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Mathematics / Number Theory

On the Duffin-Schaeffer conjecture

Author names withheld — follow the preprint link below for the original work and its full attribution.

Preprint license: arXiv.org perpetual, non-exclusive license

Pre-generated example — not run live. PsiPi had no role in this paper's real review or outcome; author names and the source abstract are withheld, and this shows only what our AI pipeline says about the publicly posted preprint linked above.

Editorial screening (would proceed)

Dear Authors, I have completed the initial screening of your manuscript. The work addresses a long-standing and fundamental problem in metric number theory, providing a definitive resolution to the Duffin-Schaeffer conjecture. Given the significance of this result and the depth of the methods employed, the manuscript is well-suited for consideration in this venue. This screening assessment was made by a language model and is not a real editorial decision. The manuscript will now proceed to the full peer-review process. Sincerely, Handling Editor, PsiPi

Editor's synthesis & decision

Accept
Dear Authors, Your manuscript providing a proof of the Duffin-Schaeffer conjecture has been reviewed by three independent experts in the field. All reviewers are in complete agreement that your work represents a landmark achievement in metric number theory, successfully resolving a problem that has remained open for nearly eighty years. The reviewers praised the introduction of 'GCD graphs' and the iterative 'compression' argument as highly innovative and powerful methodological contributions that are likely to influence future research in Diophantine approximation. While the reviewers unanimously recommend acceptance, they have provided constructive feedback to enhance the clarity and accessibility of your dense technical arguments. Reviewers 1, 2, and 3 all noted the significant cognitive load imposed by the complexity of the proof and suggested that additional narrative signposting would greatly assist the reader. Specifically, providing more intuition regarding the 'quality' function and the role of the ϕ(q)/q weights, as well as adding brief roadmap summaries at the start of major technical sections, will help ensure that the structural logic remains clear throughout the paper. We are pleased to accept your manuscript for publication in the Annals of Mathematics. Please address the minor clarifications requested by the reviewers, particularly those concerning the motivation for the 'quality' function and the explicit linking of the 'Model Problem' to the formal iteration, before submitting your final files. Please note that these reviews and this synthesis were generated by language models and do not constitute real peer review or an editorial decision with any standing. Sincerely, Chief Editor, PsiPi

Revision requests

  • Provide a more explicit discussion in Section 3 and Section 6 regarding why the specific 'quality' function is the correct quantity to track for the convergence of the iteration.
  • Add brief 'roadmap' paragraphs at the start of major sections (e.g., Section 8, 12, 13) that explicitly state the section's goal and its role in the overall proof of Theorem 1.
  • Expand slightly on the connection between the failure of the 'Model Problem' and the specific structure of the ϕ(q)/q weights to provide deeper intuition for the reader.
  • Include a brief remark on the optimality of the exponent 31/30 in the definition of the quality function in Proposition 7.1.

Where this could be published

At its current quality

Leading mathematics journals

  • Annals of Mathematics
  • Journal of the American Mathematical Society
  • Inventiones mathematicae

Then you could realistically aim for

Leading mathematics journals

  • Annals of Mathematics
  • Journal of the American Mathematical Society
  • Inventiones mathematicae

This work is already at the highest level of mathematical research and is appropriately placed in the most selective venues. The requested revisions are intended to improve readability and pedagogical value rather than to alter the fundamental contribution, which is already at its ceiling. Please ensure that you perform a final literature search to confirm that no recent developments have superseded any part of your argument.

edited by model: gemini-flash-lite-latest

Reviewer comments — reproduced in full, unabridged

Reviewer 1

gemini-flash-lite-latest

This manuscript provides a landmark proof of the long-standing Duffin-Schaeffer conjecture in metric number theory, a problem that has remained open since 1941. The authors employ a sophisticated combination of graph-theoretic methods, specifically a 'compression' argument within a bipartite graph framework, to establish the necessary approximate independence of the sets of rational approximations. The technical achievement is profound, successfully navigating the limitations of previous approaches that relied on regularity conditions on the approximation function. The paper is exceptionally well-structured, clearly outlining the reduction of the problem to a second-moment bound and subsequently to a series of iterative propositions on 'GCD graphs'. This is a definitive, high-impact result that will be recognized as a major contribution to the field of Diophantine approximation.

Strengths

  • The proof successfully resolves the Duffin-Schaeffer conjecture, a major open problem in number theory that has resisted solution for nearly 80 years.
  • The introduction of 'GCD graphs' and the associated iterative 'compression' argument provides a powerful and novel framework for handling the dependence issues in metric Diophantine approximation.
  • The manuscript is exceptionally well-written, with a clear logical flow that guides the reader through a highly complex proof, including helpful dependency diagrams for the various propositions and lemmas.
  • The authors provide a rigorous and complete deduction of Catlin's conjecture as a corollary, demonstrating the strength and utility of their main result.

Weaknesses

  • The proof is extremely dense and relies on a large number of interconnected technical lemmas, which makes it challenging for a non-specialist to verify the details without significant effort.
  • The reliance on the 'anatomy of integers' and specific bounds on multiplicative functions necessitates a high level of familiarity with the literature in analytic number theory.
  • The 'compression' argument, while elegant, involves a complex definition of 'quality' that is not immediately intuitive, requiring the reader to carefully track the definitions in Section 6.

Detailed comments

The authors state in Section 3 that 'the key problem is to win back a little bit more than the x^{o(1)} factor from the divisor bound.' This is a crucial insight, but the transition from the 'Model Problem' to the actual iterative procedure is quite abrupt. It would be beneficial for the authors to provide more intuition on why the specific 'quality' function defined in Definition 6.2 is the correct quantity to track. While the authors mention that 'the ϕ(q)/q weights are vital for our argument to work,' a more explicit discussion of how these weights specifically interact with the 'compression' argument to prevent the failure seen in the counterexample to the Model Problem would significantly improve the reader's understanding of the proof's mechanics.

The dependency structure of the proof, as illustrated in the diagrams in Section 4, is very helpful. However, the sheer number of propositions and lemmas, such as 'Propositions 8.1-8.3 and Lemmas 8.4-8.5,' creates a high barrier to entry. The authors could further assist the reader by providing a brief 'roadmap' paragraph at the beginning of Section 8 that explains the high-level strategy for each of these five components, rather than just listing them. For example, explicitly stating which components handle the 'large prime' case versus the 'small prime' case would help the reader maintain the narrative thread through the technical sections.

Referee report rubric — reproduced exactly as submitted

Quality of experimental data, technical rigorTop 10%
Significance to researchers in this and related fieldsTop 10%
Broad interest to other researchersTop 25%
NoveltyExceptional
Suitable for media coverage or a "First Reactions" piece?Yes
Recommendationaccept
Reviewer's self-reported confidence5/5

Reviewer 2

gemini-3.1-flash-lite

This manuscript provides a definitive proof of the long-standing Duffin-Schaeffer conjecture, a fundamental problem in metric number theory that has remained open for nearly eighty years. The authors introduce a sophisticated graph-theoretic approach, framing the problem in terms of 'GCD graphs' and employing a novel iterative 'compression' argument to establish the necessary second-moment bounds. The proof is a tour de force of analytic number theory, combining deep structural insights into the anatomy of integers with a delicate iterative procedure. The work is of the highest caliber, resolving a major conjecture with a technique that is likely to have significant impact on future developments in the field. The presentation is exceptionally clear, and the logical structure is robust, making this a landmark contribution to the literature.

Strengths

  • The resolution of the Duffin-Schaeffer conjecture is a major achievement that will be recognized as a classic result in number theory.
  • The introduction of 'GCD graphs' and the associated 'compression' argument provides a powerful and innovative framework for tackling problems in metric Diophantine approximation.
  • The manuscript is remarkably well-written, with a clear and logical progression of ideas that makes a highly technical proof accessible to experts in the field.
  • The authors provide a thorough and honest account of the technical difficulties, including a clear explanation of why the weight ϕ(q)/q is essential to their argument.

Weaknesses

  • The proof is extremely dense and requires a high level of expertise in analytic number theory to fully appreciate the technical nuances.
  • The reliance on a large number of auxiliary lemmas, while necessary for the structure of the proof, makes it challenging to verify the argument in its entirety without significant effort.
  • The discussion of the 'Model Problem' in Section 3, while helpful for intuition, is somewhat separated from the formal proof, which could lead to confusion about the necessity of certain steps.

Detailed comments

The authors state in Section 3 that 'the key to the proof is to show that P(q, r) ≪ 1 on average over q, r ∈ S'. This is a crucial insight, and the subsequent reduction to the 'Model Problem' is well-motivated. However, the transition from the Model Problem to the formal iterative procedure in Section 8 is quite abrupt. It would be beneficial if the authors could provide more explicit commentary on why the 'quality' function defined in Definition 6.6 is the correct quantity to track, as it is not immediately obvious why this specific combination of terms is sufficient to guarantee the convergence of the iteration.

The treatment of the 'small primes' in Section 13 is a masterclass in handling technical obstructions. The authors note that 'the p-adic valuation is exactly k' for the set V_p^k, and the careful management of these sets is what prevents the iteration from collapsing. The use of Lemma 10.1 to ensure that all vertices have high degree is a clever way to maintain the structural integrity of the graph throughout the iteration. I found the explanation of the 'clean-up' step in Section 3 to be particularly helpful in understanding the overall strategy, and I would encourage the authors to ensure that this is clearly linked to the formal definitions in Section 6.

Referee report rubric — reproduced exactly as submitted

Quality of experimental data, technical rigorTop 10%
Significance to researchers in this and related fieldsTop 10%
Broad interest to other researchersTop 10%
NoveltyExceptional
Suitable for media coverage or a "First Reactions" piece?Yes
Recommendationaccept
Reviewer's self-reported confidence5/5

Reviewer 3

gemini-flash-lite-latest

This manuscript provides a landmark proof of the Duffin-Schaeffer conjecture, a long-standing problem in metric number theory. The authors employ a sophisticated iterative 'compression' argument, combined with a second-moment method and tools from the anatomy of integers, to establish that the set of well-approximable real numbers has full Lebesgue measure under the expected divergence condition. The proof is a tour-de-force of modern analytic number theory, successfully resolving a problem that has remained open for nearly eighty years. The paper is exceptionally well-structured, clearly delineating the reduction to technical iterative statements about 'GCD graphs' and providing a detailed roadmap for the reader. Given the fundamental nature of the result and the elegance of the proof, it is highly appropriate for the target journal.

Strengths

  • The paper provides a complete, rigorous, and long-awaited proof of the Duffin-Schaeffer conjecture.
  • The introduction of 'GCD graphs' and the associated iterative compression argument is a highly original and powerful methodological innovation.
  • The manuscript is written with exceptional clarity, especially given the technical complexity of the proof.
  • The logical flow from the second moment bound to the iterative graph-theoretic statements is transparent and well-motivated.

Weaknesses

  • The reliance on a large number of technical lemmas and iterative propositions makes the paper dense and challenging to verify in its entirety.
  • The proof of Proposition 8.2 is particularly delicate and requires careful checking of the constants and conditions on the prime set.
  • The discussion of the Model Problem in Section 3, while helpful for intuition, could be more explicitly linked to the specific failure modes of the iteration without the ϕ(q)/q weights.

Detailed comments

The authors state in Section 3 that 'the ϕ(q)/q weights are vital for our argument to work'. While they provide a brief discussion and a reference to counterexamples in Section 15, it would be beneficial to expand slightly on why the 'Model Problem' fails specifically for the measure μ(v) = ψ(v)ϕ(v)/v compared to a uniform measure. A more explicit connection between the failure of the Model Problem and the specific structure of the weights would deepen the reader's understanding of why this specific measure is the 'natural' one for the conjecture.

In the proof of Proposition 7.1, the authors define the quality q(G) using a product over primes in P, specifically '∏ p ∈P p | f ( p ) − g ( p ) | (1 − 1 f ( p )= g ( p ) > 1 /p ) 2 (1 − 1 /p 31 / 30 ) 10'. The justification for the inclusion of the (1 − 1/p^31/30)^10 factor is described as being 'included merely for convenience'. While this is acceptable, a brief remark on whether the exponent 31/30 is optimal or if any value greater than 1 would suffice would be helpful for specialists who might wish to adapt this method to other problems.

The dependency diagrams provided in Section 4 are an excellent feature and significantly aid in navigating the paper's complex structure. However, the authors note that 'All propositions are proven in sections later than they appear.' This is standard, but the sheer volume of dependencies makes it easy for a reader to lose track of the global strategy. I recommend that the authors add a brief sentence at the start of each major section (e.g., Section 12, 13, 14) explicitly restating the goal of that section in the context of the overall proof of Theorem 1.

Referee report rubric — reproduced exactly as submitted

Quality of experimental data, technical rigorTop 10%
Significance to researchers in this and related fieldsTop 10%
Broad interest to other researchersTop 25%
NoveltyExceptional
Suitable for media coverage or a "First Reactions" piece?Yes
Recommendationaccept
Reviewer's self-reported confidence5/5

This document was generated by PsiPi, an AI-assisted manuscript review tool. It is not a product of real peer review, was not issued by any journal, and creates no publication record. The reviews and editorial synthesis above were written by large language models and may contain errors, omissions, or hallucinated claims — treat them as a starting point for revision, not as an authoritative expert assessment.