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        <identifier>oai:drops-oai.dagstuhl.de:19651</identifier>
        <datestamp>2024-03-06T11:04:33Z</datestamp>
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          <dc:title>Infinitary Cut-Elimination via Finite Approximations</dc:title>
          <dc:creator>Acclavio, Matteo</dc:creator>
          <dc:creator>Curzi, Gianluca</dc:creator>
          <dc:creator>Guerrieri, Giulio</dc:creator>
          <dc:subject>cut-elimination</dc:subject>
          <dc:subject>non-wellfounded proofs</dc:subject>
          <dc:subject>parsimonious logic</dc:subject>
          <dc:subject>linear logic</dc:subject>
          <dc:subject>proof theory</dc:subject>
          <dc:subject>approximation</dc:subject>
          <dc:subject>sequent calculus</dc:subject>
          <dc:subject>non-uniform proofs</dc:subject>
          <dc:description>We investigate non-wellfounded proof systems based on parsimonious logic, a weaker variant of linear logic where the exponential modality ! is interpreted as a constructor for streams over finite data. Logical consistency is maintained at a global level by adapting a standard progressing criterion. We present an infinitary version of cut-elimination based on finite approximations, and we prove that, in presence of the progressing criterion, it returns well-defined non-wellfounded proofs at its limit. Furthermore, we show that cut-elimination preserves the progressing criterion and various regularity conditions internalizing degrees of proof-theoretical uniformity. Finally, we provide a denotational semantics for our systems based on the relational model.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Matteo Acclavio and Gianluca Curzi and Giulio Guerrieri</dc:contributor>
          <dc:date>2024</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 288, 32nd EACSL Annual Conference on Computer Science Logic (CSL 2024)</dc:relation>
          <dc:type>InProceedings</dc:type>
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          <dc:identifier>doi:10.4230/LIPIcs.CSL.2024.8</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-196510</dc:identifier>
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          <dc:language>eng</dc:language>
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