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ResearchOctober 2, 2026

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,…

Xinyuan Song, Zekun Cai·arXiv — cs.AI
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Key Takeaways
  • 01.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
  • 02.We argue that the missing object is the shape of memory use: under finite context and repeated retrieval,…

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