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Adaptive spectral control on the directed Cora citation network achieved approximately 21.5% reduction in spectral level under 0.5% edge-weight budget with no loss in test accuracy

On the directed Cora citation network, adaptive recomputation of the right--left sensitivity reduces the distinguished spectral level by approximately $21.5\%$ under a cumulative edge-weight reduction budget of $0.5\%$, with no observed change in test accuracy for the trained model and data split considered.
Machine Learning30 Aug 2026

http://arxiv.org/abs/2608.27122v1