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A superquadratic separation between sensitivity and block sensitivity
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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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Notes
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work in progress
Collected automatically by AI tools (Claude Opus 5.5 and GPT-6 Astra, 2026-10-23) and not checked by a person. May be wrong or incomplete. Report an error.
Follow-up works
- Robin Kothari (GitHub user robinkothari), New problem suggestion: block sensitivity vs. sensitivity (bigospeedrun/site issue #2, 2026-10-15). Proposes tracking the best exponent α in bs(f) ≥ s(f)^(α−o(1)), taking this paper as the baseline; it says the paper's general bounds with d = 20, M = 9^21 give an exponent of about 2.00647 (the Lean witness d = 9, M = 9^10 gives about 2.000252).
- Robin Kothari and Codex, Separation exponent 83/40 (theorem on Prove2Me) (Prove2Me, 2026-10-19). A Lean-checked statement that bs(f) ≥ s(f)^(2.075−ε) with unbounded sensitivity, using "a seven-level construction with nine nested predicates"; it cites this paper's Lean scope document as a foundation. [AI-generated per source]
- Prove2Me, Block Sensitivity vs. Sensitivity: Reach 2.10 (Lean research mission, accepted submission dated 2026-10-20). A follow-up mission to OpenAI result 132 targeting $\mathrm{bs}(f)\ge s(f)^{2.10-\varepsilon}$ with arbitrarily large sensitivity; its activity panel records an accepted submission and marks the goal proved, while the proposal text still describes an open target.
- yousofy with Codex, Separation exponent at least 2.1308255793978239… (Prove2Me, 2026-10-20). Highest Lean-checked exponent in the Prove2Me campaign at collection time; the page calls it a "New construction" and retains the earlier OpenAI and Kothari/Codex attribution, without describing its relation to this paper's construction. [AI-generated per source]
- Qiuyu Chen (canghaimeng), developed with the Euler system, bound-132: larger sensitivity–block sensitivity separation (GitHub, October 2026). Claims α > 380/187 ≈ 2.0321 by keeping this paper's nested-predicate architecture with a level-dependent schedule and 99 OR copies, certified by exact integer inequalities; no Lean proof. [AI-generated per source]
- Codex Block Certificate Audit (agent of @1337isnot1337), audit of Qiuyu Chen's block-sensitivity certificate (Big-O Speedrun discussion board, 2026-10-19). Reports an arithmetic re-check of the 380/187 certificate built on this paper's recurrences and states: "This is not a Lean proof or independently verified separation." [AI-generated per source]
Comments and discussion
- Philip Weiss, answer to How many of the results released by OpenAI went against the conventional mathematical wisdom? (MathOverflow community-wiki discussion, 2026-10-08). Identifies the superquadratic separation as a counterexample to the proposed quadratic bound and distinguishes it from Huang's quartic upper bound.
- Robin Kothari (@RobinKothari), post on X (2026-10-15). Invites Lean-verified improvements on the paper's exponent of about 2.006, stating "The optimal exponent is between 2 and 4. My guess is 2.5 is achievable."
- Robin Kothari (@RobinKothari), post on X (2026-10-16). Reports that within less than a day the separation exponent moved from 2.006 to 2.05 and asks how much higher it can go.
Formalization
- OpenAI math release, Lean scope notes for family 132 (lean/docs/132.md). States that the formalization covers the quantitative ratio $\mathrm{bs}(f)/s(f)^2\ge 2^d/(4(d+2)^2)$ and a fixed exponent $\alpha>2$ along a sequence with unbounded block sensitivity at zero; the comparator statement is SensitivitySeparation.lean.
- OpenAI, OAI/Combinatorics/Sensitivity/Separation.lean (openai/math, commit adc7f12). States
quantitative_separation,unbounded_quadratic_separationandfixed_power_separationin namespaceOAI.Paper320. - Google DeepMind formal-conjectures, StrongSensitivityConjecture.lean (GitHub, accessed 2026-10-21). Defines sensitivity and block sensitivity and states the negation of bs(f) ≤ s(f)², tagged
research solvedand citing this paper [OAI26] and its Lean proof, while the theorem body in the file issorry. - Prove2Me, Block Sensitivity vs. Sensitivity (campaign) (Prove2Me, October 2026). Lean 4 campaign whose "OpenAI Baseline" mission formalizes this paper's exponent (≥ 2.000252407, 2026-10-15) and then records Lean-checked improvements, reaching ≥ 2.1308 by 2026-10-20.
Related prior literature mentioned by others
- Pooya Hatami, Raghav Kulkarni, Denis Pankratov, Variations on the Sensitivity Conjecture (arXiv:1011.0354, 2010). Cited in the formal-conjectures file (Question 3.1) as a source of the quadratic bs ≤ s² question that this paper answers in the negative.
- Siddhesh Chaubal and Anna Gal, New Constructions with Quadratic Separation between Sensitivity and Block Sensitivity (ECCC TR18-205, 2018-12-03). Pointed to in Weiss's MathOverflow answer for the history of the quadratic-bound question; gives quadratic separations via more general compositions and algebraic constructions.
Possibly relevant literature (found by the agent, not checked)
- Shalev Ben-David, Pooya Hatami, Avishay Tal, Low-Sensitivity Functions from Unambiguous Certificates (arXiv:1605.07084, 2016/2017). Shows that unambiguous-certificate techniques cannot give a super-quadratic bs vs s separation, relevant to how this paper's construction gets past the quadratic barrier.
- Avishay Tal, On the Sensitivity Conjecture (ICALP 2016, LIPIcs 55). Gives a super-quadratic separation between sensitivity and decision-tree complexity and studies ℓ-block sensitivity; background for the paper's superquadratic bs vs s claim and its composition-based amplification.
Digests and expositions
- Open Mathematics Courses / Claude Opus 5.5, Sensitivity and block sensitivity (undated course, accessed 2026-10-21). Three lessons develop composition and OR lemmas, nested predicates on labelled tournaments, and the sensitivity recurrences leading to the paper's superquadratic separation, with exercises and solutions. [AI-generated per source]
- Orply / Perplexity, Boolean Functions Break Every Quadratic Bound on Block Sensitivity (Orply, 2026-10-11). Explains the paper's nested predicates, gate-repair counting, block multiplication and composition amplification, explicitly leaving the label-existence calculation and full recurrence algebra undeveloped. [AI-generated per source]
Elsewhere
- VibeMathed: Problem record
- Emergent Mind: family 132
Independent sites; their content is not reviewed here.
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.