Research works
The research papers we track — the newest first. Works with a plain-language summary link to it.
126741 work(s)
- AI & ComputingOpen access
Saddlepoint approximations for plug-in resampling
Abstract Resampling-based procedures can improve on normal approximations in sparse, large-scale testing problems, but their computational cost can be prohibitive. We recognize that several existing procedures belong to a faster plug-in resampling subclass, fixing fitted nuisance...
- AI & ComputingOpen access
Balanced assignments of periodic tasks
This work addresses the problem of assigning periodic tasks to workers in a balanced way, i.e., so that each worker performs every task with the same frequency over the long term. The input consists of a list of tasks to be repeated weekly at fixed times and a number of indisting...
- AI & ComputingOpen access
On characterization of Double Danielewski type algebras
Let k be a field. In this paper, we consider Double Danielewski type algebras over an affine factorial k-domain R. We observe that this family produces a non-cancellative family of algebras over R. Further, when k is a field of characteristic zero, we give a characterization for...
- AI & ComputingOpen access
Quasimaps to Quivers with Potentials
This paper is concerned with a non-compact GIT quotient of a vector space, in the presence of an abelian group action and an equivariant regular function (potential) on the quotient. We define virtual counts of quasimaps from prestable curves to the critical locus of the potentia...
- AI & ComputingOpen access
Well-Posedness for Rough Solutions of the 3D Compressible Euler Equations
This paper considers solutions of the compressible 3D Euler equation for low-regularity initial data. An important inspiration for this work is the paper by Qian Wang [Ann. of Math. (2) 195 (2022), no. 2, 509–654, DOI 10.4007/annals.2022.195.2.3. MR 4387234 ], where she proved, u...
- AI & ComputingOpen access
Preprint of the methods paper. Companion findings paper: "What Determines the Direction of Post-Training Gains? A Preregistered Multi-Scale Study of Method, Scale, and Base-Model Identity" (Zenodo, DOI: 10.5281/zenodo.23409394). LLM-as-a-judge scoring is increasingly the default...
- Physics & SpaceOpen access
Paper C of a series on the Informational Vector World Model (IVW). Version 1.3, 16 October 2026. In the IVW, cold matter is not a separate particle species but the conserved charge of a shift-symmetric field of the network (network dust; in the literature: cold dark matter). The...
- Physics & SpaceOpen access
Double Vision – Both Cycles in One Space
The Spheres of Dharma nest six icosahedral solids, with the Hecatodihedron as an in-between stage; their polar reciprocal is a second exact cycle in which every nesting is reversed (Inverted Shells). We put both cycles in one space. The sphere of reciprocation is then the one fre...
- Engineering & TechnologyOpen access
The preferential alignment of vorticity with the intermediate eigenvector of the strain-rate tensor is a robust small-scale feature of turbulence, usually described through stationary alignment distributions. We ask an instantaneous question: in which direction, and how strongly,...
- Physics & SpaceOpen access
A covariant action for the weak second layer: construction, local stability and confrontation with data. Version 1.3, 14 October 2026 (Zenodo edition 16 October 2026). Galaxies rotate faster in their outer parts than their visible mass allows, and the excess follows a tight rule...
- Physics & SpaceOpen access
Does the additional attraction of a dwarf galaxy depend on its history? A pre-registered test of the quenching-time relation on 51 dwarf galaxies. Version 1.5, 16 October 2026. The Informational Vector World Model (IVW) predicts that dwarf galaxies which stopped forming stars ear...
- Materials & EnergyOpen access
The basins of attraction of soft-sphere packings are not fractal
The energy landscape picture is a central tool to study many-body systems. In particular, the energy landscapes of glass-forming liquids, jammed packings, constraint satisfaction problems, or neural networks contain a plethora of minima corresponding to competing states. Due to t...
- AI & ComputingOpen access
Fast construction of partitioned learned Bloom filter with theoretical guarantees
Abstract Bloom filter is a widely used classic data structure for approximate membership queries. Learned Bloom filters improve memory efficiency by leveraging machine learning, with the partitioned learned Bloom filter (PLBF) being among the most memory-efficient variants. Howev...
- AI & ComputingOpen access
Adjusted Connections I: Differential Cocycles for Principal Groupoid Bundles with Connection
Abstract We develop a new perspective on principal bundles with connection as morphisms from the tangent bundle of the underlying manifold to a classifying dg-Lie groupoid. This groupoid can be identified with a lift of the inner homomorphisms groupoid arising in Ševera’s differe...
- AI & ComputingOpen access
Reinforcement learning to disentangle multiqubit quantum states from partial observations
Using partial knowledge of a quantum state to control multiqubit entanglement is a largely unexplored paradigm in the emerging field of quantum interactive dynamics with the potential to address outstanding challenges in quantum state preparation and compression, quantum control,...
- AI & ComputingOpen access
The Challenges of Hyperparameter Tuning for Accurate Causal Effect Estimation
Abstract ML is playing an increasingly crucial role in estimating causal effects of treatments on outcomes from observational data. Many ML methods (‘causal estimators’) have been proposed for this task. All of these methods, as with any ML approach, require extensive hyperparame...
- AI & ComputingOpen access
Spectral hypergraph sparsification, an attempt to extend well-known spectral graph sparsification to hypergraphs, has been extensively studied over the past few years. For undirected hypergraphs, Kapralov, Krauthgamer, Tardos, and Yoshida (2022) have proved an $$\varepsilon $$ -s...
- AI & ComputingOpen access
A generalist model for diverse text-guided medical image synthesis
Deep learning algorithms require extensive data to achieve robust performance. However, data availability is often restricted in the medical domain due to patient privacy concerns. Synthetic data presents a possible solution to these challenges. Image generative models have found...
- Health & MedicineOpen access
Abstract Purpose To investigate global and regional risk factors for blindness and vision impairment pertaining to all geographical locations between 1990 and 2020. Methods (1) Twenty-four covariates were selected with a potential link to vision impairment from the Global Burden...
- Climate & Environment
Crayfish represent a profound threat to amphibian populations worldwide, often acting as keystone predators that disrupt breeding success and contribute to local declines. In particular, voracious predation on eggs can consume substantial proportions of clutches, exacerbating vul...