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catastrophic forgetting

Catastrophic forgetting is the tendency of a model to lose earlier skills or representations when it learns new tasks. It matters in continual learning, safe RL, long-sequence 4D reconstruction, and online adaptation, where retaining past behavior is as important as fitting new data.

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