An Unbounded Gap Between Identification and Identifiable Elicitation: Central Moments

For $n\geq2$, two expectation equations identify the mean together with the $n$th central moment. How many coordinates must a report have if a one-observation loss uniquely elicits it and the report determines that moment? We prove that $n$ coordinates are necessary and sufficient among all identifi