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A superquadratic separation between sensitivity and block sensitivity

OpenAI · September 25, 2026

Lean

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Abstract

We disprove the quadratic strengthening of the Sensitivity Conjecture by constructing nonconstant total Boolean functions whose block sensitivity grows faster than any constant multiple of sensitivity squared. In fact, for some fixed α > 2, our examples have unbounded block sensitivity and satisfy $\mathop{\mathrm{bs}}\nolimits (f)\ge s(f)^\alpha$.

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Cite

@misc{OAI:A-superquadratic-separation-between-sensitivity-and-block-sensitivity-September-25-2026,
  author = {{OpenAI}},
  title = {{A superquadratic separation between sensitivity and block sensitivity}},
  howpublished = {OpenAI Math Release preprint
                  \href{https://github.com/openai/math/blob/main/preprints/A-superquadratic-separation-between-sensitivity-and-block-sensitivity-September-25-2026/paper.pdf}{OAI:A-superquadratic-separation-between-sensitivity-and-block-sensitivity-September-25-2026}},
  year = {2026}
}

Lean formalization

OpenAI provides Lean files for this family: lean/docs/132.md. The Lean statements have not been checked by people against the paper's claims.

Family 132: A superquadratic separation of sensitivity and block sensitivity

Constructs total Boolean functions with block sensitivity $\mathop{\mathrm{bs}}\nolimits (f)\ge s(f)^\alpha$ for a fixed α > 2, disproving the quadratic strengthening of the Sensitivity Conjecture. Here $s(f)$ counts influential individual-bit flips, while block sensitivity allows disjoint groups of bits to change together.

This is the only paper in this family.