Guide

A personalized research paper digest for your work

A useful research paper digest should not copy a feed into your inbox. It should help you notice the papers worth opening first, even when new work is scattered across sources, categories, and terminology.

What LitDigest is built to do

LitDigest turns a large stream of new papers and preprints into a smaller weekly digest matched to your research focus.

What a research paper digest should do

Researchers do not need more tabs, feeds, or vague alerts. They need a dependable way to see what changed and decide what to read.

How LitDigest builds your digest

You describe what you work on: the field, methods, systems, or outcomes you care about. LitDigest uses that description to assemble a weekly digest from covered preprint and working-paper sources. It is not a replacement for judgment or literature review; it is a faster way to choose where attention should go first.

Why this can beat a one-off agent query

A general-purpose agent can be useful when you know exactly what to ask. But a single prompt usually explores a narrow, prompt-shaped slice of the literature. LitDigest continuously scans a much broader global pool—hundreds of thousands of new papers and preprints across the sources we cover over the course of a year—then applies your research focus to find the strongest matches.

A chatbot can help answer a question. LitDigest is built to keep watching the wider research stream for you.

How it differs from search alerts

Traditional keyword alerts can be broad and noisy: they may surface papers that share a term without being meaningfully relevant. LitDigest uses your research focus to rank papers for a closer match, so your digest emphasizes specific, high-relevance connections rather than every paper that happens to contain a keyword.

For researchers who primarily need arXiv coverage, see our guide to arXiv email alerts.

Start with a specific research focus

The more specific your description, the better your digest can be. A strong description names the field, the methods or systems you follow, and the kinds of results you would actually open.

For example, "I study subseasonal weather predictability in ensemble forecasts, especially tropical-extratropical interactions and diagnostics that improve forecast skill" is more useful than "weather and machine learning."

Create your research paper digest

Tell LitDigest what you work on. Get the papers most likely to matter, delivered weekly.

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