[VforVitorio]

Summary

• Upgrade the Windows CUDA stack to Torch 2.13.0+cu130 and torchvision 0.28.0+cu130; retain CPU wheels on Linux and macOS.
• Upgrade setuptools to 84.2.1 and remove the three OSV waivers fixed by these versions.
• Update dependency guidance and record the adversarial review and execution evidence.

Verification

• Full test suite: 1,710 passed on Windows Python 3.11.14 and 1,710 on Python 3.12.12.
• Full 57-lap Lusail simulation on both runtimes, offline and with LLM calls disabled.
• CUDA operations, TorchVision NMS, and one-batch Lightning training on the RTX 5070 Laptop GPU.
• Offline CUDA BGE-M3 retrieval from local Qdrant and real Whisper transcription from cached radio audio on both runtimes.
• Ruff check and format, mypy, frozen lock validation, and wheel build passed.

Remaining coverage limit

The full model-training notebooks and checkpoint save/resume were not run. Lightning 2.6.6's published compatibility matrix lists Torch 2.10 as its last CI-tested version; the Torch 2.13 combination passed a one-batch GPU smoke test. Pillow advisories remain blocked by stable Arcade 3.3.3's Pillow constraint. The Telemetry submodule is unchanged and retains its separate dependency stack.

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