Stochastic MuZero Chance outcomes training values question

I recently stumbled on Stochastic MuZero paper. I really like the results of the paper and the overall process. I understand the inference of the network and the MCTS planning. However, I dont understand the training of the chance outcomes. Could someone explain ? In the MCTS the sigma variable represents the distribution over chance outcomes in that state. What is this distribution trained against ? In the paper they mention that its trained against some encoder ? Is there additional encoder in the network that is used for this or how do they know which chance outcome actually occured?

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