1. Regardless of the sequence length, the learned model always has the same input size, because it is speciﬁed in terms of transition from one state toanother state, rather than speciﬁed in terms of a variable-length history of states.
2. It is possible to use the same transition function f with the same parameters at every time step.

University of Michigan - Ann Arbor

To unfold a computational graph is to unfold a recursive or recurrent computation into repetitive structure, typically corresponding to a chain of events.

Unfolding Operation

Goodfellow, I., Bengio, Y., & Courville, A. (2016). $\mathit{Deep \ Learning.}$ MIT Press. Retrieved from [www.deeplearningbook.org](https://www.deeplearningbook.org) 

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