DLMs encode a decodable latent timestep signal in residual activations that can be steered to predictably change model confidence and entropy.
arXiv preprint arXiv:2603.21342 , year=
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.AI 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Subliminal Clocks: Latent Time Modelling in Diffusion Language Models
DLMs encode a decodable latent timestep signal in residual activations that can be steered to predictably change model confidence and entropy.