Unverified50% confidenceCautionExact time
ruleherd's contradiction detection is heuristic, based on keyword pairing and never/always polarity judgment, not semantic understanding, so it may miss subtle contradictions or falsely flag cases with different wording but the same meaning.
1
Sources
50%
Confidence
Long-term
Relevance
10/14/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedFor tasks like contradiction verification that require holistic judgment rather than step-by-step decomposition, a single well-crafted prompt may outperform multi-step reasoning.73% similarVerifiedFormal verification can only guarantee the internal consistency of a reasoning chain; it cannot automatically determine whether the proposition being proved is semantically fully equivalent to the original conjecture.69% similarUnverifiedUsing incorrect default capability advertisement values masks the true situation and leads to difficult-to-reproduce errors, whereas unknown is an explicit semantic state that callers can use for graceful degradation69% similarUnverified一致性检验只能降低幻觉概率，无法根除，如果所有推理路径基于同一错误的共识性偏见会共振出一致但错误的答案69% similarUnverifiedVector retrieval based on semantic similarity has limitations: it may miss decisions that are chronologically important but semantically dissimilar, lacks a conflict resolution mechanism, and critical information may be omitted or drowned out.69% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1025773API
curl https://kongchang.com/api/v1/knowledge/claims/1025773MCP
get_claim(id=1025773)