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Proof Simulation via Round-based Strategy Extraction for QBF

AAAI 2025 · Learning theory and algorithms › Combinatorial and search optimization · approach: SAT and model counting solvers · 0 citations (OpenAlex)

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The paper formalises round-based strategy extraction for QBF refutations as extension-variable circuitry and uses it to show that eFrege+∀red p-simulates LD-Q(Drrs)-Resolution.

Problem

QBF proof complexity lacks a proof-system simulation showing that QCDCL-related systems (LD-Q(Drrs)-Resolution, the proof system behind Qute) can be efficiently simulated by Extended Frege plus universal reduction, which would enable certification of QCDCL solvers.

Approach

Formalises round-based strategy extraction (restrict the proof by outer-block assignments and prune) as polynomial-size extension variables and connectivity relations, then uses the soundness of the extracted strategy inside eFrege+∀red to derive a QBF refutation, giving a p-simulation (quartic in proof size).

Key results

Limitations

Experimental setup

Baselines: local strategy extraction (Chew and Slivovsky 2022)

Builds on: Extended Frege + ∀red LD-Q(Drrs)-Resolution local strategy extraction (Chew and Slivovsky 2022) QRAT Q-Res

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