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This paper presents a certificate-carrying sub-quadratic method for computing bisimulation metrics in Markov decision processes using approximate nearest neighbors, with coverage-augmented guarantees and two-sided bounds. Experiments show improved scaling and accurate metric recovery compared to baselines.