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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FETAL-GAUGE: A Benchmark for Assessing Vision-Language Models in Fetal Ultrasound
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.
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Provable Post-Training Quantization: Theoretical Analysis of OPTQ and Qronos
Derives non-asymptotic 2-norm and infinity-norm error bounds for deterministic and stochastic variants of OPTQ and Qronos PTQ algorithms.
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Fragile Knowledge, Robust Instruction-Following: The Width Pruning Dichotomy in Llama-3.2
Width pruning in Llama-3.2 models reduces parametric knowledge while enhancing instruction-following and preserving reasoning.
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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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Time-RA: Towards Time Series Reasoning for Anomaly Diagnosis with LLM Feedback
Time-RA reformulates time series anomaly detection as a reasoning-intensive generative task and provides the RATs40K multimodal benchmark to evaluate and improve LLM-based diagnosis.
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Preparation Circuits for Matrix Product States by Classical Variational Disentanglement
A layer-by-layer classical variational disentanglement algorithm compiles preparation circuits for matrix product states by minimizing bipartite entanglement to reduce bond dimensions.
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Exploring Exploration in Bayesian Optimization
Introduces observation traveling salesman distance and observation entropy to quantify exploration in Bayesian optimization acquisition functions and links them to empirical performance.
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Leveraging ASIC AI Chips for Homomorphic Encryption
CROSS compiler maps HE workloads to TPU architecture via basis-aligned and memory-aligned transformations, reporting higher throughput-per-watt than prior GPU and ASIC libraries on NTT and HE operators.
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Generating Verifiable Chain of Thoughts from Exection-Traces
A pipeline produces 54,000 execution-trace-verified bi-directional Chain-of-Thought rationales for code, and fine-tuning on them yields gains up to 26.6 points on LiveCodeBench-Exec and similar benchmarks.
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Mapping Microstructure: Manifold Construction for Accelerated Materials Exploration
Distribution-based microstructure descriptors recover a two-dimensional latent manifold aligned with processing parameters in spinodal decomposition simulations, enabling invertible mappings.
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The Fast and the Frame-Dragging: Efficient waveforms for asymmetric-mass eccentric equatorial inspirals into rapidly-spinning black holes
Extends FEW to produce adiabatic waveforms for eccentric equatorial inspirals into spinning black holes (|a|≤0.999) in ~100 ms with ~10^{-5} mismatches to reference waveforms.
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VerteNet -- A Multi-Context Hybrid CNN Transformer for Accurate Vertebral Landmark Localization in Lateral Spine DXA Images
A dual-resolution self- and cross-attention hybrid model localizes T12-L5 vertebral landmarks in multi-scanner DXA images with normalized mean error 4.92 pixels and median 2.35 pixels, outperforming baselines.
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Quasinormal mode/grey-body factor correspondence for Kerr black holes
WKB analysis of the Teukolsky equation establishes a quasinormal-mode to greybody-factor correspondence for Kerr black holes that holds in the eikonal limit for gravitational perturbations and matches numerics at high angular momentum.
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Knobs and dials of retrieving JWST transmission spectra. II. Impacts of pipeline-level differences on retrieval posteriors
Retrieval posteriors for WASP-39 b differ between transmission spectra reduced from identical JWST raw data, producing stable Gaussian distributions for well-constrained species like H2O and CO2 but unstable heavy-tailed distributions for species like SO2 and C2H2.
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Stochastic simulation of partial discharge inception
Monte Carlo method simulates electron avalanches with feedback to estimate discharge inception probability and time lag per initial electron position across 2D and 3D electrode geometries.
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BABY 1L: First Tritium Breeding Campaign Results
BABY 1L reports a six-fold higher measured Tritium Breeding Ratio than the prior 100 mL campaign, with experimental values in good agreement with OpenMC simulations and diffusion-limited release dynamics identified.
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Systematic errors in fast relativistic waveforms for Extreme Mass Ratio Inspirals
For high-spin Kerr circular orbits, l_max >=30 and Chebyshev interpolation with global relative flux error matching the mass ratio yield mismatches below 10^{-3} and negligible parameter biases in 4-year EMRI signals with SNR ~100.
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AVEX: What Matters for Animal Vocalization Encoding
Large empirical study finds self-supervised pre-training then supervised post-training on mixed bioacoustics and general audio data produces the strongest encoders across 26 datasets for species classification, detection, individual ID and repertoire discovery.
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AlphaEarth Foundations: An embedding field model for accurate and efficient global mapping from sparse label data
AlphaEarth Foundations produces general geospatial embedding fields that consistently outperform other featurization methods on diverse mapping tasks from sparse labels and releases annual global layers for 2017-2024.
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Assessment of normalizing flows for parameter estimation on time-frequency representations of gravitational-wave data
GP15 maps BBH spectrograms to parameter posteriors via residual networks and normalizing flows, producing results consistent with LVK analyses on GWTC-2.1 and GWTC-3 events while running in seconds.
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Artificial Intelligence in Number Theory: LLMs for Algorithm Generation and Ensemble Methods for Conjecture Verification
LLM reaches >=0.95 accuracy on 60 number theory problems with optimal hints; LightGBM classifier empirically supports Dirichlet conductor conjecture via zero features at 93.9% test accuracy for small q.
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OpDiffer: LLM-Assisted Opcode-Level Differential Testing of Ethereum Virtual Machine
OpDiffer applies LLMs and static analysis to opcode-level differential testing of EVMs, reporting 26 previously unknown bugs across nine implementations along with coverage gains and an estimate that 7.21% of real contracts could trigger the bugs.
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Surgical Visual Understanding (SurgVU) Dataset
Releases the SurgVU dataset of surgical videos and labels to enable machine learning research in surgical data science.
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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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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.
- AI4EOSC: a Federated Cloud Platform for Artificial Intelligence in Scientific Research