Masked diffusion generates controllable chess puzzles and nearly doubles valid yield with reinforcement learning

A 268-million-parameter masked diffusion model generates chess positions conditioned on tactical themes, partial boards and best moves. Reinforcement learning raises the share with both a unique solution and matching themes from 22.37 percent to 42.32 percent.