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Non-generative "System One" models can beat closed-source baselines in Chinese decision tasks with a 20x speedup and 15 ms latency, proving encoder-only architectures remain radically underutilized for structured reasoning.
This work introduces a comprehensive evaluation framework organized around four complementary dimensions of physical world reasoning, and constructs a diverse set of novel tasks that require models to integrate complementary information across modalities.