Search and progressively read academic papers via the DeepXiv SDK.
npx skills add https://github.com/caw111/2026-SoftwareCup --skill deepxiv-caw111
Please help me install this Agent Skill. Skill: deepxiv Source: https://github.com/caw111/2026-SoftwareCup/tree/main/.agents/skills/deepxiv Command: npx skills add https://github.com/caw111/2026-SoftwareCup --skill deepxiv-caw111
This Skill addresses the need for an efficient way to search and progressively read open-access academic papers, offering section-level reading and literature retrieval.
To search and progressively read an academic paper using DeepXiv, use the command: deepxiv "topic of interest"
High-intent search queries and answers about installing and using this skill.
You can search for academic papers and read specific sections using progressive reading features. This approach allows you to access layered levels of a paper, starting with the abstract before moving into detailed sections.
Progressive reading is a layered access method for academic papers that enables section-level reading. It allows researchers to start with an abstract and systematically navigate through deeper sections of open-access literature.
Finding trending academic papers is achieved by searching for your topic of interest using DeepXiv. The retrieval method surfaces relevant open-access literature optimized for your research query.
Yes, you can retrieve open-access literature without reading the entire paper by using layered access. This feature provides different levels of paper access based on your specific research needs and reading depth.
Python scripts and the DeepXiv SDK are utilized for enhanced paper processing and literature retrieval. You initiate the process by commanding a search for your specific topic of interest to retrieve relevant papers.
jkfeeAutomates layered DeepXiv paper discovery and progressive reading workflows.
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davpatel605-beepRetrieve and analyze academic paper metadata from arXiv and Semantic Scholar.
zhuyingqinRetrieve academic paper sections progressively via DeepXiv search and ID lookups.
