Unverified50% confidenceFactExact time
Under one-hot encoding, directly computing leverage scores along the direction of greatest data variation (maximum variance) fails, because the indicator columns of frequent actions have large variance, so rare transitions cannot be identified.
1
Sources
50%
Confidence
Long-term
Relevance
11/5/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedModels have no addressable registers or carry chains internally, so operations requiring precise intermediate state, such as multi-digit addition and subtraction and cross-row aggregation, can only rely on pattern approximations learned from training data, and the error probability rises rapidly as the number of digits grows or carries and borrows occur.75% similarUnverifiedFloating-point operations do not satisfy the associative law, and differences in execution order among thread warps can lead to subtle numerical deviations in results.73% similarUnverified确定性回放策略只记录玩家输入序列，存储成本极低但对代码确定性要求严苛，浮点数精度差异都可能导致回放偏差72% similarUnverifiedDecoding from continuous representations to discrete tokens is an error-prone step; minor deviations in the embedding space can lead to decoding errors, and quantization errors are amplified as sequence length grows.71% similarUnverifiedA drawback of autoregressive decoding is that inference speed is linearly constrained by sequence length.70% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1137759API
curl https://kongchang.com/api/v1/knowledge/claims/1137759MCP
get_claim(id=1137759)