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World-T3: Test-Time Training as Persistent Memory for Real-Time Video World Models
Recent advances in video world models have enabled plausible interactive environments, yet long-horizon generation places a fundamental demand on visual memory: the previously observed world must remain consistent as the model continues to generate. Existing autoregressive approaches often implicitl
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