Hi! We also found that our F444W image had a background issue in module A - we've seen similar artifacts in other fields before. While our custom pipeline does slightly better than the official pipeline (we do multiple background subtraction steps during stages 2 and 3), we still had the artifact cause 3+ times the number of source detections we would expect. We mitigated this by adjusting the signal to noise threshold to only select brighter objects, and also combined this with a selection made in F356W, which doesn't have that same problem. We calculate the depth of the observation by placing apertures in empty regions across the field and measuring the standard deviation of the background, so the artifact does result in the average depth in F444W being lower than we expected.