va-pi-pixel-ar

Align autoregressive image models with pixel-space quality via variational optimization. Formulates alignment as ELBO combining reconstruction (pixel supervision) and prior regularization (token distribution), treating model as RL policy with tokenizer reconstruction as reward—achieving 86.6% cost reduction vs standard RL fine-tuning.

Independent GitHub snapshot · Automated classification · Original documentation governs