Preprint reports faster flow-optimization method with nearly unchanged results
An adaptive time-window approach matched full-time adjoint calculations while reporting lower runtime and storage in computational tests.
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2,451 results
2381–2400
Preprint finds Product-Gap loses strategyproofness beyond three facilities
A formal analysis gives the randomized rule a tight 2k worst-case cost bound, while an optimized two-facility mixture reaches a reported ratio of about 3.519.
Preprint Finds Traffic Calibration Methods Struggle in Larger, More Complex Tests
Five automated approaches traded places across error measures on a small network, while all were judged insufficient at reproducing stop-and-go waves.
Preprint reports stronger motion and consistency in long AI-video rollouts
A dynamic 4D reward was linked to better reconstruction and preference scores across three streaming models, but the evidence rests largely on learned judges and a small human test.
Preprint reports ultrafast scans that track tissue mechanics
The laboratory system followed wave-speed changes in a rat artery and produced three-dimensional scans of a rabbit eye and one human finger, while the evidence remains limited to technical demonstrations.
Preprint reports faster, more compact free-viewpoint video reconstruction on edge hardware
S²GS reported lower optimization time, storage, power and energy in benchmark tests, while quality varied by dataset and the fixed hierarchy struggled with some motion.
Preprint: A phase rule may determine what an optical computer can compute
A mathematical model and hardware-faithful digital twin link pump-phase encoding to charge-limited computation and polynomial measurement cost; no physical device was built.
Preprint: AI memory system tops benchmark tables while discounting repeated evidence
The CAMA method had the best displayed results across three long-term memory benchmarks, but the paper reports no confidence intervals or significance tests.
Preprint reports faster sparse-grid particle–mesh calculations
Hierarchical versions of two methods delivered large reported speedups while matching standard results to roundoff in a two-dimensional benchmark.
Preprint reports gains in predicting 3D wireless fields in unseen scenes
RFWM reported stronger benchmark results without target-scene RF measurements, but validation on real measured fields was not reported.
Preprint: Robot planner reports 86.93% simulated success without object-specific grasp databases
GOAG uses gripper configurations and contact points, with tests spanning three grippers, five benchmarks and a real-robot demonstration on 11 YCB objects.
Preprint reports faster long-context AI serving with little benchmark loss
FlashPrefill V2 reported up to 47.26× operator-level speedup at 128K on NVIDIA H20 GPUs while keeping scores close to full attention on RULER and LongBench.
Preprint reports a symmetry-based model for mapping stroke lesions across scans
The system outperformed tested baselines on one CT dataset and produced competitive results on MRI and CT-perfusion data, but the evaluation did not measure treatment decisions or patient outcomes.
Preprint releases open simulated data for power-grid protection research
EvEMTBench pairs synchronized voltage and current waveforms with labels for faults and operating events, but it does not yet show how machine-learning systems will perform on real grids.
Preprint: Topological acoustic chip senses salt and glucose in tiny liquid samples
In laboratory tests, the device’s resonance shifted with solution concentration and used 0.04 μL for one measurement, but it was not tested on biological samples or compared with conventional sensors.
Federated MRI Method Scores Higher on Tumor-Mapping Tests
Preprint: MOSAIC reported higher overlap scores than weakly supervised baselines when institutions had different MRI modalities missing.
Preprint classifies finite-group modules with few non-trivial Jordan blocks
The formal study identifies allowed irreducible building blocks and exact block patterns for a narrowly defined set of finite groups.
Preprint reports higher success for VLM-guided robot training in simulation
EXIMO combines exploration, imitation and residual reinforcement learning, with reported gains across a 22-task manipulation benchmark.
Preprint tests a calibration method for reliability decisions under uncertain models
The approach had no larger defined risk than a fixed threshold in theory and showed lower set-estimation error in simulations, but its vehicle example was simulator-based.
Preprint reports higher benchmark scores for an adaptive vision operator
Core-KAN reported gains against ResNet-50 and selected competing methods on ImageNet-1K, COCO and ADE20K, with caveats around training comparisons and response-bank cost.