[KongchangAI]
Unverified50% confidenceSolutionExact time

Having the model roll forward a number of steps and then roll backward the same number of steps should ideally return to the starting point, and the discrepancy between the actual return position and the starting point serves as a self-supervised proxy metric for unobservable rollout error.

1
Sources
50%
Confidence
Long-term
Relevance
8/8/2026
First Seen

Sources

往返一致性:让扩散模型自己预测误差的自监督方法

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