SDOF: Taming the Alignment Tax in Multi-Agent Orchestration with State-Constrained Dispatch
The article discusses the SDOF framework designed to enhance multi-agent orchestration by enforcing state constraints. It highlights the framework's components, including an intent router and a dispatcher, which improve task completion rates and accuracy. The results indicate that SDOF outperforms existing models in specific benchmarks and provides robust execution control.
- ▪SDOF treats multi-agent execution as a constrained state machine.
- ▪The framework includes an Online-RLHF Specialized Intent Router and a StateAwareDispatcher.
- ▪In a recruitment system, SDOF achieved 86.5% task completion and blocked all operations in the illegal HR subset.
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| Original publisher | arXiv cs.AI |
| Canonical URL | https://arxiv.org/abs/2605.15204 |
| Publication time | Mon, 18 May 2026 00:00:00 -0400 |
| Retrieval time | 2026-05-18T04:04:54.418Z |
| Last seen | 2026-05-18T04:04:54.418Z |
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| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
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Computer Science > Artificial Intelligence arXiv:2605.15204 (cs) [Submitted on 20 Apr 2026] Title:SDOF: Taming the Alignment Tax in Multi-Agent Orchestration with State-Constrained Dispatch Authors:Zhantao Wang View a PDF of the paper titled SDOF: Taming the Alignment Tax in Multi-Agent Orchestration with State-Constrained Dispatch, by Zhantao Wang View PDF HTML (experimental) Abstract: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.
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