Lean statement

Almost-sure spectrum of the planar Anderson operator

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.PlanarAnderson.anderson_spectrum_ae

Lean statement file: PlanarAndersonSpectrum.leanShow on the mapOpenAI’s Lean catalogue does not list this as a main result; the release’s Lean notes for family 261 link it.

See the candidate theorem Who ran the proof-verification program Report a comparison with the paper (GitHub issue)

The Lean statement

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

theorem anderson_spectrum_ae {h : ℝ} (hh : 0 < h) :    ∀ᵐ v ∂disorderLaw h, ∃ H : Hilbert →L[ℂ] Hilbert,      IsAndersonOperator v H ∧ IsSelfAdjoint H ∧ spectrum ℂ H = spectralInterval h := 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.PlanarAnderson.Site line 11
```
abbrev Site := ℤ × ℤ
```
abbreviation OAI.PlanarAnderson.Configuration line 12
```
abbrev Configuration := Site → ℝ
```

abbreviation OAI.PlanarAnderson.Hilbert line 13

abbrev Hilbert := lp (fun _ : Site => ℂ) 2

definition OAI.PlanarAnderson.disorderLaw line 15

def disorderLaw (h : ℝ) : Measure Configuration :=  Measure.infinitePi (fun _ : Site => ProbabilityTheory.cond volume (Set.Icc (-h) h))

definition OAI.PlanarAnderson.IsAndersonOperator line 18

def IsAndersonOperator (v : Configuration) (H : Hilbert →L[ℂ] Hilbert) : Prop :=  ∀ (u : Hilbert) (x : Site),    (H u) x = u (x.1 + 1, x.2) + u (x.1 - 1, x.2) +      u (x.1, x.2 + 1) + u (x.1, x.2 - 1) + (v x : ℂ) * u x

definition OAI.PlanarAnderson.spectralInterval line 23

def spectralInterval (h : ℝ) : Set ℂ :=  {z | z.im = 0 ∧ -4 - h ≤ z.re ∧ z.re ≤ 4 + h}

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: spectrum, interval, spectral and probability. Found in the paper’s title, which its main theorem states: disorder and anderson. Shared only with the release’s name for the Lean statement or OpenAI’s note on it: pure, point and almost.

Statements in Pure-Point Spectrum for the Two-Dimensional Anderson Model at Every Positive Disorder come first because the release lists only that paper for this Lean statement.

Theorem 1.1 of Pure-Point Spectrum for the Two-Dimensional Anderson Model at Every Positive Disorder

Theorem

For each fixed h>0, almost surely H_v has pure-point spectral type, admits a complete orthonormal eigenbasis, and has spectrum

\sigma(H_v)=[-4-h,4+h].

Its eigenvalues are dense in this interval. The probability-one event in this statement is allowed to depend on h.

Section 1, Introduction Read it in the paper TeX source, line 19

Show the TeX

For each fixed $h>0$, almost surely $H_v$ has pure-point spectral type,
admits a complete orthonormal eigenbasis, and has spectrum
\[
 \sigma(H_v)=[-4-h,4+h].
\]
Its eigenvalues are dense in this interval. The probability-one event
in this statement is allowed to depend on $h$.

Other possible paper matches, closest wording first

Proposition 11.3 of Pure-Point Spectrum for the Two-Dimensional Anderson Model at Every Positive Disorder. Words of the Lean statement, its names split into words, that also appear in the theorem: spectral, measure and site. Shared only with the release’s name for the Lean statement or OpenAI’s note on it: pure, point and almost.
Proposition 9.2 of Absolutely Continuous Spectrum for Weak-Disorder Anderson Models in Dimensions at Least Three. Words of the Lean statement, its names split into words, that also appear in the theorem: anderson, operator, interval, measurable, spectral, im and two more. Shared only with the release’s name for the Lean statement or OpenAI’s note on it: almost.
Proposition 4.8 of Absolutely Continuous Spectrum for Weak-Disorder Anderson Models in Dimensions at Least Three. Words of the Lean statement, its names split into words, that also appear in the theorem: adjoint, hilbert, self, operator, real and site.
Theorem 1.1 of Absolutely Continuous Spectrum for Weak-Disorder Anderson Models in Dimensions at Least Three. Words of the Lean statement, its names split into words, that also appear in the theorem: integer and spectral. Found in the paper’s title, which its main theorem states: disorder, spectrum and anderson. Shared only with the release’s name for the Lean statement or OpenAI’s note on it: almost.
Proposition 6.2 of Pure-Point Spectrum for the Two-Dimensional Anderson Model at Every Positive Disorder. Words of the Lean statement, its names split into words, that also appear in the theorem: configuration and law. Shared only with the release’s name for the Lean statement or OpenAI’s note on it: almost.
Proposition 5.1 of Pure-Point Spectrum for the Two-Dimensional Anderson Model at Every Positive Disorder. Words of the Lean statement, its names split into words, that also appear in the theorem: complex, law, im and site.

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

three independent groups report that Comparator accepted runs for this Lean statement file: Carlos Toledo’s cert-machine; MathVet; Neal McBurnett’s openai-math-lean-tooling. 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

Neal McBurnett’s openai-math-lean-tooling

How they ran it, in their words

Each challenge’s solution is built and checked by Comparator at the pinned release, on Lean leanprover/lean4:v4.34.1, recording the verdict, the check time and the peak memory; the run was still in progress at this snapshot (192 accepted, 224 pending).

Accepted Their term: “accepted”.
Re-run through Comparator with Lean’s kernel: accepted (the check took 228 s).
Reported 10 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 261’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.

Neither group finds that the Lean statements express or imply the whole advertised result. They describe what the statements express in different terms.

MathVet
Finds part of it stated, or a narrower or weaker statement Their term: “weaker-statement”.
The challenge statements do not imply the headline claim: they state a nontrivially weaker statement. Their record
Their note: anderson_spectrum_ae (hh : 0 < h) : ∀ᵐ v ∂disorderLaw h, ∃ H, IsAndersonOperator v H ∧ IsSelfAdjoint H ∧ spectrum ℂ H = spectralInterval h identifies only the spectrum [-4-h, 4+h] of the 2D nearest-neighbor Anderson operator (iid Uniform[-h,h] potentials); docs: 'It does not assert the pure-point spectral type claimed in the accompanying paper'. The summary's headline claims (almost-sure pure-point spectrum in d = 2 at every positive disorder, and purely absolutely continuous spectrum on an open interval for weak disorder in every d >= 3) are both unstated.
Carlos Toledo’s cert-machine
Finds part of it stated, or a narrower or weaker statement Their term: “NARROWER — UNDECLARED”.
The challenge statements state less than the headline, and OpenAI’s Lean note does not say so. Their record
Their note: Both spectral-type claims: pure-point spectrum in d = 2 (declared) and absolutely continuous spectrum in d ≥ 3 (undeclared). The only formal content is the almost-sure spectrum as a set in d = 2.

Read the complete assessments on the family page.

OpenAI’s own note on what this Lean statement covers

“This selected statement identifies the spectral set. It does not assert the pure-point spectral type claimed in the accompanying paper.”
Quoted from OpenAI’s Lean note for this family

An AI agent drafted an interpretation of that note, classifying this statement as “states part of a paper’s theorem”. No human review of the draft is recorded.

Supporting material

The complete Lean statement file

35 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: 14 to its own declarations, 9 to Mathlib’s documentation. 7 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.

Definitions and lemmas named by the statement

If Comparator accepts a proof, it proves anderson_spectrum_ae exactly as written here. To compare that statement with the paper, also read the definitions and lemmas listed below. Atlas found them by following names in the source text and lists each after the names it uses. For x.foo, Atlas includes every foo defined here for a type, even when the statement may use only one of them.

It reaches all 6 other declarations of the file; with the theorem itself they span 15 lines. 4 of them are named in the statement itself.

Names in the namespace OAI.PlanarAnderson are listed without it.

abbrev Siteline 11library
abbrev Configurationline 12library
abbrev Hilbertline 13in the statementlibrary
def disorderLawline 15in the statementlibrary
def IsAndersonOperatorline 18in the statementlibrary
def spectralIntervalline 23in the statementlibrary
theorem anderson_spectrum_aeline 26selected theoremlibrary

import Mathlibnamespace OAInoncomputable sectionopen MeasureTheoryopen scoped ENNRealnamespace PlanarAndersonabbrev Site := ℤ × ℤabbrev Configuration := Site → ℝabbrev Hilbert := lp (fun _ : Site => ℂ) 2def disorderLaw (h : ℝ) : Measure Configuration :=  Measure.infinitePi (fun _ : Site => ProbabilityTheory.cond volume (Set.Icc (-h) h))def IsAndersonOperator (v : Configuration) (H : Hilbert →L[ℂ] Hilbert) : Prop :=  ∀ (u : Hilbert) (x : Site),    (H u) x = u (x.1 + 1, x.2) + u (x.1 - 1, x.2) +      u (x.1, x.2 + 1) + u (x.1, x.2 - 1) + (v x : ℂ) * u xdef spectralInterval (h : ℝ) : Set ℂ :=  {z | z.im = 0 ∧ -4 - h ≤ z.re ∧ z.re ≤ 4 + h}theorem anderson_spectrum_ae {h : ℝ} (hh : 0 < h) :    ∀ᵐ v ∂disorderLaw h, ∃ H : Hilbert →L[ℂ] Hilbert,      IsAndersonOperator v H ∧ IsSelfAdjoint H ∧ spectrum ℂ H = spectralInterval h := by  sorryend PlanarAndersonendend 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.

Pure-Point Spectrum for the Two-Dimensional Anderson Model at Every Positive Disorder

Theorem

For each fixed h>0, almost surely H_v has pure-point spectral type, admits a complete orthonormal eigenbasis, and has spectrum

\sigma(H_v)=[-4-h,4+h].

Its eigenvalues are dense in this interval. The probability-one event in this statement is allowed to depend on h.

Section 1, Introduction Read it in the paper TeX source, line 19

Show the TeX

For each fixed $h>0$, almost surely $H_v$ has pure-point spectral type,
admits a complete orthonormal eigenbasis, and has spectrum
\[
 \sigma(H_v)=[-4-h,4+h].
\]
Its eigenvalues are dense in this interval. The probability-one event
in this statement is allowed to depend on $h$.

Configuration and file facts

File: lean/ComparatorChallenges/PlanarAndersonSpectrum.lean
OpenAI’s Lean catalogue: OpenAI’s Lean catalogue does not list this as a main result; the release’s Lean notes for family 261 link it.
Solution module: OAI.MathematicalPhysics.PlanarAnderson.Spectrum
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
Imports from outside Mathlib: None
Local vocabulary: 6 local vocabulary declarations
Lines of Lean, without comments or blank lines: 15
Second proof-verification program (nanoda): Off in OpenAI's configuration.

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

Plectis Atlas