Skip to content

allen-proxmire/factor-skyline

Repository files navigation

Factor Skyline

DOI


EXPDB Binding Constraint Analysis (2026)

Binding Constraints After Guth-Maynard: A Structural Analysis of the EXPDB Pipeline

A computational analysis of the Analytic Number Theory Exponent Database (EXPDB) pipeline after the Guth-Maynard (2024) large value estimate. We ran the full pipeline (482 hypotheses, scipy-based polytope backend), identified the binding constraints, and performed a complete sensitivity analysis.

Key results:

  • The GM result creates a cusp at sigma = 7/10 where Ingham (1940) and GM (2024) meet at A = 30/13, determining theta_PNTALL = 17/30
  • Sensitivity: d(theta)/d(||A||) = 169/900. The attack surface is narrow: an epsilon-improvement needs to hold on an interval of width ~0.006 around sigma = 0.70
  • The bottleneck is purely in A(sigma) for theta_PNTALL; the energy exponent A*(sigma) only enters at the GAPSQUARE level
  • Pipeline completeness verified: no unexploited transformation chain changes the binding value
  • Succession landscape: after the cusp, the next bottlenecks migrate rightward through Ivic (2003), Ivic (1980), TTY (2024), and onward to the Density Hypothesis
A(sigma) envelope Sensitivity heat map
Zero-density envelope with binding constraints Sensitivity cone at the cusp

Full paper, figures, and code: PAPERS/EXPDB-Analysis/

Companion papers:


Factor Skyline: Multiplicative Structure of the Integers

The Factor Skyline is a geometric architecture for the integers in which each integer n is represented as a column of width lpf(n) (least prime factor) and height n/lpf(n). The resulting two-dimensional landscape is governed by five emergent concepts (width, height, activation, coverage, and escape), all deriving from the single primitive function lpf. The project develops the Factor Skyline as a unified architectural, statistical, dynamical, and meta-mathematical theory of multiplicative number theory.

The Factor Skyline is one instance of Architectural Distillation (AD), a general methodology for extracting structure from systems composed of interacting mechanisms.

The Four Papers

Part Title Theorems
I Architectural Foundation 22
II Correlations and Randomness 14
III Information, Dynamics, and Universality 17
IV Meta-Structure 13

Repository Structure

Directory Purpose
PAPERS/EXPDB-Analysis/ EXPDB binding constraint analysis after Guth-Maynard (2024). Papers, figures, pipeline report.
PAPERS/EXPBD-Skyline/ EXPDB-Skyline polyhedral reinterpretation paper.
compute/ Pipeline code, gap test harness, plotting scripts, and the EXPDB clone with scipy cdd replacement.
monograph/ The unified four-part Factor Skyline monograph.
PAPERS/ All standalone papers (FS Parts I-IV, EXPDB analyses, evaluations).
modules/ 18 derivation modules for the Factor Skyline theory.
reproducibility/ Deterministic reproducibility harness for all FS numerical claims.
maps/ Architectural maps of the monograph structure.
archive/ Earlier drafts, preserved for provenance.

Reproducibility

python reproducibility/run_all.py

Deterministic seeding (seed 123456), 20 verification tables, timestamped output, GitHub Actions CI on every push. See reproducibility/README.md.


Citation

@misc{proxmire2026factorskyline,
  author       = {Allen Proxmire},
  title        = {The Factor Skyline: An Ontological Lookout Over the Integers},
  year         = {2026},
  version      = {v1.0},
  doi          = {10.5281/zenodo.18275273},
  url          = {https://doi.org/10.5281/zenodo.18275273},
  note         = {Monograph and supporting materials available at
                  https://github.com/allen-proxmire/factor-skyline}
}

License

See LICENSE for details.

Contact

Questions, feedback, and collaboration inquiries are welcome. Please open an issue or reach out via GitHub Discussions.

About

A structural and geometric ontology of the integers. The Factor Skyline reveals the hidden architecture behind divisibility, factorization, and prime behavior by lifting the number line into a causal, two‑dimensional vista.

Topics

Resources

Stars

Watchers

Forks

Packages

 
 
 

Contributors