Unverified50% confidenceSolutionExact time
Model selection should compare along dimensions that match the use case rather than looking only at overall rankings; complete source code reconstruction requires looking at Completeness and Function Recovery, while token-level fidelity requires looking at Code Similarity.
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50%
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Long-term
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10/12/2026
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UnverifiedDuring model selection, it is necessary to confirm that the similarity objective function used during model training is consistent with the metric used during retrieval; otherwise, systematic bias will occur.74% similarUnverifiedA cosine similarity threshold is reliable only if it has been measured on your own corpus with the exact model in use, and re-measured whenever either changes.73% similarUnverifiedReproduction should proceed by isolating and validating layer by layer in the order of representation quality, then downstream actor, then data pipeline, using synthetic data for unit tests rather than blindly tuning hyperparameters.72% similarUnverified模型晋升需满足更严格条件：要么在两个相互独立的正向窗口上验证通过，要么一个正向选择结果加上一个从未被查询过的全新数据切片71% similarUnverified同一个模型用同一套假设检查自己的代码天然看不到盲点，跨模型审查因训练侧重点不同才具备互补价值70% similar
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