Quantum-switch model finds a precision edge over Gaussian probes
Preprint: A single-mode model found that odd-parity protocols could outperform fixed-order Gaussian probes in selected settings.
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2,230 results
1321–1340
Model reveals intricate topological phases in six-atom lattice
Preprint: Numerical and analytic calculations map Chern-number changes as two hopping phases vary in a generalized two-dimensional model.
AI Models Agree on Some Shape Impressions, but Not All
Preprint audit finds vision-language models align more on geometric and affective shape rankings than on unrelated descriptions.
Preprint tests a hybrid way to flag risky mini-program screens
A prototype pairs visual checks with network analysis, but the paper reports no quantitative validation of its URL-risk classifier.
Quantum model separates process randomness from memory effects
Preprint proposes a way to distinguish irreducible quantum randomness from randomness that temporal memory can explain.
Tests find AI document paths can expose hidden Office content
Preprint: Tests across Word, Excel and PowerPoint found different evidence reaching models through different document-ingestion paths.
New flow model has lower long-horizon errors across four benchmarks
Preprint: CoKo-UNO records the lowest rollout error in four flow tests, but its accuracy drops sharply when moved from a 32×32 grid to finer resolutions.
AI summarization method is far faster at choosing training examples
Preprint reports much faster example selection than two baselines, while quality results vary by dataset and model.
Satellite model sorts maize stress into four readable stages
Preprint: A study reports promising results in Iowa and Nebraska, but field decisions and yield benefits still need testing.
Calculations point to cooperative neutron pairs in helium-8
This preprint reports energy and wave-function signals consistent with a two-pair quartet in modeled helium-8, while limiting the conclusion to the Daejeon16 interaction and basis used.
Math Preprint Finds Worst-Case Sampling Can Scale Quadratically
A new arXiv preprint bounds how many weighted point evaluations are needed to control distortion in m-dimensional function spaces.
Nearest-neighbour method stands out in high-dimensional clustering tests
Preprint: The approach beat maximum likelihood at larger tested dimensions, but outlier results varied by scenario.
Preprint: Cœuré–Loeb fibration found inside a Stein space
A proof-based construction places the non-Stein example inside a larger Stein space, while leaving the broader open-immersion problem unresolved.
RNN controller shows lower data movement in GPU tissue model
Preprint: A history-aware controller kept workloads more even in a changing multicellular simulation, but did not have the lowest imbalance at every rank count.
Project Builds Digital Archive of Japan’s Sangaku Tablets
A preprint describes a bilingual archive for roughly 900 surviving tablets and records of lost ones, with a map carrying more than 1,000 pins.
AI model transfers across odor tasks but falters on mirror images
Preprint: The system posted stronger scores across several olfactory benchmarks, but a small enantiomer test suggests that noticing molecular differences is not the same as predicting their perceptual effects.
Graphene detector operates at room temperature on silicon waveguide
Preprint: A two-device laboratory study reports D-band detection at 139 GHz, while measured port-referenced responsivity differed sharply from the model estimate.
Forecasting method tracks changing uncertainty in Lorenz tests
Preprint: SCROLL-MT was tested on two synthetic systems and one Beijing PM2.5 series, with gains in some uncertainty and likelihood measures but trade-offs between covariance choices.
Theoretical quantum protocol ties entanglement cost to time
Preprint: An adaptive repeat-until-success method links shared entanglement to interaction strength instead of charging a fixed amount for every nonlocal operation.
A single framework links two ways of explaining time-series models
Preprint: TimeX++ uses one end-to-end Information Bottleneck objective across attribution and counterfactual modes, with reported gains on benchmark tests.