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When benchmark inferences do not compose: Projectibility in AI evaluation

arXiv cs.AI · yesterday Cached

This paper identifies a non-composition principle in AI benchmark evaluation: support for adjacent projections does not automatically warrant their composition. It proposes a projectibility audit to diagnose unsupported joins in benchmark-to-use arguments, with a legal-research case study and simulations.

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