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cs.AI2026
StateTape: Action-Conditioned Evidence Lifecycle Modeling for Long-Horizon Coding Agents
Ziyang Yu, Liang Zhao, Bowen Zhu +1
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 contex…
cs.AI2026
MEMONDEMAND: A Memory Management System for Large-Scale Enterprise Data
Xinyuan Song, Bowen Zhu, Hasibul Haque +1
Enterprise repositories are large, heteroge- neous, and continuously updated, making re- trieval difficult when efficient access, source- faithful evidence, and cross-query adaptat…
cs.AI2026
MegaMem: A Retrieval Solution for Ultra-Large Context Windows
Xinyuan Song, Bowen Zhu, Hasibul Haque +1
Modern language models and agents increasingly require persistent memory for complete codebases, long interaction histories, and heterogeneous enterprise records. The key challenge…