THE AI TODAY https://validator.w3.org/feed/docs/rss2.html China’s AI research is booming. Where is it headed? Preserve research data for tomorrow’s AI-enabled integrity checks Is this idea from AI or humans? A detector claims it can tell NiCLIP: neuroimaging contrastive language-image pretraining model for predicting text from brain activation images An all-in-one foundation model for multimodal medical image restoration and enhancement In the AI era, coding means thinking like a systems architect Constitutional Gating and Deterministic Recovery for Multi-Agent LLM Negotiation: Ablations Against a Stateful Adversarial Gatekeeper Same Query, Different Answer: Run-to-Run Variance in Semantic Query Processing MC-EvoBench: Auditing Experience-Driven Self-Improvement in Minecraft Agents AI-Based On-Board Maritime Object Detection for Earth Observation Payload Data Reduction on Versal Embedded Hardware Faithfulness Without Anchors: A Position Paper on the Structural Misalignments of Explainable AI Faithfulness Metrics for Feature Importance Shared Geometry As A Rosetta Stone: Cross-Modal Alignment Without Paired Data HI3D 3.0 (Twinkle3D): Object-specific 3D Asset Generation with High Resolution Epistemic Disturbance in the Graph Model for Conflict Resolution: State-Preserving Actions, Four-Valued Assessments, and the Distinction between Capability and Intention Defensive Sufficiency in a Stackelberg Model of AI Security An Explainable Header-Centric Framework for Large-Scale Semantic Table Interpretation and Data Quality Assessment Will AI scoop your science? Some researchers see a gloomy future Anticipatory intelligence in clinical microbiology Tangermeme: a toolkit for understanding cis-regulatory logic using deep learning models Emotional optimization by newsroom AI needs behavioural evaluation Characterizing the role of reasoning tokens in large language models as state over tokens Trust the Critic More Madeleine: Learning Involuntary Recall for Conversational Memory from Simulated Lives Does Scaling Reinforcement Learning Really Require More Training? ComputerSD: Online Self-Distillation from Real-Time Feedback for Computer-Use Agents Heavy-Tailed Memory Traces in Long-Horizon Language Agents Visual Parallel Search: Learning to Search High-Resolution Images with Parallel Tile Inspection and Adaptive Zoom Ready2Blend: From Natural-Language Instructions to Composable Alignment Prompts Wavelet Flow Matching for Time Series Gender bias across LLMs is common and highly heterogeneous Improving OCR Faithfulness via Gated and Attenuated On-Policy Distillation Times are changing but order matters: transferable prediction of small-molecule liquid chromatography retention times Large language models discover complementary heuristics for combinatorial optimization ‘Vibe coding’ makes the dictionary: AI terms recognized by Merriam-Webster Shifting from knowledge retrieval to evidence exploration and synthesis Deep learning perturbation models can outperform baselines on calibrated metrics KUPAS MASTER: Distilling the Tacit Expertise of Master Practitioners into Agent-Ready Experience Corpora Tail-Weight Control and Localized Generalization in Nearly Low-Rank Adversarial Classification F4R: Failure-Driven Recognition, Reconstruction, Refinement, and Redeployment for Continual Robot Self-Improvement DSWM: Decomposed Spatio-Temporal World Model for Demand-Driven UAV Base Station Repositioning On-Policy Visual Evidence Distillation TokenCast: Forecasting Token Consumption During LLM Agent Execution OpenAI-HuggingFace: A Reproduction & Lessons for Alignment Testing Accounting for Bias Enables Sustainable LLM Evaluation The Linear Representation Hypothesis for Vision-Language-Action Models VLANeXt Family: A Systematic Study of VLA Models from Core Recipes to Emerging Paradigms Beyond Forecasting: Recasting Volatility Control as a Routing Problem RAPTOR: Ridge-Adaptive Logistic Probes FLIP: Final Layer Inference-Time Probing for Vision-Language Models ArGuard Shared Task: Harmful Content Detection in Arabic Memes and LLM Prompts