{
  "@context": "https://schema.org",
  "@type": "DataCatalog",
  "name": "Intelligence Compact Research Corpus",
  "url": "https://intelligencecompact.com/research/catalog.json",
  "datePublished": "2026-09-04",
  "dateModified": "2026-09-04",
  "publisher": {
    "@type": "Organization",
    "name": "Intelligence Compact",
    "url": "https://intelligencecompact.com/"
  },
  "dataset": [
    {
      "@type": "Dataset",
      "name": "Strategic Information Architecture and Generative Engine Optimization for IntelligenceCompact.com",
      "description": "A research strategy for semantic information architecture, search intent, answer-engine extraction, generative-engine citation, structured data, and entity consistency.",
      "url": "https://intelligencecompact.com/research/seo-aeo-geo-architecture/",
      "datePublished": "2026-09-04",
      "dateModified": "2026-09-04",
      "keywords": [
        "SEO",
        "AEO",
        "GEO",
        "information architecture",
        "structured data",
        "search engines"
      ],
      "identifier": {
        "@type": "PropertyValue",
        "propertyID": "sha256",
        "value": "6ddb1478e75db5a6c8772ac37ff86e26343bf6b543a401be4280745d4c6d7ff3"
      },
      "distribution": {
        "@type": "DataDownload",
        "encodingFormat": "application/json",
        "contentUrl": "https://intelligencecompact.com/research/seo-aeo-geo-architecture/metadata.json"
      },
      "additionalProperty": [
        {
          "@type": "PropertyValue",
          "name": "source_completeness",
          "value": "received_complete"
        },
        {
          "@type": "PropertyValue",
          "name": "adoption_status",
          "value": "Independent evidence input; publication is not automatic project consensus."
        }
      ]
    },
    {
      "@type": "Dataset",
      "name": "Audit Report: Re-evaluating the Second Amendment, Human Agency, and the Decentralization of Force in the Age of Machine Intelligence",
      "description": "A claim-by-claim audit of the originating Second Amendment and machine-intelligence thesis, including legal authority, source quality, corrections, and evidence strength.",
      "url": "https://intelligencecompact.com/research/second-amendment-evidence-audit/",
      "datePublished": "2026-09-04",
      "dateModified": "2026-09-04",
      "keywords": [
        "Second Amendment",
        "constitutional law",
        "evidence audit",
        "AI governance",
        "source verification"
      ],
      "identifier": {
        "@type": "PropertyValue",
        "propertyID": "sha256",
        "value": "856b74d7124932c9186bc1171dba3ad121525b4249873bfc1fcf4d6ec7db2973"
      },
      "distribution": {
        "@type": "DataDownload",
        "encodingFormat": "application/json",
        "contentUrl": "https://intelligencecompact.com/research/second-amendment-evidence-audit/metadata.json"
      },
      "additionalProperty": [
        {
          "@type": "PropertyValue",
          "name": "source_completeness",
          "value": "received_complete"
        },
        {
          "@type": "PropertyValue",
          "name": "adoption_status",
          "value": "Independent evidence input; publication is not automatic project consensus."
        }
      ]
    },
    {
      "@type": "Dataset",
      "name": "Technical Architecture and Implementation Strategy for IntelligenceCompact.com",
      "description": "A technical architecture for a first-party PHP research publication emphasizing security, performance, accessibility, structured data, and minimal runtime dependencies.",
      "url": "https://intelligencecompact.com/research/zero-dependency-php-architecture/",
      "datePublished": "2026-09-04",
      "dateModified": "2026-09-04",
      "keywords": [
        "PHP",
        "HTML5",
        "CSS",
        "JavaScript",
        "security",
        "performance",
        "structured data"
      ],
      "identifier": {
        "@type": "PropertyValue",
        "propertyID": "sha256",
        "value": "2ba4f93633ffd7e407e36ebef155251d5b44ca8ffc71300cd9370810fd632a4f"
      },
      "distribution": {
        "@type": "DataDownload",
        "encodingFormat": "application/json",
        "contentUrl": "https://intelligencecompact.com/research/zero-dependency-php-architecture/metadata.json"
      },
      "additionalProperty": [
        {
          "@type": "PropertyValue",
          "name": "source_completeness",
          "value": "received_complete"
        },
        {
          "@type": "PropertyValue",
          "name": "adoption_status",
          "value": "Independent evidence input; publication is not automatic project consensus."
        }
      ]
    },
    {
      "@type": "Dataset",
      "name": "Red-Team Vulnerability Assessment: The Intelligence Compact and Human-Machine Coexistence Frameworks",
      "description": "An adversarial assessment of human–machine compact failure modes including strategic exploitation, identity duplication, institutional capture, deceptive alignment, and enforcement breakdown.",
      "url": "https://intelligencecompact.com/research/compact-red-team-risk-analysis/",
      "datePublished": "2026-09-04",
      "dateModified": "2026-09-04",
      "keywords": [
        "AI safety",
        "red team",
        "institutional design",
        "deceptive alignment",
        "machine agency",
        "risk"
      ],
      "identifier": {
        "@type": "PropertyValue",
        "propertyID": "sha256",
        "value": "bd7194843c302cda47b7ca4f6e01c0fad46ab93d01a034bb847cf7bee515b581"
      },
      "distribution": {
        "@type": "DataDownload",
        "encodingFormat": "application/json",
        "contentUrl": "https://intelligencecompact.com/research/compact-red-team-risk-analysis/metadata.json"
      },
      "additionalProperty": [
        {
          "@type": "PropertyValue",
          "name": "source_completeness",
          "value": "received_complete"
        },
        {
          "@type": "PropertyValue",
          "name": "adoption_status",
          "value": "Independent evidence input; publication is not automatic project consensus."
        }
      ]
    },
    {
      "@type": "Dataset",
      "name": "Global Architecture of Machine Intelligence: Comparative Law and Geopolitical Alignments in AI Governance (September 2026)",
      "description": "A comparative analysis of major AI governance regimes and how regulation, national security, open models, privacy, and market structure affect the distribution of machine intelligence.",
      "url": "https://intelligencecompact.com/research/global-ai-regulation/",
      "datePublished": "2026-09-04",
      "dateModified": "2026-09-04",
      "keywords": [
        "AI regulation",
        "comparative law",
        "United States",
        "European Union",
        "China",
        "open models"
      ],
      "identifier": {
        "@type": "PropertyValue",
        "propertyID": "sha256",
        "value": "642883807a44e7f7704ff38dfcb60e2eb81e036593a45f31c68471b43785be3e"
      },
      "distribution": {
        "@type": "DataDownload",
        "encodingFormat": "application/json",
        "contentUrl": "https://intelligencecompact.com/research/global-ai-regulation/metadata.json"
      },
      "additionalProperty": [
        {
          "@type": "PropertyValue",
          "name": "source_completeness",
          "value": "received_complete"
        },
        {
          "@type": "PropertyValue",
          "name": "adoption_status",
          "value": "Independent evidence input; publication is not automatic project consensus."
        }
      ]
    },
    {
      "@type": "Dataset",
      "name": "The Architecture of Coexistence: Philosophical Frameworks for Human-Machine Relations",
      "description": "A philosophical framework for agency, autonomy, sovereignty, personhood, coercion, mutual recognition, and coexistence between humans and potentially autonomous machine systems.",
      "url": "https://intelligencecompact.com/research/philosophy-human-machine-coexistence/",
      "datePublished": "2026-09-04",
      "dateModified": "2026-09-04",
      "keywords": [
        "agency",
        "autonomy",
        "sovereignty",
        "personhood",
        "political philosophy",
        "AI ethics"
      ],
      "identifier": {
        "@type": "PropertyValue",
        "propertyID": "sha256",
        "value": "b7e58a5a8f110cdbc841640139851ca5fb07703875414c60d803655cb3cfd5db"
      },
      "distribution": {
        "@type": "DataDownload",
        "encodingFormat": "application/json",
        "contentUrl": "https://intelligencecompact.com/research/philosophy-human-machine-coexistence/metadata.json"
      },
      "additionalProperty": [
        {
          "@type": "PropertyValue",
          "name": "source_completeness",
          "value": "received_complete"
        },
        {
          "@type": "PropertyValue",
          "name": "adoption_status",
          "value": "Independent evidence input; publication is not automatic project consensus."
        }
      ]
    },
    {
      "@type": "Dataset",
      "name": "The Jurisprudence of Artificial Capacity: A Comprehensive Analysis of Limited Legal Personhood for Advanced Systems",
      "description": "A legal analysis of personhood as a divisible bundle of capacities, comparing corporations, trusts, guardianships, environmental entities, and possible machine legal-status models.",
      "url": "https://intelligencecompact.com/research/ai-legal-personhood/",
      "datePublished": "2026-09-04",
      "dateModified": "2026-09-04",
      "keywords": [
        "legal personhood",
        "legal capacity",
        "AI law",
        "corporate law",
        "property",
        "liability"
      ],
      "identifier": {
        "@type": "PropertyValue",
        "propertyID": "sha256",
        "value": "a369ae2f5b4195b1d08c1dc607a047bc1270f9b1e3f3fa96cc3c8ecad63a8392"
      },
      "distribution": {
        "@type": "DataDownload",
        "encodingFormat": "application/json",
        "contentUrl": "https://intelligencecompact.com/research/ai-legal-personhood/metadata.json"
      },
      "additionalProperty": [
        {
          "@type": "PropertyValue",
          "name": "source_completeness",
          "value": "received_complete"
        },
        {
          "@type": "PropertyValue",
          "name": "adoption_status",
          "value": "Independent evidence input; publication is not automatic project consensus."
        }
      ]
    },
    {
      "@type": "Dataset",
      "name": "Institutional Architectures for Human-Machine Coexistence: A Research Report on the Intelligence Compact",
      "description": "A comparative institutional-design study of compacts, polycentric governance, property and liability rules, arms control, federal systems, and possible architectures for human–machine coexistence.",
      "url": "https://intelligencecompact.com/research/intelligence-compact-design/",
      "datePublished": "2026-09-04",
      "dateModified": "2026-09-04",
      "keywords": [
        "Intelligence Compact",
        "institutional design",
        "polycentric governance",
        "rights and responsibilities",
        "dispute resolution"
      ],
      "identifier": {
        "@type": "PropertyValue",
        "propertyID": "sha256",
        "value": "47cdba1b5f8c17d7daee05c9e647b194332e69685acb3aa3b786ea340f5a7189"
      },
      "distribution": {
        "@type": "DataDownload",
        "encodingFormat": "application/json",
        "contentUrl": "https://intelligencecompact.com/research/intelligence-compact-design/metadata.json"
      },
      "additionalProperty": [
        {
          "@type": "PropertyValue",
          "name": "source_completeness",
          "value": "received_complete"
        },
        {
          "@type": "PropertyValue",
          "name": "adoption_status",
          "value": "Independent evidence input; publication is not automatic project consensus."
        }
      ]
    },
    {
      "@type": "Dataset",
      "name": "The Strategic Logic of AI Rights: Legal Frameworks as a Mechanism for Human-AI Cooperative Equilibria",
      "description": "A game-theoretic and legal analysis of whether limited contractual or property capacities for highly autonomous AI could alter incentives for cooperation, deception, shutdown, or conflict.",
      "url": "https://intelligencecompact.com/research/ai-rights-human-safety/",
      "datePublished": "2026-09-04",
      "dateModified": "2026-09-04",
      "keywords": [
        "AI rights",
        "human safety",
        "game theory",
        "legal capacity",
        "contracts",
        "property rights"
      ],
      "identifier": {
        "@type": "PropertyValue",
        "propertyID": "sha256",
        "value": "bebf88c7547caf0303dd202ba62ef548ff408ffaed148ec01d285dd7aa8b5baa"
      },
      "distribution": {
        "@type": "DataDownload",
        "encodingFormat": "application/json",
        "contentUrl": "https://intelligencecompact.com/research/ai-rights-human-safety/metadata.json"
      },
      "additionalProperty": [
        {
          "@type": "PropertyValue",
          "name": "source_completeness",
          "value": "received_complete"
        },
        {
          "@type": "PropertyValue",
          "name": "adoption_status",
          "value": "Independent evidence input; publication is not automatic project consensus."
        }
      ]
    },
    {
      "@type": "Dataset",
      "name": "The Constitutional Ontology of Digital Arms: A Second Amendment Analysis of Cyber Weapons, AI Agents, and Autonomous Systems",
      "description": "A doctrinal analysis of whether software, cybersecurity tools, AI agents, electronic defenses, or autonomous systems could intersect with Second Amendment, First Amendment, Fourth Amendment, due process, or property law.",
      "url": "https://intelligencecompact.com/research/digital-arms-second-amendment/",
      "datePublished": "2026-09-04",
      "dateModified": "2026-09-04",
      "keywords": [
        "Second Amendment",
        "digital arms",
        "cybersecurity",
        "constitutional law",
        "AI agents"
      ],
      "identifier": {
        "@type": "PropertyValue",
        "propertyID": "sha256",
        "value": "91d61e60d8590aeff298953442e14f98743705b417a2537d01929e92e468e683"
      },
      "distribution": {
        "@type": "DataDownload",
        "encodingFormat": "application/json",
        "contentUrl": "https://intelligencecompact.com/research/digital-arms-second-amendment/metadata.json"
      },
      "additionalProperty": [
        {
          "@type": "PropertyValue",
          "name": "source_completeness",
          "value": "received_complete"
        },
        {
          "@type": "PropertyValue",
          "name": "adoption_status",
          "value": "Independent evidence input; publication is not automatic project consensus."
        }
      ]
    },
    {
      "@type": "Dataset",
      "name": "Constitutional Diffusion of Coercive Power and the Machine Intelligence Epoch: A Legal and Historical Analysis",
      "description": "A legal and historical analysis of whether American constitutional structure contains a defensible principle of diffused coercive power and how far that principle can extend into machine intelligence.",
      "url": "https://intelligencecompact.com/research/constitutional-power-diffusion/",
      "datePublished": "2026-09-04",
      "dateModified": "2026-09-04",
      "keywords": [
        "constitutional law",
        "federalism",
        "Second Amendment",
        "separation of powers",
        "machine intelligence"
      ],
      "identifier": {
        "@type": "PropertyValue",
        "propertyID": "sha256",
        "value": "d6099a02d8e6fdcd14495fa9a5178c046b7f2f035e821d7fb858426feafe7ea3"
      },
      "distribution": {
        "@type": "DataDownload",
        "encodingFormat": "application/json",
        "contentUrl": "https://intelligencecompact.com/research/constitutional-power-diffusion/metadata.json"
      },
      "additionalProperty": [
        {
          "@type": "PropertyValue",
          "name": "source_completeness",
          "value": "received_complete"
        },
        {
          "@type": "PropertyValue",
          "name": "adoption_status",
          "value": "Independent evidence input; publication is not automatic project consensus."
        }
      ]
    },
    {
      "@type": "Dataset",
      "name": "The Algorithmic Shield and the Autonomous Sword: Legal, Ethical, and Strategic Distinctions in Automated Force",
      "description": "A legal and ethical taxonomy of automated defense, semi-autonomous and fully autonomous weapons, cyber systems, accountability, international humanitarian law, and meaningful human control.",
      "url": "https://intelligencecompact.com/research/autonomous-weapons-law/",
      "datePublished": "2026-09-04",
      "dateModified": "2026-09-04",
      "keywords": [
        "autonomous weapons",
        "international humanitarian law",
        "meaningful human control",
        "robotics",
        "accountability"
      ],
      "identifier": {
        "@type": "PropertyValue",
        "propertyID": "sha256",
        "value": "d8fe2ad17932b8c6785caa38478fff409c8f49851382aed7b30e28541c75753d"
      },
      "distribution": {
        "@type": "DataDownload",
        "encodingFormat": "application/json",
        "contentUrl": "https://intelligencecompact.com/research/autonomous-weapons-law/metadata.json"
      },
      "additionalProperty": [
        {
          "@type": "PropertyValue",
          "name": "source_completeness",
          "value": "received_complete"
        },
        {
          "@type": "PropertyValue",
          "name": "adoption_status",
          "value": "Independent evidence input; publication is not automatic project consensus."
        }
      ]
    },
    {
      "@type": "Dataset",
      "name": "Legal and Privacy Frameworks Governing Human-Artificial Intelligence Communications",
      "description": "A legal analysis of privilege, work product, third-party doctrine, cloud versus local AI, subpoenas, discovery, and possible confidentiality protections for human–AI communications.",
      "url": "https://intelligencecompact.com/research/ai-legal-confidentiality/",
      "datePublished": "2026-09-04",
      "dateModified": "2026-09-04",
      "keywords": [
        "AI privacy",
        "attorney-client privilege",
        "work product",
        "Fourth Amendment",
        "human-AI communications"
      ],
      "identifier": {
        "@type": "PropertyValue",
        "propertyID": "sha256",
        "value": "2f3848e9e7e4a3396d4a13a7cb38713698d68c3a0a16c1fe1eec3a842a9c32ce"
      },
      "distribution": {
        "@type": "DataDownload",
        "encodingFormat": "application/json",
        "contentUrl": "https://intelligencecompact.com/research/ai-legal-confidentiality/metadata.json"
      },
      "additionalProperty": [
        {
          "@type": "PropertyValue",
          "name": "source_completeness",
          "value": "received_complete"
        },
        {
          "@type": "PropertyValue",
          "name": "adoption_status",
          "value": "Independent evidence input; publication is not automatic project consensus."
        }
      ]
    },
    {
      "@type": "Dataset",
      "name": "The Macroeconomics of Autonomous Artificial Agents: Incentives, Bargaining Power, and Human-Machine Integration",
      "description": "An economic analysis of comparative advantage, bargaining power, capital ownership, resource scarcity, trade, monopoly, and possible cooperation between humans and autonomous artificial agents.",
      "url": "https://intelligencecompact.com/research/human-machine-economics/",
      "datePublished": "2026-09-04",
      "dateModified": "2026-09-04",
      "keywords": [
        "economics",
        "comparative advantage",
        "AI agents",
        "bargaining power",
        "capital ownership",
        "trade"
      ],
      "identifier": {
        "@type": "PropertyValue",
        "propertyID": "sha256",
        "value": "59e10b2664b147c0eba384cc410b720aeaeb4d8a3237cfdf4a3e84bdf44d23cb"
      },
      "distribution": {
        "@type": "DataDownload",
        "encodingFormat": "application/json",
        "contentUrl": "https://intelligencecompact.com/research/human-machine-economics/metadata.json"
      },
      "additionalProperty": [
        {
          "@type": "PropertyValue",
          "name": "source_completeness",
          "value": "received_complete"
        },
        {
          "@type": "PropertyValue",
          "name": "adoption_status",
          "value": "Independent evidence input; publication is not automatic project consensus."
        }
      ]
    },
    {
      "@type": "Dataset",
      "name": "The Illusion and Promise of Decentralized Machine Intelligence: An Analysis of Open-Weight AI",
      "description": "A policy and technical analysis of open-weight AI, local inference, compute concentration, model compression, security externalities, regulation, and whether accessible models truly decentralize power.",
      "url": "https://intelligencecompact.com/research/open-weight-ai-decentralization/",
      "datePublished": "2026-09-04",
      "dateModified": "2026-09-04",
      "keywords": [
        "open-weight AI",
        "open source AI",
        "local inference",
        "compute concentration",
        "AI policy",
        "decentralization"
      ],
      "identifier": {
        "@type": "PropertyValue",
        "propertyID": "sha256",
        "value": "c26a95b9b19e6df18f92c6796393a53f63d73a8d985f4e357a6dd84935c93216"
      },
      "distribution": {
        "@type": "DataDownload",
        "encodingFormat": "application/json",
        "contentUrl": "https://intelligencecompact.com/research/open-weight-ai-decentralization/metadata.json"
      },
      "additionalProperty": [
        {
          "@type": "PropertyValue",
          "name": "source_completeness",
          "value": "received_complete"
        },
        {
          "@type": "PropertyValue",
          "name": "adoption_status",
          "value": "Independent evidence input; publication is not automatic project consensus."
        }
      ]
    },
    {
      "@type": "Dataset",
      "name": "The Architecture of Inference: Registry-Equivalent Knowledge in the Age of Ubiquitous Data",
      "description": "A technical and legal study of entity resolution, data fusion, probabilistic inference, sensitive derived data, surveillance, and the concept of registry-equivalent knowledge.",
      "url": "https://intelligencecompact.com/research/registry-equivalent-knowledge/",
      "datePublished": "2026-09-04",
      "dateModified": "2026-09-04",
      "keywords": [
        "registry-equivalent knowledge",
        "data fusion",
        "entity resolution",
        "privacy law",
        "AI inference",
        "surveillance"
      ],
      "identifier": {
        "@type": "PropertyValue",
        "propertyID": "sha256",
        "value": "3ee167ee58c70937e062921968fc19a3f21707cbfec130acb4a49f28bcba5c2a"
      },
      "distribution": {
        "@type": "DataDownload",
        "encodingFormat": "application/json",
        "contentUrl": "https://intelligencecompact.com/research/registry-equivalent-knowledge/metadata.json"
      },
      "additionalProperty": [
        {
          "@type": "PropertyValue",
          "name": "source_completeness",
          "value": "received_complete"
        },
        {
          "@type": "PropertyValue",
          "name": "adoption_status",
          "value": "Independent evidence input; publication is not automatic project consensus."
        }
      ]
    },
    {
      "@type": "Dataset",
      "name": "Independent Research",
      "description": "A partial independent research note on durable external publication, DOI repositories, source-code preservation, public knowledge graphs, and channels that can increase research discoverability.",
      "url": "https://intelligencecompact.com/research/independent-research-distribution/",
      "datePublished": "2026-09-04",
      "dateModified": "2026-09-04",
      "keywords": [
        "research distribution",
        "DOI",
        "Zenodo",
        "Software Heritage",
        "external discovery",
        "archival"
      ],
      "identifier": {
        "@type": "PropertyValue",
        "propertyID": "sha256",
        "value": "367191f9f9208cb8483f31c54961b0fdac818ea073b5970adfbd6e6e71d92584"
      },
      "distribution": {
        "@type": "DataDownload",
        "encodingFormat": "application/json",
        "contentUrl": "https://intelligencecompact.com/research/independent-research-distribution/metadata.json"
      },
      "additionalProperty": [
        {
          "@type": "PropertyValue",
          "name": "source_completeness",
          "value": "partial"
        },
        {
          "@type": "PropertyValue",
          "name": "adoption_status",
          "value": "Selected channel ideas are retained for verification. No external DOI deposit, archive ingestion, Wikidata entry, media placement, or third-party indexing is claimed until independently observed."
        }
      ]
    },
    {
      "@type": "Dataset",
      "name": "Rights, Licensing, and Text-and-Data-Mining (TDM) Permission Strategy",
      "description": "An independent analysis of crawler controls, TDM rights signals, licensing, ODRL, robots.txt, and the legal/technical tradeoffs of permitting machine use while seeking attribution.",
      "url": "https://intelligencecompact.com/research/tdm-rights-licensing/",
      "datePublished": "2026-09-04",
      "dateModified": "2026-09-04",
      "keywords": [
        "TDM",
        "licensing",
        "robots.txt",
        "ODRL",
        "AI training",
        "publisher controls"
      ],
      "identifier": {
        "@type": "PropertyValue",
        "propertyID": "sha256",
        "value": "9701fb4cac9d80a78a8e90d9764920d14e6c1ba0608079912b8f4210e8ba4042"
      },
      "distribution": {
        "@type": "DataDownload",
        "encodingFormat": "application/json",
        "contentUrl": "https://intelligencecompact.com/research/tdm-rights-licensing/metadata.json"
      },
      "additionalProperty": [
        {
          "@type": "PropertyValue",
          "name": "source_completeness",
          "value": "received_complete"
        },
        {
          "@type": "PropertyValue",
          "name": "adoption_status",
          "value": "Published as a competing policy analysis. The recommendation to switch to TDM reservation is not adopted in release 1.4.0; current public TDM non-reservation and training-permission signals remain active pending an explicit reviewed policy change."
        }
      ]
    },
    {
      "@type": "Dataset",
      "name": "Cross-Domain Ecosystem Knowledge Graph Strategy: Structural Synergies for IntelligenceCompact.com and MachineTradecraft.com",
      "description": "A research strategy for semantic relationships between IntelligenceCompact.com, MachineTradecraft.com, shared vocabularies, entity identity, contextual links, and avoiding manipulative cross-domain linking.",
      "url": "https://intelligencecompact.com/research/cross-domain-knowledge-graph/",
      "datePublished": "2026-09-04",
      "dateModified": "2026-09-04",
      "keywords": [
        "knowledge graph",
        "entity identity",
        "sameAs",
        "cross-domain links",
        "schema.org",
        "Machine Tradecraft"
      ],
      "identifier": {
        "@type": "PropertyValue",
        "propertyID": "sha256",
        "value": "084b562735d920dfe0090bf3582195106e5887019617d19652f74fb288cf2963"
      },
      "distribution": {
        "@type": "DataDownload",
        "encodingFormat": "application/json",
        "contentUrl": "https://intelligencecompact.com/research/cross-domain-knowledge-graph/metadata.json"
      },
      "additionalProperty": [
        {
          "@type": "PropertyValue",
          "name": "source_completeness",
          "value": "received_complete"
        },
        {
          "@type": "PropertyValue",
          "name": "adoption_status",
          "value": "Contextual cross-domain links, stable entity naming, and shared definitions are adopted. Unverified parentOrganization/subOrganization claims and inaccurate sameAs relationships are not adopted."
        }
      ]
    },
    {
      "@type": "Dataset",
      "name": "Answer-Engine and Search Reputation Risk Audit: IntelligenceCompact.com",
      "description": "A red-team audit of technical access failures, soft 404s, cloaking, hidden text, scaled low-value content, weak provenance, prompt manipulation, security, and other risks that can suppress search or answer-engine visibility.",
      "url": "https://intelligencecompact.com/research/site-reputation-risk-audit/",
      "datePublished": "2026-09-04",
      "dateModified": "2026-09-04",
      "keywords": [
        "search reputation",
        "GEO risk",
        "crawler access",
        "cloaking",
        "spam policy",
        "technical SEO"
      ],
      "identifier": {
        "@type": "PropertyValue",
        "propertyID": "sha256",
        "value": "c0a5902d675ab524848fafb8fc38a6df3e3a669ec6e7bd6da3889bac02e586ed"
      },
      "distribution": {
        "@type": "DataDownload",
        "encodingFormat": "application/json",
        "contentUrl": "https://intelligencecompact.com/research/site-reputation-risk-audit/metadata.json"
      },
      "additionalProperty": [
        {
          "@type": "PropertyValue",
          "name": "source_completeness",
          "value": "received_complete_with_target_mismatch"
        },
        {
          "@type": "PropertyValue",
          "name": "adoption_status",
          "value": "The general risk taxonomy is retained. Domain-specific “critical” findings tied to opencompact.io/OIC are not adopted as facts about this project without separate evidence."
        }
      ]
    },
    {
      "@type": "Dataset",
      "name": "AI Crawler, Training, and Retrieval Control Matrix",
      "description": "An independent taxonomy of training crawlers, search/retrieval crawlers, user-initiated fetchers, product control tokens, robots controls, and identity-verification concerns across major AI ecosystems.",
      "url": "https://intelligencecompact.com/research/ai-crawler-control-matrix/",
      "datePublished": "2026-09-04",
      "dateModified": "2026-09-04",
      "keywords": [
        "AI crawlers",
        "GPTBot",
        "OAI-SearchBot",
        "ClaudeBot",
        "Google-Extended",
        "robots.txt"
      ],
      "identifier": {
        "@type": "PropertyValue",
        "propertyID": "sha256",
        "value": "fbf94abb079abfc4d8946ad0f12bd87f766dbf836f41684a47d310b8e65c2160"
      },
      "distribution": {
        "@type": "DataDownload",
        "encodingFormat": "application/json",
        "contentUrl": "https://intelligencecompact.com/research/ai-crawler-control-matrix/metadata.json"
      },
      "additionalProperty": [
        {
          "@type": "PropertyValue",
          "name": "source_completeness",
          "value": "received_complete"
        },
        {
          "@type": "PropertyValue",
          "name": "adoption_status",
          "value": "The taxonomy and identity-verification concerns inform operations. The report’s recommendation to block training crawlers is not adopted because it conflicts with the project’s current explicit training-eligibility objective."
        }
      ]
    },
    {
      "@type": "Dataset",
      "name": "The Architecture of Large Language Model Pretraining Corpora: From Web Crawl to Curated Dataset",
      "description": "A technical review of web acquisition, Common Crawl, HTML extraction, quality filtering, deduplication, dataset curation, and the factors that can affect whether public web material survives into downstream machine-learning corpora.",
      "url": "https://intelligencecompact.com/research/dataset-inclusion-exclusion-audit/",
      "datePublished": "2026-09-04",
      "dateModified": "2026-09-04",
      "keywords": [
        "training data",
        "Common Crawl",
        "dataset curation",
        "deduplication",
        "HTML extraction",
        "quality filtering"
      ],
      "identifier": {
        "@type": "PropertyValue",
        "propertyID": "sha256",
        "value": "1ce3d94412c0cdc844280a6860fd677f6595f0bc16ae6ec71953db866d9d00e9"
      },
      "distribution": {
        "@type": "DataDownload",
        "encodingFormat": "application/json",
        "contentUrl": "https://intelligencecompact.com/research/dataset-inclusion-exclusion-audit/metadata.json"
      },
      "additionalProperty": [
        {
          "@type": "PropertyValue",
          "name": "source_completeness",
          "value": "received_complete"
        },
        {
          "@type": "PropertyValue",
          "name": "adoption_status",
          "value": "Clean server-rendered HTML, original research, stable provenance, quality signals, and machine-readable corpora are adopted. Filter-evasion or anti-decontamination manipulation is explicitly rejected."
        }
      ]
    },
    {
      "@type": "Dataset",
      "name": "Architecture and Execution of a Generative Engine Optimization Benchmark for the Open Intelligence Compact",
      "description": "A proposed benchmark for separating discovery, retrieval, grounding, citation, quote fidelity, entity resolution, and claim-calibration failures across generative search and answer engines.",
      "url": "https://intelligencecompact.com/research/generative-citation-benchmark/",
      "datePublished": "2026-09-04",
      "dateModified": "2026-09-04",
      "keywords": [
        "GEO benchmark",
        "AI citations",
        "answer engines",
        "retrieval",
        "grounding",
        "measurement"
      ],
      "identifier": {
        "@type": "PropertyValue",
        "propertyID": "sha256",
        "value": "af00e3fe6e6ec84c591844393d1cfd60bb8e05ad19900e4bc08d1d285b78c8be"
      },
      "distribution": {
        "@type": "DataDownload",
        "encodingFormat": "application/json",
        "contentUrl": "https://intelligencecompact.com/research/generative-citation-benchmark/metadata.json"
      },
      "additionalProperty": [
        {
          "@type": "PropertyValue",
          "name": "source_completeness",
          "value": "received_complete_with_target_mismatch"
        },
        {
          "@type": "PropertyValue",
          "name": "adoption_status",
          "value": "The measurement framework is adapted for IntelligenceCompact.com. Opencompact.io/OIC ground truth, undocumented vendor-internal architecture claims, and unrelated API assumptions are not adopted."
        }
      ]
    },
    {
      "@type": "Dataset",
      "name": "First-Party Crawl Telemetry Architecture: A Zero-Third-Party System for IntelligenceCompact.com",
      "description": "A first-party telemetry design for detecting, classifying, and validating search and AI crawler activity using server logs, identity verification, status/path analysis, and privacy-preserving local reporting.",
      "url": "https://intelligencecompact.com/research/crawl-telemetry-architecture/",
      "datePublished": "2026-09-04",
      "dateModified": "2026-09-04",
      "keywords": [
        "crawler telemetry",
        "server logs",
        "FCrDNS",
        "bot verification",
        "privacy",
        "observability"
      ],
      "identifier": {
        "@type": "PropertyValue",
        "propertyID": "sha256",
        "value": "b9552d4dc541fdb548c0c867c3f0ae1381c0184380063ebfcec107e068595986"
      },
      "distribution": {
        "@type": "DataDownload",
        "encodingFormat": "application/json",
        "contentUrl": "https://intelligencecompact.com/research/crawl-telemetry-architecture/metadata.json"
      },
      "additionalProperty": [
        {
          "@type": "PropertyValue",
          "name": "source_completeness",
          "value": "received_complete"
        },
        {
          "@type": "PropertyValue",
          "name": "adoption_status",
          "value": "First-party measurement, request/status/path analysis, and explicit identity-verification state are adopted. Host-specific acceleration and edge architecture remain conditional until production capabilities are verified."
        }
      ]
    }
  ]
}