The PDF is the original paper, as it appears on arXiv, so using PDF is natural.
In general academics prefer PDF to HTML. In part, this is just because our tooling produces PDFs, so this is easiest. But also, we tend to prefer that the formatting be semi-canonical, so that "the bottom of page 7" or "three lines after Theorem 1.2" are meaningful things to say and ask questions about.
That said, the arXiv is rolling out an experimental LaTeX-to-HTML converter for those who prefer HTML, for those who usually prefer PDF but may be just browsing on their phone at the time, or for those who have accessibility issues with PDFs. I just checked this out for one of my own papers; it is not perfect, but it is pretty good, especially given that I did absolutely nothing to ensure that our work would look good in this format:
https://arxiv.org/html/2404.00541v1
So it looks like we're converging towards having the best of both worlds.
Some history: https://www.arxiv-vanity.com/
The tooling producing PDF by default absolutely makes the preference for PDF justifiable. However, tooling is driven by usage - if more papers come with rendered HTML (e.g. through Pandoc if necessary), and people start preferring to consume HTML, then tooling support for HTML will improve.
> But also, we tend to prefer that the formatting be semi-canonical, so that "the bottom of page 7" or "three lines after Theorem 1.2" are meaningful things to say and ask questions about.
Couldn't you replace references like "the bottom of page 7" with others like "two sentences after theorem 1.2" that are layout-independent? This would also make it easier to rewrite parts of the paper without having to go back and fix all of your layout-dependent references when the layout shifts.
HTML has strong advantages for both paper and electronic reading, so I think it's worth making an effort to adopt.
When I print out a paper to take notes, the margins are usually too narrow for my note-taking, and I additionally have a preference for a narrow margin on one side and a wide margin on the other (on the same side, not alternating with page parity like a book), which virtually no paper has in its PDF representation. When I read a paper electronically, I want to eliminate pagination and read the entire thing as a single long page. Both of these things are significantly easier to do with HTML than LaTeX (and, in the case of the "eliminate pagination" case, I've never found a way to do it with LaTeX at all).
(also, in general, HTML is just far more flexible and accessible than PDF for most people to modify to suit their preferences - I think most on HN would agree with that)
Yes, but I think such references are inherently harder to locate. Personally I try to just avoid making references to specific locations in the document and instead name anything that needs to be referenced (e.g. Figure 5, Theorem 3.2).
I generally stick to PDF myself, but I do sometimes wish it would be more ergonomic to reflow a 2-column paper for reading on mobile on the go, for example. Also, ePub is easier to read in night mode than PDF recoloring, and seems easier to search through (try searching for a Greek letter in a PDF…).
EDIT: How is the math support in ePub though? Are people embedding KaTeX/MathJax or just relying on MathML, and how is the quality compared to TeX?
I'm guessing there are few web pages of any significance which need to stay exactly the same for a long time. Here is one example which I've seen trotted out from time to time on HN:
https://www.dolekemp96.org/main.htm
This is clearly the exception. It seems that maintainers of web pages usually expect that they'll need to maintain and update them for as long as they want them to be accessible, and that's definitely not something I'd care to do for research papers.
Just thinking about having to change layout-dependent references, every time I add two sentences to the introduction, gives me a migraine.
I never do anything like this in the paper itself, nor does anyone else that I'm aware of. I'm thinking of informal discussions, where I ask another mathematician about something specific in a paper.
The HTML version is seriously buggy; and the worst part is, a lot of those bugs take the form of silently dropping or hiding content. It's bad enough when half the paper is gone, because at least you notice that quickly, but it'll also do things like silently drop sections or figures, and you won't realize that until you hit a reference like 'as discussed in Section 3.1' and you wonder how you missed that. I filed like 25 bugs on their HTML pages, concentrating on the really big issues (minor typographic & styling issues are too legion to try to report), and AFAIK, not a single one has been fixed in a year+. Whatever resources they're devoting to it, it's apparently totally inadequate to the task.
But there is another problem: It takes too long to load on mobile and doesn't reflow. I thought mobile was one of the reasons people wanted HTML in the first place!
You can convert a lot of formulas into either Mathjax/Katex-style fonts or MathML, or even just HTML+Unicode. (I get a very long way with pure HTML+Unicode+CSS on Gwern.net, and didn't even have to write a TeX-to-HTML compiler - just a long LLM prompt: https://github.com/gwern/gwern.net/blob/master/build/latex2u... )
But that's missing the point. Who cares about all of the refinements like reflow or pretty equations, when you are routinely serving massively corrupted and silently incomplete HTML versions? I don't care how good the typography is in your book if it's missing 5% of pages at random and also doesn't have any page numbers or table of contents...
I don't think this is an inherently better approach, but maybe there should be an option for different ranking mechanisms. You could also rank by things like cite-frequency, cite-recency, "cite pagerank", etc.
Citations are probably not the best metric for discovery, but also this really just makes me wonder if papers are not the best thing for discovery. An academic produces ideas, not papers, those are just a side-effect. The path is something like:
* make a idea
* write short conference papers about it
* present it in conferences
* write journal papers about it
* maybe somebody writes a thesis about it
(Talking to people about it throughout).
If we want to discover ideas as they are being worked on, I guess we’d want some proxy that captures whether all that stuff is progressing, and if anybody has noticed…
Finding that proxy seems incredibly difficult, maybe impossible.
And I prefer this over discussions on 'X'.
We don't lack places that the public can engage with researchers and experts. What we do lack are places where researchers/experts can communicate with one another __and expect the other person to be a peer__. The bar to arxiv is (absurdly) low, and I think that's fine.
Not everything has to be for everyone.
My longer comment: https://news.ycombinator.com/item?id=41484123
I'm going to go crazy if I get more GitHub issues asking where the source code is or how to fine tune a model. My research project page is not a Google Search engine nor ChatGPT...
Hmm, this is an interesting point.
But don't we want people's attention drawn to controversial/conversation generating papers? The whole point of the platform is to drive conversation
I'm all for casting wide nets and making things available to everyone, but a little gate keeping is not bad (just don't gate keep by race, class, or those things). But I'm sorry, research is hard. There's a reason people spend decades researching things that at face value look trivial. Rabbit holes are everywhere and just because you don't know about them doesn't mean your opinion has equal weight.
We seriously lack areas where experts can talk to other experts.
Agreed that it makes it more complicated though.
How about not ranking things at all? I don't feel like things like this should be a popularity/"like" contest and instead let the content of the paper/comments speak for themselves. Yes, there will be some chaff to sort through when reading, but humanity will manage.
Just sort things by updated/created/timestamp and all the content will be equal.
Most articles are not interesting, most of the interesting ones are interesting only for a niche of a few researchers. The front page will be flowed by uninteresting stuff.
People can't read everything, and have rely on others to filter up the good stuff. If you read something random, based on no recommendation, it's charity work (the odds are extremely good that it is bad) and you should recommend that thing to other people if it turns out to be useful. Ultimately, that's the entire point of any of this design: if we don't care about any of the metadata on the papers, they could just be numbered text files at an ftp site.
The fewer things I have to read to find out they're shit, the longer life I have.
I say the opposite: put a lot of thought into how papers are organized and categorized, how comments on papers are organized and categorized, the means through which papers can be suggested to users who may be interested in them, and the methods by which users can inject their opinions and comment into those processes. Figure out how to thwart ways this process can be gamed.
Treat the content equally, don't force the content to be equal. Hacker News shouldn't just be the unfiltered new page.
Regarding HTMl, our original site actually only supported HTML (because it was easier to build an annotator for an HTML page). the issue is that a good ~25% of these papers don't render properly which pisses off a lot of academics. Academics spend a lot of time making their papers look nice for PDF, so when someone comes along and refactors their entire paper in HTML, not everyone is a fan.
That being said, I do think long term HTML makes a lot of sense for papers. It allows researchers to embed videos and other content (think, robotics papers!). At some point we do want to incorporate HTML papers back into the site (perhaps as a toggle).
Did you bulk download the arxiv metadata, PDF and or LaTeX files?
I am trying to figure out what the required space is for just the most recent version of the PDF's.
I can find mentions of the total size in their S3 bucket but unclear if that also includes older versions of the PDF's.
I also wonder if the Kaggle dataset is kept up to date since it states merely 1.7M articles instead of 2.4 I read elsewhere.
Edit: I just found the answers to my question here: https://info.arxiv.org/help/bulk_data_s3.html
I disagree. There are numerous times where I have browsed the comments on a HN post where people haven't read the article and are just responding to the comment thread. The workflow for this seems a bit different in that a person would have already read a paper and wanted to read through existing discussions or respond to discussion. With that, having the search front and center would follow as the next steps for a person who read a paper and wanted to "search" for discussions related to that paper in particular.
HN is more an aimless browsing which is a bit different than researching a specific area or topic.
- The frontpage should directly show the list of papers, like with HN. You shouldn't have to click on "trending" first. (When you are logged in, you see a list of featured papers on the homepage, which isn't as engaging as the "trending" page. Again, compare HN: Same homepage whether you're logged in or not.)
- Ranking shouldn't be based on comment activity, which ranks controversial papers, rather papers should be voted on like comments.
- It's slightly confusing that usernames allow spaces. It will also make it harder to implement some kind of @ functionality in the comments.
- Use HTML rather then PDF. Something that could be trivial with HTML, like clicking on an image to show a bigger version, requires you to awkwardly zoom in with PDF. With HTML, you would also have one column, which would fit better with the split paper/comments view.