While tinkering with a basic dataset upload on OpenLedger during the CreatorPad task, what struck me was how the Proof of Attribution mechanism quietly reshaped the flow. The project, @OpenLedger #OpenLedger , $OPEN , positions itself as the AI blockchain for fair rewards, yet in practice the default path rewarded small, cleanly labeled contributions almost immediately while larger unstructured uploads sat pending deeper validation. One concrete observation: a 500-row image dataset I submitted with minimal metadata triggered a quick attribution payout, but scaling to a mixed-format agent training set exposed how the on-chain tracking demanded explicit provenance tags upfront or risked dilution. It felt less like a hands-off ledger and more like an editor that forced cleaner habits from the start. This left me wondering whether that built-in friction will filter for quality over volume as more developers arrive, or simply shift the real work upstream before the token incentives even kick in.