JackZebra performs long-horizon route hijacking of vision-based AVs by converting adversarial patches into online-selected steering primitives via closed-loop control from an attacker vehicle.
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representative citing papers
Fetal-Gauge benchmark shows state-of-the-art vision-language models reach only 55% accuracy on fetal ultrasound tasks, well below clinical needs and highlighting the requirement for domain-adapted models.
Derives non-asymptotic 2-norm and infinity-norm error bounds for deterministic and stochastic variants of OPTQ and Qronos PTQ algorithms.
A new 321-patient multi-center breast FNAC WSI dataset with 7398 patch-level C1-C5 annotations is released for AI-assisted classification research.
The cubic sum rule of S(q,ω) is tested as a kinetic energy estimator using PIMC data and dielectric models for the uniform electron gas, confirming consistency with thermodynamics but exposing flaws in semi-classical approximations.
STEMGym benchmark demonstrates that perception pipelines dominate dose efficiency in autonomous STEM over navigation methods across 33 agent setups.
A parton-shower-inspired local subtraction scheme for double-real corrections in color singlet decays is introduced, with finiteness verified for the e+e- to qqbar remainder and phase-space integrals computed analytically and via sector decomposition.
ColumnKeeper provides the first mitigations for ColumnDisturb using per-subarray counters or probabilistic refresh, with low overheads at 1M and 128K thresholds.
FAIR+S extends FAIR with sustainability metrics and is validated via expert survey confirming importance but revealing awareness gaps in green practices.
Proves sharp threshold on mutation parameter χ for (1+1)-EA on Dynamic Binary Value and Uniform weight dynamic linear problems, yielding O(n log n) runtime below threshold and 2^Ω(n) above, plus a second stagnation-distance threshold for the former.
POPSICLE introduces benchmark datasets for cryoET segmentation and localization built from the CryoET Data Portal.
First unified benchmark finds GLR family has only 3x median slowdown over LR(1) on deterministic grammars and is the fastest among generalized parsers.
Introduces ESAS benchmark dataset using LLM-assisted event injection into acoustic scenes, showing significant performance drops in existing ASC models.
Optimal SSB frame origin for LGWA cuts sampling time by 10x and tightens chirp mass and sky position constraints for stellar-mass binaries beyond LVK performance.
Randomized experiment finds AI draft assistance raises feedback provision by teaching assistants 10.8 percentage points without harming quality.
A matched-pair protocol and Accurate Differentiation Rate metric reveal that conventional LLM accuracy on SAT problems is often inflated by over-predicting satisfiability, while cross-representation agreement exceeds 80 percent for most models.
A new greedy rebalancing algorithm for multi-constraint hypergraphs, integrated into Mt-KaHyPar, reduces geometric mean connectivity by 11.5% versus Metis while improving partition balance reliability.
mcp-attested adds attested admission to MCP via signed clearance assertions at a well-known URI, deny-by-default tool allowlists, and gated enforcement that turns warnings into hard denials with tamper-evident logs.
Bayesian optimization identifies cement-salt hydrate composites achieving up to five times higher specific energy than prior cement-based TCES materials, with LiCl-based formulations reaching 458 kJ/kg.
FLDD learns non-Markovian marginal and posterior distributions for the forward process so a factorized reverse process can match the target better and produce higher-quality samples in fewer steps.
Human face perception aligns with neural networks trained on inverse-generative and naturalistic discriminative tasks, as these best predict human dissimilarity judgments on controversial and random face pairs.
An SMT-based active learning algorithm learns minimal nondeterministic weighted automata over arbitrary semirings, with partial correctness proofs, a sufficient termination condition, and experiments showing smaller models and fewer queries than baselines.
Rabi coupling allows a third component to join a self-bound binary quantum droplet in Bose gases, stabilized by finite detuning despite added repulsive forces.
FDA-QC combines functional data analysis of curves with quasi-conformal mappings to register and analyze both boundaries and interiors of planar biological shapes for morphing and variation studies.
citing papers explorer
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Model-independent searches of new physics in DARWIN with a semi-supervised deep learning pipeline
Semi-supervised DL anomaly detector (VAE + classifier) for model-independent searches in DARWIN, outperforming classical likelihood tests on simulated WIMP injections while learning directly from raw high-dimensional outputs.
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An adiabatic quantum algorithm for the Frobenius problem
Develops an adiabatic quantum algorithm for the Frobenius problem by translating the Apéry set into a QUBO instance for D-Wave machines.
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In Situ Measurements of the Reflectances of the LSSTCam Optics and Assessing the Impact of Optical Ghosts
In-situ measurements confirm ~2% reflectance for LSSTCam optics and simulations show optical ghosts impact ~0.57% of the focal plane averaged across bands.
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Performance Analysis in Parallel Programming Education: A Comparative Usability Study
EduMPI is a new educational GUI tool for MPI performance visualization whose comparative user study indicates it lowers entry barriers for students relative to professional analysis tools.
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CSAR: Containerized System Architecture for Robotics
CSAR introduces a three-layer containerized architecture for robotics teams that combines system containers with ROS 2 to deliver isolation, resource sharing, and orchestration in edge-cloud environments.
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Assessing the Predictability of $\delta$ Scuti Variable Stars for Spacecraft Navigation
Analysis of 120 δ Scuti stars from Kepler and K2 data identifies 32 candidates with sufficiently predictable light curves for potential spacecraft navigation, cross-checked against TESS observations.
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Prompt Quality and Pull Request Outcomes: A Stage-Based Empirical Study of LLM-Assisted Development
Specificity and Context predict actionable code generation while Verification predicts adoption and Context predicts integration depth in LLM-assisted PR workflows.
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ESBMC-GraphPLC: Formal Verification of Graphical PLCopen XML Ladder Diagram Programs Using SMT-Based Model Checking
ESBMC-GraphPLC implements a graph traversal resolver that extracts Boolean rung logic from graphical LD connection graphs and produces complete GOTO IR, enabling verification of programs that previously yielded empty representations.
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Collaborative estimation and evaluation of SARS-CoV-2 variant nowcasting in the United States
A new collaborative hub for nowcasting SARS-CoV-2 variant frequencies at US state level was built and tested; a simple national pooling baseline performed as well as or better than individual models during October 2024–June 2025.
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Evidence-Guided Neural Architecture Selection under Uncertainty for Subject-Specific Blood Glucose Forecasting
EVIDENT selects the lowest-capacity TCN architecture satisfying a validation criterion via Bayesian evidence ranking, yielding more consistent generalization to unseen diabetes patients than random search.
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CEON: Circular Economy Ontology Network
The authors created CEON, an ontology network defining cross-sectorial concepts for the circular economy to enable semantics-aware data documentation, demonstrated in construction, electronics, and textile sectors.
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Federated Learning for Multivariate Time Series Anomaly Detection in Industrial Automation
Introduces a cyclic-dynamics dataset for industrial MTSAD and benchmarks federated anomaly detection methods on it and a public dataset.
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ARMA-C3: A Contrastive ARMA Convolutional Framework for Unsupervised and Semi-supervised Classification
ARMA-C3 introduces a contrastive ARMA convolutional graph framework for unsupervised and semi-supervised node classification on biomedical imaging datasets.
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Elastica++: A high-performance, multiphysics framework for large interacting assemblies of Cosserat rods
Elastica++ is a new open-source high-performance framework for large-scale Cosserat rod simulations supporting multiphysics and parallel execution.
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Unitaria: Quantum Linear Algebra via Block Encodings
Unitaria is a new open-source Python library that provides a high-level, composable interface for block encodings in quantum computing, enabling automatic circuit generation and classical simulation-based verification.
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Cross-Model Consistency of Feature Importance in Electrospinning: Separating Robust from Model-Dependent Features
Solution concentration is the only robust feature across ML models for electrospinning while flow rate and applied voltage show high model-dependent variability in importance rankings.
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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.
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A Dynamic Learning Observatory Reveals the Rapid Salinization of Satkhira, Bangladesh
A machine-learning framework maps soil salinity in Satkhira, Bangladesh, from field samples and Landsat indices, revealing expanding moderate-to-high salinity zones over the past decade.
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Exploring Ethical Concerns of Mobile Applications from App Reviews: A Literature Survey
A systematic literature survey of 37 studies synthesizes methods for identifying ethical concerns from app reviews and proposes a research agenda focused on automated detection.
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From Code to Figure: A FAIR-Aligned Data Provenance Chain for Reproducible Simulation Research in Numerical Physics
An integrated workflow using version control, code review, automated testing, structured logging, metadata-rich output, and standardized post-processing creates a FAIR-aligned provenance chain from code development to published figures in numerical physics simulations.
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mosaiks are made of tesserae: GUI design for a co-simulation framework
Tesserae provide grouped entity creation and simultaneous connections with consistent multidirectional data flow in mosaik, enabled by a new drag-and-drop GUI.
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Construction and characterisation of the DarkSide-20k veto silicon photo-multiplier tiles
Veto SiPM tiles for DarkSide-20k were built and characterized with 87 percent yield, stable cryogenic operation, and low contamination to support background rejection.
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Development of a dual-phase xenon time projection chamber prototype for the RELICS experiment
A prototype xenon TPC for the RELICS reactor neutrino experiment reached sub-keV threshold, measured single-electron gain of 34.3 PE/e-, and detected 0.27 keV events from 37Ar decay.
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GreenMalloc: Allocator Optimisation for Industrial Workloads
GreenMalloc applies NSGA-II with a rand_malloc proxy to discover allocator configurations that reduce average heap usage by up to 4.1% across workloads when evaluated in gem5, with no runtime penalty and a 0.25% efficiency gain.
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Representation Paradigms in AI-based 3D Radiological Image Reconstruction: A Systematic Review
A systematic review that categorizes AI-based 3D radiological image reconstruction algorithms into four representation paradigms, summarizes evaluation metrics and datasets, and outlines challenges and future directions.
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Green Prompting: Characterizing Prompt-driven Energy Costs of LLM Inference
Empirical tests on three LLMs show prompt semantics and task keywords drive inference energy costs more than length, with varying patterns by task.
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The Atacama Large Aperture Submillimeter Telescope (AtLAST)
Proposes the AtLAST 50m submm telescope concept with 1-degree field of view and advanced instruments to achieve transformative wide-field mapping of the sub-mm sky.
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Molecular neutron spectroscopy techniques applied to ceramics $\alpha$-SiC and $\beta$-Ga$_2$O$_3$
Approximate incoherent simulations of 1-D powder inelastic neutron scattering spectra match both experiment and full coherent calculations for α-SiC and β-Ga₂O₃, indicating the method suits harmonic phonons in most powder samples.
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Interstellar extinction, polarization efficiency, and grain alignment in the direction towards bright-rimmed clouds and cometary globules
Polarization efficiency towards these clouds decreases with extinction and shows a slight increase with dust temperature in some cases with ordered fields, consistent with radiative torque alignment.
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A Comprehensive Survey on Agent Skills: Taxonomy, Techniques, and Applications
A survey that defines agent skills as reusable procedural artifacts and reviews methods, resources, and applications across their representation, acquisition, retrieval, and evolution stages.
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Hu\'i S\`u: Co-constructing a Dual Feedback Apparatus
A musical performance co-produces sound through dual feedback loops between a RAVE-based neural audio instrument and a recurrent neural control system, exploring shared agency with human performers.
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Benefits of Low-Cost Bio-Inspiration in the Age of Overparametrization
Shallow MLPs and dense CPGs outperform deeper MLPs and Actor-Critic RL in bounded robot control tasks with limited proprioception, with a Parameter Impact metric indicating extra RL parameters yield no performance gain over evolutionary strategies.
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Large-Scale Quantum Circuit Simulation on HPC Cluster via Cache Blocking, Boosting, and Gate Fusion Optimization
New merge booster and diagonal detector components, combined with cache blocking and gate fusion, deliver up to 160x speedup on circuit benchmarks and 34x on diagonal-heavy gates versus prior simulators.
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Renormalization group evolution induced breaking of $\mu-\tau$ reflection symmetry in MSSM with effects of variation of $tan\beta$
RG evolution from a high flavor scale breaks exact μ-τ reflection symmetry in the MSSM neutrino sector, with the breaking pattern depending on the choice of tanβ for both normal and inverted mass orderings.
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Employing Continuous Integration inspired workflows for benchmarking of scientific software -- a use case on numerical cut cell quadrature
Continuous integration workflows automate benchmarking of numerical cut-cell quadrature across scientific software packages.
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IceCube Results and Perspective for Neutrinos from LHAASO Sources
Reviews IceCube neutrino results, models Galactic plane flux from cosmic ray interactions with the interstellar medium, and discusses prospects for identifying PeVatrons via LHAASO sources.
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SciPy 1.0--Fundamental Algorithms for Scientific Computing in Python
SciPy 1.0 documents a mature open-source library that has become the de facto standard for scientific algorithms in Python with broad adoption across research projects.
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MPEX AI Digital Twins Milestone Report
The MPEX AI Digital Twins project reports that its two phase-I AI milestones for hot-spot control and damage assessment are on track for June 2026 demonstration.
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Quantum computing with Qiskit
Qiskit is an open-source SDK that supports quantum circuit design, optimization at multiple abstraction levels, execution on hardware, and dynamic quantum-classical computations.
- AI4EOSC: a Federated Cloud Platform for Artificial Intelligence in Scientific Research