claim
active
claim:rhythmic-distribution-propertyRhythmic Distribution Property
Core property of Euclidean rhythms: onset patterns are distributed as evenly as possible across the time span.
Source paper
extracted_from(2021) · Toussaint, Godfried
Neighborhood — ranked by edge-count
Frameworks (1)
framework
- Euclidean RhythmssupportsFamily of musical rhythms generated via Bjorklund's algorithm, where k onsets are distributed evenly across n time units; denoted E(k,n).
Related by similarity (8)
cosine ≥ 0.65 · no typed edgeEntities in the same semantic neighborhood but without a typed relation to this one — candidates for new edges or unrecognized duplicates.
- The diverse distribution learned by LLMs during pretraining that alignment training sharpens; VS aims to recover it
- Assumption required by IIT 3.0/4.0 and PyPhi; tested for each optimal time series derived from (C)ARR.
- The distribution of latent representations produced by the model under unperturbed inputs
- Conjugate prior for categorical variables; used for beliefs about likelihood matrix A.
- Properties that bind centers together, used to describe morphogenetic sequences.
- Property requiring that ablating a truth direction shifts model output from truthful to false without other side effects
- In active inference, the distribution over goal states; here replaced by the learned self-prior rather than a hand-specified prior
- A prompt framing requesting a representative sample from a distribution rather than a single instance, which is the key insight behind VS