Description: In the official visionOS 26 Hover Effect sample code project , I encountered an issue where the event.trackingAreaIdentifier returned by onSpatialEvent does not reset as expected. Steps to Reproduce: Select an object with trackingAreaID = 6 in the sample app. Look at a blank space (outside any tracking area) and perform a pinch gesture . Expected Behavior: The event.trackingAreaIdentifier should return 0 when interacting with a non-tracking area. Actual Behavior: The event.trackingAreaIdentifier still returns 6, even after restarting the app or killing the process. This persists regardless of where the pinch gesture is performed

Hello, I recently watched the WWDC2025 session titled “Combine Metal 4 machine learning and graphics” (https://developer.apple.com/videos/play/wwdc2025/262/ ), and I’m very excited about the new Metal 4 features that integrate machine learning with graphics—such as neural ambient occlusion, shader-based ML inference, and the use of MTLTensor and MTL4MachineLearningCommandEncoder. While the session includes helpful code snippets and a compelling debug demo (e.g., the neural ambient occlusion example), the implementation details are not fully shown, and I haven’t been able to find a complete, runnable sample project that demonstrates end-to-end integration of ML and rendering in Metal 4. Would Apple be able to provide a full, working example—such as an Xcode project—that shows how to: Export a model to an .mlpackage, Convert it to an .mtlpackage, Use MTL4MachineLearningCommandEncoder alongside render passes, Or embed small neural networks directly in shaders using Shader ML? Having such a sample would greatly help developers like me adopt these powerful new capabilities correctly and efficiently. Thank you very much for your time and support! Best regards,