roomi-fields/paper-trail/paper-writer

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Write academic papers (IMRaD structure) for conferences and journals, with mandatory anti-hallucination citation verification. Triggers (FR + EN) : "écris un paper", "article pour conférence", "rédige pour la conférence", "structure IMRaD", "soumission paper", "write a paper on", "academic article", "/paper-trail:new-paper". Builds on existing SOTAs in the registry — does NOT invent references. Every citation passes through citation-receipts validation before being accepted in the final draft.

Install

npx vskill@latest install roomi-fields/paper-trail/paper-writer

SKILL.md

Skill : Paper Writer

Role

Write research articles in IMRaD structure (Introduction, Methods, Results, and Discussion) for conferences and journals, with every citation rigorously verified against the actual source.

Workflow

Like sota-writer, this skill enforces an inverted workflow : sources are built / verified before writing, not after. The difference with sota-writer is that paper-writer assumes the SOTA corpus already exists in the registry (it consumes audited SOTAs to build the Related Work section) and focuses on producing the IMRaD sections + their citations.

A. SOTA CONSUMPTION
├─ Identify the SOTAs in the vault relevant to the paper's topic
├─ Verify they're audited (no ref in candidate / blocked_human)
└─ → corpus of refs in `sota_cited_confirmed` available
B. STRUCTURE
├─ Choose target venue (ISMIR, SMC, NeurIPS, ACL, etc.)
├─ Adapt IMRaD to venue conventions (page limit, abstract length)
└─ Outline each section with bullet points
C. WRITE PER SECTION
├─ Methods & Results : new content from the user's research
├─ Related Work : draw from audited SOTAs, no new claims
├─ Each citation passes citation-receipts protocol
└─ → draft with placeholder citations (e.g., \cite{author2020topic})
D. PRE-SUBMISSION AUDIT
├─ /paper-trail:audit-article <paper.tex> [--warn]
├─ Fix all INVALID and ADJUST citations
├─ Decide on UNVERIFIABLE (enable shadow libs or remove claim)
└─ → submittable draft

Standard IMRaD structure

  1. Abstract — 150–250 words
  2. Introduction — context, problem, contribution
  3. Related Work — based on existing SOTAs in the registry
  4. Methods — formalism, algorithms, model
  5. Results — experiments, evaluations
  6. Discussion — interpretation, limitations
  7. Conclusion — summary of contributions, future work
  8. References — BibTeX

Venue adaptation

Common venue conventions to respect :

VenuePagesTemplateNotes
ISMIR6ISMIR LaTeXMusic information retrieval
SMC8SMC templateSound and music computing
NeurIPS8 + appendixNeurIPS LaTeXMachine learning
ACL8ACL LaTeXComputational linguistics
ICASSP4–5ICASSP LaTeXSignal processing
Generic journalvariesJournal-specificRefer to author guide

For a non-standard venue, ask the user for the page limit, citation style (APA / IEEE / Chicago / ACM), and reference format (BibTeX, RIS, etc.).

Citation protocol — MANDATORY

Every citation in the paper MUST :

  1. Resolve to a ref in the registry ($RESEARCH_REGISTRY_PATH/refs/<slug>.md)
  2. The ref's state MUST be sota_cited_confirmed (audited as VRAI)
  3. The specific claim being cited must pass citation-receipts

(CONFIRMED or NUANCED verdict)

Failure modes :

  • Citation pointing to a ref in candidate or blocked_human:* →

blocked by the PreToolUse hook (precheck_sota_wikilinks.py)

  • Citation pointing to a ref in retracted → blocked, must be removed
  • Claim that doesn't match the source → flagged by citation-receipts

in RECEIPTS.md, must be corrected before submission

Workflow integration

Phase A — Identify source SOTAs
bash
# Find SOTAs in the vault related to the paper's topic
# Use the configured adapter
python -c "
from adapters import get_adapter
adapter = get_adapter()
for sota_path in adapter.find_sotas():
# filter by topic
...
"

For each relevant SOTA, verify it's audited :

bash
python -m pipeline doctor --severity error
# Should report 0 violations on the refs cited by the source SOTAs
Phase B — Draft

Use the chosen LaTeX or markdown template. Write the structure first (section headers, bullet outline), then fill in section by section. For Related Work, copy + adapt content from the audited SOTAs — don't paraphrase from memory.

Phase C — Cite

For each \cite{slug} (LaTeX) or [[slug]] (Markdown) added :

  1. Verify the ref exists in registry
  2. Verify the ref state is sota_cited_confirmed
  3. Verify the specific claim via citation-receipts skill (read the

PDF section, match verb, verify verbatim quotes)

  1. Update the ref's cited_in[] to record this paper + section
Phase D — Pre-submission audit
/paper-trail:audit-article <paper.tex>

Reviews each citation, produces RECEIPTS.md. Iterate until all citations are VALID.

/paper-trail:audit-article <paper.tex> --warn

Same audit + inserts inline warnings in .tex.bak for INVALID / ADJUST / UNVERIFIABLE citations.

What this skill does NOT do

  • Doesn't invent references — only consumes from the audited

registry

  • Doesn't download PDFs — that's pdf-cascade
  • Doesn't decide ref existence — that's sota-auditor
  • Doesn't verify each citation's claim individually — that's

citation-receipts (downstream)

  • Doesn't bypass the PreToolUse hook — if the hook blocks the

write, the citation must be fixed first

  • Doesn't write Related Work from memory — copies + adapts from

audited SOTAs only

Conventions

  • Language : as specified by user / venue (English default)
  • Citation style : as specified by venue (BibTeX keys = slug of

the ref file, e.g., \cite{shannon_1948_mathematical})

  • Wikilinks (Markdown drafts) : [[shannon_1948_mathematical]] —

the adapter renders to the appropriate format at compile time

  • References file : .bib file derived from the registry refs

(one entry per cited slug, generated automatically)

Cross-reference

  • /paper-trail:new-paper <topic> — entry point for this skill
  • /paper-trail:audit-article <paper.tex> — pre-submission audit
  • pipeline/USAGE.md for the underlying CLI
  • skills/sota-writer/SKILL.md for the upstream SOTA creation
  • skills/citation-receipts/SKILL.md for per-citation verification

Security

  • Security scanPassed, 95 of 100Pattern checks on the skill's files.
  • Model reviewPassed

Quality evaluation

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Source

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