Paper Search (arXiv + Semantic Scholar + OpenAlex)

How to connect

• search_papers

  Search academic papers. Returns normalized hits with a short abstract preview; call get_paper for the full record.

• search_all

  Aggregated search across arXiv, Semantic Scholar and OpenAlex at once. Fans out concurrently, de-duplicates the same work across corpora (by DOI or title) and re-ranks with Reciprocal Rank Fusion, so papers found by several sources rank highest. Each hit lists which `sources` found it and an `ids` map ({source: id}) you can pass to get_paper / read_paper / the citation tools. Prefer this over search_papers for a broad lookup.

• search_medical

  Evidence-graded MEDICAL literature search (PubMed + Europe PMC). Unlike search_all (generic, ranks high-cited reviews/guidelines above trials), this filters by research type via PubMed Publication-Type tags and re-ranks by the evidence pyramid (meta-analysis / systematic review > RCT > cohort > ...), so the actual clinical trials surface first. Open-access full text is pulled from Europe PMC by PMID. `query` should be English keyword/boolean text (PubMed maps it); do natural-language/multilingua

• get_paper

  Fetch one paper by id, with full abstract and PDF link.

• search_by_author

  Find papers by a specific author, newest first.

• list_recent

  List the latest papers in a subject category, newest first.

• list_categories

  List common subject category codes for filtering/recent.

• read_paper

  Read a paper's full text. format='markdown' (default, body with formulas as $LaTeX$), 'html' (raw LaTeXML HTML), or 'latex' (the original LaTeX manuscript from the e-print source). arXiv only; id like 2401.01234.

• list_paper_sources

  List available paper corpora.

• recognize_formula

  Recognize a math formula from an image and return LaTeX. Provide image_url (downloaded server-side) OR image_base64. model: deepseek-ocr (default), paddleocr-vl, or texify. Returns {latex, model, elapsed_ms}.

• recognize_table

  Recognize a table from an image and return LaTeX tabular code. Provide image_url OR image_base64. model: deepseek-ocr (default), paddleocr-vl, or texify. Returns {latex, model, elapsed_ms}.

• list_ocr_models

  List the OCR models available for recognize_formula / recognize_table.

• get_paper_citations

  Semantic Scholar: papers that CITE this one (forward citation graph). id accepts S2 id / DOI: / ARXIV: / CorpusId:.

• get_paper_references

  Semantic Scholar: papers this one REFERENCES (its bibliography). id accepts S2 id / DOI: / ARXIV: / CorpusId:.

• get_paper_authors

  Semantic Scholar: the authors of a paper (with h-index, paper/citation counts).

• match_paper_title

  Semantic Scholar: find the single paper whose title best matches the given text (exact-match lookup).

• autocomplete_papers

  Semantic Scholar: autocomplete paper titles for a partial query (fast type-ahead).

• search_papers_bulk

  Semantic Scholar: bulk paper search (up to 1000 hits, sortable e.g. 'citationCount:desc' or 'publicationDate:desc', with a continuation token). Filters: fields_of_study, year (e.g. '2020-2024'), venue, publication_types, open_access_pdf.

• get_papers_batch

  Semantic Scholar: fetch many papers at once by id (S2/DOI:/ARXIV:/CorpusId:), up to ~500 per call.

• search_authors

  Semantic Scholar: search for authors by name; returns profiles with h-index and paper/citation counts.

• get_author

  Semantic Scholar: a single author's profile by id.

• get_author_papers

  Semantic Scholar: all papers by a given author id, newest first.

• get_authors_batch

  Semantic Scholar: fetch many authors at once by id.

• search_snippets

  Semantic Scholar: search INSIDE paper full text and return matching text snippets (not just titles/abstracts).

• recommend_papers_for_paper

  Semantic Scholar: recommend papers similar to one paper. pool='recent' (last open corpus) or 'all-cs' (all of CS). If the 'recent' pool yields nothing (common for older papers), it automatically retries the 'all-cs' pool.

• recommend_papers_from_examples

  Semantic Scholar: recommend papers from positive (and optional negative) example paper ids.

• list_dataset_releases

  Semantic Scholar Datasets: list all available release ids (dated snapshots of the full corpus).

• get_dataset_release

  Semantic Scholar Datasets: which datasets a release contains (papers, abstracts, citations, embeddings, s2orc, tldrs…). release_id defaults to 'latest'.

• get_dataset_download_links

  Semantic Scholar Datasets: get download links (presigned URLs) for one dataset in a release. Needs the API key.

• get_dataset_diffs

  Semantic Scholar Datasets: incremental diff (added/updated/deleted) for a dataset between two releases. Needs the key.

• get_openalex_work

  OpenAlex: fetch one work's full record (316M-work, all-field corpus). id accepts OpenAlex Wxxxx, a DOI, or an arXiv id.

• get_openalex_citations

  OpenAlex: papers that CITE this work (forward citation graph), most-cited first.

• get_openalex_references

  OpenAlex: the works this one REFERENCES (its bibliography).

• search_openalex_authors

  OpenAlex: search authors; returns profiles with h-index, i10-index, works/citation counts and institutions.

• search_openalex_institutions

  OpenAlex: search institutions (universities, labs) with ROR id, country, works/citation counts.

• search_openalex_works

  OpenAlex: advanced filtered work search. Filters: from_year, to_year, is_oa (open access only), min_citations, institution_id. sort_by: relevance|newest|cited.

• get_openalex_trends

  OpenAlex: publication-trend analytics for a query — counts grouped by year (default), or by 'institutions.id', 'authorships.author.id', 'open_access.is_oa', 'type', 'language'. Returns aggregate counts only (cheap, no rows).

• list_openalex_topics

  OpenAlex: search the topic taxonomy (~4500 topics) to find the right subject term for filtering or recent-work queries.

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