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        <identifier>oai:drops-oai.dagstuhl.de:19063</identifier>
        <datestamp>2024-03-06T11:03:24Z</datestamp>
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          <dc:title>Proof Logging for Smart Extensional Constraints</dc:title>
          <dc:creator>McIlree, Matthew J.</dc:creator>
          <dc:creator>McCreesh, Ciaran</dc:creator>
          <dc:subject>Constraint programming</dc:subject>
          <dc:subject>proof logging</dc:subject>
          <dc:subject>extensional constraints</dc:subject>
          <dc:description>Proof logging provides an auditable way of guaranteeing that a solver has produced a correct answer using sound reasoning. This is standard practice for Boolean satisfiability solving, but for constraint programming, a challenge is that every propagator must be able to justify all inferences it performs. Here we demonstrate how to support proof logging for a wide range of previously uncertified global constraints. We do this by showing how to justify every inference that could be performed by the propagation algorithms for two families of generalised extensional constraint: "Smart Table" and "Regular Language Membership".</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Matthew J. McIlree and Ciaran McCreesh</dc:contributor>
          <dc:date>2023</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 280, 29th International Conference on Principles and Practice of Constraint Programming (CP 2023)</dc:relation>
          <dc:type>InProceedings</dc:type>
          <dc:type>Text</dc:type>
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          <dc:identifier>doi:10.4230/LIPIcs.CP.2023.26</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-190633</dc:identifier>
          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.CP.2023.26</dc:identifier>
          <dc:language>eng</dc:language>
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