What does an ablation change?
- Exactly one component
- Everything at once
- Nothing at all
A stranger wants to repeat your run. What do they need?
- Only the final score
- Only the paper title
- Seeds, environment, and the exact command
A single seed counts as a full result.
Circle one: True False
Two runs differ in three settings at once. Can you claim one part caused the gain?
- Yes, the best score always explains itself
- Yes, three changes count as one
- No, only one thing may differ
Your score rose after adding a part. How do you show the part caused it?
- Rerun with a new dataset and new seed
- Rerun with only that part removed and compare
- Report only the higher score
You ran five seeds with spread-out scores. What do you report?
- The scores across seeds, including how they vary
- Only the best seed
- The seed you liked most
A teammate records the command but not the seed or environment. Repeatable?
- Yes, the command is the only thing needed
- Yes, seeds never matter
- No, the seed and environment are required too
A reviewer asks for the ablation isolating your new loss term. What do you run?
- A new model with a new dataset
- Same setup and seed, term on versus off, then compare the gap
- One run with the term on only
Making results repeatable and proving the gain W1-mt_Rp__eJ-vjn-s1
- Exactly one component · One difference per ablation, nothing more.
- Seeds, environment, and the exact command · Repeatable means every ingredient recorded.
- False · One seed may be luck; a result needs several.
- No, only one thing may differ · Tangled changes prove nothing about one part.
- Rerun with only that part removed and compare · The on-versus-off gap is the part's contribution.
- The scores across seeds, including how they vary · Report the finding and its wobble.
- No, the seed and environment are required too · All three ingredients are mandatory.
- Same setup and seed, term on versus off, then compare the gap · Same everything, one switch flipped, gap measured.