SOURCE-LINKED INTELLIGENCE
Population-Calibrated Graph Screening at 835-Million-Address Scale, with Label-Free Transfer to New Chains
Compliance screening of blockchain addresses is, in practice, a lookup against sanctions registries plus clustering heuristics; it fails on unlabelled addresses and on chains with no label coverage at all. We describe a deployed system that scores an address by its position in a multi-chain transaction graph rather than by its presence in a list. The substrate is a single graph of 835,330,427 addresses and 15,826,261,934 edges across five EVM chains; a shared inductive encoder with per-chain normalisation feeds two scoring heads. Decision thresholds are exact quantiles of the score distributio
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-02T18:08:07.000Z
First collected: 2026-09-21T05:11:56.580Z. This is not the publication date.