trace-artifact / framework /observables /rules /aggregation_rules.yaml
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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."