If persistence is genuinely related to emotion features, lower PCs of the emotion space (more central, less noisy) should be more persistent; if it is an artifact, noisier PCs should have similar persistence.

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• Persistence is not an artifact of probe construction because lower (more central) emotion PCs are more persistent than noisier high-rank PCsclaim0.900
  Rules out measurement artifact explanation for the persistence finding
• PCs of the emotion space and persistenceconcept0.867
  Analysis showing that lower-rank (more central) PCs of emotion feature activations are more persistent than higher-rank (noisier) PCs
• Lower (more central) emotion PCs are more persistent than higher (noisier) PCs in both Kimi and Cogitofinding0.854
  Rules out that persistence is an artifact of probe construction, since noise dimensions are not similarly persistent
• Persistent conversational context that produced emotion-relevant activation is a plausible driver for the observed persistence results.claim0.828
  Acknowledged alternative explanation that the paper does not rule out
• Whether observed persistence reflects a genuine lingering emotion-like state or merely persistent conversational context that produced the emotion-relevant activationquestion0.828
  Core unresolved confound the paper acknowledges but cannot rule out
• To what extent is emotion feature persistence driven by genuine internal emotional state versus autoregressive conversational context dynamics?question0.828
  Core open question the paper raises but does not fully resolve
• emotion feature persistenceconcept0.817
  The phenomenon that emotion feature activations remain elevated above baseline beyond local token bursts, measurable as long-range correlation
• Emotion probes are more persistent than variance-matched random probes, indicating emotion-specific persistence beyond autoregressive dynamics.claim0.814
  Core empirical claim distinguishing emotion persistence from generic high-variance probe persistence