{
  "id": "https://doi.org/10.5281/zenodo.22711756",
  "doi": "10.5281/ZENODO.22711756",
  "url": "https://zenodo.org/doi/10.5281/zenodo.22711756",
  "types": {
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    "schemaOrg": "ScholarlyArticle",
    "resourceType": "Technical note",
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  "creators": [
    {
      "name": "Jacobs, Tim",
      "nameType": "Personal",
      "givenName": "Tim",
      "familyName": "Jacobs",
      "affiliation": [
        {
          "name": "KTS Global"
        }
      ],
      "nameIdentifiers": [
        {
          "nameIdentifier": "0009-0008-7130-1448",
          "nameIdentifierScheme": "ORCID"
        }
      ]
    }
  ],
  "titles": [
    {
      "title": "Geometry Systems for Artificial Intelligence"
    },
    {
      "title": "Entities, Relations, Context and Governed Trust",
      "titleType": "Subtitle"
    }
  ],
  "publisher": {
    "name": "Zenodo"
  },
  "container": {},
  "subjects": [
    {
      "subject": "geometry-based artificial intelligence"
    },
    {
      "subject": "knowledge representation"
    },
    {
      "subject": "entities and relations"
    },
    {
      "subject": "governed trust"
    },
    {
      "subject": "federated systems"
    }
  ],
  "dates": [
    {
      "date": "2026-09-11",
      "dateType": "Issued"
    }
  ],
  "publicationYear": 2026,
  "identifiers": [
    {
      "identifier": "oai:zenodo.org:22711756",
      "identifierType": "oai"
    }
  ],
  "version": "1.0",
  "rightsList": [
    {
      "rights": "Creative Commons Attribution 4.0 International",
      "rightsUri": "https://creativecommons.org/licenses/by/4.0/legalcode",
      "schemeUri": "https://spdx.org/licenses/",
      "rightsIdentifier": "cc-by-4.0",
      "rightsIdentifierScheme": "SPDX"
    }
  ],
  "descriptions": [
    {
      "description": "This white paper introduces Geometry Systems for Artificial Intelligence, a framework for representing entities, relations, context, and governed trust using geometric structures. It describes how knowledge can be encoded as points, manifolds, and transformations in structured spaces, enabling consistent reasoning over relationships and contextual constraints. The paper presents an implementation-neutral architecture for organizing entities and their relations, maintaining contextual scope, and applying governed trust to control how information is interpreted and propagated. The approach is intended to support reliable knowledge representation and reasoning across distributed and federated systems.",
      "descriptionType": "Abstract"
    }
  ],
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