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Repetition Mismatch: Why Data Mixture Experiments Don't Scale and How to Fix Them
Pre-training data mixtures are commonly tuned by running small-scale experiments and extrapolating to the target training budget. When high-quality data is scarce and must be repeated, this extrapolation frequently fails, but the source of the failure has not been isolated. We show that a primary cu
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