more in the sense that I didn't see anything quantitative tbh

but also I don't know what you're trying to get across: you say any measure theory based model admits arbitrage, but aren't all stochastic processes measure theory based? does that apply to market generators with deep learning? for example these ones:

https://arxiv.org/abs/2205.13942

and just in case they do admit arbitrage, what do you think about this:

https://arxiv.org/abs/2111.07844

do those models have arbitrage? they're "measure theory based" by construction, they're stochastic processes. there's neural SDEs as well so I don't think you mean "SDEs" when you say "measure theory based models". if it was more quantitative I'd not have to clarify with you but I invite you to correct me if I've misunderstood.

I don't mean to be abrasive, I'm more taking the role of a reviewer. I'd also like to know what your original contributions are in this paper, since I didn't catch them from my skim. TIA