Files
superpaper/examples/excerpt-toy/ledger.yaml
T
dela 3a322aa8dc 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.
2026-08-17 10:01:30 +08:00

47 lines
1.3 KiB
YAML

schema: superpaper.ledger/v1
retired_ids: []
paper:
id: excerpt-toy
title: A One-Step Predictor
authors: ["Fixture"]
year: 2026
venue: Superpaper examples
notes_language: zh
source: {kind: excerpt}
coverage:
mode: excerpt
sections_in: ["1"]
questions:
- {id: Q1, text: "一次前向如何得到预测,损失该放在哪?", source: "excerpt"}
claims:
- id: C1
text: "一次前向是 x → f_θ → ŷ;损失在预测之后单独计算"
kind: contribution
status: core
supports: [Q1]
source: "excerpt"
definitions:
- {id: D1, name: "one-step predictor", text: "ŷ = f_θ(x)", source: "excerpt"}
assumptions: []
lemmas: []
symbols:
- {name: x, latex: "x", meaning: "输入", kind: value, introduced: "excerpt"}
- {name: yhat, latex: "\\hat y", meaning: "预测", kind: value}
- {name: L, latex: "L", meaning: "损失", kind: scalar}
- {name: d, latex: "d", meaning: "特征维", kind: "shape parameter"}
derivations:
- id: DER1
claim: C1
title: "缩放来自方差"
source: "excerpt"
expand: true
figure: null
steps:
- {id: S1, from: "u^\\top v", to: "u^\\top v / \\sqrt{d}", rule: scale,
justify: "点积方差随 d 增长"}
figures: []
evidence: []
terms:
- {canonical: "one-step predictor", aliases: ["一次前向"]}
source_assets: []