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Artificial Intelligence
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The newest 5,000 papers, from 11 October 2026 to 5 November 2026: 4,998 arXiv preprints and 2 OpenAlex records.
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Newest papers, page 152
Polyscene: Scenario Planning as Diversity Planning
Scenario planning is a foresight practice in which analysts construct a small set of plausible futures and prepare an organisation for each.A Semi-Analytical Inference Framework for Structural Causal Models
Structural Causal Models (SCMs) provide a principled framework for observational, interventional, and counterfactual reasoning, all of which rely on probabilistic inference.Robust Representation Learning for Spiking Neural Networks based on Conditional Information Bottleneck
Spiking Neural Networks (SNNs) have shown great potential for low-power neuromorphic computing due to their event-driven processing and spatiotemporal sparsity, but they remain vulnerable to input…Interruption-Aware Recurrent Reinforcement Learning for UAS Navigation Under Temporary Overrides
Safe autonomous navigation of UASs requires tactical deconfliction to address conflicts that strategic coordination cannot prevent.De-Diffusing WAMs: Action-Sufficient Direct Prediction for Robot Control
Cascade world-action models (WAMs) use predicted visual futures to condition robot actions, but inherit costly iterative inference from diffusion-pretrained experts.Causal Discovery for Linear Models with Latent Confounding via Multi-domain Identifiable Representation Learning
Causal discovery with latent confounding is particularly challenging, but a common setting in real-world data.From Code Generator to Engineering Companion: A Plant-aware Agent for PLC Programming
Programmable Logic Controller (PLC) coding remains a manual, IDE-centric task that demands constant context switching between documentation, project files, and code editors.Africa-Papers: A 10-Billion-Token Multi-Domain Academic Corpus for African Foundation Language Models
Large Language Models (LLMs) depend fundamentally on the diversity, depth, and factual rigor of their pre-training corpora.Temporal Evidence-Parameter Co-Alignment for LLM Reasoning over Temporal Knowledge Graphs
Large Language Models (LLMs) often struggle with temporally grounded reasoning because their static parametric memory is misaligned with the dynamic evolution of real-world knowledge.Perceives but Doesn't Brake: A Perception-Action Binding Gap in Reasoning Driving VLAs
Reasoning-augmented vision-language-action (VLA) driving models can perceive and reason about safety-critical hazards yet fail to translate that evidence into safe actions.Offline Makes Online Better: Calibrated Cache Compression for Video Generation
Token merging is an effective approach to reducing KV-cache memory consumption in autoregressive video generation by clustering temporally redundant tokens and retaining only a small set of…Adaptive Pullback: Reweighting Supervision at Penalty Jumps in On-Policy Distillation
On-policy distillation (OPD) supervises student-generated responses using sampled-token student-teacher log-ratios.Reframing Object-Centric Reinforcement Learning: From Absolute to Relative Representations
Object-centric reinforcement learning agents typically receive each object's position in a fixed global frame, even though their decisions usually depend on where objects are relative to one another.Parameter-Efficient Adaptation of Time Series Foundation Models for Electrical Load Forecasting
Accurate electrical load forecasting supports power-system operation across countries, regions, cities, and buildings, but repeated development of target-specific models is costly.MaD-RSI: Model-as-Data for Recursive Self-Improvement of Agent Harnesses
Recursive self-improvement (RSI) of agent harnesses has emerged as an effective approach to enhancing the capabilities of large language model (LLM) agents.JAXbounce: A Continuous-Control Pong-Like Benchmark for Active Inference Beyond Low Dimensional Environments
We introduce JAXbounce, a continuous control pong-like benchmark designed to evaluate active inference beyond discrete, low dimensional environments.Region-Guided Food-Package Evidence Extraction and Abstention-Aware Draft R3337 Screening with Selective VLM Review
Applying South Africa's draft R3337 warning criteria to food-package photographs requires nutrition, ingredient and product-form evidence.Local Inference of LLMs on Long Contexts: A Data Systems Perspective
Large language models can solve complex problems across a variety of subjects, such as mathematics and coding.TPO: Tri-level Distributionally Robust Learning for OOD Direct Preference Optimization
Direct Preference Optimization (DPO) minimizes empirical risk over observed preference comparisons, implicitly assuming that the training preference distribution matches the deployment preference…PI-MLLM: Psychophysics-Inspired Multimodal Large Language Model for Oddly Satisfying Video Emotion Analysis
Oddly Satisfying Videos (OSVs) can evoke strong viewer responses through repetitive motion, visual tactility, and ASMR-like sounds despite containing few explicit semantic emotion cues.