daily-papers-fetch

To discover and filter new arXiv research papers, this Skill fetches the latest entries from the arXiv and HuggingFace APIs and ranks them using your configurable keywords and domain boosts. It outputs a curated list of relevant papers.

Yes, you can backfill historical arXiv papers. The Skill supports multi-day fetching and historical backfilling to ensure you receive a minimum number of results when the daily yield is insufficient.

Keyword scoring for literature reviews works by applying your user-defined keywords, negative keywords, and domain boosts to rank newly fetched papers. This filtering mechanism prioritizes the most relevant academic search results for your specific research topic.

When fetching papers from HuggingFace and arXiv, the metadata enriched includes author names, institutional affiliations, and figure URLs. This provides comprehensive details for your selected research papers.

No, this paper discovery tool does not require external API dependencies. It operates independently using internal scripts to directly query the public arXiv and HuggingFace APIs for gathering and scoring research papers.

The best way to get a daily curated list of AI research papers is to run this Skill, which gathers papers from HuggingFace trending and arXiv APIs, scores them against your keywords, and returns the top entries enriched with metadata.