Verified80% confidenceFactExact time
Citation hallucination is a special subtype of the hallucination problem in large language models, with its technical root cause being that LLMs learn the probability distribution of token sequences rather than precise memorization of real-world facts.
4
Sources
80%
Confidence
Long-term
Relevance
7/24/2026
First Seen
Sources
如何科学测试提示词对LLM引用行为的影响
redditr/learnmachinelearning7/9/2026
Related Claims
Verified大模型幻觉的技术本质在于模型在训练时学习的是语言模式的概率分布而非事实本身84% similarVerifiedThe hallucination problem in large language models stems from their nature as statistical probability-based sequential prediction systems, where generated tokens are based on conditional probability maximization rather than genuine logical reasoning.81% similarVerifiedThe technical root cause of hallucination in large models lies in the autoregressive generation mechanism, where the model predicts only the statistically most likely next token based on the preceding context; researchers divide hallucinations into intrinsic hallucinations and extrinsic hallucinations.81% similarVerifiedThe root cause of citation hallucination is that LLMs learn linguistic patterns by predicting the next word, and no factual database for real-time verification is embedded in the training process.80% similar
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