Claim–Evidence Matrix
Make the survey’s claims explicit and auditable before writing prose.
This should stay bullets-only (NO PROSE). The goal is to make later writing easy and to prevent “template prose” from sneaking in.
Inputs
- •
outline/outline.yml - •
papers/paper_notes.jsonl - •Optional:
outline/mapping.tsv
Output
- •
outline/claim_evidence_matrix.md
Workflow (heuristic)
Uses: outline/outline.yml, outline/mapping.tsv.
- •For each subsection, write 1–3 claims that are:
- •specific (mechanism / assumption / empirical finding)
- •falsifiable (“X reduces tool errors under Y evaluation”, not “X is important”)
- •For each claim, list ≥2 evidence sources:
- •prefer different styles of evidence (method paper + eval/benchmark paper, or two competing approaches)
- •Keep it tight: claim → evidence → (optional) caveat/limitations.
- •If evidence is weak or only abstract-level, say so explicitly (don’t overclaim).
- •If
bibkeyexists inpapers/paper_notes.jsonl, include[@BibKey]next to evidence items to make later prose/LaTeX conversion smoother.
Quality checklist
- • Every subsection has ≥1 claim.
- • Each claim lists ≥2 evidence sources (or an explicit exception).
- • Claims are not copy-pasted templates (avoid “围绕…总结…” boilerplate).
Helper script (optional)
Quick Start
- •
python .codex/skills/claim-evidence-matrix/scripts/run.py --help - •
python .codex/skills/claim-evidence-matrix/scripts/run.py --workspace <workspace_dir>
All Options
- •See
--help(this helper is intentionally minimal)
Examples
- •Generate a first-pass matrix, then refine manually:
- •Run the helper once, then refine
outline/claim_evidence_matrix.mdby tightening claims and adding caveats when evidence is abstract-level.
- •Run the helper once, then refine
Notes
- •The helper generates a baseline matrix (claims + evidence) and never overwrites non-placeholder work; in
pipeline.py --strictit will be blocked only if placeholder markers remain.
Troubleshooting
Issue: claims are generic or read like outline boilerplate
Fix:
- •Tighten each claim to a falsifiable statement and add an explicit caveat if evidence is abstract-only.
Issue: you cannot add [@BibKey] because keys are missing
Fix:
- •Run
citation-verifierto generatecitations/ref.bib, then use the produced keys in the matrix.