Guard the Quality of
Every Submission
AiScholar Integrity Manager is an AI-driven research integrity screening platform that equips conferences and journals with multi-layered integrity checks — from AI-generated content detection to fabricated references — all in a single, streamlined workflow.
Five Shields of Research Integrity
Each module is independently deployable and can be combined into a complete
component pipeline to meet your editorial and peer-review workflow needs.
AI-Generated Content Detection
Our system integrates leading academic AIGC detectors to identify sections likely authored by ChatGPT, Claude, Gemini, and other generative tools. It produces per-paragraph probability scores with highlighted evidence, helping editors apply clear disclosure policies rather than guesswork.
Plagiarism Detection
Our system integrates authoritative plagiarism detection modules covering 100 million+ scholarly articles, preprints, theses, and web sources, surfacing exact matches, paraphrased content, and cross-lingual similarities. Results are delivered as a structured similarity report with color-coded source attribution.
Image Integrity Screening
Powered by the Figcheck 2.0 detection engine, this module scans every figure for duplication, brightness or contrast manipulation, inappropriate splicing, and AI-generated imagery — including microscopy, gels, charts, and clinical scans. Based on 5,000+ pre-release test cases, the engine detects over 98% of duplicate images.
Citation Abuse Detection
Coercive citations, excessive self-referencing, and coordinated citation rings distort academic impact metrics and scholarly integrity. Our network-analysis module maps citation graphs to expose anomalous patterns, flagging over-citation of specific authors or journals and helping your editorial board maintain unbiased bibliometric standards.
Fabricated Reference Detection
Hallucinated references — a known side-effect of LLM-assisted writing — can slip through traditional peer review unnoticed. Our reference verification engine validates every cited work against live DOI registries, CrossRef, PubMed, and arXiv, flagging non-existent titles, wrong authors, and incorrect publication details.
Why AiScholar Integrity Check Suite?
Designed for journals, conferences, and editorial teams, AiScholar Integrity Check Suite brings critical integrity checks into one consistent, publication-ready workflow.
One Platform, Complete Coverage
Eliminate tool switching with a unified workflow that brings AI-content, plagiarism, image, citation, and reference checks together in one place.
Modular for Editorial Workflows
Built to support editorial policies shaped by COPE, STM, and widely adopted international expectations for journal and conference integrity review.
Actionable, Editor-Ready Insights
Review visualized reports with traceable evidence, highlighted risk signals, and structured findings that help editors make faster, more confident decisions.
Secure by Design
Protect sensitive submissions with end-to-end safeguards, controlled data handling, and confidentiality practices aligned with responsible research oversight.
From Submission to Verified Report in Minutes
A fully automated, editor-in-the-loop pipeline, available as a self-selectable add-on within the AiScholar Conference Management System.
What Editors and Organizers Say
"Since deploying AiScholar Integrity Manager, we caught AI-generated submissions that would have passed our previous single-tool review. The parallel screening saves our editorial team hours every week."
"The fabricated reference module alone justified the investment. We discovered that nearly 8% of submitted papers contained at least one non-verifiable DOI, a problem invisible to traditional plagiarism checks."
"The API integration with our OJS instance took less than an afternoon. The per-module threshold configuration lets us maintain a policy that is firm on AI disclosure but flexible on citation norms for review articles."
Ready to Safeguard Your Publication?
Join 5,600+ academic conferences and journals worldwide that trust AiScholar to uphold research integrity.Schedule a live demo or launch a free pilot today.
