šŸ“Š Experiment Management ?

Start New Experiment

šŸ’” Tip: Use descriptive names like "cpu_scaling_1000_nodes" to easily identify experiments later.

Reproduce Experiment

šŸ’” Tip: Reproduction uses the exact same random seed and parameters as the original experiment.

šŸŽ–ļø ACM Artifact Badges ?

šŸ… Artifacts Available Code and data available
šŸ”§ Artifacts Evaluated Complete working system
šŸ“Š Artifacts Reusable Reusable for research
šŸ”¬ Results Reproduced Independently verified
šŸ“ˆ Results Replicated Multiple confirmations
šŸ’” What are these? ACM badges are the gold standard for research reproducibility. TransForgeX1 meets the first three badges automatically!

šŸ”¬ Validation Suite ?

šŸ’” What it tests: Deterministic execution, random seed consistency, parameter handling, and result persistence.

šŸ“¦ Export Options ?

šŸ’” Why export? Share your complete experiment environment with collaborators or cite your results with a permanent DOI.

šŸ“‹ Recent Experiments ?

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šŸ’” Click any experiment to select it for reproduction or comparison.

šŸ” Reproducibility Report ?

šŸŽ² Random Seed: Not set
šŸ Python Version: -
āœ… Deterministic: -