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Explaining why reinforcement learning induces verification but not meta-cognitive monitoring

Explain the underlying mechanisms by which reinforcement learning training induces verification behaviors in large language models but fails to produce meta-cognitive monitoring or representational restructuring.

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Background

The authors synthesize evidence that reinforcement learning tends to induce verification behaviors, while other desired cognitive elements—such as meta-cognitive monitoring and representational restructuring—do not emerge spontaneously.

This asymmetry remains unexplained, and understanding it is crucial for designing training regimes that elicit a broader set of reasoning capabilities.

References

We cannot explain why RL produces verification but not meta-cognitive monitoring, or whether architectural prerequisites exist for specific behaviors versus emerging from scale \citep{le2025reasoning, das2025can}.

Cognitive Foundations for Reasoning and Their Manifestation in LLMs (2511.16660 - Kargupta et al., 20 Nov 2025) in Section: Opportunities and Challenges — Predicting cognitive capabilities from training procedure