Even Distribution of Onsets

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

• Adjacent-Inter-Onset-Interval Vectormethod0.747
• Pretraining Distributionconcept0.740
  The diverse distribution learned by LLMs during pretraining that alignment training sharpens; VS aims to recover it
• Natural Distribution of Representationsconcept0.730
  The distribution of latent representations produced by the model under unperturbed inputs
• Causally Emergent Alignment Hypothesishypothesis0.725
  The hypothesis that successful RL agents will display causal emergence that is predictive of final reward early in training and whose representational dynamics align with reward improvement.
• Distribution-Level Promptconcept0.722
  A prompt framing requesting a representative sample from a distribution rather than a single instance, which is the key insight behind VS
• Adjacent Inter-Onset-Interval Vector Notationmethod0.718
  Representation of rhythms as strings of non-negative integers indicating duration intervals between onsets; enables comparison with Euclidean strings.
• The unfolding process allows—sustains—minute adaptation in every detail.claim0.717
  The practical benefit of unfolding.
• triggers among processesconcept0.717
  The mechanism by which one sequence calls upon another, ensuring that linked centers are created, analogous to function calls in arithmetic.