  The nearby type II supernova, SN2023ixf in M101 exhibits signatures of
early-time interaction with circumstellar material in the first week
post-explosion. This material may be the consequence of prior mass loss
suffered by the progenitor which possibly manifested in the form of a
detectable pre-supernova outburst. We present an analysis of the long-baseline
pre-explosion photometric data in $g$, $w$, $r$, $i$, $z$ and $y$ filters from
Pan-STARRS as part of the Young Supernova Experiment, spanning $\sim$5,000
days. We find no significant detections in the Pan-STARRS pre-explosion light
curve. We train a multilayer perceptron neural network to classify
pre-supernova outbursts. We find no evidence of eruptive pre-supernova activity
to a limiting absolute magnitude of $-7$. The limiting magnitudes from the full
set of $gwrizy$ (average absolute magnitude $\approx$-8) data are consistent
with previous pre-explosion studies. We use deep photometry from the literature
to constrain the progenitor of SN2023ixf, finding that these data are
consistent with a dusty red supergiant (RSG) progenitor with luminosity
$\log\left(L/L_\odot\right)$$\approx$5.12 and temperature $\approx$3950K,
corresponding to a mass of 14-20 M$_\odot$
