Krishna C. Puvvada

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...