academic-search

To search academic papers and export BibTeX, use an API-first, two-pass retrieval strategy across arXiv, Semantic Scholar, and PubMed. It extracts structured metadata, deduplicates records via DOI or arXiv IDs, and exports unified BibTeX citations.

Yes, you can retrieve PDFs and metadata from Google Scholar or CNKI using the optional CDP browser automation mode. This fallback activates when API access is unavailable or unreliable for these specific platforms.

The best way to deduplicate arXiv IDs and DOIs during literature discovery is applying a unified metadata schema that normalizes records across platforms. This process harmonizes fields and removes duplicate entries before downstream analysis.

A two-pass academic search strategy works by first returning a lightweight results table for quick scanning. A second-pass deep fetch then retrieves full metadata, including citation counts, abstracts, and code availability, for selected papers.

Yes, you need Node and curl installed as runtime dependencies to execute cross-platform academic search tasks. These environment prerequisites support the API requests and script execution required for metadata retrieval.

Academic search can fail when platform APIs are unavailable due to access restrictions or rate limits. The system mitigates this by switching to a CDP browser fallback mode to directly scrape metadata from sites like Google Scholar.