A massive quiescent galaxy at z=3.449 exhibits low rotation (λ_Re = 0.123) consistent with slow-rotator kinematics, indicating early formation of dispersion-dominated systems.
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representative citing papers
The paper surveys EV charging literature through a Planning-Scheduling-Behavior framework and diagnoses a fidelity-tractability trilemma in cross-layer integration.
Analysis of 61 IO500 submissions shows four orders of magnitude score variation, strong phase correlations, and log-level file-system behaviors that aggregate scores miss.
Derives recursive Laplace transform for response time distribution in M/G/1 preemptive priority with stochastic preemption overhead and introduces job joint transform for general overhead models.
Jensen-Shannon regularized analogues of KL-based direct-correlation measures are introduced, taking values in [0,1] and accompanied by alphabet-size-dependent upper bounds under the observed marginal p(x,z).
Receiving help on Stack Overflow boosts helping behavior primarily among newcomers and declines with platform tenure, based on matched difference-in-differences survival analysis of over 21 million questions.
RoMathExam supplies a century-long collection of Romanian math exams together with a new intrinsic complexity metric that correlates across frontier models at r > 0.72.
Fractional viscoelastic rough contact models reproduce logarithmic aging but erase prior memory and lack any decreasing contact area phase after unloading; this holds for all linear viscoelastic models, requiring additional local internal variables.
A simulation-based inference framework that jointly models type Ia supernovae brightness dependences, host galaxy evolution, and cosmology from photometric observations.
Proposes an inferential framework to test differences in categorical Gini correlations for predictor importance in classification, establishing asymptotic normality and consistency while accommodating unequal dimensions and dependence.
Stellar feedback regulates radial gas inflow in the Milky Way center, yielding time-averaged rates that fall from 5e-3 to 1e-6 solar masses per year with both smooth secular and episodic components.
Agentic reproduction of an NLP study recovers original findings and demonstrates that GPT-5.5 and Claude Opus can reduce their AI-detection probability by shrinking detector margins through 20 feedback iterations.
Information defined as maximum-caliber deviation derives IIT 3.0 cause-effect repertoires from constrained entropy maximization and equates to prediction error under CLT and LDT.
Two z~6.6 galaxies host overmassive black holes and show remnant ionized bubbles from recent quasar episodes, with BH-to-stellar mass ratios 400-800 times above the local relation.
Agentic memory is lookup-based retrieval, not weight-based consolidation, creating a generalization ceiling on novel tasks and structural vulnerability to memory poisoning.
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 web system uses a Curve Segment Neighborhood Graph to support interactive community detection, force-directed layouts, and adjacency matrix views for exploring hundreds of thousands of streamlines in real time.
A single spatial correlation index predicts cooperator fixation across arbitrary heterogeneous landscapes, with segregated environments enhancing and intermixed ones suppressing cooperation under weak selection.
A model from 69 classes finds that 10-20% group worksheets, 20-40% group clicker questions, and at least two student questions per hour produce effect sizes over 2 in learning gains, while classes without group worksheets match lecture-only performance.
Hybrid eTFCE-GRF retrieves exact cluster sizes via union-find in one pass and converts them to analytical p-values using GRF theory, delivering permutation-free TFCE inference that is faster and exact.
OSS4SG projects retain contributors at 2.2X higher rates with 19.6% higher core status probability than conventional OSS, and a late-spike temporal pattern enables faster core achievement (21 weeks) than early intensive contributions.
First comprehensive survey of 93 women in Brazilian theoretical quantum physics shows high output and international experience but limited productivity fellowships and equity initiative involvement.
A novel state-space dynamic functional regression model is proposed for multicurve fixed income spread analysis and stress testing, integrating dynamic Nelson-Siegel with kernel PCA for tractable estimation.
People reject cookie + $2 offers from robots more than cookie alone due to inferred phantom costs, accepting more from robots than humans overall with no embodiment effect for robots.
citing papers explorer
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A massive and evolved slow-rotating galaxy in the early Universe
A massive quiescent galaxy at z=3.449 exhibits low rotation (λ_Re = 0.123) consistent with slow-rotator kinematics, indicating early formation of dispersion-dominated systems.
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Planning, Scheduling, and Behavior in EV Charging Systems: A Critical Survey and Trilemma Framework
The paper surveys EV charging literature through a Planning-Scheduling-Behavior framework and diagnoses a fidelity-tractability trilemma in cross-layer integration.
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A Treasure Trove of Performance: Analyzing the IO500 Submission Data
Analysis of 61 IO500 submissions shows four orders of magnitude score variation, strong phase correlations, and log-level file-system behaviors that aggregate scores miss.
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Priority Scheduling in the M/G/1 with Preemption Overhead
Derives recursive Laplace transform for response time distribution in M/G/1 preemptive priority with stochastic preemption overhead and introduces job joint transform for general overhead models.
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How to quantify direct correlations between variables
Jensen-Shannon regularized analogues of KL-based direct-correlation measures are introduced, taking values in [0,1] and accompanied by alphabet-size-dependent upper bounds under the observed marginal p(x,z).
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Help Converts Newcomers, Not Veterans: Generalized Reciprocity and Platform Engagement on Stack Overflow
Receiving help on Stack Overflow boosts helping behavior primarily among newcomers and declines with platform tenure, based on matched difference-in-differences survival analysis of over 21 million questions.
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RoMathExam: A Longitudinal Dataset of Romanian Math Exams (1895-2025) with a Seven-Decade Core (1957-2025)
RoMathExam supplies a century-long collection of Romanian math exams together with a new intrinsic complexity metric that correlates across frontier models at r > 0.72.
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Evolution of the contact between rough viscoelastic solids after decreasing loads: memory erasure and monotonic increase
Fractional viscoelastic rough contact models reproduce logarithmic aging but erase prior memory and lack any decreasing contact area phase after unloading; this holds for all linear viscoelastic models, requiring additional local internal variables.
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CIGaRS I: Combined simulation-based inference from type Ia supernovae and host photometry
A simulation-based inference framework that jointly models type Ia supernovae brightness dependences, host galaxy evolution, and cosmology from photometric observations.
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Comparing Two Categorical Gini Correlations with Applications to Classification Problems
Proposes an inferential framework to test differences in categorical Gini correlations for predictor importance in classification, establishing asymptotic normality and consistency while accommodating unequal dimensions and dependence.
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Simulations of gas inflow in the Milky Way I. Stellar-Feedback-Regulated Transport from the Central Molecular Zone to the Circumnuclear disk
Stellar feedback regulates radial gas inflow in the Milky Way center, yielding time-averaged rates that fall from 5e-3 to 1e-6 solar masses per year with both smooth secular and episodic components.
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Beating the Style Detector: Three Hours of Agentic Research on the AI-Text Arms Race
Agentic reproduction of an NLP study recovers original findings and demonstrates that GPT-5.5 and Claude Opus can reduce their AI-detection probability by shrinking detector margins through 20 feedback iterations.
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Information as Maximum-Caliber Deviation: A bridge between Integrated Information Theory and the Free Energy Principle
Information defined as maximum-caliber deviation derives IIT 3.0 cause-effect repertoires from constrained entropy maximization and equates to prediction error under CLT and LDT.
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Life After the Quasar: Overmassive Black Holes and Remnant Ionised Bubbles in and Around Two z~6.6 Galaxies
Two z~6.6 galaxies host overmassive black holes and show remnant ionized bubbles from recent quasar episodes, with BH-to-stellar mass ratios 400-800 times above the local relation.
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Contextual Agentic Memory is a Memo, Not True Memory
Agentic memory is lookup-based retrieval, not weight-based consolidation, creating a generalization ceiling on novel tasks and structural vulnerability to memory poisoning.
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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.
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Interactive Exploration of Large-scale Streamlines of Vector Fields via a Curve Segment Neighborhood Graph
A web system uses a Curve Segment Neighborhood Graph to support interactive community detection, force-directed layouts, and adjacency matrix views for exploring hundreds of thousands of streamlines in real time.
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Predicting success of cooperators across arbitrary heterogeneous environmental landscapes
A single spatial correlation index predicts cooperator fixation across arbitrary heterogeneous landscapes, with segregated environments enhancing and intermixed ones suppressing cooperation under weak selection.
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Predictive Modeling for High Impact Active Learning Classrooms
A model from 69 classes finds that 10-20% group worksheets, 20-40% group clicker questions, and at least two student questions per hour produce effect sizes over 2 in learning gains, while classes without group worksheets match lecture-only performance.
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Hybrid eTFCE-GRF: Exact Cluster-Size Retrieval with Analytical p-Values for Voxel-Based Morphometry
Hybrid eTFCE-GRF retrieves exact cluster sizes via union-find in one pass and converts them to analytical p-values using GRF theory, delivering permutation-free TFCE inference that is faster and exact.
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Do Good, Stay Longer? Temporal Patterns and Predictors of Newcomer-to-Core Transitions in Conventional OSS and OSS4SG
OSS4SG projects retain contributors at 2.2X higher rates with 19.6% higher core status probability than conventional OSS, and a late-spike temporal pattern enables faster core achievement (21 weeks) than early intensive contributions.
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Women in Theoretical Quantum Physics in Brazil:demographics, career profiles, recognition, and leadership
First comprehensive survey of 93 women in Brazilian theoretical quantum physics shows high output and international experience but limited productivity fellowships and equity initiative involvement.
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State-Space Dynamic Functional Regression for Multicurve Fixed Income Spread Analysis and Stress Testing
A novel state-space dynamic functional regression model is proposed for multicurve fixed income spread analysis and stress testing, integrating dynamic Nelson-Siegel with kernel PCA for tractable estimation.
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Too good to be true: People reject free gifts from robots because they infer bad intentions
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Towards precision cosmology with Void x CMB correlations (II): Impact of mock catalogs on the Void x CMB lensing signal
Void x CMB lensing from Roman mocks is robust to catalog construction choices and forecasts S/N of 13-31 sigma with Planck, SO, and CMB-S4-like data for 2D and 3D voids.
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High resolution large working distance scanning helium microscopy
Sub-micron resolution (340 nm beamwidth) achieved in large-working-distance pinhole scanning helium microscopy through constrained optimization of atom optics, redesigned pinhole plate, smaller pinhole, increased source distance, and larger detector aperture.
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Voices in the Loop: Mapping Participatory AI
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On convergence of the Mayer problems arising in the theory of financial markets with transaction cost
The optimal value and optimal control for the stochastic Mayer problem in markets with transaction costs are continuous under approximations of the price process in the general geometric framework with processes S and K.
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Non-unique time and market incompleteness
Non-unique time arising from event-driven order flow points to a foundational market incompleteness beyond usual no-arbitrage assumptions.
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Optimal basis risk weighting in expectile-based parametric insurance
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Towards Designing for Resilience: Community-Centered Deployment of an AI Business Planning Tool in a Small Business Center
An AI business planning tool deployed in community workshops lowers barriers to capital access but requires peer support to preserve sensemaking and build collective resilience in AI use.
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Healthcare AI for Automation or Allocation? A Transaction Cost Economics Framework
Clinician occupations show substantially higher transaction-cost intensity than non-clinician roles, mainly from information search and decision burdens.
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Towards precision cosmology with Voids x CMB correlations (I): Roman-Agora mock catalogs and pipeline validation
The authors introduce analog matching to generate Roman Space Telescope mock catalogs that reproduce emission-line galaxy statistics and highlight the need to match void properties separately from two-point clustering for CMB cross-correlation studies.
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Adaptive tuning of Hamiltonian Monte Carlo methods
ATune combines Gaussian theoretical analysis with burn-in simulation data to select system-specific splitting integrators and hyperparameter credible intervals for improved HMC stability and performance.
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A probabilistic reduced-order modeling framework for patient-specific cardio-mechanical analysis
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Spectral approximation of a new class of stochastic fractional evolution equations
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The evolution of argumentation mining: From models to social media and emerging tools
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Centering Ecological Goals in Automated Identification of Individual Animals
Automated identification of individual animals becomes ecologically useful only when development and evaluation are centered on specific ecological questions, available data realities, and the differing costs of different kinds of errors.
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Understanding the regulation of star formation within TNG100 galaxies on kpc-scales using machine learning I: Global versus local
Machine-learning analysis of TNG100 galaxies finds global properties (black-hole mass, halo mass) control quenching while local stellar density controls ongoing star formation.
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A Herding-Based Model of Technological Transfer and Economic Convergence: Evidence from Central and Eastern Europe
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How many VHE gamma-ray binaries with young pulsars can be observed?
Population synthesis of pulsar-massive star binaries yields an estimate for the number of observable VHE gamma-ray sources in the Galaxy, incorporating anisotropic wind-interaction zones.
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Visualizing Historical Book Trade Data: An Iterative Design Study with Close Collaboration with Domain Experts
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Revisiting the impact of stellar magnetic activity on the detectability of solar-like oscillations by Kepler
In a bias-cleaned sample of main-sequence stars, magnetic activity above solar maximum accounts for non-detection of p-modes in 32% of cases where amplitude is predicted sufficient, while stars with photometric activity index above 2000 ppm have 98.3% probability of no detected oscillations.
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Comparative Analysis of Polygon-Based and Global Machine Learning Models for Bus Occupancy Prediction
Localized polygon-based models trained on clustered bus stops achieve prediction accuracy comparable to a single global model when using ridership, spatial, weather, and temporal features.
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Jarvis-HEP: A lightweight Python framework for workflow composition and parameter scans in high-energy physics
Jarvis-HEP introduces a YAML-based Python framework for composing workflows and performing parameter scans in high-energy physics.
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Looking Beyond the Obvious: A Survey on Abstract Concept Recognition for Video Understanding
A literature survey on abstract concept recognition in videos that catalogs prior tasks and datasets while advocating for foundation models and reuse of decades of community experience.
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Diffuse and Localized Functional Dysconnectivity in Schizophrenia: a Bootstrapped Top-Down Approach
Bootstrapped multi-level analysis of functional connectivity data reveals reduced DMN connectivity, increased deactivation, and 13 significantly differing regions (mostly frontal) in schizophrenia versus controls.
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Extragalactic astrophysics with next-generation CMB experiments
Next-generation CMB experiments are expected to detect thousands of strongly lensed galaxies to z~6 and proto-clusters, plus tens of thousands of local dusty galaxies and radio sources, enabling new studies of galaxy formation.
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The s- and r- components of the proto-solar composition
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Compact Object Astrophysics with Frontline Astrometry
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