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Daily Digest

Keep track of latest hot papers without frequently checking social media

Want to stay current with the latest tech, but only have time to browse n papers each day?

No problem, simply browse the top n results in our daily update.

Every day, we crawl new papers published on major academic paper websites (like arxiv, medrxiv, pubmed) as well as hundreds of conferences/journals. We are eager to share the results with our subscribers on a daily basis! We sort papers by potential impact and generate a one sentence summary for each to capture the paper highlight. Our daily paper digest service started in May, 2018, and has been very well received in the community. Currently, more than 200 areas under the following subjects are tracked: BiologyComputer ScienceEE and System Science, Finance, Health ScienceMathPhysics,  and Statistics.

Sign up for the Daily Paper Digest using your interested areas to get the daily paper update straight to your inbox. You can also choose not to receive emails and instead read the daily updates online.

1 Minute to Sign Up

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Click on  “Get Started” button.

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Tell us your email and interested areas.

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Add Payment info, and click on “Submit” to finish.

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Daily digest will be sent to your email daily and can also be accessed online.

Advanced Setting: Filter by Author and Keyword

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Our default setting is to send you all papers under the categories you signed up with. Many users can browse hundreds of papers everyday using the one-sentence highlight.

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If you do not have time to browse all papers, you can either filter papers using keywords on our console, or update the tracking list by including some authors and keywords.

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When time is limited, users can choose to read the papers that can pass the filters. Such papers are marked with * in email and put in a separate list (called tracking results) online.

example

John Smith signed up with 6 categories: cs.AI; cs.CL; cs.CV; cs.IR; cs.LG; cs.SI, and receive >100 papers under them. He also added two authors and two keywords to tracking list: Michael I. Jordan ; Huan Liu ; multi-task learning ; reinforcement learning’ and receive only ~10 papers in the tracking results.

Daily Digest for Popular Sites

Try out for free without signing up

Arxiv Daily Digest
Biorxiv Daily Digest
Medrxiv Daily Digest

Interested in receiving a one sentence summary of every new paper in your area? Join us as tens of thousands of other people!