Why wouldn't the information theory proofs hold up?
Fun puzzle: Suppose I give you coin you can flip with some bias (weight). Maybe 75% of coin flips are heads. Maybe its 65%. You don't know.
You want to generate a sequence of bits with uniform randomness (exactly 50%). Without first sampling the coin & calculating the bias, how do you generate the uniform sequence of bits?
The answer to that puzzle would probably work fine for your theoretical one time pad.
Also, in practice I suspect most of the obvious ways your random noise circuit could be broken could be detected using statistical methods. You can't use math to prove a random number generator is truly random. But you can certainly detect a lot of common failure modes of "random" number sources.