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kdd-reproducibility

separate

Use when hardening the reproducibility story of a KDD paper, where reproducibility is an explicit decision factor for area chairs. Covers claim-to-evidence tiers for mining pipelines, seeds and splits on large graphs and streams, baseline-tuning disclosure, compute reporting, and honest limits for ADS deployment results.

When to use

• hardening reproducibility story of a KDD paper
• claim-to-evidence tiers for mining pipelines
• seeds and splits on large graphs and streams
• baseline-tuning disclosure
• compute reporting
• honest limits for ADS deployment results
• mining-pipeline disclosure checklist
• config-as-artifact discipline

Skill page

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