Marginalia

mar·gin·a·li·a (n.) — notes scribbled in the margins of a book; the traces a reader leaves behind.

Selective research & reading notes by Yunqi Chen — distilled musings from AI-assisted analyses, published bilingually (English / 中文).

🌐 Website: https://uniqueclouds.github.io/marginalia/ — 全部内容物在线阅读(MkDocs 构建,push 自动部署)

This repo is deliberately sparse. The workspace behind it holds raw corpora, private drafts and unfinished work; by default everything is git-ignored, and only explicitly whitelisted, curated notes are ever committed. Nothing lands here casually — each entry is published on purpose, as one issue → one pull request → one squashed commit.

1. Issue — the musing itself: what triggered it, where the data came from, what the original prompt/idea was.
2. Pull request — the distilled bilingual note (note.en.md + note.zh.md), cross-linked to the issue, plus one new row in the index below.
3. Commit — exactly one squashed commit on main per entry, so the history reads like a table of contents.

Every note opens with full provenance — no orphan musings:

---
id: marginalia-NNN
title: ...
date: when the analysis was done
published: when this note was committed
kind: musing | analysis | proposal | survey
sources: local corpora / files / tools the musing is grounded in
initial-prompt: the request (idea) that started the conversation
agent: ZCode CLI
model: the LLM behind the conversation
issue: N
---

Companions to the entries above, published verbatim — live skills, original source documents, full reports — in whatever language they were born in. Each lives inside its entry's directory but arrives in its own PR; artifacts need no issue.

Every note exists twice — *.en.md and *.zh.md, same content, neither an afterthought. Verbatim artifacts (skills, original source documents) are published as-is, in whatever language they were born in: switch to 中文版 README.

The contents of this repository and the website — the entry notes, reports, the podcast guide — are licensed under Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) . You're free to share and adapt for any non-commercial purpose, as long as you credit the source; commercial use requires prior permission. The underlying data corpora are not redistributed here and remain governed by their original sources (each entry's sources field cites them).