Dear Editors, We are pleased to submit our manuscript entitled “Empirical Analysis of Chain-of-Thought and Solver-Augmented Large Language Models for Deductive Reasoning” for consideration in the Special Issue on Trustworthy Neurosymbolic AI in Regulated Domains: Advances, Challenges, and Applications of the Neurosymbolic AI Journal. This article systematically compares chain-of-thought (CoT) and solver-augmented approaches for deductive reasoning with large language models, evaluating their performance on established benchmarks and controlled synthetic datasets. The work directly aligns with the theme of the special issue, contributing to the trustworthiness, robustness, and verifiability of neurosymbolic AI systems in regulated domains. We confirm that this manuscript is original, has not been published previously, and is not under consideration for publication elsewhere. All authors have approved the submission. We kindly ask you to consider this manuscript for inclusion in the special issue. Thank you very much for your time and consideration. We look forward to hearing from you. Sincerely, Ya Wang Fraunhofer Institute FOKUS & Freie Universität Berlin