Hacker Newsnew | past | comments | ask | show | jobs | submitlogin

Who would want to cite a random unreviewed preprint?


You don't get a free pass to not cite relevant prior literature just because it's in the form of an unreviewed preprint.

If you're writing a paper about a longstanding math problem and the solution gets published on 4chan, you still need to cite it.


In some fields, sure, cite the 4chan source, ideally with an archived link.

Pure math tends to be much more conservative in citations than other fields though, and even when writing a paper about a longstanding math problem you wouldn't necessarily bother to include existing solutions. You reference the things you actually used, and even then you assume some common background knowledge for your audience and don't reference every little undergrad topology theorem or whatever. The point is to be honest with the reader about what was helpful for this work in particular, both to properly attribute things you actually used and to make any searches based on your work more targeted and fruitful.


tbf, you cite the paper that described and discussed said solution in the more appropriate form


You cite the form you encountered and if you're any good of a researcher you will have encountered the original 4chan anon post, Borges' short story, or Chomsky's linguistic paper.


It happens way more than you expect. In my PhD I used to cite unreviewed preprints that were essential to my work but simply for whatever reason hadn’t been pushed to publication. More common for long review like papers


Anyone who found something useful in it and are writing a new paper.

That something is unreviewed does not mean that it is bad or useless.


Maybe other pseudoscientists who agree with the ideas presented and want to create a parallel universe with alternative facts?


And people who care more for gatekeeping will stick to academic echo chambers. The list of community driven medical discoveries encountering entrenched professional opposition is quite long.

Both models are fallible, which is why discernment is so important.


You can do that with reviewed papers too :)




Guidelines | FAQ | Lists | API | Security | Legal | Apply to YC | Contact

Search: