Year: 2026
Type: conference-paper
Abstract: Structured compliance validation requires determining whether every obligation in a predefined requirement space is satisfied, violated, or unaddressed by a given document.This can be described as a coverage problem that existing retrieval and classification systems, by treating requirements as independent, are not designed to solve.We introduce Universal Content Validation Engine (UCVE), a domainagnostic framework that represents compliance requirement spaces as a Contextual Requirement Graph (CRG) and performs retrieval via spectral reranking over its reinforcement learning-weighted Laplacian.Edges between requirement nodes are learned via reinforcement learning with a traversal reward grounded in violation detection, reshaping the graph's community structure such that low-pass spectral filtering distinguishes relevant from irrelevant obligation clusters.Evaluating across three compliance domains, UCVE averages 4.3% matched-K recall lift over flat cosine retrieval and consistently outperforms strong retrieval and graph-based baselines.
Institution: Capital One (United States)
Language: English
Topic: Topic Modeling
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: bronze
OpenAlex ID: W7224092631