Skip to main content

citation-audit

Zero-context verification that every bibliographic entry in the paper is real, correctly attributed, and used in a context the cited paper actually supports — catching hallucinated authors, wrong years, fabricated venues, version mismatches, and wrong-context citations. Use when user says "审查引用", "check citations", "citation audit", "verify references", "引用核对", or before submission to ensure bibliography integrity.

معلومات المصدر

المستودع
wanshuiyin/Auto-claude-code-research-in-sleep
آخر نشاط في المصدر
٦ سبتمبر ٢٠٢٦ في ١٧:٣٢
لغة SKILL.md المكتشفة
الإنجليزية
النجوم
١٦٬٧٨٩
التفرعات
١٬٤١٩

خيارات التثبيت

يُحدَّد Prompt الذي يراجع المصدر أولًا بشكل افتراضي. يمكنك التبديل إلى أمر مباشر أو تنزيل نسخة محلية.

مراجعة ملفات المصدر

اقرأ SKILL.md وأي ملفات مرافقة يعرضها SkillsMP قبل أن تقرر التثبيت.

عرض SKILL.md

SKILL.md
تعليمات المصدر · معاينة للقراءة فقط
name
citation-audit
description
Zero-context verification that every bibliographic entry in the paper is real, correctly attributed, and used in a context the cited paper actually supports — catching hallucinated authors, wrong years, fabricated venues, version mismatches, and wrong-context citations. Use when user says "审查引用", "check citations", "citation audit", "verify references", "引用核对", or before submission to ensure bibliography integrity.
argument-hint
[paper-directory-or-bib-file] [--uncited] [— soft-only]
allowed-tools
Bash(*), Read, Grep, Glob, Edit, Write, WebSearch, WebFetch
# Citation Audit > **Codex assurance:** base audit artifacts record > `review_independence: same-family` and `acceptance_status: provisional`. > Cross-family overlays or deterministic metadata checks may record accepted; > unavailable semantic review emits BLOCKED. Verify every `\cite{...}` in a paper against three independent layers: 1. **Existence** — the cited paper actually exists at the claimed arXiv ID / DOI / venue. 2. **Metadata correctness** — author names, year, venue, and title match canonical sources (DBLP, arXiv, ACL Anthology, Nature, OpenReview, etc.). 3. **Context appropriateness** — the cited paper actually supports the claim it is being used to support in the manuscript. This skill is the fourth layer of \aris{}'s evidence-and-claim assurance, complementing `experiment-audit` (code), `result-to-claim` (science verdict), and `paper-claim-audit` (numerical claims). Together they form a bottom-up integrity stack from raw evaluation code to manuscript bibliography. ## When to Use This Skill **Run before submission.** The right gating point is: - After `paper-write` has produced the LaTeX draft and bib file - After `paper-claim-audit` has verified numerical claims - Before final `paper-compile` for submission **Do not** run this on a half-written draft — most of the work is in cross-checking each `\cite` against context, which is wasted on placeholder text. ## What This Skill Catches The dangerous citation problems are **not** wildly fake citations — those are easy to spot. The dangerous ones are: - **Wrong-context citations**: real paper, but the cited claim is not what that paper actually establishes (e.g., citing Self-Refine to support "self-feedback produces correlated errors" — Self-Refine actually argues the opposite). - **Author hallucinations**: anonymous-author placeholders that slipped through, missing co-authors, wrong order. - **Title drift**: arXiv v1 vs v3 with different titles silently merged. - **Venue confusion**: arXiv preprint cited but the official venue is now CVPR/ICML/NeurIPS — using the wrong record. - **Year mismatch**: arXiv 2023 preprint with 2024 conference acceptance, year reported inconsistently. - **Phantom DOIs**: DOI looks real but does not resolve. - **Self-citation drift**: your own prior work cited with year off by one. ## Constants - **REVIEWER_MODEL = `gpt-6-astra`** — Fresh Codex reviewer with web access; same-family provisional in the base mirror. - **CONTEXT_POLICY = `fresh`** — Each audit run uses a new reviewer thread (REVIEWER_BIAS_GUARD). Continue only with `send_input` when explicitly resuming the same audit. - **WEB_SEARCH = required** — The reviewer must perform real web/DBLP/arXiv lookups, not pattern-match from memory. - **OUTPUT = `CITATION_AUDIT.md`** — Human-readable per-entry verdict report. - **STATE = `CITATION_AUDIT.json`** — Machine-readable verdict ledger consumable by downstream tools. - **SOFT_ONLY = `false`** — When true (set via `— soft-only` / `— soft_only` flag), the audit runs all three layers normally but **forbids any `.bib` file mutation**. Findings that would otherwise mutate the bib (FIX / REPLACE / REMOVE) are translated into per-occurrence sentence-rewrite proposals against the citing `*.tex` files. Used by `/resubmit-pipeline` Phase 1 to honor the user's hard "freeze the bib" constraint. - **RENDER_HTML = true** — When `true` (default), auto-render `CITATION_AUDIT.md` to HTML after writing the report. Uses **full review gate** (audit-class artifact). Set `false` to skip, or pass `— render html: false`. **Non-blocking**: failures don't invalidate the audit verdict. ## Workflow ### Step 1: Discover bib file and section files Locate: - `references.bib` (or `paper.bib` / similar) under the paper directory - All `*.tex` files containing `\cite{...}` calls (typically `sec/` or `sections/`) If multiple bib files exist, audit each separately. ### Step 2: Extract all (cite-key, context) pairs For each `\cite{key1,key2,...}` invocation in the paper: - Record the cite key - Record the file + line number - Record the surrounding sentence (≥ 1 full sentence around the cite, for context check) Output a flat list of `(key, file, line, surrounding_sentence)` tuples. Also build the inverse: for each bib entry, the list of all places it is cited. Define two protocol sets used throughout the rest of the workflow: `cited_keys` is the set of unique cite keys appearing in any `\cite{...}` invocation across the audited `*.tex` files (de-duplicated), and `bib_keys` is the set of keys parsed from the audited bib file(s). `cited_keys` drives Step 3 (audit only cited entries); `bib_keys \ cited_keys` is the uncited residual surfaced by the `--uncited` opt-in. If the user passed `--uncited`, also compute the set difference `bib_keys \ cited_keys` here and stash it for use in Steps 5 and the JSON aggregation; see "Uncited Entry Detection (opt-in)" below for the protocol. The set-diff is a string operation only and does not consume reviewer budget. Save the extracted contexts to `paper/.aris/citation-audit/contexts.txt` so the reviewer can read it directly. Use the paper-dir-relative path `.aris/citation-audit/contexts.txt` when recording the file in `audited_input_hashes`; do not stage under `/tmp` or other transient locations that the verifier cannot rehash later. ### Step 3: Send each entry to a fresh reviewer (same-family provisional by default) For each **cited** bib entry — i.e., each key in `cited_keys` with at least one extracted citation context — launch a fresh Codex reviewer agent. Do not reuse the same reviewer across entries. Do **not** spawn an agent for entries in `bib_keys \ cited_keys`; those are detect-only and surface only when `--uncited` is explicitly enabled (see "Uncited Entry Detection" below). ``` spawn_agent: model: gpt-6-astra reasoning_effort: xhigh message: | You are auditing a bibliographic entry. Use web/DBLP/arXiv search. ## Bib entry @article{key2024example, author = {...}, title = {...}, journal = {...}, year = {...}, ... } ## Where this entry is cited in the paper [paste extracted contexts] For this entry, verify: 1. EXISTENCE: does this paper exist at the claimed arXiv ID / DOI / venue? Output: YES / NO / UNCERTAIN, with the verifying URL. 2. METADATA: are author names, year, venue, title correct? For each, output: correct / wrong: should be ... / typo: ... 3. CONTEXT: for each use, does the cited paper actually support the surrounding claim? Output per-use: SUPPORTS / WEAK / WRONG, with one-sentence reasoning. VERDICT: KEEP / FIX / REPLACE / REMOVE - KEEP: entry is clean, all uses are appropriate - FIX: metadata needs correction; uses are appropriate - REPLACE: cite is wrong-context, find a different paper that actually supports the claim - REMOVE: entry is hallucinated or unsupportable Be honest. If you cannot verify online, say UNCERTAIN; do not guess. ``` Save the response to `.aris/traces/citation-audit/<date>_runNN/<key>.md` per the review-tracing protocol. ### Step 4: Aggregate verdicts Build `CITATION_AUDIT.json` following the schema defined in **"Submission Artifact Emission"** below (single authoritative schema for this file). Per-entry ledger data goes under `details.per_entry`, not under a top-level `entries` field. The top-level `verdict` is a single overall value (PASS / WARN / FAIL / NOT_APPLICABLE / BLOCKED / ERROR) derived from per-entry verdicts per the decision table in "Submission Artifact Emission"; the top-level `summary` is a one-line human-readable string. Concretely, `details` carries the per-entry ledger: ```json "details": { "total_entries": 29, "counts": { "KEEP": 11, "FIX": 14, "REPLACE": 3, "REMOVE": 1 }, "per_entry": [ { "key": "lu2024aiscientist", "verdict": "KEEP", "axis_failures": [], "uses": [ {"file": "sections/1.intro.tex", "line": 11, "verdict": "SUPPORTS"}, {"file": "sections/6.related.tex", "line": 8, "verdict": "SUPPORTS"} ] }, { "key": "madaan2023selfrefine", "verdict": "FIX", "axis_failures": ["CONTEXT"], "uses": [ {"file": "sections/2.overview.tex", "line": 42, "verdict": "WRONG", "note": "Self-Refine demonstrates iterative improvement, not correlated errors"}, {"file": "sections/6.related.tex", "line": 13, "verdict": "SUPPORTS"} ] } ] } ``` See "Submission Artifact Emission" for the full artifact (top-level fields `audit_skill`, `verdict`, `reason_code`, `summary`, `audited_input_hashes`, `trace_path`, `thread_id`, `reviewer_model`, `reviewer_reasoning`, `generated_at`, `details`). ### Step 5: Generate human-readable report Write `CITATION_AUDIT.md`: ```markdown # Citation Audit Report **Date**: 2026-04-19 **Bib file(s)**: references.bib **Total entries**: 29 ## Summary | Verdict | Count | |---------|------| | KEEP | 11 | | FIX | 14 | | REPLACE | 3 | | REMOVE | 1 | ## Priority Fixes (CRITICAL — apply before submission) ### REMOVE: anon2025placeholder - Author listed as "Anonymous" — canonical record exists with real authors and full title - Title is incomplete - ACTION: Replace key with the canonical citekey, update authors and title ### REPLACE-CONTEXT: example2023priorwork in sec/2.overview.tex:42 - Cited to support a specific technical claim - The cited paper actually demonstrates a different (related but distinct) phenomenon - ACTION: Rewrite the sentence; cite the prior work for what it actually establishes [... continues for each entry ...] ## All-Clean Entries (no action needed) [list of KEEP keys] ``` When `--uncited` is set, append the following section after "All-Clean Entries": ```markdown ## Uncited Entries (opt-in) The following bib entries are present in the audited bib file(s) but are not referenced by any `\cite{...}` in the paper body: - `author2010example` — suggestion: prune (uncited; no local evidence of intent) - `someone2015othercite` — suggestion: prune (uncited; no local evidence of intent) - `third2024todo` — suggestion: check (a `% TODO: cite third2024todo` comment was found in `sections/3.related.tex`) This section is detect-only; it does not change the top-level verdict. ``` ### Step 6: Apply fixes (interactive) For each FIX/REPLACE/REMOVE verdict, prompt the user: ``` Fix [key]? Change: <description of change> Files affected: references.bib + sec/X.tex:Y [Apply / Skip / Defer] ``` If `AUTO_APPLY = true`, apply all FIX-level changes (metadata corrections only). REPLACE and REMOVE always require human approval — they involve content changes. ### Step 7: Recompile and verify ```bash latexmk -C && latexmk -pdf -interaction=nonstopmode main.tex ``` Confirm: - No new `Citation undefined` warnings - No `Reference undefined` warnings - Page count unchanged or only minimally affected by metadata fixes ## Uncited Entry Detection (opt-in) **Default**: disabled. Existing users see no behavior change — only `\cite{...}` keys are audited, and bib entries with no `\cite` reference in the manuscript are silently ignored. **Opt-in**: pass `--uncited` on invocation. The skill then performs a set-diff after Step 2 and reports bib entries that appear in any audited bib file(s) but are not cited anywhere in the paper. Detect-only — uncited entries are **not** sent to the reviewer agent, so there is no extra reviewer/web-lookup cost. ### Why opt-in This skill's headline output is the three-axis audit on cited entries. Surfacing uncited bib entries by default would (a) change long-form output for every existing run, and (b) noise up the verdict for users who intentionally maintain a superset bib file (e.g., shared lab bib, in-progress section reorder where the cite has been removed but the entry intentionally retained). The flag preserves zero behavior change for existing callers. ### Effect when enabled When `--uncited` is set: - `CITATION_AUDIT.md` gains a `## Uncited Entries (opt-in)` section listing the keys with a one-line suggestion each: `prune` (entry is dead weight; recommend deleting) or `check` (entry might be intentional; flag for user review). Default suggestion is `prune`; only emit `check` when there is concrete local evidence (e.g., a TODO comment in a `.tex` file mentioning the key, or a recently removed `\cite` visible in `git diff`). Do not infer intent from the bib key string alone. - `CITATION_AUDIT.json` `details` gains an `uncited_entries` array; see "Submission Artifact Emission" below for the schema. - The top-level `verdict` is **unchanged**: uncited entries do not upgrade or downgrade the PASS / WARN / FAIL / etc. classification. The `reason_code` and `summary` are likewise unchanged in shape; only the `details.uncited_entries` field appears. - Verifier gates and downstream skills (`paper-writing` Phase 6, `verify_paper_audits.sh`) MUST NOT treat the presence of `uncited_entries` as a blocking signal. ### When opt-in is appropriate - Pre-submission cleanup (drop dead bib entries before sharing camera-ready ZIP). - Shared lab bib file where the paper uses a subset and the user wants to confirm what is in scope. - Recurring audits where the user has previously seen the uncited count and wants to track whether it changed. ### Fallback when bib enumeration fails If `--uncited` is enabled but full bib-key enumeration fails (e.g., malformed bib syntax that the parser cannot recover), the cited-entry audit must still proceed if at all possible. In that case: - Do **not** alter the top-level `verdict`, `reason_code`, or `summary`. - Emit `details.uncited_entries` as an empty array `[]`. - Add `details.uncited_entries_status: "unavailable"` plus a one-line note explaining why (e.g., `"bib parser could not enumerate keys; cited-entry audit completed normally"`). - Verifier gates and downstream skills MUST treat `unavailable` the same as the field being absent: not blocking. If the bib file cannot be read well enough to audit even the cited entries, fall back to the existing `BLOCKED` / `bib_unreadable` path defined in the verdict decision table; this is the same behavior as the no-flag default. ## Key Rules - **Fresh reviewer thread per audit run** — never reuse prior review context - **Web access required** — the reviewer must do real lookups, not memory pattern-match - **Wrong-context > metadata** — a real paper used to support a wrong claim is more dangerous than a typo in author name - **REPLACE/REMOVE require human approval** — never auto-modify content claims - **Always emit, never block** — this skill always writes `CITATION_AUDIT.json` with a verdict; the decision to block finalization lives in `paper-writing` Phase 6 + `verify_paper_audits.sh`, driven by the `assurance` level. See "Submission Artifact Emission" below. - **Run once per submission** — the audit is wall-clock expensive (web lookups for each entry); not for every save - **Uncited detection is opt-in only** — never auto-enable; never block on uncited entries; existing callers must observe identical output if they do not pass `--uncited` - **Under `--soft-only`, citation-audit emits text-rewrite proposals only; bib files are never mutated regardless of finding severity.** The audit semantics (existence + metadata + context) and the per-entry KEEP/FIX/REPLACE/REMOVE ledger are preserved verbatim; only the action layer is translated to per-occurrence sentence rewrites in the citing `*.tex` files. Refuse any downstream-proposed bib edit while `--soft-only` is set. ## Comparison with Other Audit Skills | Skill | What it audits | What it catches | |-------|---------------|-----------------| | `/experiment-audit` | Evaluation code | Fake ground truth, self-normalized scores, phantom results | | `/result-to-claim` | Result-to-claim mapping | Claims unsupported by evidence | | `/paper-claim-audit` | Numerical claims in manuscript | Number inflation, best-seed cherry-pick, config mismatch |
عرض على GitHub
ملف SKILL.md هذا كبير جدا، لذلك يعرض SkillsMP القسم الاول فقط هنا. عرض على GitHub