Pruned neural network weights (90% zero) --- extreme sparsity typical of compressed models. Zeros encode as byte 0; non-zero weights scaled to [1, 255] preserving sign via abs
Standard analysis sees: heavy-tailed; right-skewed; few distinct values; aperiodic / broadband; low-complexity (predictable, not noise-like); homoskedastic; multifractal. The atlas finds no named structure, but the source is distinctively extreme on SL(2,ℝ) (Thurston):lyapunov_exponent (+2.8z) — beyond what the standard bank predicts for it.
SL(2,ℝ) (Thurston):lyapunov_exponent | +2.8z | bank-miss 1.0σ |
Hodge–Laplacian:source_fraction | -2.3z | bank-miss 1.2σ |
Möbius-S³:spinorial_asymmetry | +2.0z | bank-miss 2.2σ |
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| Nearest neighbor | Distance | |
|---|---|---|
| Poker Hands | 4.29 | cross-domain |
| Sensor Event Stream | 4.54 | cross-domain |
| Rainfall (ORD Hourly) | 4.59 | cross-domain |
2-adic › 2-adic:mean_distance | rank 294/298 | 0.1145 |
Catch24 › Catch24:SB_TransitionMatrix_3ac_sumdiagcov | rank 5/298 | 0.1991 |
E8 Lattice › E8 Lattice:std_profile | rank 2/298 | 8.4853 |
Gottwald-Melbourne › Gottwald-Melbourne:angular_spectral_structure | rank 297/298 | 0.4353 |
Julia Set › Julia Set:escape_entropy | rank 3/298 | 4.4550 |
Moiré › Moiré:moire_invariance_breadth | rank 295/298 | 0.0032 |
Ordinal Partition › Ordinal Partition:markov_mixing | rank 5/298 | 0.9946 |
Sol (Thurston) › Sol (Thurston):z_variance | rank 294/298 | 0.0180 |