  The time distribution of relaxation events in an aging system is investigated
via molecular dynamics simulations. The focus is on the distribution functions
of the first passage time, $p_1(\Delta t)$, and the persistence time,
$p(\tau)$. In contrast to previous reports, both $p_1$ and $p$ are found to
evolve with time upon aging. The age dependence of the persistence time
distribution is shown to be sensitive to the details of the algorithm used to
extract it from particle trajectories. By updating the reference point in event
detection algorithm and accounting for the event specific aging time, we
uncover age dependence of $p(\tau)$, hidden to previous studies. Moreover, the
apparent age-dependence of $p_1$ in continuous time random walk with an age
independent $p(\tau)$ is shown to result from an implicit synchronization of
all the random walkers at the starting time.

Disordered Systems and Neural Networks;Statistical Mechanics