:tada: Congrats to my former RA Baixin Li on his first discrete language model (DLM) watermarking paper accepted to EMNLP 2026 Findings, titled with “SAC-Copula: Quality-Preserving Watermarking for Diffusion Language Models via Smooth Correlated Gumbel Fields”. We study the problem of watermarking DLMs, which requires mechanisms compatible with iterative parallel unmasking rather than autoregressive decoding. We propose SAC-Copula, a quality-preserving watermarking method for DLMs based on smooth, locally correlated Gumbel perturbation fields constructed via a Gaussian copula.