While testing data uploads in a niche Datanet during the CreatorPad task, what struck me was how OpenLedger's Proof of Attribution quietly prioritizes traceable influence over volume. OpenLedger, $OPEN , #OpenLedger , @OpenLedger . A single structured medical snippet I contributed triggered visible on-chain attribution almost immediately when a test model referenced it, yet broader casual image dumps from other participants sat idle with no inference activity, earning nothing despite the "fair rewards" framing. The design choice of micro-rewards linked strictly to real usage exposed how contribution quality and domain relevance gate actual earnings far more than simple participation. It left me wondering whether this mechanism truly democratizes value or simply shifts the advantage toward experts who already know how to craft high-signal data.