---
title: "Who cites MambaByte: Token-free Selective State Space Model"
description: "28 papers of the Elamur Research library cite «MambaByte: Token-free Selective State Space Model», found in their bibliographies; the most…"
canonical: "https://research.elamur.ai/free/en/papers/wang-2024-mambabyte-token-free-selective-state/cited-by/"
---
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[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [MambaByte: Token-free Selective State Space Model](https://md.research.elamur.ai/free/en/papers/wang-2024-mambabyte-token-free-selective-state/) / cited by

# Who cites «MambaByte: Token-free Selective State Space Model»

28 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 «MambaByte: Token-free Selective State Space Model»](https://md.research.elamur.ai/free/en/papers/wang-2024-mambabyte-token-free-selective-state/)

1. [**Scaling Laws with Vocabulary: Larger Models Deserve Larger Vocabularies arXiv:2407.13623**Chaofan Tao, Qian Liu, Longxu Dou, et al.*2024 · 46 citations*](https://md.research.elamur.ai/free/en/papers/tao-2024-scaling-laws-vocabulary-larger-models/)
2. [**Uncertainty Distillation: Teaching Language Models to Express Semantic Confidence arXiv:2503.14749**Sophia Hager; David Mueller; Kevin Duh;, Nicholas Andrews*2025 · 5 citations*](https://md.research.elamur.ai/free/en/papers/hager-2025-uncertainty-distillation-teaching-language-models/)
3. **[FLEXITOKENS: Flexible Tokenization for Evolving Language Models](https://md.research.elamur.ai/free/en/papers/owodunni-2026-flexitokens-flexible-tokenization-evolving-language/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Abraham Toluwase Owodunni, Orevaoghene Ahia, Sachin Kumar*2026 · 3 citations*
4. **[FFT-UniBa at Cruciverb-IT: Special Length Tokens and CSP for Italian Crossword Solving](https://md.research.elamur.ai/free/en/papers/porcelli-2026-fft-uniba-cruciverb-it-special/) [Evaluation Campaign of Natural Language Processing and Speech Tools for Italian. Final Workshop](https://md.research.elamur.ai/free/en/venues/evalita/)**Andrea Porcelli, Filippo Di Gravina, Emanuele Fontana, et al.*2026 · 1 citation*

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

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