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This paper presents a Belief-Guided architecture for Computer Go that replaces heavy MCTS with a Belief head and gating mechanism to reduce hallucination and enable professional-level play on consumer hardware.
Proposes an uncertainty-gated router that doubles the selected key blocks for queries with uncertain cutoff margins, improving recall and accuracy in block-sparse attention for long-context language models, validated on multiple architectures.