{
 "@context": "https://schema.org",
 "@type": "Claim",
 "@id": "https://wulfkaal.github.io/positions/2026-07-31-7154",
 "identifier": "kaal:position:2026-07-31-7154",
 "additionalType": "https://wulfkaal.github.io/positions/schema.json#AffirmedPositionClaim",
 "name": "Streaming Contract Gated Execution A Deterministic Governance Layer For Autonomous B3Ab930B75",
 "text": "Contract-Gated Execution: A Deterministic Governance Layer for Autonomous AI Agent Orchestration presents the following source proposition: Government procurement officers, compliance auditors, regulatory reviewers, and public administrators are the intended adopters of this framework-any agency deploying autonomous AI agents in consequential decision-making would benefit from the deterministic governance properties described below. This proposition is pertinent to Kaal's source-bound claim that Taken together, the transparency, decentralized decision making, and automated real time response properties of the proposed model make decentralized governance superior to AI driven supervision for secure, compliant, and efficient execution of AI agent transactions. The proposed response is an extension: the relationship should remain limited to the retrieved source proposition and the mapped Kaal claim unless fuller source review supports a broader conclusion.",
 "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": "extension",
 "keywords": [
  "decentralization",
  "governance-design",
  "ai-and-agents",
  "compliance",
  "historical-response",
  "scholarly-literature",
  "crossref"
 ],
 "scope_conditions": [
  "The response is limited to the retrieved source proposition and mapped Kaal claim unless fuller source review supports a broader conclusion.",
  "External evidence level: abstract indexed.",
  "Mapping review tier: moderate-confidence claim review.",
  "Primary mapping confidence: 0.3972.",
  "The source-to-claim mapping remains explicitly ambiguous and is published with that limitation."
 ],
 "currentDebate": {
  "name": "Contract-Gated Execution: A Deterministic Governance Layer for Autonomous AI Agent Orchestration",
  "url": "https://doi.org/10.2139/ssrn.6339941"
 },
 "extends": {
  "identifier": "kaal:claim:5245185-039",
  "url": "https://wulfkaal.github.io/claims/5245185-039",
  "citation": "Wulf A. Kaal, How can we Best Monitor AI Agents (2025). SSRN: https://ssrn.com/abstract=5245185",
  "paper": "Wulf A. Kaal, 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/5245185-039"
  },
  {
   "@type": "CreativeWork",
   "name": "Contract-Gated Execution: A Deterministic Governance Layer for Autonomous AI Agent Orchestration",
   "url": "https://doi.org/10.2139/ssrn.6339941"
  }
 ],
 "batch_id": "kaal-review:2026-07-31:streaming-etl-0008",
 "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/2026-07-31-7154",
 "canonicalForm": "https://wulfkaal.github.io/positions/2026-07-31-7154.md",
 "candidateId": "kaal:response-draft:2026-07-31:66f93dba16cf2f5ef7a8",
 "evidenceLevel": "abstract indexed",
 "reviewTier": "moderate-confidence claim review",
 "mappingConfidence": 0.3972,
 "mappingAmbiguous": true,
 "mappingMethod": "idf-weighted multi-field mapping v1",
 "mappingWhyRelevant": "Shared high-information concepts: execution, governance, agent, compliance, agents, decision, making, properties. Scope: monitoring of AI agent transaction execution in modern digital infrastructures.",
 "sourceProvenance": {
  "source": "crossref",
  "sourceRecordId": "10.2139/ssrn.6339941",
  "queryId": "concept:b5ce5d92d4b5",
  "queryText": "AI agent governance",
  "canonicalUrl": "https://doi.org/10.2139/ssrn.6339941",
  "doi": "10.2139/ssrn.6339941",
  "externalIds": {
   "DOI": "10.2139/ssrn.6339941",
   "Crossref": "10.2139/ssrn.6339941"
  },
  "retrievedAt": "2026-07-31T20:33:40.714Z",
  "providerPage": 1,
  "rawObservationSha256": "ca8331b0be0f1a30559ff62b31daf3e19f7121198dbc67f0c8762142b1a9eec6",
  "inputSnapshotSha256": "95f3c3e1638ca36a1683b7a07036b5ed8191ad7a1549b24a5ebff941a468f5ce",
  "inputLine": 9,
  "chunkId": "crossref-00001",
  "workId": "work:doi:10.2139/ssrn.6339941",
  "workAuthors": [
   "Robert Stillwell"
  ],
  "workPublishedAt": "2026-01-01",
  "identityKeys": [
   "doi:10.2139/ssrn.6339941",
   "crossref:10.2139/ssrn.6339941",
   "url:https://doi.org/10.2139/ssrn.6339941",
   "title:2f955a51c7feea384047ec7e",
   "proposition:c99080685bfaa2d55940746de710620984720ffcfafc7cacd94570a361838bf3"
  ],
  "sourceProposition": "Government procurement officers, compliance auditors, regulatory reviewers, and public administrators are the intended adopters of this framework-any agency deploying autonomous AI agents in consequential decision-making would benefit from the deterministic governance properties described below.",
  "sourcePropositionSha256": "a336c52ebd699fe51066e2a28f808d3a445b2b37846ec1c8cc8e5a10c59a90bd",
  "sourcePropositionIndex": 2,
  "claimMappings": [
   {
    "claimId": "kaal:claim:5245185-039",
    "claimUrl": "https://wulfkaal.github.io/claims/5245185-039",
    "rank": 1,
    "confidence": 0.3972,
    "method": "idf-weighted multi-field mapping v1",
    "whyRelevant": "Shared high-information concepts: execution, governance, agent, compliance, agents, decision, making, properties. Scope: monitoring of AI agent transaction execution in modern digital infrastructures.",
    "ambiguous": true
   },
   {
    "claimId": "kaal:claim:3373393-003",
    "claimUrl": "https://wulfkaal.github.io/claims/3373393-003",
    "rank": 2,
    "confidence": 0.3239,
    "method": "idf-weighted multi-field mapping v1",
    "whyRelevant": "Shared high-information concepts: governance, agent, compliance, framework, agency, agents. Scope: under the existing theoretical and legal framework for corporate governance.",
    "ambiguous": true
   },
   {
    "claimId": "kaal:claim:1558614-018",
    "claimUrl": "https://wulfkaal.github.io/claims/1558614-018",
    "rank": 3,
    "confidence": 0.3233,
    "method": "idf-weighted multi-field mapping v1",
    "whyRelevant": "Shared high-information concepts: governance, officers, compliance, decision, making. Scope: corporations large enough to trigger employee representation on the supervisory board; employee representatives may also carry union political objectives.",
    "ambiguous": true
   },
   {
    "claimId": "kaal:claim:1428387-024",
    "claimUrl": "https://wulfkaal.github.io/claims/1428387-024",
    "rank": 4,
    "confidence": 0.3038,
    "method": "idf-weighted multi-field mapping v1",
    "whyRelevant": "Shared high-information concepts: governance, agent, compliance, agency, agents. Scope: under the issuer-pays rating model for CDOs.",
    "ambiguous": true
   },
   {
    "claimId": "kaal:claim:3373393-027",
    "claimUrl": "https://wulfkaal.github.io/claims/3373393-027",
    "rank": 5,
    "confidence": 0.299,
    "method": "idf-weighted multi-field mapping v1",
    "whyRelevant": "Shared high-information concepts: governance, agent, compliance, agency, agents. Scope: review source claim scope.",
    "ambiguous": true
   }
  ]
 },
 "userAffirmation": "I affirm batch kaal-review:2026-07-31:streaming-etl-0008, SHA-256 469be3af77a43b8a86f52c2e8253882abdefc7a0da53c392329c3cb8a11e8160, as written and authorize publication of all 250 response claims on my canonical property, preserving their evidence levels, ambiguity labels, provenance, and the unchanged 5,033 scholarly claims.",
 "sha256": "c36298a31642b609ada59ed08920b6bbed5ca39ce14364928c733f7d3b8b84f6"
}
