PAPER 3: THE LIBRARY OF EVENTS 2 CASE STUDY - EMPIRICAL PROOF AND REPLICATION STUDIES; 10-Paper Series on Compressed Communication & Cognitive Acceleration; Paper 3 of 10: Empirical Validation
Year: 2025
Type: article
Abstract: Comprehensive empirical validation of RRC-AI System Writing through LoE2 case study (100:1 compression, 95%+ fidelity, police acceptance) and replication study with 20 practitioners across 5 domains. Demonstrates that 5-year complex life events (2,600+ incidents) can be compressed into 26 pages while achieving professional quality. Replication study shows: average 19:1 compression (range 8:1-40:1), 92% average semantic fidelity, 100% professional acceptance across legal, scientific, business, technical, and educational domains. Identifies success factors: experienced practitioners outperform novice (22:1 vs. 14:1), domain knowledge significant, structured source material essential. Documents failure modes and boundary conditions establishing when RRC-AI-SW achieves 20:1-100:1 vs. when limited to 3:1-8:1.
Author: Chalupka, Rafal
Language: English
Topic: Topic Modeling
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7104432285
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