Search arXiv and Semantic Scholar papers and read sections without full document loads.
npx skills add https://github.com/goupup-ai/miccai25 --skill deepxiv-goupup-ai
Please help me install this Agent Skill. Skill: deepxiv Source: https://github.com/goupup-ai/miccai25/tree/main/ARIS/skills/deepxiv Command: npx skills add https://github.com/goupup-ai/miccai25 --skill deepxiv-goupup-ai
Loading full academic papers upfront consumes excessive AI context tokens, and researchers need flexible, layered access to paper content without overloading their workflow or missing key details.
Use the deepxiv skill to search for 3 recent papers on vertebrae segmentation and get a brief summary of the highest-cited result.
High-intent search queries and answers about installing and using this skill.
Section-level reading of arXiv papers allows you to fetch only specific parts like methods or results, saving context tokens and reducing noise without requiring full document loads upfront.
Yes, you can search Semantic Scholar for academic papers by topic, arXiv ID, or Semantic Scholar ID, and browse trending recent papers in your specific field for literature review workflows.
Progressive reading provides layered access to open-access academic papers by retrieving concise briefs and section maps first, preventing excessive token consumption from loading entire documents upfront.
Metadata enrichment provides concise paper briefs, section maps, and published venue metadata during academic paper search, helping you quickly assess paper relevance before committing to deep reading.
No, progressive paper reading operates independently through adapter and CLI fallback mechanisms, though it supports integration with research wiki systems for enhanced literature review workflows.
Search by topic to discover multi-source papers, retrieve metadata enrichment to identify published venues and briefs, then use section-level reading to analyze the methods of the highest-cited results.
ToqsickSearch arXiv by keywords or IDs and retrieve abstracts and full papers.
dogekikiRetrieve academic papers and analyze sections via DeepXiv and arXiv.
Mang30Search and progressively read open-access academic papers through DeepXiv.
OlikelysSummarize and analyze academic papers using a 20-dimensional framework.
