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Today's video world models excel at hallucinating plausible-looking frames, but their ability to actually preserve initial object identities drops by over 40% as scene complexity scales beyond 40 instances.
Non-thinking inference in hybrid-thinking MLLMs suffers from a staggering increase in response-pattern failures, revealing a critical misalignment that can undermine user trust.
