Verified75% confidenceFactExact time
In autoregressive prediction, errors at each step accumulate into the next, causing long-range predictions to degrade rapidly.
3
Sources
75%
Confidence
Long-term
Relevance
7/12/2026
First Seen
Sources
WorldBench Open-Sourced: A Standardized Evaluation Toolkit for Robot World Models
redditr/opensource7/10/2026
Related Claims
VerifiedWhen an autoregressive model produces an erroneous intermediate conclusion early in the reasoning chain, it causes subsequent steps to accumulate errors, forming an error accumulation effect.82% similarVerifiedGradient descent iteratively adjusts weights in the opposite direction of the loss function's gradient, causing the prediction error to converge progressively.81% similarUnverifiedTotal prediction error can be decomposed into bias² + variance + irreducible error.78% similarVerifiedError cascading refers to small judgment deviations in early steps being progressively amplified as the reasoning chain extends, ultimately producing results far from what was intended.78% similar
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