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PODS Reproducibility & Verifiability

brycewang-stanfordbybrycewang-stanford
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Learning & Documentation

Strengthens the mathematical verifiability and proof consistency of ACM PODS research papers prior to submission and camera-ready publication.

Designed specifically for theoretical computer science and database theory researchers targeting ACM PODS (Principles of Database Systems), this skill guides you through building a rigorous claim-to-proof map, incorporating complete self-contained proofs into at-submission appendices, pinning model assumptions, and preventing reject-prone overclaiming. It ensures full consistency between paper abstracts, body theorems, and proofs while handling the double-anonymous arXiv full-version publication workflow seamlessly.

Key Features

01Audits assumption ledgers to ensure all conditional bounds (ETH, OMv, #P) are explicitly labeled
02Provides double-anonymous pre-submission and camera-ready arXiv preparation workflows
03Maps every theorem, lemma, and corollary to complete proof locations in the PDF
04Evaluates claim scope and ensures honest presentation of open problems versus established results
05Conducts verifiability audits to eliminate hand-waving and off-paper proofs
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Use Cases

01Preparing the camera-ready version and linking DOI-compliant arXiv full versions without discrepancies
02Checking database theory papers (e.g., complexity dichotomies, query optimization) for assumption consistency
03Auditing mathematical proofs and appendix completeness prior to submitting to ACM PODS or PACMMOD