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Openai 2026 hypercube ramsey number has linear order

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theorem_1_1: The linear upper bound for the two-color Ramsey number of the hypercube, claimed by the OpenAI release through a contradiction along a counterexample sequence, discrepancy reductions and a patch tiling closed by Hall matchings; the claimed resolution of Problem 181.


OpenAI, The hypercube Ramsey number has linear order, OpenAI Math Release preprint, September 23, 2026. Released under the Apache License 2.0 at https://github.com/openai/math (revision adc7f1241), folder preprints/The-hypercube-Ramsey-number-has-linear-order-September-23-2026; the held PDF, paper.pdf in the release, is retained as openai_2026_hypercube_ramsey_number_has_linear_order.pdf, and the release's TeX bundle sits in the same release folder.

bibtex
@misc{OAI:The-hypercube-Ramsey-number-has-linear-order-September-23-2026,
  author = {{OpenAI}},
  title = {{The hypercube Ramsey number has linear order}},
  howpublished = {OpenAI Math Release preprint
                  \href{https://github.com/openai/math/blob/main/preprints/The-hypercube-Ramsey-number-has-linear-order-September-23-2026/paper.pdf}{OAI:The-hypercube-Ramsey-number-has-linear-order-September-23-2026}},
  year = {2026}
}

Attestation, as the source states it. The release's own README says the collection's manuscripts were "produced by an internal OpenAI model", that the collection "includes results at different stages of verification", that "Not all have accompanying Lean formalizations" and that "Some of the unformalized results could have issues"; it also says that most results used "the same procedure using an unreleased internal OpenAI model" with, on average, "three hours of ChatGPT Pro thinking compute" per result. The manuscript's own README in the release adds nothing beyond the title, the author line "OpenAI", the date and the citation block; the title page names no person. These sentences are recorded here as the source's historical attestations of its own provenance, not as this corpus's review. No refereed publication, no arXiv version and no independent review of the manuscript is recorded here and nothing on this card is independently reviewed.

Formalization: the release lists none for this manuscript. Its catalog lean/formalization.yaml carries no entry naming it and there is no Lean page for it. This is read statically from the release's catalog; nothing was built, replayed or audited here, and no Lean file is a proof of an Erdős problem here.

The release groups this manuscript alone, under the title "The hypercube Ramsey conjecture"; it has no companion manuscript in the release.

Read status: claims checked for Theorem 1.1, for Lemma 2.1 (the reduction to a counterexample sequence) and for the lower-bound paragraph of Section 1.1, together with the statements of the staging results Lemma 4.1, Corollary 7.2, Corollary 8.2, Definition 9.1, Proposition 9.2, Proposition 10.1, Corollary 10.2, Proposition 11.1, Corollary 11.4, Corollary 12.1, Definition 13.1, Proposition 13.3, Lemma 15.1, Proposition 15.4, Proposition 18.4, Proposition 18.5 and Lemma 18.6 and the concluding paragraph, read clause by clause in the TeX source (sections/01-introduction.tex, label thm:main and the paragraph at lines 44--53; sections/02-reduction-and-notation.tex, label lem:counterexample-sequence; the labeled statement environments named above in the files sections/04-bias-versus-purity-at-power-widths.tex, sections/07-a-small-power-key-grid.tex, sections/08-asymmetric-pure-patches-under-2.tex, sections/09-intermediate-powers-of-bias.tex, sections/10-full-dimensional-cluster-patches.tex, sections/11-jump-to-large-bias-only-at-linear-budget.tex, sections/12-the-two-deep-orientations-some-estimates.tex, sections/13-patch-tiling-under-9.tex, sections/15-high-modes-of-the-tiling.tex and sections/18-late-dynamics-and-its-transfer-problem.tex, the last with its paragraph "Conclusion of Theorem 1.1") on 2026-10-07; the proofs in Sections 3--18 (about 155 pages) were read for their structure only and no step was checked; nothing here is independently reviewed.

Contents

The manuscript is 172 pages (title, abstract and introduction pp. 1--7, table of contents pp. 8--9, body pp. 10--165, appendix pp. 166--169, references pp. 170--172). Throughout, QnQ_n is the graph on {0,1}n\{0,1\}^n with adjacency between words differing in one coordinate, and R(H)R(H) is the least MM such that every red-blue edge coloring of KMK_M contains a monochromatic, not necessarily induced, copy of HH.

  • Section 1, Introduction (pp. 1--7). States Theorem 1.1: there is an absolute C>0C>0 with R(Qn)≤C2nR(Q_n)\le C2^n for every integer n≥0n\ge0. Section 1.1 recalls the Burr--Erdős LL-set notion and says Burr and Erdős "raised the cube question separately in Section 7, asking whether the cubes form an LL-set" (p. 1); notes that the cube sits at the edge density e(Qn)/∣V(Qn)∣=n/2=12log⁡2∣V(Qn)∣e(Q_n)/|V(Q_n)|=n/2=\tfrac12\log_2|V(Q_n)| permitted by their first-moment necessary condition; records the two-block lower bound R(Qn)≥3⋅2n−1−1R(Q_n)\ge3\cdot2^{n-1}-1 (blocks of sizes 2n−12^n-1 and 2n−1−12^{n-1}-1, red inside, blue across; cited to the introduction of Conlon, Fox, Lee and Sudakov 2016 and verified in two sentences), so that, the manuscript concludes, the claimed theorem would determine the order of R(Qn)R(Q_n); and says the theorem "gives no numerical value for CC and does not determine whether R(Qn)/2nR(Q_n)/2^n converges" (p. 2). The historical survey lists Chvátal--Rödl--Szemerédi--Trotter 1983 and Lee 2017 (linear Ramsey numbers for fixed maximum degree or degeneracy, with constants that may grow with nn for the cube), Beck 1983, Graham--Rödl--Ruciński 2001 (R(Qn)<8(16n)nR(Q_n)<8(16n)^n), Shi 2001 and 2007 (polynomial bounds), Fox--Sudakov 2009 (R(Qn)≤n22n+5R(Q_n)\le n2^{2n+5}), Conlon--Fox--Sudakov 2016 (R(Qn)≤22n+6R(Q_n)\le2^{2n+6}), Lee 2017 (R(Qn)≤22n+n22nR(Q_n)\le2^{2n}+n^22^n for large nn) and Tikhomirov 2024 (R(Qn)≤22n−cn+1+2R(Q_n)\le2^{2n-cn+1}+2 for large nn). A paragraph on consequences derives R(H)≤CA∣V(H)∣R(H)\le CA|V(H)| for subgraphs HH of QdQ_d with 2d≤A∣V(H)∣2^d\le A|V(H)|, and R(F□k)≤C∣V(F)∣kR(F^{\square k})\le C|V(F)|^k for Cartesian powers of spanning subgraphs FF of QdQ_d, including powers of paths on 2d2^d vertices (d≥1d\ge1) and cycles on 2d2^d vertices (d≥2d\ge2), compared with Mota, Sárközy, Schacht and Taraz 2015. Section 1.2 surveys the common-neighborhood embedding method (Kostochka--Rödl, Sudakov, Gowers, Conlon, Fox--Sudakov, Conlon--Fox--Sudakov, Lee), Tikhomirov's one-color density theorem and the cube-versus-clique results of Conlon--Fox--Lee--Sudakov 2016 and Fiz Pontiveros, Griffiths, Morris, Saxton and Skokan 2014 and 2016, whose subcube tilings the proof reuses. Section 1.3 gives the four phases of the proof (below) and the dependency diagram (Figure 1); Section 1.4 is a terminology table (roles and labels, width log⁡(Nmax⁡μ)\log(N\max\mu), patches, gates, profiles).
  • Section 2, Reduction and notation (p. 10). Lemma 2.1: if R(Qn)/2nR(Q_n)/2^n is unbounded there are dimensions n→∞n\to\infty and red-blue colorings of the complete bipartite graph between disjoint sides X,YX,Y of size NN, with no monochromatic QnQ_n across the sides, Cn=N/2n→∞C_n=N/2^n\to\infty and N≤n2nN\le n2^n; the proof uses the finite Ramsey theorem and the restriction of a critical coloring to cross edges. Defines the even and odd cube roles A,BA,B, host labels, the width of a law μ\mu on a side, and the weighted density dG(μ,ν)d_G(\mu,\nu) of a color GG.
  • Section 3, General conventions and probabilistic tools (pp. 11--26). Definition 3.1 (availability of a witness family after removal of κN\kappa N labels per side) and Lemma 3.2 (stabilization: along a subsequence and after o(N)o(N) discards every property in a countable list is eventually absent or available); Lemma 3.3 (balanced mixtures with pointwise mean label mass ≤K/N\le K/N, through a Kakutani fixed point, and Hall's theorem for laws with column sums at most one); Lemma 3.5 (a conditional form of the lopsided local lemma, with the induction attributed to Erdős--Lovász 1975, Erdős--Spencer 1991 and Lu--Székely 2007); Lemma 3.6 (scattered moments); Lemma 3.7 (gated posterior comparison); Lemma 3.8 (a local height selection rule for centers in Hamming balls, related to Lipschitz percolation); Lemma 3.9 (calibrated near-product injections with exact marginals, compared with bipartite dependent rounding) and Lemma 3.10 (clock sampling: an injective assignment avoiding rare predicates with joint probabilities at most (1+o(1))(1+o(1)) times the product law). Concentration inputs are Azuma and Hoeffding; Freedman's inequality (1975) is cited for comparison with a bounded-jump exponential estimate proved in Section 3.
  • Sections 4--7, initial discrepancy (pp. 26--69). Lemma 4.1 (bias versus purity): at power widths nβ,nγn^\beta,n^\gamma, an available bias of at least n−hn^{-h} and the absence of nearly monochromatic pairs at doubled widths cannot both hold, since together they embed a cube. Lemma 5.1 (a broad side of constant width) and Lemma 6.1 (a broad side with a polynomial density cap) embed a cube from concentrated high-degree configurations; Lemma 7.1 excludes pure patches with two small power widths through a grid of anchors. Corollary 7.2 (initial discrepancy, display (7.2)): after a subsequence and o(N)o(N) discards there is η0>0\eta_0>0 with ∣dG(μ,ν)−1/2∣≤n−η0|d_G(\mu,\nu)-1/2|\le n^{-\eta_0} for all laws of width ≤nη0\le n^{\eta_0} on both sides and either color.
  • Sections 8--11, extension of discrepancy (pp. 69--106). Lemma 8.1 and Corollary 8.2 extend the bound to unequal power widths in both orientations, with an exponent depending on the width pair. Definition 9.1 introduces limiting bias exponents H†H^\dagger (power widths) and HL†H_L^\dagger (one linear width) and Proposition 9.2 excludes H†<1H^\dagger<1 and 0<HL†<10<H_L^\dagger<1. Proposition 10.1 and Corollary 10.2 exclude full-dimensional cluster patches (diffuse second-side clusters with codegree at least 1/4+n−δ1/4+n^{-\delta}) under initial discrepancy. Proposition 11.1 excludes the jump HL†=0H_L^\dagger=0, and Corollary 11.4 records that the only remaining case has HL†≥1H_L^\dagger\ge1 in both orientations, that is, discrepancy at most n−1+ϵn^{-1+\epsilon} at some budgets nxn^x and αn\alpha n for every fixed ϵ>0\epsilon>0.
  • Section 12, Deep discrepancy and interaction estimates (pp. 106--111). Corollary 12.1 (display (12.1)): ∣dG(σ,π)−1/2∣≤n−1+.04|d_G(\sigma,\pi)-1/2|\le n^{-1+.04} at widths αn\alpha n and nx∗n^{x_*} in either order, for some fixed 0<α,x∗<.010<\alpha,x_*<.01. Lemmas 12.2--12.6 give the centered-moment, interaction-tail, extension-count and row-trimming estimates used later, and a paragraph fixes the order in which the remaining constants are chosen.
  • Sections 13--14, patch extraction (pp. 111--125). Definition 13.1 measures residual bias and cluster scales g,qg,q; Lemma 13.2 bounds them. Proposition 13.3 extracts disjoint patches (Xi,Yi)(X_i,Y_i) of one mode, orientation and color with ∑iMi≥cN\sum_iM_i\ge cN, allocates subcubes to a retained subcollection carrying more than half the total mass by dyadic prefix lengths ℓi\ell_i with ∑i2−ℓi=1\sum_i2^{-\ell_i}=1, and distinguishes a bounded case (one patch) from direct and cluster cases. Lemma 13.4 cleans the first supports. Proposition 14.1 constructs the internal odd and even laws of a cluster patch, Proposition 14.2 chooses the comparison laws by a Kakutani fixed point, and Lemma 14.3 bounds the low-mode data.
  • Section 15, High modes of the tiling (pp. 125--132). Lemma 15.1 (high direct mode): an odd injection whose even rows, supported on common neighbors, have mass at least 1/21/2 and column sums at most 1/21/2, whence Hall's theorem embeds the cube. Propositions 15.3--15.4 (high cluster modes): conditional bin and label samplers and an nn-th moment bound on the even column loads, from which, with the mass gates and patch counts, the embedding follows.
  • Sections 16--18, Low modes (pp. 132--165). Lemma 16.1 sorts the odd roles by a linear syndrome map and declares late those whose syndrome lies in a chosen subspace, giving rr late classes with A0log⁡n≤r<2A0log⁡nA_0\log n\le r<2A_0\log n, each even role having at most one neighbor per late class; Propositions 16.3--16.4 calibrate bin and label samplers; Section 17 (Lemmas 17.1--17.3, Proposition 17.4) controls the common-neighbor lists of even roles under finite Moser--Tardos-style resampling rounds; Section 18 (Lemmas 18.1--18.2, Propositions 18.3--18.5) replaces the late classes one at a time, leaving two candidates per even role, and Lemma 18.6 (two-endpoint Hall estimate) rules out Hall-deficient collections. The concluding paragraph (p. 165) assembles the contradiction and notes that "This existence argument does not provide a numerical value for CC."
  • Appendix A, Quantitative guide to the regimes (pp. 166--169): a table of every case with its width, density and loss budgets, and conventions for the boundaries between cases.
  • References (pp. 170--172): 34 items.

External inputs the proof rests on, all at statement level: Ramsey's theorem (1930), Hall's theorem (1935), the Lovász local lemma in its lopsided and conditional forms (Erdős--Lovász 1975, Erdős--Spencer 1991, Lu--Székely 2007), the Moser--Tardos algorithm and its distribution (Moser--Tardos 2010, Haeupler--Saha--Srinivasan 2011, Harris--Srinivasan 2017), Kakutani's fixed point theorem (1941), the Azuma and Hoeffding inequalities, Finner's product-space Hölder inequality (1992), the common-neighborhood sampling step of dependent random choice (Fox--Sudakov 2009, Lemma 2.1, in Section 4) and Hamming's syndrome correction rule (1950, for the projections of Section 10). Dependent rounding (Gandhi, Khuller, Parthasarathy and Srinivasan 2006), Lipschitz percolation (Dirr, Dondl, Grimmett, Holroyd and Scheutzow 2010) and the local lemma for random injections (Lu--Székely 2007, Theorem 1, in Section 18) are cited as precedents, not as inputs, and Freedman's inequality (1975) is cited for comparison with a bounded-jump exponential estimate proved in Section 3. The manuscript flags nothing as numerical, computer-assisted or conditional; it states that the constant CC is not computed, that no rate of divergence of N/2nN/2^n is assumed, and that some low-mode scales need not tend to infinity (Remark 16.5). The release folder holds paper.pdf, README.md and a build directory and no verification/ folder.

Bears on

  • Problem 181: claimed resolution. Theorem 1.1 asserts R(Qn)≤C2nR(Q_n)\le C2^n for every n≥0n\ge0 with an absolute constant CC, which is the problem's statement R(Qn)≪2nR(Q_n)\ll2^n. The manuscript's abstract calls it "the hypercube Ramsey conjecture of Burr and Erdős" (p. 1) while its Section 1.1 says Burr and Erdős asked the question; the page records that the 1975 source poses it as a test case and that Erdős in 1981 expected it to fail. Beside the trivial lower bound 2n2^n the page records the two-block bound R(Qn)≥3⋅2n−1−1R(Q_n)\ge3\cdot2^{n-1}-1, which the manuscript's Section 1.1 states and proves, so that the claimed theorem gives R(Qn)=Θ(2n)R(Q_n)=\Theta(2^n); the manuscript says the theorem gives no value of CC and does not decide whether R(Qn)/2nR(Q_n)/2^n converges. The manuscript names no Erdős problem number. The claim is unverified here; the page's status rests on acceptance evidence.