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The Falconer distance conjecture

OpenAI groups related papers into a “family”. OpenAI’s catalogue describes this one:

Resolves the Falconer distance conjecture in every dimension d ≥ 2: every compact set \(E\subset\mathbb R^d\) with Hausdorff dimension greater than \(d/2\) determines a set of Euclidean distances of positive Lebesgue measure. (OpenAI’s Lean note)

Lean is a language for mathematical statements and proofs that a computer can verify. The assessments below ask whether those statements express the result OpenAI describes here.

Both independent assessments find that the Lean statements express or imply the whole result described above. Read the assessments

What the papers state

The release does not say which paper theorem its catalogue describes. The statement above shares the most wording with the description; the atlas has not reviewed that choice. Identifying it is listed under Questions awaiting review.

Reported proof verification
Two Lean statements in the release; independent groups report that Comparator accepted runs for all these files at the version shown here.

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.

The Falconer distance conjecture in all dimensions

23 September 2026, current edition.

Read it herePDF

We resolve the Falconer distance conjecture in every dimension. For every integer d ≥ 2, a compact subset of ℝd with Hausdorff dimension greater than \(d/2\) determines a set of Euclidean distances of positive Lebesgue measure.

Two Lean statements in this family

Choose one to see it beside the paper theorem it is paired with.

For a configured theorem, the Comparator program tests whether OpenAI’s separate proof proves the exact Lean statement using only the allowed axioms. Some statement files instead configure definitions for comparison by name and type. Acceptance does not establish that a formal statement means the same thing as the paper’s theorem.

FalconerAllDimensions

The paper states

The words they share: d/2, dim, compact, integer, conjecture, dimensions, falconer, distance.

Possible Lean counterpart

Selected from shared wording. No review of whether the statements mean the same thing is recorded.

Falconer distance theorem in every dimension

FalconerAllDimensions.lean, the release lists it as a supporting statement.

theorem falconer_distance_conjecture :    ∀ (d : ℕ), 2 ≤ d → ∀ E : Set (EuclideanSpace ℝ (Fin d)), IsCompact E →      (d : ℝ≥0∞) / 2 < dimH E →        0 < volume {r : ℝ | ∃ x ∈ E, ∃ y ∈ E, dist x y = r} := by  sorry

This file states the theorem with sorry, a placeholder, in place of its proof. OpenAI supplies a separate proof file. Comparator tests whether that proof proves the statement here.

two independent groups report that Comparator accepted runs for this Lean statement file: cert-machine; Neal McBurnett, openai-math-lean-tooling. Who ran the proof-verification program

  • cert-machine records it as “CERTIFIED”.
  • Neal McBurnett, openai-math-lean-tooling records it as “accepted”.

Read the complete Lean statement

PlanarFalconer

The paper states

Proposition 5.10 (Starting pair measures)

In The Falconer distance conjecture in all dimensions, 23 September 2026

Let E\subset\R^d be compact, d\ge2, and \dim_HE>S=d/2. Either Lemma 5.5 already proves that its distance set has positive Lebesgue measure, or the following construction is possible.

After a similarity there are compact separated sets E_1,E_2\subset E and probabilities \mu_i supported on them, each satisfying

\mu_i(B(x,u))\le C u^{S+\chi}

for a fixed \chi>0. Their cross directions lie in a fixed arbitrarily small spherical patch. For every sufficiently small fixed \omega>0, there are decreasing Borel pair sets \Gamma_N\subset E_1\times E_2 such that

  1. 1.

    (\mu_1\otimes\mu_2)(\bigcap_N\Gamma_N)>0;

  2. 2.

    \Gamma_N is a disjoint union of at most C2^{2d\omega N} products of spatial Borel sets;

  3. 3.

    for every e>0, there are c(e)>0, C_e<\infty and Borel B_N\subset\Gamma_N with (\mu_1\otimes\mu_2)(B_N)\le C_e2^{-c(e)N}, such that for G_N=\Gamma_N\setminus B_N, all 2^{-N}\le u\le1, and all spherical caps B(w,u),

    \begin{aligned}\mu_2\{y:(x,y)\in G_N,\ \pi_x(y)\in B(w,u)\} &\le2^{eN}u^S,\\ \mu_1\{x:(x,y)\in G_N,\ \pi_y(x)\in B(w,u)\} &\le2^{eN}u^S.\end{aligned}

The last bounds integrate the original opposite marginal, without normalizing its individual fibers. The B_N need not have a product partition or be nested. All constants are independent of N, but may depend on the fixed measures, \omega, and e.

The words they share: proves, plane, compact, dim, distance.

Possible Lean counterpart

Selected from shared wording. No review of whether the statements mean the same thing is recorded.

Planar Falconer distance theorem

PlanarFalconer.lean, the release lists it as a main result.

def MainTarget : Prop :=  ∀ E : Set Plane, IsCompact E → 1 < dimH E → 0 < volume (distanceSet E)theorem mainTarget_proved : MainTarget := by  sorry

This file states the theorem with sorry, a placeholder, in place of its proof. OpenAI supplies a separate proof file. Comparator tests whether that proof proves the statement here.

two independent groups report that Comparator accepted runs for this Lean statement file: cert-machine; MathVet. Who ran the proof-verification program

  • cert-machine records it as “CERTIFIED”.
  • MathVet records it as “comparator-sandboxed-pass”.

Read the complete Lean statement

Other mathematical statements in OpenAI’s Lean library

Atlas found these propositions by scanning the text of the project’s Model.lean file. Each name links to its definition, with any associated statement file beside it. This list does not record running Lean to interpret or verify those definitions.

The source scan also found 2 theorem or lemma declarations whose names contain ‘manuscript’.

Independent comparisons and proof-verification reports

Does the Lean express the advertised result?

MathVet and cert-machine agree on how much of the advertised result the Lean statements express.

MathVet and Carlos Toledo’s cert-machine independently assessed whether this family’s Lean statements express the whole result OpenAI describes in its catalogue. These are assessments of the family as a whole, not of each paper theorem separately.

MathVet finds that the Lean statements express or imply the whole advertised result (their term: “full”).

Their note: None.

“full”, in their words: The challenge statements imply the headline claim after unpacking definitions or one routine step.

Their method: 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.

cert-machine finds that the Lean statements express or imply the whole advertised result (their term: “MATCHES”).

“MATCHES”, in their words: The challenge statements state the headline as OpenAI wrote it.

Their method: Every Comparator challenge re-run on Linux with nanoda switched on, decided by a preregistered rule.

OpenAI’s own note on what its Lean covers

The formalization proves the Falconer distance conjecture in every dimension. For every integer $d\ge2$ and compact set $E\subset\mathbb R^d$ with Hausdorff dimension greater than $d/2$, the set $\{\lVert x-y\rVert:x,y\in E\}$ has positive Lebesgue measure. The linked statements include both this all-dimensional result and the earlier planar case.

AI-drafted comparisons, with no recorded human review

  • Falconer distance theorem in every dimension FalconerAllDimensions

    Unreviewed AI draft: states a paper’s theorem as the paper does. States the main theorem: in every dimension d ≥ 2, a compact set of Hausdorff dimension above d/2 has a distance set of positive Lebesgue measure.

  • Planar Falconer distance theorem PlanarFalconer

    Unreviewed AI draft: states a weaker form of a paper’s theorem. States the planar case d = 2 of the main theorem, the earlier result that the note keeps beside the all-dimensional statement.

Who ran the proof-verification program?

These groups report running Comparator with the release’s Lean statement files. For a configured theorem, it verifies OpenAI’s separate proof against the exact statement; some files instead configure definitions for comparison by name and type. Each row is the named group’s report. Atlas has not repeated the runs.

These reports do not list the software versions, proof-verification programs, axioms, time or memory in separate fields. Any such details in a report’s prose are reproduced below.

Falconer distance theorem in every dimension FalconerAllDimensions

Two reports, all at the release’s recorded version.

Reported byTheir wordTheir accountDateOriginal report
cert-machine“CERTIFIED”Re-run through Comparator with the independent nanoda kernel switched on: Lean’s kernel and nanoda both accept OpenAI’s solution.10 October 2026Original report
Neal McBurnett, openai-math-lean-tooling“accepted”Re-run through Comparator with Lean’s kernel: accepted (the check took 658 s; peak memory 7.4 GiB).10 October 2026Original report

Planar Falconer distance theorem PlanarFalconer

Two reports, all at the release’s recorded version.

Reported byTheir wordTheir accountDateOriginal report
cert-machine“CERTIFIED”Re-run through Comparator with the independent nanoda kernel switched on: Lean’s kernel and nanoda both accept OpenAI’s solution.10 October 2026Original report
MathVet“comparator-sandboxed-pass”Re-run through Comparator in a sandboxed virtual machine: accepted.8 October 2026Original report

Other reports of proof verification

Other people’s accounts of running proof-verification software, with links to their reports.

  • CoolRmal, CoolRmal/falconer-all-dimensions: Comparator replay of the all-dimensional Falconer formalisation, 6 October 2026. Source

    Comparator accepted the extracted Falconer challenge on a Linux runner on 6 Oct 2026 (Actions run 37545204340).

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.

Papers elsewhere in the release that this family’s papers cite

Papers elsewhere in the release that cite this family’s papers

No paper elsewhere in the release cites 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.

Each button opens a GitHub form with this page and its source version filled in. Opening the form does not reserve the work.

Offer to write an explanationCompare one Lean statement with its paper: PlanarFalconer, FalconerAllDimensionsSuggest a source attributionSuggest a change

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 “Career-defining publication”. The page says that nothing on it is verified.

    Author not stated. Source

  • Moritz Firsching, anxkhn, Paul Lezeau, Formal Conjectures: mark problems solved in the OpenAI math release and link formal proofs, 11 October 2026. Source

    A Formal Conjectures maintainer, after source inspection, links the Falconer distance results for the plane and all dimensions.

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.

Read the Lean statement against the paper

  • An AI agent drafted an assessment of which part of the paper this Lean statement expresses. No named human review is recorded. Open the form
  • An AI agent drafted an assessment of which part of the paper this Lean statement expresses. No named human review is recorded. Open the form

Identify the theorem the catalogue describes

  • Family 073 No single paper statement clearly matches OpenAI’s description by wording, and no review identifying the intended theorem is recorded. Open the form

Compare the proposed paper and Lean matches

  • Family 073 Atlas records no review of whether each linked Lean statement and paper theorem mean the same thing. Open the form