Author

Wei-Jia Zhang

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Review Aug 2026

Agentic Artifact Creation: Systems, Evaluation, Principles, and Opportunities

This survey examines agentic artifact creation, which is defined as stateful construction in which an AI system materially constructs or revises a deliverable and intermediate observations redirect later work, and formulate principles for keeping commitments and responsibility explicit, turning feedback into targeted repair, and revalidating affected state after change.

Tianfu Wang, Zhezheng Hao, Xinchi Xia et al. · 0 citations

Preprint Jul 2026

CUADebug: Diagnosing and Repairing Computer-Use Agent Failures

Results show that CUA root-cause diagnosis can provide actionable repair signals rather than merely post-hoc explanations and show that CUA root-cause diagnosis can provide actionable repair signals.

Wei-Jia Zhang, Kunlun Zhu, Zeyi Liu et al. · 0 citations

Jul 2026

AgentDebugX: An Open-Source Toolkit for Failure Observability, Attribution, and Recovery in LLM Agents

DeepDebug achieves the best strict attribution accuracy among the evaluated methods on both tested open-weight backbones, reaching 28.8 percent exact agent-and-step accuracy on qwen3.5-9b versus 21.7 percent for the strongest single-pass baseline.

Kunlun Zhu, Xuyan Ye, Zhi-Guang Han et al. · arXiv.org · 3 citations