AI RESEARCH
Spectral Reach: Understanding Neural Scaling as Progress into the Spectral Tail
arXiv CS.LG
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ArXi:2605.31244v1 Announce Type: new Neural scaling laws describe predictable power-law relationships between model size, dataset size, compute, and performance. While these laws guide the development of modern foundation models, the mechanisms underpinning them remain poorly understood, in part due to the absence of scalable analysis tools. To close this gap, we