arXiv (OAI Expanded)
open access
Core Up-To-One for Participatory Budgeting with Additive Utilities
We study participatory budgeting with additive utilities. We introduce a selection rule based on utility-weighted harmonic entropy and a cost penalty, and prove that it returns budget-feasible outcomes satisfying core-up-to-one.
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Keep It in Sight: Reward Function Compression Through Goal Visibility#469716
- ePACT: Energy-Performance-Aware Commitment Tracking for LLM Serving#1160971
- ePACT: Energy-Performance-Aware Commitment Tracking for LLM Serving#1157055
- Energy-Aware Two-Sided Learning for Dynamic Matching Games in Mobile Crowdsensing#1108687
- Energy-Aware Two-Sided Learning for Dynamic Matching Games in Mobile Crowdsensing#1077951
Record · ID 1109961
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive