Unverified50% confidenceOpinionExact time
The quality of the model's vulnerability reports depends on prompt design, code context coverage and false-positive control, none of which are disclosed in the available information.
1
Sources
50%
Confidence
Long-term
Relevance
10/25/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedWhen the classifier call fails, the message is treated as in-scope and handed to the answering model, rather than staying silent.72% similarUnverifiedUnder injection bait, weak models treat the injected incorrect numbers as their own calculation results and fabricate verification processes out of thin air, with the explanatory text appearing consistent with genuine verification, making it impossible to detect errors through auditing.72% similarUnverifiedInference methods based on model internal features face a trade-off between false positives and false negatives72% similarUnverifiedSchema-only post-hoc correction can achieve a number of safe completions comparable to verifier feedback; possible reasons are that the model's raw output already contains the correct content but in a messy format, or that verifier feedback mainly imposes format constraints rather than providing new reasoning signals.72% similarUnverifiedAn integration monitoring dashboard reporting successful message processing does not always establish that the expected business outcome occurred; a message may be accepted but applied incorrectly, processed asynchronously, or rejected by a downstream component.70% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1096575API
curl https://kongchang.com/api/v1/knowledge/claims/1096575MCP
get_claim(id=1096575)