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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 193
CocoRNA: Collective RNA Design with Cooperative Multi-agent Reinforcement Learning
Designing RNA sequences that reliably fold into specific secondary structures is essential for understanding their biological functions but remains a challenging computational problem.Learning without relearning physical symmetry: an SO(3)-equivariant convolutional network (CNN) on the sphere
Many of the most important datasets in the physical sciences live natively on the sphere, and these data often carry no preferred position or orientation.ENFR: Evidence Networks with Flow-Matched References for Amortized Simulation-Based Model Inference
The evidence, $\mathcal{Z} = p(x | \mathcal{M})$, of a data-generating model $\mathcal{M}$ is a powerful tool in Bayesian frameworks: it enables model inference, model misspecification tests, and…Quality-of-Transmission Estimation in Quantum Networks: Compute, Simulate, or Learn?
Future quantum networks will rely on control-plane decisions such as routing, scheduling, entanglement provisioning, purification, and memory allocation.Waiting Buys Exactly Two Moments: Endogenous Identification in Prediction-Driven Allocation
A planner with a fixed budget of preventive help must decide whom to help and when.Beyond the Answer: Student-Conditioned Trace Construction for Reasoning Distillation
A reasoning trace can accompany a correct answer without providing effective supervision for a particular student.Task-aligned spectral inductive biases in parameterized quantum circuits
Parameterized quantum circuits are widely investigated in quantum machine learning, yet how their architecture can provide task-aligned inductive biases remains poorly understood.Behavioral Couplings: From Formation to Behavioral Emergence in Language Models
Fine-tuning large language models (LLMs) can induce behaviors beyond those explicitly targeted.Unified Multiparadigm Fusion Intelligence for Rare Disease Diagnosis
Rare diseases (RDs) affect an estimated 300 million people globally, leaving patients to navigate a protracted diagnostic odyssey constrained by clinical scarcity and fragmented medical knowledge.Dynamical Kernel Attention: Estimating the Present from a Record of the Past
Standard self-attention compares tokens by similarity but does not account for how much of a past state survives to the present.Do Knowledge and Reasoning Oriented Benchmarks Induce Stable Representation Signatures in LLMs?
Internal signatures could support monitoring, adaptive computation, and mechanistic analysis, but benchmark prompts can be separable without any shared computational distinction.When Does Evidence-Graph Structure Predict Answer Correctness? Label-Free Abstention for Structured Retrieval
Retrieval systems return scored answers, but a high score does not show that an answer should be trusted.Visual Causal-chain Bookmarking: Retrieval-Weighted Credit Assignment for Reinforcement Learning from Delayed Reward
RL agents trained on a single trajectory-level return face a credit-assignment problem: when a reward arrives many steps after the decision that caused it, every action gets the same signal…Client-Aware Security Adaptive Early Exit Vision Transformers for Heterogeneous Federated Learning
Federated learning (FL) trains a shared model across data-owning clients without centralizing raw data, but client data difficulty and compute budgets can differ.What Remains Without Test Labels? Re-evaluating a Graph-Level Anomaly Detection Benchmark
Graph-level anomaly detectors are trained only on normal graphs, yet benchmarks may use test labels for model selection.Alliance of Stochastic Routing and Reinforcement Fusion for Multi-Model Reasoning
This paper studies dynamic model routing under uncertainty in multimodal settings, where a system must select and potentially compose multiple models to answer a query.ToolRosetta: Surface-Form Invariance of Tool-Call Guards
Step-level guards for tool-using agents are evaluated on tidy JSON tool calls, but deployed coding agents act through execute_bash and execute_code tools whose payloads are strings.OrTeN: Neural Inverse Graphics for Joint Terrain and Line-scan Camera Trajectory Reconstruction
Digital terrain maps (DTMs) are used for landing site selection, terrain-relative navigation, and geological analysis in planetary exploration.Location, Location, Generation: Where You Ask Matters for Generative Engine Optimization
Generative search engines answer local and commercial questions with a written answer and a few cited sources.GLOW: General Linear Models Optimized with Ward's Method
Neuroimaging seeks brain regions whose imaging features correlate with variables of interest (e.g., diagnosis, age), usually via the General Linear Model (GLM).