mlsanityData to 14 Oct 2026

Towards a Certifying Grounder

arXiv 2607.21199 ↗First posted 23 Jul 2026cs.LO cs.AIcited by 0

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Abstract (arXiv)

Grounding, the translation of high-level theories into equivalent quantifier-free formulas, is a crucial step in declarative solving, yet it has so far escaped the proof-logging revolution. When this grounding step is not certifying, there is no way of knowing that the obtained solutions actually correspond to the original problem specification, resulting in a trust gap. In this paper, we close the trust gap between the user's high-level specification and the solver's low-level input by introducing a novel certifying grounding framework for first-order logic model expansion (FOX) over finite domains. We present CertiFOX, a framework consisting of: (1) a proof format for grounding derivations, (2) GroundFOX, a certifying grounder operating on theories in Grounding Normal Form (GNF)--a new normal form designed for compact, domain-aware grounding--and (3) CheckFOX, an independent proof checker. Our approach guarantees that the grounder's output is equivalent to the input specification, setting the stage for trustworthy end-to-end certified solving pipelines for declarative languages. Experimental evaluation confirms that CertiFOX is a feasible approach. The GroundFOX grounder is broadly comparable with other grounders, and proof checking with CheckFOX adds overhead within a small constant factor of grounding time.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 7 of its 40 references that are in the map. First posted on arXiv 23 Jul 2026.

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7 of 40 references.

References · 7

  1. 2022Certified Symmetry and Dominance Breaking for Combinatorial Optimisationcited by 13
  2. 2014Grounding FO and FO(ID) with Boundscited by 3
  3. 2024Certified MaxSAT Preprocessingcited by 3
  4. 2019Inconsistency Proofs for ASP: The ASP-DRUPE Formatcited by 2
  5. 2025Certifying Pareto-Optimality in Multi-Objective Maximum Satisfiabilitycited by 2
  6. 2025Efficient and Reliable Hitting-Set Computations for the Implicit Hitting Set Approachcited by 1
  7. 2025Using Certifying Constraint Solvers for Generating Step-wise Explanationscited by 1

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