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A cubic permanent–determinant lower bound

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

Proves an \(\Omega(n^3)\) lower bound for the border determinantal complexity of the \(n\times n\) permanent over ℂ. Even coefficientwise limits of determinants of affine-linear matrices require matrix size at least \(cn^3\), for an absolute c > 0 and all sufficiently large n; the same bound therefore holds for exact representations. (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.

A cubic lower bound for border determinantal complexity of the permanent

24 September 2026, current edition.

Read it herePDF

We prove that the complex border determinantal complexity of the \(m\times m\) permanent is \(\Omega(m^3)\), allowing arbitrary affine-linear determinant representations and coefficientwise limits. It also gives cubic lower bounds for exact determinantal complexity and for the numbers of vertices and edges in affine-linear algebraic branching programs, including coefficientwise limits with a fixed vertex or edge budget.

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.

PermanentCubic

The paper states

The words they share: integer, cubic, border, lower, permanent, bound.

Possible Lean counterpart

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

Cubic lower bounds for permanent determinantal complexity

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

theorem permanent_cubic_lower_bounds :    (∀ (m n : ℕ), 1408 ≤ m → HasBorderDeterminant n (permanentPolynomial m) →      (m : ℝ)^3 / (5529600 * Real.exp 1) ≤ (n : ℝ)) ∧    (∀ (m n : ℕ), 1408 ≤ m → HasExactDeterminant n (permanentPolynomial m) →      (m : ℝ)^3 / (5529600 * Real.exp 1) ≤ (n : 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.

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

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

Read the complete Lean statement

SmoothInitialForm

The paper states

No paper theorem is paired with this Lean statement.

no paper statement matches the Lean text clearly enough to pair, so the closest candidates are listed below.

Statements it shares words with:

  • Corollary 9.3 (Smooth initial form) in A cubic lower bound for border determinantal complexity of the permanent, 24 September 2026.
  • Theorem 2.3 (Lower bound for smooth homogeneous forms) in A cubic lower bound for border determinantal complexity of the permanent, 24 September 2026.
  • Proposition 3.1 (Coefficient projection) in A cubic lower bound for border determinantal complexity of the permanent, 24 September 2026.
  • Proposition 7.3 (A smooth form obtained from the permanent) in A cubic lower bound for border determinantal complexity of the permanent, 24 September 2026.
  • Proposition 7.2 (Smooth linear section) in A cubic lower bound for border determinantal complexity of the permanent, 24 September 2026.
  • Theorem 1.1 in A cubic lower bound for border determinantal complexity of the permanent, 24 September 2026.
  • Proposition 8.3 in A cubic lower bound for border determinantal complexity of the permanent, 24 September 2026.
  • Proposition 6.5 (Dimension of a matrix fiber) in A cubic lower bound for border determinantal complexity of the permanent, 24 September 2026.

The Lean statement

No paper theorem is paired with it.

Determinantal lower bound from a smooth initial form

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

theorem smooth_initial_form_lower_bound (d r : ℕ) (g : Poly (Fin d))    (a : Fin d → ℂ) (hd : 2 ≤ d) (hr : 2 ≤ r)    (hG : homogeneousComponent r      (affineSubstitution a (fun i j : Fin d => if i = j then 1 else 0) g) ≠ 0)    (hlow : ∀ j < r, homogeneousComponent j      (affineSubstitution a (fun i j : Fin d => if i = j then 1 else 0) g) = 0)    (hs : ∀ y : Fin d → ℂ,      eval y (homogeneousComponent r        (affineSubstitution a (fun i j : Fin d => if i = j then 1 else 0) g)) = 0 →      (∀ i, eval y (pderiv i (homogeneousComponent r        (affineSubstitution a (fun i j : Fin d => if i = j then 1 else 0) g))) = 0) →      y = 0) :    ∀ n : ℕ,      (HasBorderDeterminant n g →        ((r - 1 : ℕ) : ℝ) * ((d - 1 : ℕ) : ℝ) / (4 * Real.exp 1) ≤ (n : ℝ)) ∧      (HasExactDeterminant n g →

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.

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

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

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.

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; the algebraic-branching-program consequences are not stated (docs). Border complexity is encoded as sequential coefficientwise limits (equivalent to Zariski closure here).

“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 a cubic lower bound for both exact and border determinantal representations of the complex $m\times m$ permanent. For $m\ge1408$, every affine-linear determinant representation of size $n$, including coefficientwise limits, satisfies $n\ge m^3/(5529600e)$.

A general supporting theorem applies to a polynomial in $d\ge2$ variables whose first nonzero homogeneous Taylor term has degree $r\ge2$ and no nonzero singular zero. Its exact and border determinantal sizes are at least $(r-1)(d-1)/(4e)$. The paper’s algebraic-branching-program consequences are outside these statements.

AI-drafted comparisons, with no recorded human review

  • Cubic lower bounds for permanent determinantal complexity PermanentCubic

    Unreviewed AI draft: states a paper’s theorem as the paper does. States the main theorem with its explicit constants: for m ≥ 1408, every exact or border determinantal representation of the m × m permanent has size at least m³/(5529600e).

  • Determinantal lower bound from a smooth initial form SmoothInitialForm

    Unreviewed AI draft: states a supporting result. States the general supporting theorem behind the permanent bound: determinantal size at least (r − 1)(d − 1)/(4e) for a polynomial whose initial form has degree r and no nonzero singular zero.

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.

Cubic lower bounds for permanent determinantal complexity PermanentCubic

Three 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
Neal McBurnett, openai-math-lean-tooling“accepted”Re-run through Comparator with Lean’s kernel: accepted (the check took 476 s; peak memory 6.6 GiB).11 October 2026Original report

Determinantal lower bound from a smooth initial form SmoothInitialForm

Three 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
Neal McBurnett, openai-math-lean-tooling“accepted”Re-run through Comparator with Lean’s kernel: accepted (the check took 186 s; peak memory 6.4 GiB).10 October 2026Original report

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

This family’s papers cite no paper elsewhere in the release.

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: PermanentCubic, SmoothInitialFormSuggest 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

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 108 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 108 Atlas records no review of whether each linked Lean statement and paper theorem mean the same thing. Open the form