My understanding is, if we look at the function
torchvision.transforms.RandomResizedCrop(size, scale=(0.08, 1.0), ratio=(0.75, 1.3333333333333333), interpolation=2)

That the image will be randomly cropped between 0.08 to 1 of the original, then given a random aspect ratio of 0.75 to 1 1/3. Then this final image is RESIZED to 256.
So taking your example, yes, if the original image is 1024 * 1024, it can be cropped down to 60%, then a random aspect ratio is applied, and then it is finally resized to 256 (if you set size=256 in the function).
You can of course double check all of this by putting through some images and checking the outputs.
EDIT: the interplay between aspect ratio and scale are somewhat non-obvious tbh. On second reading of the source code it seems that the AREA of the image is scaled down, and then this is fit the an aspect ratio, and then finally resized to 256 *256.
So in your example scaling the image by 60% would mean (keeping aspect ratio at 1), each side would be: sqrt(0.6) * 1024.