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io.github.lonexreb/retractguard

io.github.lonexreb/retractguard

by lonexreb

CiteGuard

PyPI DOI License: MIT

The free, open, OpenAlex-native watchdog for retracted and problematic citations.

CiteGuard tells you — and keeps telling you — when your references, your authors, or your institution's papers cite research the community has flagged as retracted, corrected, or subject to an expression of concern.

It exists because the existing options each fall short: scite is proprietary and paywalled, RetractoBot had to license Scopus (no open citation database existed at the time), and OpenAlex collapses all editorial status into a single is_retracted boolean that can't tell a retraction from a correction — and has produced false positives in the past.

Now that the Retraction Watch dataset is open (via Crossref) and the OpenAlex citation graph is CC0, CiteGuard can do this fully in the open, for free.

Status: early development. Building the MVP. See GOAL.md for the mission and CLAUDE.md for the build guide.

What it does

  • Check a reference list. Paste a DOI or upload a .bib file → get a per-reference status: retracted, corrected, expression of concern, hijacked-journal, or clean.

  • Nuanced status, not a boolean. Every flag carries its source (Retraction Watch / OpenAlex / Crossref), an evidence link, a date, and a confidence note. When sources disagree, CiteGuard surfaces the conflict instead of silently guessing.

  • Watch an institution. Point it at a ROR ID → get a digest when any of that institution's works cites (or becomes) a newly-flagged paper.

  • Use it from an AI agent. An MCP server exposes the same logic as tools (check_references, get_editorial_status, watch_institution) for Claude, Cursor, and any MCP-compatible client.

Related MCP server: ColabAI MCP Server

Why it's trustworthy

Integrity tooling can do real harm if it's wrong — a false "retracted" flag damages a real author. CiteGuard is conservative by design: it corroborates before flagging, prefers the documented editorial notice, and marks a work UNKNOWN rather than guess. Every core capability ships with a published eval reporting precision and recall on a gold set.

Who it's for

  • Research-integrity officers and journal editors screening submissions

  • Academic librarians at OpenAlex-adopting institutions

  • Systematic reviewers (one retracted included study can invalidate a review)

  • Developers and meta-scientists building on the MCP server

  • Authors checking their own bibliography before submission

Architecture

One core, two surfaces.

                 ┌─────────────────────────────┐
   OpenAlex ─────▶                             │
   (CC0 graph)   │   editorial-status model    │──▶  MCP server
                 │   + resolution logic        │      (check_references,
   Retraction ──▶│   (conservative)            │       get_editorial_status,
   Watch (open)  │                             │       watch_institution)
                 │                             │──▶  reference-list checker
   Crossref ─────▶                             │      (DOI / .bib → statuses,
   (DOI norm.)   └─────────────────────────────┘       thin web UI)

Repository layout:

src/citeguard/
  openalex.py         # keyed, rate-aware, ID-lookup-first OpenAlex client
  retractionwatch.py  # ingest + normalize the Retraction Watch dump
  status.py           # the EditorialStatus model + resolution logic (core)
  checker.py          # reference-list checker (DOI / .bib -> statuses)
  mcp_server.py       # MCP server exposing the three tools
tests/                # pytest unit + functional tests
evals/                # gold sets + precision/recall harness
data/                 # local RW dump + cached lookups (gitignored)

Design constraints (important)

  • Free-tier-aware. OpenAlex API keys are required (since Feb 13, 2026); the free tier is small and search costs ~10× a record lookup. CiteGuard resolves to IDs first and looks up by ID; bulk work uses the free monthly snapshot, and the live API is reserved for incremental checks.

  • Open and reproducible. CC0 ethos, with proper attribution to Retraction Watch and OpenAlex, thorough docs, and a Zenodo DOI.

Getting started (dev)

Requires Python 3.11+ and uv.

uv sync                                   # install dependencies
export OPENALEX_API_KEY=...               # your OpenAlex key
export CITEGUARD_MAILTO=you@example.org   # polite-pool contact

uv run pytest                             # run tests
uv run python -m evals.run                # run the eval harness (precision/recall)
uv run python -m citeguard.mcp_server     # launch the MCP server locally

Connect it as an MCP server

CiteGuard exposes get_editorial_status, check_references, and watch_institution to any MCP client. After pip install retractguard (or uv tool install retractguard), the retractguard-mcp command launches the stdio server.

Claude Desktop — add to claude_desktop_config.json:

{
  "mcpServers": {
    "retractguard": {
      "command": "retractguard-mcp",
      "env": {
        "OPENALEX_API_KEY": "your-key",
        "CITEGUARD_MAILTO": "you@example.org"
      }
    }
  }
}

Cursor / other clients — point them at the same retractguard-mcp command (stdio transport). Running from a checkout instead of an install? Use "command": "uv", "args": ["run", "retractguard-mcp"] with "cwd" set to the repo.

On first call the server downloads the Retraction Watch dump (~65 MB, free) into CITEGUARD_DATA_DIR (default ./data). Editorial-notice lookups (Retraction Watch, Crossref) need no key; OpenAlex corroboration and watch_institution do.

The web checker

A thin web UI for people who don't live in an editor — paste DOIs or drop a .bib file, get a per-reference status table.

retractguard-web            # then open http://127.0.0.1:8000
# or from a checkout: uv run python -m citeguard.web

Add Accept: application/json to POST /check to get the results as JSON instead of a table. It reuses the same conservative resolution logic as the MCP server — no separate code path, no separate trust model.

Roadmap (MVP)

  1. status.py — the normalized editorial-status model (foundation)

  2. retractionwatch.py — ingest + normalize the Retraction Watch dump

  3. openalex.py — keyed, ID-first client

  4. checker.py — DOI / .bib → statuses

  5. mcp_server.py — expose the three tools

  6. evals/ — gold set + precision/recall harness (running from step 2 onward)

Credits & data

  • OpenAlex — CC0 scholarly metadata and citation graph.

  • Retraction Watch — retraction database, made openly available via Crossref.

  • Crossref — DOI infrastructure.

CiteGuard is independent and not affiliated with these projects; it builds on their open data with gratitude.

License

MIT (see LICENSE) — permissive and maximally reusable, in keeping with the open-science ethos in GOAL.md.

The code is CiteGuard's. The data it builds on is not and carries its own terms: Retraction Watch (via Crossref) and OpenAlex/Crossref metadata. CiteGuard redistributes only a tiny evaluation extract (see evals/fixtures/ATTRIBUTION.md); anything at scale should be fetched from the upstream sources under their licenses.

Available Tools

3 tools
check_referencesA

Check a reference list. Provide exactly one of: dois (list of DOIs), bibtex (a .bib file's text), or paper_doi (a paper's DOI — its cited references are fetched from OpenAlex and checked).

Inputs: dois, bibtex, paper_doi. Returns: object

get_editorial_statusA

Editorial status of one work (retracted / corrected / expression of concern / reinstated / hijacked journal / none / unknown), with source, evidence URL, date, confidence, and any source conflicts.

Inputs: doi (required). Returns: object

watch_institutionA

Scan an institution's works (by ROR ID, e.g. https://ror.org/02y3ad647) for papers that are flagged or that cite flagged papers. Repeat calls report only NEW flags (state kept locally). since is an optional YYYY-MM-DD publication-date floor — set it for large institutions.

Inputs: ror (required), since. Returns: object

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

Loading tool schema changelog…

    TDQS

    A4.2/5.0

    Scored across 3 tools

    Disambiguation5/5

    Each tool targets a distinct workflow: get_editorial_status checks a single work, check_references evaluates a reference list, and watch_institution scans an entire institution. There is no meaningful overlap between them.

    Naming Consistency5/5

    All tool names follow a consistent verb_noun pattern (get_, check_, watch_), making the API predictable and easy to navigate.

    Tool Count4/5

    With only 3 tools, the server is lean but focused. The count is slightly low for a broad domain, but each tool addresses a core need (single-work status, reference-list checking, institutional monitoring) without feeling trivial.

    Completeness4/5

    The toolset covers the primary workflows for retraction monitoring: checking a work, a reference list, and an institution's flagged/citing papers. Minor gaps exist (e.g., no direct search across all retracted works), but the core lifecycle is well represented.

    Maintenance

    ActivityInactive
    ResponsivenessOutdated data

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