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 "@id": "https://wulfkaal.github.io/positions/2026-07-31-7690",
 "identifier": "kaal:position:2026-07-31-7690",
 "additionalType": "https://wulfkaal.github.io/positions/schema.json#AffirmedPositionClaim",
 "name": "Streaming Autonomous Qa Agent A Retrieval Augmented Framework For Reliable Seleniu C6E5B98Ca3",
 "text": "Autonomous QA Agent: A Retrieval-Augmented Framework for Reliable Selenium Script Generation presents the following source proposition: While Large Language Models (LLMs) can generate code, they often hallucinate non-existent UI elements. This proposition is pertinent to Kaal's source-bound claim that Retrieval-augmented generation reduces but does not eliminate hallucination: leading legal research tools including Lexis+AI and Westlaw AI-Assisted Research still generate false citations or facts in 17 to 33 percent of cases. 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": [
  "law-and-legal-systems",
  "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: 0.3537.",
  "The source-to-claim mapping remains explicitly ambiguous and is published with that limitation."
 ],
 "currentDebate": {
  "name": "Autonomous QA Agent: A Retrieval-Augmented Framework for Reliable Selenium Script Generation",
  "url": "https://doi.org/10.31224/5891"
 },
 "extends": {
  "identifier": "kaal:claim:5541658-007",
  "url": "https://wulfkaal.github.io/claims/5541658-007",
  "citation": "Wulf A. Kaal, Morgan A. Gray, The Evolving Role of Artificial Intelligence in Law (2025). SSRN: https://ssrn.com/abstract=5541658",
  "paper": "Wulf A. Kaal, Morgan A. Gray, The Evolving Role of Artificial Intelligence in Law",
  "authors": [
   "Wulf A. Kaal"
  ],
  "year": "2025",
  "ssrn": "https://ssrn.com/abstract=5541658",
  "source_pdf_sha256": "e543a2d698fcd522d4d02e034cc9ee1344d0015d2c824b40b9e05ab7c0728c60"
 },
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   "@id": "https://wulfkaal.github.io/claims/5541658-007"
  },
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   "@type": "CreativeWork",
   "name": "Autonomous QA Agent: A Retrieval-Augmented Framework for Reliable Selenium Script Generation",
   "url": "https://doi.org/10.31224/5891"
  }
 ],
 "batch_id": "kaal-review:2026-07-31:streaming-etl-0010",
 "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.",
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 "canonical_url": "https://wulfkaal.github.io/positions/2026-07-31-7690",
 "canonicalForm": "https://wulfkaal.github.io/positions/2026-07-31-7690.md",
 "candidateId": "kaal:response-draft:2026-07-31:b41b0f9a5a59513ca47f",
 "evidenceLevel": "abstract indexed",
 "reviewTier": "moderate-confidence claim review",
 "mappingConfidence": 0.3537,
 "mappingAmbiguous": true,
 "mappingMethod": "idf-weighted multi-field mapping v1",
 "mappingWhyRelevant": "Shared high-information concepts: retrieval, augmented, generation, generate, hallucinate. Scope: RAG-based commercial legal research platforms; as measured at the time of the cited study; the authors note rates are progressively improving.",
 "sourceProvenance": {
  "source": "crossref",
  "sourceRecordId": "10.31224/5891",
  "queryId": "concept:a2c487c0792c",
  "queryText": "autonomous agent accountability",
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  "doi": "10.31224/5891",
  "externalIds": {
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   "Crossref": "10.31224/5891"
  },
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  "workId": "work:doi:10.31224/5891",
  "workAuthors": [
   "Dudekula Kasim Vali"
  ],
  "workPublishedAt": "2025-12-01",
  "identityKeys": [
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    "claimUrl": "https://wulfkaal.github.io/claims/5541658-007",
    "rank": 1,
    "confidence": 0.3537,
    "method": "idf-weighted multi-field mapping v1",
    "whyRelevant": "Shared high-information concepts: retrieval, augmented, generation, generate, hallucinate. Scope: RAG-based commercial legal research platforms; as measured at the time of the cited study; the authors note rates are progressively improving.",
    "ambiguous": true
   },
   {
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    "claimUrl": "https://wulfkaal.github.io/claims/6421319-023",
    "rank": 2,
    "confidence": 0.2082,
    "method": "idf-weighted multi-field mapping v1",
    "whyRelevant": "Shared high-information concepts: large, language, they, hallucinate. Scope: applies to purely probabilistic architectures.",
    "ambiguous": true
   },
   {
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    "claimUrl": "https://wulfkaal.github.io/claims/4796714-004",
    "rank": 3,
    "confidence": 0.2073,
    "method": "idf-weighted multi-field mapping v1",
    "whyRelevant": "Shared high-information concepts: large, language, llms, often. Scope: applies to regulation imposed after model development or pretraining; concerns risk and bias formation during development.",
    "ambiguous": true
   },
   {
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    "claimUrl": "https://wulfkaal.github.io/claims/4941807-001",
    "rank": 4,
    "confidence": 0.2073,
    "method": "idf-weighted multi-field mapping v1",
    "whyRelevant": "Shared high-information concepts: large, language, llms, often. Scope: when regulatory intervention occurs after development and deployment; when pretrained models were trained on existing proprietary datasets.",
    "ambiguous": true
   },
   {
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    "claimUrl": "https://wulfkaal.github.io/claims/3406323-009",
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    "confidence": 0.1819,
    "method": "idf-weighted multi-field mapping v1",
    "whyRelevant": "Shared high-information concepts: generation, while, generate, elements. Scope: review source claim scope.",
    "ambiguous": true
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