Arrow Research search

Author name cluster

Leroy Chew

Possible papers associated with this exact author name in Arrow. This page groups case-insensitive exact name matches and is not a full identity disambiguation profile.

12 papers
2 author rows

Possible papers

12

SAT Conference 2025 Conference Paper

Better Extension Variables in DQBF via Independence

  • Leroy Chew
  • Tomás Peitl

We show that extension variables in (D)QBF can be generalised by conditioning on universal assignments. The benefit of this is that the dependency sets of such conditioned extension variables can be made smaller to allow easier refutations. This simple modification instantly solves many challenges in p-simulating the QBF expansion rule, which cannot be p-simulated in proof systems that have strategy extraction [Leroy Chew and Judith Clymo, 2020]. Simulating expansion is even more crucial in DQBF, where other methods are incomplete. In this paper we provide an overview of the strength of this new independent extension rule. We find that a new version of Extended Frege called IndExtFrege + ∀red can p-simulate a multitude of difficult QBF and DQBF techniques, even techniques that are difficult to approach with eFrege + ∀red. We show five p-simulations, that IndExtFrege + ∀red p-simulates QRAT, DQBF-IR-calc, IR(𝒟^rrs)-calc, Fork-Resolution and DQRAT which together underpin most DQBF solving and preprocessing techniques. The p-simulations work despite these systems using complicated rules and our new extension rule being relatively simple. Moreover, unlike recent p-simulations by eFrege + ∀red we can simulate the proof rules line by line, which allows us to mix QBF rules more easily with other inference steps.

AAAI Conference 2025 Conference Paper

Proof Simulation via Round-based Strategy Extraction for QBF

  • Leroy Chew

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, 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(\Drrs)-Resolution. LD-Q(\Drrs)-Resolution is the underlying proof system for the solver Qute. 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.

KR Conference 2024 Conference Paper

ASP-QRAT: A Conditionally Optimal Dual Proof System for ASP

  • Leroy Chew
  • Alexis de Colnet
  • Stefan Szeider

Answer Set Programming (ASP) is a declarative programming approach that captures many problems in knowledge representation and reasoning. To certify an ASP solver's decision, whether the program is consistent or inconsistent, we need a certificate or proof that can be independently verified. This paper proposes the dual proof system ASP-QRAT that certifies both consistent and inconsistent ASPs. ASP-QRAT is based on a translation of ASP to QBF (Quantified Boolean Formus) and the QBF proof system QRAT as a checking format. We show that ASP-QRAT p-simulates ASP-DRUPE, an existing refutation system for inconsistent disjunctive ASPs. We show that ASP-QRAT is conditionally optimal for consistent and inconsistent ASPs, i. e. , any super-polynomial lower bound on the shortest proof size of ASP-QRAT implies a major breakthrough in theoretical computer science. The case for consistent ASPs is remarkable because no analog exists in the QBF case.

AAAI Conference 2024 Conference Paper

Hardness of Random Reordered Encodings of Parity for Resolution and CDCL

  • Leroy Chew
  • Alexis de Colnet
  • Friedrich Slivovsky
  • Stefan Szeider

Parity reasoning is challenging for Conflict-Driven Clause Learning (CDCL) SAT solvers. This has been observed even for simple formulas encoding two contradictory parity constraints with different variable orders (Chew and Heule 2020). We provide an analytical explanation for their hardness by showing that they require exponential resolution refutations with high probability when the variable order is chosen at random. We obtain this result by proving that these formulas, which are known to be Tseitin formulas, have Tseitin graphs of linear treewidth with high probability. Since such Tseitin formulas require exponential resolution refutations, our result follows. We generalize this argument to a new class of formulas that capture a basic form of parity reasoning involving a sum of two random parity constraints with random orders. Even when the variable order for the sum is chosen favorably, these formulas remain hard for resolution. In contrast, we prove that they have short DRAT refutations. We show experimentally that the running time of CDCL SAT solvers on both classes of formulas grows exponentially with their treewidth.

SAT Conference 2022 Conference Paper

Relating Existing Powerful Proof Systems for QBF

  • Leroy Chew
  • Marijn J. H. Heule

We advance the theory of QBF proof systems by showing the first simulation of the universal checking format QRAT by a theory-friendly system. We show that the sequent system G fully p-simulates QRAT, including the Extended Universal Reduction (EUR) rule which was recently used to show QRAT does not have strategy extraction. Because EUR heavily uses resolution paths our technique also brings resolution path dependency and sequent systems closer together. While we do not recommend G for practical applications this work can potentially show what features are needed for a new QBF checking format stronger than QRAT.

SoCS Conference 2021 Conference Paper

Avoiding Monochromatic Rectangles Using Shift Patterns

  • Zhenjun Liu
  • Leroy Chew
  • Marijn J. H. Heule

We show that enforcing shift patterns significantly reduces the cost to construct grids without monochromatic rectangles. Additionally, we prove that all valid 3-colorings of a 10 by 10 grid are isomorphic.

SAT Conference 2021 Conference Paper

Hardness and Optimality in QBF Proof Systems Modulo NP

  • Leroy Chew

Abstract In this paper we show that extended Q-resolution is optimal among all QBF proof systems that allow strategy extraction modulo an NP oracle. In other words, for any QBF refutation system f where circuits witnessing the Herbrand functions can be extracted in polynomial time from f -refutations, f can be simulated by extended Q-resolution augmented with an NP oracle as described by Beyersdorff et al. We argue that using NP oracles and strategy extraction gives a natural framework to study QBF systems as they have relations to SAT calls and game instances, respectively, in QBF solving. A weaker version of QBF extension variables also put forward by Jussila et al. does not have this optimality result, and we show that under an NP oracle there is no improvement of weak extended Q-Resolution compared to ordinary Q-Resolution.

SAT Conference 2020 Conference Paper

Sorting Parity Encodings by Reusing Variables

  • Leroy Chew
  • Marijn J. H. Heule

Abstract Parity reasoning is challenging for CDCL solvers: Refuting a formula consisting of two contradictory, differently ordered parity constraints of modest size is hard. Two alternative methods can solve these reordered parity formulas efficiently: binary decision diagrams and Gaussian Elimination (which requires detection of the parity constraints). Yet, implementations of these techniques either lack support of proof logging or introduce many extension variables. The compact, commonly-used encoding of parity constraints uses Tseitin variables. We present a technique for short clausal proofs that exploits these Tseitin variables to reorder the constraints within the DRAT system. The size of our refutations of reordered parity formulas is \(\mathcal {O}(n\log n)\).

SAT Conference 2019 Conference Paper

Short Proofs in QBF Expansion

  • Olaf Beyersdorff
  • Leroy Chew
  • Judith Clymo
  • Meena Mahajan

Abstract For quantified Boolean formulas (QBF) there are two main different approaches to solving: conflict-driven clause learning (QCDCL) and expansion solving. In this paper we compare the underlying proof systems and show that expansion systems admit strictly shorter proofs than QCDCL systems for formulas of bounded quantifier complexity, thus pointing towards potential advantages of expansion solving techniques over QCDCL solving. Our first result shows that tree-like expansion systems allow short proofs of QBFs that are a source of hardness for QCDCL, i. e. tree-like \(\forall \textsf {Exp{+}Res}\) is strictly stronger than tree-like Q-Resolution. In our second result we efficiently transform dag-like Q-Resolution proofs of QBFs with bounded quantifier complexity into \(\forall \textsf {Exp{+}Res}\) proofs. This is theoretical confirmation of experimental findings by Lonsing and Egly, who observed that expansion QBF solvers often outperform QCDCL solvers on instances with few quantifier alternations.

SAT Conference 2019 Conference Paper

The Equivalences of Refutational QRAT

  • Leroy Chew
  • Judith Clymo

Abstract The solving of Quantified Boolean Formulas (QBF) has been advanced considerably in the last two decades. In response to this, several proof systems have been put forward to universally verify QBF solvers. QRAT by Heule et al. is one such example of this and builds on technology from DRAT, a checking format used in propositional logic. Recent advances have shown conditional optimality results for QBF systems that use extension variables. Since QRAT can simulate Extended Q-Resolution, we know it is strong, but we do not know if QRAT has the strategy extraction property as Extended Q-Resolution does. In this paper, we partially answer this question by showing that QRAT with a restricted reduction rule has strategy extraction (and consequentially is equivalent to Extended Q-Resolution modulo NP). We also extend equivalence to another system, as we show an augmented version of QRAT known as QRAT+, developed by Lonsing and Egly, is in fact equivalent to the basic QRAT. We achieve this by constructing a line-wise simulation of QRAT+ using only steps valid in QRAT.

I&C Journal 2018 Journal Article

Understanding cutting planes for QBFs

  • Olaf Beyersdorff
  • Leroy Chew
  • Meena Mahajan
  • Anil Shukla

We study the cutting planes system CP+∀red for quantified Boolean formulas (QBF), obtained by augmenting propositional Cutting Planes with a universal reduction rule, and analyse the proof-theoretic strength of this new calculus. While in the propositional case, Cutting Planes is of intermediate strength between resolution and Frege, our findings here show that the situation in QBF is slightly more complex: while CP+∀red is again weaker than QBF Frege and stronger than the CDCL-based QBF resolution systems Q-Res and QU-Res, it turns out to be incomparable to even the weakest expansion-based QBF resolution system ∀Exp+Res. A similar picture holds for a semantic version semCP+∀red. Technically, our results establish the effectiveness of two lower bound techniques for CP+∀red: via strategy extraction and via monotone feasible interpolation.

SAT Conference 2016 Conference Paper

Lifting QBF Resolution Calculi to DQBF

  • Olaf Beyersdorff
  • Leroy Chew
  • Renate A. Schmidt
  • Martin Suda 0001

Abstract We examine existing resolution systems for quantified Boolean formulas (QBF) and answer the question which of these calculi can be lifted to the more powerful Dependency QBFs (DQBF). An interesting picture emerges: While for QBF we have the strict chain of proof systems \(\textsf {Q-Res}< \textsf {IR-calc} < \textsf {IRM-calc} \), the situation is quite different in DQBF. The obvious adaptations of Q-Res and likewise universal resolution are too weak: they are not complete. The obvious adaptation of IR-calc has the right strength: it is sound and complete. IRM-calc is too strong: it is not sound any more, and the same applies to long-distance resolution. Conceptually, we use the relation of DQBF to effectively propositional logic ( EPR ) and explain our new DQBF calculus based on IR-calc as a subsystem of first-order resolution.

v2026.09.13