Definition
When an AI agent's reasoning ends up looking the same on every problem because training has stamped it into a single shape.
A failure mode in agentic RL where the policy retains within-input output diversity but loses mutual information between input and reasoning trace, producing fluent-looking but input-agnostic templates; detectable via cross-prompt likelihood scoring even when entropy looks healthy.