Token Time Continuous Diffusion for Language Modeling

Token Time Continuous Diffusion (TTCD) maps Gaussian noise to a discrete token canvas in continuous space using per-token time schedules. This method enables certain tokens to converge faster than others during refinement, improving conditional generation. By operating in continuous space, the model avoids the inaccuracies associated with parallel discrete token sampling.