Depends on the field, at best. In the psychology Replication Crisis, this was one of the classic excuses to not publish failures-to-replicate: “we did it right, so you must just have done it wrong; so it’s good that you can’t get published and no one will cite you even if you do. You’d just pollute the literature and distract from our important success.” Of course, it turns out that even if you involve the original experimenters in the followup to sign off with their magic touch, it doesn’t replicate once you lock down the analysis and get a proper sample size.
Depends on the field, at best. In the psychology Replication Crisis, this was one of the classic excuses to not publish failures-to-replicate: “we did it right, so you must just have done it wrong; so it’s good that you can’t get published and no one will cite you even if you do. You’d just pollute the literature and distract from our important success.” Of course, it turns out that even if you involve the original experimenters in the followup to sign off with their magic touch, it doesn’t replicate once you lock down the analysis and get a proper sample size.
year fair, the particular kind of negative result I had in mind was
“we tried some novel ML/interp technique and it didn’t work”
which, to your point, is indeed a very particular kind of negative result