Text Latent (Arm A) vs All Latent (Arm B) — Zebra CoT + ThinkMorph 35638 samples/arm, 18 categories. Schema = ULVR/williamium style (sample id, category, source dataset, question, answer, input image, intermediate image N, num intermediate steps, messages json). armA text latent : real decoded text CoT + latent visual blocks (intermediate image 1..3). armB render latent : reasoning text RENDERED to images, all latent baseline (intermediate image 1..17). messages json = full Monet training record. See DETAILS.md for OOM diagnosis + b200 run plan.
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