From the first paper to your next submission

Your AI research companion

Understand papers, keep up with your field, and check your references before submitting.

AI paper summaries, research digests and tools built around your scientific workflow.

Try an example Premium · US$9 / month

Built around your research

What are you working on today?

All research tools

Free to start

Understand a paper

Find the question, the main results and the limits. Ask follow-up questions about one paper or several.

AI summaries · Paper assistant

Explore a paper

Free with an account

Keep up with your field

Receive new papers from the categories you follow, with short summaries. Choose a daily or weekly rhythm.

Daily Digest

Set up my free digest

Premium+

Explore a research question

Ask a question. Get 15 to 30 founding and recent papers, grouped by approach, with a synthesis that cites them.

Literature review

Start from a question

Premium

Check before submitting

Spot references to review and find related research your draft does not cite.

Bibliography Check · What Did I Miss?

See a reference-check example

Bibliography Check What Did I Miss?

Premium

Watch research close to yours

Describe your project. Get an email when new arXiv, bioRxiv or medRxiv papers overlap with it.

Scoop Watch

Discover Scoop Watch

See what you can do

A useful next step, made concrete

Illustrative previews based on a published paper. Explore a live summary or set up your own digest to try the tools.

01 / Understand

Attention Is All You Need

Vaswani et al. · 2017 · arXiv:1706.03762

The question: Can attention alone support a strong sequence-to-sequence model?
The main idea: The Transformer replaces recurrence and convolution with attention. The paper evaluates it on translation tasks.
A point to check: Results on these benchmarks do not establish performance on every language or task.

Editorial reading example based on the abstract. Read the source ↗

Open a ready-to-read AI summary →

02 / Check references

A preprint has a published version

Your reference

Vaswani et al., 2017
arXiv:1706.03762

Publication to review

Advances in Neural Information Processing Systems 30 (2017)

Review the published record and update your bibliography when appropriate.

Illustrative check, verified against the proceedings. Publication record ↗

Explore Bibliography Check → Premium

03 / Keep up

Your reading list, in your inbox

Daily Digest cs.CL · cs.LG

Attention Is All You Need

A model built around attention for sequence-to-sequence learning. This paper introduces the Transformer and evaluates machine translation performance.

Source paper ↗

Example email layout using a 2017 paper. Your digest follows newly announced papers in your selected categories.

Set up my free digest →

For the research you do every day

Go further with Premium

Check your bibliography, find related work missing from your draft, and monitor research close to your project.

Bibliography Check and What Did I Miss?
Scoop Watch and a digest ranked for your research
Our most capable model and no daily summary limit

US$9 / month

See Premium tools

Cancel anytime in one click
Payments handled by Stripe

Grounded in scientific literature

Research papers, with their sources

arXiv · Journals via DOI · bioRxiv · medRxiv · HAL · OSF · PubMed

When a license permits it, summaries use the full text. Otherwise they use the abstract and say so. AI output is a starting point: check the original paper for your research decisions.

How the summaries work →Meet the researcher behind SummarizePaper →Explore the open-source code ↗

Recently summarized research papers

eess.SY