Unverified50% confidenceOpinionExact time
Schema compliance from any provider only guarantees shape, not semantic correctness; for example, a sign error on an offset row can pass strict JSON-schema validation.
1
Sources
50%
Confidence
Long-term
Relevance
10/13/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedCorrect formatting and seemingly plausible text are insufficient as criteria for checking structured decisions; the consistency among claims, business entities, evidence, explanations, and final labels should be verified independently, separately from JSON validity.73% similarUnverifiedTraditional speculative decoding uses strict rejection-sampling-based verification rules, where a draft token is only accepted when it exactly matches the target model's sampled result.70% similarUnverifiedCode tests can only check the shape of LLM output (e.g., whether it is valid JSON) but cannot check the judgment; code changes around the model can pass all tests while completely changing the model's conclusions.69% similarUnverifiedSchema validation can only guarantee format correctness and cannot determine the security of operations.68% similarUnverifiedThe demo is proof-of-concept in nature, only showcasing structurally correct sample data, and lacks robust error-handling mechanisms for incomplete, chaotic, or malicious inputs.68% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1013936API
curl https://kongchang.com/api/v1/knowledge/claims/1013936MCP
get_claim(id=1013936)