OpenAI groups related papers into a “family”. OpenAI’s catalogue describes this one:
For every fixed C > 0, a positive proportion of consecutive prime gaps exceed \(C\log p_n\), throughout every sufficiently large initial segment of the primes. The proportion may depend on C. Consequently, the indices where \(p_n/n\) increases have positive lower density, answering Erdős and Prachar. (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
The release does not say which paper theorem its catalogue describes. Both statements above are shown whole: the paper’s main theorem first, then the statement that shares the most wording with the description. The atlas has not reviewed either choice.
Reported proof verification
One Lean statement in the release; two independent groups report that Comparator accepted runs for this file at the version shown here.
For every fixed C > 0, we prove that a positive proportion of consecutive prime gaps exceed \(C\log p\), where p is the smaller prime. The proportion is bounded below for every sufficiently large initial segment of the prime sequence, with a constant depending on C. It follows that the indices at which \(p_n/n\) increases have positive lower asymptotic density, answering a question of Erdős and Prachar.
One Lean statement in this family
Lean is a language for mathematical statements and proofs that a computer can verify. The Lean statement below is shown beside its possible paper counterpart, with the reason they were linked.
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.
PrimeGaps
The paper states
It is paired with Theorem 1.1 and Corollary 1.2, each shown below.
The words it shares with Theorem 1.1: log, real, integer, large, gaps, prime, density, lower; with Corollary 1.2: asymptotic, density, lower, positive.
Possible Lean counterpart
Selected from shared wording. No review of whether the statements mean the same thing is recorded.
PrimeGaps.lean, the release lists it as a supporting statement.
theoremlarge_gaps_and_ratio_density : (∀ C : ℝ, 0 < C → ∃ c : ℝ, 0 < c ∧ ∃ N₀ : ℕ, ∀ N : ℕ, N₀ ≤ N → c * (N : ℝ) ≤ ((LargePrimeGaps.largeGapIndices C N).card : ℝ)) ∧0 < lowerAsymptoticDensity ratioIncreaseIndices := bysorry
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.
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; challenge states the large-gap theorem and the ratio corollary. Lower density is a custom sSup-defined liminf (checked).
Definitions the group asks readers to compare with the paper:def lowerAsymptoticDensity (A : Set ℕ) : ℝ := sSup {d : ℝ | ∃ N0 : ℕ, ∀ N : ℕ, N0 ≤ N → d ≤ (initialCount A N : ℝ) / (N : ℝ)} (custom liminf-style density; correct since the set is nonempty and bounded by 1)
“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.
The formalized supplement proves that the indices $n$ for which $p_n/n<p_{n+1}/(n+1)$ have positive lower asymptotic density, where $p_n$ is the $n$th prime. Thus the normalized prime sequence has a positive-density set of increases. This is the prime-ratio corollary associated with the paper’s theorem on a positive lower density of large prime gaps.
AI-drafted comparisons, with no recorded human review
Positive lower density of prime-ratio increasesPrimeGaps
Unreviewed AI draft: states a paper’s theorem as the paper does. The statement’s first conjunct is the main theorem (for every C > 0, a positive proportion of n ≤ N have p_{n+1} − p_n > C log p_n) and its second is the prime-ratio corollary. The scope note describes only the corollary.
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.
Positive lower density of prime-ratio increasesPrimeGaps
Two reports, all at the release’s recorded version.
Reported by
Their word
Their account
Date
Original 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.
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.
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 “Solid publication, could lead to tenure”. The page says that nothing on it is verified.
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 large prime gaps result to Erdos problem 968.
Thomas Bloom, Erdős problems in the OpenAI proofs, 8 October 2026. Source
Bloom lists Erdős 968 (a prime gap density question), notes it follows from a stronger large gaps result using sieve tools of Goldston, Pintz and Yildirim and Maynard and Tao, and links the formalisation.
eigendash, eigendash/openai-math-visualised: numerical probes of seven result families, 8 October 2026. Source
For primes up to 2 times 10^8, the proportion of gaps exceeding C log p is about 0.60, 0.34 and 0.11 at C = 0.5, 1 and 2, positive as the theorem predicts for every fixed C.
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
Identify the theorem the catalogue describes
Family 026The 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
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. Its protocol describes a planned error-rate study; this import does not establish that the study has been completed.
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; 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…
Re-run through Comparator in a sandboxed virtual machine: accepted.
Date
8 October 2026
Version
at the release’s recorded version
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.