Unverified50% confidenceFactExact time
EvidenceFlip is a deterministic benchmark that does not rely on another large model as a judge.
1
Sources
50%
Confidence
Long-term
Relevance
10/11/2026
First Seen
Sources
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Related Claims
UnverifiedThe test was a proof of concept, not a complete benchmark of Adapt-1's general capabilities.73% similarUnverifiedThe core principle of falsifiable closed-loop testing is: success on the sender's side does not count; new evidence must be generated by the target end, and the agent must be able to read back that evidence.73% similarUnverifiedThrough ablation experiments, cross-dataset validation, theoretical analysis, and other means, it is possible to demonstrate that a method's effectiveness does not depend on data scale.71% similarUnverifiedVerification is indispensable in agent systems; a model claiming that tests have passed does not prove the tests actually passed, and the harness should collect evidence from actual test execution and report it faithfully.70% similarUnverified选择和使用不同模型档位时不能仅凭版本号判断，基于真实场景的多轮测试才是评估模型能力的可靠依据70% similar
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