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arXiv — cs.AI

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标题为英语Heavy-Tailed Memory Traces in Long-Horizon Language Agents

Long-horizon language agents increasingly rely on external memory as a frozen world model, yet current memory systems are usually judged only by task success or token cost. We argue that the missing object is the shape of memory use: under finite context and repeated retrieval,…

arXiv — cs.AI作者: Xinyuan Song, Zekun Cai2026年10月2日 (10月2日)
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  • Long-horizon language agents increasingly rely on external memory as a frozen world model, yet current memory systems are usually judged only by task success or token cost
  • We argue that the missing object is the shape of memory use: under finite context and repeated retrieval,…
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Heavy-Tailed Memory Traces in Long-Horizon Language Agents

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