In academia there always is a difference between the way results are advertised and what conclusions are drawn internally. This is more true in some fields than others, I'm most familiar with it ML, Physics. Part of your skill as a researcher is to understand based on omissions, the datasets etc. the quiet part that isn't said out loud. Depending how you sell things you can get a Nature / Science paper with confusing inconsistent terminology, hand rolled C++ implementation, provided you are the first and a another method which might be 1000x times faster will only make it into PRL (yes I'm thinking of two specific papers, but won't say which).

There's probably space for a startup that properly archives the technical nature of findings.

+1