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RA-Bench Runtime Authority Review Artifact
This anonymous review artifact contains the supplementary material for a NeurIPS 2026 Evaluations and Datasets submission on runtime authority evaluation for learned robot policies in structured-state simulation.
Files
supplementary_material.zip: self-contained benchmark, compact logs, figures, reports, verifier scripts, and reproduction checks.croissant_metadata.json: Croissant metadata with core fields and Responsible AI metadata.
Scope
The artifact supports structured-state MuJoCo tabletop pre-grasp simulation claims only. It should not be interpreted as evidence for physical robot safety, real camera sensing, real tactile sensing, real audio sensing, ROS2 hardware control, or deployment-ready robot control.
Integrity
supplementary_material.zipSHA256:3975c65fcfd00a3232e50fa871ebb48431eed9863503f9315ff3066685519e46croissant_metadata.jsonSHA256:752d1d7ade40cdbca068420a3078d52d9d53195780c70296b604703e6d931221
Review Use
Reviewers can download supplementary_material.zip, unpack it, and start from:
python3 supplementary_material/submission_checks/VERIFY_SUPPLEMENT.py
python3 supplementary_material/reproduction_core/RUN_REPRODUCIBILITY_CHECKS.py
The package is intentionally compact and contains selected logs plus aggregate summaries rather than raw full video or audio streams.
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