> It doesn't seem humanly possible to produce >2 "high SNR" papers per month.
The situation right now is pretty crazy, for example this established TCS professor [1] has at least 4 arXiv submissions co-authored by him in September [2]. This includes the recent breakthrough on the matroid secretary problem, which has a pretty interesting AI story of its own, if you haven't seen it yet [3].
Of course prolific professors can work around this by working with younger researchers who upload the work, but this just makes the rate limit a solo author bottleneck, which feels a bit weird.
[1]: https://en.wikipedia.org/wiki/Mohammad_Hajiaghayi
[2]: https://arxiv.org/search/cs?query=Hajiaghayi&searchtype=auth...
[3]: Concurrent Discovery Disclosure: The proof of the main result in this manuscript was obtained in a conversation with ChatGPT-6 Astra on Tuesday, September 15, 2026 at 1:02 AM PDT. We then prepared this manuscript for public release, with the intent of uploading it on the morning of Thursday, September 17, 2026. In the early morning hours of September 17, while finalizing the submission, we discovered the manuscript of Abdi, Banihashem, Hajiaghayi, and Mittal, uploaded on September 16, 2026, which contains the same result via an essentially identical approach. We are sharing our manuscript nonetheless in case our exposition is of independent utility to the community, and we hope this experience stimulates broader discussion about concurrent discovery in the AI era. (From https://arxiv.org/abs/2609.20797 .)
The situation is pretty crazy, but it just means the bar for publishable results will go up. Theoretical computer science is a field built around conferences. The number of papers that can be published in reputable conferences ultimately depends on the size of the community and the willingness and ability of its members to attend those conferences.
I don't see what we lose if lead authors are forced to submit work themselves instead of going through the PI's account.
But yes, it'd be nice if arxiv also rate-limited co-author submissions with some higher number to discourage the most flagrant PI co-authorship abuses.