Was working through an @OpenLedger CreatorPad task today — specifically looking at how $OPEN positions its data pipeline as "transparent by design." The thing that stopped me wasn't the architecture pitch, it was a data contribution transaction logged around block 22,601,000 (approximately May 30, 2026) where the provenance trail looked clean on the surface but the attribution layer — who contributed what, weighted how — was still resolved off-chain before anything touched the ledger. The chain confirmed the outcome. It didn't show the work. That gap is small but it's where the actual transparency question lives, because #OpenLedger premise is that AI training data flows become auditable, yet the most contested part of that flow, the curation and weighting decisions, happens before the record starts. I kept adjusting my lens mid-task, looking for where the on-chain log and the actual data decision intersected, and they mostly didn't. The ledger is real. The transparency is partial. Whether that gap closes as the system matures or just gets papered over with better tooling is the thing I can't answer yet.