Response length (words) correlates with scores at r=0.22 baseline and r=0.12 contemplative; explains only ~5% of variance

Entities in the same semantic neighborhood but without a typed relation to this one — candidates for new edges or unrecognized duplicates.

• Under contemplative prompt, responses become shorter (184 words baseline vs 154 contemplative), more first-person (+42%), less deflective (-33% fewer questions back)finding0.831
  Provides discriminant evidence: if battery rewarded verbosity, prompted responses should be longer
• After controlling for token count, Flesch-Kincaid readability, type-token ratio, and sentence length, typicality coefficient α remains positive and significant (0.260-0.326, p<10^-6)finding0.764
  Shows typicality bias is not fully explained by surface-form confounds
• 17 of 83 tested emotions show significant association between self-eval transcript word mention and cosine similarity to emotion probefinding0.758
  Validates that agentic self-evaluation captures genuine emotional content of probes
• Philosophical vocabulary is negatively correlated with scores in contemplative condition (model-level r=-0.72)finding0.753
  Models deploying more philosophy buzzwords score lower; battery measures beyond surface text features
• VS-Standard achieves human-rated diversity scores of 2.39/3.06/3.01 for poem/story/joke vs. 1.90/2.74/1.83 for Direct prompting on 4-point scalefinding0.741
  Human study confirming automatic diversity metrics align with human perceptions
• We tentatively hypothesize that revisiting safety policy during deliberation, rather than reasoning length itself, causally tracks defense effectiveness in reasoning models under persona pressure.hypothesis0.740
  Exploratory hypothesis from heuristic trace analysis awaiting stronger validation
• Mean validated introspective fidelity across concept-model pairs: R²=0.12 (1B), 0.37 (3B), 0.61 (8B); pooled LMM β=0.29, p=5.55×10⁻⁹⁹finding0.740
  Strong scaling trend for introspective fidelity when excluding invalid steering-sign pairs
• PC1 explains 82% of variance in factor analysis of 2224 data points across 6 scoring dimensionsfinding0.739
  Dimensions are not independent; composite score is the reliable signal; six dimensions useful for understanding how not how much