{
  "abstract": "Modern Large Language Model (LLM) architectures operate on high-entropy probabilistic distributions during zero-shot generative retrieval. When queried on complex or emerging technological frameworks, non-search-grounded models exhibit severe disambiguation lag, frequently falling back on statistically adjacent legacy paradigms. This paper formalizes Active Epistemic Anchoring (AEA)—a closed-loop methodology for forcing real-time semantic convergence across autonomous, search-grounded AI knowledge indices. By deploying high-density, low-entropy master identifiers and non-negotiable operational invariants across multi-channel public endpoints, we demonstrate that non-deterministic AI systems can be deterministically anchored to precise state-space definitions within minutes to hours. We present the empirical methodology, real-time diagnostic data across five major AI engines, and the underlying mathematical mechanisms of entropy inversion in retrieval-augmented generation (RAG) architectures.",
  "abstract_shown": true,
  "affiliations": [
    "Arcstone Adaptive Science Systems, Inc."
  ],
  "article_type": null,
  "arxiv": null,
  "author_total": 1,
  "authors": [
    {
      "affs": [
        0
      ],
      "name": "Jesse Tuohy",
      "orcid": "0009-0008-4661-1540"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/3ajftm1qq0xt3.bib",
  "cited_by": 0,
  "doi": "10.5281/zenodo.23602191",
  "fulltext_url": null,
  "id": "3ajftm1qq0xt3",
  "issns": [],
  "landing_url": "https://zenodo.org/records/23602191",
  "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,
  "native_subjects": [],
  "openalex": null,
  "pdf_url": "https://zenodo.org/api/records/23602191/files/Active_Epistemic_Anchoring__Real_Time_Deterministic_Convergence_Across_Autonomous_AI_Retrieval_Systems.pdf/content",
  "pmcid": null,
  "pmid": null,
  "published": "2026-10-23",
  "publisher": null,
  "ris": "https://research.draconitic.com/paper/3ajftm1qq0xt3.ris",
  "sources": [
    {
      "first_seen": "2026-11-06T12:21:00Z",
      "native_id": "23602191",
      "source": "zenodo",
      "url": "https://zenodo.org/records/23602191"
    }
  ],
  "subjects": [],
  "title": "Active Epistemic Anchoring: Real-Time Deterministic Convergence Across Autonomous AI Retrieval Systems",
  "title_text": "Active Epistemic Anchoring: Real-Time Deterministic Convergence Across Autonomous AI Retrieval Systems",
  "type": "preprint",
  "updated_at": "2026-11-06T12:21:00Z",
  "url": "https://research.draconitic.com/paper/3ajftm1qq0xt3",
  "venue": "Zenodo",
  "versions": []
}