They reference a paper using initial noisy data as a key, mapping to a "jump-ahead" value of a previous example. I think this is very cool and clever, and does

They reference a paper using initial noisy data as a key, mapping to a "jump-ahead" value of a previous example. I think this is very cool and clever, and does use a diffusion model. But I don't see how this Deep Researcher actually uses diffusion at all. So it seems wrong to say "test-time diffusion" just because you liken an early text draft with noise in a diffusion model, then use RAG to retrieve a potential polished version of said text draft?