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In many analyses in Higgs, top and electroweak physics, the kinematicreconstruction of the final state is improved by constrained fits. This is aparticularly powerful tool at $e^{+}e^{-}$ colliders, where the initial statefour-momentum is known and can be employed to constrain the final state. Acrucial ingredient to kinematic fitting is an accurate estimate of themeasurement uncertainties, in particular for composed objects like jets. Thiscontribution will show how the particle flow concept, which is a design-driverfor most detectors proposed for future Higgs factories, can -- in addition toan excellent jet energy measurement -- provide detailed estimates of thecovariance matrices for each individual particle flow object (PFO) and eachindividual jet. Combined with information about leptons and secondary verticesin the jets, the kinematic fit enables to correct $b$- and $c$-jets for missingmomentum from neutrinos from semi-leptonic heavy quark decays. The impact onthe reconstruction of invariant di-jet masses and the resulting improvement in$ZH$ vs $ZZ$ separation will be presented, using the full simulation of theInternational Large Detector (ILD), as an example of highly-granularParticleFlow optimized detector concept.

Kinematic Fitting for Particle Flow Detectors at Future Higgs Factories