Every Author as First Author
arxiv.org
arxiv.org
https://mathoverflow.net/questions/19987/math-paper-authors-...
If not, you're kinda missing the point. All mathematicians know that this is how it works. If they did not already know it going into grad school, at some point, they will find out.
That means that department-level processes all more or less take into account that this is done. That might mean that you'd need a few solo or at most 2 author papers to have a good tenure case, but nonetheless, it's accounted for.
At the faculty-wide level, math departments do have to communicate this standard to faculty of other disciplines. But, OTOH, it does facilitate a joke I know: at one point, it was widely held that the three best British mathematicians alive were Hardy, Littlewood, and Hardy-Littlewood.
The three authors can publish three papers, each with their own angle on the subject matter, highlighting their ideas, and citing the ideas from the collaborators.
The papers could mutually cite each other, creating a graph, and be published with the same date.
My gripe with their proposal is, if I print a research paper, then the author information is just useless for looking up a reference. There is information loss/degradation.
Listing names in alphabetical order and including a statement that all authors share equal credit ought to be sufficient, in theory. Changing centuries of practice across thousands of institutions around the globe --- nearly impossible.
A better solution would be a standard like DOI but for authorship. That should be a simple microformat that has the contributor list, role and who the primary author(s) are. Over a period of time, all citations can be migrated to that format with an authorship URL embedded.
Referring to something like the "Lin transformers paper" or the "Vaswani attention paper" is easy to get people onto a common ground. If you randomise the authors, you'd need to fall back to full paper titles, and long paper titles aren't particularly evocative.
Randomisation may be fine for citation (particularly numbered citation formats like[0], where the names are only in the bibliography), but even then, you are breaking the flow of thought. If someone references an article like "blah blah(mayford 2020)", then for those familiar with the field you can more easily continue reading without having to break your chain of thought to jump to the bibliography and figure out what paper that was.
edit ----
a further thought... referring by TEAM might be alright, but falls down when you're multidisciplinary. e.g. you might refer to the "Deepmind" paper, or the "Facebook llm paper"...but my area of research is agritech so we work with animal scientists from a different institution. Do we refer to both teams? 'The google/meta paper'? Again, you're likely to just fall back to whatever is the first author or institution in your mind.
And that's exactly the problem we're trying to solve :-) If only the first author is in your mind, then the rest of them aren't getting enough credit.
Next time you're reading a new paper and it's written by the 4th author, are you going to recognize their name and go "Oh, this was written by that author that wrote that other great paper, I should read it!"? Or will you not have a clue who they are because only the first author stuck out?
Disrupting the thought process so that you either need to refer to all of them or their team or the paper by name is the point. If it's written by 2 teams, it's the same problem. You would have to randomize Google/Meta and Meta/Google. Although..well maybe not if it's short enough that it's always referred to in full.
With regards to paper names being too long, we have that problem at my office sometimes too. I just give them cute shorter code names so they're easier to refer to.
The initials are alphabetical order (of last names) and it provides enough context to do offline lookups.
https://www.frontiersin.org/articles/10.3389/fimmu.2021.6526...
E.g. if I was reading an article and saw (Jmole et al 2020)--and was familiar with the field--I could easily continue on with an idea of what your paper contained.
If you cite using numbers (as is common in my field, engineering), then the current paper becomes a bit easier to read, but you lose the flow if you need to jump back and forth to the references (e.g. what is [0]? oh, it's jmole 2020, oh where was I in the methods?) and need to rebuild your mental model.
The only advantage of citing by author is if people are actually completely unfamiliar with the paper but are familiar with other works by the author and just guess that the work is related and of similar quality, but this is problematic both because it's incredibly unscientific to just accept something based on authority, and if your lead author is a grad student with few publications to their name you probably aren't familiar with them anyways.