Analysis Favors Bare Rock on GJ 1132 b, but a Thin Atmosphere Is Possible
Preprint analysis of 14 transits finds no convincing evidence for a substantial atmosphere, while leaving open the possibility of a thin atmosphere.
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AI model posts top scores in coronary artery segmentation tests
This arXiv preprint reports leading results on MOSXAV and external XACV, while competitors top recall or precision in some comparisons.
AI system ranks multi-hop answers across split knowledge graphs
Preprint: The study reports rankings near a centralized upper bound in synthetic benchmark splits, with no formal differential-privacy claim.
BrowserForge training data linked to higher web-agent scores
Preprint: BrowserForge generated 203,238 raw web trajectories, and models fine-tuned on its filtered data scored higher on web-agent benchmarks.
Exact Norm Maximization and ICNN Lipschitz Problems Stay Hard
Preprint: Exact Lp norm maximization and a two-layer ICNN Lipschitz problem are W[1]-hard when dimension is the parameter.
Economic model rankings differ under a data-compression test
A version-1 arXiv preprint dated 25 August 2026 compares Minimum Description Length with AIC, BIC and cross-validation in simulations and three economic reanalyses.
Smart-Home Simulator Passes Did Not Match Every Physical Check
Preprint: An audit found that simulated success varied with the property and timing boundary checked in physical deployment.
Forecast-explanation method scores well, but results vary by dataset
An arXiv preprint reports strong flow-only faithfulness scores across four benchmarks, while the full pipeline loses ground on three.
Capra recovers major IBEX sky patterns in a new preprint
An arXiv preprint tests the HEALPix-native pipeline on IBEX-Hi data, reporting broad feature recovery, close numerical preservation and a 12.23 speedup with 16 kernels.
ROMNet tops neural baselines in wave-speed reconstruction tests
Preprint: In held-out wave-speed reconstruction tests, ROMNet beat two learning-based comparators, but direct ROM and an oracle had lower errors.
Mathematicians classify when finite semigroups have complete mappings
Preprint: The study reduces the question to principal factors and gives exact tests across several finite algebraic systems.
PBMC tests report higher ARI and NMI in weak-transport runs
An arXiv Preprint reports higher ARI and NMI than an IGW comparison in a one-donor PBMC benchmark, while macro-F1 was not uniformly higher.
Carbon-wire simulations show model choices change electron transport
An arXiv preprint reports that CASSCF orbital optimization gave the strongest qualitative transport match in modeled carbon-wire junctions.
New sensor-calibration method handles tilted ground better
A 2026 arXiv preprint reports stronger repeatability in several datasets, though results varied with terrain and initialization.
Study reports conditional entropy stability in selected moving-wall tests
This preprint reports entropy-conserving or entropy-stable behavior in mathematical analyses and selected computations under stated moving-wall assumptions.
AI method assigns new knowledge-graph entities without retraining
Preprint: The study reports that SNAP-KG assigns arriving entities to clusters from raw features, narrowing candidate searches but exposing a trade-off for link prediction.
Camera-image planner shows lower error and latency than BEV in scooter test
Preprint: An offline campus-video evaluation found a direct image-space planner with lower path-centering error and far lower CPU latency than the best BEV method, but it did not test closed-loop scooter use.
Preprint finds conditional barrier to quantum security proofs
An arXiv preprint says restricted reductions cannot establish security for QMA witness encryption or classical-output null-qIO if a stated gap problem exists.
Approximate Bayesian updates can preserve fast prediction rates
Preprint: A theoretical study says approximate updates can retain fast regret when they track the exact posterior’s contraction.
Fairness-Aware CLIP Tuning Reports Better Subgroup Scores
Preprint: A label-free test-time method reports better subgroup metrics in benchmarks but incurs extra processing time and remains untested in real-world deployment.