Learning Lax Pairs: Revisiting the Classical Paradigm
This paper challenges the conventional view of Lax pairs as strict structural certificates of integrability by demonstrating through five case studies and the Sparse Identification of Lax Operators (SILO) framework that compatibility conditions often underdetermine the representation, allowing "anomalous" or "fake" pairs to still generate full conservation hierarchies and thus revealing a more nuanced landscape than the binary distinction between true and fake Lax pairs.