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CanvasAnneal: Curriculum Reinforcement Learning for Diffusion Language Models

Blake Olson, Yuhang Song, Emmett McQuinn, Yuan Shangguan

Starts diffusion-model reinforcement learning with teacher-written reasoning partially filled into the output, then gradually removes that guidance. Tests whether this curriculum improves exploration on mathematics and tool-use tasks; inference still produces textual reasoning.

First public: · Added to this list: October 18, 2026

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arXiv:2609.13060 · Initial submission: 2026-09-11

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Alternative generation methods — Change how intermediate steps are generated, revised, or searched—for example, by refining several steps in parallel. These are related approaches: some still produce written chains of thought.

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