{
  "abstract": "FINDING: The search results are pedagogical overviews of entropy maximization and mutual information, not novel research findings on upper bounds of integrated information (Φ) or algorithmic redundancy. | MATH: No new equations derived; standard definitions implied: H(X) = −Σ p(x) log p(x); I(X;Y) = H(X) − H(X|Y) = Σ p(x,y) log[p(x,y)/(p(x)p(y))]; max entropy under variance constraint → Gaussian, H_max = ½ log(2πeσ²). | CONNECTION: None explicit. However, the maximum entropy distribution's covariance structure relates to ellipsoidal symmetry, and mutual information between Gaussian variables I = −½ log(1−ρ²) where ρ is correlation — the functional form contains no golden-ratio constants but does involve logarithms, which in base-e vs base-2 differ by ln2 — no geometric ratio appears. | DEPTH: 2 — These are tutorial-level restatements of classical information theory (Shannon 1948). No upper bound on Φ, no algorithmic mutual information bound, no redundancy theorem is presented. The \"fin\n\nAuthor: Andrew Stewart Caldin, Independent Researcher, UK. Part of the E8 Intelligence Research series. Platform: e8intelligence.com",
  "abstract_shown": true,
  "affiliations": [
    "Independent Researcher, United Kingdom"
  ],
  "article_type": null,
  "arxiv": null,
  "author_total": 1,
  "authors": [
    {
      "affs": [
        0
      ],
      "name": "Andrew Stewart Caldin"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/fr78rdccb3hrc.bib",
  "cited_by": 0,
  "doi": "10.5281/zenodo.23553778",
  "fulltext_url": null,
  "id": "fr78rdccb3hrc",
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  "landing_url": "https://zenodo.org/records/23553778",
  "language": "eng",
  "licence": "CC-BY-4.0",
  "licence_label": "CC BY 4.0",
  "licence_source": "article",
  "licence_url": "https://creativecommons.org/licenses/by/4.0/",
  "metadata_licence": null,
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  "pmcid": null,
  "pmid": null,
  "published": "2026-10-22",
  "publisher": null,
  "ris": "https://research.draconitic.com/paper/fr78rdccb3hrc.ris",
  "sources": [
    {
      "first_seen": "2026-11-05T12:21:16Z",
      "native_id": "23553778",
      "source": "zenodo",
      "url": "https://zenodo.org/records/23553778"
    }
  ],
  "subjects": [],
  "title": "Entropy Maximization and Mutual Information: Pedagogical Overviews, Not Novel Bounds on Integrated Information — E8 Intelligence Research",
  "title_text": "Entropy Maximization and Mutual Information: Pedagogical Overviews, Not Novel Bounds on Integrated Information — E8 Intelligence Research",
  "type": "preprint",
  "updated_at": "2026-11-05T12:21:16Z",
  "url": "https://research.draconitic.com/paper/fr78rdccb3hrc",
  "venue": "Zenodo",
  "versions": []
}