Both the PDM and the naive method exhibit a larger tendency to underestimate when evaluated on the 2022 Stanford high emission rate releases. When all 6 CMS sensors are used, the slope of the best fit line to the PDM estimates is 0.64 (R 2 = 0.56, factor error = -1.56x) and the slope of the best fit line to the naive estimates is 0.53 (R 2 = 0.63, factor error = -1.88x). Almost all cases of extreme underestimation by the naive method (factor error less than -2x) were the result of one controlled release being separated into two short naive events by gaps in the concentration enhancements. Unlike the ADED 2022 and 2023 experiments, the PDM did not recombine any of these naive event pairs, as almost all of them were erroneously separated by periods of information (resulting in zero probability of being combined). A full discussion of what could have caused errors in the information mask is provided in Section S6 in the SI. When these naive event pairs are removed, the slope of the best fit line to the PDM estimates is 1.02 (R 2 = 0.74, factor error = 1.02x) and the slope of the best fit line to the naive estimates is 0.82 (R 2 = 0.80, factor error = -1.22x).