I agree with you, if we want to test the architecture, we should use the same training procedure, including pre-training.

My theory is, that given the current results of GPT-like models, which use transformers under the hood, and given the fact that these groups have the compute power and data to train non-attention based recurrent models, it's quite unlikely that the architecture isn't a main contributor.