Abstract / Summary
This article presents a cross-domain computational assessment of regeneration metrology across seven classes of systems: cells and tissues, animals, plants, ecosystems, self-healing materials, batteries, and robotics. The study investigates three distinct questions: which manifestations of recovery can be quantitatively measured; under what conditions recovery history adds predictive information about subsequent outcomes; and whether available evidence supports Residual Recovery Reserve (RRR) as an independently measurable characteristic. The assessment draws on publicly available experimental data, primary scientific publications, and retained computational result records. Comparisons between baseline and augmented models, negative controls, anti-surrogate analyses, and experimental-unit independence are considered. In the animal domain, including repair history reduced mean absolute prediction error from 6.063 to 2.276 hours. In the battery domain, a small improvement in the prediction of pulse response was observed (Delta R2 = 0.000935), but the candidate variable was almost entirely predictable from known features. The plant analysis failed its negative control. The robotics analysis did not establish a robust advantage for the investigated indicator. Other domains provided measurable functional changes but did not permit identification of an individual RRR or did not test it. An additional coral analysis found no added predictive value for the selected candidate feature. The article introduces seven evidential criteria, E1–E7, and proposes RRR-V1.0, a prospective protocol in which the candidate indicator is measured before an independently specified second challenge. The results support the quantitative investigation of several manifestations of recovery but do not establish RRR as an independent universal measurand. Keywords: Vitology; regeneration; viability; recovery measurability; Residual Recovery Reserve; RRR; Harmony Norm Unit; HNU; Recovery Cost Unit; RCU; recovery cost; intercycle viability; added viability; Transfer Gap; A9DDC; negative control; anti-surrogate testing; CRSL(Regeneration).