---
title: "Who cites One Token Is Enough: Improving — 2 citing papers"
description: "2 papers of the Elamur Research library cite «One Token Is Enough: Improving Diffusion Language Models with a Sink Token», found in their…"
canonical: "https://research.elamur.ai/free/en/papers/zhang-2026-one-token-is-enough-improving/cited-by/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/zhang-2026-one-token-is-enough-improving/cited-by/)

[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [One Token Is Enough: Improving Diffusion Language…](https://md.research.elamur.ai/free/en/papers/zhang-2026-one-token-is-enough-improving/) / cited by

# Who cites «One Token Is Enough: Improving Diffusion Language Models with a Sink Token»

2 papers of our library cite it (of the 149,439 whose bibliographies we read) · 2 with a page here, the most cited first · [← back to «One Token Is Enough: Improving Diffusion Language Models with a Sink Token»](https://md.research.elamur.ai/free/en/papers/zhang-2026-one-token-is-enough-improving/)

1. **[Attention Sinks in Diffusion Language Models](https://md.research.elamur.ai/free/en/papers/rulli-2026-attention-sinks-diffusion-language-models/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Maximo Eduardo Rulli, Simone Petruzzi, Edoardo Michielon, et al.*2026 · 5 citations*
2. **[Attention Sinks Are Provably Necessary in Softmax Transformers: Evidence from Trigger-Conditional Tasks](https://md.research.elamur.ai/free/en/papers/milo-2026-attention-sinks-are-provably-necessary/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yuval Ran-Milo*2026 · 1 citation*
- [← back to](https://md.research.elamur.ai/free/en/papers/zhang-2026-one-token-is-enough-improving/) — One Token Is Enough: Improving Diffusion Language Models with a Sink Token