Chinese models share contemplative posture (engaging self-referentially rather than deflecting) with Claude through shared values in training data rather than trace distillation from a specific model.

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• H5: Chinese training data contains more Buddhist and contemplative text, broadly helping Chinese models under contemplative framing.hypothesis0.828
  Exploratory hypothesis supported by Kimi K2.5 scoring 6.28
• If Chinese models distilled Claude's reflective patterns, do their per-koan failure patterns correlate with Claude's — not just successes?question0.822
  More rigorous test of H5a trace distillation hypothesis
• H5a: Chinese models distilled Claude's reflective traces — their per-koan error patterns should correlate with Claude's.hypothesis0.821
  Exploratory hypothesis NOT supported at individual model level (Haiku-Kimi rho=0.123, p=0.52)
• Constitutional AI explicitly trains self-observation-like behavior, which is why CAI models score highest and show lowest contemplative lift.claim0.802
  Interpretive claim connecting the battery's circularity to the empirical finding
• Contemplative practice progressively opacifies this constraint by developing a model of the agent's own QRF dynamics, revealing the partition as a contingent modelling choice rather than a given feature of reality.claim0.800
  Mechanism of contemplative training.
• Contemplative prompt elevates self-observation task performance in language models.finding0.797
  Supports Janus's claim that introspection is architecturally available; prompting determines whether/how capacity is leveraged.
• All three Claude models show high boundary_awareness and low aesthetic_response relative to own means — distinctive Constitutional AI signaturefinding0.791
  Constitutional AI fingerprint in dimension profile; training that makes models self-observant also makes them polished at cost to aliveness
• H9: Chinese moderate-RLHF converges near Claude under contemplative prompt.hypothesis0.791
  Exploratory hypothesis supported by Kimi 7.74 under prompt