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CALR: Continuous Anchored Latent Reasoning via Render-of-Thought Compression
Visual latent reasoning compresses rendered derivations into compact intermediate states, reducing textual reasoning overhead. Existing approaches differ in how they represent these states: continuous methods avoid vocabulary constraints, whereas discrete methods improve accuracy through quantizatio
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