Unverified50% confidenceFactExact time
Large language models rely on text records to "retrieve memories," so if a path or filename is changed without informing the AI, it will be unable to find the previously related records.
1
Sources
50%
Confidence
Long-term
Relevance
9/5/2026
First Seen
Sources
Related Entities
Related Claims
Unverified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78% 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.72% similarVerifiedThe reason large language models fabricate references is that they generate text based on probability rather than database retrieval, a phenomenon known as AI hallucination.70% similarUnverifiedLarge language models are essentially stateless functions, and a model's memory depends entirely on the content within the context window.69% similarUnverifiedLarge language models form parametric memory by compressing and encoding training corpora into weight matrices, which is distributed rather than exact storage, and this is one of the reasons for hallucinations about brand information.69% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/861824API
curl https://kongchang.com/api/v1/knowledge/claims/861824MCP
get_claim(id=861824)