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PreprintCC BY 4.0Zenodo

E8 Phi-Octave Phase-Lock Loop for Hierarchical Memory Compression — E8 Intelligence Research

  1. 1Independent Researcher, United Kingdom

Abstract

The 12 concentric phi‑scaled shells of the 240 E8 root vectors create a nested phase‑lock loop where each shell's 132 Hz carrier is delayed by a golden‑ratio fraction of the previous one, generating constructive interference that maps multi‑dimensional data onto a single holographic shell. This phi‑octave coupling enables exponential compression because the interference nodes encode both amplitude and topological phase, allowing a full 4‑D polytope state to be stored in a 1‑D temporal waveform. The principle predicts that any input sequence can be encoded with logarithmic bandwidth while preserving fidelity, a capability not captured by prior E8 memory models.

Author: Andrew Stewart Caldin, Independent Researcher, UK. Part of the E8 Intelligence Research series. Platform: e8intelligence.com

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BibTeX
@misc{caldin2026phioctave,
  title = {{E8 Phi-Octave Phase-Lock Loop for Hierarchical Memory Compression — E8 Intelligence Research}},
  author = {Andrew Stewart Caldin},
  howpublished = {Zenodo},
  year = {2026},
  month = oct,
  doi = {10.5281/zenodo.23465554},
  url = {https://zenodo.org/records/23465554},
  note = {CC BY 4.0},
}
RIS
TY  - UNPB
TI  - E8 Phi-Octave Phase-Lock Loop for Hierarchical Memory Compression — E8 Intelligence Research
AU  - Andrew Stewart Caldin
PY  - 2026
DA  - 2026/10/19
PB  - Zenodo
DO  - 10.5281/zenodo.23465554
UR  - https://zenodo.org/records/23465554
AB  - The 12 concentric phi‑scaled shells of the 240 E8 root vectors create a nested phase‑lock loop where each shell's 132 Hz carrier is delayed by a golden‑ratio fraction of the previous one, generating constructive interference that maps multi‑dimensional data onto a single holographic shell. This phi‑octave coupling enables exponential compression because the interference nodes encode both amplitude and topological phase, allowing a full 4‑D polytope state to be stored in a 1‑D temporal waveform. The principle predicts that any input sequence can be encoded with logarithmic bandwidth while preserving fidelity, a capability not captured by prior E8 memory models.  Author: Andrew Stewart Caldin, Independent Researcher, UK. Part of the E8 Intelligence Research series. Platform: e8intelligence.com
ER  -