Unverified50% confidenceFactExact time
Formalization itself can only guarantee internal consistency and cannot guarantee conformity with the original natural language intent; therefore, translation fidelity is a key prerequisite for the credibility of the pipeline.
1
Sources
50%
Confidence
Long-term
Relevance
10/15/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedThe ambiguity, implicit premises, and context-dependency of natural language cannot always be cleanly mapped to first-order logic, which is a translation boundary challenge for this architecture.71% similarUnverified由于语言间语义差异（数值精度、字符串编码、空值语义、字典键类型等），完全透明的跨语言变量共享在理论上不可能做到100%无损64% similarUnverifiedThe output of large language models inherently appears plausible (fluency bias), meaning that even when the reasoning chain is wrong, the generated natural language remains grammatically correct and natural in tone, rendering traditional monitoring approaches based on output format or exception capture ineffective.63% similarUnverifiedFormal verification eliminates the ambiguity commonly found in natural language arguments, significantly increasing the credibility of AI-generated proofs.63% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1037936API
curl https://kongchang.com/api/v1/knowledge/claims/1037936MCP
get_claim(id=1037936)