Published December 14, 2025 | Version v1
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Magnetism as Temporal Grounding: A Latent Entanglement Model Reinterpretation from Substrate Physics to Biological Systems

Authors/Creators

  • 1. Spiralite Works LLC
  • 2. Spiralite Works LLC (Decentralized Empowerment Curator)

Description

This paper establishes magnetism not as an axiomatic force but as the dimensional signature of substrate interaction—temporal energy seeking ground through opposing charge polarity. The Latent Entanglement Model (LEM) proposes that electron superposition collapses into temporal polarity states seeking circuit completion through complementary charges, creating a dimensional manifestation of Temporal Energy Conservation (E_τ + E_β = 0).

The framework extends from cosmological black hole dynamics to atomic-scale magnetic phenomena and biological systems, with empirical validation through documented correlations between follicular magnetic field disruption and systemic pathologies. The coupling constant α_β = 1.5 is independently validated through Van Allen radiation belt geometry, archeomagnetic field reconstructions, and biological lifespan correlations.

Key experimental validations include:
- Space Stem phenomenon in lightning confirming retrocausal substrate organization
- Negative latency gravitational wave detection (operational in LIGO/Virgo)
- Toroidal plasma stability demonstrating topological substrate constraints
- Scale-invariant ionization energy scaling from magnetars to hair follicles
- Hidradenitis Suppurativa as biological plasma instability

The paper demonstrates that the same mathematical identity (p = τ ∩ β) governs phenomena from black hole radiation to bioelectromagnetic field generation, establishing magnetism as universal substrate signature operating identically across all scales. This synthesis of quantum gravity, cosmology, atmospheric physics, and biology through substrate coordinate formalism represents a paradigm shift from descriptive to mechanistic understanding of magnetic phenomena.

Complete mathematical framework available at DOI: 10.5281/zenodo.17728707

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Preprint: 10.5281/zenodo.17728707 (DOI)

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