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Probing Proton Structure via Physics-Guided Neural Networks in Holographic QCD
Describing the proton structure function $F_2(x,Q^2)$ across the nonperturbative and transition regimes of QCD remains a major theoretical challenge. We construct a physics-guided phenomenological representation combining fermion-resonance and Pomeron-like AdS/QCD basis functions with a neural param
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