Last updated: September 30, 2026
ResearchLens is a free, no-account tool that turns a machine learning topic into a structured research report by searching public paper metadata (arXiv, OpenReview, Semantic Scholar), ranking candidates by relevance, and scoring them on reproducibility signals. By using it, you agree to these terms.
There is no sign-up, no login, and nothing to buy. Every visitor uses the same anonymous, shared tool, subject to the rate limit described below.
Reports are generated automatically from third-party metadata using our own relevance-ranking and reproducibility-scoring heuristics. They are meant to help you triage which papers to read first — they are not peer review, not a certification of reproducibility, and not a substitute for reading the source paper. Scores and summaries can be wrong, incomplete, or based on stale metadata from the underlying provider. Always verify anything you rely on against the original publication.
We do not own or claim rights over the papers, abstracts, author lists, or citation counts surfaced in a report — that content belongs to its original publishers and authors (arXiv, OpenReview, Semantic Scholar, and the papers' authors). ResearchLens only adds a relevance ranking, a reproducibility score, and a generated summary layout around metadata it does not own.
The search endpoint is rate-limited per client to keep the service available for everyone and to respect the usage limits of the third-party APIs it calls. Do not attempt to automate bulk scraping of this tool or circumvent its rate limits.
ResearchLens is provided "as is," without warranty of any kind, express or implied. We do not guarantee uptime, result accuracy, or that any specific paper's reproducibility score reflects what you'll experience trying to reproduce it. To the extent permitted by law, we are not liable for decisions made based on a generated report.
These terms may change as the product changes. Continued use after an update means you accept the revised terms; the "Last updated" date above reflects the latest revision.
Questions can be raised via the project's GitHub. See also our Privacy Policy.