Chain-of-Thought Prompting Elicits Reasoning in Large Language Models

Supported source page
This seeded Vefy Report shows how Vefy can turn a real arXiv paper page into one durable Vefy Report with abstract claims, author context, and clear boundaries around what the source page alone can establish.
By Vefy Desk arXiv Original date January 28, 2022 Added to Vefy July 28, 2026 Last updated July 28, 2026 Vefy Report ID VFY-2026-0728-108
Report note: This seeded example uses a real arXiv public page. The source page is real, while the page-level claim review here is a hand-curated review-build demonstration rather than a finished production editorial Vefy Report.
Claims reviewed 4
Supported 3
Missing context 1
Evidence 5
Timeline Events 5
Responses 1
Confidence

Supported source page

This seeded Vefy Report shows how Vefy can turn a real arXiv paper page into one durable Vefy Report with abstract claims, author context, and clear boundaries around what the source page alone can establish.

What Vefy found

The answer first, then the evidence path behind it.

The arXiv page clearly presents chain-of-thought prompting as the paper’s core method, but the abstract alone does not prove every later performance claim made in its name.

Claims reviewed 4
Supported 3
Missing context 1
Evidence 5
Timeline Events 5
Responses 1
Publication arXiv
Author Vefy Desk
Topic Public interest reporting
Timeline

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