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Restoration pass (selective, based on Three-Job Rule audit): - introduction: restore fn-eliza-brittleness, fn-dartmouth-systems, fn-bobrow-student - data_engineering: restore fn-soc-always-on (always-on island architecture) - benchmarking: restore fn-glue-saturation (Goodhart's Law arc, 1-year saturation) Group A surgical edits: - nn_computation: remove fn-overfitting (Context=1, Tether=1 — only confirmed failure) - training: strip dead etymology from fn-convergence-training, fn-hyperparameter-training - model_serving: enrich fn-onnx-runtime-serving with 5–15% TensorRT throughput figure Group B new footnotes: - nn_computation: add fn-alexnet-gpu-split (GTX 580 3 GB ceiling → model parallelism lineage) - responsible_engr: add fn-zillow-dam (D·A·M decomposition of $304M failure)