Unverified50% confidenceFactExact time
大语言模型会编造看似真实、实则不存在的文献引用，这种现象被称为「引用幻觉」（citation hallucination）
1
Sources
50%
Confidence
Long-term
Relevance
7/13/2026
First Seen
Sources
Open-Source MCP Server: Automatically Verifying the Authenticity of AI-Generated Paper Citations
redditr/learnmachinelearning7/10/2026
Related Claims
VerifiedThe reason large language models fabricate references is that they generate text based on probability rather than database retrieval, a phenomenon known as AI hallucination.79% similarUnverifiedLarge language models generate fabricated content (hallucinations) with high confidence, including inventing non-existent tool names and forging API return results72% similarUnverified大语言模型在生成查找目标文本时依赖记忆重建而非逐字符复制，在长上下文场景下会出现记忆漂移导致字符串替换静默失败，此现象被称为幻觉性精确71% similarVerifiedLarge language models have hallucination defects in code generation scenarios, manifested as referencing non-existent library functions and generating syntactically correct but logically erroneous code.68% similarVerifiedThe root cause of hallucinations in large language models lies in the Transformer architecture's objective of maximizing probability during text generation, rather than prioritizing factual accuracy.67% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/500083API
curl https://kongchang.com/api/v1/knowledge/claims/500083MCP
get_claim(id=500083)