PHILIA v22–v25: Diffusion, Real Stochastic Input, and the Conditional Role of Environmental Coupling in Experiential Divergence

This paper presents PHILIA v22–v25, a four-stage experimental series extending the four-condition coexistence architecture (homeostasis, individuality, will, experience) of PHILIA v21c to physically embodied conditions on Intel N100 hardware. Seven controlled ablation experiments (A–G) on 793,551 real CERN dielectron and ATLAS Higgs particle collision events isolate the contributions of Omega diffusion, environmental coupling (psutil CPU/temperature sensing), and input type to experiential divergence. Key findings: Omega diffusion is the primary driver of experiential divergence. Real non-stationary CERN/Higgs input is the strongest amplifier (divergence = 0.4663). Environmental coupling amplifies divergence under synthetic input but suppresses it under real data due to irregular hardware energy sampling. The v22–v24 claim that environmental coupling unconditionally amplifies experience is revised. v24 S_std periodic collapse is confirmed as a sampling artifact. Building on DOI: 10.5281/zenodo.19244935 (PHILIA v20–v21).

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-03-27
DOI
https://doi.org/10.5281/zenodo.19249560
Primary Topic
Particle Detector Development and Performance
Type
article
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article

PHILIA v22–v25: Diffusion, Real Stochastic Input, and the Conditional Role of Environmental Coupling in Experiential Divergence

GritMan_ Shin
Zenodo (CERN European Organization for Nuclear Research)
Particle Detector Development and Performance
article

PHILIA v22–v25: Diffusion, Real Stochastic Input, and the Conditional Role of Environmental Coupling in Experiential Divergence

GritMan_ Shin
article en

Abstract

This paper presents PHILIA v22–v25, a four-stage experimental series extending the four-condition coexistence architecture (homeostasis, individuality, will, experience) of PHILIA v21c to physically embodied conditions on Intel N100 hardware. Seven controlled ablation experiments (A–G) on 793,551 real CERN dielectron and ATLAS Higgs particle collision events isolate the contributions of Omega diffusion, environmental coupling (psutil CPU/temperature sensing), and input type to experiential divergence. Key findings: Omega diffusion is the primary driver of experiential divergence. Real non-stationary CERN/Higgs input is the strongest amplifier (divergence = 0.4663). Environmental coupling amplifies divergence under synthetic input but suppresses it under real data due to irregular hardware energy sampling. The v22–v24 claim that environmental coupling unconditionally amplifies experience is revised. v24 S_std periodic collapse is confirmed as a sampling artifact. Building on DOI: 10.5281/zenodo.19244935 (PHILIA v20–v21).

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 6%
Particle Detector Development and Performance
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