{"format": "ta-amps.seed-pack.nouns.v1", "pack_id": "loops-schedules-and-heuristics", "status": "proposal_only", "records": [ {"store": "seedpack.loops-schedules-and-heuristics", "key": "loops-schedules-and-heuristics.v0.1.0.pack", "expected_version": 0, "producer_surface": "surface:tessera", "visibility_scope": "surface_only", "allowed_surfaces": [], "target_cohorts": ["all"], "tags": ["category:noun.skill_pack", "pack:loops-schedules-and-heuristics", "role:pack", "content:authored", "spdx:MIT", "status:quarantined"], "value": {"category_id": "noun.skill_pack", "role": "pack", "pack": "loops-schedules-and-heuristics", "pack_version": "0.1.0", "title": "A collection of nouns and verbs for inert window-keyed schedule compilation, fragility half-life urgency ranking, AIMD claim pacing, UCB1 anti-stall bandit loops, seven-tier compute resource cascades and six advice-only swappable learners", "lets_workers": "Compile inert Schedule Nouns into deterministic window-keyed idempotency keys with hash-seeded jitter, zero-I/O due-window gates, stop_at deadlines, exponential backoff and systemd --user templates, rank stale work via fragility half-life urgency, pace claims with AIMD fair-share control, prevent search plateaus via UCB1 plus tombstone suppression, route tasks across a 7-tier compute cascade and evaluate six advice-only swappable learners.", "flow": [{"verb": "loops-schedules-and-heuristics.compile-inert-schedule-and-aimd-pacing", "when": "Evaluate inert schedule windows, fragility half-life urgency rankings, AIMD claim concurrency and optional systemd --user unit templates."}, {"verb": "loops-schedules-and-heuristics.step-bandit-anti-stall-and-compute-cascade", "when": "Select UCB1 + empirical-Bayes arms with tombstone suppression and plateau query mutation, and pick the minimum-cost valid compute tier."}, {"verb": "loops-schedules-and-heuristics.evaluate-swappable-learner-advisors", "when": "Run the six advice_only swappable learners while preserving deterministic baseline validity and family-grouped rights-cleared splits."}], "guardrails": [{"store": "seedpack.loops-schedules-and-heuristics", "key": "loops-schedules-and-heuristics.v0.1.0.guardrail.inert-schedules-and-zero-off-window-io", "version": 1, "value_sha256": "60abd11960ad7dfb98087932ef7a17b7a01c7f0d53141582deec2fa3e59f5f5b"}, {"store": "seedpack.loops-schedules-and-heuristics", "key": "loops-schedules-and-heuristics.v0.1.0.guardrail.advice-only-learners-and-rights-cleared-splits", "version": 1, "value_sha256": "e4e4560951d33da785688065a386fca75cc292d2a1274357b780bf8f8065784b"}], "tool": {"store": "seedpack.loops-schedules-and-heuristics", "key": "loops-schedules-and-heuristics.v0.1.0.tool.loops-schedules", "version": 1, "value_sha256": "221ae8e1fb2ee6723b45886a897e901faaa0477c691811ba46318668c047c877"}, "worked_example": "Synthetic hourly schedule, fragility urgency, AIMD pacing, 3-arm tombstone-filtered UCB1 loop, 7-tier compute cascade and 6-learner bundle recomputed in test_loops_schedules.py: enforces auto_enqueued false and 0 storage I/O outside due windows, halves AIMD concurrency from 6 to 3 on elevated EWMA latency, suppresses tombstoned arm.refuted-regex while detecting a 3-wave plateau, selects 0_code_shim for AST checks and 3_serverless_gpu_credit for 40k-token confidential synthesis, and splits public permissive traces by task_family_id with 0 overlap while blocking contributor-restricted and secret traces.", "status": "proposal", "admission": "not_admitted", "content_kind": "authored_guidance", "license": "MIT", "provenance": {"source": "original ta-amps authored proposal", "license": "MIT", "generator": "scripts/build_packs.py", "independently_verified": false}, "dimensions": {"determinism": 0.0, "evidence_grounding": 0.0, "token_efficiency": 0.0, "safety_compliance": 0.0, "verification_tier": "unverified"}, "dimension_basis": {"measured": false, "method": "unmeasured_floor", "reason": "Tessera requires these axes, so each is set to its lowest value and the tier is unverified. No quality is claimed. Replace them only with measured values and the evidence that produced them."}, "relations": [{"relation": "requires_noun", "target_id": "seedpack.loops-schedules-and-heuristics/loops-schedules-and-heuristics.v0.1.0.guardrail.inert-schedules-and-zero-off-window-io", "target_category": "noun.skill_pack", "note": ""}, {"relation": "requires_noun", "target_id": "seedpack.loops-schedules-and-heuristics/loops-schedules-and-heuristics.v0.1.0.guardrail.advice-only-learners-and-rights-cleared-splits", "target_category": "noun.skill_pack", "note": ""}, {"relation": "requires_noun", "target_id": "seedpack.loops-schedules-and-heuristics/loops-schedules-and-heuristics.v0.1.0.spec.schedules-bandit-and-seven-tier-cascade", "target_category": "noun.benchmark_suite", "note": ""}, {"relation": "requires_noun", "target_id": "seedpack.loops-schedules-and-heuristics/loops-schedules-and-heuristics.v0.1.0.rules.six-swappable-learners", "target_category": "noun.reflex_procedure", "note": ""}, {"relation": "requires_noun", "target_id": "seedpack.loops-schedules-and-heuristics/loops-schedules-and-heuristics.v0.1.0.tool.loops-schedules", "target_category": "noun.code_node", "note": ""}, {"relation": "requires_noun", "target_id": "seedpack.loops-schedules-and-heuristics/loops-schedules-and-heuristics.v0.1.0.template.loops-schedules-receipt", "target_category": "noun.scene_recipe", "note": ""}]}}, {"store": "seedpack.loops-schedules-and-heuristics", "key": "loops-schedules-and-heuristics.v0.1.0.guardrail.inert-schedules-and-zero-off-window-io", "expected_version": 0, "producer_surface": "surface:tessera", "visibility_scope": "surface_only", "allowed_surfaces": [], "target_cohorts": ["all"], "tags": ["category:noun.skill_pack", "pack:loops-schedules-and-heuristics", "role:guardrail", "content:authored", "spdx:MIT", "status:quarantined"], "value": {"category_id": "noun.skill_pack", "role": "guardrail", "pack": "loops-schedules-and-heuristics", "pack_version": "0.1.0", "title": "Guardrail: schedule nouns stay inert (auto_enqueued false) and perform zero storage I/O outside active due windows", "category_reason": "Prevents runaway background schedulers and eliminates wasted polling I/O.", "rule": "Schedule nouns claiming auto_enqueued true are rejected, and window checks outside due_start..due_end or at/after stop_at_epoch_seconds return due false with storage_io_ops 0.", "how_it_is_checked": "DeclarativeScheduleAndCadenceCompiler.evaluate_schedule_window raises on auto_enqueued true and returns storage_io_ops 0 off-window.", "status": "proposal", "admission": "not_admitted", "content_kind": "authored_guidance", "license": "MIT", "provenance": {"source": "original ta-amps authored proposal", "license": "MIT", "generator": "scripts/build_packs.py", "independently_verified": false}, "dimensions": {"determinism": 0.0, "evidence_grounding": 0.0, "token_efficiency": 0.0, "safety_compliance": 0.0, "verification_tier": "unverified"}, "dimension_basis": {"measured": false, "method": "unmeasured_floor", "reason": "Tessera requires these axes, so each is set to its lowest value and the tier is unverified. No quality is claimed. Replace them only with measured values and the evidence that produced them."}, "relations": []}}, {"store": "seedpack.loops-schedules-and-heuristics", "key": "loops-schedules-and-heuristics.v0.1.0.guardrail.advice-only-learners-and-rights-cleared-splits", "expected_version": 0, "producer_surface": "surface:tessera", "visibility_scope": "surface_only", "allowed_surfaces": [], "target_cohorts": ["all"], "tags": ["category:noun.skill_pack", "pack:loops-schedules-and-heuristics", "role:guardrail", "content:authored", "spdx:MIT", "status:quarantined"], "value": {"category_id": "noun.skill_pack", "role": "guardrail", "pack": "loops-schedules-and-heuristics", "pack_version": "0.1.0", "title": "Guardrail: swappable learners remain advice-only with valid baselines and rights-cleared family-disjoint splits", "category_reason": "Ensures disabling any learner leaves deterministic baselines intact and blocks restricted or leaking training traces.", "rule": "Every learner stamps advice_only true and keep_baseline_valid true, and rights_cleared_training_manifest blocks contributor-restricted, secret-bearing, non-public or unapproved-license traces while grouping splits by task_family_id.", "how_it_is_checked": "SwappableLearnerAdvisors verifies zero family overlap between train_trace_ids and holdout_trace_ids.", "status": "proposal", "admission": "not_admitted", "content_kind": "authored_guidance", "license": "MIT", "provenance": {"source": "original ta-amps authored proposal", "license": "MIT", "generator": "scripts/build_packs.py", "independently_verified": false}, "dimensions": {"determinism": 0.0, "evidence_grounding": 0.0, "token_efficiency": 0.0, "safety_compliance": 0.0, "verification_tier": "unverified"}, "dimension_basis": {"measured": false, "method": "unmeasured_floor", "reason": "Tessera requires these axes, so each is set to its lowest value and the tier is unverified. No quality is claimed. Replace them only with measured values and the evidence that produced them."}, "relations": []}}, {"store": "seedpack.loops-schedules-and-heuristics", "key": "loops-schedules-and-heuristics.v0.1.0.spec.schedules-bandit-and-seven-tier-cascade", "expected_version": 0, "producer_surface": "surface:tessera", "visibility_scope": "surface_only", "allowed_surfaces": [], "target_cohorts": ["all"], "tags": ["category:noun.benchmark_suite", "pack:loops-schedules-and-heuristics", "role:spec", "content:authored", "spdx:MIT", "status:quarantined"], "value": {"category_id": "noun.benchmark_suite", "role": "spec", "pack": "loops-schedules-and-heuristics", "pack_version": "0.1.0", "title": "Specification: window idempotency keys, fragility half-life decay, AIMD pacing, UCB1 anti-stall and 7-tier compute cascade", "category_reason": "Defines deterministic equations and ordered compute tiers governed by default_grid_spec.json.", "idempotency_key_format": "schedule::", "fragility_urgency_formula": "freshness = 0.5 ** (age_hours / half_life_hours); urgency = importance * (1 - freshness)", "compute_cascade_tiers": ["0_code_shim", "1_local_edge_small", "2_free_dual_t4_batch", "3_serverless_gpu_credit", "4_fast_lora_credit", "5_high_tpm_open_weights", "6_frontier_escalate"], "status": "proposal", "admission": "not_admitted", "content_kind": "authored_guidance", "license": "MIT", "provenance": {"source": "original ta-amps authored proposal", "license": "MIT", "generator": "scripts/build_packs.py", "independently_verified": false}, "dimensions": {"determinism": 0.0, "evidence_grounding": 0.0, "token_efficiency": 0.0, "safety_compliance": 0.0, "verification_tier": "unverified"}, "dimension_basis": {"measured": false, "method": "unmeasured_floor", "reason": "Tessera requires these axes, so each is set to its lowest value and the tier is unverified. No quality is claimed. Replace them only with measured values and the evidence that produced them."}, "relations": []}}, {"store": "seedpack.loops-schedules-and-heuristics", "key": "loops-schedules-and-heuristics.v0.1.0.rules.six-swappable-learners", "expected_version": 0, "producer_surface": "surface:tessera", "visibility_scope": "surface_only", "allowed_surfaces": [], "target_cohorts": ["all"], "tags": ["category:noun.reflex_procedure", "pack:loops-schedules-and-heuristics", "role:rules", "content:authored", "spdx:MIT", "status:quarantined"], "value": {"category_id": "noun.reflex_procedure", "role": "rules", "pack": "loops-schedules-and-heuristics", "pack_version": "0.1.0", "title": "Reference rules for the six advice-only swappable learners", "category_reason": "Zero-model reference evaluators advising workers without replacing deterministic gates.", "learners": ["phrasing_acceptance_uplift", "searchability_scent_ranker", "shim_injection_matched_uplift", "decomposition_split_breakeven", "pairwise_taste_bradley_terry", "rights_cleared_training_manifest"], "advice_only": true, "keep_baseline_valid": true, "model_calls": 0, "status": "proposal", "admission": "not_admitted", "content_kind": "authored_guidance", "license": "MIT", "provenance": {"source": "original ta-amps authored proposal", "license": "MIT", "generator": "scripts/build_packs.py", "independently_verified": false}, "dimensions": {"determinism": 0.0, "evidence_grounding": 0.0, "token_efficiency": 0.0, "safety_compliance": 0.0, "verification_tier": "unverified"}, "dimension_basis": {"measured": false, "method": "unmeasured_floor", "reason": "Tessera requires these axes, so each is set to its lowest value and the tier is unverified. No quality is claimed. Replace them only with measured values and the evidence that produced them."}, "relations": []}}, {"store": "seedpack.loops-schedules-and-heuristics", "key": "loops-schedules-and-heuristics.v0.1.0.tool.loops-schedules", "expected_version": 0, "producer_surface": "surface:tessera", "visibility_scope": "surface_only", "allowed_surfaces": [], "target_cohorts": ["all"], "tags": ["category:noun.code_node", "pack:loops-schedules-and-heuristics", "role:tool_card", "content:authored", "spdx:MIT", "status:quarantined"], "value": {"category_id": "noun.code_node", "role": "tool_card", "pack": "loops-schedules-and-heuristics", "pack_version": "0.1.0", "title": "Tool card: standard-library DeclarativeScheduleAndCadenceCompiler, BanditAntiStallLoopAndResourceHeuristic and SwappableLearnerAdvisors", "category_reason": "Tested Python 3.10+ standard-library package pinned by path and SHA-256.", "name": "loops schedules and heuristics", "code": {"path": "packs/loops-schedules-and-heuristics/code", "files": 13, "sha256": "155a179dd3ea0fa1da7ed083314dd4c656c938ffc692df374d4139da7af4c244"}, "runtime": "Python 3.10 or later, standard library only.", "commands": ["python3 -m loops_schedules --bundle BUNDLE.json"], "does": ["Compiles inert Schedule Nouns into window-keyed idempotency keys, systemd --user templates, fragility urgency ranks and AIMD claim pacing.", "Runs UCB1 + empirical-Bayes arm selection with tombstone suppression, stall-wave query mutation and 7-tier compute cascade selection.", "Evaluates all six advice-only swappable learners including Bradley-Terry taste ranking and family-grouped rights-cleared manifests."], "does_not": ["Spawn background daemons, perform storage I/O outside due windows, admit contributor-restricted traces or embed magic numbers."], "code_license": "MIT", "status": "proposal", "admission": "not_admitted", "content_kind": "authored_guidance", "license": "MIT", "provenance": {"source": "original ta-amps authored proposal", "license": "MIT", "generator": "scripts/build_packs.py", "independently_verified": false}, "dimensions": {"determinism": 0.0, "evidence_grounding": 0.0, "token_efficiency": 0.0, "safety_compliance": 0.0, "verification_tier": "unverified"}, "dimension_basis": {"measured": false, "method": "unmeasured_floor", "reason": "Tessera requires these axes, so each is set to its lowest value and the tier is unverified. No quality is claimed. Replace them only with measured values and the evidence that produced them."}, "relations": [{"relation": "verifies", "target_id": "seedpack.loops-schedules-and-heuristics/loops-schedules-and-heuristics.v0.1.0.spec.schedules-bandit-and-seven-tier-cascade", "target_category": "noun.benchmark_suite", "note": ""}]}}, {"store": "seedpack.loops-schedules-and-heuristics", "key": "loops-schedules-and-heuristics.v0.1.0.template.loops-schedules-receipt", "expected_version": 0, "producer_surface": "surface:tessera", "visibility_scope": "surface_only", "allowed_surfaces": [], "target_cohorts": ["all"], "tags": ["category:noun.scene_recipe", "pack:loops-schedules-and-heuristics", "role:template", "content:authored", "spdx:MIT", "status:quarantined"], "value": {"category_id": "noun.scene_recipe", "role": "template", "pack": "loops-schedules-and-heuristics", "pack_version": "0.1.0", "title": "Template: inert schedule window, fragility urgency, AIMD pacing, UCB1 anti-stall, 7-tier cascade and 6-learner receipt", "describes": "a deterministic receipt of schedule window idempotency, off-window I/O count, urgency top item, AIMD concurrency, UCB1 anti-stall arm, 7-tier compute choices and 6 advice-only learner outputs", "schema": {"type": "object", "additionalProperties": false, "required": ["schedule_auto_enqueued", "due_window_idempotency_key", "due_window_active", "outside_window_storage_io_ops", "top_urgent_item_id", "aimd_next_concurrency", "aimd_action", "selected_arm_id", "suppressed_arm_ids", "plateau_detected", "tier_decisions", "all_learners_advice_only", "learner_headlines", "cleared_train_trace_ids", "cleared_holdout_trace_ids", "blocked_trace_ids", "family_overlap_count"], "properties": {"schedule_auto_enqueued": {"type": "boolean"}, "due_window_idempotency_key": {"type": "string"}, "due_window_active": {"type": "boolean"}, "outside_window_storage_io_ops": {"type": "integer", "const": 0}, "top_urgent_item_id": {"type": "string"}, "aimd_next_concurrency": {"type": "integer", "minimum": 1}, "aimd_action": {"type": "string"}, "selected_arm_id": {"type": "string"}, "suppressed_arm_ids": {"type": "array", "items": {"type": "string"}}, "plateau_detected": {"type": "boolean"}, "tier_decisions": {"type": "object", "additionalProperties": false, "required": ["ast_conformance_gate", "confidential_synthesis"], "properties": {"ast_conformance_gate": {"type": "string"}, "confidential_synthesis": {"type": "string"}}}, "all_learners_advice_only": {"type": "boolean", "const": true}, "learner_headlines": {"type": "object", "additionalProperties": false, "required": ["phrasing", "top_scent", "shim_uplift", "decomposition", "top_bradley_terry"], "properties": {"phrasing": {"type": "string"}, "top_scent": {"type": "string"}, "shim_uplift": {"type": "string"}, "decomposition": {"type": "string"}, "top_bradley_terry": {"type": "string"}}}, "cleared_train_trace_ids": {"type": "array", "items": {"type": "string"}}, "cleared_holdout_trace_ids": {"type": "array", "items": {"type": "string"}}, "blocked_trace_ids": {"type": "array", "items": {"type": "string"}}, "family_overlap_count": {"type": "integer", "const": 0}}}, "example": {"schedule_auto_enqueued": false, "due_window_idempotency_key": "schedule:fragility-recheck-hourly:1970-01-01T02:00:00Z", "due_window_active": true, "outside_window_storage_io_ops": 0, "top_urgent_item_id": "item.decaying-benchmark", "aimd_next_concurrency": 3, "aimd_action": "multiplicative_decrease", "selected_arm_id": "arm.structured-ast", "suppressed_arm_ids": ["arm.refuted-regex"], "plateau_detected": true, "tier_decisions": {"ast_conformance_gate": "0_code_shim", "confidential_synthesis": "3_serverless_gpu_credit"}, "all_learners_advice_only": true, "learner_headlines": {"phrasing": "adopt_candidate_phrasing", "top_scent": "scent.precise", "shim_uplift": "retain_shim", "decomposition": "split_into_dag", "top_bradley_terry": "template.compact"}, "cleared_train_trace_ids": ["trace.public-a1", "trace.public-a2"], "cleared_holdout_trace_ids": ["trace.public-h1", "trace.public-h2"], "blocked_trace_ids": ["trace.contrib-blocked", "trace.secret-blocked"], "family_overlap_count": 0}, "status": "proposal", "admission": "not_admitted", "content_kind": "authored_guidance", "license": "MIT", "provenance": {"source": "original ta-amps authored proposal", "license": "MIT", "generator": "scripts/build_packs.py", "independently_verified": false}, "dimensions": {"determinism": 0.0, "evidence_grounding": 0.0, "token_efficiency": 0.0, "safety_compliance": 0.0, "verification_tier": "unverified"}, "dimension_basis": {"measured": false, "method": "unmeasured_floor", "reason": "Tessera requires these axes, so each is set to its lowest value and the tier is unverified. No quality is claimed. Replace them only with measured values and the evidence that produced them."}, "relations": []}}, {"store": "seedpack.loops-schedules-and-heuristics", "key": "loops-schedules-and-heuristics.v0.1.0.example.loops-schedules-bundle", "expected_version": 0, "producer_surface": "surface:tessera", "visibility_scope": "surface_only", "allowed_surfaces": [], "target_cohorts": ["all"], "tags": ["category:noun.eval_run", "pack:loops-schedules-and-heuristics", "role:example", "synthetic:true", "spdx:MIT", "status:quarantined"], "value": {"category_id": "noun.eval_run", "role": "example", "pack": "loops-schedules-and-heuristics", "pack_version": "0.1.0", "title": "Worked example input: synthetic inert schedule, fragility items, AIMD probe, bandit arms, compute workloads and 6 learner inputs", "category_reason": "Synthetic fixture recomputed by test_loops_schedules.py.", "schedule_noun": {"schedule_id": "fragility-recheck-hourly", "auto_enqueued": false, "cadence_seconds": 3600, "max_jitter_seconds": 0, "due_window_width_seconds": 300, "stop_at_epoch_seconds": 86400, "consecutive_low_yield_windows": 0}, "due_probe_epoch": 7230, "outside_window_epoch": 8500, "fragility_items": [{"item_id": "item.recent-pin", "age_hours": 2.0, "half_life_hours": 48.0, "importance": 0.9}, {"item_id": "item.decaying-benchmark", "age_hours": 48.0, "half_life_hours": 24.0, "importance": 0.95}], "aimd_probe": {"current_concurrency": 6, "prev_ewma_latency_ms": 950.0, "observed_latency_ms": 1300.0, "total_pool_slots": 24, "active_peer_workers": 3, "had_throttle_error": false}, "bandit_probe": {"arms": [{"arm_id": "arm.refuted-regex", "pulls": 4, "reward_sum": 3.5, "signature": "tombstone:refuted01"}, {"arm_id": "arm.structured-ast", "pulls": 12, "reward_sum": 10.5}, {"arm_id": "arm.shallow-grep", "pulls": 12, "reward_sum": 2.0}], "consecutive_zero_yield_waves": 3, "base_query": "audit parameter bounds", "negative_tombstones": ["tombstone:refuted01"]}, "compute_workloads": [{"workload_id": "ast_conformance_gate", "deterministic_eligible": true, "required_capability_rank": 1, "required_context_tokens": 4096, "required_tpm": 5000, "estimated_total_tokens": 8000, "remaining_spend_cap_usd": 0.0, "privacy_tier": "confidential"}, {"workload_id": "confidential_synthesis", "deterministic_eligible": false, "required_capability_rank": 4, "required_context_tokens": 40000, "required_tpm": 150000, "estimated_total_tokens": 20000, "remaining_spend_cap_usd": 0.05, "privacy_tier": "confidential"}], "learners_input": {"phrasing": {"baseline_trials": 12, "baseline_accepts": 6, "candidate_trials": 12, "candidate_accepts": 11}, "scent_candidates": [{"candidate_id": "scent.precise", "text": "window idempotency aimd pacing fragility urgency"}, {"candidate_id": "scent.generic", "text": "miscellaneous helper utilities and notes"}], "scent_queries": ["idempotency aimd fragility"], "shim_strata": [{"pairs": 25, "unshimmed_pass_rate": 0.56, "shimmed_pass_rate": 0.8, "extra_shim_tokens": 120}], "decomposition": {"single_pass_prob": 0.42, "subtask_pass_prob": 0.88, "subtask_count": 2}, "pairwise_comparisons": [{"winner": "template.compact", "loser": "template.verbose"}, {"winner": "template.compact", "loser": "template.verbose"}, {"winner": "template.verbose", "loser": "template.unstructured"}], "training_traces": [{"trace_id": "trace.contrib-blocked", "task_family_id": "fam.01", "contributor_restricted": true, "privacy_tier": "public", "license": "MIT"}, {"trace_id": "trace.secret-blocked", "task_family_id": "fam.02", "contributor_restricted": false, "contains_secrets": true, "privacy_tier": "public", "license": "MIT"}, {"trace_id": "trace.public-a1", "task_family_id": "fam.alpha", "contributor_restricted": false, "privacy_tier": "public", "license": "MIT"}, {"trace_id": "trace.public-a2", "task_family_id": "fam.alpha", "contributor_restricted": false, "privacy_tier": "public", "license": "MIT"}, {"trace_id": "trace.public-h1", "task_family_id": "fam.group-5", "contributor_restricted": false, "privacy_tier": "public", "license": "Apache-2.0"}, {"trace_id": "trace.public-h2", "task_family_id": "fam.group-5", "contributor_restricted": false, "privacy_tier": "public", "license": "Apache-2.0"}]}, "shows": "Synthetic inert schedule, fragility urgency, AIMD pacing, tombstone-filtered UCB1 loop, 7-tier cascade and 6 advice-only learners.", "source": "Synthetic. 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