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Argument Graph Uncertainty: Quantifying Uncertainty from the Logical Structure of Reasoning Chains
Reliable uncertainty estimation is essential for deploying large language models in high-stakes reasoning tasks, yet most existing approaches rely on expensive sampling strategies or shallow token-level signals that ignore the internal logical structure of model outputs. We introduce Argument Graph
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