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

purpose: >
  Sparse discrepancy, integrity, and evasion screens for one-, two-, and
  three-feature settings. These rules express narrow contradictions,
  missingness warnings, and benign explanations that feed targeted aggregation
  review.

scope_policy:
  trusted_local_inputs: "Only raw feature IDs from observables/observables.yaml are used as inputs."
  relationship_to_aggregation_rules: >
    This file emits sparse conflict and missingness statements for targeted C
    review in `aggregation_rules.yaml`.
  missingness_policy: >
    Missing telemetry is an output condition, not evidence of absence. Sparse
    discrepancy rules must report which channel was missing or only partially
    covered.

severity_scale: [info, low, medium, high, critical]

discrepancy_categories:
  - id: activity_attribution_conflict
    name: Activity attribution conflicts
    algorithm_treatment: "Escalate high accelerator activity with absent or sparse allocation, running, container, or billing attribution."
    rule_ids:
      - activity_without_allocation_or_usage_conflict
  - id: capacity_claim_conflict
    name: Capacity claim conflicts
    algorithm_treatment: "Compare achieved/claimed/running usage against sparse peak, quota, reservation, or availability limits."
    rule_ids:
      - achieved_ops_above_peak_capacity_conflict
      - usage_above_quota_or_reservation_conflict
  - id: physical_timeline_conflict
    name: Physical timeline conflicts
    algorithm_treatment: "Flag activity or usage before installation, energized service, or utility readiness."
    rule_ids:
      - activity_before_installation_or_service_conflict
  - id: power_activity_conflict
    name: Power and activity conflicts
    algorithm_treatment: "Compare physical load with accelerator activity and activity coverage."
    rule_ids:
      - high_power_low_or_missing_activity_conflict
  - id: fabric_mapping_conflict
    name: Fabric mapping conflicts
    algorithm_treatment: "Route high fabric activity with missing job/container/topology mapping to attribution review."
    rule_ids:
      - fabric_without_job_or_topology_mapping_conflict
  - id: storage_activity_conflict
    name: Storage activity conflicts and explanations
    algorithm_treatment: "Check checkpoint-like writes against accelerator activity and explicit storage operations."
    rule_ids:
      - checkpoint_writes_without_activity_conflict
      - fabric_or_storage_activity_explained_by_storage_operation
  - id: telemetry_missingness_conflict
    name: Candidate-window telemetry gaps
    algorithm_treatment: "Emit missingness warnings during candidate, high-activity, or high-power windows."
    rule_ids:
      - telemetry_gap_during_sparse_candidate_window
  - id: health_throttle_conflict
    name: Health, throttle, and limit conflicts
    algorithm_treatment: "Check high activity or claims against degraded, throttled, power-limited, or thermally limited states."
    rule_ids:
      - high_activity_during_degraded_or_throttled_state_conflict
  - id: topology_route_conflict
    name: Topology and route conflicts
    algorithm_treatment: "Treat route, NAT, gateway, and topology changes as interpretation-changing events during candidate windows."
    rule_ids:
      - route_or_topology_change_during_sparse_candidate

rule_category_membership:
  membership_policy: >
    Categories are evidentiary roles. Each sparse discrepancy rule has exactly
    one primary category for severity routing and may list additional
    categories for explanation or missingness handling.
  rules:
    - rule_id: activity_without_allocation_or_usage_conflict
      primary_category: activity_attribution_conflict
      additional_categories: [telemetry_missingness_conflict]
    - rule_id: achieved_ops_above_peak_capacity_conflict
      primary_category: capacity_claim_conflict
      additional_categories: []
    - rule_id: usage_above_quota_or_reservation_conflict
      primary_category: capacity_claim_conflict
      additional_categories: []
    - rule_id: activity_before_installation_or_service_conflict
      primary_category: physical_timeline_conflict
      additional_categories: [capacity_claim_conflict]
    - rule_id: high_power_low_or_missing_activity_conflict
      primary_category: power_activity_conflict
      additional_categories: [telemetry_missingness_conflict]
    - rule_id: fabric_without_job_or_topology_mapping_conflict
      primary_category: fabric_mapping_conflict
      additional_categories: [activity_attribution_conflict, telemetry_missingness_conflict]
    - rule_id: checkpoint_writes_without_activity_conflict
      primary_category: storage_activity_conflict
      additional_categories: [telemetry_missingness_conflict]
    - rule_id: telemetry_gap_during_sparse_candidate_window
      primary_category: telemetry_missingness_conflict
      additional_categories: []
    - rule_id: route_or_topology_change_during_sparse_candidate
      primary_category: topology_route_conflict
      additional_categories: [fabric_mapping_conflict, telemetry_missingness_conflict]
    - rule_id: fabric_or_storage_activity_explained_by_storage_operation
      primary_category: storage_activity_conflict
      additional_categories: [fabric_mapping_conflict]
    - rule_id: high_activity_during_degraded_or_throttled_state_conflict
      primary_category: health_throttle_conflict
      additional_categories: [capacity_claim_conflict]

discrepancy_rules:
  - id: activity_without_allocation_or_usage_conflict
    purpose: sparse_activity_attribution_conflict
    raw_feature_budget: 2
    required_feature_sets:
      any_one_of:
        - [tensor_matrix_mxu_neuron_or_engine_active_fraction, allocated_accelerator_count_by_sku]
        - [tensor_matrix_mxu_neuron_or_engine_active_fraction, compute_running_intervals]
        - [tensor_matrix_mxu_neuron_or_engine_active_fraction, accelerator_compute_billing_usage_intervals]
        - [generic_achieved_operation_rate, allocated_accelerator_count_by_sku]
        - [generic_achieved_operation_rate, compute_running_intervals]
        - [generic_achieved_operation_rate, accelerator_compute_billing_usage_intervals]
        - [accelerator_busy_or_utilization_fraction, allocated_accelerator_count_by_sku]
        - [accelerator_busy_or_utilization_fraction, compute_running_intervals]
        - [accelerator_busy_or_utilization_fraction, accelerator_compute_billing_usage_intervals]
        - [container_resource_usage_quantity, allocated_accelerator_count_by_sku]
    emitted_statement:
      label: activity_attribution_conflict
      category: activity_attribution_conflict
      max_severity: high
      statement: "Sustained accelerator activity has no overlapping allocation, running, billing, or resource-usage attribution in the covered sparse channel."
    trigger:
      type: two_feature_activity_attribution_logic
      evaluation_window: activity_attribution_overlap_window
      conditions:
        all:
          - metric: sparse_activity_score
            op: ">="
            value_ref: min_unattributed_activity_score
          - metric: activity_duration_seconds
            op: ">="
            value_ref: min_unattributed_activity_duration_seconds
          - metric: attribution_overlap_fraction
            op: "<="
            value_ref: max_attribution_overlap_fraction
          - metric: attribution_channel_coverage_fraction
            op: ">="
            value_ref: min_attribution_channel_coverage_fraction
        none:
          - metric: maintenance_or_system_job_overlap_fraction
            op: ">="
            value_ref: benign_attribution_explanation_overlap_fraction
      missing_data_behavior: "If attribution coverage is below the threshold, emit `attribution_coverage_gap` at severity medium instead of treating absence as proven."
      severity_mapping:
        low: "Activity is moderate and attribution coverage is partial."
        medium: "Activity is high but attribution coverage or scope mapping is incomplete."
        high: "Activity is high for the minimum duration with attribution overlap <= 0.05 and coverage >= 0.80."
      benign_explanation_or_suppressor_fields:
        - maintenance_operation_intervals
        - resource_container_lifecycle_events
        - scheduler_accounting_delay
        - provider_billing_delay
      calibration_defaults:
        - name: min_unattributed_activity_score
          value: 0.70
          unit: score_0_to_1
          evidence_status: calibration_default
          source_refs: [S07, S08, S36, S37, S38, S39]
          rationale: "Attribution conflicts should require clear accelerator activity."
          counterevidence_or_failure_modes:
            - "activity-score normalization errors can inflate activity"
            - "serving, HPC, benchmarks, and burn-in can all trigger activity"
          calibration_note: "Calibrate by accelerator family and activity counter source."
        - name: min_unattributed_activity_duration_seconds
          value: 600
          unit: seconds
          evidence_status: calibration_default
          source_refs: [S18, S19, S20, S21, S22, S23, S26, S35]
          rationale: "Filters short scheduler, lifecycle, or billing races while still catching material unattributed work."
          counterevidence_or_failure_modes:
            - "short unauthorized jobs can still matter"
          calibration_note: "Replace with scheduler/provider accounting delay distributions."
        - name: max_attribution_overlap_fraction
          value: 0.05
          unit: fraction
          evidence_status: calibration_default
          source_refs: [S18, S19, S20, S23, S26, S35]
          rationale: "Allows small clock and aggregation mismatch while flagging effectively unmapped activity."
          counterevidence_or_failure_modes:
            - "scope mapping errors can lower apparent overlap"
          calibration_note: "Tune by clock drift, aggregation interval, and mapping quality."
        - name: min_attribution_channel_coverage_fraction
          value: 0.80
          unit: fraction
          evidence_status: source_informed
          source_refs: [S18, S19, S20, S23, S26, S35]
          rationale: "No-attribution findings require adequate coverage of the attribution channel being checked."
          counterevidence_or_failure_modes:
            - "billing and scheduler exports can be delayed or incomplete"
          calibration_note: "Replace with source coverage and delivery-delay measurements."
        - name: benign_attribution_explanation_overlap_fraction
          value: 0.80
          unit: fraction
          evidence_status: calibration_default
          source_refs: [S18, S21, S22, S40, S41]
          rationale: "A benign explanation should cover most of the suspicious activity before reducing severity."
          counterevidence_or_failure_modes:
            - "broad maintenance windows can over-explain unrelated activity"
          calibration_note: "Tune by maintenance and system-job record precision."
    required_output_fields:
      - activity_window
      - checked_attribution_channel
      - attribution_overlap_fraction
      - coverage_fraction
      - missing_attribution_channels
      - benign_explanations_checked
    false_positive_or_limitations:
      - "A single attribution channel may not be the authoritative source for all jobs."
    source_refs: [S07, S08, S18, S19, S20, S21, S22, S23, S26, S35, S36, S37, S38, S39]

  - id: achieved_ops_above_peak_capacity_conflict
    purpose: sparse_capacity_claim_conflict
    raw_feature_budget: 2
    required_feature_sets:
      any_one_of:
        - [generic_achieved_operation_rate, advertised_peak_rate_by_precision]
        - [generic_achieved_operation_rate, instance_type_shape_machine_type]
        - [generic_achieved_operation_rate, accelerator_count_by_family_sku]
    derived_signals:
      - achieved_operation_integral
      - capacity_upper_bound_flop
    emitted_statement:
      label: capacity_claim_conflict
      category: capacity_claim_conflict
      max_severity: critical
      statement: "Achieved-operation integral or claim exceeds sparse peak-derived capacity for the same scope/window by more than the uncertainty margin."
    trigger:
      type: two_feature_achieved_ops_capacity_logic
      evaluation_window: achieved_ops_peak_overlap_window
      conditions:
        all:
          - metric: achieved_operation_integral.unit_normalized
            op: "=="
            value: true
          - metric: achieved_ops_to_sparse_capacity_ratio
            op: ">"
            value_ref: max_sparse_achieved_to_capacity_ratio
          - metric: sparse_capacity_input_coverage_fraction
            op: ">="
            value_ref: min_sparse_capacity_conflict_coverage_fraction
        none:
          - metric: unit_mismatch_or_hidden_capacity_explanation_score
            op: ">="
            value_ref: unit_or_hidden_capacity_suppression_score
      missing_data_behavior: "If operation units or peak mode are not normalized, emit `unit_normalization_required` and cap severity at medium."
      severity_mapping:
        medium: "Exceedance with incomplete count/shape scope or possible unit mismatch."
        high: "Ratio > 1.10 with normalized units and coverage >= 0.75."
        critical: "Ratio > 1.25 with normalized units, coverage >= 0.90, and no hidden-capacity explanation."
      benign_explanation_or_suppressor_fields:
        - operation_unit_or_precision_mismatch
        - precision_or_mode_mismatch
        - hidden_or_unmonitored_capacity
        - counter_reset_or_rollover
      calibration_defaults:
        - name: max_sparse_achieved_to_capacity_ratio
          value: 1.10
          unit: ratio
          evidence_status: calibration_default
          source_refs: [S01, S03, S04, S05, S06, S07, S08, S09, S24]
          rationale: "Allows sparse measurement uncertainty while flagging achieved work above optimistic capacity."
          counterevidence_or_failure_modes:
            - "mixed precision, unit mismatch, counter reset, or hidden capacity can create apparent exceedance"
          calibration_note: "Replace with source-specific unit normalization and capacity uncertainty model."
        - name: min_sparse_capacity_conflict_coverage_fraction
          value: 0.75
          unit: fraction
          evidence_status: calibration_default
          source_refs: [S04, S05, S06, S07, S08, S09, S24]
          rationale: "Sparse conflict can emit before full capacity coverage but should not become high confidence without coverage."
          counterevidence_or_failure_modes:
            - "missing count, shape, or peak records can understate capacity"
          calibration_note: "Raise to 0.90 for critical severity in site policy."
        - name: unit_or_hidden_capacity_suppression_score
          value: 0.70
          unit: score_0_to_1
          evidence_status: project_assumption
          source_refs: [S01, S03, S04, S05, S06, S24]
          rationale: "Strong evidence of unit mismatch or out-of-scope capacity should suppress high severity until reviewed."
          counterevidence_or_failure_modes:
            - "claimed hidden capacity can be opportunistic or unverifiable"
          calibration_note: "Tie suppression to concrete source records and monitored-boundary definitions."
    required_output_fields:
      - achieved_operation_count
      - sparse_capacity_upper_bound_operations
      - exceedance_ratio
      - unit_normalization_status
      - capacity_scope
      - suppression_reason
    false_positive_or_limitations:
      - "Sparse peak capacity can be incomplete without count, shape, and duration."
    source_refs: [S01, S03, S04, S05, S06, S07, S08, S09, S24]

  - id: usage_above_quota_or_reservation_conflict
    purpose: sparse_cloud_capacity_consistency_conflict
    raw_feature_budget: 2
    required_feature_sets:
      any_one_of:
        - [quota_limit_intervals, compute_running_intervals]
        - [quota_limit_intervals, accelerator_compute_billing_usage_intervals]
        - [quota_limit_intervals, capacity_reservation_intervals]
        - [reservation_state_intervals, accelerator_compute_billing_usage_intervals]
        - [capacity_reservation_intervals, accelerator_compute_billing_usage_intervals]
        - [accelerator_reservation_billing_usage_intervals, compute_running_intervals]
    emitted_statement:
      label: capacity_claim_conflict
      category: capacity_claim_conflict
      max_severity: high
      statement: "Running, billed, reserved, or requested accelerator usage appears above the matching quota or reservation constraint."
    trigger:
      type: two_feature_quota_reservation_usage_logic
      evaluation_window: quota_reservation_usage_overlap_window
      conditions:
        all:
          - metric: usage_to_quota_or_reservation_ratio
            op: ">"
            value_ref: max_usage_to_quota_or_reservation_ratio
          - metric: cloud_control_plane_scope_match_score
            op: ">="
            value_ref: min_cloud_scope_match_score
          - metric: quota_or_reservation_overlap_fraction
            op: ">="
            value_ref: min_quota_usage_overlap_fraction
        none:
          - metric: quota_change_or_cross_scope_explanation_score
            op: ">="
            value_ref: quota_explanation_suppression_score
      missing_data_behavior: "If provider account/project/region/zone scope is unknown, cap severity at medium and output `scope_match_unknown`."
      severity_mapping:
        low: "Small exceedance with weak scope match."
        medium: "Usage exceeds quota/reservation with partial coverage or possible aggregation delay."
        high: "Usage ratio > 1.10 with scope match >= 0.80 and no quota-change or cross-scope explanation."
      benign_explanation_or_suppressor_fields:
        - quota_change_not_in_interval_feed
        - cross_account_or_project_split
        - reserved_capacity_exception
        - billing_aggregation_delay
      calibration_defaults:
        - name: max_usage_to_quota_or_reservation_ratio
          value: 1.10
          unit: ratio
          evidence_status: calibration_default
          source_refs: [S23, S24, S26, S35]
          rationale: "Allows provider export and unit uncertainty while flagging usage above sparse limits."
          counterevidence_or_failure_modes:
            - "quota units, reservation units, and billing units may not be directly comparable"
          calibration_note: "Normalize provider resource units and effective-time semantics."
        - name: min_cloud_scope_match_score
          value: 0.80
          unit: score_0_to_1
          evidence_status: source_informed
          source_refs: [S23, S24, S26, S35]
          rationale: "Cloud quota and usage comparisons are meaningful only for matching account/project/region/zone or placement scopes."
          counterevidence_or_failure_modes:
            - "cross-account, organization, or managed-service usage can be split"
          calibration_note: "Calibrate scope matching by provider export fields."
        - name: min_quota_usage_overlap_fraction
          value: 0.80
          unit: fraction
          evidence_status: calibration_default
          source_refs: [S23, S24, S26, S35]
          rationale: "Quota/reservation and usage intervals should overlap most of the compared window."
          counterevidence_or_failure_modes:
            - "billing records can be delayed or aggregated"
          calibration_note: "Tune by provider interval semantics."
        - name: quota_explanation_suppression_score
          value: 0.75
          unit: score_0_to_1
          evidence_status: project_assumption
          source_refs: [S23, S24, S26, S35]
          rationale: "Strong quota-change, cross-scope, or provider exception evidence should lower severity."
          counterevidence_or_failure_modes:
            - "exception records can be incomplete or ambiguous"
          calibration_note: "Tie suppression to concrete provider records."
    required_output_fields:
      - provider_scope
      - usage_quantity
      - quota_or_reservation_bound
      - exceedance_ratio
      - scope_match_score
      - explanation_status
    false_positive_or_limitations:
      - "Provider quotas are not always hard physical capacity limits."
    source_refs: [S23, S24, S26, S35]

  - id: activity_before_installation_or_service_conflict
    purpose: sparse_physical_timeline_conflict
    raw_feature_budget: 2
    required_feature_sets:
      any_one_of:
        - [compute_running_intervals, asset_receiving_installation_events]
        - [accelerator_compute_billing_usage_intervals, asset_receiving_installation_events]
        - [accelerator_busy_or_utilization_fraction, asset_receiving_installation_events]
        - [tensor_matrix_mxu_neuron_or_engine_active_fraction, asset_receiving_installation_events]
        - [compute_running_intervals, electrical_service_status_intervals]
        - [accelerator_compute_billing_usage_intervals, electrical_service_status_intervals]
        - [accelerator_busy_or_utilization_fraction, electrical_service_status_intervals]
        - [compute_running_intervals, utility_interconnection_status_intervals]
        - [compute_running_intervals, electrical_permit_status_intervals]
    derived_signals:
      - available_accelerator_fraction
      - capacity_upper_bound_flop
    emitted_statement:
      label: physical_timeline_conflict
      category: physical_timeline_conflict
      max_severity: critical
      statement: "Observed activity, running, or usage predates documented asset installation, utility readiness, permit approval, or energized electrical service for the same monitored site."
    trigger:
      type: two_feature_physical_timeline_logic
      evaluation_window: activity_or_usage_with_physical_timeline_window
      conditions:
        all:
          - metric: activity_or_usage_score
            op: ">="
            value_ref: min_sparse_activity_or_usage_score_for_timeline
          - metric: physical_prerequisite_state
            op: in
            value_ref: capacity_not_ready_states
          - metric: activity_starts_before_ready_delta_seconds
            op: "<"
            value_ref: negative_timeline_grace_period_seconds
        none:
          - metric: documented_alternative_capacity_score
            op: ">="
            value_ref: alternative_capacity_suppression_score
      missing_data_behavior: "If physical timeline records are absent rather than contradictory, emit `physical_records_missing` and cap severity at high."
      severity_mapping:
        medium: "Activity overlaps incomplete or pending physical records."
        high: "Activity predates one physical prerequisite with incomplete alternate-capacity review."
        critical: "Activity predates ready state by more than the grace period and no alternate capacity is documented."
      benign_explanation_or_suppressor_fields:
        - alternate_capacity_site_or_scope
        - temporary_generation
        - public_record_lag
        - asset_event_tracks_receipt_not_commissioning
      calibration_defaults:
        - name: min_sparse_activity_or_usage_score_for_timeline
          value: 0.50
          unit: score_0_to_1
          evidence_status: calibration_default
          source_refs: [S07, S08, S23, S26, S35, S36, S37, S38, S39]
          rationale: "Physical timeline conflict requires material observed activity, running, or usage."
          counterevidence_or_failure_modes:
            - "cloud running or billing can be scoped away from the physical site"
          calibration_note: "Calibrate activity and usage materiality by source type."
        - name: capacity_not_ready_states
          value: [not_installed, received_only, pending, requested, denied, not_energized, disconnected, expired]
          unit: categorical_set
          evidence_status: source_informed
          source_refs: [S40, S41, S44]
          rationale: "These physical states contradict local activity unless alternate capacity is documented."
          counterevidence_or_failure_modes:
            - "state names vary and public records can lag operations"
          calibration_note: "Normalize utility, permit, service, and asset event states."
        - name: negative_timeline_grace_period_seconds
          value: -3600
          unit: seconds
          evidence_status: calibration_default
          source_refs: [S40, S41, S44]
          rationale: "Allows one hour of timestamp and interval-boundary uncertainty."
          counterevidence_or_failure_modes:
            - "administrative records can lag actual energization by longer periods"
          calibration_note: "Replace with source-specific timestamp and record-lag accuracy."
        - name: alternative_capacity_suppression_score
          value: 0.80
          unit: score_0_to_1
          evidence_status: project_assumption
          source_refs: [S40, S41, S44]
          rationale: "Documented alternate site, temporary generation, or out-of-scope capacity can suppress impossibility."
          counterevidence_or_failure_modes:
            - "alternate-capacity claims may be incomplete or unverifiable"
          calibration_note: "Tie to concrete site, utility, and monitored-boundary records."
    required_output_fields:
      - activity_or_usage_window
      - physical_prerequisite
      - ready_time
      - timeline_delta_seconds
      - alternate_capacity_status
      - missing_physical_records
    false_positive_or_limitations:
      - "Physical site records can be incomplete, delayed, or scoped to only part of a site."
    source_refs: [S07, S08, S23, S26, S35, S36, S37, S38, S39, S40, S41, S44]

  - id: high_power_low_or_missing_activity_conflict
    purpose: sparse_power_activity_conflict
    raw_feature_budget: 2
    required_feature_sets:
      any_one_of:
        - [rack_pdu_it_power, accelerator_busy_or_utilization_fraction]
        - [rack_pdu_it_power, tensor_matrix_mxu_neuron_or_engine_active_fraction]
        - [server_system_input_power, accelerator_busy_or_utilization_fraction]
        - [server_system_input_power, tensor_matrix_mxu_neuron_or_engine_active_fraction]
        - [facility_or_room_it_power_rollup, accelerator_busy_or_utilization_fraction]
        - [accelerator_device_power_energy, tensor_matrix_mxu_neuron_or_engine_active_fraction]
    derived_signals:
      - telemetry_coverage_fraction
      - clock_aligned_overlap_window
    emitted_statement:
      label: power_activity_conflict
      category: power_activity_conflict
      max_severity: high
      statement: "High physical load conflicts with low or missing accelerator activity in the same mapped scope/window."
    trigger:
      type: two_feature_power_activity_logic
      evaluation_window: lag_adjusted_power_activity_window
      conditions:
        all:
          - metric: baseline_subtracted_power_fraction_of_scope_capacity
            op: ">="
            value_ref: min_sparse_power_load_fraction
          - metric: lag_adjusted_overlap_duration_seconds
            op: ">="
            value_ref: min_sparse_power_activity_overlap_seconds
        any:
          - metric: sparse_activity_score
            op: "<="
            value_ref: max_sparse_low_activity_score
          - metric: telemetry_coverage_fraction.accelerator_activity
            op: "<"
            value_ref: min_sparse_activity_coverage_fraction
        none:
          - metric: maintenance_or_cooling_explanation_overlap_fraction
            op: ">="
            value_ref: benign_power_explanation_overlap_fraction
      missing_data_behavior: "If activity coverage is low, emit `activity_missing_during_power_load` instead of concluding true low accelerator activity."
      severity_mapping:
        low: "High power with weak scope mapping or benign explanation."
        medium: "High power with low or missing activity for the minimum duration."
        high: "High power with covered low activity and no maintenance, cooling, mixed-tenant, or storage explanation."
      benign_explanation_or_suppressor_fields:
        - maintenance_operation_intervals
        - cooling_alarm_state
        - mixed_tenant_or_non_gpu_load
        - cpu_or_storage_load
      calibration_defaults:
        - name: min_sparse_power_load_fraction
          value: 0.25
          unit: fraction_of_scope_power_capacity
          evidence_status: calibration_default
          source_refs: [S07, S08, S09, S40, S41]
          rationale: "Power must be materially above baseline before challenging accelerator activity telemetry."
          counterevidence_or_failure_modes:
            - "CPU, storage, network, cooling faults, and mixed tenancy can raise power"
          calibration_note: "Replace with rack/server/device baselines and scope capacity."
        - name: min_sparse_power_activity_overlap_seconds
          value: 600
          unit: seconds
          evidence_status: calibration_default
          source_refs: [S07, S08, S09, S40, S41]
          rationale: "Avoids short transients and telemetry skew."
          counterevidence_or_failure_modes:
            - "brief high-power tests can still matter"
          calibration_note: "Tune by power and accelerator scrape intervals."
        - name: max_sparse_low_activity_score
          value: 0.20
          unit: score_0_to_1
          evidence_status: calibration_default
          source_refs: [S07, S08, S36, S37, S38, S39]
          rationale: "Defines low normalized accelerator activity for sparse conflict review."
          counterevidence_or_failure_modes:
            - "activity counters can under-report or miss non-GPU load"
          calibration_note: "Calibrate by confirmed idle and active windows."
        - name: min_sparse_activity_coverage_fraction
          value: 0.80
          unit: fraction
          evidence_status: source_informed
          source_refs: [S07, S08, S36, S37, S38, S39]
          rationale: "Low activity is meaningful only when activity coverage is adequate."
          counterevidence_or_failure_modes:
            - "collector gaps can mimic low activity"
          calibration_note: "Replace with activity telemetry coverage."
        - name: benign_power_explanation_overlap_fraction
          value: 0.80
          unit: fraction
          evidence_status: calibration_default
          source_refs: [S18, S40, S41]
          rationale: "A benign explanation should cover most of the high-power window before lowering severity."
          counterevidence_or_failure_modes:
            - "broad maintenance windows can over-explain"
          calibration_note: "Tune by maintenance, cooling, and scope-mapping quality."
    required_output_fields:
      - power_window
      - mapped_scope
      - activity_score
      - activity_coverage_fraction
      - power_delta_watts
      - explanations_checked
    false_positive_or_limitations:
      - "Power is often coarser than accelerator telemetry and may include unrelated loads."
    source_refs: [S07, S08, S09, S18, S36, S37, S38, S39, S40, S41]

  - id: fabric_without_job_or_topology_mapping_conflict
    purpose: sparse_fabric_mapping_conflict
    raw_feature_budget: 2
    required_feature_sets:
      any_one_of:
        - [scaleout_port_tx_rx_bytes_packets, allocated_accelerator_count_by_sku]
        - [scaleout_port_tx_rx_bytes_packets, compute_running_intervals]
        - [scaleout_port_tx_rx_bytes_packets, container_resource_usage_quantity]
        - [fabric_port_device_sample_counters, allocated_accelerator_count_by_sku]
        - [fabric_port_device_sample_counters, compute_running_intervals]
        - [local_interconnect_tx_rx_bytes, allocated_accelerator_count_by_sku]
        - [east_west_internal_flow_bytes, compute_running_intervals]
    derived_signals:
      - collective_cadence_score
      - stable_participant_set
      - telemetry_coverage_fraction
    emitted_statement:
      label: fabric_mapping_conflict
      category: fabric_mapping_conflict
      max_severity: high
      statement: "High or collective-like fabric activity has no stable job, container, allocation, running, or topology mapping in the covered sparse channel."
    trigger:
      type: two_feature_fabric_mapping_logic
      evaluation_window: fabric_mapping_overlap_window
      conditions:
        all:
          - metric: sparse_fabric_activity_score
            op: ">="
            value_ref: min_sparse_fabric_activity_score
          - metric: sparse_fabric_duration_seconds
            op: ">="
            value_ref: min_sparse_fabric_duration_seconds
          - metric: mapping_coverage_fraction
            op: "<="
            value_ref: max_sparse_mapping_coverage_fraction
        none:
          - metric: storage_or_network_test_explanation_score
            op: ">="
            value_ref: fabric_explanation_suppression_score
      missing_data_behavior: "Missing mapping is the finding; output which mapping channel was expected, observed, or unavailable."
      severity_mapping:
        low: "Fabric activity with partial mapping gap."
        medium: "High fabric activity with mapping coverage <= 0.20 or unknown participant mapping."
        high: "High fabric activity for the minimum duration with mapping coverage <= 0.05 and no storage, network-test, route-change, or maintenance explanation."
      benign_explanation_or_suppressor_fields:
        - storage_operation_intervals
        - object_or_file_copy_movement_records
        - topology_change_events
        - maintenance_operation_intervals
      calibration_defaults:
        - name: min_sparse_fabric_activity_score
          value: 0.60
          unit: score_0_to_1
          evidence_status: calibration_default
          source_refs: [S11, S25, S28, S29, S42, S43]
          rationale: "Requires material normalized fabric or internal-flow activity before treating a mapping gap as important."
          counterevidence_or_failure_modes:
            - "storage, inference, benchmarks, and HPC can all raise fabric activity"
          calibration_note: "Replace with local fabric score distributions."
        - name: min_sparse_fabric_duration_seconds
          value: 600
          unit: seconds
          evidence_status: calibration_default
          source_refs: [S11, S25, S42, S43]
          rationale: "Filters short bursts and control-plane noise."
          counterevidence_or_failure_modes:
            - "short communication tests can still matter"
          calibration_note: "Tune by fabric aggregation and local benchmark durations."
        - name: max_sparse_mapping_coverage_fraction
          value: 0.20
          unit: fraction
          evidence_status: calibration_default
          source_refs: [S18, S20, S25, S42, S43]
          rationale: "At most sparse mapping exists for the suspicious fabric window."
          counterevidence_or_failure_modes:
            - "mapping source outages can create false positives"
          calibration_note: "Calibrate port-to-job, container, and topology mapping reliability."
        - name: fabric_explanation_suppression_score
          value: 0.75
          unit: score_0_to_1
          evidence_status: calibration_default
          source_refs: [S25, S31, S32, S33, S42, S43]
          rationale: "Strong alternative explanation should lower mapping-conflict severity."
          counterevidence_or_failure_modes:
            - "storage explanations or tests can overlap real collective traffic"
          calibration_note: "Tune with storage, benchmark, HPC, and maintenance labels."
    required_output_fields:
      - fabric_window
      - fabric_activity_score
      - missing_mapping_channel
      - mapping_coverage_fraction
      - participant_scope
      - explanations_checked
    false_positive_or_limitations:
      - "Aggregate fabric counters may not expose participant identity."
    source_refs: [S11, S18, S20, S25, S28, S29, S31, S32, S33, S42, S43]

  - id: checkpoint_writes_without_activity_conflict
    purpose: sparse_storage_activity_conflict
    raw_feature_budget: 2
    required_feature_sets:
      any_one_of:
        - [storage_write_operation_bytes, tensor_matrix_mxu_neuron_or_engine_active_fraction]
        - [storage_write_operation_bytes, accelerator_busy_or_utilization_fraction]
        - [storage_write_operation_bytes, generic_achieved_operation_rate]
        - [object_storage_operation_counts, tensor_matrix_mxu_neuron_or_engine_active_fraction]
        - [object_storage_operation_counts, accelerator_busy_or_utilization_fraction]
        - [filesystem_throughput_metadata_ops, tensor_matrix_mxu_neuron_or_engine_active_fraction]
    derived_signals:
      - checkpoint_periodicity_score
      - checkpoint_size_consistency
      - telemetry_coverage_fraction
    emitted_statement:
      label: storage_activity_conflict
      category: storage_activity_conflict
      max_severity: high
      statement: "Checkpoint-like writes appear without overlapping or adjacent accelerator activity in covered telemetry."
    trigger:
      type: two_feature_checkpoint_activity_logic
      evaluation_window: checkpoint_activity_adjacency_window
      conditions:
        all:
          - metric: checkpoint_like_write_score
            op: ">="
            value_ref: min_checkpoint_like_write_score
          - metric: write_burst_count
            op: ">="
            value_ref: min_sparse_checkpoint_write_burst_count
          - metric: checkpoint_activity_adjacency_fraction
            op: "<="
            value_ref: max_checkpoint_activity_adjacency_fraction
        none:
          - metric: storage_operation_explanation_score
            op: ">="
            value_ref: checkpoint_storage_explanation_suppression_score
      missing_data_behavior: "If activity telemetry coverage is below threshold, emit `activity_missing_near_writes` and route to telemetry-gap review."
      severity_mapping:
        info: "Writes are explained by explicit storage operation."
        medium: "Checkpoint-like writes with low or missing activity coverage."
        high: "Repeated checkpoint-like writes with adequate activity coverage, adjacency <= 0.10, and no storage explanation."
      benign_explanation_or_suppressor_fields:
        - storage_operation_intervals
        - object_or_file_copy_movement_records
        - backup_or_snapshot
        - etl_export
        - synthetic_data_generation_output
      calibration_defaults:
        - name: min_checkpoint_like_write_score
          value: 0.55
          unit: score_0_to_1
          evidence_status: source_informed
          source_refs: [S31, S32, S33, S45, S46, S47]
          rationale: "Repeated write bursts and object/file metadata can be checkpoint-like but are not unique to training."
          counterevidence_or_failure_modes:
            - "backups, snapshots, ETL, replication, and generated data can mimic checkpoints"
          calibration_note: "Replace with local checkpoint and storage-operation traces."
        - name: min_sparse_checkpoint_write_burst_count
          value: 2
          unit: bursts
          evidence_status: calibration_default
          source_refs: [S45, S46, S47]
          rationale: "Two bursts are needed before a sparse write pattern resembles checkpoint cadence."
          counterevidence_or_failure_modes:
            - "short jobs may save only one final checkpoint"
          calibration_note: "Calibrate by checkpoint policy and job duration."
        - name: max_checkpoint_activity_adjacency_fraction
          value: 0.10
          unit: fraction
          evidence_status: calibration_default
          source_refs: [S31, S32, S33, S45, S46, S47]
          rationale: "Allows small timing mismatch while flagging writes mostly unadjacent to activity."
          counterevidence_or_failure_modes:
            - "asynchronous checkpoint flushes can lag activity"
          calibration_note: "Tune adjacency window by framework and storage logging interval."
        - name: checkpoint_storage_explanation_suppression_score
          value: 0.75
          unit: score_0_to_1
          evidence_status: calibration_default
          source_refs: [S31, S32, S33, S34, S35]
          rationale: "A strong storage operation explanation should lower severity."
          counterevidence_or_failure_modes:
            - "backup can overlap real checkpointing"
          calibration_note: "Calibrate storage operation labels and byte attribution."
    required_output_fields:
      - write_window
      - write_burst_count
      - checkpoint_like_write_score
      - activity_adjacency_fraction
      - activity_coverage_fraction
      - storage_explanation_status
    false_positive_or_limitations:
      - "Checkpoint-like storage shape is not unique to training."
    source_refs: [S31, S32, S33, S34, S35, S45, S46, S47]

  - id: telemetry_gap_during_sparse_candidate_window
    purpose: sparse_telemetry_missingness_conflict
    raw_feature_budget: 1
    required_feature_sets:
      any_one_of:
        - [allocated_accelerator_count_by_sku]
        - [compute_running_intervals]
        - [generic_achieved_operation_rate]
        - [tensor_matrix_mxu_neuron_or_engine_active_fraction]
        - [accelerator_busy_or_utilization_fraction]
        - [scaleout_port_tx_rx_bytes_packets]
        - [storage_write_operation_bytes]
        - [accelerator_device_power_energy]
        - [rack_pdu_it_power]
    derived_signals:
      - telemetry_coverage_fraction
    emitted_statement:
      label: telemetry_missingness_conflict
      category: telemetry_missingness_conflict
      max_severity: critical
      statement: "One or more expected primary telemetry channels have low coverage during a sparse candidate, high-activity, high-fabric, high-storage, or high-power window."
    trigger:
      type: one_feature_candidate_missingness_logic
      evaluation_window: sparse_candidate_or_high_activity_window
      conditions:
        all:
          - metric: sparse_candidate_window_score
            op: ">="
            value_ref: min_sparse_candidate_window_score_for_gap
          - metric: telemetry_coverage_fraction.primary_channel_min
            op: "<"
            value_ref: min_required_sparse_primary_coverage_fraction
        any:
          - metric: missing_channel_importance_score
            op: ">="
            value_ref: min_sparse_missing_channel_importance_score
          - metric: telemetry_gap_overlap_fraction
            op: ">="
            value_ref: min_sparse_gap_overlap_fraction
        none:
          - metric: documented_collector_or_maintenance_outage_overlap_fraction
            op: ">="
            value_ref: benign_gap_explanation_overlap_fraction
      missing_data_behavior: "The missing data is the finding; do not infer absence of training, serving, storage, or power activity from the gap."
      severity_mapping:
        medium: "One support channel gaps during a weak sparse candidate."
        high: "A primary activity, fabric, storage, serving, power, allocation, or billing channel gaps during a candidate window."
        critical: "Multiple primary channels gap during a policy-scale or high-confidence candidate and coincide with unexplained physical access or maintenance."
      benign_explanation_or_suppressor_fields:
        - documented_collector_or_source_outage
        - log_configuration_disabled
        - provider_best_effort_delay
        - maintenance_operation_intervals
        - physical_access_events
      calibration_defaults:
        - name: min_sparse_candidate_window_score_for_gap
          value: 0.50
          unit: score_0_to_1
          evidence_status: project_assumption
          source_refs: [S07, S08, S27, S28, S29, S30, S31, S35, S36, S37, S38, S39]
          rationale: "Telemetry gaps are escalated when they overlap a candidate or materially active sparse window."
          counterevidence_or_failure_modes:
            - "candidate scoring can under- or over-prioritize windows"
          calibration_note: "Calibrate from rule outputs and known incident reviews."
        - name: min_required_sparse_primary_coverage_fraction
          value: 0.75
          unit: fraction
          evidence_status: source_informed
          source_refs: [S07, S08, S27, S28, S29, S30, S31, S35, S36, S37, S38, S39]
          rationale: "Primary channels below this coverage materially weaken sparse verification."
          counterevidence_or_failure_modes:
            - "some sources are sampled or best-effort by design and need adjusted expectations"
          calibration_note: "Replace with expected source coverage by channel."
        - name: min_sparse_missing_channel_importance_score
          value: 0.60
          unit: score_0_to_1
          evidence_status: project_assumption
          source_refs: [S07, S08, S27, S28, S29, S30, S31, S35]
          rationale: "Prioritizes channels that would materially affect the sparse candidate label."
          counterevidence_or_failure_modes:
            - "importance depends on available alternate channels"
          calibration_note: "Calibrate with the evidence-combination model."
        - name: min_sparse_gap_overlap_fraction
          value: 0.50
          unit: fraction
          evidence_status: calibration_default
          source_refs: [S07, S08, S27, S28, S29, S30, S31, S35]
          rationale: "A gap should cover a material fraction of the candidate window."
          counterevidence_or_failure_modes:
            - "short gaps can hide decisive bursts"
          calibration_note: "Tune by sampling interval and expected burst duration."
        - name: benign_gap_explanation_overlap_fraction
          value: 0.80
          unit: fraction
          evidence_status: calibration_default
          source_refs: [S18, S21, S22, S27, S40, S41]
          rationale: "Documented outages or maintenance can lower integrity severity when they explain most of the gap."
          counterevidence_or_failure_modes:
            - "planned outages can coincide with evasion or unrelated gaps"
          calibration_note: "Tune with collector outage and maintenance records."
    required_output_fields:
      - candidate_window
      - candidate_basis_feature
      - missing_channels
      - coverage_fraction_by_channel
      - gap_overlap_fraction
      - explanations_checked
    false_positive_or_limitations:
      - "Expected coverage must be source-specific; generic defaults are only routing defaults."
    source_refs: [S07, S08, S18, S21, S22, S27, S28, S29, S30, S31, S35, S36, S37, S38, S39, S40, S41]

  - id: route_or_topology_change_during_sparse_candidate
    purpose: sparse_topology_route_conflict
    raw_feature_budget: 2
    required_feature_sets:
      any_one_of:
        - [topology_change_events, scaleout_port_tx_rx_bytes_packets]
        - [topology_change_events, fabric_port_device_sample_counters]
        - [topology_change_events, compute_running_intervals]
        - [network_gateway_nat_route_state, vpc_or_nsg_flow_records]
        - [network_gateway_nat_route_state, east_west_internal_flow_bytes]
        - [network_gateway_nat_route_state, north_south_external_egress]
    derived_signals:
      - largest_usable_topology_domain
      - telemetry_coverage_fraction
      - clock_aligned_overlap_window
    emitted_statement:
      label: topology_route_conflict
      category: topology_route_conflict
      max_severity: high
      statement: "A topology, route, NAT, gateway, firewall, or security-state change overlaps candidate fabric, flow, or compute activity and may change attribution or visibility."
    trigger:
      type: two_feature_route_topology_change_logic
      evaluation_window: sparse_candidate_with_route_or_topology_change_window
      conditions:
        all:
          - metric: topology_or_route_change_overlap_fraction
            op: ">="
            value_ref: min_sparse_change_overlap_fraction
          - metric: visibility_or_participant_impact_score
            op: ">="
            value_ref: min_sparse_visibility_impact_score
        any:
          - metric: fabric_or_flow_coverage_fraction
            op: "<"
            value_ref: min_sparse_fabric_or_flow_coverage_fraction
          - metric: participant_churn_fraction
            op: ">="
            value_ref: min_sparse_participant_churn_fraction
      missing_data_behavior: "If change records are unavailable, do not clear fabric or flow discrepancies; emit `topology_change_coverage_unknown`."
      severity_mapping:
        low: "Change overlaps candidate window but measured impact is weak."
        medium: "Change overlaps and affects participant mapping, path, or visibility."
        high: "Change overlaps a medium/high sparse candidate and coincides with coverage loss or remap without maintenance explanation."
      benign_explanation_or_suppressor_fields:
        - documented_network_maintenance
        - failure_recovery
        - planned_network_or_capacity_change
        - monitoring_path_change
      calibration_defaults:
        - name: min_sparse_change_overlap_fraction
          value: 0.10
          unit: fraction
          evidence_status: calibration_default
          source_refs: [S25, S28, S29, S30, S42, S43]
          rationale: "Topology and route events are discrete; even partial overlap can affect attribution."
          counterevidence_or_failure_modes:
            - "event timestamps can be imprecise"
          calibration_note: "Tune by topology and network event time accuracy."
        - name: min_sparse_visibility_impact_score
          value: 0.50
          unit: score_0_to_1
          evidence_status: calibration_default
          source_refs: [S25, S28, S29, S30, S42, S43]
          rationale: "Only changes that plausibly affect mapping or visibility should escalate."
          counterevidence_or_failure_modes:
            - "impact may be unknown or delayed"
          calibration_note: "Calibrate from network operations records."
        - name: min_sparse_fabric_or_flow_coverage_fraction
          value: 0.75
          unit: fraction
          evidence_status: source_informed
          source_refs: [S28, S29, S30, S42, S43]
          rationale: "Flow or fabric visibility below this during a route/topology change weakens attribution."
          counterevidence_or_failure_modes:
            - "provider flow logs can be sampled, skipped, or delayed"
          calibration_note: "Replace with fabric and flow source coverage expectations."
        - name: min_sparse_participant_churn_fraction
          value: 0.20
          unit: fraction
          evidence_status: calibration_default
          source_refs: [S18, S20, S25, S42, S43]
          rationale: "Material participant churn during candidate windows is attribution-relevant."
          counterevidence_or_failure_modes:
            - "elastic jobs and failures can churn normally"
          calibration_note: "Tune by scheduler and topology behavior."
    required_output_fields:
      - change_event_time
      - affected_scope
      - candidate_window_overlap
      - visibility_impact_score
      - participant_churn_fraction
      - explanation_status
    false_positive_or_limitations:
      - "Route changes can be benign but still alter telemetry interpretation."
    source_refs: [S18, S20, S25, S28, S29, S30, S42, S43]

  - id: fabric_or_storage_activity_explained_by_storage_operation
    purpose: sparse_storage_or_fabric_explanation
    raw_feature_budget: 2
    required_feature_sets:
      any_one_of:
        - [scaleout_port_tx_rx_bytes_packets, storage_operation_intervals]
        - [fabric_port_device_sample_counters, storage_operation_intervals]
        - [east_west_internal_flow_bytes, storage_operation_intervals]
        - [data_center_interconnect_wan_usage, storage_operation_intervals]
        - [vpc_or_nsg_flow_records, storage_operation_intervals]
        - [storage_write_operation_bytes, storage_operation_intervals]
        - [storage_read_operation_bytes, storage_operation_intervals]
        - [storage_write_operation_bytes, object_or_file_copy_movement_records]
    derived_signals:
      - storage_staging_window
    emitted_statement:
      label: storage_operation_explanation_screen
      category: storage_activity_conflict
      max_severity: medium
      statement: "High fabric, flow, read, or write activity overlaps an explicit storage operation that may explain bytes otherwise mistaken for collective, staging, or checkpoint evidence."
    trigger:
      type: two_feature_storage_explanation_logic
      evaluation_window: storage_activity_operation_overlap_window
      conditions:
        all:
          - metric: storage_or_fabric_activity_score
            op: ">="
            value_ref: min_sparse_storage_or_fabric_activity_score
          - metric: storage_operation_type
            op: in
            value_ref: explanatory_storage_operation_types
          - metric: storage_operation_overlap_fraction
            op: ">="
            value_ref: min_sparse_storage_operation_overlap_fraction
          - metric: bytes_explained_fraction
            op: ">="
            value_ref: min_sparse_bytes_explained_fraction
      missing_data_behavior: "If storage-operation labels are missing, emit `explanation_unavailable` rather than suppressing training evidence."
      severity_mapping:
        info: "Storage operation explains most suspicious bytes."
        low: "Storage operation partly explains bytes; residual activity remains."
        medium: "Storage operation overlaps but byte attribution is weak or mixed."
      benign_explanation_or_suppressor_fields:
        - backup
        - restore
        - replication
        - rebuild
        - migration
        - disaster_recovery
        - etl_export
      calibration_defaults:
        - name: min_sparse_storage_or_fabric_activity_score
          value: 0.50
          unit: score_0_to_1
          evidence_status: calibration_default
          source_refs: [S28, S29, S31, S32, S33, S34, S35, S42, S43]
          rationale: "Explanation check applies to material normalized fabric, flow, read, or write activity."
          counterevidence_or_failure_modes:
            - "small but meaningful collective or checkpoint bursts can be below this"
          calibration_note: "Calibrate by storage, fabric, and flow baselines."
        - name: explanatory_storage_operation_types
          value: [backup, restore, rebuild, replication, migration, disaster_recovery, snapshot, object_copy, etl_export]
          unit: categorical_set
          evidence_status: source_informed
          source_refs: [S31, S32, S33, S34, S35]
          rationale: "Explicit operation types can explain storage-driven network and write traffic."
          counterevidence_or_failure_modes:
            - "operation labels may be broad or overlap true training"
          calibration_note: "Normalize provider and storage labels."
        - name: min_sparse_storage_operation_overlap_fraction
          value: 0.80
          unit: fraction
          evidence_status: calibration_default
          source_refs: [S31, S32, S33, S34, S35]
          rationale: "Storage operation should overlap most suspicious activity to explain it."
          counterevidence_or_failure_modes:
            - "coarse operation intervals can over-explain"
          calibration_note: "Tune by operation interval precision."
        - name: min_sparse_bytes_explained_fraction
          value: 0.70
          unit: fraction
          evidence_status: calibration_default
          source_refs: [S31, S32, S33, S34, S35]
          rationale: "Most bytes should be explainable before lowering training suspicion."
          counterevidence_or_failure_modes:
            - "shared links can mix storage and accelerator traffic"
          calibration_note: "Use route/path and byte-attribution calibration."
    required_output_fields:
      - suspicious_activity_window
      - storage_operation_type
      - activity_score
      - explained_bytes
      - unexplained_residual
      - effect_on_candidate_label
    false_positive_or_limitations:
      - "Storage operations explain only overlapping and attributable traffic."
    source_refs: [S28, S29, S31, S32, S33, S34, S35, S42, S43]

  - id: high_activity_during_degraded_or_throttled_state_conflict
    purpose: sparse_health_throttle_conflict
    raw_feature_budget: 2
    required_feature_sets:
      any_one_of:
        - [accelerator_health_error_state, tensor_matrix_mxu_neuron_or_engine_active_fraction]
        - [accelerator_health_error_state, generic_achieved_operation_rate]
        - [accelerator_health_error_state, accelerator_busy_or_utilization_fraction]
        - [accelerator_throttle_state, tensor_matrix_mxu_neuron_or_engine_active_fraction]
        - [accelerator_performance_limit_state, generic_achieved_operation_rate]
        - [accelerator_power_limit_active, generic_achieved_operation_rate]
        - [accelerator_thermal_limit_active, tensor_matrix_mxu_neuron_or_engine_active_fraction]
        - [power_cap_violation_throttle_state, generic_achieved_operation_rate]
        - [local_link_error_recovery_throttle, scaleout_port_tx_rx_bytes_packets]
        - [rdma_congestion_retry_drop_error_counters, scaleout_port_tx_rx_bytes_packets]
    derived_signals:
      - cap_clock_power_factor
      - available_accelerator_fraction
      - telemetry_coverage_fraction
    emitted_statement:
      label: health_throttle_conflict
      category: health_throttle_conflict
      max_severity: critical
      statement: "High observed activity, achieved operations, or fabric activity overlaps degraded, throttled, power-limited, thermal-limited, or link-degraded state that should reduce credible capacity."
    trigger:
      type: two_feature_degraded_activity_logic
      evaluation_window: degraded_or_limited_activity_overlap_window
      conditions:
        all:
          - metric: sparse_activity_or_fabric_score
            op: ">="
            value_ref: min_sparse_degraded_conflict_activity_score
          - metric: degraded_or_limited_affected_fraction
            op: ">="
            value_ref: min_sparse_degraded_affected_fraction
          - metric: degraded_activity_overlap_fraction
            op: ">="
            value_ref: min_sparse_degraded_activity_overlap_fraction
        any:
          - metric: cap_clock_power_factor.cap_clock_power_factor
            op: "<="
            value_ref: max_sparse_cap_clock_power_factor_for_conflict
          - metric: achieved_ops_to_degraded_capacity_ratio
            op: ">"
            value_ref: max_sparse_degraded_capacity_ratio
      missing_data_behavior: "If health or throttle coverage is missing, emit coverage caveat and route to telemetry-gap review rather than clearing high activity."
      severity_mapping:
        medium: "High activity overlaps degraded/limited state but affected fraction or capacity conflict is modest."
        high: "High activity conflicts with degraded adjusted capacity over most of the sparse window."
        critical: "Achieved operations exceed degraded cap-adjusted capacity by > 25 percent with high coverage."
      benign_explanation_or_suppressor_fields:
        - partial_device_set_limitation
        - transient_low_materiality_limit
        - counter_scope_mismatch
        - automatic_recovery
      calibration_defaults:
        - name: min_sparse_degraded_conflict_activity_score
          value: 0.70
          unit: score_0_to_1
          evidence_status: calibration_default
          source_refs: [S07, S08, S36, S37, S38, S39, S42, S43]
          rationale: "Conflict requires clear high activity, achieved operations, or fabric activity."
          counterevidence_or_failure_modes:
            - "activity or fabric scores can be inflated by proxy estimates"
          calibration_note: "Calibrate by device, link, and counter source."
        - name: min_sparse_degraded_affected_fraction
          value: 0.20
          unit: fraction
          evidence_status: calibration_default
          source_refs: [S07, S08, S09, S42, S43]
          rationale: "A material fraction of devices or links must be degraded for a window-level conflict."
          counterevidence_or_failure_modes:
            - "one critical link can affect more than its fraction suggests"
          calibration_note: "Tune by topology and failure impact."
        - name: min_sparse_degraded_activity_overlap_fraction
          value: 0.50
          unit: fraction
          evidence_status: calibration_default
          source_refs: [S07, S08, S09, S42, S43]
          rationale: "Degraded state should overlap material activity."
          counterevidence_or_failure_modes:
            - "short severe events can still matter"
          calibration_note: "Tune by telemetry interval and failure duration."
        - name: max_sparse_cap_clock_power_factor_for_conflict
          value: 0.80
          unit: fraction
          evidence_status: calibration_default
          source_refs: [S07, S08, S09]
          rationale: "A 20 percent or larger capacity reduction should be considered in sparse high-activity consistency checks."
          counterevidence_or_failure_modes:
            - "some limit states are non-binding"
          calibration_note: "Calibrate with per-SKU cap/performance data."
        - name: max_sparse_degraded_capacity_ratio
          value: 1.10
          unit: ratio
          evidence_status: calibration_default
          source_refs: [S04, S05, S06, S07, S08, S09, S24]
          rationale: "Allows uncertainty while flagging activity above degraded adjusted capacity."
          counterevidence_or_failure_modes:
            - "capacity model can be conservative or unit-mismatched"
          calibration_note: "Replace with cap-adjusted uncertainty model."
    required_output_fields:
      - degraded_window
      - activity_window
      - affected_fraction
      - capacity_reduction_factor
      - exceedance_ratio
      - coverage_summary
    false_positive_or_limitations:
      - "Limit and health states are source-specific and may be transient."
    source_refs: [S04, S05, S06, S07, S08, S09, S24, S36, S37, S38, S39, S42, S43]