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1% Generated by scripts/r3k_19_figures_v2.py -- do not edit by hand (FIRC-0002 v2.1, Stage E exhibits). Figure file: figures/r3k_v2/fig8_double_sort.pdf (copy in paper/figures_r3k/).2% \input{figures_r3k/fig8_double_sort} on its own places the float with its caption; inside an existing figure wrapper only the graphic is printed.3\ExhibitFigure{fig:double}{\textbf{AI language $\times$ size double sort before and after the launch, Russell~3000.} Mean forward twelve-month return (winsorized at 1/99 within the formation year, percent per year) by tercile of the AI composite within tercile of the corrected market capitalization, both formed within cohort on ranks, averaged over the pre-launch and the post-launch cohorts (viridis scale, common across panels; cell values printed; High$-$Low differences in the panel titles). The differences are descriptive; the formal large-versus-small test with clustered inference and its minimum detectable effect are in Table~\ref{tab:contrasts}, and the post-launch cells average three cohorts.}{\includegraphics[width=\textwidth]{fig8_double_sort.pdf}}4