  GW200129 is claimed to be the first-ever observation of the spin-disk orbital
precession detected with gravitational waves (GWs) from an individual binary
system. However, this claim warrants a cautious evaluation because the GW event
coincided with a broadband noise disturbance in LIGO Livingston caused by the
45 MHz electro-optic modulator system. In this paper, we present a
state-of-the-art neural network that is able to model and mitigate the
broadband noise from the LIGO Livingston interferometer. We also demonstrate
that our neural network mitigates the noise better than the algorithm used by
the LIGO-Virgo-KAGRA collaboration. Finally, we re-analyse GW200129 with the
improved data quality and show that the evidence for precession is still
observed.
