A compression statistic's observation leaves a fiber of compatible endpoint-risk tables, so only orders fixed across that fiber are identified, and stable scores can still select worse group-robust models.
Why Do Some Inputs Break Low-Bit LLM Quantization?
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When Compression Scores Cannot Decide: Information Boundaries for Group-Robust LLM Pruning
A compression statistic's observation leaves a fiber of compatible endpoint-risk tables, so only orders fixed across that fiber are identified, and stable scores can still select worse group-robust models.