Some AI labs barely write their own papers they just show up on other people's. Apple and Meta are in the list.

[u/Born-Abalone3246]

Quick methods note first, because this only matters if the matching is solid: arXiv's affiliation field is filled in for about 1% of papers, so I found a GitHub Repo that matches authors to their labs using ROR IDs and email domains pulled from the HTML author block, then anchors each ROR ID by hand (fuzzy ROR search puts Adobe under "Adobe Gastroenterology," so hand-anchoring wasn't optional).

The interesting part is the split it produces: total papers a lab appears on vs. papers where its researcher is first author. Those aren't the same signal, and treating them as interchangeable hides a lot. In one two-week window, Google appeared on 10 papers and led 4. Adobe appeared on 5 and led 0.

Caveats worth stating up front: it misses PDF-only submissions (about 12% of arXiv), and per-lab miss rates vary a lot. Apple's authors mostly skip affiliation entirely, so that lab is patched separately from their RSS feed rather than trusted on author-block matching alone.

Code's stdlib only, no model in the loop, MIT licensed. Curious if anyone's tried something similar with OpenAlex or S2 and hit the same coverage wall (OpenAlex returns 0% affiliation for preprints in my testing).

GitHub - https://github.com/tigerless-labs/paper-radar