feat: land superpaper v1 notes scaffold

Add the ledger schema, class router, lint codes, ingest/build
pipeline, and three work-tree examples: align derivation,
superfig delegation, and supertensor delegation.

examples/pipeline-delegate/notes/figures/F1/F1.tex

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+% superfig golden example 1 -- one horizontal paper-figure pipeline.
+% Main path is input -> model -> prediction. Loss is a side object, not a
+% station on the forward path.
+%   ../scripts/build.sh pipeline.tex
+\documentclass[border=10pt]{standalone}
+\usepackage[cjk]{superfig}
+
+\sfsetrole{input}{sfTeal}
+\sfsetrole{model}{sfOrange}
+\sfsetrole{loss}{sfCoral}
+\sfsetrole{output}{sfViolet}
+
+\begin{document}
+\begin{tikzpicture}
+
+\sfstage{SA}{推理流程：一次前向}
+\sfrow{R1}{16mm}
+  \sfnode[role=input]{x}{输入 $x$}{16mm}{12mm}
+  \sfconn{e1}{预处理}
+  \sfnode[role=model]{f}{模型 $f_\theta$}{18mm}{12mm}
+  \sfconn{e2}{logits}
+  \sfnode[role=output]{y}{预测 $\hat y$}{16mm}{12mm}
+\sfrowend
+
+% Loss compares the prediction with the target; it is not on the main path.
+% Hang it below ŷ with enough shaft that no caption sits on the arrow.
+\sfnode[role=loss, at={($(y.south)+(0,-22mm)$)}]{s}{损失 $L$}{14mm}{12mm}
+\sfarrowlabel{y.south}{s.north}{$L(\hat y,y)$}
+
+\sflane{R1}
+\sfcaption{x}{$x$}{原始输入}
+\sfcaption{f}{$f_\theta$}{可学习参数}
+\sfnolane
+\sfcaption{s}{$L$}{与真值比较}
+
+\sfbbox{all}
+\sftopformula{F}{%
+  $x \;\xrightarrow{\;f_\theta\;}\; \hat y,\qquad
+   \min_\theta\; L\bigl(f_\theta(x),\,y\bigr)$}
+\sfmeaningbox{mb}{96mm}{all}
+  {一次从输入到预测的前向；损失在预测之后单独计算}
+  {数据、模型参数、预测、损失}
+  {预处理后送入模型；模型产生 logits 得到预测；损失比较预测与真值，梯度再回到参数}
+\sfsignature{推理流程示意}{mb}
+
+\end{tikzpicture}
+\end{document}