An Improved Subexponential Bound for Deterministic Integer Factorization
Version 1 / Nov 02, 2026 / CC BY 4.0
Abstract
We prove that the complete prime factorization of an -bit integer can be computed deterministically in time and polynomial space. This establishes the bound conjectured by Rudich and Rousseau, sharpening their qualitative result. The proof combines OpenAI's quantitative Boolean tensor-contraction theorem with the linear-size multiplication encoding of Akshima et al. The encoding permits exact counting of divisors with prescribed binary prefixes without loss in the exponent. The least prime factor is then recovered by successive prefix queries, and iteration yields the complete factorization within the same asymptotic bound.
Provenance statement
Tools used
- OpenAI
- ChatGPTVersion 6
References
- Akshima, R. Bacho, Y.-H. Huang, E. Kiltz, A. Nishaburi, S. Nooripoor, N. Tittelbach, and E. Wiedijk, A Subexponential Time Algorithm for Elliptic Curve Discrete Logarithm , preprint, version 0.2, October 29, 2026. https://github.com/bochum-crypto/subexponential-ecdl.link
- OpenAI, The Exponential Time Hypothesis is False , preprint, October 17, 2026; revised October 25, 2026. https://github.com/openai/math/blob/main/preprints/The-Exponential-Time-Hypothesis-is-False-October-25-2026/paper.pdf.link
- I. Rudich and L.-M. Rousseau, Deterministic Factoring in Time , Hexagon preprint 2610.00600, version 1, October 2026. https://hexagonmath.org/2610.00600v1.hexagon
Version history
- v1 · 4 pagesSubmitted by Joseph ShuniaInitial depositCurrentOct 31, 2026