The field of ultra-reliable low-latency communication is experiencing significant developments, driven by the need for resilient and efficient transmission protocols in mission-critical settings. Researchers are exploring innovative approaches to address the challenges posed by persistent and asymmetric link blockages, such as those caused by mobility, jamming, or adversarial attacks. A key direction in this field is the design of multilevel diversity coding schemes that can provide distinct reliability guarantees based on the priority of data streams, while maintaining low design and operational complexity. Another important area of research is the analysis of the impact of imperfect channel state information on the average achievable rate in cell-free massive MIMO systems. Furthermore, studies are investigating the potential of joint time-position statistics and Fisher information in drift-diffusion molecular channels to enhance the modeling and inference capabilities for molecular communication channels. Noteworthy papers in this area include: Two-Level Priority Coding for Resilience to Arbitrary Blockage Patterns, which proposes a novel multilevel diversity coding scheme that achieves the complete capacity region for two priority levels over three edge-disjoint paths. Average Achievable Rate Analysis of Cell-Free Massive MIMO in the Finite Blocklength Regime with Imperfect CSI, which provides a closed-form expression for the average achievable rate with imperfect CSI in the Laplace domain. Joint Time-Position Statistics and Fisher Information in Drift-Diffusion Molecular Channels, which derives an explicit joint probability density function for the first arrival time and first arrival position in diffusion-based molecular communication systems with drift.