Designed for journal editors, reviewers, and research institutions.
We review each request manually.
✅Checks structural logic in manuscripts
✅Verifies whether claims follow from methods
✅Detects structural errors in reasoning and citation linkage
✅Reports structural inconsistencies without judging content quality.
✅Prompt injection and coercive override tricks
✅Does not evaluate accuracy of scientific claims.
✅Does not replace peer review.
✅Does not judge author intent.
✅Does not score writing quality, style, or grammar.
✅Does not distinguish human vs AI authorship.
Provides clear, machine‑readable diagnostics.
Reports PASS/FAIL on structural criteria.
Explains flagged items with structured logic statements.
Each output includes gate verdict and precise rationale.
LucidLock operates before peer review. Peer review evaluates scientific claims.
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

Block prompt-injected fraud

Filter theses, journals, admissions

Stop hallucinated evidence

Review AI output before action
Explore Our Common Queries and Solutions
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.
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.
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.
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.
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.
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.
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.
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.
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