Large deviation principles and related results are given for a
class of Markov chains associated to the `leaves' in random recursive
trees and preferential attachment random graphs, as well as the `cherries' in Yule trees.
In particular, the method of proof, combining
analytic and Dupuis--Ellis-type path arguments, allows for an explicit computation of the
large deviation pressure.
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