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D sequence before optimizing the TTT objective Eq. 3. Intuitively, by applying, D, which is more suitable for image structures than the 1鈥婦, R, degrades under unordered inputs, as shown in Tab. 3. 4.2 Large-Scale
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Ditch quadratic scaling in 3D reconstruction: VGG-T$^3$ achieves linear scaling and a 11.6x speed-up by distilling scene geometry into a fixed-size MLP.
Test-time training with KV binding isn't memorization, it's secretly a learned linear attention mechanism, unlocking architectural simplifications and parallelization.
