KG-DG fuses YOLO-derived lesion features with a frozen ViT via confidence-based fusion and claims gains in diabetic retinopathy domain generalization, but the central KL-divergence mechanism and the MDG headline are contradicted by the paper's own tables.
Gapless Coulomb state emerging from a self-dual topological tensor-network state
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abstract
In the tensor network representation, a deformed $Z_{2}$ topological ground state wave function is proposed and its norm can be exactly mapped to the two-dimensional solvable Ashkin-Teller (AT) model. Then the topological (toric code) phase with anyonic excitations corresponds to the partial order phase of the AT model, and possible topological phase transitions are precisely determined. With the electric-magnetic self-duality, a novel gapless Coulomb state with quasi-long-range order is obtained via a quantum Kosterlitz-Thouless phase transition. The corresponding ground state is a condensate of pairs of logarithmically confined electric charges and magnetic fluxes, and the scaling behavior of various anyon correlations can be exactly derived, revealing the effective interaction between anyons and their condensation. Deformations away from the self-duality drive the Coulomb state into either the gapped Higgs phase or confining phase.
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Single Domain Generalization in Diabetic Retinopathy: A Neuro-Symbolic Learning Approach
KG-DG fuses YOLO-derived lesion features with a frozen ViT via confidence-based fusion and claims gains in diabetic retinopathy domain generalization, but the central KL-divergence mechanism and the MDG headline are contradicted by the paper's own tables.