Email: info@iasrd.com
Email: info@iasrd.com
The TRACE-AI White Paper presents the TRACE-AI framework, its underlying methodology, and supporting software documentation. The full-text PDF is hosted on the IASRD website, with a corresponding metadata record maintained in OJS.
Authors: Sadia Rehman, Muhammad Amin ur Rehman Khan
Version: v1.0-beta | Volume 2, Issue 1 (2026)
TRACE-AI is an evidence-based research intelligence platform designed to support transparent and auditable analysis of research documents. The platform aims to improve evidence traceability by linking findings to supporting source material and presenting confidence assessments and audit trails. AI assistance, where used, does not replace the evidence verification framework. TRACE-AI is guided by the core design principle: "No Evidence = No Claim." The current release (v1.0-beta) represents an external review version intended for validation and feedback rather than a final production release.