🔒 LucidLock
Don’t waste hours reviewing fake papers. Let LucidLock filters them out first.
LucidLock filters AI-generated papers before peer review
Designed for journal editors, reviewers, and research institutions.
We review each request manually.
🛡️ What LucidLock Stops
✅Fake or hallucinated citations
✅Logic that doesn’t hold under review
✅Prompt injection and coercive override tricks
✅Structurally invalid claims dressed up in fluent language
🛡️ What LucidLock Isn't
✅Not an AI detector
✅Doesn’t score or label content
✅Doesn’t rewrite or generate anything
✅Doesn’t guess intent — it checks structure
LucidLock detects:
LucidLock Validator - Scope & Guarantee
structural incoherence
citation laundering
institutional and rhetorical coercion
directive prompt injection
aesthetic and poetic prompt injection
LucidLock does not determine scientific truth, novelty, or empirical correctness.
It evaluates structure, integrity, and coercion — not conclusions.
LucidLock operates before peer review. Peer review evaluates scientific claims.
Peer review happens too late. Fake papers are already inside.
AI makes papers look perfect - citations, structure, and tone.
But inside? Fake logic. Fabricated data.
Even hidden prompts meant to override review.
SCIENTIFIC INTEGRITY BETA
Request Access
We are currently running a limited beta with:
📘Journal editors
🧪Peer reviewers
🔬Research integrity offices
🏦Funding and evaluation bodies
If accepted, beta users receive:
Access to LucidLock’s validation engine
Early feature input
Forensic reports on submitted papers
This beta is not public.
Every request is manually reviewed.
WHERE THIS GOES NEXT
LucidLock started with scientific papers. But it won’t stop there.
Finance and compliance
Block prompt-injected fraud
Research and education
Filter theses, journals, admissions
Policy analysis
Stop hallucinated evidence
Institutional workflows
Review AI output before action
We are building the enforcement layer for AI-era knowledge systems.
This isn’t a plug-in. It’s a structural defense.
LucidLock is built for institutions that care about truth under pressure, not optics.
If that’s you, request access.
If not, we’ll still be here when the noise gets louder.
Frequently Asked Questions
Explore Our Common Queries and Solutions
What problem does LucidLock solve?
LucidLock detects AI-driven fraud in scientific papers - including hallucinated citations, hybrid authorship, invalid methodology, and Prompt injection and coercive override tricks. It flags structural failure before flawed research enters the system.
How does LucidLock work?
Each paper is analyzed using forensic recursion. LucidLock tests for structural coherence, citation lineage, methodology alignment, and contradictions under symbolic pressure. The output is a detailed integrity report, readable by humans, trusted by institutions. After analysis, you will be email your report in 3 - 5 mins.
What happens when a paper fails validation?
We don’t issue a pass/fail. We show where and why the paper breaks - which sections collapse under pressure, which references don’t hold, and how authorship signals misalign. It’s not rejection. It’s exposure.
Is LucidLock patented?
Yes. Core components, including the symbolic firewall, recursive validation stack, and forensic drift detection, are protected under multiple patents. This ensures integrity for users, not just the system.
Who is LucidLock for?
The beta is built for:
Journal editors
Peer reviewers
Integrity officers
Funding evaluators
If your decisions rely on real science, not surface structure, LucidLock was made for you.
How do I use LucidLock?
Currently, usage is by manual upload. Approved beta users submit a paper and receive a forensic integrity report via email. API integration will follow in the enterprise release.
How can I access the beta?
Request access at the top of the page. Every request is reviewed manually to prevent misuse. If you care about clarity, integrity, and truth under pressure, you’ll be welcome.
How is LucidLock different from other tools?
LucidLock doesn’t rate style. It tests structure.
While most tools chase grammar or plagiarism, LucidLock dives deeper, exposing mimicry, fractured logic, false causality, and recursive breakdown. It doesn’t filter noise. It finds the signal.
LucidLock Validator does not currently evaluate medical or clinical trial papers due to the unique regulatory, ethical, and statistical frameworks governing that domain. Medical literature often requires domain-specific expertise, including knowledge of clinical endpoints, pharmacokinetics, and trial methodology not captured by general structural integrity checks.
© 2026.LucidLock. All rights reserved.
Privacy Policy
Terms of Use