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        <identifier>oai:drops-oai.dagstuhl.de:27748</identifier>
        <datestamp>2026-09-09T12:19:36Z</datestamp>
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          <dc:title>Unbounded-Width CSPs Are Untestable in a Sublinear Number of Queries</dc:title>
          <dc:creator>Fei, Yumou</dc:creator>
          <dc:subject>constraint satisfaction problems</dc:subject>
          <dc:subject>property testing</dc:subject>
          <dc:description>The bounded-degree query model, introduced by Goldreich and Ron (Algorithmica, 2002), is a standard framework in graph property testing and sublinear-time algorithms. Many properties studied in this model, such as bipartiteness and 3-colorability of graphs, can be expressed as satisfiability of constraint satisfaction problems (CSPs). We prove that for the entire class of unbounded-width CSPs, testing satisfiability requires Ω(n) queries in the bounded-degree model. This result unifies and generalizes several previous lower bounds. In particular, it applies to all CSPs that are known to be NP-hard to solve, including k-colorability of 𝓁-uniform hypergraphs for any k,𝓁 ⩾ 2 with (k,𝓁) ≠ (2,2). &#13;
Our proof combines the techniques from Bogdanov, Obata, and Trevisan (FOCS, 2002), who established the first Ω(n) query lower bound for CSP testing in the bounded-degree model, with known results from universal algebra.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Yumou Fei</dc:contributor>
          <dc:date>2026</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 392, Approximation, Randomization, and Combinatorial Optimization. Algorithms and Techniques (APPROX/RANDOM 2026)</dc:relation>
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          <dc:identifier>doi:10.4230/LIPIcs.APPROX/RANDOM.2026.31</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-277489</dc:identifier>
          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.APPROX/RANDOM.2026.31</dc:identifier>
          <dc:language>eng</dc:language>
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