1. Beyersdorff, O., Hinde, L., Pich, J.: Reasons for hardness in QBF proof systems. ACM Trans. Comput. Theory 12(2), 10:1–10:27 (2020). https://doi.org/10.1145/3378665
2. Beyersdorff, O., Janota, M., Lonsing, F., Seidl, M.: Quantified Boolean formulas. In: Handbook of Satisfiability – Second Edition, Frontiers in Artificial Intelligence and Applications, vol. 336, pp. 1177–1221. IOS Press (2021). https://doi.org/10.3233/FAIA201015
3. Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence);A Biere,2011
4. Charwat, G., Woltran, S.: BDD-based dynamic programming on tree decompositions. Technical report, Technische Universität Wien, Institut für Informationssysteme, Technical report (2016)
5. Charwat, G., Woltran, S.: Dynamic programming-based QBF solving. In: Proceedings of the 4th International Workshop on Quantified Boolean Formulas (QBF 2016) co-located with 19th International Conference on Theory and Applications of Satisfiability Testing (SAT 2016), Bordeaux, France, July 4, 2016. CEUR Workshop Proceedings, vol. 1719, pp. 27–40. CEUR-WS.org (2016)