How Good is Post-Hoc Watermarking With Language Model Rephrasing?
The authors study adding watermarks after the fact by having a model rewrite existing text while embedding tracking signals. They map how beam search, sampling tricks, and model size trade off between detection strength and text quality, and show watermarks work better on prose than on verifiable code. ([ar5iv.org](https://ar5iv.org/abs/2512.16904))
Pierre Fernandez, Tom Sander