arXiv AI

Modal CEGAR-tableaux with RECAR and resolution-based SAT-shortcuts

arXiv:2606. 31878v1 Announce Type: cross Abstract: We investigate two approaches for extending CEGAR-tableaux with SAT-shortcuts using a previously known approach called RECAR but also a totally new approach using the modal resolution theorem prover KSP as an oracle.

arXiv AI
5d ago

A Hybrid SMT-NRA Solver: Integrating 2D Cell-Jump-Based Local Search, MCSAT and OpenCAD

The paper introduces a hybrid framework for solving Satisfiability Modulo the Theory of Nonlinear Real Arithmetic (SMT‑NRA). It presents a new two‑dimensional cell‑jump move, called 2D‑cell‑jump, that generalizes the existing cell‑jump operation by allowing search over any chosen plane. Building on this, the authors develop an extended local search framework, 2D‑LS, and combine it with MCSAT and OpenCAD to form a hybrid solver that improves search efficiency through information exchange, as shown by experimental results.

By Tianyi Ding, Haokun Li, Xinpeng Ni, Bican Xia, Tianqi Zhao
arXiv AI
Jun 8

A Study of Parallel Continuous Local Search

arXiv:2606. 06656v1 Announce Type: new Abstract: We study parallel Continuous Local Search (CLS) as a solution approach for Boolean satisfiability problems with symmetric pseudo-Boolean (PB) constraints.

By Cody J Christopher, Charles Gretton
arXiv AI
3d ago

Whiel: A Neurosymbolic Platform for Certified Relational Program Verification

Whiel is a Lean‑certified neurosymbolic platform for reasoning about imperative relational programs. It encodes containment and equivalence for Datalog, its negated extensions, and core graph query fragments, and can represent optimized evaluation algorithms and first‑order specifications of integrity constraints, schema mappings, and views. The system uses Hoare‑style reasoning with prophecy variables and leveled invariants, and supports neurosymbolic discovery of loop invariants verified by the Vampire theorem prover, with counterexamples fed back into the pipeline and solutions translated into Lean proof certificates.

By Jesse Comer, Fangzhu Shen, Shuo Zhang, Mayur Naik, Sudeepa Roy, Val Tannen