We investigate the statistical and computational limits of latent diffusion transformers (DiTs), assuming the data is supported on an unknown low-dimensional linear subspace.

These dynamics pose significant challenges in forecasting.

In ICL, a conditional generative model (CGM) is prompted with a dataset and a prediction question and asked to generate a response.