I would say

“Understanding Deep Learning Requires REMEMBERING Generalization”

https://calculatedcontent.com/2018/04/01/rethinking-or-remem...

https://arxiv.org/abs/1710.09553

We can understand this using the traditional theory of Statistical Mechanics of Generalization

Briefly, shuffling the labels corresponds to decreasing the effective load on the Neural Network, which pushes the system into the spin glass phase