Unverified50% confidenceFactExact time
Contextual drift refers to the phenomenon where a model gradually forgets the constraints set in the first half during the latter half of a long generation, leading to issues such as inconsistent code style and variable naming conflicts.
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50%
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Long-term
Relevance
10/1/2026
First Seen
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Related Claims
UnverifiedA bug where the specification and implementation are inconsistent is called semantic drift in software engineering, and is difficult to detect through conventional code review.68% similarUnverifiedThe process by which a model compresses high-dimensional semantic representations into a discrete token sequence is lossy—fine-grained semantic information, uncertainty distributions, and contextual associations are flattened when converted to text.65% similarUnverifiedContext loss refers to the truncation or omission of key decision bases, constraints, or intermediate states from upstream agents when passed to downstream agents.65% similarUnverifiedData drift or concept drift refers to the distribution of real-world data changing over time, which causes ML model accuracy to decline—this is a significant difference between MLOps and traditional software operations.65% similarVerified数据漂移（Data Drift）指生产环境中输入数据的统计分布随时间发生变化，导致模型接收数据与训练时分布不匹配64% similar
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