paper_related_works

To map a research paper's related works, this skill extracts cited references as predecessors and retrieving citing papers as successors, organizing them into a structured citation graph for literature reviews.

Building a predecessor and successor graph involves crawling a target paper's references and retrieving its citing works, then classifying them into taxonomy categories like foundations, baselines, and concurrent research.

The best way to classify academic papers into a research taxonomy is to extract predecessor and successor metadata, categorizing them into structural roles like foundational works, baselines, and components to identify research lineage.

Yes, you can extract references and citations automatically from scholarly papers with accessible metadata and PDFs, enabling automated research tracking and generating a navigable report with source links.

Yes, this citation mapping approach works for grant proposals and research planning by highlighting foundational works, key continuations, and potential research gaps within a structured related-works network.