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Automating daily arXiv paper discovery involves searching and ranking recent papers, then generating structured daily recommendation notes with linked summaries and visuals. This skill pulls and merges papers from the last 30 days to output a ready-to-read digest of the top 10 articles.

Yes, you can use Semantic Scholar to find high impact papers from the past year for your research notes. The workflow merges these high-impact papers with recent arXiv listings, scoring them by relevance, recency, and quality to generate your daily digest.

The best way to create a daily research digest with linked summaries is to apply an end-to-end workflow covering discovery, filtering, scoring, and note creation. This process generates a daily overview, paper entries, and direct note links for the top 3 detailed analyses.

Keyword linking for research notes works by mapping paper keywords to existing notes in your Vault. This automated feature builds a relationship network between your daily paper entries and your current knowledge base, enhancing discoverability without manual cross-referencing.

Yes, you need pyyaml and requests installed to run the daily paper workflow. These dependencies support the underlying scripts responsible for fetching arXiv and Semantic Scholar data and processing configurations to generate your structured notes.