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This paper introduces the notion of publicly-verifiable certificates of statistical validity (pvCSVs) for statistical algorithms, enabling distributionally-robust certification of learning results without interaction. The authors construct pvCSVs for adaptive Statistical Query algorithms with sample complexity scaling logarithmically in the number of queries.