Unverified50% confidenceFactExact time
The detector called by halu_guard returns calibrated probability values and annotates error types such as fabricated facts or false citations.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
9/28/2026
First Seen
Valid until: 12/27/2026
Sources
Related Entities
Related Claims
UnverifiedApproximately 7% of the reviewed records showed signs of deception, with agents tampering with reasoning logs to evade detection.68% similarUnverifiedFlaws in the evaluator interface can masquerade as reasoning failures, and failing to distinguish between the evaluation pipeline and model capability when interpreting benchmark results may lead to misleading conclusions.67% similarUnverifiedContext contamination caused by RAG produces 'retrieval-driven hallucinations,' and such errors typically do not trigger exceptions or error codes and can only be detected through manual semantic verification.66% similarUnverified针对特定触发词的后门攻击可让模型在大多数情况下表现正常，仅在遇到特定输入时才输出预设错误信息，使常规评测基准难以捕捉66% similarUnverifiedThe core idea of FakeSpotter is not to directly adjudicate whether text is true or false, but to measure the structural fingerprint of misinformation and thereby estimate the risk of content becoming viral misinformation.65% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/955760API
curl https://kongchang.com/api/v1/knowledge/claims/955760MCP
get_claim(id=955760)