paper-navigator

You can search for academic papers across arXiv and Semantic Scholar using a multi-source discovery workflow that queries Semantic Scholar with an API key and falls back to arXiv. It returns machine-readable data and human-friendly Markdown with TLDRs and citation counts.

Finding recent papers on HuggingFace and GitHub involves using a multi-source discovery workflow that queries these platforms directly for newer work alongside traditional academic databases. It returns structured metadata including citations and venue details for evaluation.

Evaluating and comparing academic papers by citations and venue uses a structured evaluation workflow that filters search results by recency, venue, and citation count. This allows you to compare candidate papers side-by-side to determine relevance.

You need an API key to search Semantic Scholar for papers using its full capabilities, but the workflow provides an arXiv fallback for queries without one. It applies rate-limited API calls with key-based gating to manage access.

You can generate reading notes and a reading plan for academic papers using the reading guidance workflow. It provides reading depth guidance and generates structured notes using a reusable template to accelerate understanding of the discovered literature.

Getting a quick list of 10 to 20 trending papers on a specific topic uses the quick and trending workflows within the discovery process. It coordinates script-driven discovery to return a concise set of recent papers with relevant metadata.