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Lean statement

Smooth local isometric-immersion obstruction

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.SmoothLocal.Geometry.exists_local_metric_without_local_immersion

Lean statement file: IsometricImmersion.leanShow on the mapFamily 334. OpenAI lists this as a main result in its Lean catalogue.

The Lean statement

The lines of the Lean statement that state the theorem, then the definitions in the file that it uses.

theorem exists_local_metric_without_local_immersion :    ∃ g : coordinateSquareOpen → Matrix (Fin 2) (Fin 2) ℝ,      LocalSmoothPositive coordinateSquareOpen g ∧      ∀ U : Opens Coord, ∀ hUS : (U : Set Coord) ⊆ square,        (0 : Coord) ∈ U → ∀ F : U → Ambient,          ¬ (ContMDiff 𝓘(ℝ, Coord) 𝓘(ℝ, Ambient) ∞ F ∧            ∀ p : U, ∀ v w : Coord,              (inner ℝ : Ambient → Ambient → ℝ) (mfderiv 𝓘(ℝ, Coord) 𝓘(ℝ, Ambient) F p v)                (mfderiv 𝓘(ℝ, Coord) 𝓘(ℝ, Ambient) F p w) =                  v ⬝ᵥ (g ⟨p, hUS p.property⟩ *ᵥ w)) := by  sorry

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.

  • abbreviation OAI.SmoothLocal.Geometry.Coord line 15

    abbrev Coord := Fin 2 → ℝ
  • abbreviation OAI.SmoothLocal.Geometry.Ambient line 17

    abbrev Ambient := EuclideanSpace ℝ (Fin 3)
  • definition OAI.SmoothLocal.Geometry.square line 19

    def square : Set Coord := {p | ∀ i, p i ∈ Set.Ioo (-1 : ℝ) 1}
  • definition OAI.SmoothLocal.Geometry.LocalSmoothPositive line 21

    def LocalSmoothPositive (U : Opens Coord)    (g : U → Matrix (Fin 2) (Fin 2) ℝ) : Prop :=  (∀ i j, ContMDiff 𝓘(ℝ, Coord) 𝓘(ℝ, ℝ) ∞ (fun p => g p i j)) ∧    ∀ p, (g p).PosDef
  • definition OAI.SmoothLocal.Geometry.coordinateSquareOpen line 43

    def coordinateSquareOpen : Opens Coord :=  ⟨square, SmoothLocal.ODE.coordinate_square_isOpen⟩

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: immersion, positive, smooth and metric. Found in the paper’s title, which its main theorem states: space and local. Shared only with the release’s name for the Lean statement or OpenAI’s note on it: admits, definite, origin, isometric and neighborhood.

Theorem A (unnumbered) of A Smooth Metric with No Local Isometric Immersion into Three-Space

Theorem A

There is a C^\infty positive definite Riemannian metric g on (-1,1)^2 such that no open neighborhood U of the origin admits a C^\infty isometric immersion

F:(U,g)\longrightarrow\R^3.

In particular, no such neighborhood admits a smooth isometric embedding.

Section 1, Introduction Read it in the paper TeX source, line 70
Show the TeX
There is a \(C^\infty\) positive definite Riemannian metric \(g\) on
\((-1,1)^2\) such that no open neighborhood \(U\) of the origin admits a
\(C^\infty\) isometric immersion
\[
F:(U,g)\longrightarrow\R^3.
\]
In particular, no such neighborhood admits a smooth isometric embedding.

Other possible paper matches, closest wording first

  • Corollary 5.3 of A Smooth Metric with No Local Isometric Immersion into Three-Space. Words of the Lean statement, its names split into words, that also appear in the theorem: euclidean, coordinates, smooth, local and metric. Shared only with the release’s name for the Lean statement or OpenAI’s note on it: isometric.
  • Proposition 2.2 of A Smooth Metric with No Local Isometric Immersion into Three-Space. Words of the Lean statement, its names split into words, that also appear in the theorem: metric. Shared only with the release’s name for the Lean statement or OpenAI’s note on it: obstruction and neighborhood.
  • Proposition 3.1 of A Smooth Metric with No Local Isometric Immersion into Three-Space. Words of the Lean statement, its names split into words, that also appear in the theorem: coordinate.

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.

Carlos Toledo’s cert-machine

How they ran it, in their words

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…

  • Accepted Their term: “CERTIFIED”.

    Re-run through Comparator with the independent nanoda kernel switched on: Lean’s kernel and nanoda both accept OpenAI’s solution.

    Reported 10 October 2026, at the release version shown here. Original verification report

MathVet

How they ran it, in their words

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.

  • Accepted Their term: “comparator-sandboxed-pass”.

    Re-run through Comparator in a sandboxed virtual machine: accepted.

    Reported 8 October 2026, at the release version shown here. Original verification report

What an accepted Comparator run would establish

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.

This configuration lists no definition holes, so every definition the statement uses is compared as it is written in this file.

Allowed axioms: propext, Quot.sound, Classical.choice

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 334’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.

  • MathVet

    Finds the whole advertised result stated or implied Their term: “full”.

    The challenge statements imply the headline claim after unpacking definitions or one routine step. Their record

    Their note: There is a smooth (C^∞, positive-definite) metric g on (-1,1)² such that for every open U ⊆ the square containing 0 and every F : U → ℝ³ it is false that F is C^∞ with ⟨dF v, dF w⟩ = vᵀ g w at every point of U, so no neighbourhood of the origin admits a smooth isometric immersion, as in the summary.

  • Carlos Toledo’s cert-machine

    Finds the whole advertised result stated or implied Their term: “MATCHES”.

    The challenge statements state the headline as OpenAI wrote it. Their record

Read the complete assessments on the family page.

OpenAI’s own note on what this Lean statement covers

“The formalized counterexample is a smooth positive-definite metric on $(-1,1)^2$ for which no neighborhood of the origin admits a smooth isometric immersion into $\mathbb R^3$. The obstruction applies to every smooth candidate map on every such neighborhood.”

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

62 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: 27 to its own declarations, 25 to Mathlib’s documentation. 7 declared names also link to the same declaration in OpenAI’s library. 1 identifier stays plain because it resolves to no single declaration: a variable Lean binds automatically, notation, or a name the scan of the pinned sources did not find. 1 of them could name more than one declaration. OpenAI uses Mathlib version d13f23b. The linked documentation describes the current version, so names that have since changed may be missing there.

import Mathlib.Analysis.InnerProductSpace.Calculusimport Mathlib.LinearAlgebra.Matrix.PosDefimport Mathlib.LinearAlgebra.Matrix.NonsingularInverseimport Mathlib.Geometry.Manifold.ContMDiff.NormedSpaceimport Mathlib.Geometry.Manifold.MFDeriv.FDerivnamespace OAInoncomputable sectionopen Set TopologicalSpaceopen scoped ContDiff Topology Manifold Matrixnamespace SmoothLocal.Geometryabbrev Coord := Fin 2 → ℝabbrev Ambient := EuclideanSpace ℝ (Fin 3)def square : Set Coord := {p | ∀ i, p i ∈ Set.Ioo (-1 : ℝ) 1}def LocalSmoothPositive (U : Opens Coord)    (g : U → Matrix (Fin 2) (Fin 2) ℝ) : Prop :=  (∀ i j, ContMDiff 𝓘(ℝ, Coord) 𝓘(ℝ, ℝ) ∞ (fun p => g p i j)) ∧    ∀ p, (g p).PosDefend SmoothLocal.Geometrynamespace SmoothLocal.ODEopen SmoothLocal.Geometrytheorem coordinate_square_isOpen : IsOpen square := by  have heq : square = ⋂ i : Fin 2,      (fun p : Coord => p i) ⁻¹' Ioo (-1 : ℝ) 1 := by    ext p    simp [square]  rw [heq]  exact isOpen_iInter_of_finite (fun i => isOpen_Ioo.preimage (continuous_apply i))end SmoothLocal.ODEnamespace SmoothLocal.Geometrydef coordinateSquareOpen : Opens Coord :=  ⟨square, SmoothLocal.ODE.coordinate_square_isOpen⟩theorem exists_local_metric_without_local_immersion :    ∃ g : coordinateSquareOpen → Matrix (Fin 2) (Fin 2) ℝ,      LocalSmoothPositive coordinateSquareOpen g ∧      ∀ U : Opens Coord, ∀ hUS : (U : Set Coord) ⊆ square,        (0 : Coord) ∈ U → ∀ F : U → Ambient,          ¬ (ContMDiff 𝓘(ℝ, Coord) 𝓘(ℝ, Ambient) ∞ F ∧            ∀ p : U, ∀ v w : Coord,              (inner ℝ : Ambient → Ambient → ℝ) (mfderiv 𝓘(ℝ, Coord) 𝓘(ℝ, Ambient) F p v)                (mfderiv 𝓘(ℝ, Coord) 𝓘(ℝ, Ambient) F p w) =                  v ⬝ᵥ (g ⟨p, hUS p.property⟩ *ᵥ w)) := by  sorryend SmoothLocal.Geometryendend OAI
Every extracted statement of the accompanying papers

The statements the atlas extracted automatically from each accompanying paper’s TeX source, with links to the full sources.

A Smooth Metric with No Local Isometric Immersion into Three-Space

Theorem A

There is a C^\infty positive definite Riemannian metric g on (-1,1)^2 such that no open neighborhood U of the origin admits a C^\infty isometric immersion

F:(U,g)\longrightarrow\R^3.

In particular, no such neighborhood admits a smooth isometric embedding.

Section 1, Introduction Read it in the paper TeX source, line 70
Show the TeX
There is a \(C^\infty\) positive definite Riemannian metric \(g\) on
\((-1,1)^2\) such that no open neighborhood \(U\) of the origin admits a
\(C^\infty\) isometric immersion
\[
F:(U,g)\longrightarrow\R^3.
\]
In particular, no such neighborhood admits a smooth isometric embedding.
Configuration and file facts
OpenAI’s Lean catalogue
OpenAI lists this as a main result in its Lean catalogue.
Allowed axioms
propext, Quot.sound, Classical.choiceThe axioms this configuration allows a proof to use. A replay shows which of them a proof uses.
Imports
Mathlib.Analysis.InnerProductSpace.Calculus, Mathlib.LinearAlgebra.Matrix.PosDef, Mathlib.LinearAlgebra.Matrix.NonsingularInverse, Mathlib.Geometry.Manifold.ContMDiff.NormedSpace, Mathlib.Geometry.Manifold.MFDeriv.FDeriv
Imports from outside Mathlib
None
Local vocabulary
5 local vocabulary declarations
Lines of Lean, without comments or blank lines
27
Second proof-verification program (nanoda)
Off in OpenAI's configuration.

Statement comparison

A shareable summary of this page: the proposed paper match, what the Lean statement expresses, and which reviews are recorded.

Plectis Atlas

Smooth local isometric-immersion obstruction

Family 334: A smooth surface metric with no local isometric immersion in ℝ3

Candidate pairing

Theorem A

There is a C^\infty positive definite Riemannian metric g on (-1,1)^2 such that no open neighborhood U of the origin admits a C^\infty isometric immersion

F:(U,g)\longrightarrow\R^3.

In particular, no such neighborhood admits a smooth isometric embedding.

A Smooth Metric with No Local Isometric Immersion into Three-Space

build/main.tex, line 70

The Lean statement says

theorem exists_local_metric_without_local_immersion :    ∃ g : coordinateSquareOpen → Matrix (Fin 2) (Fin 2) ℝ,      LocalSmoothPositive coordinateSquareOpen g ∧      ∀ U : Opens Coord, ∀ hUS : (U : Set Coord) ⊆ square,        (0 : Coord) ∈ U → ∀ F : U → Ambient,          ¬ (ContMDiff 𝓘(ℝ, Coord) 𝓘(ℝ, Ambient) ∞ F ∧            ∀ p : U, ∀ v w : Coord,              (inner ℝ : Ambient → Ambient → ℝ) (mfderiv 𝓘(ℝ, Coord) 𝓘(ℝ, Ambient) F p v)                (mfderiv 𝓘(ℝ, Coord) 𝓘(ℝ, Ambient) F p w) =                  v ⬝ᵥ (g ⟨p, hUS p.property⟩ *ᵥ w)) := by  sorry

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.

Atlas selected this possible match because the two statements share words. No review of whether they mean the same thing is recorded.two independent groups report that Comparator accepted runs for this file at the release version shown here.Statement review: none recorded

5 local vocabulary declarationsAllowed axioms: propext, Quot.sound, Classical.choiceopenai/math at fd4aeebwcook04.github.io/plectis-atlas/statements/IsometricImmersion.html

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.

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