Assumption Generation for Learning-Enabled Autonomous Systems -- Customizable Reference Runtime Monitoring of Neural Networks using Resolution Boxes -- Scalable Stochastic Parametric Verification with Stochastic Variational Smoothed Model Checking -- Monitoring Blackbox Implementations of Multiparty Session Protocols -- Specification Parameters for Multi-Class Classification -- General Anticipatory Monitoring for Temporal Logics on Finite Traces -- Metric First-order Temporal Logic with Complex Data Types -- Runtime Verification Prediction for Traces with Data -- Monitoring Hyperproperties With Prefix Transducers -- Compositional Simulation-Based Analysis of AI-Based Autonomous Systems for Markovian Specifications -- Decentralized Predicate Detection over Partially Synchronous Continuous-Time Signals -- Flexible Runtime Security Enforcement with Tagged C -- Pattern Matching for Perception Streams -- Learning Monitor Ensembles for Operational Design Domains -- Monitoring Algorithmic Fairness underPartial Observations -- AMT: a Runtime Verification Tool of Video Streams -- Bridging the Gap: A Focused DSL for RV-Oriented Instrumentation with BISM -- CCMOP: A Runtime Verification Tool for C/C++ Programs -- A Stream Runtime Verification Tool with Nested and Retroactive Parametrizations -- eMOP: A Maven Plugin for Evolution-Aware Runtime Verification -- Runtime Monitoring of Accidents in Driving Recordings with Multi-Type Logic in Empirical Models -- Safety Monitoring for Pedestrian Detection in Adverse Conditions -- Instrumentation for RV: From Basic Monitoring to Advanced Use Cases -- Runtime Monitoring DNN-based Perception -- Monitorability for Runtime Verification -- Learning-Based Approaches to Predictive Monitoring with Conformal Statistical Guarantees.