1% generated by tables/make_tables.py from ./results/graph/category_counts_yearly.csv, ./results/econometrics/breaks.csv2\begin{table}[htbp]\centering\caption{Growth and structural-change summary for the six theory and software categories (multi-label counts).}\label{tab:theory_summary}3\begin{threeparttable}\small4\begin{tabular}{lrrrrrrrrrrr}5\toprule6\textbf{Category} & \textbf{Works 2018} & \textbf{Works 2025} & \textbf{CAGR 18--22 (\%)} & \textbf{CAGR 23--25 (\%)} & \textbf{Level 2022-12} & \textbf{p} & \textbf{Slope change} & \textbf{p } & \textbf{Placebo p (slope)} & \textbf{Bai--Perron} & \textbf{PELT} \\7\midrule8Algorithms and data structures & 60{,}011 & 88{,}268 & 1.6 & 14.2 & -0.045 & 0.039 & 0.0098 & 0.000 & 0.062 & 2023-04-01 & 2023-08, 2025-08 \\9Computational complexity & 16{,}996 & 29{,}301 & 1.9 & 22.7 & -0.068 & 0.000 & 0.0142 & 0.000 & 0.062 & 2023-04-01 & 2023-10, 2025-01 \\10Programming languages & 16{,}735 & 20{,}734 & -2.4 & 11.5 & -0.040 & 0.381 & 0.0123 & 0.000 & 0.431 & 2022-04-01, 2024-06-01 & 2023-10, 2025-10 \\11Compilers & 5{,}705 & 9{,}521 & -0.3 & 22.4 & -0.028 & 0.471 & 0.0180 & 0.000 & 0.215 & 2023-04-01 & 2023-10, 2025-10 \\12Formal verification & 12{,}283 & 13{,}656 & -5.1 & 13.1 & -0.109 & 0.029 & 0.0177 & 0.000 & 0.246 & 2022-02-01, 2024-07-01 & 2024-03, 2025-09 \\13Software engineering & 44{,}359 & 87{,}235 & 0.9 & 25.5 & 0.048 & 0.124 & 0.0162 & 0.000 & 0.154 & 2022-07-01 & 2023-03, 2025-01 \\14\bottomrule15\end{tabular}16\begin{tablenotes}\footnotesize\item Works: eligible works carrying the category (multi-label). CAGR: compound annual growth of the multi-label count between the years shown (2026 excluded as incomplete). Level and slope change: interrupted-time-series estimates on the log monthly count of works with the category as primary label, event month 2022-12, with HAC p-values (Part IV); placebo p: share of baseline-period pseudo-events whose slope t-statistic exceeds the observed one (Section~\ref{sec:m-placebo}); Bai--Perron and PELT: estimated break dates (results/econometrics/breaks.csv). The ITS series are primary-label counts while the CAGR columns use multi-label counts; the two populations differ (Table~\ref{tab:theory_counts}).\end{tablenotes}17\end{threeparttable}\end{table}18