Explicit feedback (including for an EX card) sets f t−1 to a one-hot representation of the correct answer.
f t−1 gives the set of "positive" options that we used in the RG update vector, while O t−1 gives the set of "negative" options, allowing the LSTM to similarly update its hidden state from h t−1 to h t to reflect learning.