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Achieve high-fidelity video generation without compromising reasoning by progressively handing off generation from a lightweight, reasoning-aligned generator to a high-capacity pretrained generator in a shared latent space.
Subject-specific variability in biomedical time-series can be mitigated by explicitly aligning spectral structure, leading to a 6% F1-score improvement over existing methods.
