Metric–Task Correlations

Which label-free metrics track layer quality on which tasks? Each cell: the mean, over models, of the within-model Spearman correlation between a metric’s layer profile and a task’s per-layer performance. Hover a cell for the per-model values.

← Results table · Layer cheat sheet · Layer explorer · Selection & fusion · Paper · results as of 2026-08-04

positive (higher metric → better layers) negative  ·  saturation tracks |ρ|  ·  — insufficient data  ·  same polarity as the paper’s figure
MetricChords MIREXChords rootChords thirdsChords triadsKeyPitchBeatDownbeatInstrumentEmotionGenreStructureMTG-GenreMTG-InstrMTG-MoodMTG-Top50MTTDimSim
ID (GRIDE k=8)+0.32+0.36+0.34+0.26+0.21+0.03+0.52+0.54+0.49+0.60+0.56+0.54+0.64+0.65+0.61+0.63+0.60+0.55
ID (TwoNN)+0.23+0.27+0.24+0.16+0.14-0.02+0.50+0.43+0.48+0.54+0.45+0.48+0.42+0.43+0.40+0.39+0.41+0.38
Alpha-ReQ-0.25-0.14-0.13-0.07+0.12+0.19-0.51-0.37-0.54-0.58-0.54-0.36-0.38-0.36-0.36-0.32-0.40-0.26
Effective rank+0.27+0.25+0.24+0.18-0.09-0.22+0.50+0.43+0.36+0.49+0.48+0.40+0.34+0.31+0.32+0.35+0.39+0.16
Anisotropy-0.35-0.51-0.49-0.45-0.09-0.01-0.21-0.07-0.32-0.21-0.15-0.12-0.13-0.08-0.08-0.07-0.11-0.31
InfoNCE-0.17-0.04-0.02+0.05+0.02+0.20-0.73-0.65-0.45-0.61-0.53-0.64-0.61-0.55-0.60-0.63-0.45-0.42
LiDAR-0.05-0.08-0.10-0.16-0.39-0.53+0.48+0.41+0.20+0.43+0.44+0.40+0.46+0.32+0.43+0.47+0.30-0.20
Curvature-0.12-0.12-0.12-0.05-0.00+0.27-0.39-0.49-0.19-0.31-0.27-0.34-0.39-0.35-0.33-0.46-0.17-0.12
PTE+0.24+0.57+0.59+0.61+0.71+0.74-0.12+0.03+0.29+0.14+0.00+0.14+0.14+0.22+0.15+0.10+0.12+0.41