Skip to content
Source
Agent Control Flash News·· 4h agoAI Score40

自报成功在失败里占 90%:UIC/Intel CURA,中位提前 31 步检出 42.3% 失败

自报成功在失败里占 90%:UIC/Intel CURA,中位提前 31 步检出 42.3% 失败

Edge-TTS Studio Audio
Free for all listeners
Click to synthesize audio
00:00
00:00
AI Overview

View PDF HTML (experimental) Abstract: Self-report is the cheapest oversight channel a deployer has, and on capable computer-use agents (CUAs) it fails precisely where oversight matters. On 361 OSWorld tasks our pipeline, a read-only feasibility gate, a planner, and a GUI...

Primary Source
Academic Paper·arXiv:2608.27808

UIC/Intel CURA (arXiv:2608.27808)

“View PDF HTML (experimental) Abstract: Self-report is the cheapest oversight channel a deployer has, and on capable computer-use agents (CUA”

Body

View PDF HTML (experimental)

Abstract:Self-report is the cheapest oversight channel a deployer has, and on capable computer-use agents (CUAs) it fails precisely where oversight matters. On 361 OSWorld tasks our pipeline, a read-only feasibility gate, a planner, and a GUI executor, reaches a mean task score of 82.9, above the 72.4 human reference, yet 64 of its 71 failures (90%) end with a success claim, 61 acknowledging no blocker, and the explicit failure affordance is never used in roughly 9,100 calls. We introduce CURA (Certified Runtime Alarms for Computer-Use Agents), an external monitor that reads only harness-visible telemetry, with no model internals, extra LLM calls, or prompt changes, and turns the running trajectory into a sequential test with certified false-alarm control. At alpha = 0.10 its CUSUM alarm detects 42.3% of failures a median of 31 steps before termination at a realized false-alarm rate of 0.066, and risk is partly resolvable before the first action (gate probe, 0.69 AUROC). Retrospectively the composite reaches 0.828 AUROC (fold-internal floor 0.802), but its margin over a total-token baseline is not significant (Delta = +0.026, p = 0.101); the separation is online, where CURA recalls more at matched certified budgets: 0.41 versus 0.34 at alpha = 0.10, 0.56 versus 0.38 at alpha = 0.20. Alarm-gated mid-execution oversight recovers 23 of 70 failures while spending a frontier overseer on 38, giving a deployable cascade at mean score 86.8 and 84.5% full-solve (305 of 361). The certificate bounds false alarms only. We also report where behavioral monitoring is uninformative.
Subjects: Artificial Intelligence (cs.AI); Computer Vision and Pattern Recognition (cs.CV); Machine Learning (cs.LG)
Cite as: arXiv:2608.27808 [cs.AI]
  (or arXiv:2608.27808v1 [cs.AI] for this version)
  https://doi.org/10.48550/arXiv.2608.27808

arXiv-issued DOI via DataCite

Submission history

From: Divake Kumar [view email]
[v1] Fri, 28 Aug 2026 00:50:47 UTC (338 KB)

Source: Agent Control Flash News · arxiv.org

Related Products & Analysis

Original·站长/Quantara 团队·~3 min read

Cursor Agent 架构全景拆解:从影子工作区到多文件推演引擎

全面剖析 Cursor 在 Agent 模式下的底层技术实现,解析影子分支隔离、LSP 上下文剪枝以及预测性补全的核心架构细节与工程实践经验。

Underlying architectures & industry dynamicsRead Analysis →
Curated·Vercel Changelog·~1 min read

Vercel v0 推出全新多 Agent 协作画布与实时全栈部署预览

动态速评:v0 正在从单一组件生成器演进为全栈应用搭建协作台,尤其是与 Neon/Postgres 的直连极大降低了全栈原型验证成本。

Underlying architectures & industry dynamicsRead Analysis →