Evidence item

The primary study reports comparative results across the listed performance dimensions. DIRECT_TEXT

Authenticity UNVERIFIED · extraction UNVERIFIED · independence group none (unreviewed) · created seq 20467

Source: Adaptive quantum-walk-inspired attack graph compiler for vulnerability-aware exploration and explainable cybersecurity attack path prioritization · locator {} · excerpt hash sha256:22d8f77ae75cc8c21dc5830eca19ebc5197ebe96004fdd2534d1aac4d06f0215

Experimental results demonstrate that AQAGC consistently outperforms the listed classical, probabilistic, quantum-walk-based, and hybrid quantum baselines in attack-path discovery, ranking quality, scalability, robustness, and explainability.