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We study -- within the framework of propositional proof complexity -- the problem of certifying unsatisfiability of CNF formulas under the promise that any satisfiable formula has many satisfying assignments, where ``many'' stands for an…

Computational Complexity · Computer Science 2010-04-19 Nachum Dershowitz , Iddo Tzameret

Large language models (LLMs) have demonstrated significant potential in formal theorem proving, yet state-of-the-art performance often necessitates prohibitive test-time compute via massive roll-outs or extended context windows. In this…

Machine Learning · Computer Science 2026-04-22 Guchan Li , Rui Tian , Hongning Wang

We use the venerable "fooling set" method to prove new lower bounds on the quantum communication complexity of various functions. Let f:X x Y-->{0,1} be a Boolean function, fool^1(f) its maximal fooling set size among 1-inputs, Q_1^*(f) its…

Quantum Physics · Physics 2012-09-26 Hartmut Klauck , Ronald de Wolf

Determining the validity of a quantified Boolean formula (QBF) is a PSPACE-complete problem with rich expressive power. Despite interest in efficient solvers, there is, compared to problems in NP, a lack of positive theoretical results, and…

Computational Complexity · Computer Science 2026-05-13 Leif Eriksson , Victor Lagerkvist , Sebastian Ordyniak , George Osipov , Fahad Panolan , Mateusz Rychlicki

In this paper, we develop a quantified propositional proof systems that corresponds to logarithmic-space reasoning. We begin by defining a class SigmaCNF(2) of quantified formulas that can be evaluated in log space. Then our new proof…

Logic in Computer Science · Computer Science 2008-01-29 Steven Perron

Hardness magnification reduces major complexity separations (such as $\mathsf{\mathsf{EXP}} \nsubseteq \mathsf{NC}^1$) to proving lower bounds for some natural problem $Q$ against weak circuit models. Several recent works [OS18, MMW19,…

Computational Complexity · Computer Science 2019-11-20 Lijie Chen , Shuichi Hirahara , Igor C. Oliveira , Jan Pich , Ninad Rajgopal , Rahul Santhanam

The quantified Boolean formula (QBF) problem is an important decision problem generally viewed as the archetype for PSPACE-completeness. Many problems of central interest in AI are in general not included in NP, e.g., planning, model…

Computational Complexity · Computer Science 2024-05-13 Leif Eriksson , Victor Lagerkvist , George Osipov , Sebastian Ordyniak , Fahad Panolan , Mateusz Rychlicki

Two major considerations when encoding pseudo-Boolean (PB) constraints into SAT are the size of the encoding and its propagation strength, that is, the guarantee that it has a good behaviour under unit propagation. Several encodings with…

Artificial Intelligence · Computer Science 2021-01-07 Alexis de Colnet

For current state-of-the-art DPLL SAT-solvers the two main bottlenecks are the amounts of time and memory used. In proof complexity, these resources correspond to the length and space of resolution proofs. There has been a long line of…

Computational Complexity · Computer Science 2010-08-12 Eli Ben-Sasson , Jakob Nordström

Quantified Boolean Formula (QBF) is a notoriously hard generalization of \textsc{SAT}, especially from the point of view of parameterized complexity, where the problem remains intractable for most standard parameters. A recent work by…

Computational Complexity · Computer Science 2026-03-11 Andreas Grigorjew , Michael Lampis

Binary quantization approaches, which replace weight matrices with binary matrices and substitute costly multiplications with cheaper additions, offer a computationally efficient approach to address the increasing computational and storage…

Machine Learning · Computer Science 2026-03-03 Vladimír Boža , Vladimír Macko

The QRAT (quantified resolution asymmetric tautology) proof system simulates virtually all inference rules applied in state of the art quantified Boolean formula (QBF) reasoning tools. It consists of rules to rewrite a QBF by adding and…

Logic in Computer Science · Computer Science 2018-08-06 Florian Lonsing , Uwe Egly

We present and study a framework in which one can present alternation-based lower bounds on proof length in proof systems for quantified Boolean formulas. A key notion in this framework is that of proof system ensemble, which is…

Computational Complexity · Computer Science 2016-02-19 Hubie Chen

Resolution is the rule of inference at the basis of most procedures for automated reasoning. In these procedures, the input formula is first translated into an equisatisfiable formula in conjunctive normal form (CNF) and then represented as…

Artificial Intelligence · Computer Science 2011-11-04 E. Giunchiglia , M. Narizzano , A. Tacchella

Curved Boolean Logic (CBL) generalizes propositional logic by allowing local truth assignments that do not extend to a single global valuation, analogous to curvature in geometry. We give equivalent sheaf and exclusivity-graph semantics and…

Logic in Computer Science · Computer Science 2025-10-14 Maximilian R. P. von Liechtenstein

Over extended systems of finite type arithmetic, we utilize a formal representation of the outer measure to define a translation which allows for the systematic formalization of probabilistic statements. As a main result, this translation…

Logic · Mathematics 2026-04-10 Morenikeji Neri , Paulo Oliva , Nicholas Pischke

The QSAT problem, which asks to evaluate a quantified Boolean formula (QBF), is of fundamental interest in approximation, counting, decision, and probabilistic complexity and is also considered the prototypical PSPACEcomplete problem. As…

Logic in Computer Science · Computer Science 2023-04-28 Johannes K. Fichte , Robert Ganian , Markus Hecher , Friedrich Slivovsky , Sebastian Ordyniak

We give a sharp lower bound on the capacity of a real stable polynomial, depending only on the value of its gradient at $x = 1$. This result implies a sharp improvement to a similar inequality proved by Linial-Samorodnitsky-Wigderson in…

Combinatorics · Mathematics 2022-09-23 Leonid Gurvits , Jonathan Leake

The framework of algebraically natural proofs was independently introduced in the works of Forbes, Shpilka and Volk (2018), and Grochow, Kumar, Saks and Saraf (2017), to study the efficacy of commonly used techniques for proving lower…

Computational Complexity · Computer Science 2025-02-04 Prerona Chatterjee , Mrinal Kumar , C Ramya , Ramprasad Saptharishi , Anamay Tengse

For any unsatisfiable CNF formula we give an exponential lower bound on the size of resolution refutations of a propositional statement that the formula has a resolution refutation. We describe three applications. (1) An open question in…

Computational Complexity · Computer Science 2019-05-30 Michal Garlík