Internalizes context-induced performance gains into model parameters by generating prospective queries and distilling context-conditioned outputs into mergeable low-rank or structural feed-forward updates, balancing consolidation and retention across 4B–120B dense and MoE models.
Provides a large corpus of runnable 3D programs and a multi-agent harness that generates, executes, measures, visually judges, and repairs executable 3D code to produce editable, verifiable 3D scenes. Includes ~269K runnable programs, 2.03M render–caption pairs, and an automated execution+repair pipeline.