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About this paper
Yuhang Cao
CID proposes a diffusion-model runtime that acts on emerging evidence needs before a complete tool request is ready. It maintains protected facts, a revisable Typed Cognitive Tensor, and a revisable answer canvas, linked to sources through persistent bindings. Results can be reused or refreshed while denoising continues. The paper reports no measured performance gains.
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