---
title: "Who cites LogitSpec: Accelerating — 6 citing papers"
description: "6 papers of the Elamur Research library cite «LogitSpec: Accelerating Retrieval-based Speculative Decoding via Next Next Token…"
canonical: "https://research.elamur.ai/free/en/papers/liu-2026-logitspec-accelerating-retrieval-based-speculative/cited-by/"
---
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[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [LogitSpec: Accelerating Retrieval-based…](https://md.research.elamur.ai/free/en/papers/liu-2026-logitspec-accelerating-retrieval-based-speculative/) / cited by

# Who cites «LogitSpec: Accelerating Retrieval-based Speculative Decoding via Next Next Token Speculation»

6 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 «LogitSpec: Accelerating Retrieval-based Speculative Decoding via Next Next Token Speculation»](https://md.research.elamur.ai/free/en/papers/liu-2026-logitspec-accelerating-retrieval-based-speculative/)

1. **[LongSpec: Long-Context Lossless Speculative Decoding with Efficient Drafting and Verification](https://md.research.elamur.ai/free/en/papers/yang-2026-longspec-long-context-lossless-speculative/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Penghui Yang, Cunxiao Du, Fengzhuo Zhang, et al.*2026 · 5 citations*
2. **[RACER: Retrieval-Augmented Contextual Rapid Speculative Decoding](https://md.research.elamur.ai/free/en/papers/zhang-2026-racer-retrieval-augmented-contextual-rapid/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zihong Zhang, Zuchao Li, Lefei Zhang, et al.*2026 · 1 citation*

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

- [← back to](https://md.research.elamur.ai/free/en/papers/liu-2026-logitspec-accelerating-retrieval-based-speculative/) — LogitSpec: Accelerating Retrieval-based Speculative Decoding via Next Next Token Speculation
