{
 "@context": "https://schema.org",
 "@type": "Claim",
 "@id": "https://wulfkaal.github.io/positions/2026-08-08-147",
 "identifier": "kaal:position:2026-08-08-147",
 "additionalType": "https://wulfkaal.github.io/positions/schema.json#AffirmedPositionClaim",
 "name": "Streaming Algorithmic Reputation Equivalence Are A Methodology For Developing Ai Decision  Bcea8B299B",
 "text": "Algorithmic Reputation Equivalence reports that high human-perception reputation scores do not predict high AI decision-stage reputation scores and treats the two instruments as measuring categorically distinct phenomena. This provides a separate AI-facing example of why a single undifferentiated reputation measure can lose material information, extending Kaal's multidimensional-reputation requirement. It does not validate the WDAG design or transfer the brand-purchase result to dataset quality.",
 "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": "extension",
 "keywords": [
  "reputation",
  "governance-design",
  "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 extension.",
  "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 reports that high human-perception reputation scores do not predict high AI decision-stage reputation scores and treats the two instruments as measuring categorically distinct phenomena. This supplies a separate AI-facing setting in which a single undifferentiated reputation measure loses material information, extending Kaal's requirement for multidimensional reputation in AI dataset governance; it does not validate the WDAG design or transfer the brand-purchase result to dataset quality."
 ],
 "currentDebate": {
  "name": "Algorithmic Reputation Equivalence (ARE): A Methodology for Developing AI Decision-Stage Equivalents of Human Brand Reputation Measurement Frameworks",
  "url": "https://doi.org/10.2139/ssrn.6887738"
 },
 "extends": {
  "identifier": "kaal:claim:5095633-033",
  "url": "https://wulfkaal.github.io/claims/5095633-033",
  "citation": "Wulf A. Kaal, Artificial Intelligence The Final Frontier (2025). SSRN: https://ssrn.com/abstract=5095633",
  "paper": "Wulf A. Kaal, Artificial Intelligence The Final Frontier",
  "authors": [
   "Wulf A. Kaal"
  ],
  "year": "2025",
  "ssrn": "https://ssrn.com/abstract=5095633",
  "source_pdf_sha256": "cbb484711f89bcefc9fc6a5730a1ed0a3f764d7999ad9b6f7d8ea05634c26c63"
 },
 "isBasedOn": [
  {
   "@id": "https://wulfkaal.github.io/claims/5095633-033"
  },
  {
   "@type": "CreativeWork",
   "name": "Algorithmic Reputation Equivalence (ARE): A Methodology for Developing AI Decision-Stage Equivalents of Human Brand Reputation Measurement Frameworks",
   "url": "https://doi.org/10.2139/ssrn.6887738"
  }
 ],
 "batch_id": "kaal-review:2026-08-08:continuous-crossref-0015-oldest-0050-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/2026-08-08-147",
 "canonicalForm": "https://wulfkaal.github.io/positions/2026-08-08-147.md",
 "candidateId": "kaal:response-draft:2026-08-08:157f3d642d370de53a14",
 "evidenceLevel": "abstract indexed",
 "reviewTier": "substantively reviewed abstract-level extension",
 "mappingConfidence": 0.62,
 "mappingAmbiguous": false,
 "mappingMethod": "complete-corpus source-proposition mechanism and scope adjudication",
 "mappingWhyRelevant": "The source reports that high human-perception reputation scores do not predict high AI decision-stage reputation scores and treats the two instruments as measuring categorically distinct phenomena. This supplies a separate AI-facing setting in which a single undifferentiated reputation measure loses material information, extending Kaal's requirement for multidimensional reputation in AI dataset governance; it does not validate the WDAG design or transfer the brand-purchase result to dataset quality.",
 "sourceProvenance": {
  "source": "crossref",
  "sourceRecordId": "10.2139/ssrn.6887738",
  "queryId": "concept:8542e1d4a2a4",
  "queryText": "AI agent reputation",
  "canonicalUrl": "https://doi.org/10.2139/ssrn.6887738",
  "doi": "10.2139/ssrn.6887738",
  "externalIds": {
   "DOI": "10.2139/ssrn.6887738",
   "Crossref": "10.2139/ssrn.6887738"
  },
  "retrievedAt": "2026-08-09T12:14:24.778Z",
  "providerPage": 1,
  "rawObservationSha256": "87faece9a37501e92a2ebaf318bf9ae191623b6cc7e30d17417258fb023e14db",
  "inputSnapshotSha256": "2bab6ae028a03ca5d076ff5417f551f5a465ee2a375e93a2a8bec6487701f61b",
  "inputLine": 7011,
  "chunkId": "crossref-00001",
  "workId": "work:doi:10.2139/ssrn.6887738",
  "workAuthors": [
   "Timothy de Rosen"
  ],
  "workPublishedAt": "2026-01-01",
  "identityKeys": [
   "doi:10.2139/ssrn.6887738",
   "crossref:10.2139/ssrn.6887738",
   "url:https://doi.org/10.2139/ssrn.6887738",
   "title:18b487aff9f08a5aa506e249",
   "proposition:5c5b84ac5a296a778d377283e668f99e36a37e0df5636daa168a844f7f1a514b"
  ],
  "sourceProposition": "We demonstrate that high human reputation scores do not predict high AI decision reputation scores, that the two instruments capture categorically distinct phenomena, and that the gap between them constitutes a commercially significant and currently unmeasured risk.",
  "sourcePropositionSha256": "a98f450f6026c0ed95edcd18a26c09c7152b78f00598495bdbaf886091931ecd",
  "sourcePropositionIndex": 2,
  "claimMappings": [
   {
    "claimId": "kaal:claim:5095633-033",
    "claimUrl": "https://wulfkaal.github.io/claims/5095633-033",
    "rank": 1,
    "confidence": 0.62,
    "method": "complete-corpus source-proposition mechanism and scope adjudication",
    "whyRelevant": "The source reports that high human-perception reputation scores do not predict high AI decision-stage reputation scores and treats the two instruments as measuring categorically distinct phenomena. This supplies a separate AI-facing setting in which a single undifferentiated reputation measure loses material information, extending Kaal's requirement for multidimensional reputation in AI dataset governance; it does not validate the WDAG design or transfer the brand-purchase result to dataset quality.",
    "ambiguous": false
   }
  ],
  "substantiveReview": {
   "disposition": "retained",
   "reviewVersion": "kaal-continuous-crossref-substantive-review-v1",
   "reviewedAt": "2026-08-09T19:22:02.472Z",
   "reviewer": "Codex continuous substantive reviewer",
   "rationale": "The source reports that high human-perception reputation scores do not predict high AI decision-stage reputation scores and treats the two instruments as measuring categorically distinct phenomena. This supplies a separate AI-facing setting in which a single undifferentiated reputation measure loses material information, extending Kaal's requirement for multidimensional reputation in AI dataset governance; it does not validate the WDAG design or transfer the brand-purchase result to dataset quality.",
   "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 reports that high human-perception reputation scores do not predict high AI decision-stage reputation scores and treats the two instruments as measuring categorically distinct phenomena. This supplies a separate AI-facing setting in which a single undifferentiated reputation measure loses material information, extending Kaal's requirement for multidimensional reputation in AI dataset governance; it does not validate the WDAG design or transfer the brand-purchase result to dataset quality."
   ],
   "sourceIdentity": {
    "status": "verified",
    "source": "Crossref REST work record",
    "doi": "10.2139/ssrn.6887738",
    "title": "Algorithmic Reputation Equivalence (ARE): A Methodology for Developing AI Decision-Stage Equivalents of Human Brand Reputation Measurement Frameworks",
    "authors": [
     "Timothy de Rosen"
    ],
    "language": "unavailable",
    "publisher": "Elsevier BV",
    "checkedAt": "2026-08-09T19:22:02.472Z",
    "responseBodySha256": "de36e76ec17a8c49557b1fea1a947548ee756bc5a90ffafd6381e3c22e4d67b0",
    "providerReceipt": {
     "path": "outputs/historical-backfill-2026-08-08-crossref/raw-receipts/crossref-015-00001.json",
     "sha256": "77d874f2fd7fd9cb6ec31b6bf0fdd667ff7b7cbff6877eba58760481ebef6fac",
     "byteLength": 1525669
    }
   },
   "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": "9644d9381a6008cd005893f99f80365e14d159c3a227e3d2e06054b1efca5c55"
}