This is true of nearly every field that necessitates operational representation of nonlinear dynamics, linearize for a good enough answer, leave the actual dynamics to future researchers, rinse, repeat…
It was my pet peeve when i started research on ML in 2020 and it will remain so for many years to come. Ive even seen papers introduce manifold structures and associated diffgeom notions, to then just proceed with vectors and linear algebra...