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The newest 5,000 papers, from 12 October 2026 to 5 November 2026: 5,000 arXiv preprints.
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Newest papers, page 99
When Respondents Are Scarce: LLM-Derived Semantic Priors for Bayesian Confirmatory Factor Analysis
Across social and behavioral research, measuring latent constructs can be challenging when target populations are small or difficult to reach.Recovering Black-Box Point Cloud Models from Pose Shifts via Derivative-Free Optimization
Point cloud models are increasingly deployed through score-only black-box interfaces.AgriDefend: A $205 Offline Edge Device that Detects Crop Stress Before Visible Symptoms via Multimodal AI Fusion
Most in-field crop-monitoring devices sense a single modality -- either a camera looking at the canopy or a probe reading the soil -- and so cannot detect stress that begins below ground before it…Priority-Preserving Advantage Aggregation for Multi-Reward Policy Optimization
LLM post-training often optimizes multiple objectives with unequal priorities, such as correctness and reasoning efficiency.AIPC: Evidence-Guided Agent Workflows for PyTorch Project Deployment
Deploying and optimizing a PyTorch inference project on a dedicated accelerator, especially an on-device NPU, requires more than using a framework device API as with CUDA.Checkpoint Reload Explains Most of the Measured State Gap in Two State Discovery Reproductions
Temporal models that maintain per-sequence latent states during training must reconstruct those states when the stored table is unavailable at inference.LE-GDA: Layer Ensemble Gaussian Discriminant Analysis for Training-Free Few-Shot CLIP Adaptation
Training-free few-shot adaptation of vision-language models typically constructs a classifier from CLIP's final projected image representation, leaving intermediate representations unused.Accuracy and efficiency of compact foundation models for surface-water mapping during floods
Pretrained Earth observation models may reduce the effort needed to map surface water, but their value depends on the alternative against which they are compared.End-to-End MXFP8 Reinforcement Learning on Blackwell: What Matching Buys, When It Pays Off, and How It Fails
Low-precision arithmetic can make reinforcement learning (RL) for large language models cheaper, but RL requires the sampler and the learner to agree.Attack logics, not outputs: Concept-based Property Attacks for Shortcut Elimination in Neural Networks
Deep neural networks (NNs) for computer vision are vulnerable to adversarial attacks, such that minuscule malicious changes to inputs may induce unintuitive outputs.A Hierarchical Method for Environmental Sounds Recognition in Complex Acoustic Scenes
Environmental noise identification is essential for noise control, yet conventional single-stage classifiers suffer from class confusion under imbalanced multiclass conditions.A Certified Robustness Framework for Backdoor Poisoning Attacks using $f$-Divergences
Machine learning systems trained on untrusted data are vulnerable to data and backdoor poisoning attacks, in which an adversary corrupts training and test samples to manipulate predictions at…Intellectual Property Protection of Hyperdimensional Computing Classifiers: Black-Box Ownership Verification via Model Watermarking
Hyperdimensional computing (HDC) offers efficient learning and inference for resource-constrained systems, yet ownership verification of its models remains underexplored.Relational Composition as Parallel Transport: What Per-Entity Frames Force in Attention
A dot product means something only when both vectors share a coordinate system.Correlation-Aware Exploration for Long-Trace Reasoning
Reasoning models trained with Group Relative Policy Optimization (GRPO) now produce chains of thought thousands of tokens long, and recent studies reveal that such training is prone to policy…MINT: Mitigating Structural Inconsistency via Attentive Message Passing for Financial Anomaly Detection
Illicit account detection is a critical task for financial risk control systems, aiming to pinpoint malicious actors within transaction networks.Improving Reasoning with Rollout Agreement for Group-Based Policy Optimization
Recent methods for Reinforcement Learning with Verifiable Rewards (RLVR) use rollout diversity to improve reasoning performance or training efficiency.Beyond feature attribution: Recovering latent interaction structures in machine learning models via localized CBFI
Understanding individual predictions in complex tabular models remains challenging, as existing additive frameworks like SHAP and LIME often obscure structural logic by absorbing nonlinear…SVD-Attention: Efficiently Analyzing Attention Blocks in Transformers
Pretrained transformers spend a large share of their inference compute inside self-attention, yet the per-head query-key interaction is structurally low-rank by construction.Sparse Recovery Bird's-Eye View Model Soup for Robust Camera-Based 3D Object Detection
Camera-based bird's-eye view (BEV) perception methods such as Fast-BEV have demonstrated promising results with fast inference speed and competitive accuracy.