Unbiased SRMR/CRMR estimators

Maydeu-Olivares and colleagues have recently derived unbiased estimators and confidence intervals for the standardized root mean square residual and correlation root mean square residual (https://link.springer.com/article/10.1007%2Fs11336-016-9552-7), and these seem to perform quite well (https://www.tandfonline.com/doi/abs/10.1080/10705511.2017.1389611). In general, I find the residual-based fit statistics appealing for their interpretibility, particularly when combined with other fit indices that include parsimony penalty. I was wondering whether OpenMx might re-consider adding these unbiased estimators to summary.MxModel()?