Reference Integrity
Examines whether cited publications are authentic and whether bibliographic details are accurate enough for independent verification.
About EAIPAM
EAIPAM — Evidence-Anchored Integrity and Publication Assessment Model
EAIPAM is an evidence-backed AI detection and scholarly manuscript integrity assessment platform designed for authors, editors, publishers and research institutions.
Evidence before inference
Why EAIPAM exists
AI-writing detection can identify text that warrants closer review, but an AI score alone cannot establish authorship, intent or misconduct. Scholarly writing also has to withstand scrutiny of its references, claims, scientific reasoning and supporting evidence. EAIPAM connects these layers so AI-involvement signals can be interpreted within the scholarly context of the manuscript.
Citation-to-Claim Alignment
Examines whether a cited source actually supports the statement, interpretation or conclusion associated with it.
Scientific Accuracy
Examines whether scientific statements, mechanisms, terminology and technical interpretations are factually and conceptually coherent.
Evidence Depth
Examines whether important claims are supported with sufficient specificity, quantitative evidence, comparison and acknowledgement of limitations.
Review evidence before submission
Identify AI-involvement signals together with reference, citation, scientific and evidence-depth issues that may warrant attention before a manuscript proceeds further in the publication process.
Support structured editorial review
Use traceable findings to focus editorial attention on issues that can be examined against references, claims and scientific context rather than relying on an AI percentage alone.
Apply a consistent assessment framework
Support research-quality and integrity workflows with a defined methodology and interpretable assessment criteria.
Decision support
Assessment evidence, not an allegation engine
EAIPAM findings are intended to support responsible scholarly and editorial review. They do not independently establish AI authorship, fabrication, plagiarism, research misconduct or other wrongdoing. Final interpretation and decisions remain with the responsible author, editor, publisher, institution or authorised decision-maker.