
This companion study presents longitudinal empirical analysis of three open-source repositories using the EntropyX structural entropy framework. The results indicate that fully autonomous AI coding phases correlate with rapid entropy accumulation, whereas human-governed hybrid approaches demonstrate bounded structural evolution and measurable entropy cooling. The study introduces anomaly detection and entropy slope modeling for architectural governance. The work is reproducible using open tooling and public repositories.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
