Exact schedulers solve all 35 tests and expose benchmark errors
A preprint reports that SAT and constraint programming proved optimality on all 35 cases, while a review found nine earlier schedules that violated the power constraint.
Search
2,451 results
1141–1160
Model predicts optical signatures of a Hopf-link transition
A theoretical arXiv preprint also models a nonlinear Hall response with a specified symmetry-breaking term, but the results have not been tested in a material.
Model finds narrow bands for eccentric orbits around a spinning black hole
Preprint: A model finds two equilibrium branches in a narrow inclination range, but cannot reproduce the high eccentricity discussed for the S-cluster.
Theorem narrows how nonzero-degree self-maps act on generalized Grassmannians
A version 1 arXiv preprint classifies the cohomology action of nonzero-degree self-maps, allowing a Dynkin symmetry only when the relevant stabilizer is nontrivial.
Sparse Model Merging Shows Modest Gains in AI Benchmark Tests
Preprint: A selective sparse-feature method reports higher average scores in two Qwen2.5 settings, but adds training costs and does not improve every benchmark.
AI models can find the right data and still put it in the wrong place
Preprint: Tests of nested JSON and HTML tables found a recurring gap between retaining required values and placing them at the correct structural address.
New result identifies the Langlands image of a constant sheaf
Preprint: A formal mathematical result identifies the spectral object assigned to the constant sheaf and extends the description to arbitrary finite-rank local systems.
Preprint reports lower surface-normal errors from flash pairs
An arXiv preprint reports lower surface-normal errors on synthetic and real-object tests, but also describes failures on transparent objects and flat objects with complex textures.
Preprint Proposes Clearer AI Threat Profiles Before Release
The proposed framework asks evaluators to define an adversary's skills, resources and time before testing frontier models, with open-weight releases in focus.
3D wave scheme tracks test pulses to infinity on flat spacetime
Preprint: A fully 3D numerical study reports stable evolution, close energy agreement and near-second-order convergence, with a trade-off at the outer boundary.
Preprint: Quadruped robot explores five floors in stairwell test
The paper describes RAEM's multi-floor simulation trials and a real-world stairwell run from the first floor to the fifth.
One proposed Vision MoE backdoor stayed quiet in four tests
Preprint: In V-MoE and Swin-MoE classifiers tested on ImageNet-100 and GTSRB, dormant attack success was below 9% at batch sizes up to 32, while activation success at batch size 128 ranged from 76.0% to 87.0%.
Underwater detector reports modest gains in camera and sonar tests
Preprint results report higher RGB and sonar detection scores, plus an F1 score of 83.4 for linking objects across the two views.
Preprint finds sharp split in truncated Novikov cohomology
The calculation gives zero, three or four dimensions depending on the parameter and characteristic, and classifies the associated abelian extensions.
Preprint Reports Core Connectivity and Shortest Paths in SDN Test
A virtual model of Unsoed's three-router core reports interconnected switches, attached hosts and shortest-path forwarding, while physical and link-failure tests remain ahead.
J-PARC Beamline Reports 98% Pure High-Momentum Muons
Preprint: A 12-setting J-PARC test measured beam intensity, spread and purity across three upstream momenta and four downstream scaling factors.
GPU Solver Finds Lower-Cost UAV Routes in Farm Simulations
Preprint reports lower flight-time costs and sub-second runtimes in simulated agricultural grids, but no field or flight tests.
Adaptive AI bias checks show smaller accuracy losses in tests
Preprint: Adaptive timing retained more answer accuracy in some tests, but a white-box signal often changed answers that were already correct.
APT accelerator reports faster 4K AI image generation
Preprint: APT pairs attention-guided pruning with mixed precision and reports major gains at high resolution, while its hardware evaluation uses simulation and modeled energy.
MOTIF recommender reports gains, especially on cold-start items
Preprint results from three sparse datasets report modest overall gains and larger gains for items whose training interactions were masked.