Search academic papers from multiple sources.

Available sources: arxiv, PubMed, bioRxiv, medRxiv, Google Scholar, IACR ePrint Archive, Semantic Scholar, CrossRef.

Input Constraints:

• query: 1-500 characters, required, cannot be empty

• max_results: 1-100, default is 10

• year: Valid formats: '2019', '2016-2020', '2010-', '-2015' (only for semantic)

• fetch_details: boolean (only for iacr)

• kwargs: dict (only for crossref)

Example:

paper_search([ {"searcher": "arxiv", "query": "machine learning", "max_results": 5}, {"searcher": "pubmed", "query": "cancer immunotherapy", "max_results": 3}, {"searcher": "iacr", "query": "cryptography", "max_results": 3, "fetch_details": true}, {"searcher": "semantic", "query": "climate change", "max_results": 4, "year": "2015-2020"}, {"searcher": "crossref", "query": "deep learning", "max_results": 2, "kwargs": {"filter": "from-pub-date:2020,has-full-text:true"}}, {"query": "deep learning", "max_results": 2} ])

Download academic paper PDFs from multiple sources.

Input Constraints:

• searcher: Required, must be one of the supported platforms

• paper_id: Required, 1-200 characters, cannot be empty

Paper ID formats:

• arXiv: Use the arXiv ID (e.g., "2106.12345").

• PubMed: Use the PubMed ID (PMID) (e.g., "32790614").

• bioRxiv: Use the bioRxiv DOI (e.g., "10.1101/2020.01.01.123456").

• medRxiv: Use the medRxiv DOI (e.g., "10.1101/2020.01.01.123456").

• Google Scholar: Direct PDF download is not supported; please use the paper URL to access the publisher's website.

• IACR: Use the IACR paper ID (e.g., "2009/101").

• Semantic Scholar: Use the Semantic Scholar paper ID, Paper identifier in one of the following formats:

  • Semantic Scholar ID (e.g., "649def34f8be52c8b66281af98ae884c09aef38b")

  • DOI: (e.g., "DOI:10.18653/v1/N18-3011")

  • ARXIV: (e.g., "ARXIV:2106.15928")

  • MAG: (e.g., "MAG:112218234")

  • ACL: (e.g., "ACL:W12-3903")

  • PMID: (e.g., "PMID:19872477")

  • PMCID: (e.g., "PMCID:2323736")

  • URL: (e.g., "URL:https://arxiv.org/abs/2106.15928v1")

Returns:

List of paths to the downloaded PDF files.

Example:

paper_download([ {"searcher": "arxiv", "paper_id": "2106.12345"}, {"searcher": "pubmed", "paper_id": "32790614"}, {"searcher": "biorxiv", "paper_id": "10.1101/2020.01.01.123456"}, {"searcher": "semantic", "paper_id": "DOI:10.18653/v1/N18-3011"} ])

Read and extract text content from academic paper PDFs from multiple sources.

Input Constraints:

• searcher: Required, must be one of: arxiv, pubmed, biorxiv, medrxiv, iacr, semantic, crossref

• paper_id: Required, 1-200 characters, cannot be empty

Example:

arXiv

paper_read({"searcher": "arxiv", "paper_id": "2106.12345", "save_path": "./downloads"}) # paper_id is arXiv ID.

PubMed

paper_read({"searcher": "pubmed", "paper_id": "32790614", "save_path": "./downloads"}) # paper_id is PubMed ID (PMID).

bioRxiv

paper_read({"searcher": "biorxiv", "paper_id": "10.1101/2020.01.01.123456", "save_path": "./downloads"}) # paper_id is bioRxiv DOI.

medRxiv

paper_read({"searcher": "medrxiv", "paper_id": "10.1101/2020.01.01.123456", "save_path": "./downloads"}) # paper_id is medRxiv DOI.

IACR

paper_read({"searcher": "iacr", "paper_id": "2009/101", "save_path": "./downloads"}) # paper_id is IACR paper ID.

Semantic Scholar

paper_read({"searcher": "semantic", "paper_id": "DOI:10.18653/v1/N18-3011", "save_path": "./downloads"}) where paper_id: Semantic Scholar paper ID, Paper identifier in one of the following formats: - Semantic Scholar ID (e.g., "649def34f8be52c8b66281af98ae884c09aef38b") - DOI: (e.g., "DOI:10.18653/v1/N18-3011") - ARXIV: (e.g., "ARXIV:2106.15928") - MAG: (e.g., "MAG:112218234") - ACL: (e.g., "ACL:W12-3903") - PMID: (e.g., "PMID:19872477") - PMCID: (e.g., "PMCID:2323736") - URL: (e.g., "URL:https://arxiv.org/abs/2106.15928v1")

CrossRef

paper_read({"searcher": "crossref", "paper_id": "10.1038/s41586-020-2649-2", "save_path": "./downloads"}) # paper_id is DOI.