Scoop watch

A real example: what you get

Example in Astrophysics Computer science and AI Biology and medicine

6 new papers close to the project “Observing Planetary Gaps in the Gas of Debris Disks”, found in the announcements of its first days

How close it is on each facet: question, method, data, results
What it shares with your project and what stays your own
What to do: cite it, set your project apart, contact the authors, hurry
The prior art of the last three years, and the new papers of the teams you name

Partial overlap

The paper investigates resolved CO cavities in transition disks and considers massive planetary companions as a possible explanation. Its isotopologue-dependent cavity sizes provide a relevant observational comparison for interpreting planetary clearing through CO emission.

CO gaps in cold transition disks around low-mass stars

What stays your own

The project instead tests planet-driven gaps and velocity kinks in gas-bearing debris disks using hydrodynamics, radiative transfer, and simulated observations. Its debris-disk detectability criterion and application to HD 138813 remain distinct from this observational study, which does not establish a planetary origin for the cavities.

The email you would have received · 6 new papers are close to your projects

The first results

CO gaps in cold transition disks around low-mass stars Partial overlap The paper investigates resolved CO cavities in transition disks and considers massive planetary companions as a possible explanation. Its isotopologue-dependent cavity sizes provide a relevant observational comparison for interpreting planetary clearing through CO emission.
CO gaps in cold transition disks around low-mass stars Partial overlap This appears to be the published counterpart of the listed Rota et al. preprint, examining CO cavities in three transition disks and discussing a possible planetary explanation. It offers the same relevant comparison between gas depletion and its appearance in …

4 more results hidden

See a complete example, explained step by step →

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How it works

Describe your project in a few paragraphs (question, method, data, expected results), or upload the PDF of your draft: an AI writes the description from it.
At once, the papers of the last 3 years are searched on arXiv, in the journals and on OpenReview, with those that already cite your key references: you see what is already published close to your project.
Every day, the new papers are compared with each facet of your project apart (question, method, data, results), and with the names that identify it. An AI reads the closest abstracts.
When one overlaps your project, you get an email: a strong overlap (same question, same or very close approach) or a partial one, with how close it is on each facet.
For each paper, the AI says what it shares with your project, what stays yours and what to do: cite it, set your project apart, contact the authors or publish soon. A strong overlap is compared with the full text of the paper when its license allows it.

Follow competing teams, and give your key references: their new papers, and the papers that cite your references, are always read.
Mark a paper as not relevant and similar ones are pushed down; add the close ones to a collection.
Your own papers are never reported: give your name and those of your usual coauthors.
Up to 5 projects watched.
Your description stays private and is only used for the comparison. A PDF is read once and is not stored, unless you ask us to keep its text for the full-text comparisons.

Useful during a thesis or a long project, to know early that a competing team is close, cite it, and adjust how you present your work.