rxiv scans 242 preprint sources — including bioRxiv, medRxiv, arXiv, and 20+ others — and finds papers relevant to your research. just search your name.
we look up your publications on Semantic Scholar and build an embedding profile using OpenAI's text-embedding-3-small. every preprint in our database is also embedded. we then rank preprints by how similar they are to your publication profile using cosine similarity.
the ranking combines three signals:
these are weighted 50/30/20 and combined into a single score. the top 100 papers are returned.
we pull from 242 sources across 231 RSS feeds and 11 API providers, updated twice daily:
bioRxiv (26 categories) · medRxiv (51) · arXiv (144 — physics, CS, math, q-bio, econ, stats) · PsyArXiv · SocArXiv · EdArXiv · EarthArXiv · EcoEvoRxiv · engrXiv · NutriXiv · PaleorXiv · MetaArXiv · SportRxiv · Research Square · F1000Research · NBER · MPRA · and more.
you can add more than one researcher. their publications are pooled together before computing the profile, so the results reflect the combined interests of a lab or research group.
your researchers are saved in the URL: ?a=3128227,2157025857. bookmark it, share it, or put it on a lab screen. results update every time you visit.
after results load, rxiv shows researchers whose preprints consistently match your profile. these are people working on similar problems — filtered to exclude your existing co-authors.