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Artificial Intelligence
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The newest 5,000 papers, from 12 October 2026 to 6 November 2026: 4,992 arXiv preprints and 8 OpenAlex records.
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Newest papers, page 215
Really Need Recursion? Revisiting One-pass Registration with Multi-level Multi-space Contextual Guidance
Deformable image registration is a fundamental challenge in medical image analysis.Recoverability-Controlled Safety Miscalibration in Large Language Models
Safety-aligned language models are expected to refuse harmful requests while remaining useful for benign ones.PRIME: Towards Verifiable Evidence-Grounded Reasoning in LLM Agents
LLM agents are used to check records against an organization's requirements, for example whether a vulnerability report is ready for investigation.TRACE: Transformer Residual Activation Codebook Encoding for Communication-efficient Distributed Edge Inference
Distributed Transformer inference across co-located edge devices is fundamentally communication-bound, as exchanging activations between sequence-parallel partitions dominates inference latency…Sparse Autoencoders Can Induce Local Geometry for Mitigating Catastrophic Forgetting
Catastrophic forgetting remains a challenge in supervised continual learning, as adapting to new tasks causes representation drift and loss of previously learned information.From Natural Language Intent to Executable Control: Hierarchical Feedback-Guided LLM Planning for Multi-component Cyber-Physical Systems
Large language models (LLMs) provide a convenient interface for translating natural language commands into task plans for cyber-physical systems (CPSs).Null Controls Are Necessary but Not Sufficient: Evaluating Acceptance Guards for Scientific Discovery and Interpretability
Automated discovery systems propose scientific explanations and test which to accept.Learnable Splines for Unstructured Neural Operators
Neural operators approximate solution operators of partial differential equations at a fraction of the cost of numerical solvers.DriveWorld3D Evidence Constrained 3D World Modeling and Generative Simulation for Real-World Autonomous Driving
Three dimensional modeling for autonomous driving must continuously estimate road geometry, obstacle occupancy, traffic participant behavior, and observational uncertainty under limited…Functional Welfare for AI Safety
AI welfare is generally treated purely as an ethical issue rather than also as a safety issue.Political Narratives in the 2024 Moldovan Presidential Election: Stance, Amplification, and Influence
Social media platforms play a central role in shaping political discourse during elections, particularly in geopolitically contested regions.Author-in-the-loop Agentic Reproducibility Auditing for a Machine Learning Conference
Reproducibility checks during peer review require a shared understanding of what authors' code is expected to reproduce.Harness-Delta Attribution: Dissecting Gains From Harness Evolution
Harness evolution automatically optimizes the prompts, skills, tools, and orchestration code around a fixed-weight model, offering a way to improve agentic systems without updating model weights.Progressive Misalignment Can Emerge from Benign Recursive Self-Distillation
Training models on their own outputs has attracted widespread attention as a possible route to advance AI capabilities.Testing the Planning Claims of LLM-Based Agents against Formal Semantics
LLM-based agents are increasingly credited with the competences of practical reasoning: planning, monitoring, and correcting their own actions.Upper bounds on the number of causal pieces in spiking neural networks
The input space of single-spike neural networks decomposes into causal pieces, and the number of causal pieces has been shown to provide a lower bound on the approximation error for some spiking…AuditKIT: A Unified Evaluation Spine for Benchmarking, Judging, and Comparing Large Language Models and Agentic Systems
Evaluating language models and agents requires combining benchmark accuracy, judge-based assessment, runtime performance, tool-use behavior, and retrieval quality.Are Large Reasoning Models Good Everyday Reasoners? A Comparison with Non-Reasoning Models on Logical Reasoning Tasks
Large reasoning models (LRMs) that leverage test-time computation achieve strong performance on mathematical and scientific benchmarks and are increasingly deployed in real-world applications.FRACTAL: A Self-Similar Multi-Agent Orchestration Architecture with Formal Communication, Convergence, and Depth Bounds
We present FRACTAL, a self-similar multi-agent architecture for recursive goal decomposition, in which the same five-component organizational pattern -- Orchestrator, Ensemble, Knowledge Ledger…Repairing LLM-Generated Specifications with Deterministic Diagnosis
Large language models (LLMs) are increasingly used as formalizers: given a reasoning problem expressed in natural language, they produce a formal specification that a symbolic solver can then solve…