Staying on Task: Testing the Foundations of Long-Horizon Agent Reliability
Long-horizon agentic workflows require models to sustain repeated state-dependent actions all while the context grows, sub-task complexity changes, and new data arrives. Each situation represents an independent axis along which an agent may fail. An agent reconciling a long ledger, for example, must repeatedly read its...
Jeffrey Willette, Krishna C. Puvvada, Boris Ginsburg
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