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 "@context": "https://schema.org",
 "@type": "Claim",
 "@id": "https://wulfkaal.github.io/positions/2026-07-31-4515",
 "identifier": "kaal:position:2026-07-31-4515",
 "additionalType": "https://wulfkaal.github.io/positions/schema.json#AffirmedPositionClaim",
 "name": "Historical 82C94F9335Bfa796B8D3",
 "text": "SS-ZKR: Spatial-Semantic Zero-Knowledge Routing for Privacy-Preserving Multi-Agent Collaboration should be assessed against Kaal's source-bound claim that Treating each AI model as a post within the WDAG framework lets stakeholders build a comprehensive and visually intuitive map of how well that model aligns with the governance frameworks it is required to meet. The current metadata indicates a plausible connection through model context protocol, but the defensible response is a qualification until the source text confirms agreement, scope, methods, and limitations.",
 "author": {
  "@type": "Person",
  "name": "Wulf A. Kaal",
  "identifier": "https://orcid.org/0009-0008-7840-1847"
 },
 "datePublished": "2026-07-31",
 "dateModified": "2026-07-31",
 "creativeWorkStatus": "Affirmed",
 "responseType": "qualification",
 "keywords": [
  "governance-design",
  "ai-and-agents",
  "law-and-legal-systems",
  "compliance"
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  "where each AI model or development milestone is documented as a post with edges to relevant precedents",
  "External evidence level: abstract indexed.",
  "Mapping review tier: ambiguity triage before claim review.",
  "The literature-to-claim mapping remains explicitly ambiguous and should not be treated as a settled equivalence."
 ],
 "currentDebate": {
  "name": "SS-ZKR: Spatial-Semantic Zero-Knowledge Routing for Privacy-Preserving Multi-Agent Collaboration",
  "url": "https://www.semanticscholar.org/paper/c3c8be05b949332d1a476d6995d3b5c8b0ea45bf"
 },
 "extends": {
  "identifier": "kaal:claim:4941807-040",
  "url": "https://wulfkaal.github.io/claims/4941807-040",
  "citation": "Wulf A. Kaal, AI Governance Via Web3 Reputation System (2024). SSRN: https://ssrn.com/abstract=4941807",
  "paper": "AI Governance Via Web3 Reputation System",
  "authors": [
   "Wulf A. Kaal"
  ],
  "year": "2024",
  "ssrn": "https://ssrn.com/abstract=4941807",
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 },
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  {
   "@id": "https://wulfkaal.github.io/claims/4941807-040"
  },
  {
   "@type": "CreativeWork",
   "name": "SS-ZKR: Spatial-Semantic Zero-Knowledge Routing for Privacy-Preserving Multi-Agent Collaboration",
   "url": "https://www.semanticscholar.org/paper/c3c8be05b949332d1a476d6995d3b5c8b0ea45bf"
  }
 ],
 "batch_id": "historical-backfill:2026-07-31:phase-0019",
 "review_provenance": "https://kaal-signal-desk.wulf577462.chatgpt.site/#review",
 "publicationStatus": "public",
 "recordTypeNote": "Dated commentary position extending a scholarly corpus claim. Not a verbatim claim extracted from the paper.",
 "isPartOf": {
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 },
 "version": "1.0",
 "canonical_url": "https://wulfkaal.github.io/positions/2026-07-31-4515",
 "canonicalForm": "https://wulfkaal.github.io/positions/2026-07-31-4515.md",
 "candidateId": "kaal:response-candidate:2026-07-31:66c89a466d775ffc",
 "evidenceLevel": "abstract indexed",
 "reviewTier": "ambiguity triage before claim review",
 "mappingConfidence": 0.2175,
 "mappingAmbiguous": true,
 "mappingMethod": "idf-weighted multi-field mapping v1",
 "mappingWhyRelevant": "Shared high-information concepts: frameworks, compliance, via, visually, lets, agents. Scope: where each AI model or development milestone is documented as a post with edges to relevant precedents.",
 "sourceProvenance": {
  "source": "Semantic Scholar",
  "api": "https://api.semanticscholar.org/graph/v1/paper/search/bulk",
  "query": "model context protocol",
  "queryId": "concept:9c5da690faad",
  "page": 1,
  "sourceRank": 770,
  "retrievedAt": "2026-07-31T13:58:04.059Z",
  "citationCount": 0,
  "venue": null,
  "publicationTypes": []
 },
 "userAffirmation": "Approved as written by Wulf A. Kaal on 2026-07-31.",
 "sha256": "f62c0fa0fd309385c67db14a9f96f3406a9db55423f0e23a8f033fa576d8b90f"
}