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No Time to Collapse: Unlocking Robustness and Multiplexed Capacity in Frozen Audio Watermarkers
Modern neural audio watermarking systems typically embed a message repeatedly across time and then collapse the resulting temporal evidence into a single payload using averaging, voting, or another fixed aggregation rule. We argue that this temporal collapse limits both robustness and the recovery o
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