Figure presents all ADOs where n = 1 for the UDR case. This hierarchy contains eight Matsubara dimensions so the ADOs considered are; {1 1 , 1 2 ....1 8 }. All of these axes have similar trace distance profiles, however it is clear from the total virtual information flux that each axis has unique behaviour. The smaller Matsubara frequencies, 1 1 and 1 2 initially have a maximum Markovian transfer of virtual information followed by a recurrence of virtual information of approximately 40% that magnitude, within the first 100 fs. Whereas the ADOs in higher Matsubara dimensions, 1 7 and 1 8 , have a high non-Markovian feedback before they become Markovian with a predominantly monotonic loss of information. The fact that the total information flux (b), positive information flux (c), and resultant BLP metric (d) are so different for each case suggests that the role of the different Matsubara axes in contributing to the bath dynamics are unique.