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        <datestamp>2026-10-01T13:12:35Z</datestamp>
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          <dc:title>An Optimal-Rank Inverse Theorem for Sets with Polynomially Many Subset Sums</dc:title>
          <dc:creator>Akihiro Koide (24791941)</dc:creator>
          <dc:subject>Combinatorics and discrete mathematics (excl. physical combinatorics)</dc:subject>
          <dc:subject>subset sums</dc:subject>
          <dc:subject>inverse theorem</dc:subject>
          <dc:subject>generalized arithmetic progression</dc:subject>
          <dc:subject>Littlewood–Offord theory</dc:subject>
          <dc:subject>rank reduction</dc:subject>
          <dc:description>&lt;p dir="ltr"&gt;This paper proves an inverse theorem for finite sets of positive real numbers with polynomially many distinct subset sums. Almost all elements lie in a proper symmetric generalized arithmetic progression of polynomial size, with an optimal rank bound determined by the subset-sum growth exponent. The exceptional proportion tends to zero uniformly over the stated class of sets. The proof combines inverse Littlewood–Offord containment, a subspace theorem, and integer coordinate elimination. The progression-size exponent and the decay of the exceptional proportion are not optimized.&lt;/p&gt;&lt;p&gt;&lt;br&gt;&lt;/p&gt;&lt;p dir="ltr"&gt;The deposit includes the manuscript PDF, LaTeX source, and two exact-arithmetic Python verification scripts with reference data. These check finite coordinate identities, projection collisions, box inclusions, and grid-counting examples; the general theorem is proved in the manuscript.&lt;/p&gt;</dc:description>
          <dc:date>2026-10-01T13:12:35Z</dc:date>
          <dc:type>Text</dc:type>
          <dc:type>Preprint</dc:type>
          <dc:identifier>10.6084/m9.figshare.34045947.v1</dc:identifier>
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