literature-search

To search academic papers across multiple engines, this Skill orchestrates queries across Semantic Scholar, arXiv, Google Scholar, and others, returning a deduplicated, ranked list of results with full metadata.

Yes, you can retrieve abstracts and PDF links. The literature search extracts rich metadata including authors, venue, year, abstract, and PDF links from each aggregated academic paper.

The best way to deduplicate and rank academic papers is using a multi-engine orchestration tool that aggregates results and ranks them by citations, recency, and venue.

Yes, this literature search supports tracking state-of-the-art work. It applies multi-engine orchestration to aggregate academic papers across specific venues, authors, and dates.

If a search engine fails during the literature review process, the Skill implements engine-specific fallbacks to ensure continuous metadata extraction and result aggregation.