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Round-Trip Consistency: Bidirectional Diffusion Models Can Predict Their Own Rollout Errors
Autoregressive models accumulate error over long rollouts, yet at deployment there is no ground truth to measure it against. We train a single conditional latent diffusion model that steps a dynamical system forward or backward in time via a direction flag, and show that this bidirectionality suppli