š¬ Reproducibility Center
FAIR-compliant experiment tracking and validation | Ensures your simulations are 100% reproducible
š Experiment Management
Start New Experiment
š” Tip: Use descriptive names like "cpu_scaling_1000_nodes" to easily identify experiments later.
Reproduce Experiment
š” Tip: Reproduction uses the exact same random seed and parameters as the original experiment.
šļø ACM Artifact Badges
š
Artifacts Available Code and data available
š§ Artifacts Evaluated Complete working system
š Artifacts Reusable Reusable for research
š¬ Results Reproduced Independently verified
š Results Replicated Multiple confirmations
š” What are these? ACM badges are the gold standard for research reproducibility. TransForgeX1 meets the first three badges automatically!
š¬ Validation Suite
š” What it tests: Deterministic execution, random seed consistency, parameter handling, and result persistence.
š¦ Export Options
š” Why export? Share your complete experiment environment with collaborators or cite your results with a permanent DOI.
š Recent Experiments
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š” Click any experiment to select it for reproduction or comparison.
š Reproducibility Report
š² Random Seed: Not set
š Python Version: -
ā Deterministic: -
š Python Version: -
ā Deterministic: -