Transformers Represent Belief State Geometry in their Residual Stream. - Adam S. Shai; Lucas Teixeira; Alexander Gietelink Oldenziel; Sarah Marzen; Paul M. Riechers (NeurIPS, 2024)

Constrained belief updates explain geometric structures in transformer representations. - Mateusz Piotrowski; Paul M. Riechers; Daniel Filan; Adam S. Shai (CoRR, 2025)

Next-token pretraining implies in-context learning. - Paul M. Riechers; Henry R. Bigelow; Eric A. Alt; Adam S. Shai (CoRR, 2025)

Neural networks leverage nominally quantum and post-quantum representations. - Paul M. Riechers; Thomas J. Elliott; Adam S. Shai (CoRR, 2025)