mlsanityData to 14 Oct 2026

Piercing Gilbreath's Conjecture: From Deep Number Theory Insights to Fintech and Cybersecurity

arXiv 2607.04166 ↗First posted 5 Jul 2026cs.CR cs.AIcited by 0

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Abstract (arXiv)

I propose a new methodology to attack the fascinating Gilbreath's conjecture about prime numbers, first posted in 1878 and unsolved to this day. The problem statement is rudimentary: kids can understand it. However, despite decades of research, almost no progress has been made. This paper changes the game by presenting a new approach based on sieving, a number of new results with proof, a precise path to the solution, and solid references. It also introduces the concept of reverse sieving, along with applications to testing randomness, pattern and fraud detection, cybersecurity, synthetic data, sequence categorization and normalization, or to detect and quantify a new type of chaos in time series including Brownian motions. Magic primes, forbidden prime number constellations, cellular automata, and reduction via classes of equivalent sequences, are some of the innovative and promising topics discussed in the paper.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 3 of its 32 references that are in the map. First posted on arXiv 5 Jul 2026.

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3 of 32 references.

References · 3

  1. 2018Scrambled Linear Pseudorandom Number Generatorscited by 12
  2. 2026Generation of Multivariate Discrete Data with Generalized Poisson, Negative Binomial and Binomial Marginal Distributionscited by 1
  3. 2026LLMs Without Deep Neural Networks: New Architecture, Benefits and Case Studycited by 1

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