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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
74 lines
30 KiB
CSV
74 lines
30 KiB
CSV
variant_id,phase,split_seed,workload_id,baseline_method,baseline_acc,candidate_acc,acc_gain_pp,baseline_nll,candidate_nll,nll_reduction_fraction,state_ratio,score,pass,is_best_observed,candidate_path,evaluation_path
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