Unverified50% confidenceFactExact time
The reason V1 self-testing failed was data leakage: the query images and index images came from the same rendering pipeline and the same text content, measuring near-duplicate retrieval rather than font identity.
1
Sources
50%
Confidence
Long-term
Relevance
10/11/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedKey requirements carried by images in requirements documents (such as decision branches in flowcharts) are largely lost after plain-text extraction, resulting in incomplete coverage of the generated test cases68% similarUnverifiedThe tested models exhibited critical failures in judging image authenticity, representing a fatal weakness in their detection capability.66% similarUnverifiedHard mode grids use random fill rather than real patterns, with the purpose of preventing models from guessing the answer based on image priors.65% similarUnverifiedText search results filled with false positives can cause AI agents to modify the wrong code locations, miss call sites that must be updated in sync, or consume large numbers of tokens sifting through irrelevant results.64% similarUnverifiedTabular data is riddled with missing values, heterogeneous data types, inconsistent encoding schemes, and domain-specific noise, which distinguishes it from structured, continuous data such as images and text.64% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/997212API
curl https://kongchang.com/api/v1/knowledge/claims/997212MCP
get_claim(id=997212)