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Conditional flow models hallucinate non-additive scientific interactions even when achieving high aggregate fidelity, failing to generalize interaction structure when condition patterns diverge.
Accurate predictions don't guarantee reliable uncertainty estimates, revealing critical gaps in current evaluation methods.