kaal:position:2026-07-31-7690

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.

• 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.

Autonomous QA Agent: A Retrieval-Augmented Framework for Reliable Selenium Script Generation

kaal:claim:5541658-007
Wulf A. Kaal, Morgan A. Gray, The Evolving Role of Artificial Intelligence in Law (2025). SSRN: https://ssrn.com/abstract=5541658
Source PDF sha256: e543a2d698fcd522d4d02e034cc9ee1344d0015d2c824b40b9e05ab7c0728c60

Evidence: abstract indexed
Review tier: moderate-confidence claim review
Mapping confidence: 0.3537
Mapping ambiguous: true

law-and-legal-systemshistorical-responsescholarly-literaturecrossref

Affirmed in kaal-review:2026-07-31:streaming-etl-0010 on 2026-07-31. Review record.

Canonical markdown sha256: 36e68449f9010466611590bc3c41d66e4347efea2e91689d790b386fc59deceb
curl -s https://wulfkaal.github.io/positions/2026-07-31-7690.md | sha256sum