---
title: "Who cites All for One: LLMs Solve Mental — 6 citing papers"
description: "6 papers of the Elamur Research library cite «All for One: LLMs Solve Mental Math at the Last Token With Information Transferred From…"
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---
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# Who cites «All for One: LLMs Solve Mental Math at the Last Token With Information Transferred From Other Tokens»

6 papers of our library cite it (of the 149,439 whose bibliographies we read) · 3 with a page here, the most cited first · [← back to «All for One: LLMs Solve Mental Math at the Last Token With Information Transferred From Other Tokens»](https://md.research.elamur.ai/free/en/papers/mamidanna-2025-all-one-llms-solve-mental/)

1. **[Internal Chain-of-Thought: Empirical Evidence for Layer-wise Subtask Scheduling in LLMs](https://md.research.elamur.ai/free/en/papers/yang-2025-internal-chain-thought-empirical-evidence/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Zhipeng Yang, Junzhuo Li, Siyu Xia, et al.*2025 · 7 citations*
2. **[SSA: Improving Performance With a Better Scoring Function](https://md.research.elamur.ai/free/en/papers/naim-2026-ssa-improving-performance-better-scoring/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Omar Naim, Swarnadeep Bhar, Jerome Bolte, et al.*2026 · 1 citation*
3. **[Word Surprisal Correlates with Sentential Contradiction in LLMs](https://md.research.elamur.ai/free/en/papers/shi-2026-word-surprisal-correlates-sentential-contradiction/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Ning Shi, Bradley Hauer, David Basil, et al.*2026*

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

- [← back to](https://md.research.elamur.ai/free/en/papers/mamidanna-2025-all-one-llms-solve-mental/) — All for One: LLMs Solve Mental Math at the Last Token With Information Transferred From Other Tokens