Unverified50% confidenceBenchmarkExact time
In 91% of dataset–model combinations, the average token entropy was close to zero regardless of whether the answer was correct or not.
1
Sources
50%
Confidence
Long-term
Relevance
9/21/2026
First Seen
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Related Claims
UnverifiedUnder the uniform transition case, the entropy rate of a Markov chain reaches its maximum value of log N, while under the deterministic transition case the entropy rate is 0.75% similarUnverifiedFinite-sample estimation of entropy rate faces a systematic negative bias problem, where plug-in estimators tend to underestimate the true entropy; this can be compensated using the Miller-Madow correction by adding a (k-1)/(2N) term.72% similarUnverifiedWhen calculated per byte, Shannon Entropy ranges from 0 to 8, with a value close to 8 indicating that the data is nearly completely random.71% similarUnverifiedFor ternary weight matrices dominated by zero values, their empirical entropy may well fall in the range of 1.0 to 1.3 bits.71% similarUnverifiedThe amount of effective information contributed by a single token in a watermarking system is typically between 0.01 and 0.1 bits, depending on the entropy of the original probability distribution.70% similar
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