MUMBAI, India, Oct. 26 -- Intellectual Property India has published a patent application (202611122992 A) filed by Chalapathi Koneni on October 14, 2026, for System And Method For Tri-Source Agreement Scoring To Detect Structurally Valid Data Discrepancies Across Independent Evidence Sources.
Inventor includes Chalapathi Koneni.
The application for the patent was published on October 23, 2026, under issue no. 43/2026.
Abstract: The present invention provides a computer-implemented system and method for detecting structurally valid data discrepancies across three independent evidence sources. The system receives corresponding records, aligns and normalizes comparable fields while retaining provenance, evaluates the structural validity of each record, assigns source reliability weights, and computes a tri-source agreement score using structural, contextual, semantic, temporal, and source-quality features. A classification module distinguishes consistent evidence, inconsistent evidence, and structurally valid discrepancies in which records conform to applicable structural constraints but materially differ across sources. The system may generate an explanation, audit record, alert, or recommended action for downstream processing or human review. The invention is applicable to data reconciliation and validation in financial, healthcare, supply-chain, industrial, governmental, and other data-intensive environments. Accompanied Drawing [FIGS. 1-2].
Disclaimer: Curated by HT Syndication.
