---
title: "Who cites PonderNet: Learning to Ponder — 39 citing papers"
description: "39 papers of the Elamur Research library cite «PonderNet: Learning to Ponder», found in their bibliographies; the most cited first."
canonical: "https://research.elamur.ai/free/en/papers/banino-2021-pondernet-learning-ponder/cited-by/"
---
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# Who cites «PonderNet: Learning to Ponder»

39 papers of our library cite it (of the 149,439 whose bibliographies we read) · 12 with a page here, the most cited first · [← back to «PonderNet: Learning to Ponder»](https://md.research.elamur.ai/free/en/papers/banino-2021-pondernet-learning-ponder/)

1. [**Show your work: Scratchpads for intermediate computation with language models***2021 · 473 citations*](https://md.research.elamur.ai/free/en/papers/al-2021-show-your-work-scratchpads-intermediate/)
2. [**Faithful Reasoning Using Large Language Models arXiv:2208.14271**Antonia Creswell, Murray Shanahan*2022 · 122 citations*](https://md.research.elamur.ai/free/en/papers/creswell-2022-faithful-reasoning-using-large-language/)
3. **[Large Language Models Are Human-Like Internally](https://md.research.elamur.ai/free/en/papers/kuribayashi-2025-large-language-models-are-human/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Tatsuki Kuribayashi, Yohei Oseki, Souhaib Ben Taieb, et al.*2025 · 30 citations*
4. [**Scaling Latent Reasoning via Looped Language Models arXiv:2510.25741**Rui-Jie Zhu, Zixuan Wang, Kai Hua, et al.*2025 · 22 citations*](https://md.research.elamur.ai/free/en/papers/zhu-2025-scaling-latent-reasoning-looped-language/)
5. [**Learning How Hard to Think: Input-Adaptive Allocation of LM Computation arXiv:2410.04707**Mehul Damani, Idan Shenfeld, Andi Peng, et al.*2024 · 22 citations*](https://md.research.elamur.ai/free/en/papers/damani-2024-learning-hard-think-input-adaptive/)
6. **[Learning to Reason and Memorize with Self-Notes](https://md.research.elamur.ai/free/en/papers/lanchantin-2023-learning-reason-memorize-self-notes/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Jack Lanchantin, Shubham Toshniwal, Jason Weston, et al.*2023 · 21 citations*
7. [**ModuleFormer: Modularity Emerges from Mixture-of-Experts arXiv:2306.04640**Yikang Shen, Zheyu Zhang, Tianyou Cao, et al.*2023 · 21 citations*](https://md.research.elamur.ai/free/en/papers/shen-2023-moduleformer-modularity-emerges-mixture-experts/)
8. [**Looped Transformers for Length Generalization arXiv:2409.15647**Ying Fan, Yilun Du, Kannan Ramchandran, et al.*2024 · 13 citations*](https://md.research.elamur.ai/free/en/papers/fan-2024-looped-transformers-length-generalization/)
9. [**End-to-end Algorithm Synthesis with Recurrent Networks: Logical Extrapolation Without Overthinking arXiv:2202.05826**Arpit Bansal, Avi Schwarzschild, Eitan Borgnia, et al.*2022 · 12 citations*](https://md.research.elamur.ai/free/en/papers/bansal-2022-end-end-algorithm-synthesis-recurrent/)
10. [**Learning Iterative Reasoning through Energy Diffusion arXiv:2406.11179**Yilun Du, Jiayuan Mao, Joshua B. Tenenbaum*2024 · 11 citations*](https://md.research.elamur.ai/free/en/papers/du-2024-learning-iterative-reasoning-through-energy/)
11. **[Listen, Pause, and Reason: Toward Perception-Grounded Hybrid Reasoning for Audio Understanding](https://md.research.elamur.ai/free/en/papers/wang-2026-listen-pause-reason-perception-grounded/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Jieyi Wang, Yazhe Niu, Dexuan Xu, et al.*2026 · 1 citation*
12. **[LoopCoder: Scaling Code Intelligence via Looped Language Models](https://md.research.elamur.ai/free/en/papers/yang-2026-loopcoder-scaling-code-intelligence-looped/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Jian Yang, Wei Zhang, Shuyue Guo, et al.*2026*

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

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