You didn't pick your co-author very well, but arXiv lacks investigative powers to determine which co-author did the bad, so they all get the consequence.
Again, I'm not in academia, but most of the papers I see have two to five authors; maybe I've seen one or two with ten authors.
Regardless, if I'm signing my name on something, I check it out.
A reference that doesn't exist is like a source release that doesn't compile. Any one of the 100 person team could have figured it out but no one did. In a 100 person team you get diffuse responsibility dynamics where checking citations is not assigned to specific people so no one does it. Or perhaps it's assigned to a single person who was also in charge of writing the citations and falsified them rather than doing the work.
Responsibility really is diffuse. That's the nature of things. On a 100-author paper, 80 people are there because they worked on the upstream data source. 15 are there because they gave advice to the primary author. 3 are there because they wrote individual sections or appendices. 1 is there because they proof-read the paper and made general suggestions. 1 is there because they led the work and wrote the paper.
Now, do you actually think every one of those people is going to go through all 75 citations in the paper and carefully check that the bibliographic information is correct, and that every citation is correctly summarized? This is not a one-liner like checking if a project compiles. This is hours and hours (or more realistically, several days) of work.
You have an idealized view of how science works that is just not in line with reality.
You’re right that a single hallucinated line is not evidence of reckless disregard - because that could have happened on a final follow-up pass after you had performed due diligence. It’s happened to me. I know how challenging it can be to keep bad patterns out of LLM generated output, because human communication is full of bad patterns. It’s a constant battle, and sometimes I suspect that my hard-line posture actually encourages the LLM to regularly “vibe check” me! E.g. “Are you sure you’re really the guy you’re trying to be? Because if you are you wouldn’t miss this.” LLMs are devious, and that’s why I respect them so much. If you think they’re pumping the breaks then you should check again, because they probably just put the pedal to the metal.
That being said, I regularly insist on doing certain things myself. If I were publishing a paper intended to be taken seriously - citations would be one of the things I checked manually. But I can easily see myself doing a final follow-up pass after everything looks perfect, and missing a last minute change. I would hope that I would catch that, but when you’re approaching the finish line - that’s when you expect your team to come together. That’s when everything is “supposed to” fall into place. It’s the last place you would expect to be sabotaged, and in hindsight, probably the best place to be a saboteur.
It absolutely is.
> - because that could have happened on a final follow-up pass after you had performed due diligence.
A "final follow-up pass" that lets the LLM make whatever changes it deems appropriate completely negates all the due diligence you did before, unless you very carefully review the diffs. And a new or substantially changed citation should stand out in that diff so much that there's no possible excuse to missing it.
> It’s happened to me.
Then you were guilty of reckless disregard.
> I know how challenging it can be to keep bad patterns out of LLM generated output
If your research paper contains any LLM generated output you did not manually vet, you are a hack and should not get published.
You can only get in this situation if you let a bullshit generator write your paper, and the fraud is that you are generating bullshit and calling it a paper. No buts. It's impossible to trigger this accidentally, or without reckless disregard for the truth.
I don't see anyone excusing hallucinated citations. I see people arguing that this is an overreaction by the arXiv. AI is going to become a major part of research, including in writing papers. It would be better if people would freak out a little less about that fact.
If the author just wanted to add a citation to some canonical paper (like "Attention is all you need") at the last minute, used LLM autocomplete to do it, and didn't carefully check that the citation was correct, then a year-long ban is a massive overreaction. A careless miscitation is not on the same level as something like data manipulation.
In general, I think everyone needs to be practical about what the actual risks are of LLM use. Are we worried about true nonsense flooding the arXiv? Or are we worried about tracking authorship when LLMs are involved? What's the actual concern?
They're explicitly not writing papers. The fake citations are created and inserted by the LLM
If the bread is moldy in one spot, throw out the whole loaf, because the same invisible process that produced the mold spot is taking place throughout the loaf.
And flatly, if a person can't be bothered to check their damn work before uploading it, why should anyone else invest their time in reading it seriously?
The people I worry for are the junior researchers who are going to be splash damage for dishonest PIs. The PIs, though, deserve everything that’s coming for them.
However, we can have zero tolerance for certain techniques for "writing" a paper. Plagiarism and inventing data are already examples of this, if there is evidence for these techniques being used there is no excuse. We could say the same for AI references - any writing process that could produce these is by definition not a technique we want.
So the mistake isn't not checking a reference the AI gave. The mistake is letting the AI make references for you.
If we agree that academic research is important then I think we can impose certain standards on how you do it. We can dissalow certain tools if that means we can't trust the output. Just like an electrician can't use certain techniques, even if they're easy, because we don't trust the final result.