",
attention: {
type: "grouped_query_flash_attention",
query_heads: 128,
key_value_heads: 16,
head_dimension: 128,
rotary_embedding: "long_context_scaled_rope",
causal_mask: true,
kv_cache: "paged_fp8"
},
residual_connection: "parallel_safe",
feed_forward: {
type: "sparse_mixture_of_experts",
experts_total: 128,
experts_active: 8,
activation: "silu_gated",
router: "top_k_capacity_aware",
load_balance_monitor: true
},
numerical_guards: {
finite_check: true,
overflow_check: true,
accumulation_dtype: "fp32"
}
});
layer[09].execute({
block_group: 1,
pre_norm: "rms_norm",
attention: {
type: "grouped_query_flash_attention",
query_heads: 128,
key_value_heads: 16,
head_dimension: 128,
rotary_embedding: "long_context_scaled_rope",
causal_mask: true,
kv_cache: "paged_fp8"
},
residual_connection: "parallel_safe",
feed_forward: {
type: "sparse_mixture_of_experts",
experts_total: 128,
experts_active: 8,
activation: "silu_gated",
router: "top_k_capacity_aware",
load_balance_monitor: true
},
numerical_guards: {
finite_check: true,
overflow_check: true,
accumulation_dtype: "fp32"
}
});
layer[10].execute({
block_group: 1,
pre_norm: "rms_norm",
attention: {
type: "grouped_query_flash_attention",
query_heads: 128,
key_value_heads: 16,
head_dimension: 128,
rotary_embedding: "long_context_scaled_rope",
causal_mask: true,
kv_cache: "paged_fp8"
},
residual_connection: "parallel_safe",
feed_forward: {
type: "sparse_mixture_of_experts",
experts_total: 128,
experts_active: 8,
activation: "silu_gated",
router: "top_k_capacity_aware",
load_balance_monitor: true
},
numerical_guards: {
finite_check: true,
overflow_check: true,
accumulation_dtype: "fp32"
}
});
layer[11].execute({
block_group: 1,
pre_norm: "rms_norm",
attention: {
type: "grouped_query_flash_attention",
query_heads: 128,
key_value_heads: 16,
head_dimension: 128,
rotary_embedding: "long_context_scaled_rope",
causal_mask: true,
kv_cache: "paged_fp8"
},
residual_connection: "parallel_safe",
feed_forward: {
type: "sparse_mixture_of_experts",
experts_total: 128,
experts_active: 8,
activation: "silu_gated",
router: "top_k_capacity_aware",
load_balance_monitor: true
},
numerical_guards: {
finite_check: true,
overflow_check: true,
accumulation_dtype: "fp32"
}
});
layer[12].execute({
block_group: 1,
pre_norm: "rms_norm",
attention: {
type: "grouped_query_flash_attention",
query_heads: 128,
key_value_heads: 16,
head_dimension: 128,
rotary_embedding: "long_context_scaled_rope",
causal_mask: true,
kv_cache: "paged_fp8"
},
residual_connection: "parallel_safe",
feed_forward: {
type: "sparse_mixture_of_experts",
experts_total: 128,
experts_active: 8,
activation: "silu_gated",
router: "top_k_capacity_aware",
load_balance_monitor: true
},
numerical_guards: {
finite_check: true,
overflow_check: true,
accumulation_dtype: "fp32"
}
});
layer[13].execute({
block_group: 1,
pre_norm: "rms_norm",
attention: {
type: "grouped_query_flash_attention",
query_heads: 128,
key_value_heads: 16,
head_dimension: 128,
rotary_embedding: "long_context_scaled_rope",
causal_mask: true,
kv_cache: "paged_fp8"
},
residual_connection: "parallel_safe",
feed_forward: {
type: "sparse_mixture_of_experts",
experts_total: 128,
experts_active: 8,
activation: "silu_gated",
router: "top_k_capacity_aware",
load_balance_monitor: true
},
numerical_guards: {
finite_check: true,
overflow_check: true,
accumulation_dtype: "fp32"
}
});
layer[14].execute({
block_group: 1,
pre_norm: "rms_norm",
attention: {
type: "grouped_query_flash_attention",
query_heads: 128,
key_value_heads: 16,
head_dimension: 128,
rotary_embedding: "long_context_scaled_rope",
causal_mask: true,
kv_cache: "paged_fp8"
},
residual_connection: "parallel_safe",
feed_forward: {
type: "sparse_mixture_of_experts",
experts_total: 128,
experts_active: 8,
activation: "silu_gated",
router: "top_k_capacity_aware",
load_balance_monitor: true
},
numerical_guards: {
finite_check: true,
overflow_check: true,
accumulation_dtype: "fp32"
}
});
layer[15].execute({
block_group: 1,
pre_norm: "rms_norm",
attention: {
type: "grouped_query_flash_attention",
query_heads: 128,
key_value_heads: 16,
head_dimension: 128,
rotary_embedding: "long_context_scaled_rope",
causal_mask: true,
kv_cache: "paged_fp8"
},
residual_connection: "parallel_safe",
feed_forward: {
type: "sparse_mixture_of_experts",
experts_total: 128,
experts_active: 8,
activation: "silu_gated",
router: "top_k_capacity_aware",
load_balance_monitor: true
},
numerical_guards: {
finite_check: true,
overflow_check: true,
accumulation_dtype: "fp32"
}
});
layer[16].execute({
block_group: 2,
pre_norm: "rms_norm",
attention: {
type: "grouped_query_flash_attention",
query_heads: 128,
key_value_heads: 16,
head_dimension: 128,
rotary_embedding: "long_context_scaled_rope",
causal_mask: true,
kv_cache: "paged_fp8"
},
residual_connection: "parallel_safe",
feed_forward: {
type: "sparse_mixture_of_experts",
experts_total: 128,
experts_active: 8,
activation: "silu_gated",
router: "top_k_capacity_aware",
load_balance_monitor: true
},
numerical_guards: {
finite_check: true,
overflow_check: true,
accumulation_dtype: "fp32"
}
});
layer[17].execute({
block_group: 2,
pre_norm: "rms_norm",
attention: {
type: "grouped_query_flash_attention",
query_heads: 128,
key_value_heads: 16,
head_dimension: 128,
rotary_embedding: "long_context_scaled_rope",
causal_mask: true,
kv_cache: "paged_fp8"
},
residual_connection: "parallel_safe",
feed_forward: {
type: "sparse_mixture_of_experts",
experts_total: 128,
experts_active: 8,
activation: "silu_gated",
router: "top_k_capacity_aware",
load_balance_monitor: true
},
numerical_guards: {
finite_check: true,
overflow_check: true,
accumulation_dtype: "fp32"
}
});
layer[18].execute({
block_group: 2,
pre_norm: "rms_norm",
attention: {
type: "grouped_query_flash_attention",
query_heads: 128,
key_value_heads: 16,
head_dimension: 128,
rotary_embedding: "long_context_scaled_rope",
causal_mask: true,
kv_cache: "paged_fp8"
},
residual_connection: "parallel_safe",
feed_forward: {
type: "sparse_mixture_of_experts",
experts_total: 128,
experts_active: 8,
activation: "silu_gated",
router: "top_k_capacity_aware",
load_balance_monitor: true
},
numerical_guards: {
finite_check: true,
overflow_check: true,
accumulation_dtype: "fp32"
}
});
layer[19].execute({
block_group: 2,
pre_norm: "rms_norm",
attention: {
type: "grouped_query_flash_attention",
query_heads: 128,
key_value_heads: 16,
head_dimension: 128,
rotary_embedding: "long_context_scaled_rope",
causal_mask: true,
kv_cache: "paged_fp8"
},
residual_connection: "parallel_safe",
feed_forward: {
type: "sparse_mixture_of_experts",
experts_total: 128,
experts_active: 8,
activation: "silu_gated",
router: "top_k_capacity_aware",
load_balance_monitor: true
},
numerical_guards: {
finite_check: true,
overflow_check: true,
accumulation_dtype: "fp32"
}
});
layer[20].execute({
block_group: 2,
pre_norm: "rms_norm",
attention: {
type: "grouped_query_flash_attention",
query_heads: 128,
key_value_heads: 16,
head_dimension: 128,
rotary_embedding: "long_context_scaled_rope",
causal_mask: true,
kv_cache: "paged_fp8"
},
residual_connection: "parallel_safe",
feed_forward: {
type: "sparse_mixture_of_experts",
experts_total: 128,
experts_active: 8,
activation: "silu_gated",
router: "top_k_capacity_aware",
load_balance_monitor: true
},
numerical_guards: {
finite_check: true,
overflow_check: true,
accumulation_dtype: "fp32"
}
});
layer[21].execute({
block_group: 2,
pre_norm: "rms_norm",
attention: {
type: "grouped_query_flash_attention",
query_heads: 128,
key_value_heads: 16,
head_dimension: 128,
rotary_embedding: "long_context_scaled_rope",
causal_mask: true,
kv_cache: "paged_fp8"
},
residual_connection: "parallel_safe",
feed_forward: {
type: "sparse_mixture_of_experts",
experts_total: 128,
experts_active: 8,
activation: "silu_gated",
router: "top_k_capacity_aware",
load_balance_monitor: true
},
numerical_guards: {
finite_check: true,
overflow_check: true,
accumulation_dtype: "fp32"
}
});
layer[22].execute({
block_group: 2,
pre_norm: "rms_norm",
attention: {
type: "grouped_query_flash_attention",
query_heads: 128,
key_value_heads: 16,
head_dimension: 128,
rotary_embedding: "long_context_scaled_rope",
causal_mask: true,
kv_cache: "paged_fp8"
},
residual_connection: "parallel_safe",
feed_forward: {
type: "sparse_mixture_of_experts",
experts_total: 128,
experts_active: 8,
activation: "silu_gated",
router: "top_k_capacity_aware",
load_balance_monitor: true
},
numerical_guards: {
finite_check: true,
overflow_check: true,
accumulation_dtype: "fp32"
}
});
layer[23].execute({
block_group: 2,
pre_norm: "rms_norm",
attention: {
type: "grouped_query_flash_attention",
query_heads: 128,
key_value_heads: 16,
head_dimension: 128,
rotary_embedding: "long_context_scaled_rope",
causal_mask: true,
kv_cache: "paged_fp8"
},
residual_connection: "parallel_safe",
feed_forward: {
type: "sparse_mixture_of_experts",
experts_total: 128,
experts_active: 8,
activation: "silu_gated",
router: "top_k_capacity_aware",
load_balance_monitor: true
},
numerical_guards: {
finite_check: true,
overflow_check: true,
accumulation_dtype: "fp32"
}
});
layer[24].execute({
block_group: 3,
pre_norm: "rms_norm",
attention: {
type: "grouped_query_flash_attention",
query_heads: 128,
key_value_heads: 16,
head_dimension: 128,
rotary_embedding: "long_context_scaled_rope",
causal_mask: true,
kv_cache: "paged_fp8"
},
residual_connection: "parallel_safe",
feed_forward: {
type: "sparse_mixture_of_experts",
experts_total: 128,
experts_active: 8,
activation: "silu_gated",
router: "top_k_capacity_aware",
load_balance_monitor: true
},
numerical_guards: {
finite_check: true,
overflow_check: true,
accumulation_dtype: "fp32"
}
});
layer[25].execute({
block_group: 3,
pre_norm: "rms_norm",
attention: {
type: "grouped_query_flash_attention",
query_heads: 128,
key_value_heads: 16,
head_dimension: 128,
rotary_embedding: "long_context_scaled_rope",
causal_mask: true,
kv_cache: "paged_fp8"
},
residual_connection: "parallel_safe",
feed_forward: {
type: "sparse_mixture_of_experts",
experts_total: 128,
experts_active: 8,
activation: "silu_gated",
router: "top_k_capacity_aware",
load_balance_monitor: true
},
numerical_guards: {
finite_check: true,
overflow_check: true,
accumulation_dtype: "fp32"
}
});
layer[26].execute({
block_group: 3,
pre_norm: "rms_norm",
attention: {
type: "grouped_query_flash_attention",
query_heads: 128,
key_value_heads: 16,
head_dimension: 128,
rotary_embedding: "long_context_scaled_rope",
causal_mask: true,
kv_cache: "paged_fp8"
},
residual_connection: "parallel_safe",
feed_forward: {
type: "sparse_mixture_of_experts",
experts_total: 128,
experts_active: 8,
activation: "silu_gated",
router: "top_k_capacity_aware",
load_balance_monitor: true
},
numerical_guards: {
finite_check: true,
overflow_check: true,
accumulation_dtype: "fp32"
}
});
layer[27].execute({
block_group: 3,
pre_norm: "rms_norm",
attention: {
type: "grouped_query_flash_attention",
query_heads: 128,
key_value_heads: 16,
head_dimension: 128,
rotary_embedding: "long_context_scaled_rope",
causal_mask: true,
kv_cache: "paged_fp8"
},
residual_connection: "parallel_safe",
feed_forward: {
type: "sparse_mixture_of_experts",
experts_total: 128,
experts_active: 8,
activation: "silu_gated",
router: "top_k_capacity_aware",
load_balance_monitor: true
},
numerical_guards: {
finite_check: true,
overflow_check: true,
accumulation_dtype: "fp32"
}
});
layer[28].execute({
block_group: 3,
pre_norm: "rms_norm",
attention: {
type: "grouped_query_flash_attention",
query_heads: 128,
key_value_heads: 16,
head_dimension: 128,
rotary_embedding: "long_context_scaled_rope",
causal_mask: true,
kv_cache: "paged_fp8"
},
residual_connection: "parallel_safe",
feed_forward: {
type: "sparse_mixture_of_experts",
experts_total: 128,
experts_active: 8,
activation: "silu_gated",
router: "top_k_capacity_aware",
load_balance_monitor: true
},
numerical_guards: {
finite_check: true,
overflow_check: true,
accumulation_dtype: "fp32"
}
});
layer[29].execute({
block_group: 3,
pre_norm: "rms_norm",
attention: {
type: "grouped_query_flash_attention",
query_heads: 128,
key_value_heads: 16,
head_dimension: 128,
rotary_embedding: "long_context_scaled_rope",
causal_mask: true,
kv_cache: "paged_fp8"
},
residual_connection: "parallel_safe",
feed_forward: {
type: "sparse_mixture_of_experts",
experts_total: 128,
experts_active: 8,
activation: "silu_gated",
router: "top_k_capacity_aware",
load_balance_monitor: true
},
numerical_guards: {
finite_check: true,
overflow_check: true,
accumulation_dtype: "fp32"
}
});
layer[30].execute({
block_group: 3,
pre_norm: "rms_norm",
attention: {
type: "grouped_query_flash_attention",
query_heads: 128,
key_value_heads: 16,
head_dimension: 128,
rotary_embedding: "long_context_scaled_rope",
causal_mask: true,
kv_cache: "paged_fp8"
},
residual_connection: "parallel_safe",
feed_forward: {
type: "sparse_mixture_of_experts",
experts_total: 128,
experts_active: 8,
activation: "silu_gated",
router: "top_k_capacity_aware",
load_balance_monitor: true
},
numerical_guards: {
finite_check: true,
overflow_check: true,
accumulation_dtype: "fp32"
}
});
layer[31].execute({
block_group: 3,
pre_norm: "rms_norm",
attention: {
type: "grouped_query_flash_attention",
query_heads: 128,
key_value_heads: 16,
head_dimension: 128,
rotary_embedding: "long_context_scaled_rope",
causal_mask: true,
kv_cache: "paged_fp8"
},
residual_connection: "parallel_safe",
feed_forward: {
type: "sparse_mixture_of_experts",
experts_total: 128,
experts_active: 8,
activation: "silu_gated",
router: "top_k_capacity_aware",
load_balance_monitor: true
},
numerical_guards: {
finite_check: true,
overflow_check: true,
accumulation_dtype: "fp32"
}
});
layer[32].execute({
block_group: 4,
pre_norm: "rms_norm",
attention: {
type: "grouped_query_flash_attention",
query_heads: 128,
key_value_heads: 16,
head_dimension: 128,
rotary_embedding: "long_context_scaled_rope",
causal_mask: true,
kv_cache: "paged_fp8"
},
residual_connection: "parallel_safe",
feed_forward: {
type: "sparse_mixture_of_experts",
experts_total: 128,
experts_active: 8,
activation: "silu_gated",
router: "top_k_capacity_aware",
load_balance_monitor: true
},
numerical_guards: {
finite_check: true,
overflow_check: true,
accumulation_dtype: "fp32"
}
});
layer[33].execute({
block_group: 4,
pre_norm: "rms_norm",
attention: {
type: "grouped_query_flash_attention",
query_heads: 128,
key_value_heads: 16,
head_dimension: 128,
rotary_embedding: "long_context_scaled_rope",
causal_mask: true,
kv_cache: "paged_fp8"
},
residual_connection: "parallel_safe",
feed_forward: {
type: "sparse_mixture_of_experts",
experts_total: 128,
experts_active: 8,
activation: "silu_gated",
router: "top_k_capacity_aware",
load_balance_monitor: true
},
numerical_guards: {
finite_check: true,
overflow_check: true,
accumulation_dtype: "fp32"
}
});
layer[34].execute({
block_group: 4,
pre_norm: "rms_norm",
attention: {
type: "grouped_query_flash_attention",
query_heads: 128,
key_value_heads: 16,
head_dimension: 128,
rotary_embedding: "long_context_scaled_rope",
causal_mask: true,
kv_cache: "paged_fp8"
},
residual_connection: "parallel_safe",
feed_forward: {
type: "sparse_mixture_of_experts",
experts_total: 128,
experts_active: 8,
activation: "silu_gated",
router: "top_k_capacity_aware",
load_balance_monitor: true
},
numerical_guards: {
finite_check: true,
overflow_check: true,
accumulation_dtype: "fp32"
}
});
layer[35].execute({
block_group: 4,
pre_norm: "rms_norm",
attention: {
type: "grouped_query_flash_attention",
query_heads: 128,
key_value_heads: 16,
head_dimension: 128,
rotary_embedding: "long_context_scaled_rope",
causal_mask: true,
kv_cache: "paged_fp8"
},
residual_connection: "parallel_safe",
feed_forward: {
type: "sparse_mixture_of_experts",
experts_total: 128,
experts_active: 8,
activation: "silu_gated",
router: "top_k_capacity_aware",
load_balance_monitor: true
},
numerical_guards: {
finite_check: true,
overflow_check: true,
accumulation_dtype: "fp32"
}
});
layer[36].execute({
block_group: 4,
pre_norm: "rms_norm",
attention: {
type: "grouped_query_flash_attention",
query_heads: 128,
key_value_heads: 16,
head_dimension: 128,
rotary_embedding: "long_context_scaled_rope",
causal_mask: true,
kv_cache: "paged_fp8"
},
residual_connection: "parallel_safe",
feed_forward: {
type: "sparse_mixture_of_experts",
experts_total: 128,
experts_active: 8,
activation: "silu_gated",
router: "top_k_capacity_aware",
load_balance_monitor: true
},
numerical_guards: {
finite_check: true,
overflow_check: true,
accumulation_dtype: "fp32"
}
});
layer[37].execute({
block_group: 4,
pre_norm: "rms_norm",
attention: {
type: "grouped_query_flash_attention",
query_heads: 128,
key_value_heads: 16,
head_dimension: 128,
rotary_embedding: "long_context_scaled_rope",
causal_mask: true,
kv_cache: "paged_fp8"
},
residual_connection: "parallel_safe",
feed_forward: {
type: "sparse_mixture_of_experts",
experts_total: 128,
experts_active: 8,
activation: "silu_gated",
router: "top_k_capacity_aware",
load_balance_monitor: true
},
numerical_guards: {
finite_check: true,
overflow_check: true,
accumulation_dtype: "fp32"
}
});
layer[38].execute({
block_group: 4,
pre_norm: "rms_norm",
attention: {
type: "grouped_query_flash_attention",
query_heads: 128,
key_value_heads: 16,
head_dimension: 128,
rotary_embedding: "long_context_scaled_rope",
causal_mask: true,
kv_cache: "paged_fp8"
},
residual_connection: "parallel_safe",
feed_forward: {
type: "sparse_mixture_of_experts",
experts_total: 128,
experts_active: 8,
activation: "silu_gated",
router: "top_k_capacity_aware",
load_balance_monitor: true
},
numerical_guards: {
finite_check: true,
overflow_check: true,
accumulation_dtype: "fp32"
}
});
layer[39].execute({
block_group: 4,
pre_norm: "rms_norm",
attention: {
type: "grouped_query_flash_attention",
query_heads: 128,
key_value_heads: 16,
head_dimension: 128,
rotary_embedding: "long_context_scaled_rope",
causal_mask: true,
kv_cache: "paged_fp8"
},
residual_connection: "parallel_safe",
feed_forward: {
type: "sparse_mixture_of_experts",
experts_total: 128,
experts_active: 8,
activation: "silu_gated",
router: "top_k_capacity_aware",
load_balance_monitor: true
},
numerical_guards: {
finite_check: true,
overflow_check: true,
accumulation_dtype: "fp32"
}
});
layer[40].execute({
block_group: 5,
pre_norm: "rms_norm",
attention: {
type: "grouped_query_flash_attention",
query_heads: 128,
key_value_heads: 16,
head_dimension: 128,
rotary_embedding: "long_context_scaled_rope",
causal_mask: true,
kv_cache: "paged_fp8"
},
residual_connection: "parallel_safe",
feed_forward: {
type: "sparse_mixture_of_experts",
experts_total: 128,
experts_active: 8,
activation: "silu_gated",
router: "top_k_capacity_aware",
load_balance_monitor: true
},
numerical_guards: {
finite_check: true,
overflow_check: true,
accumulation_dtype: "fp32"
}
});
layer[41].execute({
block_group: 5,
pre_norm: "rms_norm",
attention: {
type: "grouped_query_flash_attention",
query_heads: 128,
key_value_heads: 16,
head_dimension: 128,
rotary_embedding: "long_context_scaled_rope",
causal_mask: true,
kv_cache: "paged_fp8"
},
residual_connection: "parallel_safe",
feed_forward: {
type: "sparse_mixture_of_experts",
experts_total: 128,
experts_active: 8,
activation: "silu_gated",
router: "top_k_capacity_aware",
load_balance_monitor: true
},
numerical_guards: {
finite_check: true,
overflow_check: true,
accumulation_dtype: "fp32"
}
});
layer[42].execute({
block_group: 5,
pre_norm: "rms_norm",
attention: {
type: "grouped_query_flash_attention",
query_heads: 128,
key_value_heads: 16,
head_dimension: 128,
rotary_embedding: "long_context_scaled_rope",
causal_mask: true,
kv_cache: "paged_fp8"
},
residual_connection: "parallel_safe",
feed_forward: {
type: "sparse_mixture_of_experts",
experts_total: 128,
experts_active: 8,
activation: "silu_gated",
router: "top_k_capacity_aware",
load_balance_monitor: true
},
numerical_guards: {
finite_check: true,
overflow_check: true,
accumulation_dtype: "fp32"
}
});
layer[43].execute({
block_group: 5,
pre_norm: "rms_norm",
attention: {
type: "grouped_query_flash_attention",
query_heads: 128,
key_value_heads: 16,
head_dimension: 128,
rotary_embedding: "long_context_scaled_rope",
causal_mask: true,
kv_cache: "paged_fp8"
},
residual_connection: "parallel_safe",
feed_forward: {
type: "sparse_mixture_of_experts",
experts_total: 128,
experts_active: 8,
activation: "silu_gated",
router: "top_k_capacity_aware",
load_balance_monitor: true
},
numerical_guards: {
finite_check: true,
overflow_check: true,
accumulation_dtype: "fp32"
}
});
layer[44].execute({
block_group: 5,
pre_norm: "rms_norm",
attention: {
type: "grouped_query_flash_attention",
query_heads: 128,
key_value_heads: 16,
head_dimension: 128,
rotary_embedding: "long_context_scaled_rope",
causal_mask: true,
kv_cache: "paged_fp8"
},
residual_connection: "parallel_safe",
feed_forward: {
type: "sparse_mixture_of_experts",
experts_total: 128,
experts_active: 8,
activation: "silu_gated",
router: "top_k_capacity_aware",
load_balance_monitor: true
},
numerical_guards: {
finite_check: true,
overflow_check: true,
accumulation_dtype: "fp32"
}
});
layer[45].execute({
block_group: 5,
pre_norm: "rms_norm",
attention: {
type: "grouped_query_flash_attention",
query_heads: 128,
key_value_heads: 16,
head_dimension: 128,
rotary_embedding: "long_context_scaled_rope",
causal_mask: true,
kv_cache: "paged_fp8"
},
residual_connection: "parallel_safe",
feed_forward: {
type: "sparse_mixture_of_experts",
experts_total: 128,
experts_active: 8,
activation: "silu_gated",
router: "top_k_capacity_aware",
load_balance_monitor: true
},
numerical_guards: {
finite_check: true,
overflow_check: true,
accumulation_dtype: "fp32"
}
});
layer[46].execute({
block_group: 5,
pre_norm: "rms_norm",
attention: {
type: "grouped_query_flash_attention",
query_heads: 128,
key_value_heads: 16,
head_dimension: 128,
rotary_embedding: "long_context_scaled_rope",
causal_mask: true,
kv_cache: "paged_fp8"
},
residual_connection: "parallel_safe",
feed_forward: {
type: "sparse_mixture_of_experts",
experts_total: 128,
experts_active: 8,
activation: "silu_gated",
router: "top_k_capacity_aware",
load_balance_monitor: true
},
numerical_guards: {
finite_check: true,
overflow_check: true,
accumulation_dtype: "fp32"
}
});
layer[47].execute({
block_group: 5,
pre_norm: "rms_norm",
attention: {
type: "grouped_query_flash_attention",
query_heads: 128,
key_value_heads: 16,
head_dimension: 128,
rotary_embedding: "long_context_scaled_rope",
causal_mask: true,
kv_cache: "paged_fp8"
},
residual_connection: "parallel_safe",
feed_forward: {
type: "sparse_mixture_of_experts",
experts_total: 128,
experts_active: 8,
activation: "silu_gated",
router: "top_k_capacity_aware",
load_balance_monitor: true
},
numerical_guards: {
finite_check: true,
overflow_check: true,
accumulation_dtype: "fp32"
}
});
layer[48].execute({
block_group: 6,
pre_norm: "rms_norm",
attention: {
type: "grouped_query_flash_attention",
query_heads: 128,
key_value_heads: 16,
head_dimension: 128,
rotary_embedding: "long_context_scaled_rope",
causal_mask: true,
kv_cache: "paged_fp8"
},
residual_connection: "parallel_safe",
feed_forward: {
type: "sparse_mixture_of_experts",
experts_total: 128,
experts_active: 8,
activation: "silu_gated",
router: "top_k_capacity_aware",
load_balance_monitor: true
},
numerical_guards: {
finite_check: true,
overflow_check: true,
accumulation_dtype: "fp32"
}
});
layer[49].execute({
block_group: 6,
pre_norm: "rms_norm",
attention: {
type: "grouped_query_flash_attention",
query_heads: 128,
key_value_heads: 16,
head_dimension: 128,
rotary_embedding: "long_context_scaled_rope",
causal_mask: true,
kv_cache: "paged_fp8"
},
residual_connection: "parallel_safe",
feed_forward: {
type: "sparse_mixture_of_experts",
experts_total: 128,
experts_active: 8,
activation: "silu_gated",
router: "top_k_capacity_aware",
load_balance_monitor: true
},
numerical_guards: {
finite_check: true,
overflow_check: true,
accumulation_dtype: "fp32"
}
});
layer[50].execute({
block_group: 6,
pre_norm: "rms_norm",
attention: {
type: "grouped_query_flash_attention",
query_heads: 128,
key_value_heads: 16,
head_dimension: 128,
rotary_embedding: "long_context_scaled_rope",
causal_mask: true,
kv_cache: "paged_fp8"
},
residual_connection: "parallel_safe",
feed_forward: {
type: "sparse_mixture_of_experts",
experts_total: 128,
experts_active: 8,
activation: "silu_gated",
router: "top_k_capacity_aware",
load_balance_monitor: true
},
numerical_guards: {
finite_check: true,
overflow_check: true,
accumulation_dtype: "fp32"
}
});
layer[51].execute({
block_group: 6,
pre_norm: "rms_norm",
attention: {
type: "grouped_query_flash_attention",
query_heads: 128,
key_value_heads: 16,
head_dimension: 128,
rotary_embedding: "long_context_scaled_rope",
causal_mask: true,
kv_cache: "paged_fp8"
},
residual_connection: "parallel_safe",
feed_forward: {
type: "sparse_mixture_of_experts",
experts_total: 128,
experts_active: 8,
activation: "silu_gated",
router: "top_k_capacity_aware",
load_balance_monitor: true
},
numerical_guards: {
finite_check: true,
overflow_check: true,
accumulation_dtype: "fp32"
}
});
layer[52].execute({
block_group: 6,
pre_norm: "rms_norm",
attention: {
type: "grouped_query_flash_attention",
query_heads: 128,
key_value_heads: 16,
head_dimension: 128,
rotary_embedding: "long_context_scaled_rope",
causal_mask: true,
kv_cache: "paged_fp8"
},
residual_connection: "parallel_safe",
feed_forward: {
type: "sparse_mixture_of_experts",
experts_total: 128,
experts_active: 8,
activation: "silu_gated",
router: "top_k_capacity_aware",
load_balance_monitor: true
},
numerical_guards: {
finite_check: true,
overflow_check: true,
accumulation_dtype: "fp32"
}
});
layer[53].execute({
block_group: 6,
pre_norm: "rms_norm",
attention: {
type: "grouped_query_flash_attention",
query_heads: 128,
key_value_heads: 16,
head_dimension: 128,
rotary_embedding: "long_context_scaled_rope",
causal_mask: true,
kv_cache: "paged_fp8"
},
residual_connection: "parallel_safe",
feed_forward: {
type: "sparse_mixture_of_experts",
experts_total: 128,
experts_active: 8,
activation: "silu_gated",
router: "top_k_capacity_aware",
load_balance_monitor: true
},
numerical_guards: {
finite_check: true,
overflow_check: true,
accumulation_dtype: "fp32"
}
});
layer[54].execute({
block_group: 6,
pre_norm: "rms_norm",
attention: {
type: "grouped_query_flash_attention",
query_heads: 128,
key_value_heads: 16,
head_dimension: 128,
rotary_embedding: "long_context_scaled_rope",
causal_mask: true,
kv_cache: "paged_fp8"
},
residual_connection: "parallel_safe",
feed_forward: {
type: "sparse_mixture_of_experts",
experts_total: 128,
experts_active: 8,
activation: "silu_gated",
router: "top_k_capacity_aware",
load_balance_monitor: true
},
numerical_guards: {
finite_check: true,
overflow_check: true,
accumulation_dtype: "fp32"
}
});
layer[55].execute({
block_group: 6,
pre_norm: "rms_norm",
attention: {
type: "grouped_query_flash_attention",
query_heads: 128,
key_value_heads: 16,
head_dimension: 128,
rotary_embedding: "long_context_scaled_rope",
causal_mask: true,
kv_cache: "paged_fp8"
},
residual_connection: "parallel_safe",
feed_forward: {
type: "sparse_mixture_of_experts",
experts_total: 128,
experts_active: 8,
activation: "silu_gated",
router: "top_k_capacity_aware",
load_balance_monitor: true
},
numerical_guards: {
finite_check: true,
overflow_check: true,
accumulation_dtype: "fp32"
}
});
layer[56].execute({
block_group: 7,
pre_norm: "rms_norm",
attention: {
type: "grouped_query_flash_attention",
query_heads: 128,
key_value_heads: 16,
head_dimension: 128,
rotary_embedding: "long_context_scaled_rope",
causal_mask: true,
kv_cache: "paged_fp8"
},
residual_connection: "parallel_safe",
feed_forward: {
type: "sparse_mixture_of_experts",
experts_total: 128,
experts_active: 8,
activation: "silu_gated",
router: "top_k_capacity_aware",
load_balance_monitor: true
},
numerical_guards: {
finite_check: true,
overflow_check: true,
accumulation_dtype: "fp32"
}
});
layer[57].execute({
block_group: 7,
pre_norm: "rms_norm",
attention: {
type: "grouped_query_flash_attention",
query_heads: 128,
key_value_heads: 16,
head_dimension: 128,
rotary_embedding: "long_context_scaled_rope",
causal_mask: true,
kv_cache: "paged_fp8"
},
residual_connection: "parallel_safe",
feed_forward: {
type: "sparse_mixture_of_experts",
experts_total: 128,
experts_active: 8,
activation: "silu_gated",
router: "top_k_capacity_aware",
load_balance_monitor: true
},
numerical_guards: {
finite_check: true,
overflow_check: true,
accumulation_dtype: "fp32"
}
});
layer[58].execute({
block_group: 7,
pre_norm: "rms_norm",
attention: {
type: "grouped_query_flash_attention",
query_heads: 128,
key_value_heads: 16,
head_dimension: 128,
rotary_embedding: "long_context_scaled_rope",
causal_mask: true,
kv_cache: "paged_fp8"
},
residual_connection: "parallel_safe",
feed_forward: {
type: "sparse_mixture_of_experts",
experts_total: 128,
experts_active: 8,
activation: "silu_gated",
router: "top_k_capacity_aware",
load_balance_monitor: true
},
numerical_guards: {
finite_check: true,
overflow_check: true,
accumulation_dtype: "fp32"
}
});
layer[59].execute({
block_group: 7,
pre_norm: "rms_norm",
attention: {
type: "grouped_query_flash_attention",
query_heads: 128,
key_value_heads: 16,
head_dimension: 128,
rotary_embedding: "long_context_scaled_rope",
causal_mask: true,
kv_cache: "paged_fp8"
},
residual_connection: "parallel_safe",
feed_forward: {
type: "sparse_mixture_of_experts",
experts_total: 128,
experts_active: 8,
activation: "silu_gated",
router: "top_k_capacity_aware",
load_balance_monitor: true
},
numerical_guards: {
finite_check: true,
overflow_check: true,
accumulation_dtype: "fp32"
}
});
layer[60].execute({
block_group: 7,
pre_norm: "rms_norm",
attention: {
type: "grouped_query_flash_attention",
query_heads: 128,
key_value_heads: 16,
head_dimension: 128,
rotary_embedding: "long_context_scaled_rope",
causal_mask: true,
kv_cache: "paged_fp8"
},
residual_connection: "parallel_safe",
feed_forward: {
type: "sparse_mixture_of_experts",
experts_total: 128,
experts_active: 8,
activation: "silu_gated",
router: "top_k_capacity_aware",
load_balance_monitor: true
},
numerical_guards: {
finite_check: true,
overflow_check: true,
accumulation_dtype: "fp32"
}
});
layer[61].execute({
block_group: 7,
pre_norm: "rms_norm",
attention: {
type: "grouped_query_flash_attention",
query_heads: 128,
key_value_heads: 16,
head_dimension: 128,
rotary_embedding: "long_context_scaled_rope",
causal_mask: true,
kv_cache: "paged_fp8"
},
residual_connection: "parallel_safe",
feed_forward: {
type: "sparse_mixture_of_experts",
experts_total: 128,
experts_active: 8,
activation: "silu_gated",
router: "top_k_capacity_aware",
load_balance_monitor: true
},
numerical_guards: {
finite_check: true,
overflow_check: true,
accumulation_dtype: "fp32"
}
});
layer[62].execute({
block_group: 7,
pre_norm: "rms_norm",
attention: {
type: "grouped_query_flash_attention",
query_heads: 128,
key_value_heads: 16,
head_dimension: 128,
rotary_embedding: "long_context_scaled_rope",
causal_mask: true,
kv_cache: "paged_fp8"
},
residual_connection: "parallel_safe",
feed_forward: {
type: "sparse_mixture_of_experts",
experts_total: 128,
experts_active: 8,
activation: "silu_gated",
router: "top_k_capacity_aware",
load_balance_monitor: true
},
numerical_guards: {
finite_check: true,
overflow_check: true,
accumulation_dtype: "fp32"
}
});
layer[63].execute({
block_group: 7,
pre_norm: "rms_norm",
attention: {
type: "grouped_query_flash_attention",
query_heads: 128,
key_value_heads: 16,
head_dimension: 128,
rotary_embedding: "long_context_scaled_rope",
causal_mask: true,
kv_cache: "paged_fp8"
},
residual_connection: "parallel_safe",
feed_forward: {
type: "sparse_mixture_of_experts",
experts_total: 128,
experts_active: 8,
activation: "silu_gated",
router: "top_k_capacity_aware",
load_balance_monitor: true
},
numerical_guards: {
finite_check: true,
overflow_check: true,
accumulation_dtype: "fp32"
}
});
layer[64].execute({
block_group: 8,
pre_norm: "rms_norm",
attention: {
type: "grouped_query_flash_attention",
query_heads: 128,
key_value_heads: 16,
head_dimension: 128,
rotary_embedding: "long_context_scaled_rope",
causal_mask: true,
kv_cache: "paged_fp8"
},
residual_connection: "parallel_safe",
feed_forward: {
type: "sparse_mixture_of_experts",
experts_total: 128,
experts_active: 8,
activation: "silu_gated",
router: "top_k_capacity_aware",
load_balance_monitor: true
},
numerical_guards: {
finite_check: true,
overflow_check: true,
accumulation_dtype: "fp32"
}
});
layer[65].execute({
block_group: 8,
pre_norm: "rms_norm",
attention: {
type: "grouped_query_flash_attention",
query_heads: 128,
key_value_heads: 16,
head_dimension: 128,
rotary_embedding: "long_context_scaled_rope",
causal_mask: true,
kv_cache: "paged_fp8"
},
residual_connection: "parallel_safe",
feed_forward: {
type: "sparse_mixture_of_experts",
experts_total: 128,
experts_active: 8,
activation: "silu_gated",
router: "top_k_capacity_aware",
load_balance_monitor: true
},
numerical_guards: {
finite_check: true,
overflow_check: true,
accumulation_dtype: "fp32"
}
});
layer[66].execute({
block_group: 8,
pre_norm: "rms_norm",
attention: {
type: "grouped_query_flash_attention",
query_heads: 128,
key_value_heads: 16,
head_dimension: 128,
rotary_embedding: "long_context_scaled_rope",
causal_mask: true,
kv_cache: "paged_fp8"
},
residual_connection: "parallel_safe",
feed_forward: {
type: "sparse_mixture_of_experts",
experts_total: 128,
experts_active: 8,
activation: "silu_gated",
router: "top_k_capacity_aware",
load_balance_monitor: true
},
numerical_guards: {
finite_check: true,
overflow_check: true,
accumulation_dtype: "fp32"
}
});
layer[67].execute({
block_group: 8,
pre_norm: "rms_norm",
attention: {
type: "grouped_query_flash_attention",
query_heads: 128,
key_value_heads: 16,
head_dimension: 128,
rotary_embedding: "long_context_scaled_rope",
causal_mask: true,
kv_cache: "paged_fp8"
},
residual_connection: "parallel_safe",
feed_forward: {
type: "sparse_mixture_of_experts",
experts_total: 128,
experts_active: 8,
activation: "silu_gated",
router: "top_k_capacity_aware",
load_balance_monitor: true
},
numerical_guards: {
finite_check: true,
overflow_check: true,
accumulation_dtype: "fp32"
}
});
layer[68].execute({
block_group: 8,
pre_norm: "rms_norm",
attention: {
type: "grouped_query_flash_attention",
query_heads: 128,
key_value_heads: 16,
head_dimension: 128,
rotary_embedding: "long_context_scaled_rope",
causal_mask: true,
kv_cache: "paged_fp8"
},
residual_connection: "parallel_safe",
feed_forward: {
type: "sparse_mixture_of_experts",
experts_total: 128,
experts_active: 8,
activation: "silu_gated",
router: "top_k_capacity_aware",
load_balance_monitor: true
},
numerical_guards: {
finite_check: true,
overflow_check: true,
accumulation_dtype: "fp32"
}
});
layer[69].execute({
block_group: 8,
pre_norm: "rms_norm",
attention: {
type: "grouped_query_flash_attention",
query_heads: 128,
key_value_heads: 16,
head_dimension: 128,
rotary_embedding: "long_context_scaled_rope",
causal_mask: true,
kv_cache: "paged_fp8"
},
residual_connection: "parallel_safe",
feed_forward: {
type: "sparse_mixture_of_experts",
experts_total: 128,
experts_active: 8,
activation: "silu_gated",
router: "top_k_capacity_aware",
load_balance_monitor: true
},
numerical_guards: {
finite_check: true,
overflow_check: true,
accumulation_dtype: "fp32"
}
});
layer[70].execute({
block_group: 8,
pre_norm: "rms_norm",
attention: {
type: "grouped_query_flash_attention",
query_heads: 128,
key_value_heads: 16,
head_dimension: 128,
rotary_embedding: "long_context_scaled_rope",
causal_mask: true,
kv_cache: "paged_fp8"
},
residual_connection: "parallel_safe",
feed_forward: {
type: "sparse_mixture_of_experts",
experts_total: 128,
experts_active: 8,
activation: "silu_gated",
router: "top_k_capacity_aware",
load_balance_monitor: true
},
numerical_guards: {
finite_check: true,
overflow_check: true,
accumulation_dtype: "fp32"
}
});
layer[71].execute({
block_group: 8,
pre_norm: "rms_norm",
attention: {
type: "grouped_query_flash_attention",
query_heads: 128,
key_value_heads: 16,
head_dimension: 128,
rotary_embedding: "long_context_scaled_rope",
causal_mask: true,
kv_cache: "paged_fp8"
},
residual_connection: "parallel_safe",
feed_forward: {
type: "sparse_mixture_of_experts",
experts_total: 128,
experts_active: 8,
activation: "silu_gated",
router: "top_k_capacity_aware",
load_balance_monitor: true
},
numerical_guards: {
finite_check: true,
overflow_check: true,
accumulation_dtype: "fp32"
}
});
layer[72].execute({
block_group: 9,
pre_norm: "rms_norm",
attention: {
type: "grouped_query_flash_attention",
query_heads: 128,
key_value_heads: 16,
head_dimension: 128,
rotary_embedding: "long_context_scaled_rope",
causal_mask: true,
kv_cache: "paged_fp8"
},
residual_connection: "parallel_safe",
feed_forward: {
type: "sparse_mixture_of_experts",
experts_total: 128,
experts_active: 8,
activation: "silu_gated",
router: "top_k_capacity_aware",
load_balance_monitor: true
},
numerical_guards: {
finite_check: true,
overflow_check: true,
accumulation_dtype: "fp32"
}
});
layer[73].execute({
block_group: 9,
pre_norm: "rms_norm",
attention: {
type: "grouped_query_flash_attention",
query_heads: 128,
key_value_heads: 16,
head_dimension: 128,
rotary_embedding: "long_context_scaled_rope",
causal_mask: true,
kv_cache: "paged_fp8"
},
residual_connection: "parallel_safe",
feed_forward: {
type: "sparse_mixture_of_experts",
experts_total: 128,
experts_active: 8,
activation: "silu_gated",
router: "top_k_capacity_aware",
load_balance_monitor: true
},
numerical_guards: {
finite_check: true,
overflow_check: true,
accumulation_dtype: "fp32"
}
});
layer[74].execute({
block_group: 9,
pre_norm: "rms_norm",
attention: {
type: "grouped_query_flash_attention",
query_heads: 128,
key_value_heads: 16,
head_dimension: 128,
rotary_embedding: "long_context_scaled_rope",
causal_mask: true,
kv_cache: "paged_fp8"
},
residual_connection: "parallel_safe",
feed_forward: {
type: "sparse_mixture_of_experts",
experts_total: 128,
experts_active: 8,
activation: "silu_gated",
router: "top_k_capacity_aware",
load_balance_monitor: true
},
numerical_guards: {
finite_check: true,
overflow_check: true,
accumulation_dtype: "fp32"
}
});
layer[75].execute({
block_group: 9,
pre_norm: "rms_norm",
attention: {
type: "grouped_query_flash_attention",
query_heads: 128,
key_value_heads: 16,
head_dimension: 128,
rotary_embedding: "long_context_scaled_rope",
causal_mask: true,
kv_cache: "paged_fp8"
},
residual_connection: "parallel_safe",
feed_forward: {
type: "sparse_mixture_of_experts",
experts_total: 128,
experts_active: 8,
activation: "silu_gated",
router: "top_k_capacity_aware",
load_balance_monitor: true
},
numerical_guards: {
finite_check: true,
overflow_check: true,
accumulation_dtype: "fp32"
}
});
layer[76].execute({
block_group: 9,
pre_norm: "rms_norm",
attention: {
type: "grouped_query_flash_attention",
query_heads: 128,
key_value_heads: 16,
head_dimension: 128,
rotary_embedding: "long_context_scaled_rope",
causal_mask: true,
kv_cache: "paged_fp8"
},
residual_connection: "parallel_safe",
feed_forward: {
type: "sparse_mixture_of_experts",
experts_total: 128,
experts_active: 8,
activation: "silu_gated",
router: "top_k_capacity_aware",
load_balance_monitor: true
},
numerical_guards: {
finite_check: true,
overflow_check: true,
accumulation_dtype: "fp32"
}
});
layer[77].execute({
block_group: 9,
pre_norm: "rms_norm",
attention: {
type: "grouped_query_flash_attention",
query_heads: 128,
key_value_heads: 16,
head_dimension: 128,
rotary_embedding: "long_context_scaled_rope",
causal_mask: true,
kv_cache: "paged_fp8"
},
residual_connection: "parallel_safe",
feed_forward: {
type: "sparse_mixture_of_experts",
experts_total: 128,
experts_active: 8,
activation: "silu_gated",
router: "top_k_capacity_aware",
load_balance_monitor: true
},
numerical_guards: {
finite_check: true,
overflow_check: true,
accumulation_dtype: "fp32"
}
});
layer[78].execute({
block_group: 9,
pre_norm: "rms_norm",
attention: {
type: "grouped_query_flash_attention",
query_heads: 128,
key_value_heads: 16,
head_dimension: 128,
rotary_embedding: "long_context_scaled_rope",
causal_mask: true,
kv_cache: "paged_fp8"
},
residual_connection: "parallel_safe",
feed_forward: {
type: "sparse_mixture_of_experts",
experts_total: 128,
experts_active: 8,
activation: "silu_gated",
router: "top_k_capacity_aware",
load_balance_monitor: true
},
numerical_guards: {
finite_check: true,
overflow_check: true,
accumulation_dtype: "fp32"
}
});
layer[79].execute({
block_group: 9,
pre_norm: "rms_norm",
attention: {
type: "grouped_query_flash_attention",
query_heads: 128,
key_value_heads: 16,
head_dimension: 128,
rotary_embedding: "long_context_scaled_rope",
causal_mask: true,
kv_cache: "paged_fp8"
},
residual_connection: "parallel_safe",
feed_forward: {
type: "sparse_mixture_of_experts",
experts_total: 128,
experts_active: 8,
activation: "silu_gated",
router: "top_k_capacity_aware",
load_balance_monitor: true
},
numerical_guards: {
finite_check: true,
overflow_check: true,
accumulation_dtype: "fp32"
}
});
layer[80].execute({
block_group: 10,
pre_norm: "rms_norm",
attention: {
type: "grouped_query_flash_attention",
query_heads: 128,
key_value_heads: 16,
head_dimension: 128,
rotary_embedding: "long_context_scaled_rope",
causal_mask: true,
kv_cache: "paged_fp8"
},
residual_connection: "parallel_safe",
feed_forward: {
type: "sparse_mixture_of_experts",
experts_total: 128,
experts_active: 8,
activation: "silu_gated",
router: "top_k_capacity_aware",
load_balance_monitor: true
},
numerical_guards: {
finite_check: true,
overflow_check: true,
accumulation_dtype: "fp32"
}
});
layer[81].execute({
block_group: 10,
pre_norm: "rms_norm",
attention: {
type: "grouped_query_flash_attention",
query_heads: 128,
key_value_heads: 16,
head_dimension: 128,
rotary_embedding: "long_context_scaled_rope",
causal_mask: true,
kv_cache: "paged_fp8"
},
residual_connection: "parallel_safe",
feed_forward: {
type: "sparse_mixture_of_experts",
experts_total: 128,
experts_active: 8,
activation: "silu_gated",
router: "top_k_capacity_aware",
load_balance_monitor: true
},
numerical_guards: {
finite_check: true,
overflow_check: true,
accumulation_dtype: "fp32"
}
});
layer[82].execute({
block_group: 10,
pre_norm: "rms_norm",
attention: {
type: "grouped_query_flash_attention",
query_heads: 128,
key_value_heads: 16,
head_dimension: 128,
rotary_embedding: "long_context_scaled_rope",
causal_mask: true,
kv_cache: "paged_fp8"
},
residual_connection: "parallel_safe",
feed_forward: {
type: "sparse_mixture_of_experts",
experts_total: 128,
experts_active: 8,
activation: "silu_gated",
router: "top_k_capacity_aware",
load_balance_monitor: true
},
numerical_guards: {
finite_check: true,
overflow_check: true,
accumulation_dtype: "fp32"
}
});
layer[83].execute({
block_group: 10,
pre_norm: "rms_norm",
attention: {
type: "grouped_query_flash_attention",
query_heads: 128,
key_value_heads: 16,
head_dimension: 128,
rotary_embedding: "long_context_scaled_rope",
causal_mask: true,
kv_cache: "paged_fp8"
},
residual_connection: "parallel_safe",
feed_forward: {
type: "sparse_mixture_of_experts",
experts_total: 128,
experts_active: 8,
activation: "silu_gated",
router: "top_k_capacity_aware",
load_balance_monitor: true
},
numerical_guards: {
finite_check: true,
overflow_check: true,
accumulation_dtype: "fp32"
}
});
layer[84].execute({
block_group: 10,
pre_norm: "rms_norm",
attention: {
type: "grouped_query_flash_attention",
query_heads: 128,
key_value_heads: 16,
head_dimension: 128,
rotary_embedding: "long_context_scaled_rope",
causal_mask: true,
kv_cache: "paged_fp8"
},
residual_connection: "parallel_safe",
feed_forward: {
type: "sparse_mixture_of_experts",
experts_total: 128,
experts_active: 8,
activation: "silu_gated",
router: "top_k_capacity_aware",
load_balance_monitor: true
},
numerical_guards: {
finite_check: true,
overflow_check: true,
accumulation_dtype: "fp32"
}
});
layer[85].execute({
block_group: 10,
pre_norm: "rms_norm",
attention: {
type: "grouped_query_flash_attention",
query_heads: 128,
key_value_heads: 16,
head_dimension: 128,
rotary_embedding: "long_context_scaled_rope",
causal_mask: true,
kv_cache: "paged_fp8"
},
residual_connection: "parallel_safe",
feed_forward: {
type: "sparse_mixture_of_experts",
experts_total: 128,
experts_active: 8,
activation: "silu_gated",
router: "top_k_capacity_aware",
load_balance_monitor: true
},
numerical_guards: {
finite_check: true,
overflow_check: true,
accumulation_dtype: "fp32"
}
});
layer[86].execute({
block_group: 10,
pre_norm: "rms_norm",
attention: {
type: "grouped_query_flash_attention",
query_heads: 128,
key_value_heads: 16,
head_dimension: 128,
rotary_embedding: "long_context_scaled_rope",
causal_mask: true,
kv_cache: "paged_fp8"
},
residual_connection: "parallel_safe",
feed_forward: {
type: "sparse_mixture_of_experts",
experts_total: 128,
experts_active: 8,
activation: "silu_gated",
router: "top_k_capacity_aware",
load_balance_monitor: true
},
numerical_guards: {
finite_check: true,
overflow_check: true,
accumulation_dtype: "fp32"
}
});
layer[87].execute({
block_group: 10,
pre_norm: "rms_norm",
attention: {
type: "grouped_query_flash_attention",
query_heads: 128,
key_value_heads: 16,
head_dimension: 128,
rotary_embedding: "long_context_scaled_rope",
causal_mask: true,
kv_cache: "paged_fp8"
},
residual_connection: "parallel_safe",
feed_forward: {
type: "sparse_mixture_of_experts",
experts_total: 128,
experts_active: 8,
activation: "silu_gated",
router: "top_k_capacity_aware",
load_balance_monitor: true
},
numerical_guards: {
finite_check: true,
overflow_check: true,
accumulation_dtype: "fp32"
}
});
layer[88].execute({
block_group: 11,
pre_norm: "rms_norm",
attention: {
type: "grouped_query_flash_attention",
query_heads: 128,
key_value_heads: 16,
head_dimension: 128,
rotary_embedding: "long_context_scaled_rope",
causal_mask: true,
kv_cache: "paged_fp8"
},
residual_connection: "parallel_safe",
feed_forward: {
type: "sparse_mixture_of_experts",
experts_total: 128,
experts_active: 8,
activation: "silu_gated",
router: "top_k_capacity_aware",
load_balance_monitor: true
},
numerical_guards: {
finite_check: true,
overflow_check: true,
accumulation_dtype: "fp32"
}
});
layer[89].execute({
block_group: 11,
pre_norm: "rms_norm",
attention: {
type: "grouped_query_flash_attention",
query_heads: 128,
key_value_heads: 16,
head_dimension: 128,
rotary_embedding: "long_context_scaled_rope",
causal_mask: true,
kv_cache: "paged_fp8"
},
residual_connection: "parallel_safe",
feed_forward: {
type: "sparse_mixture_of_experts",
experts_total: 128,
experts_active: 8,
activation: "silu_gated",
router: "top_k_capacity_aware",
load_balance_monitor: true
},
numerical_guards: {
finite_check: true,
overflow_check: true,
accumulation_dtype: "fp32"
}
});
layer[90].execute({
block_group: 11,
pre_norm: "rms_norm",
attention: {
type: "grouped_query_flash_attention",
query_heads: 128,
key_value_heads: 16,
head_dimension: 128,
rotary_embedding: "long_context_scaled_rope",
causal_mask: true,
kv_cache: "paged_fp8"
},
residual_connection: "parallel_safe",
feed_forward: {
type: "sparse_mixture_of_experts",
experts_total: 128,
experts_active: 8,
activation: "silu_gated",
router: "top_k_capacity_aware",
load_balance_monitor: true
},
numerical_guards: {
finite_check: true,
overflow_check: true,
accumulation_dtype: "fp32"
}
});
layer[91].execute({
block_group: 11,
pre_norm: "rms_norm",
attention: {
type: "grouped_query_flash_attention",
query_heads: 128,
key_value_heads: 16,
head_dimension: 128,
rotary_embedding: "long_context_scaled_rope",
causal_mask: true,
kv_cache: "paged_fp8"
},
residual_connection: "parallel_safe",
feed_forward: {
type: "sparse_mixture_of_experts",
experts_total: 128,
experts_active: 8,
activation: "silu_gated",
router: "top_k_capacity_aware",
load_balance_monitor: true
},
numerical_guards: {
finite_check: true,
overflow_check: true,
accumulation_dtype: "fp32"
}
});
layer[92].execute({
block_group: 11,
pre_norm: "rms_norm",
attention: {
type: "grouped_query_flash_attention",
query_heads: 128,
key_value_heads: 16,
head_dimension: 128,
rotary_embedding: "long_context_scaled_rope",
causal_mask: true,
kv_cache: "paged_fp8"
},
residual_connection: "parallel_safe",
feed_forward: {
type: "sparse_mixture_of_experts",
experts_total: 128,
experts_active: 8,
activation: "silu_gated",
router: "top_k_capacity_aware",
load_balance_monitor: true
},
numerical_guards: {
finite_check: true,
overflow_check: true,
accumulation_dtype: "fp32"
}
});
layer[93].execute({
block_group: 11,
pre_norm: "rms_norm",
attention: {
type: "grouped_query_flash_attention",
query_heads: 128,
key_value_heads: 16,
head_dimension: 128,
rotary_embedding: "long_context_scaled_rope",
causal_mask: true,
kv_cache: "paged_fp8"
},
residual_connection: "parallel_safe",
feed_forward: {
type: "sparse_mixture_of_experts",
experts_total: 128,
experts_active: 8,
activation: "silu_gated",
router: "top_k_capacity_aware",
load_balance_monitor: true
},
numerical_guards: {
finite_check: true,
overflow_check: true,
accumulation_dtype: "fp32"
}
});
layer[94].execute({
block_group: 11,
pre_norm: "rms_norm",
attention: {
type: "grouped_query_flash_attention",
query_heads: 128,
key_value_heads: 16,
head_dimension: 128,
rotary_embedding: "long_context_scaled_rope",
causal_mask: true,
kv_cache: "paged_fp8"
},
residual_connection: "parallel_safe",
feed_forward: {
type: "sparse_mixture_of_experts",
experts_total: 128,
experts_active: 8,
activation: "silu_gated",
router: "top_k_capacity_aware",
load_balance_monitor: true
},
numerical_guards: {
finite_check: true,
overflow_check: true,
accumulation_dtype: "fp32"
}
});
layer[95].execute({
block_group: 11,
pre_norm: "rms_norm",
attention: {
type: "grouped_query_flash_attention",
query_heads: 128,
key_value_heads: 16,
head_dimension: 128,
rotary_embedding: "long_context_scaled_rope",
causal_mask: true,
kv_cache: "paged_fp8"
},
residual_connection: "parallel_safe",
feed_forward: {
type: "sparse_mixture_of_experts",
experts_total: 128,
experts_active: 8,
activation: "silu_gated",
router: "top_k_capacity_aware",
load_balance_monitor: true
},
numerical_guards: {
finite_check: true,
overflow_check: true,
accumulation_dtype: "fp32"
}
});
/* ============================================================================================ */
/* OPERATION REGISTRY / SHARED CAPABILITIES
/* ============================================================================================ */
operation.register({
id: "op_0001_source_discover",
namespace: "source",
action: "discover",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0002_source_authorize",
namespace: "source",
action: "authorize",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0003_source_fetch",
namespace: "source",
action: "fetch",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0004_source_snapshot",
namespace: "source",
action: "snapshot",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0005_source_fingerprint",
namespace: "source",
action: "fingerprint",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0006_source_canonicalize_uri",
namespace: "source",
action: "canonicalize_uri",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0007_source_detect_mime",
namespace: "source",
action: "detect_mime",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0008_source_decode",
namespace: "source",
action: "decode",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0009_source_validate_integrity",
namespace: "source",
action: "validate_integrity",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0010_source_score_authority",
namespace: "source",
action: "score_authority",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0011_source_score_freshness",
namespace: "source",
action: "score_freshness",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0012_source_score_completeness",
namespace: "source",
action: "score_completeness",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0013_source_deduplicate",
namespace: "source",
action: "deduplicate",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0014_source_cluster_versions",
namespace: "source",
action: "cluster_versions",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0015_source_resolve_publisher",
namespace: "source",
action: "resolve_publisher",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0016_source_resolve_jurisdiction",
namespace: "source",
action: "resolve_jurisdiction",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0017_source_resolve_publication_date",
namespace: "source",
action: "resolve_publication_date",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0018_source_resolve_effective_date",
namespace: "source",
action: "resolve_effective_date",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0019_source_preserve_original",
namespace: "source",
action: "preserve_original",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0020_source_record_lineage",
namespace: "source",
action: "record_lineage",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0021_source_enforce_access_policy",
namespace: "source",
action: "enforce_access_policy",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0022_document_reconstruct_pages",
namespace: "document",
action: "reconstruct_pages",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0023_document_analyze_layout",
namespace: "document",
action: "analyze_layout",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0024_document_infer_reading_order",
namespace: "document",
action: "infer_reading_order",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0025_document_remove_headers",
namespace: "document",
action: "remove_headers",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0026_document_remove_footers",
namespace: "document",
action: "remove_footers",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0027_document_repair_hyphenation",
namespace: "document",
action: "repair_hyphenation",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0028_document_normalize_unicode",
namespace: "document",
action: "normalize_unicode",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0029_document_resolve_footnotes",
namespace: "document",
action: "resolve_footnotes",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0030_document_extract_tables",
namespace: "document",
action: "extract_tables",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0031_document_extract_figures",
namespace: "document",
action: "extract_figures",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0032_document_link_captions",
namespace: "document",
action: "link_captions",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0033_document_detect_sections",
namespace: "document",
action: "detect_sections",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0034_document_detect_definitions",
namespace: "document",
action: "detect_definitions",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0035_document_detect_appendices",
namespace: "document",
action: "detect_appendices",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0036_document_detect_signatures",
namespace: "document",
action: "detect_signatures",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0037_document_detect_stamps",
namespace: "document",
action: "detect_stamps",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0038_document_detect_amendments",
namespace: "document",
action: "detect_amendments",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0039_document_detect_redactions",
namespace: "document",
action: "detect_redactions",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0040_document_preserve_coordinates",
namespace: "document",
action: "preserve_coordinates",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0041_document_compute_hash",
namespace: "document",
action: "compute_hash",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0042_retrieval_expand_query",
namespace: "retrieval",
action: "expand_query",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0043_retrieval_generate_aliases",
namespace: "retrieval",
action: "generate_aliases",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0044_retrieval_expand_acronyms",
namespace: "retrieval",
action: "expand_acronyms",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0045_retrieval_expand_legal_terms",
namespace: "retrieval",
action: "expand_legal_terms",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0046_retrieval_expand_financial_terms",
namespace: "retrieval",
action: "expand_financial_terms",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0047_retrieval_expand_temporal_variants",
namespace: "retrieval",
action: "expand_temporal_variants",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0048_retrieval_dense_search",
namespace: "retrieval",
action: "dense_search",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0049_retrieval_sparse_search",
namespace: "retrieval",
action: "sparse_search",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0050_retrieval_entity_search",
namespace: "retrieval",
action: "entity_search",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0051_retrieval_temporal_filter",
namespace: "retrieval",
action: "temporal_filter",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0052_retrieval_metadata_filter",
namespace: "retrieval",
action: "metadata_filter",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0053_retrieval_legal_citation_search",
namespace: "retrieval",
action: "legal_citation_search",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0054_retrieval_graph_expand",
namespace: "retrieval",
action: "graph_expand",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0055_retrieval_fuse_rankings",
namespace: "retrieval",
action: "fuse_rankings",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0056_retrieval_cross_encode",
namespace: "retrieval",
action: "cross_encode",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0057_retrieval_diversify",
namespace: "retrieval",
action: "diversify",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0058_retrieval_score_authority",
namespace: "retrieval",
action: "score_authority",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0059_retrieval_score_freshness",
namespace: "retrieval",
action: "score_freshness",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0060_retrieval_select_context",
namespace: "retrieval",
action: "select_context",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0061_retrieval_detect_coverage_gap",
namespace: "retrieval",
action: "detect_coverage_gap",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0062_retrieval_issue_followup_query",
namespace: "retrieval",
action: "issue_followup_query",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0063_entity_detect_mentions",
namespace: "entity",
action: "detect_mentions",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0064_entity_classify_type",
namespace: "entity",
action: "classify_type",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0065_entity_normalize_name",
namespace: "entity",
action: "normalize_name",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0066_entity_extract_identifiers",
namespace: "entity",
action: "extract_identifiers",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0067_entity_infer_jurisdiction",
namespace: "entity",
action: "infer_jurisdiction",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0068_entity_infer_event_time",
namespace: "entity",
action: "infer_event_time",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0069_entity_generate_aliases",
namespace: "entity",
action: "generate_aliases",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0070_entity_block_candidates",
namespace: "entity",
action: "block_candidates",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0071_entity_score_name_similarity",
namespace: "entity",
action: "score_name_similarity",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0072_entity_score_identifier_compatibility",
namespace: "entity",
action: "score_identifier_compatibility",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0073_entity_score_context_similarity",
namespace: "entity",
action: "score_context_similarity",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0074_entity_score_temporal_compatibility",
namespace: "entity",
action: "score_temporal_compatibility",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0075_entity_cluster_mentions",
namespace: "entity",
action: "cluster_mentions",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0076_entity_select_canonical_name",
namespace: "entity",
action: "select_canonical_name",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0077_entity_merge_identifiers",
namespace: "entity",
action: "merge_identifiers",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0078_entity_resolve_parent",
namespace: "entity",
action: "resolve_parent",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0079_entity_resolve_subsidiary",
namespace: "entity",
action: "resolve_subsidiary",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0080_entity_resolve_agency",
namespace: "entity",
action: "resolve_agency",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0081_entity_resolve_vendor",
namespace: "entity",
action: "resolve_vendor",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0082_entity_resolve_program",
namespace: "entity",
action: "resolve_program",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0083_entity_calibrate_confidence",
namespace: "entity",
action: "calibrate_confidence",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0084_claim_detect",
namespace: "claim",
action: "detect",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0085_claim_extract_subject",
namespace: "claim",
action: "extract_subject",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0086_claim_extract_predicate",
namespace: "claim",
action: "extract_predicate",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0087_claim_extract_object",
namespace: "claim",
action: "extract_object",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0088_claim_extract_qualifiers",
namespace: "claim",
action: "extract_qualifiers",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0089_claim_extract_negation",
namespace: "claim",
action: "extract_negation",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0090_claim_extract_modality",
namespace: "claim",
action: "extract_modality",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0091_claim_extract_conditions",
namespace: "claim",
action: "extract_conditions",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0092_claim_extract_exceptions",
namespace: "claim",
action: "extract_exceptions",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0093_claim_extract_event_time",
namespace: "claim",
action: "extract_event_time",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0094_claim_extract_effective_time",
namespace: "claim",
action: "extract_effective_time",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0095_claim_classify_type",
namespace: "claim",
action: "classify_type",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0096_claim_link_entity",
namespace: "claim",
action: "link_entity",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0097_claim_bind_evidence",
namespace: "claim",
action: "bind_evidence",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0098_claim_deduplicate",
namespace: "claim",
action: "deduplicate",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0099_claim_calibrate_confidence",
namespace: "claim",
action: "calibrate_confidence",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0100_claim_detect_contradiction",
namespace: "claim",
action: "detect_contradiction",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0101_claim_detect_dependency",
namespace: "claim",
action: "detect_dependency",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0102_claim_classify_evidence_state",
namespace: "claim",
action: "classify_evidence_state",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0103_claim_verbalize",
namespace: "claim",
action: "verbalize",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0104_metric_detect",
namespace: "metric",
action: "detect",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0105_metric_parse_value",
namespace: "metric",
action: "parse_value",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0106_metric_parse_unit",
namespace: "metric",
action: "parse_unit",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0107_metric_parse_scale",
namespace: "metric",
action: "parse_scale",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0108_metric_parse_currency",
namespace: "metric",
action: "parse_currency",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0109_metric_parse_period",
namespace: "metric",
action: "parse_period",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0110_metric_parse_dimensions",
namespace: "metric",
action: "parse_dimensions",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0111_metric_bind_row_header",
namespace: "metric",
action: "bind_row_header",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0112_metric_bind_column_header",
namespace: "metric",
action: "bind_column_header",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0113_metric_bind_footnote",
namespace: "metric",
action: "bind_footnote",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0114_metric_detect_restatement",
namespace: "metric",
action: "detect_restatement",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0115_metric_detect_estimate",
namespace: "metric",
action: "detect_estimate",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0116_metric_detect_forecast",
namespace: "metric",
action: "detect_forecast",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0117_metric_detect_non_gaap",
namespace: "metric",
action: "detect_non_gaap",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0118_metric_normalize_unit",
namespace: "metric",
action: "normalize_unit",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0119_metric_normalize_currency",
namespace: "metric",
action: "normalize_currency",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0120_metric_normalize_scale",
namespace: "metric",
action: "normalize_scale",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0121_metric_normalize_period",
namespace: "metric",
action: "normalize_period",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0122_metric_canonicalize_name",
namespace: "metric",
action: "canonicalize_name",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0123_metric_score_confidence",
namespace: "metric",
action: "score_confidence",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0124_metric_build_series",
namespace: "metric",
action: "build_series",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0125_metric_calculate_growth",
namespace: "metric",
action: "calculate_growth",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0126_metric_calculate_margin",
namespace: "metric",
action: "calculate_margin",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0127_metric_validate_formula",
namespace: "metric",
action: "validate_formula",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0128_timeline_extract_dates",
namespace: "timeline",
action: "extract_dates",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0129_timeline_normalize_dates",
namespace: "timeline",
action: "normalize_dates",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0130_timeline_resolve_partial_dates",
namespace: "timeline",
action: "resolve_partial_dates",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0131_timeline_resolve_relative_dates",
namespace: "timeline",
action: "resolve_relative_dates",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0132_timeline_resolve_effective_dates",
namespace: "timeline",
action: "resolve_effective_dates",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0133_timeline_resolve_event_dates",
namespace: "timeline",
action: "resolve_event_dates",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0134_timeline_order_events",
namespace: "timeline",
action: "order_events",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0135_timeline_infer_before_after",
namespace: "timeline",
action: "infer_before_after",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0136_timeline_infer_overlap",
namespace: "timeline",
action: "infer_overlap",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0137_timeline_infer_duration",
namespace: "timeline",
action: "infer_duration",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0138_timeline_detect_temporal_conflict",
namespace: "timeline",
action: "detect_temporal_conflict",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0139_timeline_detect_period_mismatch",
namespace: "timeline",
action: "detect_period_mismatch",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0140_timeline_detect_version_order",
namespace: "timeline",
action: "detect_version_order",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0141_timeline_link_events_to_entities",
namespace: "timeline",
action: "link_events_to_entities",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0142_timeline_link_events_to_claims",
namespace: "timeline",
action: "link_events_to_claims",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0143_timeline_link_events_to_metrics",
namespace: "timeline",
action: "link_events_to_metrics",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0144_diligence_identify_target",
namespace: "diligence",
action: "identify_target",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0145_diligence_reconstruct_business_model",
namespace: "diligence",
action: "reconstruct_business_model",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0146_diligence_define_market",
namespace: "diligence",
action: "define_market",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0147_diligence_map_products",
namespace: "diligence",
action: "map_products",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0148_diligence_map_customers",
namespace: "diligence",
action: "map_customers",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0149_diligence_map_competitors",
namespace: "diligence",
action: "map_competitors",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0150_diligence_map_suppliers",
namespace: "diligence",
action: "map_suppliers",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0151_diligence_map_channels",
namespace: "diligence",
action: "map_channels",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0152_diligence_build_financial_profile",
namespace: "diligence",
action: "build_financial_profile",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0153_diligence_assess_revenue_quality",
namespace: "diligence",
action: "assess_revenue_quality",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0154_diligence_assess_customer_concentration",
namespace: "diligence",
action: "assess_customer_concentration",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0155_diligence_assess_retention",
namespace: "diligence",
action: "assess_retention",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0156_diligence_assess_pricing",
namespace: "diligence",
action: "assess_pricing",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0157_diligence_assess_unit_economics",
namespace: "diligence",
action: "assess_unit_economics",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0158_diligence_assess_market_growth",
namespace: "diligence",
action: "assess_market_growth",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0159_diligence_assess_market_share",
namespace: "diligence",
action: "assess_market_share",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0160_diligence_assess_product_differentiation",
namespace: "diligence",
action: "assess_product_differentiation",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0161_diligence_assess_switching_costs",
namespace: "diligence",
action: "assess_switching_costs",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0162_diligence_assess_operational_dependencies",
namespace: "diligence",
action: "assess_operational_dependencies",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0163_diligence_assess_management_depth",
namespace: "diligence",
action: "assess_management_depth",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0164_diligence_score_risks",
namespace: "diligence",
action: "score_risks",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0165_diligence_identify_value_creation",
namespace: "diligence",
action: "identify_value_creation",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0166_diligence_generate_followups",
namespace: "diligence",
action: "generate_followups",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0167_regulatory_identify_authority",
namespace: "regulatory",
action: "identify_authority",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0168_regulatory_identify_instrument",
namespace: "regulatory",
action: "identify_instrument",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0169_regulatory_parse_provision",
namespace: "regulatory",
action: "parse_provision",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0170_regulatory_extract_obligation",
namespace: "regulatory",
action: "extract_obligation",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0171_regulatory_extract_prohibition",
namespace: "regulatory",
action: "extract_prohibition",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0172_regulatory_extract_permission",
namespace: "regulatory",
action: "extract_permission",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0173_regulatory_extract_exemption",
namespace: "regulatory",
action: "extract_exemption",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0174_regulatory_extract_threshold",
namespace: "regulatory",
action: "extract_threshold",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0175_regulatory_extract_deadline",
namespace: "regulatory",
action: "extract_deadline",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0176_regulatory_extract_enforcement",
namespace: "regulatory",
action: "extract_enforcement",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0177_regulatory_resolve_version",
namespace: "regulatory",
action: "resolve_version",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0178_regulatory_align_provisions",
namespace: "regulatory",
action: "align_provisions",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0179_regulatory_detect_insertion",
namespace: "regulatory",
action: "detect_insertion",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0180_regulatory_detect_deletion",
namespace: "regulatory",
action: "detect_deletion",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0181_regulatory_detect_scope_change",
namespace: "regulatory",
action: "detect_scope_change",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0182_regulatory_detect_threshold_change",
namespace: "regulatory",
action: "detect_threshold_change",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0183_regulatory_detect_deadline_change",
namespace: "regulatory",
action: "detect_deadline_change",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0184_regulatory_detect_enforcement_change",
namespace: "regulatory",
action: "detect_enforcement_change",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0185_regulatory_evaluate_applicability",
namespace: "regulatory",
action: "evaluate_applicability",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0186_regulatory_evaluate_operational_impact",
namespace: "regulatory",
action: "evaluate_operational_impact",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0187_regulatory_generate_action_plan",
namespace: "regulatory",
action: "generate_action_plan",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0188_regulatory_monitor_future_effective_date",
namespace: "regulatory",
action: "monitor_future_effective_date",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0189_regulatory_flag_primary_authority_gap",
namespace: "regulatory",
action: "flag_primary_authority_gap",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0190_public_sector_identify_agency",
namespace: "public_sector",
action: "identify_agency",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0191_public_sector_identify_program",
namespace: "public_sector",
action: "identify_program",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0192_public_sector_identify_procurement",
namespace: "public_sector",
action: "identify_procurement",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0193_public_sector_identify_award",
namespace: "public_sector",
action: "identify_award",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0194_public_sector_identify_vendor",
namespace: "public_sector",
action: "identify_vendor",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0195_public_sector_identify_beneficiary",
namespace: "public_sector",
action: "identify_beneficiary",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0196_public_sector_resolve_location",
namespace: "public_sector",
action: "resolve_location",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0197_public_sector_link_contract_number",
namespace: "public_sector",
action: "link_contract_number",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0198_public_sector_link_award_id",
namespace: "public_sector",
action: "link_award_id",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0199_public_sector_link_vendor_id",
namespace: "public_sector",
action: "link_vendor_id",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0200_public_sector_link_agency_code",
namespace: "public_sector",
action: "link_agency_code",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0201_public_sector_link_program_code",
namespace: "public_sector",
action: "link_program_code",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0202_public_sector_reconstruct_funding_flow",
namespace: "public_sector",
action: "reconstruct_funding_flow",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0203_public_sector_assess_delivery_status",
namespace: "public_sector",
action: "assess_delivery_status",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0204_public_sector_detect_duplicate_record",
namespace: "public_sector",
action: "detect_duplicate_record",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0205_public_sector_detect_missing_record",
namespace: "public_sector",
action: "detect_missing_record",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0206_public_sector_detect_amount_variance",
namespace: "public_sector",
action: "detect_amount_variance",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0207_public_sector_detect_date_variance",
namespace: "public_sector",
action: "detect_date_variance",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0208_public_sector_resolve_record_ambiguity",
namespace: "public_sector",
action: "resolve_record_ambiguity",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0209_public_sector_construct_operational_picture",
namespace: "public_sector",
action: "construct_operational_picture",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0210_public_sector_generate_time_critical_output",
namespace: "public_sector",
action: "generate_time_critical_output",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0211_research_frame_question",
namespace: "research",
action: "frame_question",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0212_research_identify_dataset",
namespace: "research",
action: "identify_dataset",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0213_research_extract_definition",
namespace: "research",
action: "extract_definition",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0214_research_build_metric_series",
namespace: "research",
action: "build_metric_series",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0215_research_evaluate_comparability",
namespace: "research",
action: "evaluate_comparability",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0216_research_align_units",
namespace: "research",
action: "align_units",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0217_research_align_currencies",
namespace: "research",
action: "align_currencies",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0218_research_align_periods",
namespace: "research",
action: "align_periods",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0219_research_align_geographies",
namespace: "research",
action: "align_geographies",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0220_research_align_populations",
namespace: "research",
action: "align_populations",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0221_research_align_methodologies",
namespace: "research",
action: "align_methodologies",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0222_research_calculate",
namespace: "research",
action: "calculate",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0223_research_independently_recalculate",
namespace: "research",
action: "independently_recalculate",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0224_research_detect_outlier",
namespace: "research",
action: "detect_outlier",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0225_research_test_sensitivity",
namespace: "research",
action: "test_sensitivity",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0226_research_derive_finding",
namespace: "research",
action: "derive_finding",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0227_research_separate_fact_interpretation",
namespace: "research",
action: "separate_fact_interpretation",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0228_research_synthesize_narrative",
namespace: "research",
action: "synthesize_narrative",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0229_research_propose_visualization",
namespace: "research",
action: "propose_visualization",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0230_research_attach_source_note",
namespace: "research",
action: "attach_source_note",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0231_research_disclose_missing_data",
namespace: "research",
action: "disclose_missing_data",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0232_research_disclose_transformation",
namespace: "research",
action: "disclose_transformation",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0233_validation_validate_schema",
namespace: "validation",
action: "validate_schema",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0234_validation_validate_citation",
namespace: "validation",
action: "validate_citation",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0235_validation_validate_entailment",
namespace: "validation",
action: "validate_entailment",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0236_validation_validate_numeric_match",
namespace: "validation",
action: "validate_numeric_match",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0237_validation_validate_legal_authority",
namespace: "validation",
action: "validate_legal_authority",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0238_validation_validate_entity_consistency",
namespace: "validation",
action: "validate_entity_consistency",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0239_validation_validate_temporal_consistency",
namespace: "validation",
action: "validate_temporal_consistency",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0240_validation_validate_unit_compatibility",
namespace: "validation",
action: "validate_unit_compatibility",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0241_validation_validate_period_compatibility",
namespace: "validation",
action: "validate_period_compatibility",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0242_validation_validate_scope_compatibility",
namespace: "validation",
action: "validate_scope_compatibility",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0243_validation_validate_causal_language",
namespace: "validation",
action: "validate_causal_language",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0244_validation_validate_uncertainty",
namespace: "validation",
action: "validate_uncertainty",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0245_validation_validate_question_coverage",
namespace: "validation",
action: "validate_question_coverage",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0246_validation_validate_source_diversity",
namespace: "validation",
action: "validate_source_diversity",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0247_validation_validate_privacy",
namespace: "validation",
action: "validate_privacy",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0248_validation_validate_redaction",
namespace: "validation",
action: "validate_redaction",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0249_validation_validate_policy",
namespace: "validation",
action: "validate_policy",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0250_validation_validate_output_hash",
namespace: "validation",
action: "validate_output_hash",
execution_mode: "deterministic_when_possible",
requires_evidence: true,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0251_audit_record_event",
namespace: "audit",
action: "record_event",
execution_mode: "deterministic_when_possible",
requires_evidence: false,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0252_audit_record_input_hash",
namespace: "audit",
action: "record_input_hash",
execution_mode: "deterministic_when_possible",
requires_evidence: false,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0253_audit_record_plan_hash",
namespace: "audit",
action: "record_plan_hash",
execution_mode: "deterministic_when_possible",
requires_evidence: false,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0254_audit_record_source_manifest",
namespace: "audit",
action: "record_source_manifest",
execution_mode: "deterministic_when_possible",
requires_evidence: false,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0255_audit_record_retrieval_path",
namespace: "audit",
action: "record_retrieval_path",
execution_mode: "deterministic_when_possible",
requires_evidence: false,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0256_audit_record_entity_snapshot",
namespace: "audit",
action: "record_entity_snapshot",
execution_mode: "deterministic_when_possible",
requires_evidence: false,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0257_audit_record_claim_snapshot",
namespace: "audit",
action: "record_claim_snapshot",
execution_mode: "deterministic_when_possible",
requires_evidence: false,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0258_audit_record_metric_snapshot",
namespace: "audit",
action: "record_metric_snapshot",
execution_mode: "deterministic_when_possible",
requires_evidence: false,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0259_audit_record_conflict_snapshot",
namespace: "audit",
action: "record_conflict_snapshot",
execution_mode: "deterministic_when_possible",
requires_evidence: false,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0260_audit_record_evidence_graph_hash",
namespace: "audit",
action: "record_evidence_graph_hash",
execution_mode: "deterministic_when_possible",
requires_evidence: false,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0261_audit_record_calculation_lineage",
namespace: "audit",
action: "record_calculation_lineage",
execution_mode: "deterministic_when_possible",
requires_evidence: false,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0262_audit_record_review_decision",
namespace: "audit",
action: "record_review_decision",
execution_mode: "deterministic_when_possible",
requires_evidence: false,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0263_audit_record_override_reason",
namespace: "audit",
action: "record_override_reason",
execution_mode: "deterministic_when_possible",
requires_evidence: false,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0264_audit_record_output_hash",
namespace: "audit",
action: "record_output_hash",
execution_mode: "deterministic_when_possible",
requires_evidence: false,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0265_audit_seal_package",
namespace: "audit",
action: "seal_package",
execution_mode: "deterministic_when_possible",
requires_evidence: false,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
operation.register({
id: "op_0266_audit_persist_append_only",
namespace: "audit",
action: "persist_append_only",
execution_mode: "deterministic_when_possible",
requires_evidence: false,
records_lineage: true,
retry_policy: "bounded_exponential",
failure_policy: "surface_and_qualify",
telemetry: {
latency: true,
token_usage: true,
source_count: true,
confidence_delta: true
}
});
/* ============================================================================================ */
/* PARALLEL WORKFLOW DAG
/* ============================================================================================ */
workflowGraph.addNode({
node_id: "W000",
name: "receive_objective",
stage: "RECEIVE",
dependencies: [],
parallelizable: true,
evidence_bound: true,
audit_enabled: true
});
workflowGraph.addNode({
node_id: "W010",
name: "interpret_intent",
stage: "INTERPRET",
dependencies: ["W000"],
parallelizable: true,
evidence_bound: true,
audit_enabled: true
});
workflowGraph.addNode({
node_id: "W020",
name: "decompose_questions",
stage: "DECOMPOSE",
dependencies: ["W010"],
parallelizable: true,
evidence_bound: true,
audit_enabled: true
});
workflowGraph.addNode({
node_id: "W030",
name: "compile_plan",
stage: "PLAN",
dependencies: ["W020"],
parallelizable: true,
evidence_bound: true,
audit_enabled: true
});
workflowGraph.addNode({
node_id: "W040",
name: "acquire_primary_sources",
stage: "ACQUIRE",
dependencies: ["W030"],
parallelizable: true,
evidence_bound: true,
audit_enabled: true
});
workflowGraph.addNode({
node_id: "W041",
name: "acquire_secondary_sources",
stage: "ACQUIRE",
dependencies: ["W030"],
parallelizable: true,
evidence_bound: true,
audit_enabled: true
});
workflowGraph.addNode({
node_id: "W050",
name: "normalize_documents",
stage: "NORMALIZE",
dependencies: ["W040", "W041"],
parallelizable: false,
evidence_bound: true,
audit_enabled: true
});
workflowGraph.addNode({
node_id: "W060",
name: "segment_corpus",
stage: "INDEX",
dependencies: ["W050"],
parallelizable: true,
evidence_bound: true,
audit_enabled: true
});
workflowGraph.addNode({
node_id: "W061",
name: "build_dense_index",
stage: "INDEX",
dependencies: ["W060"],
parallelizable: true,
evidence_bound: true,
audit_enabled: true
});
workflowGraph.addNode({
node_id: "W062",
name: "build_sparse_index",
stage: "INDEX",
dependencies: ["W060"],
parallelizable: true,
evidence_bound: true,
audit_enabled: true
});
workflowGraph.addNode({
node_id: "W063",
name: "build_temporal_index",
stage: "INDEX",
dependencies: ["W060"],
parallelizable: true,
evidence_bound: true,
audit_enabled: true
});
workflowGraph.addNode({
node_id: "W064",
name: "build_entity_index",
stage: "INDEX",
dependencies: ["W060"],
parallelizable: true,
evidence_bound: true,
audit_enabled: true
});
workflowGraph.addNode({
node_id: "W070",
name: "retrieve_diligence_evidence",
stage: "RETRIEVE",
dependencies: ["W061", "W062", "W064"],
parallelizable: false,
evidence_bound: true,
audit_enabled: true
});
workflowGraph.addNode({
node_id: "W071",
name: "retrieve_regulatory_evidence",
stage: "RETRIEVE",
dependencies: ["W061", "W062", "W063"],
parallelizable: false,
evidence_bound: true,
audit_enabled: true
});
workflowGraph.addNode({
node_id: "W072",
name: "retrieve_public_sector_evidence",
stage: "RETRIEVE",
dependencies: ["W061", "W062", "W064"],
parallelizable: false,
evidence_bound: true,
audit_enabled: true
});
workflowGraph.addNode({
node_id: "W073",
name: "retrieve_research_evidence",
stage: "RETRIEVE",
dependencies: ["W061", "W062", "W063"],
parallelizable: false,
evidence_bound: true,
audit_enabled: true
});
workflowGraph.addNode({
node_id: "W080",
name: "resolve_shared_entities",
stage: "RESOLVE",
dependencies: ["W070", "W071", "W072", "W073"],
parallelizable: false,
evidence_bound: true,
audit_enabled: true
});
workflowGraph.addNode({
node_id: "W090",
name: "extract_claims",
stage: "EXTRACT",
dependencies: ["W080"],
parallelizable: true,
evidence_bound: true,
audit_enabled: true
});
workflowGraph.addNode({
node_id: "W091",
name: "extract_metrics",
stage: "EXTRACT",
dependencies: ["W080"],
parallelizable: true,
evidence_bound: true,
audit_enabled: true
});
workflowGraph.addNode({
node_id: "W092",
name: "construct_timeline",
stage: "EXTRACT",
dependencies: ["W090", "W091"],
parallelizable: false,
evidence_bound: true,
audit_enabled: true
});
workflowGraph.addNode({
node_id: "W093",
name: "detect_conflicts",
stage: "VERIFY",
dependencies: ["W090", "W091", "W092"],
parallelizable: false,
evidence_bound: true,
audit_enabled: true
});
workflowGraph.addNode({
node_id: "W100",
name: "analyze_diligence",
stage: "ANALYZE",
dependencies: ["W090", "W091", "W093"],
parallelizable: false,
evidence_bound: true,
audit_enabled: true
});
workflowGraph.addNode({
node_id: "W101",
name: "analyze_regulation",
stage: "ANALYZE",
dependencies: ["W090", "W092", "W093"],
parallelizable: false,
evidence_bound: true,
audit_enabled: true
});
workflowGraph.addNode({
node_id: "W102",
name: "analyze_public_sector",
stage: "ANALYZE",
dependencies: ["W080", "W091", "W092"],
parallelizable: false,
evidence_bound: true,
audit_enabled: true
});
workflowGraph.addNode({
node_id: "W103",
name: "analyze_research",
stage: "ANALYZE",
dependencies: ["W090", "W091", "W092"],
parallelizable: false,
evidence_bound: true,
audit_enabled: true
});
workflowGraph.addNode({
node_id: "W110",
name: "reconcile_workflows",
stage: "SYNTHESIZE",
dependencies: ["W100", "W101", "W102", "W103"],
parallelizable: false,
evidence_bound: true,
audit_enabled: true
});
workflowGraph.addNode({
node_id: "W120",
name: "validate_global_output",
stage: "VERIFY",
dependencies: ["W110"],
parallelizable: true,
evidence_bound: true,
audit_enabled: true
});
workflowGraph.addNode({
node_id: "W130",
name: "human_review_gate",
stage: "REVIEW",
dependencies: ["W120"],
parallelizable: true,
evidence_bound: true,
audit_enabled: true
});
workflowGraph.addNode({
node_id: "W140",
name: "render_deliverable",
stage: "RENDER",
dependencies: ["W130"],
parallelizable: true,
evidence_bound: true,
audit_enabled: true
});
workflowGraph.addNode({
node_id: "W150",
name: "persist_audit_package",
stage: "AUDIT",
dependencies: ["W140"],
parallelizable: true,
evidence_bound: true,
audit_enabled: true
});
/* ============================================================================================ */
/* DEEP EXECUTION TRACE
/* ============================================================================================ */
[00:00.020] trace=000001 cycle=01 runtime.initialize status=complete confidence=0.87 evidence_paths=14 latency_ms=29
[00:00.053] trace=000002 cycle=01 model.load_shards status=complete confidence=0.94 evidence_paths=25 latency_ms=46
[00:00.070] trace=000003 cycle=01 tokenizer.compile_vocabulary status=complete confidence=0.82 evidence_paths=36 latency_ms=63
[00:00.100] trace=000004 cycle=01 scheduler.compile_execution_graph status=complete confidence=0.89 evidence_paths=47 latency_ms=80
[00:00.114] trace=000005 cycle=01 source.acquire status=complete confidence=0.96 evidence_paths=11 latency_ms=97
[00:00.141] trace=000006 cycle=01 document.normalize status=complete confidence=0.84 evidence_paths=22 latency_ms=114
[00:00.152] trace=000007 cycle=01 index.build status=complete confidence=0.91 evidence_paths=33 latency_ms=131
[00:00.176] trace=000008 cycle=01 retrieval.execute status=complete confidence=0.98 evidence_paths=44 latency_ms=148
[00:00.184] trace=000009 cycle=01 entity.resolve status=complete confidence=0.86 evidence_paths=8 latency_ms=165
[00:00.205] trace=000010 cycle=01 claim.extract status=complete confidence=0.93 evidence_paths=19 latency_ms=182
[00:00.239] trace=000011 cycle=01 metric.extract status=complete confidence=0.81 evidence_paths=30 latency_ms=199
[00:00.257] trace=000012 cycle=01 timeline.construct status=complete confidence=0.88 evidence_paths=41 latency_ms=216
[00:00.288] trace=000013 cycle=01 conflict.detect status=complete confidence=0.95 evidence_paths=5 latency_ms=22
[00:00.303] trace=000014 cycle=01 diligence.analyze status=complete confidence=0.83 evidence_paths=16 latency_ms=39
[00:00.331] trace=000015 cycle=01 regulatory.analyze status=complete confidence=0.90 evidence_paths=27 latency_ms=56
[00:00.343] trace=000016 cycle=01 public_sector.analyze status=complete confidence=0.97 evidence_paths=38 latency_ms=73
[00:00.368] trace=000017 cycle=01 research.analyze status=complete confidence=0.85 evidence_paths=49 latency_ms=90
[00:00.377] trace=000018 cycle=01 reconciliation.merge status=complete confidence=0.92 evidence_paths=13 latency_ms=107
[00:00.399] trace=000019 cycle=01 validation.run status=complete confidence=0.80 evidence_paths=24 latency_ms=124
[00:00.434] trace=000020 cycle=01 human_review.apply status=complete confidence=0.87 evidence_paths=35 latency_ms=141
[00:00.453] trace=000021 cycle=01 output.render status=complete confidence=0.94 evidence_paths=46 latency_ms=158
[00:00.485] trace=000022 cycle=01 audit.persist status=complete confidence=0.82 evidence_paths=10 latency_ms=175
[00:00.501] trace=000023 cycle=02 runtime.initialize status=complete confidence=0.89 evidence_paths=21 latency_ms=192
[00:00.530] trace=000024 cycle=02 model.load_shards status=complete confidence=0.96 evidence_paths=32 latency_ms=209
[00:00.543] trace=000025 cycle=02 tokenizer.compile_vocabulary status=complete confidence=0.84 evidence_paths=43 latency_ms=15
[00:00.569] trace=000026 cycle=02 scheduler.compile_execution_graph status=complete confidence=0.91 evidence_paths=7 latency_ms=32
[00:00.579] trace=000027 cycle=02 source.acquire status=complete confidence=0.98 evidence_paths=18 latency_ms=49
[00:00.602] trace=000028 cycle=02 document.normalize status=complete confidence=0.86 evidence_paths=29 latency_ms=66
[00:00.609] trace=000029 cycle=02 index.build status=complete confidence=0.93 evidence_paths=40 latency_ms=83
[00:00.629] trace=000030 cycle=02 retrieval.execute status=complete confidence=0.81 evidence_paths=4 latency_ms=100
[00:00.662] trace=000031 cycle=02 entity.resolve status=complete confidence=0.88 evidence_paths=15 latency_ms=117
[00:00.679] trace=000032 cycle=02 claim.extract status=complete confidence=0.95 evidence_paths=26 latency_ms=134
[00:00.709] trace=000033 cycle=02 metric.extract status=complete confidence=0.83 evidence_paths=37 latency_ms=151
[00:00.723] trace=000034 cycle=02 timeline.construct status=complete confidence=0.90 evidence_paths=48 latency_ms=168
[00:00.750] trace=000035 cycle=02 conflict.detect status=complete confidence=0.97 evidence_paths=12 latency_ms=185
[00:00.761] trace=000036 cycle=02 diligence.analyze status=complete confidence=0.85 evidence_paths=23 latency_ms=202
[00:00.785] trace=000037 cycle=02 regulatory.analyze status=complete confidence=0.92 evidence_paths=34 latency_ms=219
[00:00.793] trace=000038 cycle=02 public_sector.analyze status=complete confidence=0.80 evidence_paths=45 latency_ms=25
[00:00.814] trace=000039 cycle=02 research.analyze status=complete confidence=0.87 evidence_paths=9 latency_ms=42
[00:00.848] trace=000040 cycle=02 reconciliation.merge status=complete confidence=0.94 evidence_paths=20 latency_ms=59
[00:00.866] trace=000041 cycle=02 validation.run status=complete confidence=0.82 evidence_paths=31 latency_ms=76
[00:00.897] trace=000042 cycle=02 human_review.apply status=complete confidence=0.89 evidence_paths=42 latency_ms=93
[00:00.912] trace=000043 cycle=02 output.render status=complete confidence=0.96 evidence_paths=6 latency_ms=110
[00:00.940] trace=000044 cycle=02 audit.persist status=complete confidence=0.84 evidence_paths=17 latency_ms=127
[00:00.952] trace=000045 cycle=03 runtime.initialize status=complete confidence=0.91 evidence_paths=28 latency_ms=144
[00:00.977] trace=000046 cycle=03 model.load_shards status=complete confidence=0.98 evidence_paths=39 latency_ms=161
[00:00.986] trace=000047 cycle=03 tokenizer.compile_vocabulary status=complete confidence=0.86 evidence_paths=3 latency_ms=178
[00:01.008] trace=000048 cycle=03 scheduler.compile_execution_graph status=complete confidence=0.93 evidence_paths=14 latency_ms=195
[00:01.043] trace=000049 cycle=03 source.acquire status=complete confidence=0.81 evidence_paths=25 latency_ms=212
[00:01.062] trace=000050 cycle=03 document.normalize status=complete confidence=0.88 evidence_paths=36 latency_ms=18
[00:01.094] trace=000051 cycle=03 index.build status=complete confidence=0.95 evidence_paths=47 latency_ms=35
[00:01.110] trace=000052 cycle=03 retrieval.execute status=complete confidence=0.83 evidence_paths=11 latency_ms=52
[00:01.139] trace=000053 cycle=03 entity.resolve status=complete confidence=0.90 evidence_paths=22 latency_ms=69
[00:01.152] trace=000054 cycle=03 claim.extract status=complete confidence=0.97 evidence_paths=33 latency_ms=86
[00:01.178] trace=000055 cycle=03 metric.extract status=complete confidence=0.85 evidence_paths=44 latency_ms=103
[00:01.188] trace=000056 cycle=03 timeline.construct status=complete confidence=0.92 evidence_paths=8 latency_ms=120
[00:01.211] trace=000057 cycle=03 conflict.detect status=complete confidence=0.80 evidence_paths=19 latency_ms=137
[00:01.218] trace=000058 cycle=03 diligence.analyze status=complete confidence=0.87 evidence_paths=30 latency_ms=154
[00:01.238] trace=000059 cycle=03 regulatory.analyze status=complete confidence=0.94 evidence_paths=41 latency_ms=171
[00:01.271] trace=000060 cycle=03 public_sector.analyze status=complete confidence=0.82 evidence_paths=5 latency_ms=188
[00:01.288] trace=000061 cycle=03 research.analyze status=complete confidence=0.89 evidence_paths=16 latency_ms=205
[00:01.318] trace=000062 cycle=03 reconciliation.merge status=complete confidence=0.96 evidence_paths=27 latency_ms=222
[00:01.332] trace=000063 cycle=03 validation.run status=complete confidence=0.84 evidence_paths=38 latency_ms=28
[00:01.359] trace=000064 cycle=03 human_review.apply status=complete confidence=0.91 evidence_paths=49 latency_ms=45
[00:01.370] trace=000065 cycle=03 output.render status=complete confidence=0.98 evidence_paths=13 latency_ms=62
[00:01.394] trace=000066 cycle=03 audit.persist status=complete confidence=0.86 evidence_paths=24 latency_ms=79
[00:01.402] trace=000067 cycle=04 runtime.initialize status=complete confidence=0.93 evidence_paths=35 latency_ms=96
[00:01.423] trace=000068 cycle=04 model.load_shards status=complete confidence=0.81 evidence_paths=46 latency_ms=113
[00:01.457] trace=000069 cycle=04 tokenizer.compile_vocabulary status=complete confidence=0.88 evidence_paths=10 latency_ms=130
[00:01.475] trace=000070 cycle=04 scheduler.compile_execution_graph status=complete confidence=0.95 evidence_paths=21 latency_ms=147
[00:01.506] trace=000071 cycle=04 source.acquire status=complete confidence=0.83 evidence_paths=32 latency_ms=164
[00:01.521] trace=000072 cycle=04 document.normalize status=complete confidence=0.90 evidence_paths=43 latency_ms=181
[00:01.549] trace=000073 cycle=04 index.build status=complete confidence=0.97 evidence_paths=7 latency_ms=198
[00:01.561] trace=000074 cycle=04 retrieval.execute status=complete confidence=0.85 evidence_paths=18 latency_ms=215
[00:01.586] trace=000075 cycle=04 entity.resolve status=complete confidence=0.92 evidence_paths=29 latency_ms=21
[00:01.595] trace=000076 cycle=04 claim.extract status=complete confidence=0.80 evidence_paths=40 latency_ms=38
[00:01.617] trace=000077 cycle=04 metric.extract status=complete confidence=0.87 evidence_paths=4 latency_ms=55
[00:01.652] trace=000078 cycle=04 timeline.construct status=complete confidence=0.94 evidence_paths=15 latency_ms=72
[00:01.671] trace=000079 cycle=04 conflict.detect status=complete confidence=0.82 evidence_paths=26 latency_ms=89
[00:01.703] trace=000080 cycle=04 diligence.analyze status=complete confidence=0.89 evidence_paths=37 latency_ms=106
[00:01.719] trace=000081 cycle=04 regulatory.analyze status=complete confidence=0.96 evidence_paths=48 latency_ms=123
[00:01.748] trace=000082 cycle=04 public_sector.analyze status=complete confidence=0.84 evidence_paths=12 latency_ms=140
[00:01.761] trace=000083 cycle=04 research.analyze status=complete confidence=0.91 evidence_paths=23 latency_ms=157
[00:01.787] trace=000084 cycle=04 reconciliation.merge status=complete confidence=0.98 evidence_paths=34 latency_ms=174
[00:01.797] trace=000085 cycle=04 validation.run status=complete confidence=0.86 evidence_paths=45 latency_ms=191
[00:01.820] trace=000086 cycle=04 human_review.apply status=complete confidence=0.93 evidence_paths=9 latency_ms=208
[00:01.827] trace=000087 cycle=04 output.render status=complete confidence=0.81 evidence_paths=20 latency_ms=14
[00:01.847] trace=000088 cycle=04 audit.persist status=complete confidence=0.88 evidence_paths=31 latency_ms=31
[00:01.880] trace=000089 cycle=05 runtime.initialize status=complete confidence=0.95 evidence_paths=42 latency_ms=48
[00:01.897] trace=000090 cycle=05 model.load_shards status=complete confidence=0.83 evidence_paths=6 latency_ms=65
[00:01.927] trace=000091 cycle=05 tokenizer.compile_vocabulary status=complete confidence=0.90 evidence_paths=17 latency_ms=82
[00:01.941] trace=000092 cycle=05 scheduler.compile_execution_graph status=complete confidence=0.97 evidence_paths=28 latency_ms=99
[00:01.968] trace=000093 cycle=05 source.acquire status=complete confidence=0.85 evidence_paths=39 latency_ms=116
[00:01.979] trace=000094 cycle=05 document.normalize status=complete confidence=0.92 evidence_paths=3 latency_ms=133
[00:02.003] trace=000095 cycle=05 index.build status=complete confidence=0.80 evidence_paths=14 latency_ms=150
[00:02.011] trace=000096 cycle=05 retrieval.execute status=complete confidence=0.87 evidence_paths=25 latency_ms=167
[00:02.032] trace=000097 cycle=05 entity.resolve status=complete confidence=0.94 evidence_paths=36 latency_ms=184
[00:02.066] trace=000098 cycle=05 claim.extract status=complete confidence=0.82 evidence_paths=47 latency_ms=201
[00:02.084] trace=000099 cycle=05 metric.extract status=complete confidence=0.89 evidence_paths=11 latency_ms=218
[00:02.115] trace=000100 cycle=05 timeline.construct status=complete confidence=0.96 evidence_paths=22 latency_ms=24
[00:02.130] trace=000101 cycle=05 conflict.detect status=complete confidence=0.84 evidence_paths=33 latency_ms=41
[00:02.158] trace=000102 cycle=05 diligence.analyze status=complete confidence=0.91 evidence_paths=44 latency_ms=58
[00:02.170] trace=000103 cycle=05 regulatory.analyze status=complete confidence=0.98 evidence_paths=8 latency_ms=75
[00:02.195] trace=000104 cycle=05 public_sector.analyze status=complete confidence=0.86 evidence_paths=19 latency_ms=92
[00:02.204] trace=000105 cycle=05 research.analyze status=complete confidence=0.93 evidence_paths=30 latency_ms=109
[00:02.226] trace=000106 cycle=05 reconciliation.merge status=complete confidence=0.81 evidence_paths=41 latency_ms=126
[00:02.261] trace=000107 cycle=05 validation.run status=complete confidence=0.88 evidence_paths=5 latency_ms=143
[00:02.280] trace=000108 cycle=05 human_review.apply status=complete confidence=0.95 evidence_paths=16 latency_ms=160
[00:02.312] trace=000109 cycle=05 output.render status=complete confidence=0.83 evidence_paths=27 latency_ms=177
[00:02.328] trace=000110 cycle=05 audit.persist status=complete confidence=0.90 evidence_paths=38 latency_ms=194
[00:02.357] trace=000111 cycle=06 runtime.initialize status=complete confidence=0.97 evidence_paths=49 latency_ms=211
[00:02.370] trace=000112 cycle=06 model.load_shards status=complete confidence=0.85 evidence_paths=13 latency_ms=17
[00:02.396] trace=000113 cycle=06 tokenizer.compile_vocabulary status=complete confidence=0.92 evidence_paths=24 latency_ms=34
[00:02.406] trace=000114 cycle=06 scheduler.compile_execution_graph status=complete confidence=0.80 evidence_paths=35 latency_ms=51
[00:02.429] trace=000115 cycle=06 source.acquire status=complete confidence=0.87 evidence_paths=46 latency_ms=68
[00:02.436] trace=000116 cycle=06 document.normalize status=complete confidence=0.94 evidence_paths=10 latency_ms=85
[00:02.456] trace=000117 cycle=06 index.build status=complete confidence=0.82 evidence_paths=21 latency_ms=102
[00:02.489] trace=000118 cycle=06 retrieval.execute status=complete confidence=0.89 evidence_paths=32 latency_ms=119
[00:02.506] trace=000119 cycle=06 entity.resolve status=complete confidence=0.96 evidence_paths=43 latency_ms=136
[00:02.536] trace=000120 cycle=06 claim.extract status=complete confidence=0.84 evidence_paths=7 latency_ms=153
[00:02.550] trace=000121 cycle=06 metric.extract status=complete confidence=0.91 evidence_paths=18 latency_ms=170
[00:02.577] trace=000122 cycle=06 timeline.construct status=complete confidence=0.98 evidence_paths=29 latency_ms=187
[00:02.588] trace=000123 cycle=06 conflict.detect status=complete confidence=0.86 evidence_paths=40 latency_ms=204
[00:02.612] trace=000124 cycle=06 diligence.analyze status=complete confidence=0.93 evidence_paths=4 latency_ms=221
[00:02.620] trace=000125 cycle=06 regulatory.analyze status=complete confidence=0.81 evidence_paths=15 latency_ms=27
[00:02.641] trace=000126 cycle=06 public_sector.analyze status=complete confidence=0.88 evidence_paths=26 latency_ms=44
[00:02.675] trace=000127 cycle=06 research.analyze status=complete confidence=0.95 evidence_paths=37 latency_ms=61
[00:02.693] trace=000128 cycle=06 reconciliation.merge status=complete confidence=0.83 evidence_paths=48 latency_ms=78
[00:02.724] trace=000129 cycle=06 validation.run status=complete confidence=0.90 evidence_paths=12 latency_ms=95
[00:02.739] trace=000130 cycle=06 human_review.apply status=complete confidence=0.97 evidence_paths=23 latency_ms=112
[00:02.767] trace=000131 cycle=06 output.render status=complete confidence=0.85 evidence_paths=34 latency_ms=129
[00:02.779] trace=000132 cycle=06 audit.persist status=complete confidence=0.92 evidence_paths=45 latency_ms=146
[00:02.804] trace=000133 cycle=07 runtime.initialize status=complete confidence=0.80 evidence_paths=9 latency_ms=163
[00:02.813] trace=000134 cycle=07 model.load_shards status=complete confidence=0.87 evidence_paths=20 latency_ms=180
[00:02.835] trace=000135 cycle=07 tokenizer.compile_vocabulary status=complete confidence=0.94 evidence_paths=31 latency_ms=197
[00:02.870] trace=000136 cycle=07 scheduler.compile_execution_graph status=complete confidence=0.82 evidence_paths=42 latency_ms=214
[00:02.889] trace=000137 cycle=07 source.acquire status=complete confidence=0.89 evidence_paths=6 latency_ms=20
[00:02.921] trace=000138 cycle=07 document.normalize status=complete confidence=0.96 evidence_paths=17 latency_ms=37
[00:02.937] trace=000139 cycle=07 index.build status=complete confidence=0.84 evidence_paths=28 latency_ms=54
[00:02.966] trace=000140 cycle=07 retrieval.execute status=complete confidence=0.91 evidence_paths=39 latency_ms=71
[00:02.979] trace=000141 cycle=07 entity.resolve status=complete confidence=0.98 evidence_paths=3 latency_ms=88
[00:03.005] trace=000142 cycle=07 claim.extract status=complete confidence=0.86 evidence_paths=14 latency_ms=105
[00:03.015] trace=000143 cycle=07 metric.extract status=complete confidence=0.93 evidence_paths=25 latency_ms=122
[00:03.038] trace=000144 cycle=07 timeline.construct status=complete confidence=0.81 evidence_paths=36 latency_ms=139
[00:03.045] trace=000145 cycle=07 conflict.detect status=complete confidence=0.88 evidence_paths=47 latency_ms=156
[00:03.065] trace=000146 cycle=07 diligence.analyze status=complete confidence=0.95 evidence_paths=11 latency_ms=173
[00:03.098] trace=000147 cycle=07 regulatory.analyze status=complete confidence=0.83 evidence_paths=22 latency_ms=190
[00:03.115] trace=000148 cycle=07 public_sector.analyze status=complete confidence=0.90 evidence_paths=33 latency_ms=207
[00:03.145] trace=000149 cycle=07 research.analyze status=complete confidence=0.97 evidence_paths=44 latency_ms=13
[00:03.159] trace=000150 cycle=07 reconciliation.merge status=complete confidence=0.85 evidence_paths=8 latency_ms=30
[00:03.186] trace=000151 cycle=07 validation.run status=complete confidence=0.92 evidence_paths=19 latency_ms=47
[00:03.197] trace=000152 cycle=07 human_review.apply status=complete confidence=0.80 evidence_paths=30 latency_ms=64
[00:03.221] trace=000153 cycle=07 output.render status=complete confidence=0.87 evidence_paths=41 latency_ms=81
[00:03.229] trace=000154 cycle=07 audit.persist status=complete confidence=0.94 evidence_paths=5 latency_ms=98
[00:03.250] trace=000155 cycle=08 runtime.initialize status=complete confidence=0.82 evidence_paths=16 latency_ms=115
[00:03.284] trace=000156 cycle=08 model.load_shards status=complete confidence=0.89 evidence_paths=27 latency_ms=132
[00:03.302] trace=000157 cycle=08 tokenizer.compile_vocabulary status=complete confidence=0.96 evidence_paths=38 latency_ms=149
[00:03.333] trace=000158 cycle=08 scheduler.compile_execution_graph status=complete confidence=0.84 evidence_paths=49 latency_ms=166
[00:03.348] trace=000159 cycle=08 source.acquire status=complete confidence=0.91 evidence_paths=13 latency_ms=183
[00:03.376] trace=000160 cycle=08 document.normalize status=complete confidence=0.98 evidence_paths=24 latency_ms=200
[00:03.388] trace=000161 cycle=08 index.build status=complete confidence=0.86 evidence_paths=35 latency_ms=217
[00:03.413] trace=000162 cycle=08 retrieval.execute status=complete confidence=0.93 evidence_paths=46 latency_ms=23
[00:03.422] trace=000163 cycle=08 entity.resolve status=complete confidence=0.81 evidence_paths=10 latency_ms=40
[00:03.444] trace=000164 cycle=08 claim.extract status=complete confidence=0.88 evidence_paths=21 latency_ms=57
[00:03.479] trace=000165 cycle=08 metric.extract status=complete confidence=0.95 evidence_paths=32 latency_ms=74
[00:03.498] trace=000166 cycle=08 timeline.construct status=complete confidence=0.83 evidence_paths=43 latency_ms=91
[00:03.530] trace=000167 cycle=08 conflict.detect status=complete confidence=0.90 evidence_paths=7 latency_ms=108
[00:03.546] trace=000168 cycle=08 diligence.analyze status=complete confidence=0.97 evidence_paths=18 latency_ms=125
[00:03.575] trace=000169 cycle=08 regulatory.analyze status=complete confidence=0.85 evidence_paths=29 latency_ms=142
[00:03.588] trace=000170 cycle=08 public_sector.analyze status=complete confidence=0.92 evidence_paths=40 latency_ms=159
[00:03.614] trace=000171 cycle=08 research.analyze status=complete confidence=0.80 evidence_paths=4 latency_ms=176
[00:03.624] trace=000172 cycle=08 reconciliation.merge status=complete confidence=0.87 evidence_paths=15 latency_ms=193
[00:03.647] trace=000173 cycle=08 validation.run status=complete confidence=0.94 evidence_paths=26 latency_ms=210
[00:03.654] trace=000174 cycle=08 human_review.apply status=complete confidence=0.82 evidence_paths=37 latency_ms=16
[00:03.674] trace=000175 cycle=08 output.render status=complete confidence=0.89 evidence_paths=48 latency_ms=33
[00:03.707] trace=000176 cycle=08 audit.persist status=complete confidence=0.96 evidence_paths=12 latency_ms=50
[00:03.724] trace=000177 cycle=09 runtime.initialize status=complete confidence=0.84 evidence_paths=23 latency_ms=67
[00:03.754] trace=000178 cycle=09 model.load_shards status=complete confidence=0.91 evidence_paths=34 latency_ms=84
[00:03.768] trace=000179 cycle=09 tokenizer.compile_vocabulary status=complete confidence=0.98 evidence_paths=45 latency_ms=101
[00:03.795] trace=000180 cycle=09 scheduler.compile_execution_graph status=complete confidence=0.86 evidence_paths=9 latency_ms=118
[00:03.806] trace=000181 cycle=09 source.acquire status=complete confidence=0.93 evidence_paths=20 latency_ms=135
[00:03.830] trace=000182 cycle=09 document.normalize status=complete confidence=0.81 evidence_paths=31 latency_ms=152
[00:03.838] trace=000183 cycle=09 index.build status=complete confidence=0.88 evidence_paths=42 latency_ms=169
[00:03.859] trace=000184 cycle=09 retrieval.execute status=complete confidence=0.95 evidence_paths=6 latency_ms=186
[00:03.893] trace=000185 cycle=09 entity.resolve status=complete confidence=0.83 evidence_paths=17 latency_ms=203
[00:03.911] trace=000186 cycle=09 claim.extract status=complete confidence=0.90 evidence_paths=28 latency_ms=220
[00:03.942] trace=000187 cycle=09 metric.extract status=complete confidence=0.97 evidence_paths=39 latency_ms=26
[00:03.957] trace=000188 cycle=09 timeline.construct status=complete confidence=0.85 evidence_paths=3 latency_ms=43
[00:03.985] trace=000189 cycle=09 conflict.detect status=complete confidence=0.92 evidence_paths=14 latency_ms=60
[00:03.997] trace=000190 cycle=09 diligence.analyze status=complete confidence=0.80 evidence_paths=25 latency_ms=77
[00:04.022] trace=000191 cycle=09 regulatory.analyze status=complete confidence=0.87 evidence_paths=36 latency_ms=94
[00:04.031] trace=000192 cycle=09 public_sector.analyze status=complete confidence=0.94 evidence_paths=47 latency_ms=111
[00:04.053] trace=000193 cycle=09 research.analyze status=complete confidence=0.82 evidence_paths=11 latency_ms=128
[00:04.088] trace=000194 cycle=09 reconciliation.merge status=complete confidence=0.89 evidence_paths=22 latency_ms=145
[00:04.107] trace=000195 cycle=09 validation.run status=complete confidence=0.96 evidence_paths=33 latency_ms=162
[00:04.139] trace=000196 cycle=09 human_review.apply status=complete confidence=0.84 evidence_paths=44 latency_ms=179
[00:04.155] trace=000197 cycle=09 output.render status=complete confidence=0.91 evidence_paths=8 latency_ms=196
[00:04.184] trace=000198 cycle=09 audit.persist status=complete confidence=0.98 evidence_paths=19 latency_ms=213
[00:04.197] trace=000199 cycle=10 runtime.initialize status=complete confidence=0.86 evidence_paths=30 latency_ms=19
[00:04.223] trace=000200 cycle=10 model.load_shards status=complete confidence=0.93 evidence_paths=41 latency_ms=36
[00:04.233] trace=000201 cycle=10 tokenizer.compile_vocabulary status=complete confidence=0.81 evidence_paths=5 latency_ms=53
[00:04.256] trace=000202 cycle=10 scheduler.compile_execution_graph status=complete confidence=0.88 evidence_paths=16 latency_ms=70
[00:04.263] trace=000203 cycle=10 source.acquire status=complete confidence=0.95 evidence_paths=27 latency_ms=87
[00:04.283] trace=000204 cycle=10 document.normalize status=complete confidence=0.83 evidence_paths=38 latency_ms=104
[00:04.316] trace=000205 cycle=10 index.build status=complete confidence=0.90 evidence_paths=49 latency_ms=121
[00:04.333] trace=000206 cycle=10 retrieval.execute status=complete confidence=0.97 evidence_paths=13 latency_ms=138
[00:04.363] trace=000207 cycle=10 entity.resolve status=complete confidence=0.85 evidence_paths=24 latency_ms=155
[00:04.377] trace=000208 cycle=10 claim.extract status=complete confidence=0.92 evidence_paths=35 latency_ms=172
[00:04.404] trace=000209 cycle=10 metric.extract status=complete confidence=0.80 evidence_paths=46 latency_ms=189
[00:04.415] trace=000210 cycle=10 timeline.construct status=complete confidence=0.87 evidence_paths=10 latency_ms=206
[00:04.439] trace=000211 cycle=10 conflict.detect status=complete confidence=0.94 evidence_paths=21 latency_ms=12
[00:04.447] trace=000212 cycle=10 diligence.analyze status=complete confidence=0.82 evidence_paths=32 latency_ms=29
[00:04.468] trace=000213 cycle=10 regulatory.analyze status=complete confidence=0.89 evidence_paths=43 latency_ms=46
[00:04.502] trace=000214 cycle=10 public_sector.analyze status=complete confidence=0.96 evidence_paths=7 latency_ms=63
[00:04.520] trace=000215 cycle=10 research.analyze status=complete confidence=0.84 evidence_paths=18 latency_ms=80
[00:04.551] trace=000216 cycle=10 reconciliation.merge status=complete confidence=0.91 evidence_paths=29 latency_ms=97
[00:04.566] trace=000217 cycle=10 validation.run status=complete confidence=0.98 evidence_paths=40 latency_ms=114
[00:04.594] trace=000218 cycle=10 human_review.apply status=complete confidence=0.86 evidence_paths=4 latency_ms=131
[00:04.606] trace=000219 cycle=10 output.render status=complete confidence=0.93 evidence_paths=15 latency_ms=148
[00:04.631] trace=000220 cycle=10 audit.persist status=complete confidence=0.81 evidence_paths=26 latency_ms=165
[00:04.640] trace=000221 cycle=11 runtime.initialize status=complete confidence=0.88 evidence_paths=37 latency_ms=182
[00:04.662] trace=000222 cycle=11 model.load_shards status=complete confidence=0.95 evidence_paths=48 latency_ms=199
[00:04.697] trace=000223 cycle=11 tokenizer.compile_vocabulary status=complete confidence=0.83 evidence_paths=12 latency_ms=216
[00:04.716] trace=000224 cycle=11 scheduler.compile_execution_graph status=complete confidence=0.90 evidence_paths=23 latency_ms=22
[00:04.748] trace=000225 cycle=11 source.acquire status=complete confidence=0.97 evidence_paths=34 latency_ms=39
[00:04.764] trace=000226 cycle=11 document.normalize status=complete confidence=0.85 evidence_paths=45 latency_ms=56
[00:04.793] trace=000227 cycle=11 index.build status=complete confidence=0.92 evidence_paths=9 latency_ms=73
[00:04.806] trace=000228 cycle=11 retrieval.execute status=complete confidence=0.80 evidence_paths=20 latency_ms=90
[00:04.832] trace=000229 cycle=11 entity.resolve status=complete confidence=0.87 evidence_paths=31 latency_ms=107
[00:04.842] trace=000230 cycle=11 claim.extract status=complete confidence=0.94 evidence_paths=42 latency_ms=124
[00:04.865] trace=000231 cycle=11 metric.extract status=complete confidence=0.82 evidence_paths=6 latency_ms=141
[00:04.872] trace=000232 cycle=11 timeline.construct status=complete confidence=0.89 evidence_paths=17 latency_ms=158
[00:04.892] trace=000233 cycle=11 conflict.detect status=complete confidence=0.96 evidence_paths=28 latency_ms=175
[00:04.925] trace=000234 cycle=11 diligence.analyze status=complete confidence=0.84 evidence_paths=39 latency_ms=192
[00:04.942] trace=000235 cycle=11 regulatory.analyze status=complete confidence=0.91 evidence_paths=3 latency_ms=209
[00:04.972] trace=000236 cycle=11 public_sector.analyze status=complete confidence=0.98 evidence_paths=14 latency_ms=15
[00:04.986] trace=000237 cycle=11 research.analyze status=complete confidence=0.86 evidence_paths=25 latency_ms=32
[00:05.013] trace=000238 cycle=11 reconciliation.merge status=complete confidence=0.93 evidence_paths=36 latency_ms=49
[00:05.024] trace=000239 cycle=11 validation.run status=complete confidence=0.81 evidence_paths=47 latency_ms=66
[00:05.048] trace=000240 cycle=11 human_review.apply status=complete confidence=0.88 evidence_paths=11 latency_ms=83
[00:05.056] trace=000241 cycle=11 output.render status=complete confidence=0.95 evidence_paths=22 latency_ms=100
[00:05.077] trace=000242 cycle=11 audit.persist status=complete confidence=0.83 evidence_paths=33 latency_ms=117
[00:05.111] trace=000243 cycle=12 runtime.initialize status=complete confidence=0.90 evidence_paths=44 latency_ms=134
[00:05.129] trace=000244 cycle=12 model.load_shards status=complete confidence=0.97 evidence_paths=8 latency_ms=151
[00:05.160] trace=000245 cycle=12 tokenizer.compile_vocabulary status=complete confidence=0.85 evidence_paths=19 latency_ms=168
[00:05.175] trace=000246 cycle=12 scheduler.compile_execution_graph status=complete confidence=0.92 evidence_paths=30 latency_ms=185
[00:05.203] trace=000247 cycle=12 source.acquire status=complete confidence=0.80 evidence_paths=41 latency_ms=202
[00:05.215] trace=000248 cycle=12 document.normalize status=complete confidence=0.87 evidence_paths=5 latency_ms=219
[00:05.240] trace=000249 cycle=12 index.build status=complete confidence=0.94 evidence_paths=16 latency_ms=25
[00:05.249] trace=000250 cycle=12 retrieval.execute status=complete confidence=0.82 evidence_paths=27 latency_ms=42
[00:05.271] trace=000251 cycle=12 entity.resolve status=complete confidence=0.89 evidence_paths=38 latency_ms=59
[00:05.306] trace=000252 cycle=12 claim.extract status=complete confidence=0.96 evidence_paths=49 latency_ms=76
[00:05.325] trace=000253 cycle=12 metric.extract status=complete confidence=0.84 evidence_paths=13 latency_ms=93
[00:05.357] trace=000254 cycle=12 timeline.construct status=complete confidence=0.91 evidence_paths=24 latency_ms=110
[00:05.373] trace=000255 cycle=12 conflict.detect status=complete confidence=0.98 evidence_paths=35 latency_ms=127
[00:05.402] trace=000256 cycle=12 diligence.analyze status=complete confidence=0.86 evidence_paths=46 latency_ms=144
[00:05.415] trace=000257 cycle=12 regulatory.analyze status=complete confidence=0.93 evidence_paths=10 latency_ms=161
[00:05.441] trace=000258 cycle=12 public_sector.analyze status=complete confidence=0.81 evidence_paths=21 latency_ms=178
[00:05.451] trace=000259 cycle=12 research.analyze status=complete confidence=0.88 evidence_paths=32 latency_ms=195
[00:05.474] trace=000260 cycle=12 reconciliation.merge status=complete confidence=0.95 evidence_paths=43 latency_ms=212
[00:05.481] trace=000261 cycle=12 validation.run status=complete confidence=0.83 evidence_paths=7 latency_ms=18
[00:05.501] trace=000262 cycle=12 human_review.apply status=complete confidence=0.90 evidence_paths=18 latency_ms=35
[00:05.534] trace=000263 cycle=12 output.render status=complete confidence=0.97 evidence_paths=29 latency_ms=52
[00:05.551] trace=000264 cycle=12 audit.persist status=complete confidence=0.85 evidence_paths=40 latency_ms=69
[00:05.581] trace=000265 cycle=13 runtime.initialize status=complete confidence=0.92 evidence_paths=4 latency_ms=86
[00:05.595] trace=000266 cycle=13 model.load_shards status=complete confidence=0.80 evidence_paths=15 latency_ms=103
[00:05.622] trace=000267 cycle=13 tokenizer.compile_vocabulary status=complete confidence=0.87 evidence_paths=26 latency_ms=120
[00:05.633] trace=000268 cycle=13 scheduler.compile_execution_graph status=complete confidence=0.94 evidence_paths=37 latency_ms=137
[00:05.657] trace=000269 cycle=13 source.acquire status=complete confidence=0.82 evidence_paths=48 latency_ms=154
[00:05.665] trace=000270 cycle=13 document.normalize status=complete confidence=0.89 evidence_paths=12 latency_ms=171
[00:05.686] trace=000271 cycle=13 index.build status=complete confidence=0.96 evidence_paths=23 latency_ms=188
[00:05.720] trace=000272 cycle=13 retrieval.execute status=complete confidence=0.84 evidence_paths=34 latency_ms=205
[00:05.738] trace=000273 cycle=13 entity.resolve status=complete confidence=0.91 evidence_paths=45 latency_ms=222
[00:05.769] trace=000274 cycle=13 claim.extract status=complete confidence=0.98 evidence_paths=9 latency_ms=28
[00:05.784] trace=000275 cycle=13 metric.extract status=complete confidence=0.86 evidence_paths=20 latency_ms=45
[00:05.812] trace=000276 cycle=13 timeline.construct status=complete confidence=0.93 evidence_paths=31 latency_ms=62
[00:05.824] trace=000277 cycle=13 conflict.detect status=complete confidence=0.81 evidence_paths=42 latency_ms=79
[00:05.849] trace=000278 cycle=13 diligence.analyze status=complete confidence=0.88 evidence_paths=6 latency_ms=96
[00:05.858] trace=000279 cycle=13 regulatory.analyze status=complete confidence=0.95 evidence_paths=17 latency_ms=113
[00:05.880] trace=000280 cycle=13 public_sector.analyze status=complete confidence=0.83 evidence_paths=28 latency_ms=130
[00:05.915] trace=000281 cycle=13 research.analyze status=complete confidence=0.90 evidence_paths=39 latency_ms=147
[00:05.934] trace=000282 cycle=13 reconciliation.merge status=complete confidence=0.97 evidence_paths=3 latency_ms=164
[00:05.966] trace=000283 cycle=13 validation.run status=complete confidence=0.85 evidence_paths=14 latency_ms=181
[00:05.982] trace=000284 cycle=13 human_review.apply status=complete confidence=0.92 evidence_paths=25 latency_ms=198
[00:06.011] trace=000285 cycle=13 output.render status=complete confidence=0.80 evidence_paths=36 latency_ms=215
[00:06.024] trace=000286 cycle=13 audit.persist status=complete confidence=0.87 evidence_paths=47 latency_ms=21
[00:06.050] trace=000287 cycle=14 runtime.initialize status=complete confidence=0.94 evidence_paths=11 latency_ms=38
[00:06.060] trace=000288 cycle=14 model.load_shards status=complete confidence=0.82 evidence_paths=22 latency_ms=55
[00:06.083] trace=000289 cycle=14 tokenizer.compile_vocabulary status=complete confidence=0.89 evidence_paths=33 latency_ms=72
[00:06.090] trace=000290 cycle=14 scheduler.compile_execution_graph status=complete confidence=0.96 evidence_paths=44 latency_ms=89
[00:06.110] trace=000291 cycle=14 source.acquire status=complete confidence=0.84 evidence_paths=8 latency_ms=106
[00:06.143] trace=000292 cycle=14 document.normalize status=complete confidence=0.91 evidence_paths=19 latency_ms=123
[00:06.160] trace=000293 cycle=14 index.build status=complete confidence=0.98 evidence_paths=30 latency_ms=140
[00:06.190] trace=000294 cycle=14 retrieval.execute status=complete confidence=0.86 evidence_paths=41 latency_ms=157
[00:06.204] trace=000295 cycle=14 entity.resolve status=complete confidence=0.93 evidence_paths=5 latency_ms=174
[00:06.231] trace=000296 cycle=14 claim.extract status=complete confidence=0.81 evidence_paths=16 latency_ms=191
[00:06.242] trace=000297 cycle=14 metric.extract status=complete confidence=0.88 evidence_paths=27 latency_ms=208
[00:06.266] trace=000298 cycle=14 timeline.construct status=complete confidence=0.95 evidence_paths=38 latency_ms=14
[00:06.274] trace=000299 cycle=14 conflict.detect status=complete confidence=0.83 evidence_paths=49 latency_ms=31
[00:06.295] trace=000300 cycle=14 diligence.analyze status=complete confidence=0.90 evidence_paths=13 latency_ms=48
[00:06.329] trace=000301 cycle=14 regulatory.analyze status=complete confidence=0.97 evidence_paths=24 latency_ms=65
[00:06.347] trace=000302 cycle=14 public_sector.analyze status=complete confidence=0.85 evidence_paths=35 latency_ms=82
[00:06.378] trace=000303 cycle=14 research.analyze status=complete confidence=0.92 evidence_paths=46 latency_ms=99
[00:06.393] trace=000304 cycle=14 reconciliation.merge status=complete confidence=0.80 evidence_paths=10 latency_ms=116
[00:06.421] trace=000305 cycle=14 validation.run status=complete confidence=0.87 evidence_paths=21 latency_ms=133
[00:06.433] trace=000306 cycle=14 human_review.apply status=complete confidence=0.94 evidence_paths=32 latency_ms=150
[00:06.458] trace=000307 cycle=14 output.render status=complete confidence=0.82 evidence_paths=43 latency_ms=167
[00:06.467] trace=000308 cycle=14 audit.persist status=complete confidence=0.89 evidence_paths=7 latency_ms=184
[00:06.489] trace=000309 cycle=15 runtime.initialize status=complete confidence=0.96 evidence_paths=18 latency_ms=201
[00:06.524] trace=000310 cycle=15 model.load_shards status=complete confidence=0.84 evidence_paths=29 latency_ms=218
[00:06.543] trace=000311 cycle=15 tokenizer.compile_vocabulary status=complete confidence=0.91 evidence_paths=40 latency_ms=24
[00:06.575] trace=000312 cycle=15 scheduler.compile_execution_graph status=complete confidence=0.98 evidence_paths=4 latency_ms=41
[00:06.591] trace=000313 cycle=15 source.acquire status=complete confidence=0.86 evidence_paths=15 latency_ms=58
[00:06.620] trace=000314 cycle=15 document.normalize status=complete confidence=0.93 evidence_paths=26 latency_ms=75
[00:06.633] trace=000315 cycle=15 index.build status=complete confidence=0.81 evidence_paths=37 latency_ms=92
[00:06.659] trace=000316 cycle=15 retrieval.execute status=complete confidence=0.88 evidence_paths=48 latency_ms=109
[00:06.669] trace=000317 cycle=15 entity.resolve status=complete confidence=0.95 evidence_paths=12 latency_ms=126
[00:06.692] trace=000318 cycle=15 claim.extract status=complete confidence=0.83 evidence_paths=23 latency_ms=143
[00:06.699] trace=000319 cycle=15 metric.extract status=complete confidence=0.90 evidence_paths=34 latency_ms=160
[00:06.719] trace=000320 cycle=15 timeline.construct status=complete confidence=0.97 evidence_paths=45 latency_ms=177
[00:06.752] trace=000321 cycle=15 conflict.detect status=complete confidence=0.85 evidence_paths=9 latency_ms=194
[00:06.769] trace=000322 cycle=15 diligence.analyze status=complete confidence=0.92 evidence_paths=20 latency_ms=211
[00:06.799] trace=000323 cycle=15 regulatory.analyze status=complete confidence=0.80 evidence_paths=31 latency_ms=17
[00:06.813] trace=000324 cycle=15 public_sector.analyze status=complete confidence=0.87 evidence_paths=42 latency_ms=34
[00:06.840] trace=000325 cycle=15 research.analyze status=complete confidence=0.94 evidence_paths=6 latency_ms=51
[00:06.851] trace=000326 cycle=15 reconciliation.merge status=complete confidence=0.82 evidence_paths=17 latency_ms=68
[00:06.875] trace=000327 cycle=15 validation.run status=complete confidence=0.89 evidence_paths=28 latency_ms=85
[00:06.883] trace=000328 cycle=15 human_review.apply status=complete confidence=0.96 evidence_paths=39 latency_ms=102
[00:06.904] trace=000329 cycle=15 output.render status=complete confidence=0.84 evidence_paths=3 latency_ms=119
[00:06.938] trace=000330 cycle=15 audit.persist status=complete confidence=0.91 evidence_paths=14 latency_ms=136
[00:06.956] trace=000331 cycle=16 runtime.initialize status=complete confidence=0.98 evidence_paths=25 latency_ms=153
[00:06.987] trace=000332 cycle=16 model.load_shards status=complete confidence=0.86 evidence_paths=36 latency_ms=170
[00:07.002] trace=000333 cycle=16 tokenizer.compile_vocabulary status=complete confidence=0.93 evidence_paths=47 latency_ms=187
[00:07.030] trace=000334 cycle=16 scheduler.compile_execution_graph status=complete confidence=0.81 evidence_paths=11 latency_ms=204
[00:07.042] trace=000335 cycle=16 source.acquire status=complete confidence=0.88 evidence_paths=22 latency_ms=221
[00:07.067] trace=000336 cycle=16 document.normalize status=complete confidence=0.95 evidence_paths=33 latency_ms=27
[00:07.076] trace=000337 cycle=16 index.build status=complete confidence=0.83 evidence_paths=44 latency_ms=44
[00:07.098] trace=000338 cycle=16 retrieval.execute status=complete confidence=0.90 evidence_paths=8 latency_ms=61
[00:07.133] trace=000339 cycle=16 entity.resolve status=complete confidence=0.97 evidence_paths=19 latency_ms=78
[00:07.152] trace=000340 cycle=16 claim.extract status=complete confidence=0.85 evidence_paths=30 latency_ms=95
[00:07.184] trace=000341 cycle=16 metric.extract status=complete confidence=0.92 evidence_paths=41 latency_ms=112
[00:07.200] trace=000342 cycle=16 timeline.construct status=complete confidence=0.80 evidence_paths=5 latency_ms=129
[00:07.229] trace=000343 cycle=16 conflict.detect status=complete confidence=0.87 evidence_paths=16 latency_ms=146
[00:07.242] trace=000344 cycle=16 diligence.analyze status=complete confidence=0.94 evidence_paths=27 latency_ms=163
[00:07.268] trace=000345 cycle=16 regulatory.analyze status=complete confidence=0.82 evidence_paths=38 latency_ms=180
[00:07.278] trace=000346 cycle=16 public_sector.analyze status=complete confidence=0.89 evidence_paths=49 latency_ms=197
[00:07.301] trace=000347 cycle=16 research.analyze status=complete confidence=0.96 evidence_paths=13 latency_ms=214
[00:07.308] trace=000348 cycle=16 reconciliation.merge status=complete confidence=0.84 evidence_paths=24 latency_ms=20
[00:07.328] trace=000349 cycle=16 validation.run status=complete confidence=0.91 evidence_paths=35 latency_ms=37
[00:07.361] trace=000350 cycle=16 human_review.apply status=complete confidence=0.98 evidence_paths=46 latency_ms=54
[00:07.378] trace=000351 cycle=16 output.render status=complete confidence=0.86 evidence_paths=10 latency_ms=71
[00:07.408] trace=000352 cycle=16 audit.persist status=complete confidence=0.93 evidence_paths=21 latency_ms=88
[00:07.422] trace=000353 cycle=17 runtime.initialize status=complete confidence=0.81 evidence_paths=32 latency_ms=105
[00:07.449] trace=000354 cycle=17 model.load_shards status=complete confidence=0.88 evidence_paths=43 latency_ms=122
[00:07.460] trace=000355 cycle=17 tokenizer.compile_vocabulary status=complete confidence=0.95 evidence_paths=7 latency_ms=139
[00:07.484] trace=000356 cycle=17 scheduler.compile_execution_graph status=complete confidence=0.83 evidence_paths=18 latency_ms=156
[00:07.492] trace=000357 cycle=17 source.acquire status=complete confidence=0.90 evidence_paths=29 latency_ms=173
[00:07.513] trace=000358 cycle=17 document.normalize status=complete confidence=0.97 evidence_paths=40 latency_ms=190
[00:07.547] trace=000359 cycle=17 index.build status=complete confidence=0.85 evidence_paths=4 latency_ms=207
[00:07.565] trace=000360 cycle=17 retrieval.execute status=complete confidence=0.92 evidence_paths=15 latency_ms=13
[00:07.596] trace=000361 cycle=17 entity.resolve status=complete confidence=0.80 evidence_paths=26 latency_ms=30
[00:07.611] trace=000362 cycle=17 claim.extract status=complete confidence=0.87 evidence_paths=37 latency_ms=47
[00:07.639] trace=000363 cycle=17 metric.extract status=complete confidence=0.94 evidence_paths=48 latency_ms=64
[00:07.651] trace=000364 cycle=17 timeline.construct status=complete confidence=0.82 evidence_paths=12 latency_ms=81
[00:07.676] trace=000365 cycle=17 conflict.detect status=complete confidence=0.89 evidence_paths=23 latency_ms=98
[00:07.685] trace=000366 cycle=17 diligence.analyze status=complete confidence=0.96 evidence_paths=34 latency_ms=115
[00:07.707] trace=000367 cycle=17 regulatory.analyze status=complete confidence=0.84 evidence_paths=45 latency_ms=132
[00:07.742] trace=000368 cycle=17 public_sector.analyze status=complete confidence=0.91 evidence_paths=9 latency_ms=149
[00:07.761] trace=000369 cycle=17 research.analyze status=complete confidence=0.98 evidence_paths=20 latency_ms=166
[00:07.793] trace=000370 cycle=17 reconciliation.merge status=complete confidence=0.86 evidence_paths=31 latency_ms=183
[00:07.809] trace=000371 cycle=17 validation.run status=complete confidence=0.93 evidence_paths=42 latency_ms=200
[00:07.838] trace=000372 cycle=17 human_review.apply status=complete confidence=0.81 evidence_paths=6 latency_ms=217
[00:07.851] trace=000373 cycle=17 output.render status=complete confidence=0.88 evidence_paths=17 latency_ms=23
[00:07.877] trace=000374 cycle=17 audit.persist status=complete confidence=0.95 evidence_paths=28 latency_ms=40
[00:07.887] trace=000375 cycle=18 runtime.initialize status=complete confidence=0.83 evidence_paths=39 latency_ms=57
[00:07.910] trace=000376 cycle=18 model.load_shards status=complete confidence=0.90 evidence_paths=3 latency_ms=74
[00:07.917] trace=000377 cycle=18 tokenizer.compile_vocabulary status=complete confidence=0.97 evidence_paths=14 latency_ms=91
[00:07.937] trace=000378 cycle=18 scheduler.compile_execution_graph status=complete confidence=0.85 evidence_paths=25 latency_ms=108
[00:07.970] trace=000379 cycle=18 source.acquire status=complete confidence=0.92 evidence_paths=36 latency_ms=125
[00:07.987] trace=000380 cycle=18 document.normalize status=complete confidence=0.80 evidence_paths=47 latency_ms=142
[00:08.017] trace=000381 cycle=18 index.build status=complete confidence=0.87 evidence_paths=11 latency_ms=159
[00:08.031] trace=000382 cycle=18 retrieval.execute status=complete confidence=0.94 evidence_paths=22 latency_ms=176
[00:08.058] trace=000383 cycle=18 entity.resolve status=complete confidence=0.82 evidence_paths=33 latency_ms=193
[00:08.069] trace=000384 cycle=18 claim.extract status=complete confidence=0.89 evidence_paths=44 latency_ms=210
[00:08.093] trace=000385 cycle=18 metric.extract status=complete confidence=0.96 evidence_paths=8 latency_ms=16
[00:08.101] trace=000386 cycle=18 timeline.construct status=complete confidence=0.84 evidence_paths=19 latency_ms=33
[00:08.122] trace=000387 cycle=18 conflict.detect status=complete confidence=0.91 evidence_paths=30 latency_ms=50
[00:08.156] trace=000388 cycle=18 diligence.analyze status=complete confidence=0.98 evidence_paths=41 latency_ms=67
[00:08.174] trace=000389 cycle=18 regulatory.analyze status=complete confidence=0.86 evidence_paths=5 latency_ms=84
[00:08.205] trace=000390 cycle=18 public_sector.analyze status=complete confidence=0.93 evidence_paths=16 latency_ms=101
[00:08.220] trace=000391 cycle=18 research.analyze status=complete confidence=0.81 evidence_paths=27 latency_ms=118
[00:08.248] trace=000392 cycle=18 reconciliation.merge status=complete confidence=0.88 evidence_paths=38 latency_ms=135
[00:08.260] trace=000393 cycle=18 validation.run status=complete confidence=0.95 evidence_paths=49 latency_ms=152
[00:08.285] trace=000394 cycle=18 human_review.apply status=complete confidence=0.83 evidence_paths=13 latency_ms=169
[00:08.294] trace=000395 cycle=18 output.render status=complete confidence=0.90 evidence_paths=24 latency_ms=186
[00:08.316] trace=000396 cycle=18 audit.persist status=complete confidence=0.97 evidence_paths=35 latency_ms=203
[00:08.351] trace=000397 cycle=19 runtime.initialize status=complete confidence=0.85 evidence_paths=46 latency_ms=220
[00:08.370] trace=000398 cycle=19 model.load_shards status=complete confidence=0.92 evidence_paths=10 latency_ms=26
[00:08.402] trace=000399 cycle=19 tokenizer.compile_vocabulary status=complete confidence=0.80 evidence_paths=21 latency_ms=43
[00:08.418] trace=000400 cycle=19 scheduler.compile_execution_graph status=complete confidence=0.87 evidence_paths=32 latency_ms=60
[00:08.447] trace=000401 cycle=19 source.acquire status=complete confidence=0.94 evidence_paths=43 latency_ms=77
[00:08.460] trace=000402 cycle=19 document.normalize status=complete confidence=0.82 evidence_paths=7 latency_ms=94
[00:08.486] trace=000403 cycle=19 index.build status=complete confidence=0.89 evidence_paths=18 latency_ms=111
[00:08.496] trace=000404 cycle=19 retrieval.execute status=complete confidence=0.96 evidence_paths=29 latency_ms=128
[00:08.519] trace=000405 cycle=19 entity.resolve status=complete confidence=0.84 evidence_paths=40 latency_ms=145
[00:08.526] trace=000406 cycle=19 claim.extract status=complete confidence=0.91 evidence_paths=4 latency_ms=162
[00:08.546] trace=000407 cycle=19 metric.extract status=complete confidence=0.98 evidence_paths=15 latency_ms=179
[00:08.579] trace=000408 cycle=19 timeline.construct status=complete confidence=0.86 evidence_paths=26 latency_ms=196
[00:08.596] trace=000409 cycle=19 conflict.detect status=complete confidence=0.93 evidence_paths=37 latency_ms=213
[00:08.626] trace=000410 cycle=19 diligence.analyze status=complete confidence=0.81 evidence_paths=48 latency_ms=19
[00:08.640] trace=000411 cycle=19 regulatory.analyze status=complete confidence=0.88 evidence_paths=12 latency_ms=36
[00:08.667] trace=000412 cycle=19 public_sector.analyze status=complete confidence=0.95 evidence_paths=23 latency_ms=53
[00:08.678] trace=000413 cycle=19 research.analyze status=complete confidence=0.83 evidence_paths=34 latency_ms=70
[00:08.702] trace=000414 cycle=19 reconciliation.merge status=complete confidence=0.90 evidence_paths=45 latency_ms=87
[00:08.710] trace=000415 cycle=19 validation.run status=complete confidence=0.97 evidence_paths=9 latency_ms=104
[00:08.731] trace=000416 cycle=19 human_review.apply status=complete confidence=0.85 evidence_paths=20 latency_ms=121
[00:08.765] trace=000417 cycle=19 output.render status=complete confidence=0.92 evidence_paths=31 latency_ms=138
[00:08.783] trace=000418 cycle=19 audit.persist status=complete confidence=0.80 evidence_paths=42 latency_ms=155
[00:08.814] trace=000419 cycle=20 runtime.initialize status=complete confidence=0.87 evidence_paths=6 latency_ms=172
[00:08.829] trace=000420 cycle=20 model.load_shards status=complete confidence=0.94 evidence_paths=17 latency_ms=189
[00:08.857] trace=000421 cycle=20 tokenizer.compile_vocabulary status=complete confidence=0.82 evidence_paths=28 latency_ms=206
[00:08.869] trace=000422 cycle=20 scheduler.compile_execution_graph status=complete confidence=0.89 evidence_paths=39 latency_ms=12
[00:08.894] trace=000423 cycle=20 source.acquire status=complete confidence=0.96 evidence_paths=3 latency_ms=29
[00:08.903] trace=000424 cycle=20 document.normalize status=complete confidence=0.84 evidence_paths=14 latency_ms=46
[00:08.925] trace=000425 cycle=20 index.build status=complete confidence=0.91 evidence_paths=25 latency_ms=63
[00:08.960] trace=000426 cycle=20 retrieval.execute status=complete confidence=0.98 evidence_paths=36 latency_ms=80
[00:08.979] trace=000427 cycle=20 entity.resolve status=complete confidence=0.86 evidence_paths=47 latency_ms=97
[00:09.011] trace=000428 cycle=20 claim.extract status=complete confidence=0.93 evidence_paths=11 latency_ms=114
[00:09.027] trace=000429 cycle=20 metric.extract status=complete confidence=0.81 evidence_paths=22 latency_ms=131
[00:09.056] trace=000430 cycle=20 timeline.construct status=complete confidence=0.88 evidence_paths=33 latency_ms=148
[00:09.069] trace=000431 cycle=20 conflict.detect status=complete confidence=0.95 evidence_paths=44 latency_ms=165
[00:09.095] trace=000432 cycle=20 diligence.analyze status=complete confidence=0.83 evidence_paths=8 latency_ms=182
[00:09.105] trace=000433 cycle=20 regulatory.analyze status=complete confidence=0.90 evidence_paths=19 latency_ms=199
[00:09.128] trace=000434 cycle=20 public_sector.analyze status=complete confidence=0.97 evidence_paths=30 latency_ms=216
[00:09.135] trace=000435 cycle=20 research.analyze status=complete confidence=0.85 evidence_paths=41 latency_ms=22
[00:09.155] trace=000436 cycle=20 reconciliation.merge status=complete confidence=0.92 evidence_paths=5 latency_ms=39
[00:09.188] trace=000437 cycle=20 validation.run status=complete confidence=0.80 evidence_paths=16 latency_ms=56
[00:09.205] trace=000438 cycle=20 human_review.apply status=complete confidence=0.87 evidence_paths=27 latency_ms=73
[00:09.235] trace=000439 cycle=20 output.render status=complete confidence=0.94 evidence_paths=38 latency_ms=90
[00:09.249] trace=000440 cycle=20 audit.persist status=complete confidence=0.82 evidence_paths=49 latency_ms=107
[00:09.276] trace=000441 cycle=21 runtime.initialize status=complete confidence=0.89 evidence_paths=13 latency_ms=124
[00:09.287] trace=000442 cycle=21 model.load_shards status=complete confidence=0.96 evidence_paths=24 latency_ms=141
[00:09.311] trace=000443 cycle=21 tokenizer.compile_vocabulary status=complete confidence=0.84 evidence_paths=35 latency_ms=158
[00:09.319] trace=000444 cycle=21 scheduler.compile_execution_graph status=complete confidence=0.91 evidence_paths=46 latency_ms=175
[00:09.340] trace=000445 cycle=21 source.acquire status=complete confidence=0.98 evidence_paths=10 latency_ms=192
[00:09.374] trace=000446 cycle=21 document.normalize status=complete confidence=0.86 evidence_paths=21 latency_ms=209
[00:09.392] trace=000447 cycle=21 index.build status=complete confidence=0.93 evidence_paths=32 latency_ms=15
[00:09.423] trace=000448 cycle=21 retrieval.execute status=complete confidence=0.81 evidence_paths=43 latency_ms=32
[00:09.438] trace=000449 cycle=21 entity.resolve status=complete confidence=0.88 evidence_paths=7 latency_ms=49
[00:09.466] trace=000450 cycle=21 claim.extract status=complete confidence=0.95 evidence_paths=18 latency_ms=66
[00:09.478] trace=000451 cycle=21 metric.extract status=complete confidence=0.83 evidence_paths=29 latency_ms=83
[00:09.503] trace=000452 cycle=21 timeline.construct status=complete confidence=0.90 evidence_paths=40 latency_ms=100
[00:09.512] trace=000453 cycle=21 conflict.detect status=complete confidence=0.97 evidence_paths=4 latency_ms=117
[00:09.534] trace=000454 cycle=21 diligence.analyze status=complete confidence=0.85 evidence_paths=15 latency_ms=134
[00:09.569] trace=000455 cycle=21 regulatory.analyze status=complete confidence=0.92 evidence_paths=26 latency_ms=151
[00:09.588] trace=000456 cycle=21 public_sector.analyze status=complete confidence=0.80 evidence_paths=37 latency_ms=168
[00:09.620] trace=000457 cycle=21 research.analyze status=complete confidence=0.87 evidence_paths=48 latency_ms=185
[00:09.636] trace=000458 cycle=21 reconciliation.merge status=complete confidence=0.94 evidence_paths=12 latency_ms=202
[00:09.665] trace=000459 cycle=21 validation.run status=complete confidence=0.82 evidence_paths=23 latency_ms=219
[00:09.678] trace=000460 cycle=21 human_review.apply status=complete confidence=0.89 evidence_paths=34 latency_ms=25
[00:09.704] trace=000461 cycle=21 output.render status=complete confidence=0.96 evidence_paths=45 latency_ms=42
[00:09.714] trace=000462 cycle=21 audit.persist status=complete confidence=0.84 evidence_paths=9 latency_ms=59
[00:09.737] trace=000463 cycle=22 runtime.initialize status=complete confidence=0.91 evidence_paths=20 latency_ms=76
[00:09.744] trace=000464 cycle=22 model.load_shards status=complete confidence=0.98 evidence_paths=31 latency_ms=93
[00:09.764] trace=000465 cycle=22 tokenizer.compile_vocabulary status=complete confidence=0.86 evidence_paths=42 latency_ms=110
[00:09.797] trace=000466 cycle=22 scheduler.compile_execution_graph status=complete confidence=0.93 evidence_paths=6 latency_ms=127
[00:09.814] trace=000467 cycle=22 source.acquire status=complete confidence=0.81 evidence_paths=17 latency_ms=144
[00:09.844] trace=000468 cycle=22 document.normalize status=complete confidence=0.88 evidence_paths=28 latency_ms=161
[00:09.858] trace=000469 cycle=22 index.build status=complete confidence=0.95 evidence_paths=39 latency_ms=178
[00:09.885] trace=000470 cycle=22 retrieval.execute status=complete confidence=0.83 evidence_paths=3 latency_ms=195
[00:09.896] trace=000471 cycle=22 entity.resolve status=complete confidence=0.90 evidence_paths=14 latency_ms=212
[00:09.920] trace=000472 cycle=22 claim.extract status=complete confidence=0.97 evidence_paths=25 latency_ms=18
[00:09.928] trace=000473 cycle=22 metric.extract status=complete confidence=0.85 evidence_paths=36 latency_ms=35
[00:09.949] trace=000474 cycle=22 timeline.construct status=complete confidence=0.92 evidence_paths=47 latency_ms=52
[00:09.983] trace=000475 cycle=22 conflict.detect status=complete confidence=0.80 evidence_paths=11 latency_ms=69
[00:10.001] trace=000476 cycle=22 diligence.analyze status=complete confidence=0.87 evidence_paths=22 latency_ms=86
[00:10.032] trace=000477 cycle=22 regulatory.analyze status=complete confidence=0.94 evidence_paths=33 latency_ms=103
[00:10.047] trace=000478 cycle=22 public_sector.analyze status=complete confidence=0.82 evidence_paths=44 latency_ms=120
[00:10.075] trace=000479 cycle=22 research.analyze status=complete confidence=0.89 evidence_paths=8 latency_ms=137
[00:10.087] trace=000480 cycle=22 reconciliation.merge status=complete confidence=0.96 evidence_paths=19 latency_ms=154
[00:10.112] trace=000481 cycle=22 validation.run status=complete confidence=0.84 evidence_paths=30 latency_ms=171
[00:10.121] trace=000482 cycle=22 human_review.apply status=complete confidence=0.91 evidence_paths=41 latency_ms=188
[00:10.143] trace=000483 cycle=22 output.render status=complete confidence=0.98 evidence_paths=5 latency_ms=205
[00:10.178] trace=000484 cycle=22 audit.persist status=complete confidence=0.86 evidence_paths=16 latency_ms=222
[00:10.197] trace=000485 cycle=23 runtime.initialize status=complete confidence=0.93 evidence_paths=27 latency_ms=28
[00:10.229] trace=000486 cycle=23 model.load_shards status=complete confidence=0.81 evidence_paths=38 latency_ms=45
[00:10.245] trace=000487 cycle=23 tokenizer.compile_vocabulary status=complete confidence=0.88 evidence_paths=49 latency_ms=62
[00:10.274] trace=000488 cycle=23 scheduler.compile_execution_graph status=complete confidence=0.95 evidence_paths=13 latency_ms=79
[00:10.287] trace=000489 cycle=23 source.acquire status=complete confidence=0.83 evidence_paths=24 latency_ms=96
[00:10.313] trace=000490 cycle=23 document.normalize status=complete confidence=0.90 evidence_paths=35 latency_ms=113
[00:10.323] trace=000491 cycle=23 index.build status=complete confidence=0.97 evidence_paths=46 latency_ms=130
[00:10.346] trace=000492 cycle=23 retrieval.execute status=complete confidence=0.85 evidence_paths=10 latency_ms=147
[00:10.353] trace=000493 cycle=23 entity.resolve status=complete confidence=0.92 evidence_paths=21 latency_ms=164
[00:10.373] trace=000494 cycle=23 claim.extract status=complete confidence=0.80 evidence_paths=32 latency_ms=181
[00:10.406] trace=000495 cycle=23 metric.extract status=complete confidence=0.87 evidence_paths=43 latency_ms=198
[00:10.423] trace=000496 cycle=23 timeline.construct status=complete confidence=0.94 evidence_paths=7 latency_ms=215
[00:10.453] trace=000497 cycle=23 conflict.detect status=complete confidence=0.82 evidence_paths=18 latency_ms=21
[00:10.467] trace=000498 cycle=23 diligence.analyze status=complete confidence=0.89 evidence_paths=29 latency_ms=38
[00:10.494] trace=000499 cycle=23 regulatory.analyze status=complete confidence=0.96 evidence_paths=40 latency_ms=55
[00:10.505] trace=000500 cycle=23 public_sector.analyze status=complete confidence=0.84 evidence_paths=4 latency_ms=72
[00:10.529] trace=000501 cycle=23 research.analyze status=complete confidence=0.91 evidence_paths=15 latency_ms=89
[00:10.537] trace=000502 cycle=23 reconciliation.merge status=complete confidence=0.98 evidence_paths=26 latency_ms=106
[00:10.558] trace=000503 cycle=23 validation.run status=complete confidence=0.86 evidence_paths=37 latency_ms=123
[00:10.592] trace=000504 cycle=23 human_review.apply status=complete confidence=0.93 evidence_paths=48 latency_ms=140
[00:10.610] trace=000505 cycle=23 output.render status=complete confidence=0.81 evidence_paths=12 latency_ms=157
[00:10.641] trace=000506 cycle=23 audit.persist status=complete confidence=0.88 evidence_paths=23 latency_ms=174
[00:10.656] trace=000507 cycle=24 runtime.initialize status=complete confidence=0.95 evidence_paths=34 latency_ms=191
[00:10.684] trace=000508 cycle=24 model.load_shards status=complete confidence=0.83 evidence_paths=45 latency_ms=208
[00:10.696] trace=000509 cycle=24 tokenizer.compile_vocabulary status=complete confidence=0.90 evidence_paths=9 latency_ms=14
[00:10.721] trace=000510 cycle=24 scheduler.compile_execution_graph status=complete confidence=0.97 evidence_paths=20 latency_ms=31
[00:10.730] trace=000511 cycle=24 source.acquire status=complete confidence=0.85 evidence_paths=31 latency_ms=48
[00:10.752] trace=000512 cycle=24 document.normalize status=complete confidence=0.92 evidence_paths=42 latency_ms=65
[00:10.787] trace=000513 cycle=24 index.build status=complete confidence=0.80 evidence_paths=6 latency_ms=82
[00:10.806] trace=000514 cycle=24 retrieval.execute status=complete confidence=0.87 evidence_paths=17 latency_ms=99
[00:10.838] trace=000515 cycle=24 entity.resolve status=complete confidence=0.94 evidence_paths=28 latency_ms=116
[00:10.854] trace=000516 cycle=24 claim.extract status=complete confidence=0.82 evidence_paths=39 latency_ms=133
[00:10.883] trace=000517 cycle=24 metric.extract status=complete confidence=0.89 evidence_paths=3 latency_ms=150
[00:10.896] trace=000518 cycle=24 timeline.construct status=complete confidence=0.96 evidence_paths=14 latency_ms=167
[00:10.922] trace=000519 cycle=24 conflict.detect status=complete confidence=0.84 evidence_paths=25 latency_ms=184
[00:10.932] trace=000520 cycle=24 diligence.analyze status=complete confidence=0.91 evidence_paths=36 latency_ms=201
[00:10.955] trace=000521 cycle=24 regulatory.analyze status=complete confidence=0.98 evidence_paths=47 latency_ms=218
[00:10.962] trace=000522 cycle=24 public_sector.analyze status=complete confidence=0.86 evidence_paths=11 latency_ms=24
[00:10.982] trace=000523 cycle=24 research.analyze status=complete confidence=0.93 evidence_paths=22 latency_ms=41
[00:11.015] trace=000524 cycle=24 reconciliation.merge status=complete confidence=0.81 evidence_paths=33 latency_ms=58
[00:11.032] trace=000525 cycle=24 validation.run status=complete confidence=0.88 evidence_paths=44 latency_ms=75
[00:11.062] trace=000526 cycle=24 human_review.apply status=complete confidence=0.95 evidence_paths=8 latency_ms=92
[00:11.076] trace=000527 cycle=24 output.render status=complete confidence=0.83 evidence_paths=19 latency_ms=109
[00:11.103] trace=000528 cycle=24 audit.persist status=complete confidence=0.90 evidence_paths=30 latency_ms=126
[00:11.114] trace=000529 cycle=25 runtime.initialize status=complete confidence=0.97 evidence_paths=41 latency_ms=143
[00:11.138] trace=000530 cycle=25 model.load_shards status=complete confidence=0.85 evidence_paths=5 latency_ms=160
[00:11.146] trace=000531 cycle=25 tokenizer.compile_vocabulary status=complete confidence=0.92 evidence_paths=16 latency_ms=177
[00:11.167] trace=000532 cycle=25 scheduler.compile_execution_graph status=complete confidence=0.80 evidence_paths=27 latency_ms=194
[00:11.201] trace=000533 cycle=25 source.acquire status=complete confidence=0.87 evidence_paths=38 latency_ms=211
[00:11.219] trace=000534 cycle=25 document.normalize status=complete confidence=0.94 evidence_paths=49 latency_ms=17
[00:11.250] trace=000535 cycle=25 index.build status=complete confidence=0.82 evidence_paths=13 latency_ms=34
[00:11.265] trace=000536 cycle=25 retrieval.execute status=complete confidence=0.89 evidence_paths=24 latency_ms=51
[00:11.293] trace=000537 cycle=25 entity.resolve status=complete confidence=0.96 evidence_paths=35 latency_ms=68
[00:11.305] trace=000538 cycle=25 claim.extract status=complete confidence=0.84 evidence_paths=46 latency_ms=85
[00:11.330] trace=000539 cycle=25 metric.extract status=complete confidence=0.91 evidence_paths=10 latency_ms=102
[00:11.339] trace=000540 cycle=25 timeline.construct status=complete confidence=0.98 evidence_paths=21 latency_ms=119
[00:11.361] trace=000541 cycle=25 conflict.detect status=complete confidence=0.86 evidence_paths=32 latency_ms=136
[00:11.396] trace=000542 cycle=25 diligence.analyze status=complete confidence=0.93 evidence_paths=43 latency_ms=153
[00:11.415] trace=000543 cycle=25 regulatory.analyze status=complete confidence=0.81 evidence_paths=7 latency_ms=170
[00:11.447] trace=000544 cycle=25 public_sector.analyze status=complete confidence=0.88 evidence_paths=18 latency_ms=187
[00:11.463] trace=000545 cycle=25 research.analyze status=complete confidence=0.95 evidence_paths=29 latency_ms=204
[00:11.492] trace=000546 cycle=25 reconciliation.merge status=complete confidence=0.83 evidence_paths=40 latency_ms=221
[00:11.505] trace=000547 cycle=25 validation.run status=complete confidence=0.90 evidence_paths=4 latency_ms=27
[00:11.531] trace=000548 cycle=25 human_review.apply status=complete confidence=0.97 evidence_paths=15 latency_ms=44
[00:11.541] trace=000549 cycle=25 output.render status=complete confidence=0.85 evidence_paths=26 latency_ms=61
[00:11.564] trace=000550 cycle=25 audit.persist status=complete confidence=0.92 evidence_paths=37 latency_ms=78
[00:11.571] trace=000551 cycle=26 runtime.initialize status=complete confidence=0.80 evidence_paths=48 latency_ms=95
[00:11.591] trace=000552 cycle=26 model.load_shards status=complete confidence=0.87 evidence_paths=12 latency_ms=112
[00:11.624] trace=000553 cycle=26 tokenizer.compile_vocabulary status=complete confidence=0.94 evidence_paths=23 latency_ms=129
[00:11.641] trace=000554 cycle=26 scheduler.compile_execution_graph status=complete confidence=0.82 evidence_paths=34 latency_ms=146
[00:11.671] trace=000555 cycle=26 source.acquire status=complete confidence=0.89 evidence_paths=45 latency_ms=163
[00:11.685] trace=000556 cycle=26 document.normalize status=complete confidence=0.96 evidence_paths=9 latency_ms=180
[00:11.712] trace=000557 cycle=26 index.build status=complete confidence=0.84 evidence_paths=20 latency_ms=197
[00:11.723] trace=000558 cycle=26 retrieval.execute status=complete confidence=0.91 evidence_paths=31 latency_ms=214
[00:11.747] trace=000559 cycle=26 entity.resolve status=complete confidence=0.98 evidence_paths=42 latency_ms=20
[00:11.755] trace=000560 cycle=26 claim.extract status=complete confidence=0.86 evidence_paths=6 latency_ms=37
[00:11.776] trace=000561 cycle=26 metric.extract status=complete confidence=0.93 evidence_paths=17 latency_ms=54
[00:11.810] trace=000562 cycle=26 timeline.construct status=complete confidence=0.81 evidence_paths=28 latency_ms=71
[00:11.828] trace=000563 cycle=26 conflict.detect status=complete confidence=0.88 evidence_paths=39 latency_ms=88
[00:11.859] trace=000564 cycle=26 diligence.analyze status=complete confidence=0.95 evidence_paths=3 latency_ms=105
[00:11.874] trace=000565 cycle=26 regulatory.analyze status=complete confidence=0.83 evidence_paths=14 latency_ms=122
[00:11.902] trace=000566 cycle=26 public_sector.analyze status=complete confidence=0.90 evidence_paths=25 latency_ms=139
[00:11.914] trace=000567 cycle=26 research.analyze status=complete confidence=0.97 evidence_paths=36 latency_ms=156
[00:11.939] trace=000568 cycle=26 reconciliation.merge status=complete confidence=0.85 evidence_paths=47 latency_ms=173
[00:11.948] trace=000569 cycle=26 validation.run status=complete confidence=0.92 evidence_paths=11 latency_ms=190
[00:11.970] trace=000570 cycle=26 human_review.apply status=complete confidence=0.80 evidence_paths=22 latency_ms=207
[00:12.005] trace=000571 cycle=26 output.render status=complete confidence=0.87 evidence_paths=33 latency_ms=13
[00:12.024] trace=000572 cycle=26 audit.persist status=complete confidence=0.94 evidence_paths=44 latency_ms=30
[00:12.056] trace=000573 cycle=27 runtime.initialize status=complete confidence=0.82 evidence_paths=8 latency_ms=47
[00:12.072] trace=000574 cycle=27 model.load_shards status=complete confidence=0.89 evidence_paths=19 latency_ms=64
[00:12.101] trace=000575 cycle=27 tokenizer.compile_vocabulary status=complete confidence=0.96 evidence_paths=30 latency_ms=81
[00:12.114] trace=000576 cycle=27 scheduler.compile_execution_graph status=complete confidence=0.84 evidence_paths=41 latency_ms=98
[00:12.140] trace=000577 cycle=27 source.acquire status=complete confidence=0.91 evidence_paths=5 latency_ms=115
[00:12.150] trace=000578 cycle=27 document.normalize status=complete confidence=0.98 evidence_paths=16 latency_ms=132
[00:12.173] trace=000579 cycle=27 index.build status=complete confidence=0.86 evidence_paths=27 latency_ms=149
[00:12.180] trace=000580 cycle=27 retrieval.execute status=complete confidence=0.93 evidence_paths=38 latency_ms=166
[00:12.200] trace=000581 cycle=27 entity.resolve status=complete confidence=0.81 evidence_paths=49 latency_ms=183
[00:12.233] trace=000582 cycle=27 claim.extract status=complete confidence=0.88 evidence_paths=13 latency_ms=200
[00:12.250] trace=000583 cycle=27 metric.extract status=complete confidence=0.95 evidence_paths=24 latency_ms=217
[00:12.280] trace=000584 cycle=27 timeline.construct status=complete confidence=0.83 evidence_paths=35 latency_ms=23
[00:12.294] trace=000585 cycle=27 conflict.detect status=complete confidence=0.90 evidence_paths=46 latency_ms=40
[00:12.321] trace=000586 cycle=27 diligence.analyze status=complete confidence=0.97 evidence_paths=10 latency_ms=57
[00:12.332] trace=000587 cycle=27 regulatory.analyze status=complete confidence=0.85 evidence_paths=21 latency_ms=74
[00:12.356] trace=000588 cycle=27 public_sector.analyze status=complete confidence=0.92 evidence_paths=32 latency_ms=91
[00:12.364] trace=000589 cycle=27 research.analyze status=complete confidence=0.80 evidence_paths=43 latency_ms=108
[00:12.385] trace=000590 cycle=27 reconciliation.merge status=complete confidence=0.87 evidence_paths=7 latency_ms=125
[00:12.419] trace=000591 cycle=27 validation.run status=complete confidence=0.94 evidence_paths=18 latency_ms=142
[00:12.437] trace=000592 cycle=27 human_review.apply status=complete confidence=0.82 evidence_paths=29 latency_ms=159
[00:12.468] trace=000593 cycle=27 output.render status=complete confidence=0.89 evidence_paths=40 latency_ms=176
[00:12.483] trace=000594 cycle=27 audit.persist status=complete confidence=0.96 evidence_paths=4 latency_ms=193
[00:12.511] trace=000595 cycle=28 runtime.initialize status=complete confidence=0.84 evidence_paths=15 latency_ms=210
[00:12.523] trace=000596 cycle=28 model.load_shards status=complete confidence=0.91 evidence_paths=26 latency_ms=16
[00:12.548] trace=000597 cycle=28 tokenizer.compile_vocabulary status=complete confidence=0.98 evidence_paths=37 latency_ms=33
[00:12.557] trace=000598 cycle=28 scheduler.compile_execution_graph status=complete confidence=0.86 evidence_paths=48 latency_ms=50
[00:12.579] trace=000599 cycle=28 source.acquire status=complete confidence=0.93 evidence_paths=12 latency_ms=67
[00:12.614] trace=000600 cycle=28 document.normalize status=complete confidence=0.81 evidence_paths=23 latency_ms=84
[00:12.633] trace=000601 cycle=28 index.build status=complete confidence=0.88 evidence_paths=34 latency_ms=101
[00:12.665] trace=000602 cycle=28 retrieval.execute status=complete confidence=0.95 evidence_paths=45 latency_ms=118
[00:12.681] trace=000603 cycle=28 entity.resolve status=complete confidence=0.83 evidence_paths=9 latency_ms=135
[00:12.710] trace=000604 cycle=28 claim.extract status=complete confidence=0.90 evidence_paths=20 latency_ms=152
[00:12.723] trace=000605 cycle=28 metric.extract status=complete confidence=0.97 evidence_paths=31 latency_ms=169
[00:12.749] trace=000606 cycle=28 timeline.construct status=complete confidence=0.85 evidence_paths=42 latency_ms=186
[00:12.759] trace=000607 cycle=28 conflict.detect status=complete confidence=0.92 evidence_paths=6 latency_ms=203
[00:12.782] trace=000608 cycle=28 diligence.analyze status=complete confidence=0.80 evidence_paths=17 latency_ms=220
[00:12.789] trace=000609 cycle=28 regulatory.analyze status=complete confidence=0.87 evidence_paths=28 latency_ms=26
[00:12.809] trace=000610 cycle=28 public_sector.analyze status=complete confidence=0.94 evidence_paths=39 latency_ms=43
[00:12.842] trace=000611 cycle=28 research.analyze status=complete confidence=0.82 evidence_paths=3 latency_ms=60
[00:12.859] trace=000612 cycle=28 reconciliation.merge status=complete confidence=0.89 evidence_paths=14 latency_ms=77
[00:12.889] trace=000613 cycle=28 validation.run status=complete confidence=0.96 evidence_paths=25 latency_ms=94
[00:12.903] trace=000614 cycle=28 human_review.apply status=complete confidence=0.84 evidence_paths=36 latency_ms=111
[00:12.930] trace=000615 cycle=28 output.render status=complete confidence=0.91 evidence_paths=47 latency_ms=128
[00:12.941] trace=000616 cycle=28 audit.persist status=complete confidence=0.98 evidence_paths=11 latency_ms=145
[00:12.965] trace=000617 cycle=29 runtime.initialize status=complete confidence=0.86 evidence_paths=22 latency_ms=162
[00:12.973] trace=000618 cycle=29 model.load_shards status=complete confidence=0.93 evidence_paths=33 latency_ms=179
[00:12.994] trace=000619 cycle=29 tokenizer.compile_vocabulary status=complete confidence=0.81 evidence_paths=44 latency_ms=196
[00:13.028] trace=000620 cycle=29 scheduler.compile_execution_graph status=complete confidence=0.88 evidence_paths=8 latency_ms=213
[00:13.046] trace=000621 cycle=29 source.acquire status=complete confidence=0.95 evidence_paths=19 latency_ms=19
[00:13.077] trace=000622 cycle=29 document.normalize status=complete confidence=0.83 evidence_paths=30 latency_ms=36
[00:13.092] trace=000623 cycle=29 index.build status=complete confidence=0.90 evidence_paths=41 latency_ms=53
[00:13.120] trace=000624 cycle=29 retrieval.execute status=complete confidence=0.97 evidence_paths=5 latency_ms=70
[00:13.132] trace=000625 cycle=29 entity.resolve status=complete confidence=0.85 evidence_paths=16 latency_ms=87
[00:13.157] trace=000626 cycle=29 claim.extract status=complete confidence=0.92 evidence_paths=27 latency_ms=104
[00:13.166] trace=000627 cycle=29 metric.extract status=complete confidence=0.80 evidence_paths=38 latency_ms=121
[00:13.188] trace=000628 cycle=29 timeline.construct status=complete confidence=0.87 evidence_paths=49 latency_ms=138
[00:13.223] trace=000629 cycle=29 conflict.detect status=complete confidence=0.94 evidence_paths=13 latency_ms=155
[00:13.242] trace=000630 cycle=29 diligence.analyze status=complete confidence=0.82 evidence_paths=24 latency_ms=172
[00:13.274] trace=000631 cycle=29 regulatory.analyze status=complete confidence=0.89 evidence_paths=35 latency_ms=189
[00:13.290] trace=000632 cycle=29 public_sector.analyze status=complete confidence=0.96 evidence_paths=46 latency_ms=206
[00:13.319] trace=000633 cycle=29 research.analyze status=complete confidence=0.84 evidence_paths=10 latency_ms=12
[00:13.332] trace=000634 cycle=29 reconciliation.merge status=complete confidence=0.91 evidence_paths=21 latency_ms=29
[00:13.358] trace=000635 cycle=29 validation.run status=complete confidence=0.98 evidence_paths=32 latency_ms=46
[00:13.368] trace=000636 cycle=29 human_review.apply status=complete confidence=0.86 evidence_paths=43 latency_ms=63
[00:13.391] trace=000637 cycle=29 output.render status=complete confidence=0.93 evidence_paths=7 latency_ms=80
[00:13.398] trace=000638 cycle=29 audit.persist status=complete confidence=0.81 evidence_paths=18 latency_ms=97
[00:13.418] trace=000639 cycle=30 runtime.initialize status=complete confidence=0.88 evidence_paths=29 latency_ms=114
[00:13.451] trace=000640 cycle=30 model.load_shards status=complete confidence=0.95 evidence_paths=40 latency_ms=131
[00:13.468] trace=000641 cycle=30 tokenizer.compile_vocabulary status=complete confidence=0.83 evidence_paths=4 latency_ms=148
[00:13.498] trace=000642 cycle=30 scheduler.compile_execution_graph status=complete confidence=0.90 evidence_paths=15 latency_ms=165
[00:13.512] trace=000643 cycle=30 source.acquire status=complete confidence=0.97 evidence_paths=26 latency_ms=182
[00:13.539] trace=000644 cycle=30 document.normalize status=complete confidence=0.85 evidence_paths=37 latency_ms=199
[00:13.550] trace=000645 cycle=30 index.build status=complete confidence=0.92 evidence_paths=48 latency_ms=216
[00:13.574] trace=000646 cycle=30 retrieval.execute status=complete confidence=0.80 evidence_paths=12 latency_ms=22
[00:13.582] trace=000647 cycle=30 entity.resolve status=complete confidence=0.87 evidence_paths=23 latency_ms=39
[00:13.603] trace=000648 cycle=30 claim.extract status=complete confidence=0.94 evidence_paths=34 latency_ms=56
[00:13.637] trace=000649 cycle=30 metric.extract status=complete confidence=0.82 evidence_paths=45 latency_ms=73
[00:13.655] trace=000650 cycle=30 timeline.construct status=complete confidence=0.89 evidence_paths=9 latency_ms=90
[00:13.686] trace=000651 cycle=30 conflict.detect status=complete confidence=0.96 evidence_paths=20 latency_ms=107
[00:13.701] trace=000652 cycle=30 diligence.analyze status=complete confidence=0.84 evidence_paths=31 latency_ms=124
[00:13.729] trace=000653 cycle=30 regulatory.analyze status=complete confidence=0.91 evidence_paths=42 latency_ms=141
[00:13.741] trace=000654 cycle=30 public_sector.analyze status=complete confidence=0.98 evidence_paths=6 latency_ms=158
[00:13.766] trace=000655 cycle=30 research.analyze status=complete confidence=0.86 evidence_paths=17 latency_ms=175
[00:13.775] trace=000656 cycle=30 reconciliation.merge status=complete confidence=0.93 evidence_paths=28 latency_ms=192
[00:13.797] trace=000657 cycle=30 validation.run status=complete confidence=0.81 evidence_paths=39 latency_ms=209
[00:13.832] trace=000658 cycle=30 human_review.apply status=complete confidence=0.88 evidence_paths=3 latency_ms=15
[00:13.851] trace=000659 cycle=30 output.render status=complete confidence=0.95 evidence_paths=14 latency_ms=32
[00:13.883] trace=000660 cycle=30 audit.persist status=complete confidence=0.83 evidence_paths=25 latency_ms=49
[00:13.899] trace=000661 cycle=31 runtime.initialize status=complete confidence=0.90 evidence_paths=36 latency_ms=66
[00:13.928] trace=000662 cycle=31 model.load_shards status=complete confidence=0.97 evidence_paths=47 latency_ms=83
[00:13.941] trace=000663 cycle=31 tokenizer.compile_vocabulary status=complete confidence=0.85 evidence_paths=11 latency_ms=100
[00:13.967] trace=000664 cycle=31 scheduler.compile_execution_graph status=complete confidence=0.92 evidence_paths=22 latency_ms=117
[00:13.977] trace=000665 cycle=31 source.acquire status=complete confidence=0.80 evidence_paths=33 latency_ms=134
[00:14.000] trace=000666 cycle=31 document.normalize status=complete confidence=0.87 evidence_paths=44 latency_ms=151
[00:14.007] trace=000667 cycle=31 index.build status=complete confidence=0.94 evidence_paths=8 latency_ms=168
[00:14.027] trace=000668 cycle=31 retrieval.execute status=complete confidence=0.82 evidence_paths=19 latency_ms=185
[00:14.060] trace=000669 cycle=31 entity.resolve status=complete confidence=0.89 evidence_paths=30 latency_ms=202
[00:14.077] trace=000670 cycle=31 claim.extract status=complete confidence=0.96 evidence_paths=41 latency_ms=219
[00:14.107] trace=000671 cycle=31 metric.extract status=complete confidence=0.84 evidence_paths=5 latency_ms=25
[00:14.121] trace=000672 cycle=31 timeline.construct status=complete confidence=0.91 evidence_paths=16 latency_ms=42
[00:14.148] trace=000673 cycle=31 conflict.detect status=complete confidence=0.98 evidence_paths=27 latency_ms=59
[00:14.159] trace=000674 cycle=31 diligence.analyze status=complete confidence=0.86 evidence_paths=38 latency_ms=76
[00:14.183] trace=000675 cycle=31 regulatory.analyze status=complete confidence=0.93 evidence_paths=49 latency_ms=93
[00:14.191] trace=000676 cycle=31 public_sector.analyze status=complete confidence=0.81 evidence_paths=13 latency_ms=110
[00:14.212] trace=000677 cycle=31 research.analyze status=complete confidence=0.88 evidence_paths=24 latency_ms=127
[00:14.246] trace=000678 cycle=31 reconciliation.merge status=complete confidence=0.95 evidence_paths=35 latency_ms=144
[00:14.264] trace=000679 cycle=31 validation.run status=complete confidence=0.83 evidence_paths=46 latency_ms=161
[00:14.295] trace=000680 cycle=31 human_review.apply status=complete confidence=0.90 evidence_paths=10 latency_ms=178
[00:14.310] trace=000681 cycle=31 output.render status=complete confidence=0.97 evidence_paths=21 latency_ms=195
[00:14.338] trace=000682 cycle=31 audit.persist status=complete confidence=0.85 evidence_paths=32 latency_ms=212
[00:14.350] trace=000683 cycle=32 runtime.initialize status=complete confidence=0.92 evidence_paths=43 latency_ms=18
[00:14.375] trace=000684 cycle=32 model.load_shards status=complete confidence=0.80 evidence_paths=7 latency_ms=35
[00:14.384] trace=000685 cycle=32 tokenizer.compile_vocabulary status=complete confidence=0.87 evidence_paths=18 latency_ms=52
[00:14.406] trace=000686 cycle=32 scheduler.compile_execution_graph status=complete confidence=0.94 evidence_paths=29 latency_ms=69
[00:14.441] trace=000687 cycle=32 source.acquire status=complete confidence=0.82 evidence_paths=40 latency_ms=86
[00:14.460] trace=000688 cycle=32 document.normalize status=complete confidence=0.89 evidence_paths=4 latency_ms=103
[00:14.492] trace=000689 cycle=32 index.build status=complete confidence=0.96 evidence_paths=15 latency_ms=120
[00:14.508] trace=000690 cycle=32 retrieval.execute status=complete confidence=0.84 evidence_paths=26 latency_ms=137
[00:14.537] trace=000691 cycle=32 entity.resolve status=complete confidence=0.91 evidence_paths=37 latency_ms=154
[00:14.550] trace=000692 cycle=32 claim.extract status=complete confidence=0.98 evidence_paths=48 latency_ms=171
[00:14.576] trace=000693 cycle=32 metric.extract status=complete confidence=0.86 evidence_paths=12 latency_ms=188
[00:14.586] trace=000694 cycle=32 timeline.construct status=complete confidence=0.93 evidence_paths=23 latency_ms=205
[00:14.609] trace=000695 cycle=32 conflict.detect status=complete confidence=0.81 evidence_paths=34 latency_ms=222
[00:14.616] trace=000696 cycle=32 diligence.analyze status=complete confidence=0.88 evidence_paths=45 latency_ms=28
[00:14.636] trace=000697 cycle=32 regulatory.analyze status=complete confidence=0.95 evidence_paths=9 latency_ms=45
[00:14.669] trace=000698 cycle=32 public_sector.analyze status=complete confidence=0.83 evidence_paths=20 latency_ms=62
[00:14.686] trace=000699 cycle=32 research.analyze status=complete confidence=0.90 evidence_paths=31 latency_ms=79
[00:14.716] trace=000700 cycle=32 reconciliation.merge status=complete confidence=0.97 evidence_paths=42 latency_ms=96
[00:14.730] trace=000701 cycle=32 validation.run status=complete confidence=0.85 evidence_paths=6 latency_ms=113
[00:14.757] trace=000702 cycle=32 human_review.apply status=complete confidence=0.92 evidence_paths=17 latency_ms=130
[00:14.768] trace=000703 cycle=32 output.render status=complete confidence=0.80 evidence_paths=28 latency_ms=147
[00:14.792] trace=000704 cycle=32 audit.persist status=complete confidence=0.87 evidence_paths=39 latency_ms=164
/* ============================================================================================ */
/* PER-LAYER TOKEN FLOW TRACE
/* ============================================================================================ */
[00:14.800] model.layer=00 phase=rms_norm_attention status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:14.813] model.layer=00 phase=qkv_projection status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:14.820] model.layer=00 phase=rotary_position_encoding status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:14.832] model.layer=00 phase=paged_kv_cache_append status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:14.838] model.layer=00 phase=flash_attention status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:14.849] model.layer=00 phase=attention_output_projection status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:14.854] model.layer=00 phase=residual_merge status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:14.864] model.layer=00 phase=rms_norm_expert status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:14.868] model.layer=00 phase=expert_router_topk status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:14.877] model.layer=00 phase=expert_dispatch status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:14.880] model.layer=00 phase=silu_gated_mlp status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:14.888] model.layer=00 phase=expert_combine status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:14.901] model.layer=00 phase=residual_commit status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:14.908] model.layer=00 phase=activation_guard status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:14.920] model.layer=01 phase=rms_norm_attention status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:14.926] model.layer=01 phase=qkv_projection status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:14.937] model.layer=01 phase=rotary_position_encoding status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:14.942] model.layer=01 phase=paged_kv_cache_append status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:14.952] model.layer=01 phase=flash_attention status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:14.956] model.layer=01 phase=attention_output_projection status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:14.965] model.layer=01 phase=residual_merge status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:14.968] model.layer=01 phase=rms_norm_expert status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:14.976] model.layer=01 phase=expert_router_topk status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:14.989] model.layer=01 phase=expert_dispatch status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:14.996] model.layer=01 phase=silu_gated_mlp status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.008] model.layer=01 phase=expert_combine status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.014] model.layer=01 phase=residual_commit status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.025] model.layer=01 phase=activation_guard status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.030] model.layer=02 phase=rms_norm_attention status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.040] model.layer=02 phase=qkv_projection status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.044] model.layer=02 phase=rotary_position_encoding status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.053] model.layer=02 phase=paged_kv_cache_append status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.056] model.layer=02 phase=flash_attention status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.064] model.layer=02 phase=attention_output_projection status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.077] model.layer=02 phase=residual_merge status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.084] model.layer=02 phase=rms_norm_expert status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.096] model.layer=02 phase=expert_router_topk status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.102] model.layer=02 phase=expert_dispatch status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.113] model.layer=02 phase=silu_gated_mlp status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.118] model.layer=02 phase=expert_combine status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.128] model.layer=02 phase=residual_commit status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.132] model.layer=02 phase=activation_guard status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.141] model.layer=03 phase=rms_norm_attention status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.144] model.layer=03 phase=qkv_projection status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.152] model.layer=03 phase=rotary_position_encoding status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.165] model.layer=03 phase=paged_kv_cache_append status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.172] model.layer=03 phase=flash_attention status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.184] model.layer=03 phase=attention_output_projection status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.190] model.layer=03 phase=residual_merge status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.201] model.layer=03 phase=rms_norm_expert status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.206] model.layer=03 phase=expert_router_topk status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.216] model.layer=03 phase=expert_dispatch status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.220] model.layer=03 phase=silu_gated_mlp status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.229] model.layer=03 phase=expert_combine status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.232] model.layer=03 phase=residual_commit status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.240] model.layer=03 phase=activation_guard status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.253] model.layer=04 phase=rms_norm_attention status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.260] model.layer=04 phase=qkv_projection status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.272] model.layer=04 phase=rotary_position_encoding status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.278] model.layer=04 phase=paged_kv_cache_append status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.289] model.layer=04 phase=flash_attention status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.294] model.layer=04 phase=attention_output_projection status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.304] model.layer=04 phase=residual_merge status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.308] model.layer=04 phase=rms_norm_expert status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.317] model.layer=04 phase=expert_router_topk status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.320] model.layer=04 phase=expert_dispatch status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.328] model.layer=04 phase=silu_gated_mlp status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.341] model.layer=04 phase=expert_combine status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.348] model.layer=04 phase=residual_commit status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.360] model.layer=04 phase=activation_guard status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.366] model.layer=05 phase=rms_norm_attention status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.377] model.layer=05 phase=qkv_projection status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.382] model.layer=05 phase=rotary_position_encoding status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.392] model.layer=05 phase=paged_kv_cache_append status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.396] model.layer=05 phase=flash_attention status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.405] model.layer=05 phase=attention_output_projection status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.408] model.layer=05 phase=residual_merge status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.416] model.layer=05 phase=rms_norm_expert status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.429] model.layer=05 phase=expert_router_topk status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.436] model.layer=05 phase=expert_dispatch status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.448] model.layer=05 phase=silu_gated_mlp status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.454] model.layer=05 phase=expert_combine status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.465] model.layer=05 phase=residual_commit status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.470] model.layer=05 phase=activation_guard status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.480] model.layer=06 phase=rms_norm_attention status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.484] model.layer=06 phase=qkv_projection status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.493] model.layer=06 phase=rotary_position_encoding status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.496] model.layer=06 phase=paged_kv_cache_append status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.504] model.layer=06 phase=flash_attention status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.517] model.layer=06 phase=attention_output_projection status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.524] model.layer=06 phase=residual_merge status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.536] model.layer=06 phase=rms_norm_expert status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.542] model.layer=06 phase=expert_router_topk status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.553] model.layer=06 phase=expert_dispatch status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.558] model.layer=06 phase=silu_gated_mlp status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.568] model.layer=06 phase=expert_combine status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.572] model.layer=06 phase=residual_commit status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.581] model.layer=06 phase=activation_guard status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.584] model.layer=07 phase=rms_norm_attention status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.592] model.layer=07 phase=qkv_projection status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.605] model.layer=07 phase=rotary_position_encoding status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.612] model.layer=07 phase=paged_kv_cache_append status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.624] model.layer=07 phase=flash_attention status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.630] model.layer=07 phase=attention_output_projection status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.641] model.layer=07 phase=residual_merge status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.646] model.layer=07 phase=rms_norm_expert status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.656] model.layer=07 phase=expert_router_topk status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.660] model.layer=07 phase=expert_dispatch status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.669] model.layer=07 phase=silu_gated_mlp status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.672] model.layer=07 phase=expert_combine status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.680] model.layer=07 phase=residual_commit status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.693] model.layer=07 phase=activation_guard status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.700] model.layer=08 phase=rms_norm_attention status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.712] model.layer=08 phase=qkv_projection status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.718] model.layer=08 phase=rotary_position_encoding status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.729] model.layer=08 phase=paged_kv_cache_append status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.734] model.layer=08 phase=flash_attention status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.744] model.layer=08 phase=attention_output_projection status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.748] model.layer=08 phase=residual_merge status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.757] model.layer=08 phase=rms_norm_expert status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.760] model.layer=08 phase=expert_router_topk status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.768] model.layer=08 phase=expert_dispatch status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.781] model.layer=08 phase=silu_gated_mlp status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.788] model.layer=08 phase=expert_combine status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.800] model.layer=08 phase=residual_commit status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.806] model.layer=08 phase=activation_guard status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.817] model.layer=09 phase=rms_norm_attention status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:15.822] model.layer=09 phase=qkv_projection status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
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[00:17.302] model.layer=22 phase=flash_attention status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
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[00:17.332] model.layer=22 phase=expert_router_topk status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:17.341] model.layer=22 phase=expert_dispatch status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:17.344] model.layer=22 phase=silu_gated_mlp status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:17.352] model.layer=22 phase=expert_combine status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:17.365] model.layer=22 phase=residual_commit status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
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[00:17.453] model.layer=23 phase=expert_dispatch status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
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[00:18.462] model.layer=32 phase=expert_dispatch status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
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[00:18.476] model.layer=32 phase=expert_combine status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:18.485] model.layer=32 phase=residual_commit status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
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[00:18.685] model.layer=34 phase=expert_dispatch status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
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[00:18.749] model.layer=35 phase=paged_kv_cache_append status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
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[00:18.773] model.layer=35 phase=residual_merge status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
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[00:18.792] model.layer=35 phase=expert_router_topk status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:18.798] model.layer=35 phase=expert_dispatch status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
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[00:18.814] model.layer=35 phase=expert_combine status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
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[00:18.828] model.layer=35 phase=activation_guard status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
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[00:19.016] model.layer=37 phase=expert_dispatch status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
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[00:20.276] model.layer=48 phase=residual_commit status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:20.288] model.layer=48 phase=activation_guard status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
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[00:21.376] model.layer=58 phase=expert_dispatch status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
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[00:21.765] model.layer=62 phase=rotary_position_encoding status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:21.772] model.layer=62 phase=paged_kv_cache_append status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:21.784] model.layer=62 phase=flash_attention status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:21.790] model.layer=62 phase=attention_output_projection status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:21.801] model.layer=62 phase=residual_merge status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:21.806] model.layer=62 phase=rms_norm_expert status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:21.816] model.layer=62 phase=expert_router_topk status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:21.820] model.layer=62 phase=expert_dispatch status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:21.829] model.layer=62 phase=silu_gated_mlp status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:21.832] model.layer=62 phase=expert_combine status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:21.840] model.layer=62 phase=residual_commit status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:21.853] model.layer=62 phase=activation_guard status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
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[00:21.928] model.layer=63 phase=expert_dispatch status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
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[00:21.960] model.layer=63 phase=residual_commit status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
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[00:22.048] model.layer=64 phase=expert_dispatch status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
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[00:22.158] model.layer=65 phase=expert_dispatch status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
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[00:22.269] model.layer=66 phase=expert_dispatch status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
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[00:22.381] model.layer=67 phase=expert_dispatch status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
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[00:22.608] model.layer=69 phase=expert_dispatch status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
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[00:22.712] model.layer=70 phase=expert_dispatch status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
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[00:22.740] model.layer=70 phase=residual_commit status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
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[00:22.828] model.layer=71 phase=expert_dispatch status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
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[00:22.846] model.layer=71 phase=expert_combine status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:22.857] model.layer=71 phase=residual_commit status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:22.862] model.layer=71 phase=activation_guard status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
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[00:22.876] model.layer=72 phase=qkv_projection status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
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[00:22.888] model.layer=72 phase=paged_kv_cache_append status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
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[00:22.945] model.layer=72 phase=expert_dispatch status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:22.950] model.layer=72 phase=silu_gated_mlp status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:22.960] model.layer=72 phase=expert_combine status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:22.964] model.layer=72 phase=residual_commit status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
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[00:23.152] model.layer=74 phase=expert_router_topk status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:23.160] model.layer=74 phase=expert_dispatch status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
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[00:23.180] model.layer=74 phase=expert_combine status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:23.192] model.layer=74 phase=residual_commit status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:23.198] model.layer=74 phase=activation_guard status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
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[00:23.214] model.layer=75 phase=qkv_projection status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:23.224] model.layer=75 phase=rotary_position_encoding status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:23.228] model.layer=75 phase=paged_kv_cache_append status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
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[00:23.248] model.layer=75 phase=residual_merge status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
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[00:24.736] model.layer=88 phase=silu_gated_mlp status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:24.744] model.layer=88 phase=expert_combine status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:24.757] model.layer=88 phase=residual_commit status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:24.764] model.layer=88 phase=activation_guard status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:24.776] model.layer=89 phase=rms_norm_attention status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:24.782] model.layer=89 phase=qkv_projection status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:24.793] model.layer=89 phase=rotary_position_encoding status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:24.798] model.layer=89 phase=paged_kv_cache_append status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:24.808] model.layer=89 phase=flash_attention status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:24.812] model.layer=89 phase=attention_output_projection status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:24.821] model.layer=89 phase=residual_merge status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:24.824] model.layer=89 phase=rms_norm_expert status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:24.832] model.layer=89 phase=expert_router_topk status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:24.845] model.layer=89 phase=expert_dispatch status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:24.852] model.layer=89 phase=silu_gated_mlp status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:24.864] model.layer=89 phase=expert_combine status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:24.870] model.layer=89 phase=residual_commit status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:24.881] model.layer=89 phase=activation_guard status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:24.886] model.layer=90 phase=rms_norm_attention status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:24.896] model.layer=90 phase=qkv_projection status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:24.900] model.layer=90 phase=rotary_position_encoding status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:24.909] model.layer=90 phase=paged_kv_cache_append status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:24.912] model.layer=90 phase=flash_attention status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:24.920] model.layer=90 phase=attention_output_projection status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:24.933] model.layer=90 phase=residual_merge status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:24.940] model.layer=90 phase=rms_norm_expert status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:24.952] model.layer=90 phase=expert_router_topk status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:24.958] model.layer=90 phase=expert_dispatch status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:24.969] model.layer=90 phase=silu_gated_mlp status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:24.974] model.layer=90 phase=expert_combine status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:24.984] model.layer=90 phase=residual_commit status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:24.988] model.layer=90 phase=activation_guard status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:24.997] model.layer=91 phase=rms_norm_attention status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:25.000] model.layer=91 phase=qkv_projection status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:25.008] model.layer=91 phase=rotary_position_encoding status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:25.021] model.layer=91 phase=paged_kv_cache_append status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:25.028] model.layer=91 phase=flash_attention status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:25.040] model.layer=91 phase=attention_output_projection status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:25.046] model.layer=91 phase=residual_merge status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:25.057] model.layer=91 phase=rms_norm_expert status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:25.062] model.layer=91 phase=expert_router_topk status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:25.072] model.layer=91 phase=expert_dispatch status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:25.076] model.layer=91 phase=silu_gated_mlp status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:25.085] model.layer=91 phase=expert_combine status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:25.088] model.layer=91 phase=residual_commit status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:25.096] model.layer=91 phase=activation_guard status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:25.109] model.layer=92 phase=rms_norm_attention status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:25.116] model.layer=92 phase=qkv_projection status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:25.128] model.layer=92 phase=rotary_position_encoding status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:25.134] model.layer=92 phase=paged_kv_cache_append status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:25.145] model.layer=92 phase=flash_attention status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:25.150] model.layer=92 phase=attention_output_projection status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:25.160] model.layer=92 phase=residual_merge status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:25.164] model.layer=92 phase=rms_norm_expert status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:25.173] model.layer=92 phase=expert_router_topk status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:25.176] model.layer=92 phase=expert_dispatch status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:25.184] model.layer=92 phase=silu_gated_mlp status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:25.197] model.layer=92 phase=expert_combine status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:25.204] model.layer=92 phase=residual_commit status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:25.216] model.layer=92 phase=activation_guard status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:25.222] model.layer=93 phase=rms_norm_attention status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:25.233] model.layer=93 phase=qkv_projection status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:25.238] model.layer=93 phase=rotary_position_encoding status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:25.248] model.layer=93 phase=paged_kv_cache_append status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:25.252] model.layer=93 phase=flash_attention status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:25.261] model.layer=93 phase=attention_output_projection status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:25.264] model.layer=93 phase=residual_merge status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:25.272] model.layer=93 phase=rms_norm_expert status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:25.285] model.layer=93 phase=expert_router_topk status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:25.292] model.layer=93 phase=expert_dispatch status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:25.304] model.layer=93 phase=silu_gated_mlp status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:25.310] model.layer=93 phase=expert_combine status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:25.321] model.layer=93 phase=residual_commit status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:25.326] model.layer=93 phase=activation_guard status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:25.336] model.layer=94 phase=rms_norm_attention status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:25.340] model.layer=94 phase=qkv_projection status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:25.349] model.layer=94 phase=rotary_position_encoding status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:25.352] model.layer=94 phase=paged_kv_cache_append status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:25.360] model.layer=94 phase=flash_attention status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:25.373] model.layer=94 phase=attention_output_projection status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:25.380] model.layer=94 phase=residual_merge status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:25.392] model.layer=94 phase=rms_norm_expert status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:25.398] model.layer=94 phase=expert_router_topk status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:25.409] model.layer=94 phase=expert_dispatch status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:25.414] model.layer=94 phase=silu_gated_mlp status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:25.424] model.layer=94 phase=expert_combine status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:25.428] model.layer=94 phase=residual_commit status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:25.437] model.layer=94 phase=activation_guard status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:25.440] model.layer=95 phase=rms_norm_attention status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:25.448] model.layer=95 phase=qkv_projection status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:25.461] model.layer=95 phase=rotary_position_encoding status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:25.468] model.layer=95 phase=paged_kv_cache_append status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:25.480] model.layer=95 phase=flash_attention status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:25.486] model.layer=95 phase=attention_output_projection status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:25.497] model.layer=95 phase=residual_merge status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:25.502] model.layer=95 phase=rms_norm_expert status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:25.512] model.layer=95 phase=expert_router_topk status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:25.516] model.layer=95 phase=expert_dispatch status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:25.525] model.layer=95 phase=silu_gated_mlp status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:25.528] model.layer=95 phase=expert_combine status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:25.536] model.layer=95 phase=residual_commit status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
[00:25.549] model.layer=95 phase=activation_guard status=ok tensor_shape=[1,4096,16384] dtype=bf16 finite=true
/* ============================================================================================ */
/* FINAL SYSTEM STATE
/* ============================================================================================ */
runtime.finalize({
workflow_status: "approved",
model_status: "stable",
source_lineage: "preserved",
calculations: "independently_verified",
contradictions: "surfaced",
uncertainty: "calibrated",
human_steering: "recorded",
audit_package: "sealed",
output: "audit_ready"
});
}
`;
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