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You can automate daily arXiv paper recommendations by triggering a workflow that fetches recent publications, scores them on relevance and quality, and outputs a ranked top-10 list directly into your notes.

Yes, you can save paper recommendations to your Obsidian vault by triggering a skill that generates a ready-to-use daily note populated with keywords, tags, and links to existing vault notes.

You can score arXiv papers by fetching data from Semantic Scholar and arXiv, evaluating each publication across relevance, recency, popularity, and quality to produce a deterministic ranked list.

Yes, the daily paper discovery workflow supports bilingual output, handling language translation while producing deterministic JSON and Markdown artifacts for your academic research notes.

The best way to organize top academic papers is to use a workflow that generates detailed analyses and attaches the first figure for the top 3 papers, creating a structured markdown summary for your vault.

Yes, you need the Python requests and yaml dependencies to automate paper recommendations, as they are required to fetch arXiv data and format the YAML front matter for your daily markdown notes.