Unverified50% confidenceSolutionExact time
SlideRuler first learns a transfer map using paired repeat scans, and at inference time calibrates only a single scan, keeping the foundation model parameters unchanged throughout the process
1
Sources
50%
Confidence
Long-term
Relevance
10/8/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedInference-time guidance steers sampling trajectories toward regions consistent with observations by adding the gradient of the observation likelihood at each step of reverse diffusion or flow, without requiring model retraining.73% similarUnverifiedThe core assumption of the transfer map is that the feature shift from the source scanner to the target scanner is approximately a structured transformation at the global level, which can be learned from paired samples73% similarUnverifiedOverfitting refers to a model being repeatedly tuned on a validation or test set until it memorizes the characteristics of that data rather than genuinely learning generalizable capabilities73% similarUnverifiedThis approach embodies a compute-shifting philosophy that moves the computational burden from repeated test attempts to a one-time learning investment.69% similarUnverifiedRolling preview refers to a model's continuous iteration by frequently pushing checkpoints before official release, where capabilities between adjacent versions may exhibit inconsistent fluctuations rather than monotonic improvement.68% similar
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