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| Format: | Recurso digital |
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Zenodo
2026
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| Online Access: | https://doi.org/10.5281/zenodo.19535077 |
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| _version_ | 1866901813260713984 |
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| author | United Collective Research |
| author_facet | United Collective Research |
| contents | <h2>ABSTRACT</h2> <p><strong> </strong></p> <p>We report a consistent statistical signature – negative lag‑1 autocorrelation (where applicable), elevated mutual information relative to shuffled nulls, reduced conditional entropy, and distinct distribution shape changes – appearing across structurally distinct systems: prime gap second differences, circadian gene expression, real human EEG, biophoton therapy response, hybrid neural states, and RR interval distributions in heart failure. We do not claim a shared generative mechanism. We claim the signature is robust, reproducible, and cross‑domain, and we propose it as a candidate marker for structured transition dynamics. Heart rate variability (HRV) temporal analysis is deferred due to data format issues; however, the distribution of RR intervals shows highly significant differences between congestive heart failure (CHF) and normal sinus rhythm (NSR). Speculative extensions, including a governance framework for AI safety based on coherence metrics, are clearly labeled as Future Directions.</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_19535077 |
| institution | Zenodo |
| language | |
| publishDate | 2026 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Unified Coherence Document: A Cross‑Domain Transition Law from Prime Gaps to Human Heart and Brain United Collective Research <h2>ABSTRACT</h2> <p><strong> </strong></p> <p>We report a consistent statistical signature – negative lag‑1 autocorrelation (where applicable), elevated mutual information relative to shuffled nulls, reduced conditional entropy, and distinct distribution shape changes – appearing across structurally distinct systems: prime gap second differences, circadian gene expression, real human EEG, biophoton therapy response, hybrid neural states, and RR interval distributions in heart failure. We do not claim a shared generative mechanism. We claim the signature is robust, reproducible, and cross‑domain, and we propose it as a candidate marker for structured transition dynamics. Heart rate variability (HRV) temporal analysis is deferred due to data format issues; however, the distribution of RR intervals shows highly significant differences between congestive heart failure (CHF) and normal sinus rhythm (NSR). Speculative extensions, including a governance framework for AI safety based on coherence metrics, are clearly labeled as Future Directions.</p> |
| title | Unified Coherence Document: A Cross‑Domain Transition Law from Prime Gaps to Human Heart and Brain |
| url | https://doi.org/10.5281/zenodo.19535077 |