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ZENODO
Preprint . 2026
License: CC BY
Data sources: ZENODO
ZENODO
Preprint . 2026
License: CC BY
Data sources: Datacite
ZENODO
Preprint . 2026
License: CC BY
Data sources: Datacite
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Fractal Quantum Field Theory: Complete Prediction Ledger and Experimental Forecast Overview

Authors: Petrov Pasev, Ivan;

Fractal Quantum Field Theory: Complete Prediction Ledger and Experimental Forecast Overview

Abstract

Two-page prediction and experimental overview document for the Fractal Quantum Field Theory (FQFT) research program. This publication summarizes the primary numerical predictions, fixed-point structures, and experimental test windows derived from the FQFT framework. The theory models Planck-scale spacetime as a q-regular Ramanujan graph with spectral gap structure and studies the Standard Model as the emergent low-dimensional limit of a field theory defined on a fractal measure space. The document presents: core FQFT input parameters, derived Standard Model structures, neutrino ordering predictions, CKM and PMNS predictions, Higgs-sector forecasts, dark matter and axion test windows, comparison tables against PDG 2024 reference values, distinctions from Geometric Unity, String Theory, and Loop Quantum Gravity. The predictions card serves as: a compact overview of the ten-paper FQFT research program, an experimental roadmap, a phenomenological summary, and a companion reference to the reproducibility software package fqft_compute_v2.py. Primary experimental reference targets include: JUNO, KM3NeT, HL-LHC, CASPEr-Electric, LZ, XENONnT, CMB-S4. This publication is intended as a concise public-facing and research-facing summary of the FQFT framework and its phenomenological predictions.

Keywords

FQFT, Standard Model, Spectral Geometry, Fractal Quantum Field Theory, Ramanujan Graphs

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green