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C. Spanos

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#artificial intelligence Preprint Sep 2026

When Context Changes: Understanding Update Failures in LLMs

As preferences, goals, and facts change, LLM agents must use the current state while earlier versions remain in context. Yet they can answer with an old value of the same variable, a failure that we call stale binding. To study when models use outdated information and why, we introduce Controlled In-Context Memory (CIC...

Jun-Yu Guo, Yu-Cheng Fang, Shangding Gu et al. · 0 citations
Jun 2026

Understanding and Evaluating Claw-like Agent Security Through a Computer-Systems Lens

SafeClawArena is developed, a benchmark of 406 adversarial tasks executed in containerized replicas of real agent platforms with canary-marked credentials and evaluated via automated taint tracking across nine output channels, exposing the inadequacy of current defenses and suggesting directions for future hardening.

Peizhi Niu, Wenjie Qu, Shangding Gu et al. · 2 citations

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