aiqbench analysis
This paper advances the lower bound on distinct zeros of the Riemann zeta function to over 83.69%, utilizing a novel matrix inequality and formal proofs in Lean 4. The work explicitly frames itself as an experiment in AI-assisted mathematical research, demonstrating how machine learning tools can verify complex arithmetic computations in number theory.
More than 83.69% of the zeros of the Riemann zeta function are distinct
arXiv:2609.33043v1 Announce Type: cross Abstract: The lower asymptotic proportion of distinct nontrivial zeros of the Riemann zeta function, counted with multiplicity, is at least $0.8369928814\ldots$. The previous bound was $0.83625\ldots$. As in the proof of that bound, an unconditional version of Montgomery's pair-correlation theorem gives an asymptotic energy estimate. The new ingredient is a short matrix inequality with a free clipping parameter. It strengthens the lower bound for this energy in terms of the number of distinct zeros. The gain is a nonnegative correction from overlaps between different nearby zeros on the critical line, which is retained even when some of these zeros are double. The matrix inequality, the threshold lemma, the block dichotomy, the counting assembly and the exact arithmetic are proved formally in Lean 4. The constant relies on a computer-assisted local inequality from recent work that has not yet been refereed. That computation was re-run independently, and every imported input is listed. This paper is primarily an experiment in AI-assisted mathematical research (Section 4).
Title:More than 83.69% of the zeros of the Riemann zeta function are distinct
Abstract:The lower asymptotic proportion of distinct nontrivial zeros of the Riemann zeta function, counted with multiplicity, is at least $0.8369928814\ldots$. The previous bound was $0.83625\ldots$. As in the proof of that bound, an unconditional version of Montgomery's pair-correlation theorem gives an asymptotic energy estimate. The new ingredient is a short matrix inequality with a free clipping parameter. It strengthens the lower bound for this energy in terms of the number of distinct zeros. The gain is a nonnegative correction from overlaps between different nearby zeros on the critical line, which is retained even when some of these zeros are double. The matrix inequality, the threshold lemma, the block dichotomy, the counting assembly and the exact arithmetic are proved formally in Lean 4. The constant relies on a computer-assisted local inequality from recent work that has not yet been refereed. That computation was re-run independently, and every imported input is listed. This paper is primarily an experiment in AI-assisted mathematical research (Section 4).
Number Theory (math.NT); Artificial Intelligence (cs.AI); Logic in Computer Science (cs.LO)
arXiv:2609.33043 [math.NT]
(or arXiv:2609.33043v1 [math.NT] for this version)
https://doi.org/10.48550/arXiv.2609.33043 Focus to learn more arXiv-issued DOI via DataCite (pending registration)
lean/CheckAxioms.lean
lean/MixedGram.lean
lean/MixedGram/Basic.lean
lean/MixedGram/Counting.lean
lean/MixedGram/Threshold.lean
lean/axioms_output.txt
lean/lake-manifest.json
lean/lakefile.toml
replay/README.md
replay/aggregate.json
replay/manifest.json
replay/replay_driver.py
replay/shard-000.json
replay/shard-001.json
replay/shard-002.json
replay/shard-003.json
replay/shard-004.json
replay/shard-005.json
replay/shard-006.json
replay/shard-007.json
replay/shard-008.json
replay/shard-009.json
replay/shard-010.json
replay/shard-011.json
replay/shard-012.json
replay/shard-013.json
replay/shard-014.json
replay/shard-015.json
replay/shard-016.json
replay/shard-017.json
replay/shard-018.json
replay/shard-019.json
replay/shard-020.json
replay/shard-021.json
replay/shard-022.json
replay/shard-023.json
replay/shard-024.json
replay/shard-025.json
replay/shard-026.json
replay/shard-027.json
replay/shard-028.json
replay/shard-029.json
replay/shard-030.json
replay/shard-031.json
replay/shard-032.json
replay/shard-033.json
replay/shard-034.json
replay/shard-035.json
replay/shard-036.json
replay/shard-037.json
replay/shard-038.json
replay/shard-039.json
replay/shard-040.json
replay/shard-041.json
replay/shard-042.json
replay/shard-043.json
replay/shard-044.json
replay/shard-045.json
replay/shard-046.json
replay/shard-047.json
replay/shard-048.json
replay/shard-049.json
replay/shard-050.json
replay/shard-051.json
replay/shard-052.json
replay/shard-053.json
replay/shard-054.json
replay/shard-055.json
replay/shard-056.json
replay/shard-057.json
replay/shard-058.json
replay/shard-059.json
replay/shard-060.json
replay/shard-061.json
replay/shard-062.json
replay/shard-063.json
replay/shard-064.json
replay/shard-065.json
replay/shard-066.json
replay/shard-067.json
replay/shard-068.json
replay/shard-069.json
replay/shard-070.json
replay/shard-071.json
replay/shard-072.json
replay/shard-073.json
replay/shard-074.json
replay/shard-075.json
replay/shard-076.json
replay/shard-077.json
replay/shard-078.json
replay/shard-079.json
replay/shard-080.json
replay/shard-081.json
replay/shard-082.json
replay/shard-083.json
replay/shard-084.json
replay/shard-085.json
replay/shard-086.json
replay/shard-087.json
replay/shard-088.json
replay/shard-089.json
replay/shard-090.json
replay/shard-091.json
replay/shard-092.json
replay/shard-093.json
replay/shard-094.json
replay/shard-095.json
replay/tables.json
(106 additional files not shown) You must enabled JavaScript to view entire file list.
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website.
Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them.
Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.
Full text under the publisher's open licence · 400 words
Related coverage
From Ordered Bernoulli Levels to Critical-Line Geometry: Integer Quantization, Bernoulli Residual Phase, and Prime-Power Spectra
arXiv · Sep 4, 2026

Гипотеза Римана оказалась законом физики : как математика 165 лет назад предугадала динамические фазовые переходы в квантовых системах / Наука и космос / iXBT Live
ixbt.com · Jul 31, 2026
Eigenvalue-by-Eigenvalue Comparison of a Sierra--Rodr\'iguez-Laguna-Type Spectrum with the Riemann Zeros
arXiv · Sep 22, 2026

Hilbert–Pólya Finds Missing Eigenstates in BBM Hamiltonian’s Metric Completion
Quantum Zeitgeist · Aug 13, 2026