Academic institutions, style guides, and peer-reviewed research uniformly reject the notion that AI language models serve as reliable primary sources. While citation formats exist for disclosing LLM use, these frameworks address transparency and attribution—not epistemic reliability. Documented problems including hallucinated references, citation bias, and factual inaccuracies mean LLM outputs require human verification and cannot substitute for peer-reviewed primary literature in academic work.