scripts/librarian_promote.py gains a --accept flag that copies the generated draft to the suggested docs/research/ target in the same invocation. This is explicit per-invocation opt-in, not auto-apply: the operator types --accept knowingly, the cp is still a deliberate acceptance decision, just expressed in one command instead of two. docs/research/option-a-bench-result.md is the first promoted note, generated by gemini from docs/archive/option-a-bench-result-2026-05-07.md and accepted verbatim. Spot-check verified that cited file:line locations match current source (traversal.pyx:473-475 and inference_server.py:226-228 carry the cited code), the Last-verified header reflects today's date and HEAD, and the durable conclusion (sync-blocking policy boundary as the structural ceiling, not IPC plumbing) is preserved. This closes the end-to-end loop the librarian was designed for: oversize check surfaced docs/performance.md, the routing pass split durable analysis into the archive entry, the promote dispatcher turned the archive entry into a research draft, and the human accept step landed it as a tracked research note. Took one LLM call. Removes the now-resolved ignore-list entry for docs/research/option-a-bench-result.md (the file exists; the forward reference is real). scripts/librarian.sh exits 0 against the working tree. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
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# Ignore patterns for scripts/librarian_check_citations.py.
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#
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# One fnmatch glob per line. Citations matching any pattern are
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# silently skipped — use sparingly, only for citations that are
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# genuinely intentional (planned future files, design references)
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# rather than drift you can fix.
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#
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# Format examples:
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# scripts/foo.sh # exact path
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# configs/deep_cfr/model-*.yaml # glob
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# docs/research/*.md # whole directory
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#
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# Comments after `#` are stripped per line. Blank lines ignored.
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# Future config + script described in docs/plans/model_size_experiment.md
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configs/deep_cfr/model-size-*.yaml
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scripts/run_model_size_experiment.sh
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# Future config described in docs/plans/torch_compile.md
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configs/deep_cfr/default_compile.yaml
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