Retrieve and read open-access academic paper sections by query or arXiv ID.
npx skills add https://github.com/lightrain-a/medtrace-aris --skill deepxiv-lightrain-a
Please help me install this Agent Skill. Skill: deepxiv Source: https://github.com/lightrain-a/medtrace-aris/tree/main/.vendor/aris/skills/deepxiv Command: npx skills add https://github.com/lightrain-a/medtrace-aris --skill deepxiv-lightrain-a
DeepXiv helps you find relevant open-access academic papers and read them progressively without loading full documents too early.
Ask it to read one section of a specific paper by running: /deepxiv "2409.05591" - section: Introduction
High-intent search queries and answers about installing and using this skill.
You can read specific arXiv paper sections progressively by using the deepxiv Skill to fetch brief summaries, map out sections, and query single sections by paper ID. This avoids loading the full document too early, reducing token usage.
Progressive reading is a layered literature retrieval method that scales from search results to briefs, overviews, and single-section reads to reduce token usage. Use it when you need to evaluate open-access academic papers without consuming full document contexts.
You can discover current academic papers and retrieve their metadata by using trending discovery modes and Semantic Scholar lookup. This workflow surfaces relevant open-access literature and fetches available metadata by searching specific IDs.
Yes, you can use Semantic Scholar metadata lookup alongside arXiv ID workflows. The Skill supports fetching briefs and mapping sections by paper ID, allowing you to escalate reading depth only when necessary across both discovery platforms.
The best way to manage a research workflow is to escalate retrieval depth sequentially: search, brief, head overview, and section read. You can optionally ingest these meaningful reads into a research wiki when available to maintain context.
You need DeepXiv adapter resolution via tools/deepxiv_fetch.py, which includes fallbacks to the deepxiv CLI. This environment setup is required to parse arguments for max results and read depth modes during paper retrieval.
jkfeeAutomates layered DeepXiv paper discovery and progressive reading workflows.
matthew-johnsonIngest and organize knowledge into a persistent, interlinked Markdown wiki.
goupup-aiSearch arXiv and Semantic Scholar papers and read sections without full document loads.
raja21068Retrieve open-access academic papers by topic or ID with progressive reading depths.
