Δ
Latent Space Collapse & Dataset Provenance Simulator
Source: @HedgieMarkets (ISBNdb & Book Scanning)
High-Dimensional Feature Projection (t-SNE/UMAP Map)
Pristine Books (Pre-2022)
Synthetic AI Outputs
Extinguished Tail
Point inspected: Rare Knowledge Cluster
Provenance Presets
Pristine Books
Unfiltered Web
Recursive Loop
Recursive Generation Step
0
Data Purity (Pristine Pre-2022 Ratio)
85%
Sampling Temperature / Variance
0.70
Collapse Telemetry
Entropy (Bits)
4.12
Tail Coverage
68.5%
Centroid Drift
0.342
Cluster Variance
1.000
Early Tail Erosion
Vector Node Inspector
Hover or click a vector point
Hover over data points in the cluster projection map to inspect high-dimensional cluster metadata, synthetic decay risk, and tail status.
Reset
Export Diagnostic
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