Belief graphs improve LLM 2nd-order theory-of-mind performance in Hanabi when they gate action selection (100% vs 20%) but are mostly decorative as prompt context for strong models, with model-family-specific planner defiance and diminishing returns from deeper graphs.
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Don't Make the LLM Read the Graph: Make the Graph Think
Belief graphs improve LLM 2nd-order theory-of-mind performance in Hanabi when they gate action selection (100% vs 20%) but are mostly decorative as prompt context for strong models, with model-family-specific planner defiance and diminishing returns from deeper graphs.