Dear Editors, Please consider our manuscript, "Robust Long-Context Multilingual Retrieval and Reasoning Enabled by Combined Neural and Symbolic Techniques," for the NAI Journal’s special issue of extended papers from the 19th International Conference on Neurosymbolic Learning and Reasoning (NeSy 2025). This work substantially extends our NeSy 2025 paper, "Enhancing large language models with neurosymbolic reasoning for multilingual tasks." In line with the special issue guidelines, we provide several major contributions: - Formalization of CROSS: A complete introduction of the CROSS framework, only preliminarily outlined in the conference version. - Expanded Evaluation: A rigorous bidirectional cross-lingual assessment across 49 language pairs and seven languages. - New Benchmark (mLongRR-V2): Enriched with greater linguistic diversity, new retrieval and reasoning tasks, and stronger evaluation of cross-lingual performance. - Comprehensive Analysis: Detailed 1-needle and 3-needle protocols showing up to 92% retrieval accuracy and a fivefold reduction in reasoning failures. These additions deliver deeper insights, broader evaluation, and significant new contributions beyond the conference paper. The submission fully complies with author guidelines and cites the original publication. Thank you for your consideration. We look forward to your response. Sincerely, Sina Bagheri Nezhad and Ameeta Agrawal Portland State University