---
title: "Who cites ENIGMA: Efficient — 13 citing papers"
description: "13 papers of the Elamur Research library cite «ENIGMA: Efficient Learning-based Inference Guiding Machine», found in their bibliographies…"
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---
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# Who cites «ENIGMA: Efficient Learning-based Inference Guiding Machine»

13 papers of our library cite it (of the 149,439 whose bibliographies we read) · 9 with a page here, the most cited first · [← back to «ENIGMA: Efficient Learning-based Inference Guiding Machine»](https://md.research.elamur.ai/free/en/papers/jakubuv-2017-enigma-efficient-learning-based-inference/)

1. **[ENIGMA-NG: Efficient Neural and Gradient-Boosted Inference Guidance for E](https://md.research.elamur.ai/free/en/papers/chvalovsky-2019-enigma-ng-efficient-neural-gradient/) [Lecture notes in computer science](https://md.research.elamur.ai/free/en/venues/lecture-notes-in-computer-science/)**Karel Chvalovský, Jan Jakubův, Martin Suda, et al.*2019 · 61 citations*
2. [**Reinforcement Learning of Theorem Proving arXiv:1805.07563**Cezary Kaliszyk, Josef Urban, Henryk Michalewski, et al.*2018 · 50 citations*](https://md.research.elamur.ai/free/en/papers/kaliszyk-2018-reinforcement-learning-theorem-proving/)
3. [**A Survey on Deep Learning for Theorem Proving arXiv:2404.09939**Zhaoyu Li, Jialiang Sun, Logan Murphy, et al.*2024 · 46 citations*](https://md.research.elamur.ai/free/en/papers/li-2024-survey-deep-learning-theorem-proving/)
4. **[ENIGMA Anonymous: Symbol-Independent Inference Guiding Machine (system description)](https://md.research.elamur.ai/free/en/papers/jakubuv-2020-enigma-anonymous-symbol-independent-inference/) [Lecture notes in computer science](https://md.research.elamur.ai/free/en/venues/lecture-notes-in-computer-science/)**Jan Jakubův, Karel Chvalovský, Miroslav Olšák, et al.*2020 · 42 citations*
5. **[Property Invariant Embedding for Automated Reasoning](https://md.research.elamur.ai/free/en/papers/olsak-2019-property-invariant-embedding-automated-reasoning/) [Frontiers in artificial intelligence and applications](https://md.research.elamur.ai/free/en/venues/frontiers-in-artificial-intelligence-and-applications/)**Miroslav Olšák, Cezary Kaliszyk, Josef Urban*2019 · 30 citations*
6. **[Towards Finding Longer Proofs](https://md.research.elamur.ai/free/en/papers/zombori-2019-finding-longer-proofs/) [Lecture notes in computer science](https://md.research.elamur.ai/free/en/venues/lecture-notes-in-computer-science/)**Zsolt Zombori, Adrián Csiszárik, Henryk Michalewski, et al.*2019 · 21 citations*
7. [**Graph2Tac: Online Representation Learning of Formal Math Concepts arXiv:2401.02949**Lasse Blaauwbroek, Miroslav Olšák, Jason Rute, et al.*2024 · 19 citations*](https://md.research.elamur.ai/free/en/papers/blaauwbroek-2024-graph2tac-online-representation-learning-formal/)
8. **[Deep Reinforcement Learning for Synthesizing Functions in Higher-Order Logic](https://md.research.elamur.ai/free/en/papers/gauthier-2019-deep-reinforcement-learning-synthesizing-functions/) [EPiC series in computing](https://md.research.elamur.ai/free/en/venues/epic-series-in-computing/)**Thibault Gauthier*2019 · 15 citations*
9. [**Learning to Prove from Synthetic Theorems arXiv:2006.11259**Eser Aygün, Zafarali Ahmed, Ankit Anand, et al.*2020 · 12 citations*](https://md.research.elamur.ai/free/en/papers/aygun-2020-learning-prove-synthetic-theorems/)

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

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