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China

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Preprint Aug 2026

AstronOS: A Unified Execution Model and Runtime for Long-Horizon Agentic Systems

A unified execution model that maintains a work item's persistent identity and versioned authoritative state across calls is introduced that is associated with higher end-to-end pass rates across fresh sessions in this benchmark, at a measurable time cost.

Zhenhang Nie, Gui Zheng, Xudong Sun et al. · 0 citations

#machine learning Preprint Aug 2026

HARTS: Efficient Agentic Reinforcement Learning for Hybrid-Attention Models over Arbitrary Rollout Trees

HARTS is the first system to demonstrate arbitrary-rollout-tree prefix-sharing speedups on a real hybrid-attention model, and its numerical differences are comparable to baseline self-rerun variation, and its reward trend is similar to the baseline over the first 120 steps of SWE-bench training.

Bo-Yuan Meng, Pei-Hua Bao, Hong Liu et al. · 0 citations