Start with a correction that saves authors from importing the wrong workflow: ECAI does not run an ACM/IEEE-style artifact-evaluation track with a separate badge committee. There is no "Artifacts Available / Functional / Reusable / Reproduced" pipeline as at ACM SIGSOFT venues, and no separate artifact deadline to hit after acceptance. In ECAI, the reproducibility story is carried by the paper and its supplement and judged by the same reviewers who read the paper, during the one review round.
That makes the "artifact" a submission-time asset, not a post-acceptance badge chase. Its job is to make the reviewer trust the claim inside a 7-page body. (Confirm on the current call whether the edition adds any optional reproducibility checklist or appendix mechanism — this is 待核实 per cycle and can differ between a standalone ECAI and the joint IJCAI-ECAI 2026.)
ECAI is a general-AI venue, so "artifact" means different things:
| Contribution shape | The credibility artifact is... |
|---|---|
| Theory / KR / argumentation | A complete proof appendix (full proofs the body only sketches) plus, if applicable, a reference solver/encoding |
| Planning / search / optimization | The domain files, instances, seeds, and a runnable implementation reproducing the reported node/quality numbers |
| Machine learning | Code, data (or a loader), configs, seeds, and cached outputs so results reproduce without live API calls |
| Multi-agent systems | The environment, agent code, and the exact evaluation protocol (episodes, seeds, metrics) |
| Applied AI (PAIS) | Enough of the pipeline and (sanitized) data to make the deployment claim credible |
ecai-submission).ecai-supplementary).[ ] Full proofs present for every theorem the body sketches (theory work)
[ ] Code runs from a clean checkout with a documented entrypoint (empirical work)
[ ] Data included or a script fetches a versioned public source; seeds fixed
[ ] Cached model/API outputs included so results do not re-sample at run time
[ ] A short README maps each paper claim/table -> the file that reproduces it
[ ] Archive anonymized: no owner, institution, funding, or system-name leaks
[ ] Total size and runtime reasonable for a reviewer's one-pass read
ecai-experiments).Once accepted, convert the anonymized supplement into a permanent, open release to match ECAI's open-access ethos:
ecai-camera-ready).[Artifact type] proof appendix / runnable code+data / environment+protocol / deployment pipeline
[Anonymity] clean / leaks: <where>
[Claim map] each theorem/table -> proof or reproducing file
[Self-containment] runs/readable in one pass? missing deps: <list>
[Reality check] no ACM/IEEE badge assumed; nothing decision-critical hidden in the supplement
[Post-acceptance] DOI archive + open license + de-anonymized link planned for camera-ready