Benchmark Skateboard: Signed Rotations and Flight-Time Constraints

Benchmark Skateboard tests consistency between signed rotations, projectile arithmetic, and landing constraints under an explicit simplified model. Its 72 public tasks cross 24 trick definitions with three gravity settings. We evaluate scripted controls through the benchmark runner and conduct a simulated population experiment with numeric and rotation corruption. A glossary-assisted analytic control reaches full credit on every task. Reversing rotation signs retains a mean score of 0.780, showing why partial credit must accompany complete-answer accuracy. Numeric perturbations reveal a sharp tolerance boundary with an absolute rounding-floor exception. Simulated repair layers separate arithmetic recovery from consistency with corrupted rotations. All results are generated locally without paid inference. These findings characterize the measurement instrument; they do not establish learned-model skill or real-world skateboarding ability.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-10-29
DOI
https://doi.org/10.5281/zenodo.23752428
Primary Topic
Teaching and Learning Programming
Type
preprint
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preprint

Benchmark Skateboard: Signed Rotations and Flight-Time Constraints

Pooria Arab
2 links
Zenodo (CERN European Organization for Nuclear Research)
Teaching and Learning Programming
preprint

Benchmark Skateboard: Signed Rotations and Flight-Time Constraints

Pooria Arab
preprint en

Abstract

Benchmark Skateboard tests consistency between signed rotations, projectile arithmetic, and landing constraints under an explicit simplified model. Its 72 public tasks cross 24 trick definitions with three gravity settings. We evaluate scripted controls through the benchmark runner and conduct a simulated population experiment with numeric and rotation corruption. A glossary-assisted analytic control reaches full credit on every task. Reversing rotation signs retains a mean score of 0.780, showing why partial credit must accompany complete-answer accuracy. Numeric perturbations reveal a sharp tolerance boundary with an absolute rounding-floor exception. Simulated repair layers separate arithmetic recovery from consistency with corrupted rotations. All results are generated locally without paid inference. These findings characterize the measurement instrument; they do not establish learned-model skill or real-world skateboarding ability.

Zenodo (CERN European Organization for Nuclear Research)
Teaching and Learning Programming
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