---
title: "Who cites Guiding High-Performance SAT — 11 citing papers"
description: "11 papers of the Elamur Research library cite «Guiding High-Performance SAT Solvers with Unsat-Core Predictions», found in their…"
canonical: "https://research.elamur.ai/free/en/papers/selsam-2019-guiding-high-performance-sat-solvers/cited-by/"
---
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# Who cites «Guiding High-Performance SAT Solvers with Unsat-Core Predictions»

11 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 «Guiding High-Performance SAT Solvers with Unsat-Core Predictions»](https://md.research.elamur.ai/free/en/papers/selsam-2019-guiding-high-performance-sat-solvers/)

1. [**LIME: Learning Inductive Bias for Primitives of Mathematical Reasoning arXiv:2101.06223**Yuhuai Wu, Markus Rabe, Wenda Li, et al.*2021 · 39 citations*](https://md.research.elamur.ai/free/en/papers/wu-2021-lime-learning-inductive-bias-primitives/)
2. **[Graph Representations for Higher-Order Logic and Theorem Proving](https://md.research.elamur.ai/free/en/papers/paliwal-2019-graph-representations-higher-order-logic/) [Proceedings of the AAAI Conference on Artificial Intelligence](https://md.research.elamur.ai/free/en/venues/proceedings-of-the-aaai-conference-on-artificial-intelligence/)**Aditya Paliwal, Sarah Loos, Markus Rabe, et al.*2019 · 33 citations*
3. [**Teaching Temporal Logics to Neural Networks arXiv:2003.04218**Christopher Hahn, Frederik Schmitt, Jens U. Kreber, et al.*2020 · 24 citations*](https://md.research.elamur.ai/free/en/papers/hahn-2020-teaching-temporal-logics-neural-networks/)
4. [**Learning Heuristics for Quantified Boolean Formulas through Deep Reinforcement Learning arXiv:1807.08058**Gil Lederman, Markus N. Rabe, Edward A. Lee, et al.*2018 · 12 citations*](https://md.research.elamur.ai/free/en/papers/lederman-2018-learning-heuristics-quantified-boolean-formulas/)

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

- [← back to](https://md.research.elamur.ai/free/en/papers/selsam-2019-guiding-high-performance-sat-solvers/) — Guiding High-Performance SAT Solvers with Unsat-Core Predictions