Claims

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As of snapshot 27745 under ledger-default@0.3.0.

Claim	Type	Assessment	Score	Review checks	References
In the study’s experiments, AQAGC outperformed the reported classical, probabilistic, quantum-walk and hybrid baselines across attack-path discovery, ranking, scalability, robustness and explainability measures.	OBSERVATIONAL	Supported	0.9781	1 of 4	97
The study evaluated its attack-graph framework on a derived benchmark spanning four intrusion-detection datasets and graph sizes from 50 to 5000 nodes.	QUANTITATIVE	Supported	0.9734	1 of 4	148
The study proposed AQAGC, a hybrid quantum–classical attack-graph framework for attack-path discovery, prioritization and explainable cyber-risk analysis.	OBSERVATIONAL	Supported	0.9734	1 of 4	86