Persistence is not an artifact of probe construction because lower (more central) emotion PCs are more persistent than noisier high-rank PCs

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• 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.hypothesis0.900
  Falsifiability test built into the PC analysis design
• Lower (more central) PCs of emotion feature activations are more persistent than higher-rank (noisier) PCs in both Kimi and Cogito, above variance-matched baselines.finding0.835
  Supports that persistence is genuinely tied to emotion structure rather than measurement artifact
• Emotion probes are more persistent than variance-matched random probes, indicating emotion-specific persistence beyond autoregressive dynamics.claim0.830
  Core empirical claim distinguishing emotion persistence from generic high-variance probe persistence
• Persistent conversational context that produced emotion-relevant activation is a plausible driver for the observed persistence results.claim0.816
  Acknowledged alternative explanation that the paper does not rule out
• The relationship between persistence and self-evaluated emotionality serves as a replication of probe-based findings without shared confounds from probe constructionclaim0.816
  Claims that agentic self-evaluation provides independent convergent evidence for emotion-persistence link
• Whether observed persistence reflects a genuine lingering emotion-like state or merely persistent conversational context that produced the emotion-relevant activationquestion0.815
  Core unresolved confound the paper acknowledges but cannot rule out
• Persistent conversational context that produced emotion-relevant activations is a plausible driver of observed persistence resultsclaim0.812
  Authors' caveat that conversational context persistence rather than internal emotion state persistence could explain findings
• PCs of the emotion space and persistenceconcept0.809
  Analysis showing that lower-rank (more central) PCs of emotion feature activations are more persistent than higher-rank (noisier) PCs