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Most current PPG foundation models fail to generalize, with over 80% not outperforming simple PRV features or generic time-series models.
Dense attention drowns low-SNR, multi-channel data in spurious cross-token noise; factorizing attention into orthogonal spatial and temporal paths with adaptive gating systematically outperforms isotropic Transformers on neural and audio signals.