DailyArxiv - AI Research Podcast

Today's papers: - Analysis of Optimality of Large Language Models on Planning Problems: https://arxiv.org/abs/2604.02910v1 - Efficient3D: A Unified Framework for Adaptive and Debiased Token Reduction in 3D MLLMs: https://arxiv.org/abs/2604.02689v1 - How and why does deep ensemble coupled with transfer learning increase performance in bipolar disorder and schizophrenia classification?: https://arxiv.org/abs/2604.02002v1 - The AnIML Ontology: Enabling Semantic Interoperability for Large-Scale Experimental Data in Interconnected Scientific Labs: https://arxiv.org/abs/2604.01728v1 - GenGait: A Transformer-Based Model for Human Gait Anomaly Detection and Normative Twin Generation: https://arxiv.org/abs/2604.01997v1 This podcast is from Colin Davis (colin-davis.com) using Claude & Elevenlabs.

https://www.nature.com/articles/s41562-025-02324-0 **Episode Description** Ever wonder how your brain learns from rewards? For decades, scientists have used simple reinforcement learning models to explain this—basically, your brain keeps a running score and updates it with each new experience. But a fascinating new study suggests that picture is way too simple. Researchers built hybrid models combining neural networks with traditional cognitive frameworks to study how humans actually learn from rewards. Using a large dataset of human behavior, they discovered something striking: our brains don't just keep simple tallies. Instead, we maintain rich, flexible memory systems that track detailed representations of past experiences and use them independently to guide future decisions. This matters because it challenges an entire class of popular models that scientists and AI researchers have relied on for years. The findings suggest human learning is fundamentally more sophisticated than standard algorithms assume, potentially reshaping how we build AI systems inspired by human cognition. This podcast is from Colin Davis (colin-davis.com) using Claude & Elevenlabs.

Today's papers: - Transformer self-attention encoder-decoder with multimodal deep learning for response time series forecasting and digital twin support in wind structural health monitoring: https://arxiv.org/abs/2604.01712v1 - DriveDreamer-Policy: A Geometry-Grounded World-Action Model for Unified Generation and Planning: https://arxiv.org/abs/2604.01765v1 - SHOE: Semantic HOI Open-Vocabulary Evaluation Metric: https://arxiv.org/abs/2604.01586v1 - Answering the Wrong Question: Reasoning Trace Inversion for Abstention in LLMs: https://arxiv.org/abs/2604.02230v1 - Steerable Visual Representations: https://arxiv.org/abs/2604.02327v1 This podcast is from Colin Davis (colin-davis.com) using Claude & Elevenlabs.

Today's papers: - Not All Tokens See Equally: Perception-Grounded Policy Optimization for Large Vision-Language Models: https://arxiv.org/abs/2604.01840v1 - ActionParty: Multi-Subject Action Binding in Generative Video Games: https://arxiv.org/abs/2604.02330v1 - ImplicitBBQ: Benchmarking Implicit Bias in Large Language Models through Characteristic Based Cues: https://arxiv.org/abs/2604.01925v1 - Omni123: Exploring 3D Native Foundation Models with Limited 3D Data by Unifying Text to 2D and 3D Generation: https://arxiv.org/abs/2604.02289v1 - Multi-Agent Video Recommenders: Evolution, Patterns, and Open Challenges: https://arxiv.org/abs/2604.02211v1 This podcast is from Colin Davis (colin-davis.com) using Claude & Elevenlabs.

Today's papers: - Online Reasoning Calibration: Test-Time Training Enables Generalizable Conformal LLM Reasoning: https://arxiv.org/abs/2604.01170v1 - LiveMathematicianBench: A Live Benchmark for Mathematician-Level Reasoning with Proof Sketches: https://arxiv.org/abs/2604.01754v1 - Lifting Unlabeled Internet-level Data for 3D Scene Understanding: https://arxiv.org/abs/2604.01907v1 - Look Twice: Training-Free Evidence Highlighting in Multimodal Large Language Models: https://arxiv.org/abs/2604.01280v1 - Efficient Constraint Generation for Stochastic Shortest Path Problems: https://arxiv.org/abs/2604.01855v1 This podcast is from Colin Davis (colin-davis.com) using Claude & Elevenlabs.

Today's papers: - A Reasoning-Enabled Vision-Language Foundation Model for Chest X-ray Interpretation: https://arxiv.org/abs/2604.00493v1 - Brainstacks: Cross-Domain Cognitive Capabilities via Frozen MoE-LoRA Stacks for Continual LLM Learning: https://arxiv.org/abs/2604.01152v1 - Towards Reliable Truth-Aligned Uncertainty Estimation in Large Language Models: https://arxiv.org/abs/2604.00445v1 - Beyond Symbolic Solving: Multi Chain-of-Thought Voting for Geometric Reasoning in Large Language Models: https://arxiv.org/abs/2604.00890v1 - MAESIL: Masked Autoencoder for Enhanced Self-supervised Medical Image Learning: https://arxiv.org/abs/2604.00514v1 This podcast is from Colin Davis (colin-davis.com) using Claude & Elevenlabs.

Today's papers: - Towards Effective Experiential Learning: Dual Guidance for Utilization and Internalization: https://arxiv.org/abs/2603.24093v1 - SM-Net: Learning a Continuous Spectral Manifold from Multiple Stellar Libraries: https://arxiv.org/abs/2603.23899v2 - A Deep Dive into Scaling RL for Code Generation with Synthetic Data and Curricula: https://arxiv.org/abs/2603.24202v1 - When Understanding Becomes a Risk: Authenticity and Safety Risks in the Emerging Image Generation Paradigm: https://arxiv.org/abs/2603.24079v1 - CUA-Suite: Massive Human-annotated Video Demonstrations for Computer-Use Agents: https://arxiv.org/abs/2603.24440v1 This podcast is from Colin Davis (colin-davis.com) using Claude & Elevenlabs.

Today's papers: - SpatialReward: Verifiable Spatial Reward Modeling for Fine-Grained Spatial Consistency in Text-to-Image Generation: https://arxiv.org/abs/2603.22228v1 - Mind over Space: Can Multimodal Large Language Models Mentally Navigate?: https://arxiv.org/abs/2603.21577v1 - Tiny Inference-Time Scaling with Latent Verifiers: https://arxiv.org/abs/2603.22492v2 - Cerebra: A Multidisciplinary AI Board for Multimodal Dementia Characterization and Risk Assessment: https://arxiv.org/abs/2603.21597v2 - Ego2Web: A Web Agent Benchmark Grounded in Egocentric Videos: https://arxiv.org/abs/2603.22529v1 This podcast is from Colin Davis (colin-davis.com) using Claude & Elevenlabs.

Today's papers: - The Library Theorem: How External Organization Governs Agentic Reasoning Capacity: https://arxiv.org/abs/2603.21272v1 - AgentHER: Hindsight Experience Replay for LLM Agent Trajectory Relabeling: https://arxiv.org/abs/2603.21357v1 - RoboAlign: Learning Test-Time Reasoning for Language-Action Alignment in Vision-Language-Action Models: https://arxiv.org/abs/2603.21341v1 - QMoP: Query Guided Mixture-of-Projector for Efficient Visual Token Compression: https://arxiv.org/abs/2603.21232v1 - Fusing Memory and Attention: A study on LSTM, Transformer and Hybrid Architectures for Symbolic Music Generation: https://arxiv.org/abs/2603.21282v1 This podcast is from Colin Davis (colin-davis.com) using Claude & Elevenlabs.

Today's papers: - SortedRL: Accelerating RL Training for LLMs through Online Length-Aware Scheduling: https://arxiv.org/abs/2603.23414v1 - Contrastive Metric Learning for Point Cloud Segmentation in Highly Granular Detectors: https://arxiv.org/abs/2603.23356v1 - VTAM: Video-Tactile-Action Models for Complex Physical Interaction Beyond VLAs: https://arxiv.org/abs/2603.23481v1 - LLMLOOP: Improving LLM-Generated Code and Tests through Automated Iterative Feedback Loops: https://arxiv.org/abs/2603.23613v1 - Graph Energy Matching: Transport-Aligned Energy-Based Modeling for Graph Generation: https://arxiv.org/abs/2603.23398v1 This podcast is from Colin Davis (colin-davis.com) using Claude & Elevenlabs.

Today's papers: - The data heat island effect: quantifying the impact of AI data centers in a warming world: https://arxiv.org/abs/2603.20897v1 - gUFO: A Gentle Foundational Ontology for Semantic Web Knowledge Graphs: https://arxiv.org/abs/2603.20948v1 - Seed1.8 Model Card: Towards Generalized Real-World Agency: https://arxiv.org/abs/2603.20633v1 - Characterizing the onset and offset of motor imagery during passive arm movements induced by an upper-body exoskeleton: https://arxiv.org/abs/2603.20885v1 - From Causal Discovery to Dynamic Causal Inference in Neural Time Series: https://arxiv.org/abs/2603.20980v1 This podcast is from Colin Davis (colin-davis.com) using Claude & Elevenlabs.

Today's papers: - Agentic Business Process Management: A Research Manifesto: https://arxiv.org/abs/2603.18916v2 - Nemotron-Cascade 2: Post-Training LLMs with Cascade RL and Multi-Domain On-Policy Distillation: https://arxiv.org/abs/2603.19220v2 - Reasoning over mathematical objects: on-policy reward modeling and test time aggregation: https://arxiv.org/abs/2603.18886v1 - Measuring and Exploiting Confirmation Bias in LLM-Assisted Security Code Review: https://arxiv.org/abs/2603.18740v1 - ICE: Intervention-Consistent Explanation Evaluation with Statistical Grounding for LLMs: https://arxiv.org/abs/2603.18579v1 This podcast is from Colin Davis (colin-davis.com) using Claude & Elevenlabs.

Today's papers: - Interpretable Cross-Domain Few-Shot Learning with Rectified Target-Domain Local Alignment: https://arxiv.org/abs/2603.17655v2 - Procedural Generation of Algorithm Discovery Tasks in Machine Learning: https://arxiv.org/abs/2603.17863v1 - IndicSafe: A Benchmark for Evaluating Multilingual LLM Safety in South Asia: https://arxiv.org/abs/2603.17915v1 - How do LLMs Compute Verbal Confidence: https://arxiv.org/abs/2603.17839v1 - How LLMs Distort Our Written Language: https://arxiv.org/abs/2603.18161v1 This podcast is from Colin Davis (colin-davis.com) using Claude & Elevenlabs.

Today's papers: - Fanar 2.0: Arabic Generative AI Stack: https://arxiv.org/abs/2603.16397v1 - IQuest-Coder-V1 Technical Report: https://arxiv.org/abs/2603.16733v1 - Surg$Σ$: A Spectrum of Large-Scale Multimodal Data and Foundation Models for Surgical Intelligence: https://arxiv.org/abs/2603.16822v1 - Characterizing Delusional Spirals through Human-LLM Chat Logs: https://arxiv.org/abs/2603.16567v1 - Demystifing Video Reasoning: https://arxiv.org/abs/2603.16870v1 This podcast is from Colin Davis (colin-davis.com) using Claude & Elevenlabs.

Today's papers: - How Vulnerable Are AI Agents to Indirect Prompt Injections? Insights from a Large-Scale Public Competition: https://arxiv.org/abs/2603.15714v1 - The PokeAgent Challenge: Competitive and Long-Context Learning at Scale: https://arxiv.org/abs/2603.15563v2 - A Family of LLMs Liberated from Static Vocabularies: https://arxiv.org/abs/2603.15953v1 - RoCo Challenge at AAAI 2026: Benchmarking Robotic Collaborative Manipulation for Assembly Towards Industrial Automation: https://arxiv.org/abs/2603.15469v1 - MiroThinker-1.7 & H1: Towards Heavy-Duty Research Agents via Verification: https://arxiv.org/abs/2603.15726v1 This podcast is from Colin Davis (colin-davis.com) using Claude & Elevenlabs.

Today's papers: - MBD: A Model-Based Debiasing Framework Across User, Content, and Model Dimensions: https://arxiv.org/abs/2603.14422v1 - A comprehensive multimodal dataset and benchmark for ulcerative colitis scoring in endoscopy: https://arxiv.org/abs/2603.14559v1 - Data Darwinism Part II: DataEvolve -- AI can Autonomously Evolve Pretraining Data Curation: https://arxiv.org/abs/2603.14420v1 - Agentic DAG-Orchestrated Planner Framework for Multi-Modal, Multi-Hop Question Answering in Hybrid Data Lakes: https://arxiv.org/abs/2603.14229v1 - Autonomous Agents Coordinating Distributed Discovery Through Emergent Artifact Exchange: https://arxiv.org/abs/2603.14312v1 This podcast is from Colin Davis (colin-davis.com) using Claude & Elevenlabs.

Today's papers: - Facial beauty prediction fusing transfer learning and broad learning system: https://arxiv.org/abs/2603.16930v1 - Human-like Object Grouping in Self-supervised Vision Transformers: https://arxiv.org/abs/2603.13994v1 - TheraAgent: Multi-Agent Framework with Self-Evolving Memory and Evidence-Calibrated Reasoning for PET Theranostics: https://arxiv.org/abs/2603.13676v1 - Intelligent Materials Modelling: Large Language Models Versus Partial Least Squares Regression for Predicting Polysulfone Membrane Mechanical Performance: https://arxiv.org/abs/2603.13834v1 - A Benchmark for Multi-Party Negotiation Games from Real Negotiation Data: https://arxiv.org/abs/2603.14066v1 This podcast is from Colin Davis (colin-davis.com) using Claude & Elevenlabs.

Today's papers: - IGASA: Integrated Geometry-Aware and Skip-Attention Modules for Enhanced Point Cloud Registration: https://arxiv.org/abs/2603.12719v1 - Finite Difference Flow Optimization for RL Post-Training of Text-to-Image Models: https://arxiv.org/abs/2603.12893v1 - AI Model Modulation with Logits Redistribution: https://arxiv.org/abs/2603.12755v1 - A Causal Framework for Mitigating Data Shifts in Healthcare: https://arxiv.org/abs/2603.13595v1 - Self-Flow-Matching assisted Full Waveform Inversion: https://arxiv.org/abs/2603.13425v1 This podcast is from Colin Davis (colin-davis.com) using Claude & Elevenlabs.

Today's papers: - Resource-Efficient Iterative LLM-Based NAS with Feedback Memory: https://arxiv.org/abs/2603.12091v1 - A Dynamic Survey of Fuzzy, Intuitionistic Fuzzy, Neutrosophic, Plithogenic, and Extensional Sets: https://arxiv.org/abs/2603.15667v1 - RDNet: Region Proportion-Aware Dynamic Adaptive Salient Object Detection Network in Optical Remote Sensing Images: https://arxiv.org/abs/2603.12215v1 - Entropy-Preserving Reinforcement Learning: https://arxiv.org/abs/2603.11682v1 - OMNIA: Closing the Loop by Leveraging LLMs for Knowledge Graph Completion: https://arxiv.org/abs/2603.11820v1 This podcast is from Colin Davis (colin-davis.com) using Claude & Elevenlabs.

Today's papers: - Deep Randomized Distributed Function Computation (DeepRDFC): Neural Distributed Channel Simulation: https://arxiv.org/abs/2603.10750v1 - AI Psychometrics: Evaluating the Psychological Reasoning of Large Language Models with Psychometric Validities: https://arxiv.org/abs/2603.11279v1 - IH-Challenge: A Training Dataset to Improve Instruction Hierarchy on Frontier LLMs: https://arxiv.org/abs/2603.10521v1 - Markovian Generation Chains in Large Language Models: https://arxiv.org/abs/2603.11228v1 - The Unlearning Mirage: A Dynamic Framework for Evaluating LLM Unlearning: https://arxiv.org/abs/2603.11266v1 This podcast is from Colin Davis (colin-davis.com) using Claude & Elevenlabs.