Migrate the package and examples to the tensor-native PyTorch implementation, add benchmark evidence, and add the guarded post-training convergence protocol with TensorBoard progress monitoring and hash-verified recovery.
Constraint: Preserve one-shot official-test sealing and auditable research artifacts
Rejected: Commit local .omc runs and downloaded datasets | multi-gigabyte runtime state is machine-local
Confidence: high
Scope-risk: broad
Not-tested: Production CUDA run on pieroot-server
jung-geun
jung-geun