---
title: "Who cites MorphMark: Flexible Adaptive — 8 citing papers"
description: "8 papers of the Elamur Research library cite «MorphMark: Flexible Adaptive Watermarking for Large Language Models», found in their…"
canonical: "https://research.elamur.ai/free/en/papers/wang-2025-morphmark-flexible-adaptive-watermarking-large/cited-by/"
---
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# Who cites «MorphMark: Flexible Adaptive Watermarking for Large Language Models»

8 papers of our library cite it (of the 149,439 whose bibliographies we read) · 4 with a page here, the most cited first · [← back to «MorphMark: Flexible Adaptive Watermarking for Large Language Models»](https://md.research.elamur.ai/free/en/papers/wang-2025-morphmark-flexible-adaptive-watermarking-large/)

1. **[A Linguistics-Aware LLM Watermarking via Syntactic Predictability](https://md.research.elamur.ai/free/en/papers/park-2026-linguistics-aware-llm-watermarking-syntactic/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Shinwoo Park, Hyejin Park, Hyeseon An, et al.*2026*
2. **[EntroBench: Evaluating LLM Watermarking Under Multi-Entropy Scenarios and Practical User Operations](https://md.research.elamur.ai/free/en/papers/qin-2026-entrobench-evaluating-llm-watermarking-under/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Pengyuan Qin, Linnan Tu, Yuhan Ke, et al.*2026*
3. **[Rethinking LLM Watermark Detection in Black-Box Settings: A Non-Intrusive Third-Party Framework](https://md.research.elamur.ai/free/en/papers/wang-2026-rethinking-llm-watermark-detection-black/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zhuoshang Wang, Yubing Ren, Yanan Cao, et al.*2026*
4. **[XMark: Reliable Multi-Bit Watermarking for LLM-Generated Texts](https://md.research.elamur.ai/free/en/papers/xu-2026-xmark-reliable-multi-bit-watermarking/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jiahao Xu, Rui Hu, Olivera Kotevska, et al.*2026*

4 more papers of our library cite it; they have no page here yet.

- [← back to](https://md.research.elamur.ai/free/en/papers/wang-2025-morphmark-flexible-adaptive-watermarking-large/) — MorphMark: Flexible Adaptive Watermarking for Large Language Models