scholarly-citation

Solid

Verifiable-attribution and citation-discipline craft — atomic claim decomposition, evidence grading (primary/analysis/forecast tiers), claimant attribution, citation typing (cites/references/contradicts/defines), source anchoring (Xanadu). Use when writing or reviewing a reference or synthesis page that attributes and cites source-based claims so they stay traceable, or when claim attribution, citation typing, or evidence grading is needed.

AI & Automation 85 stars 14 forks Updated today MIT

Install

View on GitHub

Quality Score: 85/100

Stars 20%
64
Recency 20%
100
Frontmatter 20%
70
Documentation 15%
100
Issue Health 10%
80
License 10%
100
Description 5%
100

Skill Content

# scholarly-citation Verifiable-attribution craft drawn from scholarly/scientific citation traditions (citation classification, typing, anchoring). It ensures every claim in this wiki is atomized, evidence-graded, attributed to a speaker, typed by citation meaning, and anchored to a source location — and therefore traceable. Unlike the three borrowed traditions (narrative, exec summary, encyclopedic neutrality), this craft synthesizes external sources into an atomic-claim schema and is the project's signature. `criteria.json` is the SoT for each criterion's definition, comparator, and source; wiki-global state (page existence·hub type·section titles) is injected by the orchestrator (`tools/_lint/source.py`). The schema literals (`## Key Claims`, `[fact]`, `cites:` etc.) are the wiki's actual schema markers and section headers. ## Claim atomization & grading (cit.grade-marker · cit.atomic · cit.composite-split) One claim, one line, one utterance. Each line of `## Key Claims` (Key Claims) marks an evidence grade — `[fact]` (primary source), `[analysis]` (secondary analysis), `[forecast]` (forecast). Putting two subjects' claims on one line (joined by "and"/"&" or a comma series spanning two hubs; ko: the conjunctions `와`/`및`), or chaining verb phrases on one line ("…did, and …did"; ko: `~했고, ~했다`), breaks atomicity. ## Claimant attribution (cit.claimant-link · cit.claimant-valid · cit.speaker-link) Every claim is bound to who said it. The slot right after the grade marker ...

Details

Author
alfadur7
Repository
alfadur7/llm-wiki-newsroom
Created
2 months ago
Last Updated
today
Language
Python
License
MIT

Similar Skills

Semantically similar based on skill content — not just same category

AI & Automation Featured

citation-forensics

Citation-integrity forensics: is every reference real, correctly attributed, and used in a context the cited work actually supports? Catches hallucinated references (no paper at the claimed arXiv id/DOI/venue, fabricated authors/year), metadata drift (wrong year/venue/version), and wrong-context citations (a real paper cited for a claim it never makes — or argues against). A hot zone for machine-generated papers. Decidable at L0 (text + canonical sources). Span-anchored to the evidence ledger (claims.json); the executor gathers canonical facts (DBLP / arXiv / DOI), then one FRESH cross-model thread per cited key proposes findings; reviewer != adjudicator. Emits citation-forensics.findings.json; NEVER computes the verdict. Triggers: "citation forensics", "check the references", "hallucinated citations", "wrong-context citation", "verify references", "引用核对".

153 Updated 2 days ago
wanshuiyin
AI & Automation Listed

claim-writing

Blind-rewrite a citing sentence (citance) from another paper into a single atomic, independently-verifiable claim (SciFact's annotation protocol) — never looking at the cited paper's content while rewriting. Use this when you have a specific citing sentence and want it decomposed into checkable atomic claims, as the first step before rationale-selection and claim-label-prediction.

1 Updated 1 months ago
yogsoth-ai
AI & Automation Featured

claim-writing

Blind-rewrite a citing sentence (citance) from another paper into a single atomic, independently-verifiable claim (SciFact's annotation protocol) — never looking at the cited paper's content while rewriting. Use this when you have a specific citing sentence and want it decomposed into checkable atomic claims, as the first step before rationale-selection and claim-label-prediction.

392 Updated 1 months ago
yogsoth-ai