{
 "@context": "https://schema.org",
 "@type": "Claim",
 "@id": "https://wulfkaal.github.io/positions/2026-07-31-3350",
 "identifier": "kaal:position:2026-07-31-3350",
 "additionalType": "https://wulfkaal.github.io/positions/schema.json#AffirmedPositionClaim",
 "name": "Historical C24Fb6A956B9857Bfc1F",
 "text": "VATS: Exploiting Implicit Authority in Error-Path Injection via Systematic Mutation should be assessed against Kaal's source-bound claim that Exchange based monitoring tools are not shown to counter sophisticated threats such as adversarial AI agents exploiting wallet vulnerabilities, and their feasibility for smaller exchanges is unevaluated, which limits their broader applicability. 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": [
  "ai-and-agents",
  "defi",
  "compliance"
 ],
 "scope_conditions": [
  "adversarial agents targeting wallet infrastructure",
  "smaller exchanges with fewer resources",
  "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": "VATS: Exploiting Implicit Authority in Error-Path Injection via Systematic Mutation",
  "url": "https://www.semanticscholar.org/paper/75aac5648bbe852990ade21c52179c7c129b5f7f"
 },
 "extends": {
  "identifier": "kaal:claim:5245185-014",
  "url": "https://wulfkaal.github.io/claims/5245185-014",
  "citation": "Wulf A. Kaal, How can we Best Monitor AI Agents (2025). SSRN: https://ssrn.com/abstract=5245185",
  "paper": "How can we Best Monitor AI Agents",
  "authors": [
   "Wulf A. Kaal"
  ],
  "year": "2025",
  "ssrn": "https://ssrn.com/abstract=5245185",
  "source_pdf_sha256": "4d7adba83ec722480e97bde6528cbe9ce98c709e45cb18794f157a64b8fe7da2"
 },
 "isBasedOn": [
  {
   "@id": "https://wulfkaal.github.io/claims/5245185-014"
  },
  {
   "@type": "CreativeWork",
   "name": "VATS: Exploiting Implicit Authority in Error-Path Injection via Systematic Mutation",
   "url": "https://www.semanticscholar.org/paper/75aac5648bbe852990ade21c52179c7c129b5f7f"
  }
 ],
 "batch_id": "historical-backfill:2026-07-31:phase-0014",
 "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/2026-07-31-3350",
 "canonicalForm": "https://wulfkaal.github.io/positions/2026-07-31-3350.md",
 "candidateId": "kaal:response-candidate:2026-07-31:e67438dad12b3963",
 "evidenceLevel": "abstract indexed",
 "reviewTier": "ambiguity triage before claim review",
 "mappingConfidence": 0.2303,
 "mappingAmbiguous": true,
 "mappingMethod": "idf-weighted multi-field mapping v1",
 "mappingWhyRelevant": "Shared high-information concepts: exploiting, agents, adversarial, compliance, vulnerabilities. Scope: adversarial agents targeting wallet infrastructure; smaller exchanges with fewer resources.",
 "sourceProvenance": {
  "source": "Semantic Scholar",
  "api": "https://api.semanticscholar.org/graph/v1/paper/search/bulk",
  "query": "model context protocol",
  "queryId": "concept:9c5da690faad",
  "page": 1,
  "sourceRank": 451,
  "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": "ac38343eb80208afb9d52a54011892afd2d3d4f555be873d8eac517adbb3e8aa"
}