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arxiv_llm_reliability · Oct 2, 2026 · paper

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What Should World Models Forget? Stratified Retention for Continual Adaptation

arxiv.orgOct 2, 2026
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Continual learning treats degradation on previously seen data as evidence of failure, a convention inherited from settings with a stationary prediction target, where a correct label remains correct indefinitely. World...

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What Should World Models Forget? Stratified Retention for Continual Adaptation

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