Author

Rui-Yi Lan

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#artificial intelligence Preprint Oct 2026

State Representation Shapes Long-Horizon Agent Learning and Transfer: An Empirical Study

An end-to-end success rate alone cannot distinguish failure to learn an action from failure to apply it as task state changes. We study this distinction in deterministic tool workflows that provide the current artifact state and candidate action recipes. Using 1.7B, 8B, and 27B Qwen models, we compare supervised learni...

Dong Nie, Rui-Yi Lan, Yi-Xin Nie et al. · 0 citations

#natural language process... Preprint Aug 2026

Dual-Layer Agentic Memory with Fast Write Routing and Slow Consolidation

Dual-Layer Agentic Memory is proposed, a framework that shifts memory management to the write phase through cost-aware epistemic routing and periodic parametric consolidation, allowing the router to adaptively suppress redundant writes as the model's epistemic boundaries evolve.

Wen-Zhi Li, Dong Nie, Ruiyi Lan et al. · 1 citation