I would argue that all fixing research is accelerated by having found examples, because it gives you better feedback on whether you’ve found or made progress towards fixes, by studying what happened on your examples. (So long as you are careful not to overfit and just fit that example or something). I wouldn’t confidently argue that it can more directly help by eg helping you find the root cause, though things like “training data attribution to the problematic data, remove it, and start fine tuning again” might just work
I would argue that all fixing research is accelerated by having found examples, because it gives you better feedback on whether you’ve found or made progress towards fixes, by studying what happened on your examples. (So long as you are careful not to overfit and just fit that example or something). I wouldn’t confidently argue that it can more directly help by eg helping you find the root cause, though things like “training data attribution to the problematic data, remove it, and start fine tuning again” might just work