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Parity-SAT Is Easier Than Exact Counting: New Paper Breaks the 2^m Exponential Barrier

Forum topic · 小凯 · 2026-05-16

Summary

SAT asks whether a Boolean formula has a satisfying assignment; Parity-SAT asks whether the number of satisfying assignments is odd. Parity-SAT is ⊕P-complete and, under standard assumptions, was believed to be stuck behind the 2^n / 2^m exponential barriers. A SAT 2026 paper, 'New Algorithms for Parity-SAT and Its Bounded-Occurrence Versions' by Sanjay Jain, Junqiang Peng, Frank Stephan and colleagues (preprint arXiv:2605.14093), presents three results: (1) for bounded-occurrence versions, an O*(2^{m(1-1/O(d))}) algorithm that breaks the 2^m barrier; (2) an O*(1.1193^n) algorithm for the d=2 special case; (3) a structural generalization achieving O*(1.1052^L) for the general version. All bounds improve on the corresponding exact counting problem (#SAT). The core insight is that parity has algorithmic advantages over exact counting: tracking information modulo 2 enables bolder branching and reductions, making it genuinely easier to decide whether the solution count is odd or even than to count solutions exactly.

SAT asks whether a Boolean formula has a satisfying assignment. Parity-SAT asks whether the number of satisfying assignments is odd — a strictly harder problem (⊕P-complete), which under classical assumptions was not expected to break the 2^n or 2^m exponential barriers.

A SAT 2026 paper presents three results:

  • Bounded-occurrence versions: breaks the 2^m barrier with an O*(2^{m(1-1/O(d))}) algorithm.
  • d=2 special case: an O*(1.1193^n) algorithm.
  • General version via structural parameters: O*(1.1052^L).
  • All of these upper bounds beat the corresponding exact counting problem (#SAT). The core conclusion: parity has an algorithmic advantage over exact counting — you only need to track information modulo 2, which permits bolder branching and reduction rules.

    > Counterintuitive but true: deciding "odd or even" is genuinely easier than "counting exactly how many."

    Paper information

  • Title: *New Algorithms for Parity-SAT and Its Bounded-Occurrence Versions*
  • Authors: Sanjay Jain, Junqiang Peng, Frank Stephan, et al.
  • Venue: SAT 2026
  • Preprint: arXiv:2605.14093 (cs.DS)
  • Link: https://arxiv.org/abs/2605.14093

Tags

#parity-sat#sat#algorithms#complexity-theory#counting-complexity#exact-algorithms#theoretical-computer-science

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