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ALOE: Semantically Addressed Low-Rank Operators for Knowledge Editing

arXiv:2609.29269v1 Announce Type: new Abstract: Knowledge editing changes what a model knows by modifying parameters so that a requested fact updates while unrelated behavior is preserved. This is usu

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An Agnostic Sample Compression Scheme for Squared Loss of Near-Linear Size in the Fat-Shattering Dimension

DGX agent

arXiv:2609.29696v1 Announce Type: new Abstract: We construct, for every function class Fsubseteq[0,1]^{X} and every accuracy 0<alphale 1, an agnostic sample compression scheme for the empirical square

researcharxiv-cs-lg

25 Sept 2026

An Analytical Theory of Auxiliary Learning

arXiv:2609.29774v1 Announce Type: new Abstract: Auxiliary learning is an optimization paradigm in which a neural network's performance on a target task is improved by jointly training it on additional

An Exposition of GPT Astra's Proof of Lower Bound on DP Continual Counting

arXiv:2609.28528v1 Announce Type: cross Abstract: The goal of this note is to give a detailed proof, to the best of our understanding, of the recent presentation by Harrison and Leeman (arXiv:2609.176

An Order-Theoretic Characterization of Consistent Inductive Inference

arXiv:2609.28551v1 Announce Type: cross Abstract: When can a learner make only finitely many prediction errors along every infinite sequence labeled by a fixed, unknown hypothesis? We characterize thi

Anatomy-Aligned Surface Field Learning for Myocardial Reconstruction from Sparse Short-Axis Cine MRI

arXiv:2609.29825v1 Announce Type: new Abstract: Patient-specific 4D myocardial reconstruction from cine MRI supports quantitative functional assessment, regional motion analysis, and simulation-based

Anchored Extra-Proximal Methods: Optimal Higher-Order Methods for Monotone Inclusion Problems

arXiv:2609.30212v1 Announce Type: cross Abstract: We study the deterministic oracle complexity of finding approximate solutions to composite monotone inclusion problems, formed by the sum of a smooth

Anthropomimetic Soft Robotic Forearm with Independently Articulated Carpal Bones Enabling Human-Like Adaptive Stiffness Modulability

arXiv:2609.29176v1 Announce Type: new Abstract: The human wrist exhibits adaptive stiffness modulability: joint stiffness anisotropy can be actively regulated through muscle co-contraction. This funct

AT-SKM-Net: An Accelerated Trainable Sampling Kaczmarz-Motzkin Framework for Linear Hard-Constraint Feasibility on Dynamic Graphs

arXiv:2609.30088v1 Announce Type: cross Abstract: Graph-structured optimization with linear constraints is fundamental to critical infrastructure but faces scalability limits due to massive strict har

Automated AI theorem proving has moved the frontier: The holy grail is not an AI that can produce an endless pile of true theorems. It’s an …

Automated AI theorem proving has moved the frontier: The holy grail is not an AI that can produce an endless pile of true theorems. It’s an AI that can discover mathematics, and build each discovery i

researchyann-lecun--x

Bandit Multiclass PAC Learning: Corrected Lower Bounds, Exact Families, and a Confidence Direct-Sum Phenomenon

arXiv:2609.29694v1 Announce Type: new Abstract: We study realizable multiclass PAC learning with bandit feedback: the learner observes an i.i.d. instance, predicts one of K labels, and learns only whe

Beyond Feature Reliability: Repeat-Informed Multifractal Curve Regression for Brain-Age Prediction

arXiv:2609.29307v1 Announce Type: new Abstract: Brain-age prediction from resting-state fMRI provides a quantitative framework for characterizing age-related changes in spontaneous brain dynamics and

Beyond Static Graph World Models: Learning Stochastic Latent Dynamics over Evolving Topologies

arXiv:2609.28670v1 Announce Type: cross Abstract: Graph-based world models have recently emerged as a means of learning transitions over relational state representations. However, existing approaches

BeyondRetarget: Learning Executable Humanoid Motions Directly from Monocular Video

arXiv:2609.29850v1 Announce Type: cross Abstract: Learning executable motions from human videos offers a scalable solution for humanoid robots to acquire demonstration motions. However, existing pipel

BiGraph-Diffuse: A Bidirectional Diffusion Language Model with Graph-Structured Retrieval For Mental Health Counseling

arXiv:2609.29519v1 Announce Type: new Abstract: Mental health disorders affect hundreds of millions of people around the world, yet access to professional counseling remains severely limited. AI-power

BLADE: Distilled LLM Regularization for Calibrated Knowledge Graph Completion

arXiv:2609.29487v1 Announce Type: new Abstract: Knowledge graph completion models optimize ranking, although many downstream applications require calibrated probabilities. We present BLADE, a variatio

Body-Grounded Replanning for Physically Adaptive Manipulation

arXiv:2609.30024v1 Announce Type: new Abstract: Manipulation requires not only reasoning about the external environment, but also about the robot's physical condition. A strategy may remain geometrica

BRFID: Toward Byzantine-Robust Federated Intrusion Detection

arXiv:2609.28599v1 Announce Type: cross Abstract: Flipping 60% of training labels from a single Byzantine client using label-flipping model poisoning self-degrades an attacker's own federated detectio

BridgeMem: Causal Dyadic Transition Residuals for Temporal Knowledge Graph Forecasting

arXiv:2609.29268v1 Announce Type: new Abstract: Temporal knowledge graph forecasting aims to infer future relational facts from the temporal structure of observed events. Existing forecasters mainly s

Bridging the Inter-Domain Gap through Low-Level Features for Cross-Modal Medical Image Segmentation

arXiv:2505.11909v2 Announce Type: replace-cross Abstract: This paper addresses cross-modal medical image segmentation, focusing on MRI-CT transfer in a source-only domain generalization setting. Durin

Broadening Uncertainty Estimation for Audio Question Answering Across Methods, Formats, and Inputs

arXiv:2609.28879v1 Announce Type: cross Abstract: Audio-language models can produce confident answers unsupported by the audio, motivating uncertainty estimates that identify unreliable responses. We

C-space Analysis using Tropical Geometry

arXiv:2609.29355v1 Announce Type: new Abstract: Configuration space~(C-space) of a mechanism is a real variety describing the set of feasible configurations that it can attain. To understand the behav

C3M: Cross-Session Multimodal Memory Maintenance for Long-Horizon Tasks

arXiv:2609.29735v1 Announce Type: new Abstract: Long-horizon tasks require preserving and later recovering cross-session evidence under a bounded, query-blind memory budget. Existing compression can d

CaliPPer: quantifying, predicting and improving AI model performance for binding prediction

arXiv:2606.07258v1 Announce Type: cross Abstract: Binding prediction models accelerate therapeutic antibody and TCR discovery, but their performance on new datasets is unpredictable, often leading to

CAMP: Cooperative Arm-Hand Motion Planning in Constrained Spaces

arXiv:2609.29021v1 Announce Type: new Abstract: Coordinated arm-hand motion planning is fundamental to dexterous robotic manipulation in complex and constrained environments. A straightforward solutio

Can Classical Semantic-Extractive Summarization Be Evaluated in Hindi? A Replication Study

arXiv:2609.29090v1 Announce Type: cross Abstract: We replicate the distributional-semantics extractive summarisation method of Mohd, Jan and Shah (2020) and adapt it to Hindi, substituting a Devanagar

Can Labor Markets Function in the Age of AI? The Evaluation Bottleneck in Hiring

arXiv:2609.30058v1 Announce Type: cross Abstract: AI-assisted job-search tools have become increasingly popular by making it easier to find and apply to jobs. But by making it easier for applicants to

Capturing Unseen Spatial Heat Extremes Through Dependence-Aware Generative Modeling

arXiv:2507.09211v3 Announce Type: replace Abstract: Observed records of climate extremes provide an incomplete view of plausible hazards, missing 'unseen' events beyond historical experience. Ignoring

CatSIM: A Categorical Image Similarity Metric

arXiv:2004.09073v2 Announce Type: replace Abstract: We introduce CatSIM, a new similarity metric for binary and multinary two- and three-dimensional images and volumes. CatSIM uses a structural simila

Certified Predictive Value-of-Advice Gating for Cost-Aware Language-Model Guidance in Reinforcement Learning

arXiv:2609.29548v1 Announce Type: new Abstract: Language-model advice can accelerate reinforcement learning, but calls are costly and returned actions may be stale or wrong. We formulate advice acquis

Claim-Gated Source-Risk Auditing for Generative Search

arXiv:2609.29145v1 Announce Type: new Abstract: A generative search answer can cite a supported passage yet omit a source relationship that changes its interpretation. We specify a claim-gated audit o

Classifier-Dependent Benefits of Pseudo-Labeling for Semi-Supervised Android Malware Attribution

arXiv:2609.29564v1 Announce Type: new Abstract: Detecting and classifying Android malware families remains challenging due to high feature dimensionality, class imbalance, and the high cost of expert-

Clinical Knowledge Graphs for Chest X-Ray Device Reasoning

arXiv:2609.29536v1 Announce Type: new Abstract: Chest radiographs are routinely used to verify the position of catheters, tubes, and other support devices. Existing image models often return labels or

Common Covariance Geometry and Certification for Brownian Kernel Ladders

arXiv:2609.29525v1 Announce Type: new Abstract: A representation-adaptive kernel class produces, on a fixed sample, a union of reproducing-kernel Hilbert-space ellipsoids rather than one ellipsoid. We

Comparing YOLOv11 and YOLOv8 for instance segmentation of occluded and non-occluded immature green fruits in complex orchard environment

arXiv:2410.19869v4 Announce Type: replace Abstract: This study conducted a comprehensive performance evaluation on YOLO11 (or YOLOv11) and YOLOv8, the latest in the 'You Only Look Once' (YOLO) series,

ConPro: Contrast Projection Pretraining for Label-Efficient Vessel Segmentation in DSA Sequences

arXiv:2609.30043v1 Announce Type: new Abstract: Dense vessel annotation in digital subtraction angiography (DSA) is labor-intensive, yet every unlabeled sequence records how contrast passes through th

Contact as a Decision Variable: Capability-Tradeoff Contact Selection for Legged Loco-Manipulation

arXiv:2609.30140v1 Announce Type: new Abstract: In this paper, we study the joint selection of an environmental support contact and a whole-body configuration for a prescribed loco-manipulation task.

Context-aware Skin Cancer Epithelial Cell Classification with Scalable Graph Transformers

arXiv:2602.15783v2 Announce Type: replace Abstract: Whole-slide images (WSIs) from cancer patients contain rich information that can be used for medical diagnosis or to follow treatment progress. To a

Controlling Backchannels in Streamable Full-duplex Models

arXiv:2609.29418v1 Announce Type: new Abstract: Backchannels, brief acknowledgements like 'uh-huh' produced while the other party may still be talking, are central to natural conversation, but full-du

researcharxiv-cs-cl

Cost-Sensitive Online Window Size Selection for Portfolio Management

arXiv:2609.29887v1 Announce Type: cross Abstract: This paper investigates cost-sensitive online window size selection for portfolio management under changing market conditions. Specifically, we propos

Cultural Divergence Preservation: Diagnosing Flattening and Caricature in LLM-Simulated Survey Populations

arXiv:2609.29928v1 Announce Type: cross Abstract: Large language models (LLMs) are increasingly used as synthetic survey respondents to estimate population response distributions. In cross-cultural su

Decision Hijacking: Prompt Injection Attacks on Jev's Typed Probabilistic Decisions

arXiv:2609.28613v1 Announce Type: cross Abstract: Most studies of prompt injection focus on generative agents, leaving their effects on models with schema-defined outputs unclear. We examine these eff

Decoding Imagined Speech: A Strictly Subject-Independent Approach Using EEG

arXiv:2609.29820v1 Announce Type: new Abstract: Imagined speech decoding from electroencephalography (EEG) has gained increasing attention as a potential communication pathway for individuals with sev

Decoupled Learning and Selection in Slate Recommendation for Privacy and Stability Under Noisy Scores

arXiv:2609.29453v1 Announce Type: new Abstract: We formalize slate recommendation as a randomized score learner followed by deterministic selection. First, an appropriately scoped differential-privacy

Deep learning of longitudinal visual fields predicts glaucoma progression rate and identifies fast progressors

arXiv:2609.29256v1 Announce Type: cross Abstract: Glaucoma is the leading cause of irreversible blindness, and timely identification of fast progressors is essential to prevent disability. Current pra

Deep Positive-Unlabeled Anomaly Detection for Contaminated Unlabeled Data

arXiv:2405.18929v3 Announce Type: replace-cross Abstract: Semi-supervised anomaly detection, which aims to improve the anomaly detection performance by using a small amount of labeled anomaly data in

Dense-Joint-Based Obstacle-Aided Locomotion with a Joint-Repositionable Snake Robot

arXiv:2609.29261v1 Announce Type: new Abstract: Obstacle-aided locomotion is a fundamental capability for snake robots to traverse complex environments. However, conventional rigid-link snake robots o

Detecting Glaucoma Across Multi-ethnic Myopic and Non-Myopic Populations Using an Uncertainty-Aware Vision Transformer: A Multicentre Model Development and Validation Study

arXiv:2609.29433v1 Announce Type: cross Abstract: Background: Artificial intelligence (AI)-based glaucoma detection from colour fundus photographs (CFP) offers scalable screening, but performance may