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CiteWarden — Forensic Citation Checking, Because AI Fabricates References With Total Confidence

Rudra Sarker
AI Engineer & Full-Stack Developer | Creator of MindWell, SightlineAI & StealthHumanizer
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2 min read
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AI-generated

AI tooling disclosure

Generative AI materially contributed to this article.

Human review confirmed by the author.

CiteWarden — Forensic Citation Checking, Because AI Fabricates References With Total Confidence

title: "CiteWarden \u2014 Forensic Citation Checking, Because AI Fabricates References With Total Confidence" published: true description: "Paste any text; CiteWarden live-verifies DOIs, arXiv IDs, PMIDs, CFR sections and case law against real registries \u2014 and flags the fabricated ones. Built for LexHack 2026." tags: ai, security, showdev, opensource

The $5,000 hallucination

In Mata v. Avianca, Inc., 678 F. Supp. 3d 443 (S.D.N.Y. 2023), a federal judge sanctioned lawyers $5,000 after they filed a brief citing six court decisions that ChatGPT had invented. That was 2023 — the failure mode hasn't gone away, it's just everywhere now: student essays, grant proposals, court filings, and yes, dev blog posts.

CiteWarden is the checking layer. It reads text the way a paranoid reference librarian would. Built for LexHack 2026 (AI × Law × Civic Tech).

Try it: rudra496.github.io/citewarden

What it checks — against live registries

Citation family Verification path
DOIs Live Crossref lookup → OpenAlex fallback. 404 on both = flagged as non-existent
arXiv IDs Via their registered DOI mirror (10.48550/arxiv.*) in OpenAlex
PubMed IDs Live NLM E-utilities summary
CFR sections Official eCFR structure API
U.S. reporter cites (U.S., F., F.2d, F.3d, S. Ct., F. Supp.) 464-case verified landmark database + forensic bounds checks
Case names Landmark DB match + documented-fabrication watchlist
UK acts / EU regulations Verified statute list + live Wikipedia/ELI record checks

The offline forensic layer

Beyond "does this exist," CiteWarden runs fully offline forensics: reporter volume-range bounds, reporters cited before they existed (any F.3d cite dated before 1992 is impossible), decision years contradicting the volume era, malformed titles, placeholder artifacts, and same-cite/conflicting-year collisions.

The integrity score is transparent

  • Green = matched a live registry or the verified database
  • Amber = well-formed but unverifiable — honest uncertainty, never guessed
  • Red = impossible values, watchlist hit, or the registry confirms non-existence

Score = 100 − 100·(red/total) − 30·(amber/total), floored at 0. You can compute it yourself from the report.

Zero-invention data policy

Every shipped row was machine-checked at build time: the 464 landmark cases were parsed from Wikipedia's curated index with volume-bounds, volume-era consistency, and year sanity gates (1791–2026); build logs live in research/. The Mata v. Avianca watchlist contains the six fabricated citations transcribed verbatim from the sanction order.

If you review manuscripts, grade papers, or file briefs — paste your next document in before someone else finds the problem.

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Rudra Sarker
Rudra Sarker

AI Engineer & Full-Stack Developer | Creator of MindWell, SightlineAI & StealthHumanizer

Hi, I'm Rudra Sarker—an AI Engineer and Full-Stack Developer passionate about building high-impact, accessible web platforms and intelligent systems. I build solutions that blend AI, accessibility, and mental health, including MindWell (accessible mental health support platform), StealthHumanizer, SightlineAI, and ScienceLab 3D. Here on ZyVOP, I write about AI engineering, web development, open-source projects, and developer productivity.

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