It is definitely blurrier whether you can say this approach changes the distribution then. By definition, it _has_ to change the probabilities of output tokens, but it's not totally clear that the pseudorandomly generated scoring functions does affect the learned distribution.
put another way, I think it's safer to do:
compute distribution -> sample -> watermark from sampled options
than it would be to do:
compute distribution -> watermark distribution -> sample
It is definitely blurrier whether you can say this approach changes the distribution then. By definition, it _has_ to change the probabilities of output tokens, but it's not totally clear that the pseudorandomly generated scoring functions does affect the learned distribution.
put another way, I think it's safer to do:
compute distribution -> sample -> watermark from sampled options
than it would be to do:
compute distribution -> watermark distribution -> sample