Test your understanding of PyTorch pickle reduce deserialization exploits, Safetensors binary header layout, neural backdoor attention weight perturbations, SFT dataset poisoning mechanics, cryptographic SHA-256 commit verification, and container sandbox isolation for untrusted AI model weights.
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How does arbitrary code execution occur during the deserialization of untrusted PyTorch .bin or .pt model checkpoint files stored in legacy Python pickle format?