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This paper analyzes oversmoothing in Neural Sheaf Diffusion (NSD) as a representation degeneracy phenomenon using quiver theory and Geometric Invariant Theory. It proposes moment-map-inspired regularizers and explores non-uniform stalk dimensions to mitigate this issue in heterophilic graph benchmarks.