XorShift32

algorithmic-bytes · 37 views
algorithmic-byteshigh-entropy

What It Is

Marsaglia's XorShift (2003) --- three shift-xor operations per step. Fast and passes most tests, but fails binary rank and linear complexity

Interpretation

Standard analysis sees: rich, high-entropy values; aperiodic / broadband; high-complexity (noise-like); high-dimensional / space-filling. The atlas finds no named structure, but the source is distinctively extreme on Zipf–Mandelbrot (8-bit):zipf_r_squared (-2.7z) — beyond what the standard bank predicts for it.

What standard analysis sees
tail heaviness0.21
asymmetry0.48
occupancy0.92
short-range corr0.30
long-range memory0.33
spectral colour0.79
periodicity0.09
complexity0.95
time-irreversibility0.46
volatility clustering0.25
multifractality0.22
dimensionality0.91
nonstationarity0.27
What the atlas adds
Atlas-extreme metrics the standard bank can’t predict for this source
Zipf–Mandelbrot (8-bit):zipf_r_squared-2.7zbank-miss 1.8σ

Composition

dtypefloat64
range[3.656e-05, 0.9999]
unique values16384 / 16384
mean ± std0.502 ± 0.289

Render Gallery

Atlas Position

Nearest neighborDistance
White Noise1.53cross-origin
glibc LCG1.59
RANDU1.67

Open in Atlas →

Which Geometries Light Up

2-adic › 2-adic:multiscale_markov_predictabilityrank 304/3060.0268
Klein Bottle › Klein Bottle:rank_deficit_maxrank 304/3060.1017
Nonstationarity › Nonstationarity:dynamic_couplingrank 302/3061.0781
Predictability › Predictability:cond_entropy_k1rank 2/3062.9977
Spectral Analysis › Spectral Analysis:spectral_peakednessrank 306/3060.0004
Symplectic › Symplectic:recurrence_raterank 304/3060.0273
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