Use this to prepare artifacts that make an ICLR paper reproducible and reviewable. ICLR may not run a separate artifact-badge process for every paper, so the practical bar is whether reviewers and ACs can verify the claims without identity leakage or excessive setup.
ICLR reviewers sample the supplement under time pressure during an open discussion everyone can read later. Optimize for the first ten minutes.
| Reviewer signal | Strong artifact | Weak artifact |
|---|---|---|
| "Rerun the headline table?" | run_main.sh with seed, config, log |
"See repo", no entry point |
| "Is this anonymous?" | Stripped remotes, no analytics | Demo that logs reviewer IPs |
| "Checkpoint matches paper?" | Hash-pinned weights + eval command | Unlabeled .pt files |
| "What is not covered?" | "Cannot release X, license Y" | Silent gaps read as hiding |
A submission proposes a self-supervised contrastive objective for graph encoders and ships a 9 GB
checkpoint but no eval command. A public review asks how to reproduce Table 2 without retraining.
The fix: add eval_table2.sh that loads the checkpoint, runs the frozen-encoder probe, prints the
exact numbers, pin the checkpoint hash, and note in the thread that it runs in minutes on one GPU.
The clean path stays public forever and reassures every later reader of the accepted paper.
[Artifact status] complete / partial / risky / unavailable
[Reviewer path] <fastest route to reproduce main claim>
[Anonymity risks] <metadata, links, logs, demos>
[Release plan] anonymous review / post-acceptance public / cannot release
[Missing evidence] <commands, seeds, data, checkpoints, licenses>