Citation-Based Factual Evaluation

A methodology for verifying information by requiring explicit, verifiable citations from authoritative sources rather than relying on model-generated assertions.

Key Principles

• Requires source references for all factual claims
• Prioritizes peer-reviewed, primary sources over secondary interpretations
• Distinguishes between verified facts and unverified assertions
• Mitigates risks of ai-hallucinations in model outputs

Related Concepts

• large-language-models: Prone to ai-hallucinations without citation verification
• Fact-Checking: Requires source validation as core component
• Source Verification: Foundation of citation-based evaluation

Integration of New Note

• A 2026-03-06 YouTube summary report (via Gemini 2.5 Flash) details ai-hallucinations as a pervasive issue in large-language-models, where models generate plausible but factually incorrect outputs—a widespread problem not limited to minor bugs.

2026 04 14 AI Hallicinations