What the papers state
For every \varepsilon>0 there exists a finite constant C_\varepsilon such that, for every 0<\delta<1 and every f\in L^3(\R^3),
\|K_\delta f\|_{L^3(S^2)}
\le C_\varepsilon\delta^{-\varepsilon}
\|f\|_{L^3(\R^3)}.
Let K\subset\R^4. Suppose that for every e\in S^3 there is a point a_e\in\R^4 such that
\{a_e+te:0\leq t\leq1\}\subset K.
Then \dim_H K=4.
The release does not say which paper theorem its catalogue describes. The statements above share the most wording with the description; the atlas has not reviewed that choice. Identifying it is listed under Questions awaiting review.
- Reported proof verification
- The release has no Lean statement for this family. The papers are available to read and assess.
Papers
Each paper opens as a reading page in the browser, with the PDF beside it. The statements each paper opens with are on its reading page.
23 September 2026, current edition.
Read it herePDF
We prove the Kakeya maximal conjecture in three dimensions. For every ε > 0, the maximal average over unit tubes of radius δ maps \(L^3(\mathbb R^3)\) to \(L^3(S^2)\) with norm at most \(C_\varepsilon\delta^{-\varepsilon}\).
24 September 2026, current edition.
Read it herePDF
We prove the four-dimensional Hausdorff-dimension Kakeya conjecture: every subset of ℝ4 containing a unit line segment in every direction has Hausdorff dimension four. No compactness or regularity assumption is imposed on the set or its witnessing line family.
Lean statements
The release has no Lean statement for this family. Its papers remain available to read, and contributors can propose a formal statement of a result. Suggest a change
Independent comparisons and proof-verification reports
Does the Lean express the advertised result?
The release contains no Lean statement for this family, so there is no formal statement to compare with OpenAI’s description.
Explanations by others
Explanations of this family written elsewhere, by the people named. Each is their own reading of the mathematics.
Scientific American (byline not recorded), The most exciting claims from OpenAI’s heap of new proofs, 8 October 2026. Source
Describes the four-dimensional Kakeya result as extending the three-dimensional case of Wang and Zahl.
mo271, Wikipedia/Kakeya: the Kakeya set conjecture holds in dimension 4 (issue 6910), 7 October 2026. Source
The release manuscript proves every four-dimensional Kakeya set has full Hausdorff dimension.
What these papers cite in the release, and what cites them
These links come from the papers’ bibliographies. A citation records that one paper cites another; how each cited result is used has not been examined here.
Within this family
Papers elsewhere in the release that this family’s papers cite
Papers elsewhere in the release that cite this family’s papers
References outside the release
Each paper’s outside references are listed with it on its reading page, where each citation is placed. Every outside work cited in the release: References outside the release
Explain a result, compare statements or propose a correction
Atlas has no contributed explanation for this family yet. You can offer one with a GitHub account. You receive named credit and disclose any AI assistance.
What people have said
Commentary on this family by others, dated and credited. It is commentary, not a finding.
An unsigned public tier list, the OpenAI Math Tier List, classes it as a proof and rates its significance, if it holds up, as “Would win a Fields Medal”. The page says that nothing on it is verified.
Author not stated. Source
Robert Hart, ‘Pure insanity’: Mathematicians will need years to make sense of OpenAI’s latest drop, 9 October 2026. Source
Jared Duker Lichtman (Stanford) puts the four-dimensional Kakeya result among tens of results they would rate at the level of major breakthroughs, alongside progress on the Riemann hypothesis and a special case of the Hodge conjecture.
Questions awaiting review
Each item identifies a statement, definition or report that needs further review. Its link opens a GitHub form with the source version already recorded.
Identify the theorem the catalogue describes
- Family 074 No single paper statement clearly matches OpenAI’s description by wording, and no review identifying the intended theorem is recorded. Open the form
State the result in Lean
- Family 074 The release has no Lean statement for this family. Open the form