Individual skill
uai-reproducibility
Use when hardening reproducibility evidence for a UAI paper, including seeds, sampler convergence diagnostics, ELBO and calibration traces, dataset and hyperparameter disclosure, compute reporting, and honest code-availability statements, since UAI strongly encourages released code and data and reviews whether claims are convincingly backed.
UAI-Skills/skills/uai-reproducibility/SKILL.md
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- Last checked
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# UAI Reproducibility
UAI's 2026 CFP did not impose a formal reproducibility checklist (one may appear later —
待核实 each cycle), but it strongly encouraged code and data availability and instructed
reviewers to judge whether claims are backed up convincingly. At this venue "convincing"
has a technical meaning: stochastic-inference results carry diagnostics, not just point
estimates. This skill turns that norm into an audit.
## The UAI-specific bar
Reproducibility questions at a probabilistic-inference venue go one level deeper than
"can I rerun the script":
- A sampler that reproduces the same posterior mean but different tail quantiles has not