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The truth direction in linear probes is robust to writing style and medical specialty but falters dramatically with specific corpus shifts, revealing hidden vulnerabilities in medical QA systems.
Uncertainty estimation in clinical VLMs fails to signal when models are unreliable, but it can predict which predictions are likely to fail under stress.
