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        <identifier>oai:drops-oai.dagstuhl.de:25752</identifier>
        <datestamp>2026-09-05T19:26:05Z</datestamp>
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          <dc:title>When Locality Implies Globality: Card-Based ZKP Protocol for Shakashaka Puzzle</dc:title>
          <dc:creator>Miyahara, Daiki</dc:creator>
          <dc:creator>Robert, Léo</dc:creator>
          <dc:creator>Lafourcade, Pascal</dc:creator>
          <dc:creator>Kaneko, Shohei</dc:creator>
          <dc:subject>Card-based cryptography</dc:subject>
          <dc:subject>ShakaShaka</dc:subject>
          <dc:subject>Nikoli</dc:subject>
          <dc:subject>ZKP</dc:subject>
          <dc:description>Shakashaka is an NP-complete Nikoli puzzle that requires to draw white rectangles by filling a grid with black triangles. Verifying that there are only rectangles drawn in the solution was an open problem for card-based ZKP protocols designers.&#13;
In this paper, we construct a card-based ZKP protocol to show that a prover can prove to a verifier that he knows a solution of this puzzle without revealing any information. For doing this we prove a local property on all possible 2 × 2 subgrids drawn according to the rules of the game and such configurations are possible valid shapes for rectangles. This local property implies a global property on the shape of the constructed areas. Thanks to this local result for all 2 × 2 subgrids, we are able to establish that the only possible shape in the global grid are rectangles. We also verify other classical rules of Shakashaka.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Daiki Miyahara and Léo Robert and Pascal Lafourcade and Shohei Kaneko</dc:contributor>
          <dc:date>2026</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 366, 13th International Conference on Fun with Algorithms (FUN 2026)</dc:relation>
          <dc:type>InProceedings</dc:type>
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          <dc:identifier>doi:10.4230/LIPIcs.FUN.2026.33</dc:identifier>
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          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.FUN.2026.33</dc:identifier>
          <dc:language>eng</dc:language>
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