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A Proof of the CSP Dichotomy Conjecture

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arxiv 1704.01914 v11 pith:4KH7NEJA submitted 2017-04-06 cs.CC

classification cs.CC
keywords constraintproblemsatisfactionnp-completeproblemsconjecturelanguagesnear
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Many natural combinatorial problems can be expressed as constraint satisfaction problems. This class of problems is known to be NP-complete in general, but certain restrictions on the form of the constraints can ensure tractability. The standard way to parameterize interesting subclasses of the constraint satisfaction problem is via finite constraint languages. The main problem is to classify those subclasses that are solvable in polynomial time and those that are NP-complete. It was conjectured that if a constraint language has a weak near unanimity polymorphism then the corresponding constraint satisfaction problem is tractable, otherwise it is NP-complete. In the paper we present an algorithm that solves Constraint Satisfaction Problem in polynomial time for constraint languages having a weak near unanimity polymorphism, which proves the remaining part of the conjecture.

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Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. The Network Satisfaction Problem for Relation Algebras with at most 4 Atoms

    math.RA 2025-07 conditional novelty 7.0 of 10

    Every finite relation algebra with at most four atoms has a network satisfaction problem that is either in P or NP-hard, with the paper determining which.

  2. Primitive Positive Constructions Among Finite Permutation Groups

    math.GR 2026-06 unverdicted novelty 6.0 of 10

    Full classification of primitive positive constructions for finite permutation groups, serving as a checkable necessary condition for general first-order structures.

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