Reading a paper is not the same as verifying the results is not the same as certifying their correctness. I read a lot of papers, but I typically only look at the underlying data when I intend to repurpose it for something else, and when I do, I tend to notice errors in the ground truth labels fairly quickly. Of course most models don't perform well enough for this to influence results much...