  With the emergence of advanced Silicon (Si) sensor technologies such as
LGADs, it is now possible to achieve exceptional time measurement precision
below 50 ps. As a result, the implementation of time-of-flight (TOF) particle
identification (PID) for charged hadrons at future $e^{+}e^{-}$ Higgs factory
detectors has gained increasing attention. Other PID techniques require a
gaseous tracker with excellent dE/dx resolution, or a Ring-imaging Cherenkov
detector (RICH), which adds additional material in front of the calorimeter.
TOF measurements can be implemented either in the outer layers of the tracker
or in the electromagnetic calorimeter, and are thus particularly interesting as
a PID method for detector concepts based on all-silicon trackers and optimised
for particle-flow reconstruction. In this study, we will explore potential
integration scenarios of a TOF measurement in a future Higgs factory detector,
using the International Large Detector (ILD) as an example. We will focus on
the challenges associated with crucial components of TOF PID, namely track
length reconstruction and TOF measurements. The subsequent discussion will
highlight the vital impact of precise track length reconstruction and various
TOF measurement techniques, including recently developed machine learning
approaches. We will evaluate the performance in terms of $\pi/K$ and $K/p$
separation as a function of momentum, and discuss potential physics
applications.
