Unverified50% confidenceOpinionExact time
Retrieval methods that rely solely on vector similarity often fall short when distinguishing between terminological equivalence and substantive gaps in specialized domain documents.
1
Sources
50%
Confidence
Long-term
Relevance
10/8/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedThe core of vector search is semantic similarity, which cannot distinguish hard differences along business dimensions such as year.75% similarUnverifiedThe problem of distinguishing 'different terminology but equivalent meaning' from 'similar terminology but different substance' is referred to as semantic equivalence judgment in the field of information retrieval.74% similarUnverifiedVector similarity measures semantic proximity, not temporal validity or whether information has been superseded.71% similarUnverifiedTop venues have no unified standard for judging novelty, and there are significant differences in perception across research areas and among different reviewers.70% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/990025API
curl https://kongchang.com/api/v1/knowledge/claims/990025MCP
get_claim(id=990025)