Graph-spectral analysis identifies latent structures and branching patterns in hadronic systems, suggesting robust validation mechanisms.
This work presents a graph-spectral analysis of hadronic systems based on PDG-derived features.A low-dimensional latent structure is identified, revealing coherent branching patterns and heavy-flavor outliers.The study emphasizes robustness across chart constructions and provides a conservative validation framework for data-driven physical embeddings. This record is deposited for authorship and priority purposes. Access is currently restricted.
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Jonathan Mathieu (2026) studied this question.
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