Paper Discovery

Paper Discovery searches across arXiv, PubMed, Semantic Scholar, and OpenAlex simultaneously. Define a research question with keywords and sources, set your relevance threshold and paper limit, then run discovery to surface relevant papers from all selected databases at once.

Yes. Paper Discovery streamlines literature reviews by letting you create research questions, run cross-source discovery, filter results by relevance, and export summaries or metadata for downstream analysis and organization.

After discovery completes, list and review articles sorted by relevance, apply filtering to narrow results, then export structured summaries and metadata. This workflow moves papers from raw search results to curated, analyzable datasets.

Yes. Paper Discovery integrates OpenAlex, Semantic Scholar, arXiv, and PubMed. You select which sources to query when creating a research question, and discovery pulls results from all chosen databases.

Create a research question by specifying a topic title, keywords relevant to your area, target sources, maximum paper count, and a relevance threshold. This structured approach ensures discovery returns targeted results aligned with your research scope.

Adjust your relevance threshold, refine keywords, reduce or expand sources, or change max_papers count. Lower thresholds and broader keywords increase result volume; higher thresholds and precise keywords narrow results to higher-confidence matches.