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arXiv · 2608.22538

STAGE: Stateful Translation to Agentic Graph Execution with Policy-Scoped Context and Deterministic Control

Mengxi Luo·Changjia Chen·An Cao·Zirong Huang·Wanyi Dai
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Abstract

Policy-governed agents must interpret case evidence while reliably following authorized procedures. We present STAGE, an executable-graph framework that confines model judgment to policy-scoped nodes while placing procedural control in deterministic code. We evaluate STAGE on three public policy-following benchmarks and Smart Dispute, a proprietary banking benchmark. Compared with monolithic full-policy execution, STAGE improves task success and repeated-run reliability, with its largest observed gains on the deeper workflows. On $τ^2$-bench Telecom and Smart Dispute, $\mathrm{Pass}^{3}$ improves by up to 55.0 and 65.7 percentage points, respectively. These results demonstrate the value of combining localized policy reasoning with deterministic procedural control for enterprise use.

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Mengxi Luo, Changjia Chen, An Cao, Zirong Huang, Wanyi Dai. 2026-08-27. STAGE: Stateful Translation to Agentic Graph Execution with Policy-Scoped Context and Deterministic Control. https://arxiv.org/abs/2608.22538

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