coverage float64 0.8 0.8 | posture_efficiency_ci95_high float64 0.25 0.45 | posture_efficiency_ci95_low float64 0.19 0.24 | posture_efficiency_mean float64 0.22 0.34 | readiness_ci95_high float64 0.58 0.75 | readiness_ci95_low float64 0.52 0.67 | readiness_mean float64 0.55 0.71 | source_table stringclasses 1
value | step int64 0 10 | sustainment_cost_ci95_high float64 4.76 17.4 | sustainment_cost_ci95_low float64 2.04 8.78 | sustainment_cost_mean float64 3.4 13.1 |
|---|---|---|---|---|---|---|---|---|---|---|---|
0.8 | 0.25 | 0.191 | 0.221 | 0.753 | 0.671 | 0.712 | results/tables/exp1_metrics.tex | 0 | 17.424 | 8.776 | 13.1 |
0.8 | 0.447 | 0.241 | 0.344 | 0.705 | 0.638 | 0.671 | results/tables/exp1_metrics.tex | 1 | 6.072 | 2.328 | 4.2 |
0.8 | 0.433 | 0.242 | 0.337 | 0.65 | 0.599 | 0.624 | results/tables/exp1_metrics.tex | 2 | 4.757 | 2.043 | 3.4 |
0.8 | 0.393 | 0.216 | 0.304 | 0.613 | 0.562 | 0.587 | results/tables/exp1_metrics.tex | 3 | 5.784 | 2.216 | 4 |
0.8 | 0.283 | 0.221 | 0.252 | 0.597 | 0.553 | 0.575 | results/tables/exp1_metrics.tex | 4 | 6.937 | 3.063 | 5 |
0.8 | 0.267 | 0.21 | 0.239 | 0.582 | 0.526 | 0.554 | results/tables/exp1_metrics.tex | 5 | 7.131 | 3.269 | 5.2 |
0.8 | 0.264 | 0.211 | 0.238 | 0.582 | 0.524 | 0.553 | results/tables/exp1_metrics.tex | 6 | 7.131 | 3.269 | 5.2 |
0.8 | 0.264 | 0.207 | 0.236 | 0.591 | 0.533 | 0.562 | results/tables/exp1_metrics.tex | 7 | 7.601 | 3.599 | 5.6 |
0.8 | 0.264 | 0.202 | 0.233 | 0.59 | 0.528 | 0.559 | results/tables/exp1_metrics.tex | 8 | 7.873 | 3.727 | 5.8 |
0.8 | 0.261 | 0.2 | 0.231 | 0.602 | 0.535 | 0.569 | results/tables/exp1_metrics.tex | 9 | 8.273 | 4.127 | 6.2 |
0.8 | 0.249 | 0.195 | 0.222 | 0.599 | 0.541 | 0.57 | results/tables/exp1_metrics.tex | 10 | 9.057 | 4.543 | 6.8 |
Posture And Sustainment Optimization
This dataset contains research artifacts for Posture and Sustainment Optimization, a benchmark and simulation project for optimizing distributed posture, readiness, and sustainment decisions under uncertainty.
Source repository: https://github.com/anote-ai/research-postureandsustainmentoptimization
Displayable Configs
The Hugging Face viewer reads normalized JSONL tables under viewer/:
exp1_metrics: greedy placement baseline metrics across time steps.exp1_sensitivity: scenario-weighted readiness under uniform and skewed threat distributions.exp1_significance: statistical tests and effect sizes reported for Experiment 1.exp1_variance_decomposition: two-level variance decomposition for scenario-weighted readiness.sustainbench_categories: benchmark scenario category overview from the design document.file_manifest: source artifact paths, sizes, and SHA-256 hashes.
Source Artifacts
The original project artifacts remain available in this dataset repo:
Research-PostureAndSustainmentOptimization-data.zip: bundled source/data artifact from the repository.source/: README, design document, source code, scripts, tests, and package metadata.paper/: LaTeX paper source and PDF artifact.results/: original LaTeX result tables and Experiment 1 figure files.
Use Notice
These artifacts are synthetic/offline research outputs for reproducibility and academic evaluation. They should not be interpreted as operational recommendations without independent validation.
License
MIT. See the source repository for details.
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