Unverified50% confidenceFactExact time
The decision model evaluates state against bounded criteria and returns a decision score without producing an open-ended token stream, and runs in milliseconds.
1
Sources
50%
Confidence
Long-term
Relevance
10/5/2026
First Seen
Sources
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Related Claims
UnverifiedThe output of a judgment-type decision model is a closed, structured result, which is essentially a classification or regression task involving a single forward pass, with no autoregressive iteration overhead.77% similarUnverifiedThe decision model does not produce a free-form token stream, but instead evaluates the current state against a bounded hypothesis space.77% similarUnverifiedSystem-1 decision models directly output classification probabilities in a single forward pass, completing decisions at extremely low cost and latency.77% similarUnverifiedIn a single one-step denoising step, the model directly reads out the probability distribution for each answer slot rather than sampling token by token.74% similarUnverifiedWhen a model fails to converge after a long time, one should first examine whether the input state representation is reasonable, rather than blindly tuning hyperparameters.74% similar
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