Summary

Anthropic says the method changes low-stakes token choices without adding hidden characters, extra tokens, or generation cost. It expects executable code to be less affected because exact output matters, while comments and natural-language material may show stronger watermarking.

Why it matters

The approach could support provenance and regulatory workflows for generated software documentation and comments, but small samples and edited text will remain difficult to classify reliably.

Sources