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/ledger.yaml

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+schema: superpaper.ledger/v1
+retired_ids: []
+paper:
+  id: pipeline-delegate
+  title: A One-Step Predictor
+  authors: ["Fixture"]
+  notes_language: zh
+  source: {kind: excerpt}
+coverage:
+  mode: excerpt
+  sections_in: ["1"]
+questions:
+  - {id: Q1, text: "前向主路和损失如何分开？", source: "excerpt"}
+claims:
+  - id: C1
+    text: "一次前向是 x → f_θ → ŷ；损失不在主路上"
+    kind: contribution
+    status: core
+    supports: [Q1]
+definitions: []
+assumptions: []
+lemmas: []
+symbols:
+  - {name: x, latex: "x", meaning: "输入", kind: value}
+  - {name: yhat, latex: "\\hat y", meaning: "预测", kind: value}
+  - {name: L, latex: "L", meaning: "损失", kind: scalar}
+derivations:
+  - id: DER1
+    claim: C1
+    title: "前向定义"
+    expand: true
+    figure: null
+    steps:
+      - {id: S1, from: "x", to: "f_\\theta(x)=\\hat y", rule: definition}
+figures:
+  - id: F1
+    claim: C1
+    title: "一次前向与侧路损失"
+    grammar: pipeline
+    toolkit: superfig
+    signals: [pipeline, what-eats-what]
+    request: figures/F1/F1.request.md
+    include: figures/F1/build/F1.pdf
+    status: included
+evidence: []
+terms: []
+source_assets: []

examples/pipeline-delegate/notes/figures/F1/F1-mechanism.md

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+一次前向 $x\to f_\theta\to\hat y$。损失挂在预测下方，不是主路车站。

examples/pipeline-delegate/notes/figures/F1/F1.request.md

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+# Figure request F1
+toolkit: superfig
+language: cjk
+claim: 一次前向是 x → f_θ → ŷ；损失不在主路上。
+grammar: pipeline
+work_rel_dir: figures/F1
+
+## Roles
+- {role: input,  color: sfTeal}
+- {role: model,  color: sfOrange}
+- {role: loss,   color: sfCoral}
+- {role: output, color: sfViolet}
+
+## Flow (cursor). \sfconn 没有 endpoints。
+stage: {name: SA, text: "推理流程：一次前向"}
+row: {name: R1, height: 16mm}
+in_row:
+  - {macro: sfnode, name: x, role: input,  label: "输入 $x$", w: 16mm, h: 12mm}
+  - {macro: sfconn, name: e1, label: 预处理}
+  - {macro: sfnode, name: f, role: model,  label: "模型 $f_\\theta$", w: 18mm, h: 12mm}
+  - {macro: sfconn, name: e2, label: logits}
+  - {macro: sfnode, name: y, role: output, label: "预测 $\\hat y$", w: 16mm, h: 12mm}
+
+## Fixed topology
+- {macro: sfnode, name: s, role: loss, label: "损失 $L$", w: 14mm, h: 12mm,
+   at: "($(y.south)+(0,-22mm)$)"}
+- {macro: sfarrowlabel, from: "y.south", to: "s.north", label: "$L(\\hat y, y)$"}

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}

examples/pipeline-delegate/notes/notes.tex

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+\documentclass[a4paper]{article}
+\input{notes-macros}
+\renewcommand{\notetitle}{一次前向与侧路损失}
+\renewcommand{\notepaper}{A One-Step Predictor}
+\begin{document}
+\tableofcontents
+\newpage
+\input{sections/sec-01.tex}
+\input{sections/sec-02.tex}
+\input{sections/sec-03.tex}
+\appendix
+\section{符号表}
+\input{sections/symbols.tex}
+\end{document}

examples/pipeline-delegate/notes/sections/sec-01.tex

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+\section{这篇论文在问什么}
+预测怎么从输入算出来，损失该不该站在前向主路上？

examples/pipeline-delegate/notes/sections/sec-02.tex

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+\section{主张与贡献}
+\splabel{C1}
+一次前向是 $x\to f_\theta\to\hat y$。损失在预测之后单独比较。
+
+\spfig{F1}{一次前向与侧路损失。}{重绘自 fixture Figure~1；toolkit: \texttt{superfig}；ledger id: F1。}
+
+\subsection{本章小结}
+损失不是前向的一站。

examples/pipeline-delegate/notes/sections/sec-03.tex

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+\section{总结与延伸}
+这张图走 superfig，因为要画的是谁吃谁，不是轴长。

examples/pipeline-delegate/outline.md

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+# Outline: A One-Step Predictor
+
+## Lecture map
+
+| file | lecture_title | paper_sections | ledger_ids |
+|---|---|---|---|
+| sec-01.tex | 这篇论文在问什么 | 1 | Q1 |
+| sec-02.tex | 主张与贡献 | 1 | C1, F1 |
+| sec-03.tex | 总结与延伸 | 1 | C1 |
+| sec-app-a.tex | 符号表 | — | |
+
+## Locked
+- 首节标题必须是「这篇论文在问什么」
+- 末节（appendix 前）必须是「总结与延伸」