Tootfinder

Truthful, Credible, and Optimal Auctions for Matroids via Blockchains and Commitments
Aadityan Ganesh, Qianfan Zhang
https://arxiv.org/abs/2507.04592 https…

Truthful, Credible, and Optimal Auctions for Matroids via Blockchains and Commitments
We consider a revenue-optimizing auctioneer in single-dimensional environments with matroid feasibility constraints. Akbarpour and Li (2020) argue that any revenue-optimal, truthful, and credible mechanism requires unbounded communication. Recent works (Ferreira and Weinberg, 2020; Essaidi et al., 2022; Chitra et al., 2024) circumvent their impossibility for the single-item setting through the use of cryptographic commitments and blockchains. We extend their results to matroid feasibility const…

(2020) Want to reduce the carbon footprint of your food? Focus on what you eat, not whether your food is local #environment

You want to reduce the carbon footprint of your food? Focus on what you eat, not whether your food is local
“Eat local” is a common recommendation to reduce the carbon footprint of your diet. How does the impact of what you eat compare to where it's come from?

faculty_hiring_us: Faculty hiring networks in the US (2022)
Networks of faculty hiring for all PhD-granting US universities over the decade 2011–2020. Each node is a PhD-granting institution, and a directed edge (i,j) indicates that a person received their PhD from node i and was tenure-track faculty at node j during time of collection (2011-2020). This dataset is divided into separate networks for all 107 fields, as well as aggregate networks for 8 domains, and an overall network for …

psi: Plant Photosystem I excitation energy transfer network (2020)
Weighted directed network of the light-harvesting Photosystem Ι (PSI) of the plant Pisum sativum. The nodes represent chromophores with different identities (i.e. chlorophyll a, chlorophyll b, β-carotene and derivates, lutein, violaxanthin), while edges represent FRET transfer between chromophores. The link directionality connecting nodes in the PSI network depends on the energy levels of the connected chromophores. The…

This https://arxiv.org/abs/2404.13164 has been replaced.
link: https://scholar.google.com/scholar?q=a

Least Squares Estimation For Hierarchical Data
The U.S. Census Bureau's 2020 Disclosure Avoidance System (DAS) bases its output on noisy measurements, which are population tabulations added to realizations of mean-zero random variables. These noisy measurements are observed for a set of hierarchical geographic units, e.g., the U.S. as a whole, states, counties, census tracts, and census blocks. The Census Bureau released the noisy measurements generated in the DAS executions for the two primary 2020 Census data products, in part to allow da…