deep-search

A systematic literature review consolidates scattered scholarly papers into an evidence-grounded synthesis. Evidence-backed synthesis works by performing multi-wave retrieval, deep reading PDFs, and structured cross-paper analysis to produce a defensible report.

To extract mathematical equations and key concepts from research PDFs, use a deep search process that downloads full texts and applies equation-level analysis. This yields structured findings and a literature-map diagram visualizing method families and evidence connections.

Yes, this literature discovery process requires PaperCLI as its retrieval backbone. PaperCLI is used to locate, download, and read relevant PDFs during the iterative multi-wave search phase before extracting findings and generating the literature-map.

Yes, you can generate a companion literature-map diagram to visualize method families and evidence connections. This diagram is produced alongside a findings.md report after completing the structured cross-paper analysis of downloaded PDFs.

The best way to consolidate scattered scholarly literature into a defensible report is through iterative multi-wave retrieval using PaperCLI. This method downloads PDFs, extracts key concepts and equations, and produces a validated findings.md with a companion literature-map.

Automated deep search for complex scientific questions is not suitable for simple lookups or non-scholarly sources. This approach is designed specifically for complex scientific queries requiring multi-wave retrieval, deep PDF reading, mathematical extraction, and structured cross-paper analysis.