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While I generally agree with this policy, the focus on hallucinated citations specifically makes me uncomfortable: I usually get my BibTeX from Google Scholar. Yes, GS is sometimes wrong. No, I don't carefully check my references. Is using AI to fill in references really morally any different?

Mark Riedl@markriedl.bsky.social

ArXiV has a new LLM policy (Screenshots with alt text so you don’t have to click through to the other place and see all the stupid responses)

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I generally agree with this statement. Mistakes in references are not the lightning rod of improper science that recent policies make them out to be. Moreover, an entirely made-up reference is not the same thing as a reference with errors.

I guess the silver lining is that if these policies persist, good tools will be created for checking references and we can all more easily find the small errors that until now have largely gone unnoticed.

This policy as stated wouldn’t ban you over a dead link, but you should check (all of) your references enough to know that they exist. Or do you have a different failure mode in mind?

Here's an example of a "hallucinated" citation from a decade ago (i.e. pre-LLMs). The same bad citation appeared in multiple papers. I eventually traced the source to Google Scholar (and it's now fixed).

That’s not a hallucinated citation. There’s a real paper of that name by those authors. I’m not sure if you’re aware, but LLMs have been generating “citations” of papers that literally do not exist. If you typed the purported title and authors into google, nothing would come up, unlike this paper.

Not "by those authors." The point Thomas is making (which tbh I find quite minor, but it's a point nonetheless) is that there is *no* such real paper by an author named "Marcus Hardt". The author name is wrong. Would that be flagged by the arXiv's soon-to-be checking system?

The mistake/typo and paper not existing are different thing. People regularly making mistakes, but as long as paper is googlable and existing, that is just mistake. I am sympathetic to the idea which you are defending, but the example is just ridiculous.

Even publisher-provided references are not always flawless, but surely that is not what we're talking about here. The chatboxes make up titles that don't exist, listing purported authors that have never written those papers. Surely if there is anything we can ban outright, it should be that?

On a different note, it's strange that AI currently seems really bad at the simple task of filling in BibTeX entries. I assume that will get fixed soon. (In which case this discussion becomes moot.)

Sometimes w LLM-generated refs, the nature of the error suggests that it was not just used to fill in a bibtex entry, but rather to sidestep the scholarship and cognitive work that goes into choosing what to cite and what it means in the first place.

I think the only important think is the doi. Once you have the doi you can get the bib entry via doi2bib. I think its reasonable to expect authors to verify the doi of the papers they cite...

Citing a paper that you haven’t read is sketchy at best. Getting the details of a citation wrong is understandable, but getting authors, title, or journal name wrong just points to highly questionable practices.