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Large language models are forced to respond to user queries even when those queries are ill-posed, underspecified, or undecidable under the available context. Existing systems typically resolve this pressure by forcing a binary or probabilistic collapse, resulting in hallucinated justifications, false confidence, and opaque failures.
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