literature-search

Broad literature discovery automatically identifies and curates relevant scientific papers for a given topic. It applies deduplication across multiple venues, time ranges, and domains, then ranks results by relevance to recommend papers for ingestion.

Paper deduplication during literature discovery removes duplicate results found across multiple venues and domains. This ensures your final ranked list of candidate papers contains unique entries before making any ingestion decisions.

Yes, literature discovery uses paper_search or rhub-compatible flows to automate broad topic searches. These compatible workflows surface top candidate papers and provide ingestion guidance to integrate them into your research process.

The best way to decide paper ingestion is to use automated relevance ranking. The workflow evaluates discovered scientific papers, applies deduplication, and explicitly recommends which specific papers to ingest into your research workflow.

Yes, the literature search workflow explicitly supports broad discovery across multiple time ranges and domains. It automatically handles venue coverage and deduplication to improve search coverage and efficiency for your topic.