Unverified50% confidenceFactExact time
The framework preserves token-level traceability through SourceKeywords, allowing each type judgment to be traced back to the header vocabulary that triggered it.
1
Sources
50%
Confidence
Long-term
Relevance
10/9/2026
First Seen
Sources
Related Entities
Related Claims
Unverified词库是一种基于规则的文本匹配系统,核心是预定义的触发关键词与响应内容之间的映射关系,缺乏持久化上下文记忆和动态变量支持66% similarUnverifiedThe implementation of grounded extraction typically relies on two technical approaches: direct localization using vision-language models, or anchoring extracted text back to the source via matching/retrieval.66% similarUnverifiedSourceCheck使用Reference这一核心概念来同时定位Claim(LLM输出中的声明)和Source(原始文档片段)两类内容66% similarUnverifiedEarly tool-calling implementations (such as the ReAct framework) relied on models generating structured instructions within free text, resulting in poor parsing stability.65% similarUnverifiedSemantic caching uses text embedding technology to convert queries into high-dimensional vectors and determines whether queries are semantically similar via distance metrics such as cosine similarity; open-source projects such as GPTCache have already implemented this pattern.65% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/990380API
curl https://kongchang.com/api/v1/knowledge/claims/990380MCP
get_claim(id=990380)