Dear Guest Editors, Please consider the enclosed manuscript, "The Principle of Naturality: An Explainable Neuro-Symbolic Framework for Detecting Latent Convergence in Multi-Agent Inferential Structures," for the SPECIAL ISSUE ON EXPLAINABLE NEUROSYMBOLIC AI (X-NeSy) of Neurosymbolic Artificial Intelligence. The paper presents a transparent-by-design hybrid architecture in the compositional Symbolic[Neural] sense: neural stages (sentence embeddings, cross-encoder NLI, LLM verification) act strictly as candidate generators, while a symbolic layer issues a pairwise certificate the neural layer cannot overrule. Its primary output is not an agreement score but a structured, auditable explanation --- the convergence point, the per-agent inferential paths that reach it, the per-pair certificates that license it, and a normative (bargaining-theoretic) justification of its selection. We believe this matches the special issue's focus on models with built-in transparency and high-fidelity symbolic explanations that go beyond feature attribution. Three aspects may be of particular interest to X-NeSy readers: (i) a three-stage validation cascade whose error modes are measured and reported per stage; (ii) an axiomatically unique support geometry induced by the certificate, making the equity of every detected consensus an inspectable quantity; and (iii) an evaluation over four heterogeneous cases that includes a fully fictional control isolating framework behavior from language-model memorization, plus baselines and a stage ablation. The manuscript is original, is not under consideration elsewhere, and has not been previously published. A reproducibility archive (certified graphs, scripts, and JSON artifacts) is deposited at Zenodo (DOI: 10.5281/zenodo.18620115). An earlier version of this work received Second Place in the 2026 GCSP Prize for Transformative Futures in Peace and Security (Geneva Centre for Security Policy), among 337 submissions from 95 countries; this is disclosed in the manuscript. I am aware of and welcome the journal's open and transparent review policy. Thank you for your consideration. Sincerely, Elio Javier Gogol Merletti Information Systems Engineer; independent AI researcher 3D.NET --- Mendoza, Argentina javier_gogol@hotmail.com ORCID: 0009-0004-4294-4816