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arXiv:2509.16333v2 Announce Type: replace-cross Abstract: Communication over a quantum multiple access channel (MAC) is considered with classical feedback. Since the no-cloning prohibits universal copying of...
arXiv:2509.22138v2 Announce Type: replace-cross Abstract: Wasserstein distances define a metric between probability measures on arbitrary metric spaces, including meta-measures (measures over measures). The resulting Wasserstein...
arXiv:2510.20220v2 Announce Type: replace-cross Abstract: Recent research has focused on mitigating algorithmic bias in clustering by incorporating fairness constraints into algorithmic design. Notions such as...
arXiv:2511.10601v2 Announce Type: replace-cross Abstract: We carry out a complete analysis of the toric elliptic and genus-one fibrations of all 474 million reflexive polytopes in...
arXiv:2512.05637v2 Announce Type: replace-cross Abstract: Boundary-catalytic branching processes describe a broad class of natural phenomena where the population of diffusing particles grows due to their...
arXiv:2512.08225v2 Announce Type: replace-cross Abstract: We suggest that the chiral $(\mathfrak{e}_8)_1$ theory -- in many senses the simplest VOA -- may have Haagerup symmetry $\mathcal{H}_i$...
arXiv:2601.14517v2 Announce Type: replace-cross Abstract: Partial differential equations (PDEs) are central to scientific modeling. Modern workflows increasingly rely on learning-based components to support model reuse,...
arXiv:2602.04550v2 Announce Type: replace-cross Abstract: Standard approaches to quantum statistical inference rely on measurements that induce a collapse of the wave function, effectively consuming the...
arXiv:2602.10798v2 Announce Type: replace-cross Abstract: We develop a mixed control framework that combines absolutely continuous controls with impulse interventions subject to stochastic execution delays. The...
arXiv:2602.10961v3 Announce Type: replace-cross Abstract: Standard geometric control relies on force-moment decoupling, an assumption that breaks down in many aerial platforms due to spurious forces...
arXiv:2602.12085v3 Announce Type: replace-cross Abstract: Renormalization group flows are constrained by symmetries. Traditionally, we have made the most of 't Hooft anomalies associated to the...
arXiv:2602.12780v2 Announce Type: replace-cross Abstract: We revisit the algorithmic problem of reconstructing a graph from homomorphism counts that has first been studied in (B\"oker et...
arXiv:2602.16731v1 Announce Type: new Abstract: This paper presents a longitudinal open dataset of Spanish public procurement extracted from the Official State Gazette (BOE) covering the...
arXiv:2602.16733v1 Announce Type: new Abstract: Reproducibility is central to research credibility, yet large-scale reanalysis of empricial data remains costly because replication packages vary widely in...
arXiv:2602.16973v1 Announce Type: new Abstract: We test whether lying aversion can steer equilibrium selection in mechanism design. In a principal-worker environment, the direct mechanism admits...
arXiv:2602.17086v1 Announce Type: new Abstract: Dynamic decision-making under model uncertainty is central to many economic environments, yet existing bandit and reinforcement learning algorithms rely on...
arXiv:2602.17052v1 Announce Type: cross Abstract: Generative modeling builds on and substantially advances the classical idea of simulating synthetic data from observed samples. This paper shows...
arXiv:2602.17543v1 Announce Type: cross Abstract: Efficient estimation of causal and structural parameters can be automated using the Riesz representation theorem and debiased machine learning (DML)....
arXiv:2305.17948v5 Announce Type: replace Abstract: We analyze the re-equilibration dynamics of matching markets with contracts following disruptions such as firm entry or worker exit. In...
arXiv:2307.15313v2 Announce Type: replace Abstract: We develop new changes-in-changes (CIC) and distributional synthetic controls (DSC) types of methods when there exists group-level heterogeneity. For CIC,...
arXiv:2501.15761v3 Announce Type: replace Abstract: We propose a new factor analysis framework and estimators of the factors and loadings that are robust to certain weak...
arXiv:2505.00282v3 Announce Type: replace Abstract: To analyze unstructured data (text, images, audio, video), economists typically first extract low-dimensional structured features with a neural network. Neural...
arXiv:2506.20749v2 Announce Type: replace Abstract: This paper studies analytic inference along two dimensions of clustering. In such setups, the commonly used approach has two drawbacks....
arXiv:2602.16071v2 Announce Type: replace Abstract: We demonstrate that a ubiquitous feature of network games, bilateral strategic interactions, is equivalent to having player utilities that are...