K-Veritas gives machine-learning papers cryptographic receipts for their numbers
Mamadou K. Keita's open-source tool binds reported results to code, hardware telemetry and a signed execution record.
By RuntimeWire Staff · Published
Primary source: GitHub
Why it matters
Keita is targeting a specific weakness in computational research: reviewers can inspect code and logs without knowing whether those artifacts produced the published result. K-Veritas makes that claim tamper-evident while keeping raw training data local, though conference adoption and independent attestation infrastructure remain essential.
Mamadou K. Keita publicly introduced K-Veritas on August 31st, offering researchers a way to attach a cryptographically signed execution record to the numerical claims in a paper. The reviewer can inspect that record without rerunning the experiment or receiving the researcher's training data.…