research-lookup

You can gather research evidence by querying structured academic APIs like OpenAlex, Semantic Scholar, arXiv, and Crossref. The lookup tool normalizes results and saves them as structured metadata artifacts for citation management and claim auditing.

The best way to search scholarly APIs is using multi-backend queries with mode-specific expansion and optional filters like recency, venue, and minimum citations. This approach handles rate limits and deduplicates normalized results.

Yes, you can filter literature search results by recency, venue type, and minimum citation count. These quality heuristics help narrow down baseline scouting and ensure you retrieve high-quality technical references.

Yes, literature search supports backend selection with rate-limit handling when querying multiple academic backends. It manages requests across APIs like OpenAlex, Semantic Scholar, arXiv, and Crossref to gather evidence.

To save research evidence for literature review, the tool persists normalized source outputs with structured metadata under the sources/ directory. This ensures audit-friendly artifacts are available for later synthesis and peer review.

Evidence gathering for novelty positioning and experimental planning is needed when preparing claim-support materials or writing evidence-first papers. It locates candidate external evidence like benchmarks and datasets before synthesis.