Information-theoretic Limits of Learning and Estimation

Collection of new arXiv submissions (Information Theory / Communications / Cryptography) covering theoretical and applied advances. Major contributions include: an information-theoretic primer on learning and minimax estimation (concentration, metric entropy, Fano bounds); near-field channel estimation for XL-RIS-aided mmWave MIMO using polar-domain sparsity and low-overhead two-stage estimation; capacity and secrecy comparisons for Arbitrarily Varying Wiretap Channels and generalized AVWCs under semantic/cryptographic secrecy notions; a variable-length source-encryption framework with mutual‑