arXiv doesn’t record affiliation in any usable way the field exists, but it’s filled in about 1% of the time. So there’s no clean way to answer “what did Google publish this month” without scraping. I built paper-radar as a SKILL.md agent skill. Point it at a date range, and it pulls every paper from 28 AI labs (Google, Meta, OpenAI, Anthropic, the usual suspects plus most of the Chinese labs) and splits each lab’s count into two columns: papers they led, and papers where they just show up as a co-author. It matches authors to companies through ROR IDs and email domains, not fuzzy string matching, so it doesn’t hallucinate affiliations. One number that stuck with me while testing it: in a two-week window, Apple appeared on 8 papers and led 0 of them. No ML in it anywhere, stdlib only; it works in Claude Code as a slash command, or you can just run the script directly. GitHub is below if anyone wants to point it at their own date range. GitHub - https://github.com/tigerless-labs/paper-radar submitted by /u/navune
Originally posted by u/navune on r/ClaudeCode