Retrieve open-access academic papers by topic or ID with progressive reading depths.
npx skills add https://github.com/raja21068/AutoResearch --skill deepxiv-raja21068
Please help me install this Agent Skill. Skill: deepxiv Source: https://github.com/raja21068/AutoResearch/tree/main/skills/aris/deepxiv Command: npx skills add https://github.com/raja21068/AutoResearch --skill deepxiv-raja21068
DeepXiv search and progressive reading removes the time sink of loading full papers too early by letting you quickly find relevant work and then escalate depth only when needed.
Use case: you need background on a specific method and want to gather enough evidence for your literature review without downloading and reading entire PDFs.
Ask for: /deepxiv "2409.05591" - section: Introduction to retrieve only the Introduction section from that paper.
High-intent search queries and answers about installing and using this skill.
You can search arXiv and Semantic Scholar metadata by topic or paper ID, then progressively retrieve a brief, head, or named section to avoid loading full PDFs unnecessarily. Escalate depth from search to brief to section only when needed.
Progressive reading lets you fetch academic papers at brief, head, or section depth, minimizing token usage by escalating from search to brief to section. This avoids loading full open-access papers until you confirm relevance.
You can browse trending papers and search across arXiv, DeepXiv, and Semantic Scholar metadata workflows. Use layered discovery to fetch briefs first, then escalate to head or section depth for targeted evidence gathering.
An ARIS adapter script is preferred for DeepXiv-compatible retrieval but is not strictly required. The system uses fallback-aware retrieval, falling back to the DeepXiv CLI when the adapter is unavailable.
Yes, you can retrieve a specific named section like the Introduction by providing the paper ID and specifying the section depth. This targeted section retrieval avoids loading the entire paper when you only need specific evidence.
Progressive reading is limited to open-access papers from arXiv, DeepXiv, and Semantic Scholar. It enforces depth-escalation to minimize full-paper loading, meaning you cannot bypass brief or head levels to jump directly to full content.
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