paperAugust 2026Unreviewed

OpenART: Scaling Agent Red Teaming via Open-Ended Environment Evolution

Yunhao Chen, Xin Wang, Yixu Wang, Yi Liu, Jie Li, Yan Teng, Xingjun Ma, Xia Hu, Yu-Gang Jiang

Abstract

AI agents operate in persistent environments where early state changes can influence decisions far into the future. Unlike conventional language-model interactions, agent behavior is mediated through a shared state that is repeatedly modified and reused across long-horizon workflows. Current safety benchmarks often fail to capture these cumulative risks because they focus on short, static tasks. To address these limitations, we introduce OpenART, an open-ended arena for scalable agent red teamin

Framework mappings

NIST AI Risk Management Framework

MEASUREMeasure

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Cite

@misc{chen2026openart,
  title = {{OpenART: Scaling Agent Red Teaming via Open-Ended Environment Evolution}},
  author = {Yunhao Chen and Xin Wang and Yixu Wang and Yi Liu and Jie Li and Yan Teng and Xingjun Ma and Xia Hu and Yu-Gang Jiang},
  year = {2026},
  month = aug,
  eprint = {2608.00677},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2608.00677}
}