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Replication Certification at Publication: Checkable by Anyone, Anywhere, in Seconds, Forever

Gary King, Yiqing Xu, Leo Y. Yang. 2026. "Replication Certification at Publication: Checkable by Anyone, Anywhere, in Seconds, Forever".
Certification at a glance, in four cards: how certification works (the author readies a dataset, the archive certifies one run, anyone checks it), why it needs no one's word, how everyone benefits (what each party pays today and gains once certified), and what certification does not cover

Abstract

Authors increasingly deposit replication datasets—the data and code behind publications—in archives, and journals increasingly require them to, under progressively onerous rules. But a deposit alone proves little, so authors keep paying: months for the journal’s reanalyses, years answering readers’ questions, and rancor as failed replications become accusations because no record establishes what actually ran. We introduce a replication certificate: a cryptographically signed record of the deposited files and logged output. It replaces the journal’s reanalyses with evidence anyone can check in seconds, which no one, including the archive, can backdate, and no one can fake without risking detection. Certification asks little of anyone and benefits everyone: The author deposits, then reruns the analysis once under a random seed the archive computes from the deposit’s hash and a blockchain block; the archive signs, timestamps (in that blockchain), and stores the record—confidential data included—without rerunning anything; the journal merely checks a website for the certificate; and anyone can check or replay any step decades later.