SOURCE-LINKED INTELLIGENCE

CausalLoss-Fin: Attributing Financial-Agent Loss to Decisions and Infrastructure Faults

arXiv · AI, language, vision and robotics · article · Sep 22, 2026 · UTC

When an agent handling a payment exception loses money, the agent-step attribution methods this paper compares against will name one of its actions. They will do so even when a settlement message was dropped and the agent never had a chance: they intervene on agent actions and do not expose infrastructure faults as intervenable variables, so every dollar they explain is charged to a decision. We take a benchmark whose fault process is explicit and replayable, decompose each episode's realised delivery schedule into named, individually repairable messages, and intervene on both the agent's choi

Read original source ↗ Open in workspace

recordType

paper

region

Global