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icassp-reproducibility
Use when strengthening ICASSP reproducibility across signal-processing modalities — pinning the scoring ruler for the paper's metric, dataset versions and splits, front-end/DSP settings, seeds, and compute, and mapping each claim to a checkable location, since ICASSP has no reviewed appendix and the four pages plus a public release must carry it.
ICASSP-Skills/skills/icassp-reproducibility/SKILL.md
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# ICASSP Reproducibility
Use this before submission and again before camera-ready. ICASSP has **no reviewed supplement**,
so reproducibility rests on what the four pages state plus whatever you release publicly (which,
under single-blind review, may be public immediately). The recurring ICASSP failure is not a
missing repository — it is a **number whose measurement cannot be reconstructed**.
## The evidence spine
Map each claim — an algorithm result, a theoretical bound, or an empirical metric — to a
checkable location in the paper or the released package:
- For an empirical result: dataset and version, split or trial list, front-end/DSP settings,
model, the **exact scorer and its configuration**, seeds, number of runs, and reported spread.