Academic Research

To automate a literature survey, you can orchestrate an end-to-end cycle of academic paper discovery that searches, reads, and rates 8-12 papers per iteration. It extracts per-paper digests and facets to produce structured summaries for quick screening.

Extracting digests and facets from research papers is best handled through batch reading across multiple search queries. This process produces structured summaries and identifies key themes, then scores the papers to highlight top candidates.

Yes, you can screen 8-12 academic papers across 3 queries in a single run. The process enforces a minimum yield with a hard gate to ensure enough relevant papers are surfaced, read, and rated per iteration.

Paper rating during scholarly discovery works by applying standard operating procedures to the search, reading, and extraction stages. It evaluates extracted digests and facets to score each paper, updating domain knowledge to guide subsequent work.

A limitation of automating academic paper discovery is that each cycle targets a quick screening of 8-12 papers per iteration rather than exhaustive coverage. It focuses on the first cycle of discovery, requiring subsequent iterations for deeper domain expansion.