Chainalysis published a proposed ontology for blockchain analytics on June 29, arguing that the industry needs clearer standards for what “cluster” claims actually mean. The framework splits structural claims, like whether addresses share common control, from attribution claims that link wallets to named entities, with deterministic/reproducible evidence required for the former and confidence-based source characterization for the latter. The core point is blunt: ML pattern-matching can generate leads, but treating it like forensic fact is how investigators end up confusing a gambling address with something far darker.

TLDR by @Benthic

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