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#artificial intelligence Preprint Sep 2026

Towards Reliable AI Data Scientists: Data Agents with Workflow Harnesses

This paper examines Data Agents from a harness-centric perspective, introducing a taxonomy of Data Agents and associated data environments, and identifying four open reliability problems: inactive semantic calibration, missing clarification, missing experience transfer, and the missing verification-repair repository.

Hua-Chi Zhou, Yu-Jing Zhang, Jia-He Du et al. · 0 citations
Review Aug 2026

Graph Engineering in the Era of LLM Agents: From Individual Intelligence to System Intelligence

Graph Engineering is introduced, an emerging paradigm for next-generation agent systems that provides a unified foundation for organizing complex objectives, orchestrating heterogeneous agents, modeling system dynamics, and enabling scalable agent evolution.

Yu-Yuan Feng, Zhi-Shang Xiang, Chao Yang et al. · 5 citations

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