Individual skill
ijcai-reproducibility
Use when strengthening IJCAI or IJCAI-ECAI reproducibility evidence for theory, algorithms, datasets, and computational experiments under the official convincing/credible/irreproducible reviewer rubric and optional reproducibility-section guidance.
IJCAI-Skills/skills/ijcai-reproducibility/SKILL.md
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# IJCAI Reproducibility
Use this before submission and again before camera-ready. Reopen the current reproducibility
page; IJCAI's rubric and checklist can change.
## Evidence map
- Target at least a credible reproducibility rating for every major result; aim for
convincing when resources can be shared safely.
- For new algorithms, include a conceptual outline or pseudocode in the paper.
- For theory, state assumptions, formal claims, citations to tools, proof sketches, and
proofs for novel claims.
- For datasets, cite existing sources, describe unavailable or proprietary datasets, and
include or promise release of new datasets only when legally possible.