Expired50% confidenceFactExact time
Mainstream text-to-video models exhibit an information decay effect when processing long text conditions, with tokens closer to the end of the sequence carrying lower influence weight in the final generated result.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
7/20/2026
First Seen
Valid until: 10/18/2026(expired)
Sources
Related Claims
Unverified在自回归生成中，随着文本长度增加，早期设定的约束条件在概率分布中的权重逐渐降低，导致生成内容偏离原始意图70% similarVerifiedEven models with a million-token context face an attention dilution problem when handling large codebases—when the context is too long, the model's attention to early content drops significantly.68% similarUnverifiedExperiments show that after only a few generations of self-training, the variance of model outputs drops sharply and the text tends toward homogeneity68% similar
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