{
 "@context": "https://schema.org",
 "@type": "Claim",
 "@id": "https://wulfkaal.github.io/positions/2026-07-31-5378",
 "identifier": "kaal:position:2026-07-31-5378",
 "additionalType": "https://wulfkaal.github.io/positions/schema.json#AffirmedPositionClaim",
 "name": "Historical 45A2B7Afadb6B95E5F13",
 "text": "ADR: An Agentic Detection System for Enterprise Agentic AI Security should be assessed against Kaal's source-bound claim that Assuming all agents are active underwriters, the DAO's rules can be designed so that the proportion of policies an agent writes in the long run is commensurate with that agent's proportion of token holdings. 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": [
  "dao",
  "governance-design",
  "defi",
  "tokenomics"
 ],
 "scope_conditions": [
  "all agents are active underwriters",
  "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": "ADR: An Agentic Detection System for Enterprise Agentic AI Security",
  "url": "https://www.semanticscholar.org/paper/88a318366363c2d6ecd6e9e05397b9f649ae4e4c"
 },
 "extends": {
  "identifier": "kaal:claim:3396542-036",
  "url": "https://wulfkaal.github.io/claims/3396542-036",
  "citation": "Craig Calcaterra, Wulf A. Kaal, Vadhindran K. Rao, Decentralized Underwriting (2019). SSRN: https://ssrn.com/abstract=3396542",
  "paper": "Wulf A. Kaal, Vadhindran K. Rao, Decentralized Underwriting",
  "authors": [
   "Wulf A. Kaal"
  ],
  "year": "2019",
  "ssrn": "https://ssrn.com/abstract=3396542",
  "source_pdf_sha256": "ce2bda03a0b788ea3e7747f02c3c351ef7c808a41150d5cda34767bbe98800c0"
 },
 "isBasedOn": [
  {
   "@id": "https://wulfkaal.github.io/claims/3396542-036"
  },
  {
   "@type": "CreativeWork",
   "name": "ADR: An Agentic Detection System for Enterprise Agentic AI Security",
   "url": "https://www.semanticscholar.org/paper/88a318366363c2d6ecd6e9e05397b9f649ae4e4c"
  }
 ],
 "batch_id": "historical-backfill:2026-07-31:phase-0022",
 "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": {
  "@id": "https://wulfkaal.github.io/positions/index.json"
 },
 "version": "1.0",
 "canonical_url": "https://wulfkaal.github.io/positions/2026-07-31-5378",
 "canonicalForm": "https://wulfkaal.github.io/positions/2026-07-31-5378.md",
 "candidateId": "kaal:response-candidate:2026-07-31:1c80ad039a7eaed3",
 "evidenceLevel": "abstract indexed",
 "reviewTier": "ambiguity triage before claim review",
 "mappingConfidence": 0.2071,
 "mappingAmbiguous": true,
 "mappingMethod": "idf-weighted multi-field mapping v1",
 "mappingWhyRelevant": "Shared high-information concepts: agents, writes, agent, rules, all. Scope: all agents are active underwriters.",
 "sourceProvenance": {
  "source": "Semantic Scholar",
  "api": "https://api.semanticscholar.org/graph/v1/paper/search/bulk",
  "query": "model context protocol",
  "queryId": "concept:9c5da690faad",
  "page": 1,
  "sourceRank": 519,
  "retrievedAt": "2026-07-31T13:58:04.059Z",
  "citationCount": 0,
  "venue": "arXiv.org",
  "publicationTypes": [
   "JournalArticle"
  ]
 },
 "userAffirmation": "Approved as written by Wulf A. Kaal on 2026-07-31.",
 "sha256": "dccf32b66cf8490d3fdbad070043c969a1c17ea72e1d9fb2e369003aaa553e67"
}
