ICALP Proof Strategy & Computation

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Aligns theoretical proof strategies with claim types and integrates reproducible computer-assisted verification for ICALP computer science papers.

The ICALP Experiments skill provides specialized guidance for theoretical computer science researchers preparing submissions for ICALP (EATCS). It guides authors in matching rigorous proof arguments—such as upper bounds, approximation analyses, fine-grained conditional reductions, and complexity dichotomies—to their precise claim shapes while preventing common referee objections. Additionally, it governs the legitimate use of supporting computation, such as SAT/SMT-certified lemmas, computer-assisted case analyses, and exhaustive base-case verifications, ensuring these computational steps provide independently checkable certificates and remain reproducible without diluting theoretical manuscripts with unnecessary empirical benchmark framing.

Key Features

01Structures SAT/SMT solver certificates and witnesses for independent reviewer verification
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03Establishes reproducibility standards for computer-assisted case analyses and small-case checks
04Aligns proof strategies with theoretical claim shapes across algorithms, bounds, and complexity classifications
05Prevents improper empirical benchmark framing in pure theoretical computer science submissions
06Outputs structured diagnostic summaries highlighting proof gaps and missing verification artifacts

Use Cases

01Auditing draft ICALP papers to remove misleading empirical framing and strengthen formal proofs
02Packaging reproducible code artifacts and solver inputs for computer-assisted base case proofs
03Validating that reduction techniques and mathematical arguments rigorously support targeted theorem claims