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In Bayesian inverse problems, the score function of the noised posterior generally cannot be obtained from the prior score alone.
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11/3/2026
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UnverifiedAfter fine-tuning, downstream accuracy cannot distinguish between different parameterizations.73% similarUnverifiedTwo consistent results (both passing or both failing) cannot serve as valid evidence for skipping a test; only a 'disagreement' — a change in result with the fixture bytes unchanged — constitutes the minimum valid observation72% similarUnverifiedTraditional means such as prompt constraints or post-hoc validation by output parsers are either insufficiently reliable or can only handle failures passively after a call fails.72% similarUnverifiedThis result is currently for polynomial activation functions and compact input sets; whether the per-sample error method can still give explicit constants for more general activation functions is not asserted in the original text.71% similarUnverifiedThe key observation of Score Centering is that the drift term originates from the nonzero expectation of the score function under Q, so subtracting that expectation exactly cancels it without affecting the covariance signal.71% similar
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