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feat: modernize PSO and add convergence research
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
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@@ -26,4 +26,12 @@ logs/
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발표 자료/
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.vscode/
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metacode/
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metacode/
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# uv / venv
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.venv/
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.uv/
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# Local research execution state and large downloaded datasets
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.omc/
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runs/
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