Unverified50% confidenceCautionExact time
Any change to the normalization implementation must not be judged on throughput alone; the token output must also be verified to be exactly identical.
1
Sources
50%
Confidence
Long-term
Relevance
10/16/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedOnce the solver takes over and produces a deterministic conclusion, the same input always yields the same output, with no probabilistic fabrication.71% similarUnverifiedCalibration is only meaningful for repeatable predictions and must be estimated from paired prediction-outcome samples; it cannot be read off a single output.71% similarUnverifiedTraditional accuracy metrics cannot distinguish whether a model is reasoning from structure or directly copying answers already printed in the input.69% similarUnverifiedBatch inference requires the output structure to be strictly aligned with the input order, and the model must not reduce its discriminative power for individual items as the context grows longer.67% similarUnverified一致性正则化的基本假设是对同一输入样本施加不同扰动时模型输出应保持一致67% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1042235API
curl https://kongchang.com/api/v1/knowledge/claims/1042235MCP
get_claim(id=1042235)