% Generated by code/make_tables.py from results/fp\_classes/financing\_regex\_by\_item.csv, financing\_regex\_by\_type.csv, financing\_regex\_terms.csv, summary.json. Do not edit by hand.
\begin{table}[H]
\centering\scriptsize
\setlength{\tabcolsep}{3pt}
\caption{Financing-instrument, buyback and dividend mentions: a construct-violation class detectable by pattern}\label{tab:fp_classes}
\begin{threeparttable}
\begin{adjustbox}{max width=\textwidth}
\begin{tabular}{llrrr@{\hspace{1.5em}}lrrr}
\toprule
\multicolumn{5}{l}{\itshape Panel A: by form and item} & \multicolumn{4}{l}{\itshape Panel B: by category} \\
Form & Item & Mentions & Matched & \% & Category & Mentions & Matched & \% \\
\midrule
10-K & \texttt{md\_and\_a} & 39{,}021 & 509 & 1.3 & Capital expenditure program & 19{,}211 & 10{,}096 & 52.6 \\
10-K & \texttt{business} & 30{,}455 & 116 & 0.4 & M\&A / integration & 130{,}259 & 9{,}145 & 7.0 \\
10-K & \texttt{properties} & 7{,}869 & 4 & 0.1 & Cost reduction / restructuring & 13{,}157 & 2{,}160 & 16.4 \\
10-K & \texttt{risk\_factors} & 2{,}796 & 14 & 0.5 & Strategic partnership & 17{,}501 & 475 & 2.7 \\
10-K & \texttt{full\_body} & 824 & 2 & 0.2 & Technology deployment & 6{,}725 & 360 & 5.4 \\
10-K & \texttt{quantitative\_disclosures} & 530 & 37 & 7.0 & Plant / site construction & 18{,}388 & 40 & 0.2 \\
10-Q & \texttt{md\_and\_a} & 99{,}167 & 1{,}372 & 1.4 & Infrastructure investment & 8{,}510 & 37 & 0.4 \\
10-Q & \texttt{financial\_statements} & 30{,}080 & 721 & 2.4 & Sustainability / ESG & 2{,}607 & 36 & 1.4 \\
10-Q & \texttt{unregistered\_sales} & 9{,}506 & 5{,}179 & 54.5 & Geographic expansion & 17{,}713 & 27 & 0.2 \\
10-Q & \texttt{controls\_and\_procedures} & 7{,}079 & 11 & 0.2 & Manufacturing / capacity expansion & 8{,}825 & 13 & 0.2 \\
10-Q & \texttt{risk\_factors} & 4{,}420 & 43 & 1.0 & R\&D program & 11{,}758 & 7 & 0.1 \\
10-Q & \texttt{legal\_proceedings} & 845 & 8 & 1.0 & Data center & 889 & 6 & 0.7 \\
10-Q & \texttt{quantitative\_disclosures} & 800 & 76 & 9.5 & Drug / clinical pipeline & 26{,}755 & 5 & 0.0 \\
10-Q & \texttt{full\_document} & 107 & 0 & 0.0 & New product / launch & 12{,}456 & 3 & 0.0 \\
8-K & \texttt{full\_body} & 74{,}566 & 14{,}320 & 19.2 & Energy transition / renewables & 866 & 2 & 0.2 \\
\midrule
All & & 308{,}065 & 22{,}412 & 7.3 & All & 308{,}065 & 22{,}412 & 7.3 \\
\bottomrule
\end{tabular}
\end{adjustbox}
\begin{tablenotes}\footnotesize
\item A mention is matched when its lower-cased name or description contains \texttt{repurchase|buy-?back|dividend|credit facility|revolving|term loan|notes? (due|offering)|at-the-market|senior notes|commercial paper} (most frequent terms: repurchase 10{,}886, senior notes 3{,}375, term loan 2{,}263, revolving 1{,}839, credit facility 1{,}184, notes due 1{,}177). These instruments are not strategic projects under the construct of Section~\ref{sec:construct}, yet the gate word ``program'' and the prompt admit them; 13{,}139 projects (10.8\%) have at least one matched mention and 12{,}027 a matched representative name or description. Matched mentions carry 17.8 of the 104.2~T USD of mention amounts. The pattern is a lower bound on the class (no human label has confirmed any match or non-match) and is applied to the stored paraphrase, not to the filing text. Part~I/Part~II ``Item~2'' collisions of the 10-Q segmenter affect 1{,}001 \texttt{unregistered\_sales} sections above 3{,}000 words (1.3\% of 77{,}869 pairs), 296 of them with an MD\&A sibling under 500 words.
\end{tablenotes}
\end{threeparttable}
\end{table}