Here is a paper if you are interested. https://arxiv.org/pdf/2311.13681.pdf
The key is not to compress but to leverage the property of neural radiance fields and optimize for entropy. I suspect NERF can yield more compact storage since it's volumetric.
Not sure what you mean by "unacceptably low up close". Most GS demos don't have LoD lol.