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Replaced article(s) found for cs.DC. https://arxiv.org/list/cs.DC/new
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- Keep Your Friends Close: Leveraging Affinity Groups to Accelerate AI Inference Workflows
Thiago Garrett, Weijia Song, Roman Vitenberg, Ken Birman

No Thoughts Just AI: Biased LLM Recommendations Limit Human Agency in Resume Screening
Kyra Wilson, Mattea Sim, Anna-Maria Gueorguieva, Aylin Caliskan
https://arxiv.org/abs/2509.04404

No Thoughts Just AI: Biased LLM Recommendations Limit Human Agency in Resume Screening
In this study, we conduct a resume-screening experiment (N=528) where people collaborate with simulated AI models exhibiting race-based preferences (bias) to evaluate candidates for 16 high and low status occupations. Simulated AI bias approximates factual and counterfactual estimates of racial bias in real-world AI systems. We investigate people's preferences for White, Black, Hispanic, and Asian candidates (represented through names and affinity groups on quality-controlled resumes) across 1,…

The Lipid Interactome: An interactive and open access platform for exploring cellular lipid-protein interactomes
Gaelen Guzman, Andr\'e Nadler, Frank Stein, Jeremy M. Baskin, Carsten Schultz, Fikadu Tafesse
https://arxiv.org/abs/2507.23101

The Lipid Interactome: An interactive and open access platform for exploring cellular lipid-protein interactomes
Lipid-protein interactions play essential roles in cellular signaling and membrane dynamics, yet their systematic characterization has long been hindered by the inherent biochemical properties of lipids. Recent advances in functionalized lipid probes -- equipped with photoactivatable crosslinkers, affinity handles, and photocleavable protecting groups -- have enabled proteomics-based identification of lipid interacting proteins with unprecedented specificity and resolution. Despite the growing …