---
title: "Who cites Chain-of-Thought Compression — 3 citing papers"
description: "3 papers of the Elamur Research library cite «Chain-of-Thought Compression Should Not Be Blind: V-Skip for Efficient Multimodal Reasoning…"
canonical: "https://research.elamur.ai/free/en/papers/zhang-2026-chain-thought-compression-should-not/cited-by/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/zhang-2026-chain-thought-compression-should-not/cited-by/)

[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Chain-of-Thought Compression Should Not Be Blind…](https://md.research.elamur.ai/free/en/papers/zhang-2026-chain-thought-compression-should-not/) / cited by

# Who cites «Chain-of-Thought Compression Should Not Be Blind: V-Skip for Efficient Multimodal Reasoning via Dual-Path Anchoring»

3 papers of our library cite it (of the 149,439 whose bibliographies we read) · 1 with a page here, the most cited first · [← back to «Chain-of-Thought Compression Should Not Be Blind: V-Skip for Efficient Multimodal Reasoning via Dual-Path Anchoring»](https://md.research.elamur.ai/free/en/papers/zhang-2026-chain-thought-compression-should-not/)

1. **[HearSay Benchmark: Do Audio LLMs Leak What They Hear?](https://md.research.elamur.ai/free/en/papers/wang-2026-hearsay-benchmark-do-audio-llms/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Jin Wang, Kaiwen Luo, Liang Lin, et al.*2026*

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

- [← back to](https://md.research.elamur.ai/free/en/papers/zhang-2026-chain-thought-compression-should-not/) — Chain-of-Thought Compression Should Not Be Blind: V-Skip for Efficient Multimodal Reasoning via Dual-Path Anchoring