A soft-spectrum PULX candidate is reported in Cen A but XMM-SAS randomisation during data reduction renders the marginal 1.27 Hz pulsation detection unreliable across repeated reductions.
hub Mixed citations
Waskom , title =
Mixed citation behavior. Most common role is unclear (38%).
31
Pith papers citing it
6,559
external citations · Crossref
unclear
38% of classified citations
hub tools
citation-role summary
method 3
other 3
background 2
citation-polarity summary
representative citing papers
The maximum reward gain under KL-regularized LM alignment is a Jeffreys divergence term, estimable as covariance from base samples, with best-of-N approaching the theoretical limit.
Objaverse-XL supplies over 10 million diverse 3D objects that, when used to render 100 million views, improve zero-shot novel-view synthesis in models such as Zero123.
LPT-matched integrators for cosmological simulations outperform FastPM with O(1-100) timesteps while convergence is limited to order 3/2 post-shell-crossing due to acceleration field irregularity.
Prompt tuning matches full model tuning performance on large language models while tuning only a small fraction of parameters and improves robustness to domain shifts.
A parametrized analytical model for BBH mass ratios from the stable mass transfer channel is derived and applied to the 10 solar-mass peak in GWTC-4, favoring little mass-ratio reversal.
Blue-asymmetric spectral lines appear in 50-60% of dense cores within massive dark clumps, showing that gravitational collapse operates at core scales from prestellar stages onward and supports hierarchical star formation.
An amortized reinforcement learning method enables immediate, observation-driven sequential optimization of genetic circuits while accounting for both intrinsic stochasticity and cross-laboratory variability without repeated inference steps.
Lagrangian tracers show mixing with low-entropy seeds drives most condensation in cluster cores; magnetic fields cause earlier divergence, higher vorticity, lower Mach numbers, and slower cold-cloud motion via tension.
Machine learning clustering of meteor observations produces a new hardness classification H_class that refines traditional Kb models using more parameters and reveals compositional structure in meteoroid populations.
A criterion of |Δg| > 0.4 mag and |Δ(g-r)| > 0.2 mag detects photometric CL-AGN transitions in 9.6% of known hosts with 1.6% false positive rate from simulations.
ClusterChirp is a freely available web tool for scalable interactive visualization, hierarchical clustering, and natural-language-guided analysis of high-dimensional omics datasets.
Presents the bixplot as an extension of the boxplot incorporating contiguous clustering to visualize bimodality and multimodality while displaying individual data points, with Python and R implementations.
Hybrid Branch-and-Price and Large Neighborhood Search with column reuse achieves new state-of-the-art results on bus driver scheduling instances of varying sizes.
Bright globular clusters in Abell 2744 trace the three main mass clumps and match weak-lensing mass maps more closely than other galactic components, using a Poisson point process model.
MaNGA data shows dwarf galaxies (log M* <= 9.5) remain mostly star-forming with weak environmental dependence while intermediate-mass galaxies (9.5 < log M* < 10) display stronger quenching trends, and dwarf early-types host younger stellar populations than their intermediate-mass counterparts.
MEEDAV is a browser-based tool for real-time synchronized visualization of EEG, eye-tracking, and speech data with interactive plots and optional ICA denoising.
A conditional variational autoencoder is trained on public kilonova light curves to enable rapid parameter inference for binary neutron star merger models in under three hours total.
Leading boundary of a coronal hole has higher plasma temperature, stronger unipolar field, and lower spatial irregularity than trailing boundary due to organized loops versus dispersed bipoles.
Pre-CAT is a new downloadable and web-hosted GUI tool that standardizes preclinical CEST-MRI data analysis for Z-spectroscopy, CEST-MRF, and quantitative CEST experiments.
Turbulent torques modeled as a Gaussian around the linear torque can push gas-induced dephasing in LISA EMRIs above the detection threshold for Eddington ratios above 0.3 and sufficient turbulence strength.
MAUVE-MUSE finds Virgo cluster disks have elevated [N II]/Hα, [S II]/Hα and [O III]/Hβ ratios plus broader kinematics because star formation is suppressed, leaving diffuse ionized gas dominant instead of widespread direct environmental excitation.
GPT-4o achieves macro F1 scores of 0.89 for politician face recognition and 0.86 for person counting in election Instagram stories, outperforming FaceNet512, RetinaFace, and Google Cloud Vision.
A Bayesian combination of eight M-R posteriors for PSR J0030+0451 yields M = 1.46^{+0.09}_{-0.08} M_⊙, R = 12.69^{+0.64}_{-0.55} km while marginalizing over unknown model systematics.
citing papers explorer
-
Significant or Not? The Impact of Randomisation During Data Reduction on Confirming a New Pulsating Ultraluminous X-ray Source Candidate in Centaurus A
A soft-spectrum PULX candidate is reported in Cen A but XMM-SAS randomisation during data reduction renders the marginal 1.27 Hz pulsation detection unreliable across repeated reductions.
-
Theoretical Limits of Language Model Alignment
The maximum reward gain under KL-regularized LM alignment is a Jeffreys divergence term, estimable as covariance from base samples, with best-of-N approaching the theoretical limit.
-
Objaverse-XL: A Universe of 10M+ 3D Objects
Objaverse-XL supplies over 10 million diverse 3D objects that, when used to render 100 million views, improve zero-shot novel-view synthesis in models such as Zero123.
-
Perturbation-theory informed integrators for cosmological simulations
LPT-matched integrators for cosmological simulations outperform FastPM with O(1-100) timesteps while convergence is limited to order 3/2 post-shell-crossing due to acceleration field irregularity.
-
The Power of Scale for Parameter-Efficient Prompt Tuning
Prompt tuning matches full model tuning performance on large language models while tuning only a small fraction of parameters and improves robustness to domain shifts.
-
A Strongly Parametrized Mass Ratio Model for the Stable Mass Transfer Channel: a Case Study of the $10 \, \rm{M}_{\odot}$ Peak
A parametrized analytical model for BBH mass ratios from the stable mass transfer channel is derived and applied to the 10 solar-mass peak in GWTC-4, favoring little mass-ratio reversal.
-
Global and Local Infall in the ASHES Sample (GLASHES). II. Asymmetric Line Profiles around Dense Cores in 70 $\mu$m Dark Massive Clumps
Blue-asymmetric spectral lines appear in 50-60% of dense cores within massive dark clumps, showing that gravitational collapse operates at core scales from prestellar stages onward and supports hierarchical star formation.
-
Sequential Design of Genetic Circuits Under Uncertainty With Reinforcement Learning
An amortized reinforcement learning method enables immediate, observation-driven sequential optimization of genetic circuits while accounting for both intrinsic stochasticity and cross-laboratory variability without repeated inference steps.
-
XMAGNET -- Stir before serving: a Lagrangian perspective on mixing-driven condensation in the intracluster medium
Lagrangian tracers show mixing with low-entropy seeds drives most condensation in cluster cores; magnetic fields cause earlier divergence, higher vorticity, lower Mach numbers, and slower cold-cloud motion via tension.
-
A Machine Learning Approach to Meteor Classification
Machine learning clustering of meteor observations produces a new hardness classification H_class that refines traditional Kb models using more parameters and reveals compositional structure in meteoroid populations.
-
Identifying Changing-Look AGN Transitions in Light Curve Data with the Zwicky Transient Facility
A criterion of |Δg| > 0.4 mag and |Δ(g-r)| > 0.2 mag detects photometric CL-AGN transitions in 9.6% of known hosts with 1.6% false positive rate from simulations.
-
ClusterChirp: Scalable Interactive Exploration of Omics Data with Natural Language-Guided Analysis
ClusterChirp is a freely available web tool for scalable interactive visualization, hierarchical clustering, and natural-language-guided analysis of high-dimensional omics datasets.
-
The bixplot: A variation on the boxplot suited for bimodal data
Presents the bixplot as an extension of the boxplot incorporating contiguous clustering to visualize bimodality and multimodality while displaying individual data points, with Python and R implementations.
-
Integrating Column Generation and Large Neighborhood Search for Bus Driver Scheduling with Complex Break Constraints
Hybrid Branch-and-Price and Large Neighborhood Search with column reuse achieves new state-of-the-art results on bus driver scheduling instances of varying sizes.
-
On the correlation between globular clusters and the distribution of dark matter in galaxy clusters: the case of Abell 2744
Bright globular clusters in Abell 2744 trace the three main mass clumps and match weak-lensing mass maps more closely than other galactic components, using a Poisson point process model.
-
Dwarf and Intermediate-Mass Galaxies in MaNGA: Evidence for Different Evolutionary Trends
MaNGA data shows dwarf galaxies (log M* <= 9.5) remain mostly star-forming with weak environmental dependence while intermediate-mass galaxies (9.5 < log M* < 10) display stronger quenching trends, and dwarf early-types host younger stellar populations than their intermediate-mass counterparts.
-
MEEDAV: A Synchronous Web Viewer for EEG, Eye-Tracking and Speech Data
MEEDAV is a browser-based tool for real-time synchronized visualization of EEG, eye-tracking, and speech data with interactive plots and optional ICA denoising.
-
Precise and Rapid Parameter Inference of Kilonova with Conditional Variational Autoencoder
A conditional variational autoencoder is trained on public kilonova light curves to enable rapid parameter inference for binary neutron star merger models in under three hours total.
-
Investigating the Relationship Between Physical Properties and Spatial Irregularities at Coronal Hole Boundaries
Leading boundary of a coronal hole has higher plasma temperature, stronger unipolar field, and lower spatial irregularity than trailing boundary due to organized loops versus dispersed bipoles.
-
Pre-CAT: A web-based, graphical user-interface toolbox for preclinical CEST-MRI data processing and analysis
Pre-CAT is a new downloadable and web-hosted GUI tool that standardizes preclinical CEST-MRI data analysis for Z-spectroscopy, CEST-MRF, and quantitative CEST experiments.
-
Chaotic migration of LISA Extreme Mass Ratio Inspirals in a turbulent accretion disk: effect on waveform de-phasing
Turbulent torques modeled as a Gaussian around the linear torque can push gas-induced dephasing in LISA EMRIs above the detection threshold for Eddington ratios above 0.3 and sufficient turbulence strength.
-
MAUVE-MUSE: Ionization and Kinematic Signatures of Environmental Effects on Virgo Cluster Disks
MAUVE-MUSE finds Virgo cluster disks have elevated [N II]/Hα, [S II]/Hα and [O III]/Hβ ratios plus broader kinematics because star formation is suppressed, leaving diffuse ionized gas dominant instead of widespread direct environmental excitation.
-
Seeing Candidates at Scale: Multimodal LLMs for Visual Political Communication on Instagram
GPT-4o achieves macro F1 scores of 0.89 for politician face recognition and 0.86 for person counting in election Instagram stories, outperforming FaceNet512, RetinaFace, and Google Cloud Vision.
-
Combining the Mass--Radius Posteriors of J0030+0451 Allowing for Unknown Model Systematics
A Bayesian combination of eight M-R posteriors for PSR J0030+0451 yields M = 1.46^{+0.09}_{-0.08} M_⊙, R = 12.69^{+0.64}_{-0.55} km while marginalizing over unknown model systematics.
-
Optimal Option Portfolios for Skew-Elliptical t Returns
Explicit portfolio weights are derived for variance minimization and VaR approximation under skew-elliptical t returns, with numerical optimization for improved VaR results and comparison to symmetric t weights.
-
Scalable Construction of Spiking Neural Networks using up to thousands of GPUs
A novel MPI-based construction method for spiking neural networks on multi-GPU clusters is introduced, with scaling demonstrated on two cortical models using point-to-point and collective communication.
-
Score-based generative emulation of impact-relevant Earth system model outputs
A score-based generative emulator on a spherical mesh produces joint distributions of impact-relevant climate variables that closely match three parent ESMs in pre-industrial and forced regimes, with errors small relative to internal variability.
-
COLIBRE: calibrating subgrid feedback in cosmological simulations that include a cold gas phase
COLIBRE calibrates supernova and AGN feedback parameters in multi-phase ISM cosmological simulations using emulator-based fitting to reproduce the z=0 galaxy stellar mass function and size-stellar mass relation at three resolutions.
-
A Systematic Search for Active Galactic Nucleus Flares in ZTF Data Release 23
Systematic search of ZTF DR23 data yields catalogs of 28,504 coarse and 1,984 refined AGN flares with public release.
-
Searches for Binary Mergers with Sub-solar Mass Components in Data from the First Part of LIGO--Virgo--KAGRA's Fourth Observing Run
No sub-solar mass binary merger candidates found in LIGO data from May 2023 to January 2024, yielding merger rate upper limits of 110-10000 Gpc^{-3}yr^{-1} and constraints on primordial black hole dark matter fractions.
-
Distributed Energy System Design including Unbalanced AC Power Flow for Large LV Networks with ADMM
A hybrid MILP-NLP-complementarity decomposition solved via spatial/temporal ADMM yields up to 13x speedup on unbalanced AC power flow-constrained DES design for networks with 55 loads, with maximum 0.61% optimality gap.