Files
PSO/benchmark_results/pso_v6_heavy_autoresearch.csv
jung-geun 813433000a 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
2026-09-07 22:03:25 +09:00

1.2 KiB

1workloadsplitseedsaccuracy_meanaccuracy_sdnll_meannll_sdaccuracy_gain_vs_baseline_pprelative_nll_reduction_vs_baseline_pctstate_ratioratioprojection_modeprojection_seed
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5mnist_wideconfirmation_seeds_111_113111-11345.7233331.056331.7349050.0344611.863333-0.7927920.50.5explicit592157828
6fashion_compactdevelopment_seeds_101_103101-10350.7966673.0952281.3853240.0356463.7933348.3305710.49180327868852460.5fixed1363313651
7fashion_compactconfirmation_seeds_111_113111-11353.1966672.0256691.3281680.0784886.19333412.1126880.49180327868852460.5fixed1363313651
8fashion_widedevelopment_seeds_101_103101-10348.2633333.718621.5314210.0699861.953333-0.3718830.50.5fixed189641451
9fashion_wideconfirmation_seeds_111_113111-11349.4766674.2502511.5138760.0670963.1666670.7780450.50.5fixed189641451