While working through CreatorPad, one thing became impossible to ignore: attribution becomes much harder the moment complexity increases.
OpenLedger aims to make every contribution measurable, yet the challenge isn't tracking influence—it's deciding how much influence truly matters. The deeper the chain of inputs, the easier it becomes for meaningful contributors to disappear behind simplified scoring models.
The real test for AI attribution isn't transparency. It's whether long-tail contributors can retain their share of value as networks scale.
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