{"ID":2845755,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2511.03368","arxiv_id":"2511.03368","title":"TripleWin: Fixed-Point Equilibrium Pricing for Data-Model Coupled Markets","abstract":"The rise of the machine learning (ML) model economy has intertwined markets for training datasets and pre-trained models. However, most pricing approaches still separate data and model transactions or rely on broker-centric pipelines that favor one side. Recent studies of data markets with externalities capture buyer interactions but do not yield a simultaneous and symmetric mechanism across data sellers, model producers, and model buyers. We propose a unified data-model coupled market that treats dataset and model trading as a single system. A supply-side mapping transforms dataset payments into buyer-visible model quotations, while a demand-side mapping propagates buyer prices back to datasets through Shapley-based allocation. Together, they form a closed loop that links four interactions: supply-demand propagation in both directions and mutual coupling among buyers and among sellers. We prove that the joint operator is a standard interference function (SIF), guaranteeing existence, uniqueness, and global convergence of equilibrium prices. Experiments demonstrate efficient convergence and improved fairness compared with broker-centric and one-sided baselines. The code is available on https://github.com/HongrunRen1109/Triple-Win-Pricing.","short_abstract":"The rise of the machine learning (ML) model economy has intertwined markets for training datasets and pre-trained models. However, most pricing approaches still separate data and model transactions or rely on broker-centric pipelines that favor one side. Recent studies of data markets with externalities capture buyer i...","url_abs":"https://arxiv.org/abs/2511.03368","url_pdf":"https://arxiv.org/pdf/2511.03368v2","authors":"[\"Hongrun Ren\",\"Yun Xiong\",\"Lei You\",\"Yingying Wang\",\"Haixu Xiong\",\"Yangyong Zhu\"]","published":"2025-11-05T11:20:14Z","proceeding":"cs.LG","tasks":"[\"cs.LG\"]","methods":"[]","has_code":false,"code_links":[{"ID":607380,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_id":2845755,"paper_url":"https://arxiv.org/abs/2511.03368","paper_title":"TripleWin: Fixed-Point Equilibrium Pricing for Data-Model Coupled Markets","repo_url":"https://github.com/HongrunRen1109/Triple-Win-Pricing","is_official":false,"mentioned_in_paper":false,"mentioned_in_github":true,"github_stars":0}]}