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From Literals to Atomic Constraints: Generalising Conflict-Driven Clause Learning for Constraint Programming

2026 · International Conference on Principles and Practice of Constraint Programming · pp. 42:1-42:21 · 0 citations · 43 references
Computer Science

TL;DR

This work presents the first systematic analysis of how leading LCG solvers maintain their SAT encodings, based on source-code inspection and developer correspondence, and proposes a native CDCL framework for CP, replacing SAT literals with atomic constraints, enabling conflict analysis, nogood learning, and nogood propagation directly at the CP level.

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