multi-source-paper-search

Cross-referencing literature across OpenAlex, Semantic Scholar, and arXiv is done by fanning out queries to each source, normalizing the results, and applying deterministic deduplication via DOI or arXiv-id to produce a consolidated synthesis report.

Identifying consensus and contested findings in a literature review requires cross-validating claims across multiple sources like Semantic Scholar and Perplexity, then synthesizing the triangulated results to highlight converging and diverging points with source attribution.

Deduplication when scanning multiple academic databases uses union-find logic to match overlapping records by DOI, arXiv-id, or title, ensuring duplicate papers retrieved from OpenAlex and arXiv are merged into single entries with accurate provenance.

Cross-source literature scans are well-suited for rapid scoping of grant proposals, as they aggregate and deduplicate findings across OpenAlex and Perplexity to quickly map the research landscape and identify existing consensus.

Generating a cited report with provenance across multiple disciplines involves expanding queries, fanning out to OpenAlex and arXiv, cross-validating claims, and outputting a narrative synthesis with attached references and source attribution.

Perplexity is needed alongside OpenAlex and Semantic Scholar for triangulating findings because it provides a narrative synthesis layer that cross-validates claims, reducing bias and gap risk when identifying contested findings.