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Inside the Latent Flow: Causal Deciphering of Attention Dynamics in Audio Separation Foundation Models

Yuxuan Chen, Haoyuan Yu, Peize He
Thursday at 04:00
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arXiv:2606.10046v2 Announce Type: replace-cross Abstract: Flow-matching transformers achieve strong audio separation, yet their attention dynamics are opaque. We adapt established causal-intervention principles into a deterministic, inference-time probing protocol for SAM Audio. Orthogonal probing uncovers a dual-pathway text-conditioning...

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