mlsanityData to 13 Oct 2026

Proof Complexity of Symbolic QBF Reasoning

arXiv 2104.02563 ↗First posted 6 Apr 2021cs.CC cs.AI cs.LOcited by 2

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Abstract (arXiv)

We introduce and investigate symbolic proof systems for Quantified Boolean Formulas (QBF) operating on Ordered Binary Decision Diagrams (OBDDs). These systems capture QBF solvers that perform symbolic quantifier elimination, and as such admit short proofs of formulas of bounded path-width and quantifier complexity. As a consequence, we obtain exponential separations from standard clausal proof systems, specifically (long-distance) QU-Resolution and IR-Calc. We further develop a lower bound technique for symbolic QBF proof systems based on strategy extraction that lifts known lower bounds from communication complexity. This allows us to derive strong lower bounds against symbolic QBF proof systems that are independent of the variable ordering of the underlying OBDDs, and that hold even if the proof system is allowed access to an NP-oracle.

Key facts. Cited by 2 papers in the map (data through 13 Oct 2026). Builds on 4 of its 43 references that are in the map. First posted on arXiv 6 Apr 2021.

Builds on

4 of 43 references.

References · 4

  1. 2019ADDMC: Weighted Model Counting with Algebraic Decision Diagramscited by 13
  2. 2017Evaluating QBF Solvers: Quantifier Alternations Mattercited by 2
  3. 2017Size, Cost, and Capacity: A Semantic Technique for Hard Random QBFscited by 1
  4. 2018Expansion-Based QBF Solving Without Recursioncited by 1

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