arXiv (All)
open access
How GUI Agents Fail: GraceBench for Execution Stability Diagnosis
As GUI agents are increasingly deployed for mobile task automation, their reliability depends not only on final task outcomes, but also on whether they reach these outcomes through stable interaction trajectories. In automation workflows, unnecessary actions, detours, and execution errors can add no
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- GUITAR: Structured Failure Diagnosis of GUI Agents via State Transitions#1119186
- WindowsWorld: A Process-Centric Benchmark of Autonomous GUI Agents in Professional Cross-Application Environments#157331
- GUI-HARVEST: Self-Improving GUI Agents through Evidence-Driven Harness Evolution#1155883
- DashAct: A Progressive Diagnostic Benchmark for GUI Agents in Interactive Dashboard Analysis#1116716
- SeerGuard: A Safety Framework for Mobile GUI Agents via World Model Prediction#821951
Record · ID 1354582
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive