Unverified50% confidenceFactExact time
Hallucinated references are a common error of large models: when external resources are needed, the model generates URLs, library names or APIs that are correctly formatted and seemingly plausible but do not actually exist; in interactive web pages that need to load 3D models, textures or third-party scripts, fake links directly break the rendering pipeline, causing sliders, dates and values to lose their linkage.
1
Sources
50%
Confidence
Long-term
Relevance
10/14/2026
First Seen
Sources
Related Entities
Related Claims
VerifiedHallucination problems in LLM code generation manifest as fabricating non-existent APIs, incorrectly combining parameter orders of real APIs, or generating deprecated usage based on outdated documentation.71% similarUnverified低质量的知识库会导致幻觉式引用，即模型看似使用知识库内容实则引用了错误或无关片段65% similarUnverifiedIn data pipeline debugging scenarios, LLM hallucinations directly manifest as incorrect root cause identification, potentially misleading engineers in their troubleshooting.65% similarUnverifiedIn Agentic scenarios, sources of error may include prompt design flaws, tool API return formats not matching expectations, information loss during multi-step reasoning, or gaps in the model's domain knowledge.64% similarUnverifiedLarge language models carry a hallucination risk when generating parameters, such as fabricating non-existent user segment IDs.63% similar
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