Longitudinal Report Generation with LLM-Based Agents: Architecture, Consistency Mechanisms, and Empirical Evidence
Abstract
A comprehensive review of LLM-based autonomous agents as report generation systems operating over extended time horizons. Examines architectural patterns for maintaining consistency across sessions, empirical evidence from deployed systems, memory management strategies, drift detection, and quality assurance frameworks. Proposes a reference architecture for production-grade longitudinal reporting agents.
Fields of Study & Subjects
Topic Modeling
Artificial Intelligence Applications
AI-based Problem Solving and Planning
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 9 March 2026
- Language
- EN