Unverified50% confidenceFactExact time
Prior error refers to the gap between the synthetic prior and the true data distribution, context error refers to insufficient information caused by finite context samples, and amortization error refers to the approximation bias of the network itself in approximating the target PPD.
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50%
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Long-term
Relevance
10/12/2026
First Seen
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