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LLM agents suffer from a human-like cognitive bias, Actor-Observer Asymmetry, leading them to make inconsistent judgments about their own and others' failures.
Overcome the scarcity of 4D training data by cleverly borrowing spatial understanding from 3D models and temporal dynamics from video models.
Current video models struggle to infer unseen spatial states and causal relationships, falling far short of human-level spatial reasoning.
