TokenSpeed CuteDSL KDA

The current package requires PyTorch 2.14.0 and CUDA 13. Its AOT payloads retain their original hashes and TVM-FFI ABI; the runtime dependency update does not rebuild or change the kernel math.

The release workflow checks both host architectures, then compares GPU outputs and final states with the previous Torch 2.13.0 package and verifies CUDA Graph replay. Publication requires these checks to pass on main. Historical payload validation in PROVENANCE.json does not establish validation of the new runtime.

Dependency validation reports one narrowly checked upstream packaging exception: NVIDIA's ARM64 nvidia-cusparselt-cu13==0.8.1 wheel declares an internal sbsa tag. The workflow accepts only that sole pip check diagnostic after verifying Linux AArch64, the exact version/tag, the official library payload hash, its ELF architecture and successful loading. Other dependency failures block release; this exception does not establish GPU runtime compatibility.