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Organizational Control Layer: Governance Infrastructure at the Execution Boundary of LLM Agent Systems
arXiv:2606.04306v1 Announce Type: new Abstract: LLM-based agents are increasingly deployed in workflows where generated outputs may directly trigger state-changing actions. This creates an execution-boundary problem: proposed actions must be governed before they are executed. We study this problem through economically consequential multi-agent interactions and argue that deployment-grade agent systems should separate proposal generation from environment-facing execution.