Lean is a language for mathematical statements and proofs that a computer can verify. This page shows one statement file from OpenAI’s release, possible paper matches and independent reports. The code-like names below identify the definitions or theorems selected by the proof-verification settings.
Theorem selected for verification:OAI.EuclideanFiveColor.no_proper_five_coloring
Problem reported A reader replaced the proper-colouring definition by false and Comparator accepted a trivial proof, because that definition is listed as a hole. Alex Meiburg, Several of the comparator challenges in the OpenAI release are broken and hackable, 2026-10-08Source
The Lean statement
The lines of the Lean statement that state the theorem, then the definitions in the file that it uses.
A Lean statement states the theorem and leaves its proof as sorry on purpose. OpenAI’s proof is in a separate solution module, and a program called Comparator checks that proof against this statement.
Definitions needed to read it
Local definitions the statement names, followed through the definitions they name in turn. The match is by name in the source text, so a name reached only through notation can be missed; the full file is below.
defProperColoring (colorCount : ℕ) (coloring : ℂ → Fin colorCount) : Prop := ∀ point otherPoint : ℂ, ‖point - otherPoint‖ = 1 → coloring point ≠ coloring otherPoint
Definitions taken from OpenAI’s library 1
Comparator compares only the name and type of each definition listed here. When a theorem is configured, its proof uses the definition in OpenAI’s solution library. Read that definition as well as the one in this file when comparing the statement with the paper.
Comparator checks the name and type of ProperColoring; its definition is in OpenAI’s library, in the modules that OAI.Geometry.PlaneColoring.Five imports.
Possible paper match, with no recorded review
Atlas selected this possible match by comparing words in the Lean statement with every statement in the family. No review of whether the statements mean the same thing is recorded.
Words of the Lean statement, its names split into words, that also appear in the theorem: proper, five and coloring. Shared only with the release’s name for the Lean statement or OpenAI’s note on it: arbitrary.
Theorem 1.1 of The Euclidean plane is not five-colorable
Theorem
The Euclidean plane has no proper five-coloring, even when arbitrary color classes are allowed. Consequently,
The Euclidean plane has no proper five-coloring, even when arbitrary
color classes are allowed. Consequently,
\[
6\le \chi(\R^2)\le 7.
\]
Other possible paper matches, closest wording first
Proposition 4.2 of The Euclidean plane is not five-colorable. Words of the Lean statement, its names split into words, that also appear in the theorem: integer, proper and colorings. Shared only with the release’s name for the Lean statement or OpenAI’s note on it: measurable.
Theorem 1.3 of The Euclidean plane is not five-colorable. Words of the Lean statement, its names split into words, that also appear in the theorem: integer, proper and coloring. Shared only with the release’s name for the Lean statement or OpenAI’s note on it: measurable.
Theorem 1.4 of The Euclidean plane is not five-colorable. Words of the Lean statement, its names split into words, that also appear in the theorem: five and coloring. Shared only with the release’s name for the Lean statement or OpenAI’s note on it: measurable.
Proposition 7.1 of The Euclidean plane is not five-colorable. Words of the Lean statement, its names split into words, that also appear in the theorem: point, integer, five and coloring. Shared only with the release’s name for the Lean statement or OpenAI’s note on it: measurable.
Proposition 8.2 of The Euclidean plane is not five-colorable. Words of the Lean statement, its names split into words, that also appear in the theorem: five.
Corollary 1.5 of The Euclidean plane is not five-colorable. Words of the Lean statement, its names split into words, that also appear in the theorem: five and coloring. Shared only with the release’s name for the Lean statement or OpenAI’s note on it: measurable.
How Atlas selects possible matches: it compares words in the Lean statement with every statement in the family. It also splits Lean names into words. The release’s label and note receive less weight; a main theorem wins a close match. If the Lean wording yields no clear match, Atlas uses the catalogue description. This selects passages to compare; it does not establish that they mean the same thing.
Reported Comparator runs
two independent groups report that Comparator accepted runs for this Lean statement file: Carlos Toledo’s cert-machine; MathVet. Each group reports its own Comparator run for this statement file. Atlas has not repeated the runs.
For a configured theorem, Comparator tests whether OpenAI’s proof proves the exact Lean statement. Some files instead configure definitions for comparison by name and type. Acceptance does not establish that the statement means the same thing as the paper’s theorem.
Every Comparator challenge re-run on Linux with nanoda switched on, decided by a preregistered rule; every family’s challenge statements read against OpenAI’s headline, clause by clause. Decider: Comparator (leanprover/comparator d03acab1 = tag v4.34.0, built with the release’s toolchain v4.34.1), lean4export 076e8e57, landrun 811cfff5, nanoda_lib 3a240721 — on GitHub’s Linux runners (.github/workflows/openai-math-kernel.yml), one j…
AcceptedTheir term: “CERTIFIED”.
Re-run through Comparator with the independent nanoda kernel switched on: Lean’s kernel and nanoda both accept OpenAI’s solution.
An independent, model-assisted, pre-referee reading of each family’s challenge statements against its headline claim under a published rubric (PROTOCOL.md), with its own Comparator runs per challenge. Its protocol describes a planned error-rate study; this import does not establish that the study has been completed.
AcceptedTheir term: “comparator-sandboxed-pass”.
Re-run through Comparator in a sandboxed virtual machine: accepted.
If Comparator is run under this configuration and accepts, the solution proves the configured theorem using only the allowed axioms, and the Lean kernel accepts every step.
Acceptance leaves open whether the Lean statement means the same thing as the paper’s theorem, whether the paper’s other claims are correct, and whether the result is new. Those questions require comparing the definitions and statements, reviewing the paper’s arguments, and reading the earlier literature.
Do family 158’s Lean statements express the advertised result?
These assessments compare all the family’s Lean statements with the whole result OpenAI describes in its catalogue. They do not assess this statement alone. Each group uses its own published rules.
MathVet and cert-machine agree on how much of the advertised result the Lean statements express.
Finds the whole advertised result stated or impliedTheir term: “full”.
The challenge statements imply the headline claim after unpacking definitions or one routine step. Their record
Their note: no_proper_five_coloring : ¬ ∃ coloring : ℂ → Fin 5, ∀ p q, ‖p - q‖ = 1 → coloring p ≠ coloring q is the headline for arbitrary colorings (no measurability or color-class hypothesis), and properColoring_seven gives the classical seven-coloring of EuclideanSpace ℝ (Fin 2) (so only 6 or 7 remain). The two statements use different plane models (ℂ with its norm vs EuclideanSpace ℝ (Fin 2), namespace Problem160), both genuinely the Euclidean plane; no lemma identifies them, which does not matter for either claim.
OpenAI’s own note on what this Lean statement covers
“The formalized results prove that five colors do not suffice and that seven colors do suffice. The lower bound applies to arbitrary colorings, with no measurability or continuity assumption; the upper bound includes every boundary point of the coloring regions.”
An AI agent drafted an interpretation of that note, classifying this statement as “states a paper’s theorem as the paper does”. No human review of the draft is recorded.
Supporting material
The complete Lean statement file
15 lines, copied from release version fd4aeeb. A name defined in this file links to its line; pointing at the name shows its definition.
Declared in this fileOpenAI’s library at fd4aeebOther linked names open the current documentation for Mathlib, Lean’s mathematical library.
Links in the file: 1 to its own declarations, 2 to Mathlib’s documentation. 2 declared names also link to the same declaration in OpenAI’s library. OpenAI uses Mathlib version d13f23b. The linked documentation describes the current version, so names that have since changed may be missing there.
There is no weak measurable five-coloring of the Euclidean plane.
Corollary(Positive five-color badness)
There is a constant \delta>0 with the following properties.
(i)
For every coloring c:\R^2\to\{1,\ldots,5\} and every normalized finitely additive left-invariant measure \mu on all subsets of the plane-isometry group E(2), the invariant-mean badness satisfies
where \R^2 is identified with \C. • [(ii)] If c is a Lebesgue-measurable five-coloring with two linearly independent periods, then \mathbb P(c(A)=c(A+U))\ge\delta, where A is uniform in a fundamental parallelogram and U is an independent uniform unit direction. For any Lebesgue-measurable five-coloring, if the conditional square-table frequencies
There is a constant $\delta>0$ with the following properties.
\begin{enumerate}
\item[(i)] For every coloring $c:\R^2\to\{1,\ldots,5\}$ and every
normalized finitely additive left-invariant measure $\mu$ on all subsets
of the plane-isometry group $E(2)$, the invariant-mean badness satisfies
\[
p_5^\mu(c):=\mu\bigl(\{T\in E(2):c(T^{-1}0)=c(T^{-1}1)\}\bigr)
\ge\delta,
\]
where $\R^2$ is identified with $\C$.
\item[(ii)] If $c$ is a Lebesgue-measurable five-coloring with two
linearly independent periods, then
$\mathbb P(c(A)=c(A+U))\ge\delta$, where $A$ is uniform in a
fundamental parallelogram and $U$ is an independent uniform unit
direction. For any Lebesgue-measurable five-coloring, if the conditional
square-table frequencies
\[
\mathbb P\bigl(c(A_R)=c(A_R+U)\mid A_R+U\in[-R,R]^2\bigr)
\qquad(R>1)
\]
converge as $R\to\infty$, their limit is at least $\delta$; here
$A_R$ is uniform in $[-R,R]^2$ and independent of $U$.
\end{enumerate}
A Lean statement states the theorem and leaves its proof as sorry on purpose. OpenAI’s proof is in a separate solution module, and a program called Comparator checks that proof against this statement.
Comparator checks only the name and type of ProperColoring; its body comes from the solution.
Recorded comparisons with the paper
Atlas records no contributed comparison of this statement with the paper.
Contributed Comparator run reports
Atlas records no contributed report of running Comparator for this statement file.
More about this statement
Follow-up result Davidson records that OpenAI's no-5-colouring theorem forces the monomial Cayley graph parameter M(r) to be at least 6 for some finite r, and poses finding the least such r as a concrete problem. Jonathan Davidson, Coloring Monomial Cayley Graphs: The One-Parameter Case, 2026-10-07Source
Questions to resolve when comparing this statement with the paper
1 definition hole: Comparator compares it by name and type only, so a reader checks what each solution body means.