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#artificial intelligence Preprint Sep 2026

StateTape: Action-Conditioned Evidence Lifecycle Modeling for Long-Horizon Coding Agents

Despite the recent success of coding agents built on large language models, it remains challenging to run them over long horizons, since every observation is appended to the context and the context grows with each one. History-based maintenance is a common remedy, which masks or summarizes old observations, or prunes w...

Zi-Yang Yu, Liang Zhao, Bo-Wen Zhu et al. · 0 citations
Preprint Aug 2026

Wuying-Browser-Agent: Real-World Centric Fundamental Long-Horizon Browser Agents

Browser agents perform well on short, clean demonstrations, but real deployment is fundamentally different: agents must sustain dozens of decisions on live websites while recovering from mistakes and navigating complex UIs. We argue that closing this gap requires alignment at every level of the pipeline, including exec...

A. Chen, Yan Cheng, Zhangye Han et al. · 1 citation

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