An adaptive framework for the axisymmetric pulsar magnetosphere using physics-informed Kolmogorov-Arnold networkstranslating…

arXiv:2606.10686v1 Announce Type: new Abstract: The pulsar magnetosphere has only recently been addressed using Physics-Informed Neural Networks (PINNs), by deploying a domain-decomposition approach and treating the separatrix and equatorial current sheet as infinitesimally thin discontinuities. However, this baseline requires extensive manual hyperparameter tuning, achieves limited final accuracy and demands several hours of training. We refine this framework by introducing domain-specific neu