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The optimal order of convex-body covering density

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

Determines the optimal worst-case covering density as \(\Theta(n\log n)\), for both lattice and unrestricted translative coverings. Every convex body in ℝn, n ≥ 2, admits a lattice covering of density at most \(Cn\log n\); centrally symmetric examples in every sufficiently large dimension require at least \(cn\log n\) even without the lattice restriction, for absolute \(c,C\gt 0\). (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

Theorem 1.1

In Translative covering densities of order n log n, 23 September 2026

Possible match to OpenAI’s description, selected from the papers’ main statements because it shares the most wording. No review confirming the selection is recorded.

There are absolute constants c>0 and n_0 such that, for every integer n\ge n_0, some centrally symmetric convex body K_n\subset\mathbb R^n satisfies

\theta_T(K_n)>c n\log n.

Theorem 1.1

In A single-lattice covering bound of order n log n, 23 September 2026

The paper’s main theorem is shown as a possible match to OpenAI’s description. No review confirming the selection is recorded.

There is an absolute constant C>0 such that, for every integer n\ge2 and every convex body K\subset\R^n, one full-rank lattice \Lambda satisfies

K+\Lambda=\R^n,\qquad \frac{\vol_n(K)}{\det\Lambda}\le Cn\log n.

No symmetry or boundary regularity is assumed.

The release does not say which paper theorem its catalogue describes. Both statements above are shown whole, the closer match to the description’s wording first. The atlas has not reviewed either choice.

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.

Translative covering densities of order n log n

23 September 2026, current edition.

Read it herePDF

For every sufficiently large dimension n, we construct a centrally symmetric convex body whose translative covering density exceeds \(c n\log n\), where c > 0 is absolute. This disproves the existence of a universal linear upper bound and matches the order of Rogers’ upper bound.

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.

SingleLatticeCovering

The paper states

Theorem 1.1

In A single-lattice covering bound of order n log n, 23 September 2026

There is an absolute constant C>0 such that, for every integer n\ge2 and every convex body K\subset\R^n, one full-rank lattice \Lambda satisfies

K+\Lambda=\R^n,\qquad \frac{\vol_n(K)}{\det\Lambda}\le Cn\log n.

No symmetry or boundary regularity is assumed.

The words they share: lattice, convex, integer, body, log, single, covering, regularity, cn, symmetry, boundary, assumed, rank, full, one, absolute, constant.

Possible Lean counterpart

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

Single-lattice covering bound

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

theorem single_lattice_covering :    ∃ C : ℝ, 0 < C ∧ ∀ (n : ℕ), 2 ≤ n →      ∀ (K : Set (Space n)), IsConvexBody K →        ∃ (L : Submodule ℤ (Space n)) (_ : DiscreteTopology L),          IsZLattice ℝ L ∧ LatticeCovers K L ∧            (volume K).toReal / ZLattice.covolume L ≤ C * (n : ℝ) * Real.log (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

CoveringDensity

The paper states

The words they share: symmetric, centrally, convex, integer, real, theta, body, absolute, constants, log, translative, densities, covering, order.

Possible Lean counterpart

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

Optimal order for translative and lattice covering-density suprema

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

def OptimalOrder : Prop :=  ∃ c C : ℝ, 0 < c ∧ 0 < C ∧ ∃ n₀ : ℕ, ∀ n : ℕ, n₀ ≤ n →    orderBounds c C n (translativeSup n) ∧    orderBounds c C n (symmetricTranslativeSup n) ∧    orderBounds c C n (latticeSup n) ∧    orderBounds c C n (symmetricLatticeSup n)theorem CoveringOrder.optimal_order : CoveringOrder.OptimalOrder := 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.

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 lower bound for centrally symmetric bodies is stated for the translative supremum too (hence for the lattice one).

Definitions the group asks readers to compare with the paper: Hand-rolled density notions: euclideanVolume (pushforward of product Lebesgue measure), euclideanCovolume, thetaL, thetaT with upperCenterIntensity := limsup #(X ∩ cube R) / (2R)^n; standard in form

“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 formalized result gives an absolute constant $C>0$ such that every convex body $K\subset\mathbb R^n$, $n\ge2$, admits a covering by translates along one full-rank lattice $L$ with density $|K|/\mathrm{covol}(L)\le Cn\log n$. The covering is exact, and no symmetry, boundary regularity, or volume normalization is assumed.

The formalization determines the order of the largest covering density in dimension $n$. For all sufficiently large $n$, the suprema of translative covering density and lattice covering density are each bounded above and below by absolute positive multiples of $n\log n$, both over all convex bodies and over centrally symmetric convex bodies.

AI-drafted comparisons, with no recorded human review

  • Single-lattice covering bound SingleLatticeCovering

    Unreviewed AI draft: states a paper’s theorem as the paper does. States the main theorem: every convex body in dimension n ≥ 2 is covered by translates along one lattice with density at most Cn log n.

  • Optimal order for translative and lattice covering-density suprema CoveringDensity

    Unreviewed AI draft: states a paper’s theorem as the paper does. States matching upper and lower bounds of order n log n for the translative and lattice covering-density suprema, over all and over centrally symmetric bodies. Its lower bound contains the main theorem of the translative paper.

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.

Single-lattice covering bound SingleLatticeCovering

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 227 s; peak memory 6.6 GiB).11 October 2026Original report

Optimal order for translative and lattice covering-density suprema CoveringDensity

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

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.

Within this family

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.

Follow-up work by others

  • Hexagon, Hexagon: a repository for research in the mathematical sciences and theoretical computer science, 8 October 2026. Source

    hexagon:2610.00165v1 (Scott Kominers) constructs multi-coverings by lattice translates building on OpenAI’s horizontal-vertical covering construction; the family is probably 092 (convex-body covering density) but the abstract does not give an id.

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: SingleLatticeCovering, CoveringDensitySuggest 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 “Major math journal”. 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 092 The theorem shown was selected from shared wording with OpenAI’s description. Atlas records no review confirming that it is the theorem the description means. Open the form

Address a question raised in an independent assessment

Compare the proposed paper and Lean matches

  • Family 092 Atlas records no review of whether each linked Lean statement and paper theorem mean the same thing. Open the form