The field is moving towards increased transparency and consistency in various domains, including railway infrastructure management, distributed asynchronous applications, and cloud analytics. Researchers are exploring innovative solutions, such as zero-knowledge proofs and distributed frameworks, to enable public transparency and trust while ensuring scalability and performance. Notably, new programming models and auditable data structures are being developed to address challenges in event-driven architecture and data management. Some papers are making significant contributions to the field, including: From Paper Trails to Trust on Tracks, which introduces a system for adding public transparency to railways using zk-SNARKs. vMODB, a distributed framework that enables the implementation of highly consistent and scalable cloud applications without compromising the benefits of event-driven architecture. LakeVilla, a solution that introduces recovery, multi-query/table transactions, and transaction isolation to state-of-the-art open table formats. Auditing without Leaks Despite Curiosity, which presents a refined definition of auditability and a wait-free implementation of a multi-writer, multi-reader register that tracks effective reads while preventing unauthorized audits.