Unverified50% confidenceFactExact time
Generative summarization may introduce information not present in the source text — known as factual drift — because models reorganize content in their own language.
1
Sources
50%
Confidence
Long-term
Relevance
9/15/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedEarly diffusion models often generated garbled pseudo-text when rendering words within images.71% similarUnverifiedLarge language models encode textual statistical patterns into parameters via backpropagation and do not store raw data in the traditional sense, but high-frequency text may produce memorization phenomena and be reproduced nearly verbatim.70% similarUnverified语义漂移（semantic drift）指模型在缺乏明确语义锚点的情况下逐渐偏离有意义的内容生成轨道，最终输出与查询意图脱节的文本70% similarUnverified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）69% 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69% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/921870API
curl https://kongchang.com/api/v1/knowledge/claims/921870MCP
get_claim(id=921870)