SOURCE-LINKED INTELLIGENCE
Kolmogorov--Arnold stability for discontinuous functions
Here we investigate the stability of the Kolmogorov--Arnold representation theorem (KART) under adversarial reparameterisations of the hidden layer for multivariate discontinuous and unbounded functions. Our results provide a rigorous mathematical foundation for the structural robustness of modern deep learning architectures, such as Kolmogorov--Arnold Networks (KANs), under adversarial configurations.
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-07T08:58:43.000Z
First collected: 2026-09-20T20:52:10.320Z. This is not the publication date.