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Coupled Scaling: A Representational Accessibility Framework for Neural Scaling Laws
We ask when two learning systems trained on the same task under a common resource protocol should share a scaling rate and when their rates should differ. Coupled Scaling answers this through representational accessibility: the task-relevant geometry that a specified architecture-optimization system
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