{
 "@context": "https://schema.org",
 "@type": "DefinedTerm",
 "@id": "https://wulfkaal.github.io/entities/legal-precedent",
 "identifier": "kaal:entity:legal-precedent",
 "name": "Legal precedent",
 "termCode": "legal-precedent",
 "inDefinedTermSet": {
  "@id": "https://wulfkaal.github.io/entities/index.json"
 },
 "author": {
  "@type": "Person",
  "name": "Wulf A. Kaal",
  "identifier": "https://orcid.org/0000-0003-0757-275X"
 },
 "dateModified": "2026-07-29",
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 "sha256": "01bcf609172ba365e3f8060824ccd32873dacd4aec8dba62c728ba0bf800b09b",
 "additionalProperty": [
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   "name": "status",
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   "value": 2
  },
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   "value": 2
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   "name": "year_span",
   "value": [
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    "2024"
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 ],
 "subjectOf": [
  {
   "@type": "Claim",
   "@id": "https://wulfkaal.github.io/claims/4855607-022",
   "identifier": "kaal:claim:4855607-022",
   "text": "The acyclic property of WDAGs is load bearing for governance rather than incidental: because loops and cycles are impossible, the progression of governance rules stays unambiguous and the framework cannot accumulate redundancies and contradictions.",
   "abstract": "Their acyclic nature means that they do not allow for loops or cycles, which ensures that the progression of governance rules remains unambiguous, eliminating potential redundancies and contradictions within the governance framework.",
   "citation": "Wulf A. Kaal, How AI Models are Optimized Through Web3 Governance (2024). SSRN: https://ssrn.com/abstract=4855607",
   "datePublished": "2024",
   "claim_type": "mechanism",
   "confidence": "argued",
   "is_failure_mode": false,
   "scope_conditions": [
    "governance rule systems represented as directed acyclic graphs"
   ],
   "source_pdf_sha256": "eb0b3e62374b45a8fa888c6bde9725e606bcb46cf4b5e74a6e851d9f25099113",
   "status": "current"
  },
  {
   "@type": "Claim",
   "@id": "https://wulfkaal.github.io/claims/4941807-034",
   "identifier": "kaal:claim:4941807-034",
   "text": "A Weighted Directed Acyclic Graph whose vertices are legal precedents or governance rules and whose directed edges are citations or logical dependencies is the appropriate structure for organizing and navigating the many governance considerations that bear on AI.",
   "abstract": "The structure of WDAGs, with their vertices representing legal precedents or governance rules and directed edges signifying citations or logical dependencies, creates an ideal model for organizing and navigating the multitude of governance considerations pertinent to AI.",
   "citation": "Wulf A. Kaal, AI Governance Via Web3 Reputation System (2024). SSRN: https://ssrn.com/abstract=4941807",
   "datePublished": "2024",
   "claim_type": "design",
   "confidence": "argued",
   "is_failure_mode": false,
   "scope_conditions": [
    "where governance elements stand in directional precedence relations"
   ],
   "source_pdf_sha256": "ab66c1e99a88da1fa36b0c6b536df5184231fe6aa427f3dd53287a4e0ac79853",
   "status": "current"
  }
 ],
 "description": "2 claims in the published works of Wulf A. Kaal carry the concept tag 'legal-precedent'. Derived node: a roster, not an adjudicated definition."
}