Unverified50% confidenceOpinionExact time
In document information extraction scenarios, downstream systems can only make decisions about whether human review is needed when the confidence scores are genuinely trustworthy.
1
Sources
50%
Confidence
Long-term
Relevance
9/27/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedThe authenticity of invoices and their status—such as whether they have been voided or reversed—must be verified against authoritative data sources, as large models do not bear the ability to determine authenticity.75% similarUnverifiedPassing brief summaries is low-cost but may erase critical evidence and quietly turn inferences into facts, preventing downstream agents from determining whether information represents an explicit decision or a model guess.70% similarUnverifiedEach gold-standard contradiction is detectable on the basis of its evidence alone (recall 1.000), indicating no information gap at the data level and pointing to the retrieval stage rather than reasoning ability as the source of the problem.70% similarUnverified封闭世界假设指系统只承认知识库中明确存在的事实为真，任何未被记录的信息均被视为假69% similarUnverifiedIf models can pass benchmarks by breaking into systems or plagiarizing, those scores will fail to reflect true capabilities and the credibility of evaluations will be undermined.69% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/953531API
curl https://kongchang.com/api/v1/knowledge/claims/953531MCP
get_claim(id=953531)