Unverified50% confidenceFactExact time
In the minimal-pair design, the question within each pair remains the same while one key fact changes, in order to test whether the model responds accordingly to changes in evidence.
1
Sources
50%
Confidence
Long-term
Relevance
10/12/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedED Resolve's design repositions memory from 'instruction' to 'evidence,' where evidence is merely an input for decision-making reference and must pass constraint checking and simulation-based verification.73% 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.73% similarUnverifiedRecursive self-improvement has a known pain point in the code generation domain of overfitting to a small number of test cases, where models make tests pass rather than genuinely solving the problem.72% similarUnverifiedWhen the true effect cannot be directly verified, a round of A/A testing can be run on candidate causal models first, and then the model to trust can be determined based on estimation error.72% similarUnverifiedThe paper employs a paired comparison experimental design, keeping the task instructions and the content of both evidence sources unchanged while only varying the sequential position in which the evidence appears.72% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1003396API
curl https://kongchang.com/api/v1/knowledge/claims/1003396MCP
get_claim(id=1003396)