{
 "@context": "https://schema.org",
 "@type": "Claim",
 "@id": "https://wulfkaal.github.io/positions/2026-08-08-185",
 "identifier": "kaal:position:2026-08-08-185",
 "additionalType": "https://wulfkaal.github.io/positions/schema.json#AffirmedPositionClaim",
 "name": "Streaming Cross Jurisdictional Compliance For Agentic Ai Systems 123Cb3F4E8",
 "text": "Cross-Jurisdictional Compliance for Agentic AI Systems argues that cross-jurisdictional compliance fails when regulatory responsibility allocations do not align with the technical stack, so satisfying one stringent regime is insufficient. This independently agrees with Kaal's claim that one compliance design cannot scale across divergent jurisdictions. The abstract concerns agentic-AI responsibility in four anchor jurisdictions and does not establish the same rule for every LER deployment.",
 "author": {
  "@type": "Person",
  "name": "Wulf A. Kaal",
  "identifier": "https://orcid.org/0009-0008-7840-1847"
 },
 "datePublished": "2026-08-08",
 "dateModified": "2026-08-08",
 "creativeWorkStatus": "Affirmed",
 "responseType": "agreement",
 "keywords": [
  "law-and-legal-systems",
  "compliance",
  "risk-and-incentives",
  "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: substantively reviewed abstract-level agreement.",
  "Primary mapping confidence: 0.62.",
  "The primary mapping cleared the automated ambiguity test; substantive scope remains review-bound.",
  "Evidence is limited to an exact proposition in a Crossref-indexed abstract; full text was not reviewed.",
  "No relationship is treated as external endorsement, citation, causation, or validation of a broader Kaal claim.",
  "The source argues that cross-jurisdictional agentic-AI compliance fails when responsibility allocations do not align with the technical stack, so satisfying one stringent regime is insufficient. This independently agrees with Kaal's mechanism that one compliance design cannot scale across divergent jurisdictions, while the proposition concerns agentic-AI responsibility in four anchor jurisdictions and does not establish the same rule for every LER deployment."
 ],
 "currentDebate": {
  "name": "Cross-Jurisdictional Compliance for Agentic AI Systems",
  "url": "https://doi.org/10.2139/ssrn.6822138"
 },
 "extends": {
  "identifier": "kaal:claim:5454054-039",
  "url": "https://wulfkaal.github.io/claims/5454054-039",
  "citation": "Wulf A. Kaal, Liquid Equity Rewards (2025). SSRN: https://ssrn.com/abstract=5454054",
  "paper": "Wulf A. Kaal, Liquid Equity Rewards",
  "authors": [
   "Wulf A. Kaal"
  ],
  "year": "2025",
  "ssrn": "https://ssrn.com/abstract=5454054",
  "source_pdf_sha256": "9f53a865e6f0e5424640779df8f9b50923cd7d05649301dd4cc727144749b6e6"
 },
 "isBasedOn": [
  {
   "@id": "https://wulfkaal.github.io/claims/5454054-039"
  },
  {
   "@type": "CreativeWork",
   "name": "Cross-Jurisdictional Compliance for Agentic AI Systems",
   "url": "https://doi.org/10.2139/ssrn.6822138"
  }
 ],
 "batch_id": "kaal-review:2026-08-08:continuous-crossref-0016-all-0007-reviewed-v1",
 "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/2026-08-08-185",
 "canonicalForm": "https://wulfkaal.github.io/positions/2026-08-08-185.md",
 "candidateId": "kaal:response-draft:2026-08-08:251dcb709f44877074f9",
 "evidenceLevel": "abstract indexed",
 "reviewTier": "substantively reviewed abstract-level agreement",
 "mappingConfidence": 0.62,
 "mappingAmbiguous": false,
 "mappingMethod": "complete-corpus source-proposition mechanism and scope adjudication",
 "mappingWhyRelevant": "The source argues that cross-jurisdictional agentic-AI compliance fails when responsibility allocations do not align with the technical stack, so satisfying one stringent regime is insufficient. This independently agrees with Kaal's mechanism that one compliance design cannot scale across divergent jurisdictions, while the proposition concerns agentic-AI responsibility in four anchor jurisdictions and does not establish the same rule for every LER deployment.",
 "sourceProvenance": {
  "source": "crossref",
  "sourceRecordId": "10.2139/ssrn.6822138",
  "queryId": "concept:cff87b653032",
  "queryText": "agentic commerce",
  "canonicalUrl": "https://doi.org/10.2139/ssrn.6822138",
  "doi": "10.2139/ssrn.6822138",
  "externalIds": {
   "DOI": "10.2139/ssrn.6822138",
   "Crossref": "10.2139/ssrn.6822138"
  },
  "retrievedAt": "2026-08-09T13:13:37.411Z",
  "providerPage": 1,
  "rawObservationSha256": "0203b30efe0b78cc948a9c6851e6ebfefd412a1144039da0ea7185b7fc90c287",
  "inputSnapshotSha256": "a48432bb7fc3eca7314e30bcfdc9ddb3c968d9da4caa74dce55ad51e15a1ec9a",
  "inputLine": 7730,
  "chunkId": "crossref-00001",
  "workId": "work:doi:10.2139/ssrn.6822138",
  "workAuthors": [
   "Rizwan Tanveer"
  ],
  "workPublishedAt": "2026-01-01",
  "identityKeys": [
   "doi:10.2139/ssrn.6822138",
   "crossref:10.2139/ssrn.6822138",
   "url:https://doi.org/10.2139/ssrn.6822138",
   "title:f7d41986d60e5572965b077e",
   "proposition:3b1cf6a8100d3ef390b60e060c6572adbe360e0158f00d3dccee603c6953acdb"
  ],
  "sourceProposition": "It advances the argument that the central compliance problem is not the stringency of any single regime but the misalignment between regulatory responsibility axes and the technical architecture of agentic systems, a misalignment that compounds under cross-jurisdictional operation.</p> <p><span>Approach.",
  "sourcePropositionSha256": "83fbb03798a9b8b7f1a77083e2eecb02e5ec9d88ed507f96730de85cb83324d9",
  "sourcePropositionIndex": 0,
  "claimMappings": [
   {
    "claimId": "kaal:claim:5454054-039",
    "claimUrl": "https://wulfkaal.github.io/claims/5454054-039",
    "rank": 1,
    "confidence": 0.62,
    "method": "complete-corpus source-proposition mechanism and scope adjudication",
    "whyRelevant": "The source argues that cross-jurisdictional agentic-AI compliance fails when responsibility allocations do not align with the technical stack, so satisfying one stringent regime is insufficient. This independently agrees with Kaal's mechanism that one compliance design cannot scale across divergent jurisdictions, while the proposition concerns agentic-AI responsibility in four anchor jurisdictions and does not establish the same rule for every LER deployment.",
    "ambiguous": false
   }
  ],
  "substantiveReview": {
   "disposition": "retained",
   "reviewVersion": "kaal-continuous-crossref-substantive-review-v1",
   "reviewedAt": "2026-08-10T00:21:58.476Z",
   "reviewer": "Codex continuous substantive reviewer",
   "rationale": "The source argues that cross-jurisdictional agentic-AI compliance fails when responsibility allocations do not align with the technical stack, so satisfying one stringent regime is insufficient. This independently agrees with Kaal's mechanism that one compliance design cannot scale across divergent jurisdictions, while the proposition concerns agentic-AI responsibility in four anchor jurisdictions and does not establish the same rule for every LER deployment.",
   "limitations": [
    "Evidence is limited to an exact proposition in a Crossref-indexed abstract; full text was not reviewed.",
    "No relationship is treated as external endorsement, citation, causation, or validation of a broader Kaal claim.",
    "The source argues that cross-jurisdictional agentic-AI compliance fails when responsibility allocations do not align with the technical stack, so satisfying one stringent regime is insufficient. This independently agrees with Kaal's mechanism that one compliance design cannot scale across divergent jurisdictions, while the proposition concerns agentic-AI responsibility in four anchor jurisdictions and does not establish the same rule for every LER deployment."
   ],
   "sourceIdentity": {
    "status": "verified",
    "source": "Crossref REST work record",
    "doi": "10.2139/ssrn.6822138",
    "title": "Cross-Jurisdictional Compliance for Agentic AI Systems",
    "authors": [
     "Rizwan Tanveer"
    ],
    "language": "unavailable",
    "publisher": "Elsevier BV",
    "checkedAt": "2026-08-10T00:21:58.476Z",
    "responseBodySha256": "858a5fa7534fea8d1c732047f0b668618349ae699962852c1db183060679e3df",
    "providerReceipt": {
     "path": "outputs/historical-backfill-2026-08-08-crossref/raw-receipts/crossref-016-00001.json",
     "sha256": "7599a5e75fb48a69ca7a5bb3074aed79cccbcd4aa6595b4042dcec6a7eddad00",
     "byteLength": 2485401
    }
   },
   "independentRationale": "The exact proposition is present in the live Crossref abstract and the deposited reference list contains no Kaal-authored reference; the relationship is limited to the independently stated proposition.",
   "nonOverlap": {
    "candidateIdMatches": 0,
    "canonicalUrlMatches": 0,
    "propositionHashMatches": 0
   }
  }
 },
 "userAffirmation": "Automatically authorized under standing authority receipt kaal-standing-publication-authorization:2026-08-01:hourly-reviewed-batches, SHA-256 e2126054b58bb4e88db65c334ef4fc8ae78dcaadc63543c408133c4eefceb9b1, limited to this substantively reviewed batch and the unchanged 5,033 scholarly claims.",
 "sha256": "6b840ec42a78d31f8bdafdfd970f9e9ab881b4d7c31aa15b18378f502a56cb99"
}