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        <identifier>oai:drops-oai.dagstuhl.de:22651</identifier>
        <datestamp>2026-04-17T05:31:51Z</datestamp>
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          <dc:title>Accumulation Without Homomorphism</dc:title>
          <dc:creator>Bünz, Benedikt</dc:creator>
          <dc:creator>Mishra, Pratyush</dc:creator>
          <dc:creator>Nguyen, Wilson</dc:creator>
          <dc:creator>Wang, William</dc:creator>
          <dc:subject>Proof-carrying data</dc:subject>
          <dc:subject>incrementally verifiable computation</dc:subject>
          <dc:subject>accumulation schemes</dc:subject>
          <dc:description>Accumulation schemes are a simple yet powerful primitive that enable highly efficient constructions of incrementally verifiable computation (IVC). Unfortunately, all prior accumulation schemes rely on homomorphic vector commitments whose security is based on public-key assumptions. It is an interesting open question to construct efficient accumulation schemes that avoid the need for such assumptions.&#13;
In this paper, we answer this question affirmatively by constructing an accumulation scheme from non-homomorphic vector commitments which can be realized from solely symmetric-key assumptions (e.g., Merkle trees). We overcome the need for homomorphisms by instead performing spot-checks over error-correcting encodings of the committed vectors.&#13;
Unlike prior accumulation schemes, our scheme only supports a bounded number of accumulation steps. We show that such bounded-depth accumulation still suffices to construct proof-carrying data (a generalization of IVC). We also demonstrate several optimizations to our PCD construction which greatly improve concrete efficiency.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Benedikt Bünz and Pratyush Mishra and Wilson Nguyen and William Wang</dc:contributor>
          <dc:date>2025</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 325, 16th Innovations in Theoretical Computer Science Conference (ITCS 2025)</dc:relation>
          <dc:type>InProceedings</dc:type>
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          <dc:identifier>doi:10.4230/LIPIcs.ITCS.2025.23</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-226510</dc:identifier>
          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.ITCS.2025.23</dc:identifier>
          <dc:language>eng</dc:language>
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