Euclidean-Positive Kernels Can Fail on Even-Dimensional Spheres
Preprint authors build a smooth counterexample at every allowed radius and report that direct transfer holds exactly in odd dimensions.
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2,230 results
1121–1140
Robot navigation system reports higher success in indoor trials
Preprint: EgoNav records higher success and path-efficiency scores than a matched baseline in simulation and physical office tests.
Computer model finds three-atom copper clusters bind gases on hBN/SiC
This preprint reports calculations in which three-atom copper clusters had the strongest adsorption energies among Cu1 to Cu5, with O2 bond changes consistent with molecular activation.
LDAC-Net scores higher in drifting gas-sensor tests
Preprint: LDAC-Net was tested on raw sensor windows across SmellNet and eNose-Drift benchmarks; uncontrolled deployment was not evaluated.
Preprint: Symbolic robot planner leads VLMs in kitchen simulations
A simulated benchmark reported higher task success and much shorter planning times for a planner that encoded object-to-object constraints, but no physical robot was tested.
AI Distillation Study Reports Uneven Gains From Reweighting Surprising Tokens
This preprint reports that low-probability tokens carried much of the update budget, while its benchmark gains varied by model size and task.
Quantum amplifier reports 0.06 photons of added noise
Preprint: A cryogenic SQUID-based amplifier reached 94 ± 12 millikelvin of system noise in phase-sensitive mode, below the reported 288-millikelvin standard quantum limit.
Preprint Reports Eight Modular Cases From Platonic Symmetry
The version-1 arXiv paper follows the tetrahedron, octahedron and icosahedron into elliptic surfaces, period sequences and arithmetic tests, with important exceptions.
Quantum Model Finds Clusters Can Retain Coherence
Preprint: A one-dimensional simulation finds clustered states with quantum coherence, while evidence for phase separation remains limited by the extended model’s size.
Preprint links Yang-Mills hierarchy to continuous and lattice systems
A version 1 arXiv preprint dated 26 Aug 2026 presents a Sato-theoretic construction for studying the Ward conjecture through continuous and discrete reductions.
AI model synthesizes contrast-enhanced breast MRI from pre-contrast scans
Preprint: The authors selected a parameter-efficient setup after comparing tumor-focused and global image metrics in 10 axial development instances.
A math framework links symmetric functions to three matrix models
Preprint: A proposed algebra connects stable series, shifted Jack functions and Gaussian checks, but its higher-degree formulas remain conjectural.
AI roof model beats one rival, but does not yet make 3D roofs
Preprint: RoofDiT uses a two-stage diffusion-transformer pipeline to generate planar roof graphs, with results varying by its input.
AI method reports gains in multi-label image recognition
Preprint: PuRF reported higher mAP than comparison methods across five multi-label image benchmarks.
Preprint Finds AI Memory System Scores Higher Than Long Context
A synthetic, counterfactually constructed benchmark favored TSIM in retrieval and accuracy tests, but the results do not establish performance on natural conversations.
GaussianDream++ reports higher robot success than reproduced π0.5
Preprint: The policy posted stronger benchmark and pooled physical results, but each action chunk took 44 milliseconds longer than reproduced π0.5.
AI confidence rankings flipped when unmatched beliefs were counted as false
Preprint: A controlled evaluation found that finite reference lists could reverse which confidence rule looked better for open-ended model beliefs.
V2X Model Links Jitter and Traffic Variability to Lower Reliability
Preprint: A model of connected-vehicle services links jitter and traffic variability with lower deadline reliability and higher tail latency, especially in the cloud.
Quantum oscillations show a phase shift in YbMnBi2
Preprint: A same-crystal comparison finds a near-quarter-cycle offset between magnetization and a strain-sensor signal, but no unique Berry phase.
Hidden-State Probing Tops AI Test of Research Novelty
Preprint: A hidden-state method reads an AI model’s reasoning signals and leads tested approaches in judging research-idea novelty.