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conext-experiments

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Use when designing or auditing the evaluation of an ACM CoNEXT paper — matching evidence to claim shape with real testbeds and deployments, honest and tuned baselines, measurement statistics and uncertainty, trace and config provenance, and contamination-aware ablations for ML-for-networking work.

When to use

• designing evaluation for ACM CoNEXT paper
• auditing evaluation for ACM CoNEXT paper
• matching evidence to claim shape
• using real testbeds and deployments
• defining honest and tuned baselines
• reporting measurement statistics and uncertainty
• documenting trace and config provenance
• performing contamination-aware ablations for ML-for-networking

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