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Stochastic Semantic Evidence Graphs: Uncertainty Propagation and Governance for Agentic AI
AI-agent evaluations usually inspect a final answer, yet error may enter through evidence, retrieval, prompting, generation or decision mapping. We introduce a stochastic semantic evidence graph (SSEG), a hierarchical stochastic DAG whose language node expands into an autoregressive token subgraph a
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