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Arxivist

A daily arXiv feed, ranked to what you actually care about — entirely on your device. Arxivist fetches new papers from arXiv's public feeds and uses an on-device machine learning model to rank them against your research interests, so the papers worth your time rise to the top instead of getting lost in a firehose.

• Ranked feed — new papers scored against your interests using an on-device CoreML embedding model, no server involved
• Three ways to get started — search your own publications on arXiv by author name, describe your interests in keywords, or just explore by category
• arXiv's full category taxonomy across CS, math, physics, statistics, and more
• Save for later — bookmark papers and revisit them offline; recent papers are cached for 14 days, and older days you navigate back to fetch automatically
• Cold-start friendly — no profile yet? You still get a recency-sorted feed with "New Today" badges from day one

Arxivist fetches public data from arXiv and is not affiliated with, endorsed by, or sponsored by arXiv or Cornell University.