SDOF: Taming the Alignment Tax in Multi-Agent Orchestration with State-Constrained Dispatch

Multi-agent orchestration frameworks such as LangChain, LangGraph, and CrewAI route tasks through graph-based pipelines but do not enforce the stage constraints that govern real business processes. We present SDOF, a framework that treats multi-agent execution as a constrained state machine. SDOF operates through two primary defensive layers, implemented by three components: (1) an Online-RLHF Specialized Intent Router trained via Generative Reward Modeling (GRPO) and (2) a StateAwareDispatcher

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ethics.ai (20 April 2026), “SDOF: Taming the Alignment Tax in Multi-Agent Orchestration with State-Constrained Dispatch,” evidence record 5606, https://ethics.ai/record/5606 (originally published by arXiv).

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