Do Not Restart: Residual Completion for Stateful Agent Handoffs

2026-09-12

AI Summary

研究通过引入Commitment-Frontier Residual Completion方法解决了状态代理交接时如何保持承诺、效果和未完成义务的问题，同时降低了推理成本。

Abstract

Routing and cascades reduce tool-agent cost by transferring control across models, but stateful handoffs must preserve accepted choices, realized effects, and unfinished obligations. We formulate this as commitment-constrained residual completion and introduce Commitment-Frontier Residual Completion (CFRC). CFRC enforces target-before-proposal, whole-proposal-before-authority, and live-evidence-before-success: it freezes a residual contract from accepted progress, closes the successor continuation into an evidence-linked graph, and admits execution only when the remainder is covered, with live receipts discharging obligations. We establish contract-relative partial correctness, which extends to the original residual request under complete contract construction. Across five environments and two same-provider model pairs, CFRC achieves comparable macro accuracy to strong full-task agents at only 22.0%-34.6% of their inference cost, with additional cross-provider results demonstrating broader transfer.

Problem

• stateful handoffs
• commitment-constrained residual completion
• residual contract

Innovation

• Commitment-Frontier Residual Completion
• stateful handoffs
• contract-relative partial correctness
• inference cost reduction