Hot eventLive
CLEAN：概念空间扩张下心理测量一致的增量认知诊断
1 reports1 sources16 hr ago updated
Get the story
AI overview
2026年10月5日，arXiv Machine Learning Theory（一手来源）报道，研究者提出 CLEAN（Continual Learning with Expandable and Architecturally Isolated Networks），一个支持概念空间扩张的增量认知诊断框架。该框架通过架构隔离，为历史诊断的逐点不变性提供结构保证，旨在概念空间持续扩张的条件下保持心理测量一致性。目前公开信息仅包含该框架的提出与其核心机制，未见后续实验或应用进展报道。
Generated from reports · updated 16 hr ago
LatestOct 5
研究者提出CLEAN框架，以架构隔离保证概念空间扩张下历史诊断的逐点不变性。Timeline
Follow the coverage from different angles.
Oct 5, 2026
- arXiv · Machine Learning TheoryCLEAN：概念空间扩张下保持心理测量一致性的增量认知诊断框架
研究者提出 CLEAN（Continual Learning with Expandable and Architecturally Isolated Networks），一个支持概念空间扩张的增量认知诊断框架，通过架构隔离为历史诊断的逐点不变性提供结构保证。
Heat trend
Current heat 6·Comparable peak 10（Oct 5）·Comparable change over 24 hours –
The trend compares only the same participants observed continuously; its range may be smaller than the current heat count. Move or click on the chart to inspect hourly heat; use the left and right arrow keys to switch.