RUPA Provides Trajectory-Level Uncertainty Quantification for Agents
August 16, 2026
RUPA (Relational Uncertainty Propagation for Agents) models execution history as a directed trajectory graph to identify errors that accumulate over time. This allows agents to detect failures caused by reasoning or interaction steps that occurred much earlier in the sequence.
HOW THIS AFFECTS YOU
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builderYou can build more reliable agentic systems by implementing trajectory-level error detection rather than step-wise confidence.
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researcherThis framework addresses the limitation of local uncertainty signals in long-horizon agentic reasoning.