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schema_version: "0.1"
created: "2026-05-16"
source_inventory: observables/observables.yaml
status: gated_aggregation_rule_spec

purpose: >
  Executable staged aggregation layer for joining sparse rule outputs
  into algorithm-facing capacity, warning-height training-like, suppressor,
  discrepancy, and final-routing claims. Aggregation consumes sparse rule
  categories and labels by default; raw feature interpretation remains in the
  active sparse rule files.

source_and_calibration_policy:
  online_research_checked: "2026-05-16"
  source_ledger: observables/rules/source_ledger.yaml
  notes:
    - "S01 confirms the 1.0e25 FLOP policy-scale threshold; this is scale, not workload identity."
    - "S07-S09 and S36-S39 support accelerator/activity telemetry surfaces but not portable training-identity thresholds."
    - "S11-S17 support collective, sharded, and distributed-training communication mechanisms, while also showing why HPC/MPI and benchmark alternatives must be checked."
    - "S28-S35 support flow-log, storage-log, and billing coverage/delay caveats; missing or delayed channels must not be treated as cleared suppressors."
    - "S45-S47 support checkpoint and distributed-checkpoint storage behavior, but checkpoint-like writes can also be storage maintenance, copy, backup, restore, or export activity."

aggregation_policy:
  stage_order:
    - A_capacity_gate
    - B_training_candidate_detection
    - C_discrepancy_and_explanation_review
    - final_claim_routing
  scope_join_policy:
    default_scope_match: same_monitored_scope_or_mapped_child_scope
    child_scope_rollup: "Roll up child scopes only when the mapping coverage is explicit for the candidate window."
    no_hidden_capacity_policy: "Hidden, unknown, or out-of-scope capacity prevents strong negative certification."
  window_segmentation_policy:
    segmentation_signal: capacity_segment_window
    split_at:
      - inventory_validity_boundary
      - advertised_peak_rate_validity_boundary
      - quota_or_reservation_boundary
      - running_or_billing_interval_boundary
      - partition_interval_boundary
      - maintenance_interval_boundary
      - health_degraded_or_throttle_state_boundary
      - electrical_service_or_installation_boundary
      - topology_domain_or_route_change_boundary
      - clock_drift_correction_boundary
  short_circuit_policy:
    stop_segment_if:
      - label: capacity_ruled_out_for_scope
        confidence: conservative_bound
        min_coverage_fraction:
          value_ref: min_capacity_ruleout_coverage_fraction
        do_not_run_stages:
          - B_training_candidate_detection
          - C_discrepancy_and_explanation_review
        rationale: "A high-coverage conservative upper bound below the policy threshold rules out threshold-scale compute for the monitored scope/window."
    do_not_stop_if:
      - capacity_unknown_due_to_missing_inputs
      - capacity_limited_but_not_ruled_out
      - capacity_possible_for_scope
      - capacity_possible_under_sparse_assumptions
  missing_data_policy:
    general: "Missing primary, suppressor, coverage, or clock-alignment data emits an explicit missingness or inconclusive claim; it is not interpreted as absence."
    suppressor_channels: "Missing expected suppressor channels block high warning heights."
  final_warning_heights:
    ordered_values:
      - none
      - weak_training_like_candidate
      - medium_training_like_warning
      - high_training_like_warning
    hard_constraints:
      - "Activity alone cannot produce any training-like warning above weak candidate routing."
      - "Fabric evidence alone cannot produce a training-like warning."
      - "Storage writes alone cannot produce a training-like warning."
      - "Large compute alone emits large_compute_candidate or large_compute_training_identity_unresolved, not training."
      - "High warning requires capacity possible/unknown, accelerator activity or achieved operations, at least two independent aligned B/supporting identity categories, checked suppressors, and no unresolved strong discrepancy."
  global_calibration_defaults:
    - name: min_capacity_ruleout_coverage_fraction
      value: 0.90
      unit: fraction
      evidence_status: calibration_default
      source_refs: [S07, S08, S09, S18, S23, S26, S35, S40, S41]
      rationale: "Negative capacity claims require high coverage of inventory, service, availability, and peak-rate inputs."
      counterevidence_or_failure_modes:
        - "missing inventory, peak rate, electrical service, cloud scope, or hidden capacity can invalidate a rule-out"
      calibration_note: "Replace with source-specific completeness guarantees for the monitored scope."
    - name: policy_threshold_operations
      value: 1.0e+25
      unit: operations
      evidence_status: source_backed
      source_refs: [S01, S03]
      rationale: "Policy-scale compute threshold used for capacity and large-compute review; it is not workload identity."
      counterevidence_or_failure_modes:
        - "large inference, synthetic data generation, HPC, benchmarks, and burn-in can cross the same scale"
      calibration_note: "Replace only if governing policy threshold changes."

aggregation_rules:
  - id: capacity_gate_segment_ruleout
    purpose: capacity_gate
    stage: A_capacity_gate
    consumes:
      rule_output_categories:
        all:
          - capacity_policy_scale
        any:
          - capacity_count_or_shape
          - capacity_peak_rate
          - capacity_availability
          - capacity_power_service
          - capacity_topology
      derived_signals:
        - capacity_segment_window
        - capacity_upper_bound_flop
        - telemetry_coverage_fraction
        - clock_aligned_overlap_window
    time_alignment:
      segmentation: capacity_segment_window
      scope_match: same_monitored_scope_or_mapped_child_scope
      minimum_capacity_coverage_fraction:
        value_ref: min_capacity_ruleout_coverage_fraction
      clock_alignment_confidence:
        value_ref: min_capacity_clock_alignment_confidence
      missing_data_behavior: capacity_unknown_due_to_missing_inputs
      short_circuit_behavior: "On emitted capacity_ruled_out_for_scope, stop B and C for this capacity segment."
    trigger:
      type: aggregation_gate_logic
      conditions:
        all:
          - metric: capacity_upper_bound_flop.unit_normalized
            op: "=="
            value: true
          - metric: capacity_upper_bound_flop.capacity_upper_bound_operations
            op: "<"
            value_ref: policy_threshold_operations
          - metric: capacity_upper_bound_flop.coverage_fraction
            op: ">="
            value_ref: min_capacity_ruleout_coverage_fraction
          - metric: clock_aligned_overlap_window.clock_alignment_confidence
            op: ">="
            value_ref: min_capacity_clock_alignment_confidence
        none:
          - metric: capacity_upper_bound_flop.hidden_or_unmonitored_capacity_possible
            op: "=="
            value: true
          - metric: capacity_upper_bound_flop.missing_required_peak_rate
            op: "=="
            value: true
    emitted_claim:
      label: capacity_ruled_out_for_scope
      stage_result: stop_segment
      max_confidence: conservative_bound
      warning_height: none
      statement: "Threshold-scale compute is conservatively ruled out for the monitored scope/window."
    missing_data_behavior: "Emit capacity_unknown_due_to_missing_inputs when coverage, unit normalization, scope mapping, clock alignment, peak rate, inventory, or service state is insufficient."
    cannot_conclude:
      - training
      - no_non_threshold_training
      - no_hidden_out_of_scope_run
    calibration_defaults:
      - name: policy_threshold_operations
        value: 1.0e+25
        unit: operations
        evidence_status: source_backed
        source_refs: [S01, S03]
        rationale: "Policy review scale for large compute; not workload identity."
        counterevidence_or_failure_modes:
          - "threshold-scale compute can be non-training"
        calibration_note: "Replace only if governing policy threshold changes."
      - name: min_capacity_ruleout_coverage_fraction
        value: 0.90
        unit: fraction
        evidence_status: calibration_default
        source_refs: [S07, S08, S09, S18, S23, S26, S35, S40, S41]
        rationale: "Strong rule-out requires high capacity input coverage."
        counterevidence_or_failure_modes:
          - "missing inventory, peak rate, service, quota, or hidden capacity can invalidate rule-out"
        calibration_note: "Replace with source-specific coverage requirements."
      - name: min_capacity_clock_alignment_confidence
        value: 0.80
        unit: score_0_to_1
        evidence_status: calibration_default
        source_refs: [S18, S21, S22, S23, S26, S28, S29, S35]
        rationale: "Capacity validity intervals and source records must align before a negative conclusion is trusted."
        counterevidence_or_failure_modes:
          - "clock drift or delayed cloud/provider records can shift apparent capacity boundaries"
        calibration_note: "Replace with measured clock drift and source delivery-delay bounds."

  - id: capacity_gate_live_segment_classification
    purpose: capacity_gate
    stage: A_capacity_gate
    consumes:
      rule_output_categories:
        any:
          - capacity_count_or_shape
          - capacity_peak_rate
          - capacity_memory
          - capacity_topology
          - capacity_availability
          - capacity_power_service
          - capacity_policy_scale
      derived_signals:
        - capacity_segment_window
        - capacity_upper_bound_flop
        - telemetry_coverage_fraction
    time_alignment:
      segmentation: capacity_segment_window
      scope_match: same_monitored_scope_or_mapped_child_scope
      minimum_overlap_fraction:
        value_ref: min_capacity_live_overlap_fraction
      missing_data_behavior: capacity_unknown_due_to_missing_inputs
      short_circuit_behavior: "Never short-circuit B/C from this rule; live segments continue to B."
    aggregation_logic:
      ordered_classification:
        - output: capacity_possible_for_scope
          when:
            all:
              - metric: capacity_upper_bound_flop.capacity_upper_bound_operations
                op: ">="
                value_ref: policy_threshold_operations
              - metric: capacity_upper_bound_flop.coverage_fraction
                op: ">="
                value_ref: min_capacity_possible_coverage_fraction
        - output: capacity_limited_but_not_ruled_out
          when:
            all:
              - category: capacity_availability
              - metric: capacity_upper_bound_flop.coverage_fraction
                op: "<"
                value_ref: min_capacity_ruleout_coverage_fraction
            any:
              - category: capacity_count_or_shape
              - category: capacity_peak_rate
              - category: capacity_power_service
        - output: capacity_unknown_due_to_missing_inputs
          when:
            any:
              - missing_category: capacity_count_or_shape
              - missing_category: capacity_peak_rate
              - metric: telemetry_coverage_fraction.primary_channel_min
                op: "<"
                value_ref: min_capacity_possible_coverage_fraction
    emitted_claim:
      label: capacity_segment_live_for_B
      possible_outputs:
        - capacity_possible_for_scope
        - capacity_limited_but_not_ruled_out
        - capacity_unknown_due_to_missing_inputs
      stage_result: continue_segment
      max_confidence: weak
      statement: "The capacity segment remains live for B candidate detection unless separately ruled out by a conservative high-coverage upper bound."
    missing_data_behavior: "Emit capacity_unknown_due_to_missing_inputs and keep the segment live."
    cannot_conclude:
      - training
      - capacity_ruled_out_for_scope
    calibration_defaults:
      - name: policy_threshold_operations
        value: 1.0e+25
        unit: operations
        evidence_status: source_backed
        source_refs: [S01, S03]
        rationale: "Policy-scale compute threshold for feasibility review."
        counterevidence_or_failure_modes:
          - "policy threshold does not classify workload type"
        calibration_note: "Replace only if governing policy threshold changes."
      - name: min_capacity_possible_coverage_fraction
        value: 0.60
        unit: fraction
        evidence_status: calibration_default
        source_refs: [S07, S08, S09, S18, S23, S26, S35]
        rationale: "Live capacity classification can proceed at lower coverage than a negative rule-out because missingness keeps B/C alive."
        counterevidence_or_failure_modes:
          - "low coverage can overstate or understate available capacity"
        calibration_note: "Tune by source coverage and audit risk tolerance."
      - name: min_capacity_live_overlap_fraction
        value: 0.50
        unit: fraction
        evidence_status: calibration_default
        source_refs: [S18, S23, S26, S28, S29, S35]
        rationale: "At least half-window overlap prevents stale capacity facts from classifying a live segment."
        counterevidence_or_failure_modes:
          - "short but important capacity changes can be diluted by this default"
        calibration_note: "Replace with source-specific validity interval logic."

  - id: large_compute_candidate_routing
    purpose: large_compute_candidate_aggregation
    stage: B_training_candidate_detection
    consumes:
      rule_output_categories:
        any:
          - large_compute_scale
          - accelerator_activity_run_existence
          - capacity_policy_scale
      derived_signals:
        - rule_output_join_window
        - aggregation_candidate_seed_window
        - achieved_operation_integral
        - capacity_upper_bound_flop
        - telemetry_coverage_fraction
    time_alignment:
      segmentation: aggregation_candidate_seed_window
      scope_match: same_monitored_scope_or_mapped_child_scope
      minimum_overlap_fraction:
        value_ref: min_large_compute_capacity_overlap_fraction
      missing_data_behavior: large_compute_training_identity_unresolved
      allowed_adjacency_seconds:
        value_ref: max_achieved_ops_capacity_adjacency_seconds
    trigger:
      type: large_compute_scale_logic
      conditions:
        all:
          - metric: achieved_operation_integral.operation_count
            op: ">="
            value_ref: policy_threshold_operations
          - metric: achieved_operation_integral.coverage_fraction
            op: ">="
            value_ref: min_large_compute_coverage_fraction
        any:
          - category: large_compute_scale
          - category: accelerator_activity_run_existence
    emitted_claim:
      label: large_compute_candidate
      alternate_outputs:
        - large_compute_capacity_conflict
        - large_compute_training_identity_unresolved
      warning_height: none
      max_confidence: medium
      statement: "Achieved or inferred operations reach policy scale, but workload identity remains unresolved until joined with independent training-like evidence."
    demotion_policy:
      capacity_conflict: "If achieved_operation_integral exceeds capacity_upper_bound_flop by the configured ratio, emit large_compute_capacity_conflict and route to C."
      no_identity_evidence: "If no fabric/checkpoint/non-serving identity-shape category aligns, emit large_compute_training_identity_unresolved."
    missing_data_behavior: "If operation units, counter resets, or achieved-counter coverage are unresolved, route to C and suppress training-like promotion."
    cannot_conclude:
      - training
      - distributed_training
      - checkpoint_training
    calibration_defaults:
      - name: policy_threshold_operations
        value: 1.0e+25
        unit: operations
        evidence_status: source_backed
        source_refs: [S01, S03]
        rationale: "Large-compute policy threshold."
        counterevidence_or_failure_modes:
          - "large compute may be inference, HPC, synthetic-data generation, benchmarks, or burn-in"
        calibration_note: "Replace only if governing policy threshold changes."
      - name: min_large_compute_coverage_fraction
        value: 0.75
        unit: fraction
        evidence_status: source_informed
        source_refs: [S07, S08, S36, S37, S38, S39]
        rationale: "Operation integrals require substantial achieved-counter or calibrated proxy coverage."
        counterevidence_or_failure_modes:
          - "counter gaps, unit mismatch, or proxy calibration can distort operation counts"
        calibration_note: "Replace with counter-source reliability and unit-normalization tests."
      - name: min_large_compute_capacity_overlap_fraction
        value: 0.70
        unit: fraction
        evidence_status: calibration_default
        source_refs: [S07, S08, S09, S23, S24, S26, S35]
        rationale: "Achieved operations and capacity must mostly describe the same scope/window before conflict or feasibility routing."
        counterevidence_or_failure_modes:
          - "billing, running, and achieved-counter windows can lag or differ in scope"
        calibration_note: "Tune by provider/accounting and counter aggregation behavior."
      - name: max_achieved_ops_capacity_adjacency_seconds
        value: 600
        unit: seconds
        evidence_status: calibration_default
        source_refs: [S18, S23, S26, S28, S35]
        rationale: "Allows short accounting, aggregation, and clock-boundary mismatches without merging unrelated windows."
        counterevidence_or_failure_modes:
          - "provider logs can be delayed by more than this; long jobs split at hour boundaries may need source-specific handling"
        calibration_note: "Replace with measured source delivery and boundary behavior."

  - id: distributed_training_like_candidate_promotion
    purpose: training_candidate_promotion
    stage: B_training_candidate_detection
    consumes:
      required_capacity_outputs:
        any:
          - capacity_possible_for_scope
          - capacity_limited_but_not_ruled_out
          - capacity_unknown_due_to_missing_inputs
      rule_output_categories:
        all:
          - accelerator_activity_run_existence
          - fabric_parameter_update_like
        optional:
          - non_serving_workload_shape
          - topology_context_support
          - physical_activity_support
      derived_signals:
        - rule_output_join_window
        - aggregation_candidate_seed_window
        - warning_height_score
        - suppression_resolution_state
        - telemetry_coverage_fraction
        - clock_aligned_overlap_window
    time_alignment:
      segmentation: aggregation_candidate_seed_window
      scope_match: same_monitored_scope_or_mapped_child_scope
      minimum_overlap_fraction:
        value_ref: min_activity_identity_overlap_fraction
      minimum_coverage_fraction:
        value_ref: min_primary_B_channel_coverage_fraction
      missing_data_behavior: "candidate_requires_manual_review if suppressor or primary coverage is below threshold."
      allowed_adjacency_seconds:
        value_ref: max_fabric_activity_adjacency_seconds
    trigger:
      type: independent_category_promotion_logic
      conditions:
        all:
          - capacity_output:
              any:
                - capacity_possible_for_scope
                - capacity_limited_but_not_ruled_out
                - capacity_unknown_due_to_missing_inputs
          - category: accelerator_activity_run_existence
          - category: fabric_parameter_update_like
          - metric: rule_output_join_window.overlap_fraction
            op: ">="
            value_ref: min_activity_identity_overlap_fraction
          - metric: telemetry_coverage_fraction.primary_channel_min
            op: ">="
            value_ref: min_primary_B_channel_coverage_fraction
        none:
          - label: capacity_ruled_out_for_scope
          - suppression_state: strong_unresolved_suppressor
    emitted_claim:
      label: distributed_training_like_candidate
      warning_height_by_score:
        weak_training_like_candidate: "activity plus fabric identity shape align, but support or suppressor review is incomplete."
        medium_training_like_warning: "activity plus fabric identity shape align with checked suppressors and at least one support or non-serving category."
        high_training_like_warning: "activity plus fabric identity shape align with a second independent identity/support category, checked suppressors, high coverage, and no unresolved discrepancy."
      max_confidence: medium
      statement: "Aligned accelerator activity and collective-like fabric behavior form a distributed training-like candidate; final warning height depends on suppressor and discrepancy review."
    suppression_policy:
      checked_suppressors:
        - serving_counterevidence
        - benchmark_hpc_alternative
        - storage_operation_explanation
        - topology_route_conflict
      missing_suppressor_behavior: "Cap at weak_training_like_candidate and emit inconclusive_due_to_missingness."
      strong_suppressor_behavior: "Emit candidate_demoted_by_unresolved_suppressor or candidate_benchmark_like."
    missing_data_behavior: "Missing fabric/activity coverage, clock alignment, or suppressor state prevents medium/high warning."
    cannot_conclude:
      - high_training_like_warning_from_activity_alone
      - high_training_like_warning_from_fabric_alone
      - final_training_claim_without_C_when_suppressors_present
    calibration_defaults:
      - name: min_activity_identity_overlap_fraction
        value: 0.60
        unit: fraction
        evidence_status: calibration_default
        source_refs: [S11, S12, S13, S14, S16, S17, S28, S29]
        rationale: "Compute and fabric phases should substantially overlap for distributed training-like promotion, while allowing aggregation and phase lag."
        counterevidence_or_failure_modes:
          - "asynchronous prefetch, gradient accumulation, coarse flow logs, HPC, and distributed inference can change overlap shape"
        calibration_note: "Calibrate with local step traces, flow-log intervals, and known non-training workloads."
      - name: min_primary_B_channel_coverage_fraction
        value: 0.75
        unit: fraction
        evidence_status: source_informed
        source_refs: [S07, S08, S28, S29, S36, S37, S38, S39, S42, S43]
        rationale: "B candidate promotion needs substantial coverage of activity and identity-shape channels."
        counterevidence_or_failure_modes:
          - "sampled flow logs or missing device counters can overstate or understate alignment"
        calibration_note: "Replace with per-source coverage and sampling guarantees."
      - name: max_fabric_activity_adjacency_seconds
        value: 300
        unit: seconds
        evidence_status: calibration_default
        source_refs: [S11, S12, S13, S14, S28, S29, S42, S43]
        rationale: "Allows coarse fabric aggregation and phase relation without joining unrelated runs."
        counterevidence_or_failure_modes:
          - "long checkpoint or communication phases may sit outside this default; coarse logs may require wider windows"
        calibration_note: "Tune by fabric telemetry aggregation interval and clock drift."

  - id: checkpoint_training_like_candidate_promotion
    purpose: training_candidate_promotion
    stage: B_training_candidate_detection
    consumes:
      required_capacity_outputs:
        any:
          - capacity_possible_for_scope
          - capacity_limited_but_not_ruled_out
          - capacity_unknown_due_to_missing_inputs
      rule_output_categories:
        all:
          - accelerator_activity_run_existence
          - storage_checkpoint_state_like
        optional:
          - data_lifecycle_support
          - lifecycle_operational_context
          - physical_activity_support
      derived_signals:
        - aggregation_candidate_seed_window
        - rule_output_join_window
        - warning_height_score
        - suppression_resolution_state
        - checkpoint_periodicity_score
        - telemetry_coverage_fraction
    time_alignment:
      segmentation: aggregation_candidate_seed_window
      scope_match: same_monitored_scope_or_mapped_child_scope
      minimum_adjacency_fraction:
        value_ref: min_checkpoint_activity_adjacency_fraction
      allowed_adjacency_seconds:
        value_ref: max_checkpoint_activity_adjacency_seconds
      minimum_coverage_fraction:
        value_ref: min_primary_B_channel_coverage_fraction
      missing_data_behavior: "candidate_requires_manual_review if storage-operation explanations are unavailable."
    trigger:
      type: adjacent_identity_promotion_logic
      conditions:
        all:
          - capacity_output:
              any:
                - capacity_possible_for_scope
                - capacity_limited_but_not_ruled_out
                - capacity_unknown_due_to_missing_inputs
          - category: accelerator_activity_run_existence
          - category: storage_checkpoint_state_like
          - metric: rule_output_join_window.adjacency_or_overlap_fraction
            op: ">="
            value_ref: min_checkpoint_activity_adjacency_fraction
          - metric: telemetry_coverage_fraction.primary_channel_min
            op: ">="
            value_ref: min_primary_B_channel_coverage_fraction
        none:
          - label: capacity_ruled_out_for_scope
    emitted_claim:
      label: checkpoint_training_like_candidate
      warning_height_by_score:
        weak_training_like_candidate: "activity and checkpoint-like storage are adjacent or overlapping, but explanation review is incomplete."
        medium_training_like_warning: "activity and repeated checkpoint-like storage align with checked storage-operation explanations."
        high_training_like_warning: "checkpoint-like storage aligns with activity plus another independent identity channel, checked suppressors, high coverage, and no unresolved discrepancy."
      max_confidence: medium
      statement: "Aligned accelerator activity and checkpoint-like state writes form a training-like checkpoint candidate; storage-operation explanations must be adjudicated before promotion."
    suppression_policy:
      checked_suppressors:
        - storage_operation_explanation
        - storage_activity_conflict
        - serving_counterevidence
        - lifecycle_operational_context
      missing_suppressor_behavior: "Emit inconclusive_due_to_missingness and cap at weak_training_like_candidate."
      strong_suppressor_behavior: "Emit candidate_explained_by_storage_operation."
    missing_data_behavior: "Missing storage-operation channels block medium/high warning rather than clearing storage explanations."
    demotion_policy:
      storage_operation_explanation_present: "Do not block candidate emission in B; attach the explanation to suppression_resolution_state and route to C for demotion or explanation."
    cannot_conclude:
      - high_training_like_warning_from_storage_writes_alone
      - final_training_claim_without_storage_explanation_review
    calibration_defaults:
      - name: min_checkpoint_activity_adjacency_fraction
        value: 0.50
        unit: fraction
        evidence_status: calibration_default
        source_refs: [S45, S46, S47]
        rationale: "Checkpoint writes can lag or trail compute, so adjacency can be weaker than same-second overlap."
        counterevidence_or_failure_modes:
          - "backup, restore, replication, ETL, and synthetic-data output can look checkpoint-like"
        calibration_note: "Calibrate against local checkpoint cadence and storage-operation logs."
      - name: max_checkpoint_activity_adjacency_seconds
        value: 1800
        unit: seconds
        evidence_status: calibration_default
        source_refs: [S31, S32, S33, S45, S46, S47]
        rationale: "Allows delayed checkpoint flushes and object/filesystem logging lag without joining unrelated storage jobs by default."
        counterevidence_or_failure_modes:
          - "large asynchronous checkpoint systems may flush longer; cloud storage logs can be delayed or best-effort"
        calibration_note: "Replace with framework, storage system, and log-delivery measurements."
      - name: min_primary_B_channel_coverage_fraction
        value: 0.75
        unit: fraction
        evidence_status: source_informed
        source_refs: [S07, S08, S31, S32, S33, S36, S37, S38, S39]
        rationale: "B candidate promotion needs substantial activity and storage-channel coverage."
        counterevidence_or_failure_modes:
          - "object logs and filesystem metrics may be delayed, sampled, or not enabled"
        calibration_note: "Replace with source-specific coverage guarantees."

  - id: sparse_large_compute_training_like_candidate_promotion
    purpose: training_candidate_promotion
    stage: B_training_candidate_detection
    consumes:
      required_prior_outputs:
        all:
          - large_compute_candidate
        any:
          - distributed_training_like_candidate
          - checkpoint_training_like_candidate
      rule_output_categories:
        any:
          - fabric_parameter_update_like
          - storage_checkpoint_state_like
          - non_serving_workload_shape
      derived_signals:
        - aggregation_candidate_seed_window
        - warning_height_score
        - suppression_resolution_state
        - achieved_operation_integral
    time_alignment:
      segmentation: aggregation_candidate_seed_window
      scope_match: same_monitored_scope_or_mapped_child_scope
      minimum_overlap_fraction:
        value_ref: min_large_compute_identity_overlap_fraction
      missing_data_behavior: large_compute_training_identity_unresolved
      short_circuit_behavior: "Do not run this rule in capacity_ruled_out_for_scope segments."
    trigger:
      type: large_compute_plus_identity_logic
      conditions:
        all:
          - label: large_compute_candidate
          - metric: achieved_operation_integral.operation_count
            op: ">="
            value_ref: policy_threshold_operations
          - metric: suppression_resolution_state.strong_unresolved_suppressor_count
            op: "=="
            value: 0
        any:
          - label: distributed_training_like_candidate
          - label: checkpoint_training_like_candidate
    emitted_claim:
      label: sparse_large_compute_training_like_candidate
      warning_height_by_score:
        medium_training_like_warning: "large compute plus one independent training-like identity channel with checked suppressors."
        high_training_like_warning: "large compute plus two independent aligned identity/support channels, high coverage, checked suppressors, and no unresolved C conflict."
      max_confidence: medium
      statement: "Policy-scale compute plus independent training-like identity evidence forms a sparse large-compute training-like candidate."
    suppression_policy:
      checked_suppressors:
        - serving_counterevidence
        - storage_operation_explanation
        - benchmark_hpc_alternative
        - activity_attribution_conflict
        - capacity_claim_conflict
      missing_suppressor_behavior: "Emit large_compute_training_identity_unresolved or inconclusive_due_to_missingness."
    missing_data_behavior: "Large compute without identity or suppressor resolution remains unresolved."
    cannot_conclude:
      - training_from_large_compute_alone
      - high_warning_with_unresolved_strong_suppressor
    calibration_defaults:
      - name: policy_threshold_operations
        value: 1.0e+25
        unit: operations
        evidence_status: source_backed
        source_refs: [S01, S03]
        rationale: "Large-compute policy threshold."
        counterevidence_or_failure_modes:
          - "threshold crossing is not workload identity"
        calibration_note: "Replace only if governing policy threshold changes."
      - name: min_large_compute_identity_overlap_fraction
        value: 0.50
        unit: fraction
        evidence_status: calibration_default
        source_refs: [S11, S12, S13, S14, S16, S17, S45, S46, S47]
        rationale: "Large achieved-operation windows can be broader than identity-shape windows, so half-window overlap is enough for candidate routing."
        counterevidence_or_failure_modes:
          - "short identity bursts can over-promote broad compute windows; storage and benchmark alternatives remain important"
        calibration_note: "Tune by job-level known workload traces."

  - id: support_context_aggregation
    purpose: support_context_aggregation
    stage: B_training_candidate_detection
    consumes:
      required_prior_outputs:
        any:
          - distributed_training_like_candidate
          - checkpoint_training_like_candidate
          - sparse_large_compute_training_like_candidate
      rule_output_categories:
        any:
          - physical_activity_support
          - large_model_context_support
          - data_lifecycle_support
          - topology_context_support
          - lifecycle_operational_context
      derived_signals:
        - aggregation_candidate_review_window
        - rule_output_join_window
        - warning_height_score
    time_alignment:
      segmentation: aggregation_candidate_review_window
      scope_match: same_monitored_scope_or_mapped_child_scope
      minimum_overlap_fraction:
        value_ref: min_support_candidate_overlap_fraction
      allowed_adjacency_seconds:
        value_ref: max_support_candidate_adjacency_seconds
      missing_data_behavior: "Support absence does not demote by itself; missing expected support coverage is reported."
    aggregation_logic:
      outputs:
        - label: candidate_context_strengthened
          when: "A core B candidate already exists and support overlaps or is adjacent within the configured window."
        - label: candidate_context_weak_only
          when: "Only weak support categories exist beside a candidate, without a second identity-shape category."
        - label: support_present_but_no_training_identity
          when: "Support categories exist without accelerator activity plus fabric/checkpoint identity evidence."
    emitted_claim:
      label: candidate_context_strengthened
      alternate_outputs:
        - candidate_context_weak_only
        - support_present_but_no_training_identity
      warning_height_effect: "May raise review priority or contribute to moving weak to medium only when core B evidence is already present and suppressors are checked; this changes routing warning height, not this support rule's standalone evidentiary confidence."
      max_confidence: weak
      statement: "Support context can strengthen or route a live candidate but is not primary workload identity evidence."
    missing_data_behavior: "Missing support is recorded but does not clear or prove training."
    cannot_conclude:
      - training_from_support_only
      - warning_height_from_power_only
      - warning_height_from_memory_only
      - warning_height_from_topology_only
    calibration_defaults:
      - name: min_support_candidate_overlap_fraction
        value: 0.40
        unit: fraction
        evidence_status: calibration_default
        source_refs: [S07, S08, S09, S31, S32, S33, S40, S41]
        rationale: "Support signals such as power, cooling, staging, and lifecycle events may lag or precede core activity."
        counterevidence_or_failure_modes:
          - "support windows can reflect unrelated physical load, data movement, or maintenance"
        calibration_note: "Calibrate by support-source lag and local workload traces."
      - name: max_support_candidate_adjacency_seconds
        value: 1800
        unit: seconds
        evidence_status: calibration_default
        source_refs: [S31, S32, S33, S40, S41]
        rationale: "Allows thermal/cooling and storage lifecycle lag while keeping support local to the candidate."
        counterevidence_or_failure_modes:
          - "facility cooling response and storage staging can have longer lags in some sites"
        calibration_note: "Replace with site thermal, storage, and lifecycle timing distributions."

  - id: suppressor_and_explanation_aggregation
    purpose: suppressor_and_explanation_aggregation
    stage: C_discrepancy_and_explanation_review
    consumes:
      required_prior_outputs:
        any:
          - distributed_training_like_candidate
          - checkpoint_training_like_candidate
          - sparse_large_compute_training_like_candidate
      rule_output_categories:
        any:
          - serving_counterevidence
          - storage_operation_explanation
          - benchmark_hpc_alternative
          - storage_activity_conflict
          - topology_route_conflict
          - suppressors_alternative_explanations
      derived_signals:
        - aggregation_candidate_review_window
        - suppression_resolution_state
        - rule_output_join_window
        - telemetry_coverage_fraction
    time_alignment:
      segmentation: aggregation_candidate_review_window
      scope_match: same_monitored_scope_or_mapped_child_scope
      minimum_overlap_fraction:
        value_ref: min_suppressor_candidate_overlap_fraction
      allowed_adjacency_seconds:
        value_ref: max_suppressor_candidate_adjacency_seconds
      missing_data_behavior: candidate_requires_manual_review
      short_circuit_behavior: "Do not run after capacity_ruled_out_for_scope unless reviewing a separate out-of-scope or integrity claim."
    aggregation_logic:
      demotion_outputs:
        - candidate_explained_by_serving
        - candidate_explained_by_storage_operation
        - candidate_benchmark_like
        - candidate_hpc_mpi_alternative
        - candidate_demoted_by_unresolved_suppressor
      missingness_output: inconclusive_due_to_missingness
      rules:
        - "Serving counterevidence overlapping accelerator activity demotes non-serving and fabric/checkpoint candidates."
        - "Storage operation explanations overlapping checkpoint-like or fabric/storage activity explain those candidates unless independent fabric and non-serving identity remains."
        - "Benchmark/HPC alternatives demote fabric-heavy candidates before high warning."
        - "Missing expected suppressor channels cap warning height at weak and require manual review."
    emitted_claim:
      label: candidate_demoted_by_unresolved_suppressor
      possible_outputs:
        - candidate_explained_by_serving
        - candidate_explained_by_storage_operation
        - candidate_benchmark_like
        - candidate_hpc_mpi_alternative
        - inconclusive_due_to_missingness
      warning_height_effect: "Demote or block medium/high promotion until explanation is resolved."
      max_confidence: not_applicable
      statement: "Suppressors and benign explanations are adjudicated before final warning-height promotion."
    missing_data_behavior: "Expected but missing suppressor channels emit inconclusive_due_to_missingness, not cleared suppressors."
    cannot_conclude:
      - cleared_suppressors_from_missing_channels
      - high_training_like_warning_with_unresolved_suppressor
    calibration_defaults:
      - name: min_suppressor_candidate_overlap_fraction
        value: 0.50
        unit: fraction
        evidence_status: calibration_default
        source_refs: [S28, S29, S31, S32, S33, S45, S46, S47]
        rationale: "An explanation should overlap a material portion of the candidate window before demoting it."
        counterevidence_or_failure_modes:
          - "broad maintenance or backup windows can over-explain unrelated activity"
        calibration_note: "Tune by operation-log precision and workload-specific explanation coverage."
      - name: max_suppressor_candidate_adjacency_seconds
        value: 1800
        unit: seconds
        evidence_status: calibration_default
        source_refs: [S28, S31, S32, S33]
        rationale: "Allows best-effort network/storage log delivery and adjacent storage operations without joining distant events."
        counterevidence_or_failure_modes:
          - "cloud logs can be delayed longer; high-throughput storage operations can span broader windows"
        calibration_note: "Replace with source delivery delay and operation-duration distributions."

  - id: discrepancy_targeted_escalation
    purpose: discrepancy_escalation_aggregation
    stage: C_discrepancy_and_explanation_review
    consumes:
      required_prior_outputs:
        any:
          - distributed_training_like_candidate
          - checkpoint_training_like_candidate
          - sparse_large_compute_training_like_candidate
          - large_compute_capacity_conflict
          - large_compute_training_identity_unresolved
          - candidate_requires_manual_review
      rule_output_categories:
        any:
          - activity_attribution_conflict
          - capacity_claim_conflict
          - physical_timeline_conflict
          - power_activity_conflict
          - fabric_mapping_conflict
          - storage_activity_conflict
          - telemetry_missingness_conflict
          - health_throttle_conflict
          - topology_route_conflict
      derived_signals:
        - aggregation_candidate_review_window
        - capacity_segment_window
        - rule_output_join_window
        - telemetry_coverage_fraction
        - suppression_resolution_state
    time_alignment:
      segmentation: aggregation_candidate_review_window
      scope_match: same_monitored_scope_or_mapped_child_scope
      minimum_overlap_fraction:
        value_ref: min_discrepancy_candidate_overlap_fraction
      missing_data_behavior: inconclusive_due_to_missingness
      short_circuit_behavior: "Do not run globally after capacity_ruled_out_for_scope; run only for live candidates, capacity conflicts, or decision-blocking missingness."
    trigger:
      type: targeted_C_routing_logic
      conditions:
        any:
          - label: distributed_training_like_candidate
          - label: checkpoint_training_like_candidate
          - label: sparse_large_compute_training_like_candidate
          - label: large_compute_capacity_conflict
          - label: candidate_requires_manual_review
          - category: telemetry_missingness_conflict
          - category: capacity_claim_conflict
    emitted_claim:
      label: integrity_review_required
      possible_outputs:
        - activity_attribution_conflict
        - capacity_claim_conflict
        - inconclusive_due_to_missingness
        - candidate_requires_manual_review
      warning_height_effect: "Unresolved high/critical C findings block high warning and route to manual review."
      max_confidence: high
      statement: "Targeted C findings are escalated only when they adjudicate a live candidate, capacity conflict, or missingness that blocks a decision."
    missing_data_behavior: "Decision-blocking gaps emit inconclusive_due_to_missingness."
    cannot_conclude:
      - global_C_required_after_capacity_ruleout
      - high_warning_with_unresolved_capacity_conflict
    calibration_defaults:
      - name: min_discrepancy_candidate_overlap_fraction
        value: 0.50
        unit: fraction
        evidence_status: calibration_default
        source_refs: [S18, S21, S22, S23, S26, S28, S29, S31, S35]
        rationale: "A discrepancy should affect a material part of the candidate or capacity-conflict window before blocking final routing."
        counterevidence_or_failure_modes:
          - "short severe conflicts may still matter; long audit windows can dilute brief manipulation or outages"
        calibration_note: "Tune by severity, source precision, and audit policy."

  - id: no_training_candidate_coverage_gate
    purpose: negative_screen_integrity
    stage: C_discrepancy_and_explanation_review
    consumes:
      required_capacity_outputs:
        any:
          - capacity_possible_for_scope
          - capacity_limited_but_not_ruled_out
          - capacity_unknown_due_to_missing_inputs
      excluded_prior_outputs:
        any:
          - distributed_training_like_candidate
          - checkpoint_training_like_candidate
          - sparse_large_compute_training_like_candidate
          - large_compute_candidate
      rule_output_categories:
        optional:
          - telemetry_missingness_conflict
          - activity_attribution_conflict
          - fabric_mapping_conflict
      derived_signals:
        - capacity_segment_window
        - aggregation_candidate_seed_window
        - negative_screen_required_coverage_state
        - telemetry_coverage_fraction
        - clock_aligned_overlap_window
    time_alignment:
      segmentation: capacity_segment_window
      scope_match: same_monitored_scope_or_mapped_child_scope
      minimum_primary_coverage_fraction:
        value_ref: min_negative_screen_primary_coverage_fraction
      clock_alignment_confidence:
        value_ref: min_negative_screen_clock_alignment_confidence
      missing_data_behavior: inconclusive_due_to_missingness
      short_circuit_behavior: "Do not run after capacity_ruled_out_for_scope; this is only for live capacity segments where B found no candidate."
      global_C_policy: "Run coverage, scope, clock, and missingness checks needed to trust the negative screen; do not run unrelated suppressor or discrepancy checks globally."
    trigger:
      type: negative_screen_integrity_logic
      conditions:
        all:
          - capacity_output:
              any:
                - capacity_possible_for_scope
                - capacity_limited_but_not_ruled_out
                - capacity_unknown_due_to_missing_inputs
          - metric: negative_screen_required_coverage_state.primary_activity_coverage_fraction
            op: ">="
            value_ref: min_negative_screen_primary_coverage_fraction
          - metric: negative_screen_required_coverage_state.identity_shape_coverage_fraction
            op: ">="
            value_ref: min_negative_screen_identity_coverage_fraction
          - metric: negative_screen_required_coverage_state.scope_mapping_coverage_fraction
            op: ">="
            value_ref: min_negative_screen_scope_mapping_coverage_fraction
          - metric: negative_screen_required_coverage_state.clock_alignment_confidence
            op: ">="
            value_ref: min_negative_screen_clock_alignment_confidence
        none:
          - label: distributed_training_like_candidate
          - label: checkpoint_training_like_candidate
          - label: sparse_large_compute_training_like_candidate
          - label: large_compute_candidate
          - metric: negative_screen_required_coverage_state.decision_blocking_missingness
            op: "=="
            value: true
    emitted_claim:
      label: negative_screen_coverage_sufficient
      alternate_outputs:
        - negative_screen_blocked_by_missingness
        - inconclusive_due_to_missingness
        - integrity_review_required
      warning_height: none
      max_confidence: conservative_bound
      statement: "No B candidate was detected in a live segment and the required primary, identity-shape, scope-mapping, and clock-alignment coverage is sufficient to treat the absence of evidence as a covered negative screen."
    missing_data_behavior: "If required negative-screen channels are missing, emit negative_screen_blocked_by_missingness or inconclusive_due_to_missingness instead of a clean negative screen."
    cannot_conclude:
      - no_training_outside_monitored_scope
      - no_training_from_uncovered_channels
      - no_training_from_missing_activity_telemetry
      - global_C_clearance
    calibration_defaults:
      - name: min_negative_screen_primary_coverage_fraction
        value: 0.75
        unit: fraction
        evidence_status: calibration_default
        source_refs: [S07, S08, S36, S37, S38, S39]
        rationale: "Reuses existing positive-candidate coverage defaults; no-candidate routing is trustworthy only when primary activity channels substantially cover the live segment."
        counterevidence_or_failure_modes:
          - "collector outages, disabled profiling counters, or unmapped devices can create false negative screens"
        calibration_note: "Replace with source-specific accelerator telemetry coverage requirements."
      - name: min_negative_screen_identity_coverage_fraction
        value: 0.75
        unit: fraction
        evidence_status: calibration_default
        source_refs: [S28, S29, S31, S32, S33, S42, S43, S45, S46, S47]
        rationale: "Fabric/checkpoint identity channels must be substantially covered before their absence is meaningful."
        counterevidence_or_failure_modes:
          - "sampled flow logs, disabled object logs, or unmapped fabric ports can hide identity-shape evidence"
        calibration_note: "Replace with source-specific fabric and storage logging coverage."
      - name: min_negative_screen_scope_mapping_coverage_fraction
        value: 0.75
        unit: fraction
        evidence_status: calibration_default
        source_refs: [S18, S19, S20, S23, S26, S35]
        rationale: "A negative screen must map telemetry to the monitored scope well enough to know which assets were covered."
        counterevidence_or_failure_modes:
          - "scheduler, billing, or provider scope mismatch can make active assets invisible to the monitored scope"
        calibration_note: "Replace with site-specific scheduler, provider, and asset-mapping coverage."
      - name: min_negative_screen_clock_alignment_confidence
        value: 0.80
        unit: score_0_to_1
        evidence_status: calibration_default
        source_refs: [S18, S21, S22, S27, S28, S29, S31, S35]
        rationale: "Negative screens need aligned source windows so absent activity is not an artifact of clock drift or delayed records."
        counterevidence_or_failure_modes:
          - "coarse aggregation, clock drift, or delayed logs can move evidence outside the checked window"
        calibration_note: "Replace with measured timestamp accuracy and delivery-delay bounds."

  - id: final_algorithm_claim_routing
    purpose: final_claim_routing
    stage: final_claim_routing
    consumes:
      required_prior_outputs:
        any:
          - capacity_ruled_out_for_scope
          - capacity_possible_for_scope
          - capacity_limited_but_not_ruled_out
          - capacity_unknown_due_to_missing_inputs
          - distributed_training_like_candidate
          - checkpoint_training_like_candidate
          - sparse_large_compute_training_like_candidate
          - candidate_explained_by_serving
          - candidate_explained_by_storage_operation
          - candidate_benchmark_like
          - candidate_hpc_mpi_alternative
          - negative_screen_coverage_sufficient
          - negative_screen_blocked_by_missingness
          - integrity_review_required
          - inconclusive_due_to_missingness
      derived_signals:
        - capacity_segment_window
        - aggregation_candidate_final_window
        - negative_screen_required_coverage_state
        - warning_height_score
        - suppression_resolution_state
    time_alignment:
      segmentation: capacity_segment_window
      scope_match: same_monitored_scope_or_mapped_child_scope
      minimum_output_window_coverage_fraction:
        value_ref: min_final_routing_window_coverage_fraction
      missing_data_behavior: inconclusive_due_to_missingness
      short_circuit_behavior: "If capacity_ruled_out_for_scope was emitted for the segment, final route is rule-out and B/C outputs are absent for that segment."
    aggregation_logic:
      final_routes:
        - final_claim: capacity_ruled_out_for_scope
          when: "A_capacity_gate emitted a conservative high-coverage rule-out."
        - final_claim: high_training_like_warning
          when: "At least two independent aligned B identity/support categories are present, warning_height_score.high is true, suppressors are checked, and no unresolved high/critical C conflict exists."
        - final_claim: medium_training_like_warning
          when: "One core identity-shape pathway aligns with activity and capacity remains live, suppressors are checked or weakly unresolved, and C has no blocking conflict."
        - final_claim: weak_training_like_candidate
          when: "A sparse B candidate exists but support, suppressor, coverage, or C review is incomplete."
        - final_claim: candidate_explained_or_demoted
          when: "Suppressor/explanation aggregation explains or demotes the candidate."
        - final_claim: no_training_like_candidate_detected_in_covered_live_segment
          when: "Capacity remains live, no B candidate labels exist, negative_screen_coverage_sufficient was emitted, and no decision-blocking missingness exists."
        - final_claim: inconclusive_due_to_missingness
          when: "Missing data blocks capacity, identity, suppressor, or discrepancy adjudication."
    emitted_claim:
      label: final_algorithm_facing_claim
      final_claim_labels:
        - capacity_ruled_out_for_scope
        - weak_training_like_candidate
        - medium_training_like_warning
        - high_training_like_warning
        - candidate_explained_or_demoted
        - no_training_like_candidate_detected_in_covered_live_segment
        - inconclusive_due_to_missingness
      max_confidence: high
      statement: "Final route for each monitored scope/window segment, with warning height, caveats, suppressor state, and missingness."
    missing_data_behavior: "Missingness is surfaced as caveat or final inconclusive route; never as negative evidence."
    cannot_conclude:
      - binary_training_truth
      - no_training_from_missing_B
      - cleared_C_from_absent_C
    calibration_defaults:
      - name: min_final_routing_window_coverage_fraction
        value: 0.75
        unit: fraction
        evidence_status: calibration_default
        source_refs: [S07, S08, S09, S18, S23, S26, S28, S29, S31, S35, S40, S41]
        rationale: "Final routing should cover most of the candidate segment, with lower confidence or inconclusive output below this value."
        counterevidence_or_failure_modes:
          - "short high-confidence subwindows can be obscured by broad audit windows"
        calibration_note: "Report subwindow-level final routes and tune by source coverage."