Unverified50% confidenceFactExact time
Once wrong answers enter documents and knowledge bases, they are repeatedly cited by subsequent retrieval systems, causing false information to be presented as corroborated, since the number of sources does not equal diversity of evidence.
1
Sources
50%
Confidence
Long-term
Relevance
10/19/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedMissing citations raise concerns about attribution and reliability, as users cannot trace the origin of claims for fact-checking.76% similarUnverifiedFact extraction is a write operation: once a fact enters the normalized store, all downstream question answering draws from that store, so a single erroneous fact continuously pollutes downstream results.76% 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76% similarUnverifiedWhen documents are processed by an LLM as equally weighted factual sources, their staleness gets amplified into concrete incorrect answers.75% similar
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