Proof Simulation via Round-based Strategy Extraction for QBF
Leroy Chew
Abstract
Proof systems can be used for certification of logic problems, and proof complexity can inform us how succinct certificates can be. In the PSPACE complete logic QBF (Quantified Boolean Formulas) refutation proofs often contain information that reproduce the witnesses of the quantified variables. This is known as strategy extraction. There are two known kinds of strategy extraction for proof systems, local strategy extraction and round-based strategy extraction. Formalisation of local strategy extraction was done previously (Chew and Slivovsky 2022), in this paper we formalise round-based strategy extraction. By formalising the strategy extraction into circuits we can show new p-simulations. P-simulations are processes that allow you to transform proofs from a weaker proof system to a stronger proof system. Thus we solve an open problem in QBF proof complexity that Extended QBF Frege p-simulates LD-Q(D rrs )-Resolution. LD-Q(D rrs )-Resolution is the underlying proof system for the solver Qute (Peitl, Slivovsky, and Szeider 2019a). This is a positive result for certification. By clarifying the hierarchy of proof systems further suggests the feasibility of using known formats such as Extended QU-Resolution or QRAT to certify QCDCL solvers. The p-simulation is our main result, but we also make other observations from the specifics of the formalisation.
Ask about this paper
Your agent reads all of it.
Lune indexed this paper to the last equation, along with the top-tier papers that cite it. Ask a question and the answer quotes them.
Your agent calls
Luneget_paper_fulltext
Free to start. No credit card required.
Terminal
Install the CLIlune papers fulltext e9c70cf1-210e-457a-a56b-7526190372a6Related papers
- Runtime vs. Extracted Proof Size: An Exponential Gap for CDCL on QBFsOlaf Beyersdorff, Benjamin Böhm, Meena MahajanAAAI 2024 · 1 citation
- Hardness Characterisations and Size-Width Lower Bounds for QBF ResolutionOlaf Beyersdorff, Joshua Blinkhorn, Meena MahajanLICS 2020 · 9 citations
- Towards Practical Zero-Knowledge Proof for PSPACEAshwin Karthikeyan, Hengyu Liu, Kuldeep S. Meel, Ning LuoS&P 2026 · 4 citations
- The Proof Analysis ProblemNoel Arteche, Albert Atserias, Susanna F. de Rezende, Erfan KhanikiFOCS 2025 · 4 citations
- Interpolation-Based Semantic Gate Extraction and Its Applications to QBF PreprocessingFriedrich SlivovskyCAV 2020 · 10 citations
