Pre-trained models are added late in projects, accumulate rather than get replaced, and change three times less often than libraries, with distinct documentation driven by capability needs and testing uncertainty.
On a test of whether one of two random variables is stochastically larger than the other
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
years
2026 2verdicts
UNVERDICTED 2representative citing papers
Random quantum circuits distort hypergraph partitioning evaluations by inflating cut costs and altering strategy rankings, while structured generated circuits more closely match real algorithmic workload behavior.
citing papers explorer
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When AI Models Become Dependencies: Studying the Evolution of Pre-Trained Model Reuse in Downstream Software Systems
Pre-trained models are added late in projects, accumulate rather than get replaced, and change three times less often than libraries, with distinct documentation driven by capability needs and testing uncertainty.
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On the Distortion of Partitioning Performance by Random Quantum Circuits
Random quantum circuits distort hypergraph partitioning evaluations by inflating cut costs and altering strategy rankings, while structured generated circuits more closely match real algorithmic workload behavior.