AI RESEARCH
The Long-Horizon Task Mirage? Diagnosing Where and Why Agentic Systems Break
arXiv CS.AI
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ArXi:2604.11978v1 Announce Type: new Large language model (LLM) agents perform strongly on short- and mid-horizon tasks, but often break down on long-horizon tasks that require extended, interdependent action sequences. Despite rapid progress in agentic systems, these long-horizon failures remain poorly characterized, hindering principled diagnosis and comparison across domains. To address this gap, we