Bibtex Gen

bibtex-gen — BibTeX Generator (InspireHEP / Google Scholar / CrossRef)

Generate bibtex entries by routing each query to the most authoritative source. The skill is read-only for the user's existing .bib files unless they pass --output, in which case new entries are appended (never overwritten or de-duplicated — that is the user's call).

Routing logic

Each input is classified as HEP or non-HEP, then routed:

Classification rule: a query is HEP iff InspireHEP returns at least one match for it. arXiv IDs additionally check the arXiv API for hep-* / nucl-* categories as a strong pre-signal. The user can override with --hep or --no-hep.

This intentionally aligns with the user's preference:

• HEP citations follow InspireHEP style (Author:YYYYabc keys, journal abbreviations, eprint fields, collaboration tagging).
• Non-HEP citations follow Google Scholar style first; if Scholar is unavailable or returns nothing, fall back to the publisher's bibtex via CrossRef's DOI→bibtex transform.

Inputs accepted

The orchestrator auto-detects the input type:

• arXiv ID — 2301.00001, arxiv:2301.00001, hep-ex/0511032
• DOI — 10.1103/PhysRevD.98.030001, doi:10.1..., https://doi.org/10.1...
• Title — anything else is treated as a title / free-text query
• URL — DOI URLs are parsed; arXiv URLs are normalized to arXiv IDs

Batch mode reads one query per line from a file (# comments and blank lines ignored).

For an OpenAlex-driven discovery → citation pipeline, the orchestrator also accepts --from-search refs.json, where refs.json is the JSON output of the reference-search skill (openalex_search.py --format json). Each result's DOI is extracted (title fallback if no DOI) and routed through the normal HEP / Scholar / CrossRef pipeline — so you can run "find me 10 papers on X" and turn that into a .bib in one extra command. See references/examples.md for the full pipeline recipe.

Bibtex key style

Each source returns its own key style; the skill preserves them verbatim:

• InspireHEP: Smith:2024abc
• Google Scholar: smith2024title
• CrossRef: DOI-suffix style (e.g. Smith_2024)

Do not silently rewrite keys. If the user asks for a unified style, surface it as an explicit follow-up step, not a side effect.

Workflow

1. Confirm the input set. If the user gave a Korean / English list of references, treat each line as one query. If they gave a single phrase, treat it as one query.
2. Decide routing override. If the user said "HEP", "high energy", "장 인용", "물리 논문" etc., pass --hep. If they said "ML 논문", "biology paper", etc., pass --no-hep. Otherwise let auto-classification run.
3. Run the orchestrator:

   uv run bibtex-gen/scripts/bibtex_gen.py "<query>" [--hep | --no-hep] \
     [--output refs.bib]
   

   For batch mode:

   uv run bibtex-gen/scripts/bibtex_gen.py --batch refs.txt --output refs.bib
   

4. Surface the bibtex. Stream to stdout by default. If --output is set, confirm append count to the user.
5. Report failures. Any query that produced no bibtex from any source is listed explicitly. Do not invent a bibtex entry — ask the user to refine the query or supply a DOI.

What this skill does NOT do

• It does not deduplicate entries in the target .bib file. Run a separate pass if needed.
• It does not normalize keys across sources. If the user wants FirstAuthorYear everywhere, ask before doing it.
• It does not fabricate missing fields. If a source returns sparse bibtex (no DOI, no journal), surface it as-is.
• It does not handle paywalled publisher endpoints directly. CrossRef bibtex is the publisher proxy and is sufficient for most journals.

Dependencies

The orchestrator carries PEP 723 inline script metadata declaring scholarly as a dependency. When run with uv run, uv reads that header and provisions an ephemeral environment that includes scholarly — the user does not need to uv add or pip install anything ahead of time.

If the orchestrator is run with a bare python3 (no uv), scholarly may be missing; in that case the Google Scholar path is skipped with a one-line stderr note and non-HEP queries fall through to CrossRef. HEP queries continue to work unchanged via the stdlib-only InspireHEP path.

Source notes (quick reference)

Full source-by-source semantics in references/sources.md. HEP classification heuristics in references/hep_classification.md.

Resources

• scripts/bibtex_gen.py — orchestrator; runnable as uv run scripts/bibtex_gen.py "<query>".
• references/sources.md — per-source API details, response shape, and gotchas.
• references/hep_classification.md — when a query is classified HEP vs non-HEP and how to override.
• references/examples.md — copy-pasteable CLI invocations (single, batch, HEP override, file append, reference-search integration).

Companion skills

• reference-search — OpenAlex-based literature discovery. Use it upstream of this skill when the user has a topic / claim / section in mind but no specific paper picked out. Save its output with --format json, then run bibtex-gen --from-search <file>.json to materialize a .bib.

After creating or updating this skill, suggest starting a new session so the new skill is discoverable from session start.