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◬ AI & Machine Learning Mar 24, 2026
Towards Intelligent Geospatial Data Discovery: a knowledge graph-driven multi-agent framework powered by large language models

arXiv:2603.20670v1 Announce Type: new Abstract: The rapid growth in the volume, variety, and velocity of geospatial data has created data ecosystems that are highly distributed, heterogeneous, and sem…

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◬ AI & Machine Learning Mar 24, 2026
Attention in Space: Functional Roles of VLM Heads for Spatial Reasoning

arXiv:2603.20662v1 Announce Type: new Abstract: Despite remarkable advances in large Vision-Language Models (VLMs), spatial reasoning remains a persistent challenge. In this work, we investigate how a…

arXiv AI Read →
◬ AI & Machine Learning Mar 24, 2026
From 50% to Mastery in 3 Days: A Low-Resource SOP for Localizing Graduate-Level AI Tutors via Shadow-RAG

arXiv:2603.20650v1 Announce Type: new Abstract: Deploying high-fidelity AI tutors in schools is often blocked by the Resource Curse -- the need for expensive cloud GPUs and massive data engineering. I…

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◬ AI & Machine Learning Mar 24, 2026
Agentic AI and the next intelligence explosion

arXiv:2603.20639v1 Announce Type: new Abstract: The "AI singularity" is often miscast as a monolithic, godlike mind. Evolution suggests a different path: intelligence is fundamentally plural, social, …

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◬ AI & Machine Learning Mar 24, 2026
Seed1.8 Model Card: Towards Generalized Real-World Agency

arXiv:2603.20633v1 Announce Type: new Abstract: We present Seed1.8, a foundation model aimed at generalized real-world agency: going beyond single-turn prediction to multi-turn interaction, tool use, …

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◬ AI & Machine Learning Mar 24, 2026
Reasoning Traces Shape Outputs but Models Won't Say So

arXiv:2603.20620v1 Announce Type: new Abstract: Can we trust the reasoning traces that large reasoning models (LRMs) produce? We investigate whether these traces faithfully reflect what drives model o…

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◬ AI & Machine Learning Mar 24, 2026
Where can AI be used? Insights from a deep ontology of work activities

arXiv:2603.20619v1 Announce Type: new Abstract: Artificial intelligence (AI) is poised to profoundly reshape how work is executed and organized, but we do not yet have deep frameworks for understandin…

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◬ AI & Machine Learning Mar 24, 2026
Position: Multi-Agent Algorithmic Care Systems Demand Contestability for Trustworthy AI

arXiv:2603.20595v1 Announce Type: new Abstract: Multi-agent systems (MAS) are increasingly used in healthcare to support complex decision-making through collaboration among specialized agents. Because…

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◬ AI & Machine Learning Mar 24, 2026
Context Cartography: Toward Structured Governance of Contextual Space in Large Language Model Systems

arXiv:2603.20578v1 Announce Type: new Abstract: The prevailing approach to improving large language model (LLM) reasoning has centered on expanding context windows, implicitly assuming that more token…

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◬ AI & Machine Learning Mar 24, 2026
LLM-Driven Heuristic Synthesis for Industrial Process Control: Lessons from Hot Steel Rolling

arXiv:2603.20537v1 Announce Type: new Abstract: Industrial process control demands policies that are interpretable and auditable, requirements that black-box neural policies struggle to meet. We study…

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◬ AI & Machine Learning Mar 24, 2026
Grounded Chess Reasoning in Language Models via Master Distillation

arXiv:2603.20510v1 Announce Type: new Abstract: Language models often lack grounded reasoning capabilities in specialized domains where training data is scarce but bespoke systems excel. We introduce …

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◬ AI & Machine Learning Mar 24, 2026
Efficient Counterfactual Reasoning in ProbLog via Single World Intervention Programs

arXiv:2603.20505v1 Announce Type: new Abstract: Probabilistic Logic Programming (PLP) languages, like ProbLog, naturally support reasoning under uncertainty, while maintaining a declarative and interp…

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◬ AI & Machine Learning Mar 24, 2026
DiffGraph: An Automated Agent-driven Model Merging Framework for In-the-Wild Text-to-Image Generation

arXiv:2603.20470v1 Announce Type: new Abstract: The rapid growth of the text-to-image (T2I) community has fostered a thriving online ecosystem of expert models, which are variants of pretrained diffus…

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◬ AI & Machine Learning Mar 24, 2026
Deep reflective reasoning in interdependence constrained structured data extraction from clinical notes for digital health

arXiv:2603.20435v1 Announce Type: new Abstract: Extracting structured information from clinical notes requires navigating a dense web of interdependent variables where the value of one attribute logic…

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◬ AI & Machine Learning Mar 24, 2026
Leveraging Natural Language Processing and Machine Learning for Evidence-Based Food Security Policy Decision-Making in Data-Scarce Making

arXiv:2603.20425v1 Announce Type: new Abstract: Food security policy formulation in data-scarce regions remains a critical challenge due to limited structured datasets, fragmented textual reports, and…

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◬ AI & Machine Learning Mar 24, 2026
Compression is all you need: Modeling Mathematics

arXiv:2603.20396v1 Announce Type: new Abstract: Human mathematics (HM), the mathematics humans discover and value, is a vanishingly small subset of formal mathematics (FM), the totality of all valid d…

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◬ AI & Machine Learning Mar 24, 2026
LLM-Enhanced Energy Contrastive Learning for Out-of-Distribution Detection in Text-Attributed Graphs

arXiv:2603.20293v1 Announce Type: new Abstract: Text-attributed graphs, where nodes are enriched with textual attributes, have become a powerful tool for modeling real-world networks such as citation,…

arXiv AI Read →
◬ AI & Machine Learning Mar 24, 2026
AgentComm-Bench: Stress-Testing Cooperative Embodied AI Under Latency, Packet Loss, and Bandwidth Collapse

arXiv:2603.20285v1 Announce Type: new Abstract: Cooperative multi-agent methods for embodied AI are almost universally evaluated under idealized communication: zero latency, no packet loss, and unlimi…

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◬ AI & Machine Learning Mar 24, 2026
Me, Myself, and $\pi$ : Evaluating and Explaining LLM Introspection

arXiv:2603.20276v1 Announce Type: new Abstract: A hallmark of human intelligence is Introspection-the ability to assess and reason about one's own cognitive processes. Introspection has emerged as a p…

arXiv AI Read →
◬ AI & Machine Learning Mar 24, 2026
FactorSmith: Agentic Simulation Generation via Markov Decision Process Decomposition with Planner-Designer-Critic Refinement

arXiv:2603.20270v1 Announce Type: new Abstract: Generating executable simulations from natural language specifications remains a challenging problem due to the limited reasoning capacity of large lang…

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◬ AI & Machine Learning Mar 24, 2026
Domain-Specialized Tree of Thought through Plug-and-Play Predictors

arXiv:2603.20267v1 Announce Type: new Abstract: While Large Language Models (LLMs) have advanced complex reasoning, prominent methods like the Tree of Thoughts (ToT) framework face a critical trade-of…

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◬ AI & Machine Learning Mar 24, 2026
ProMAS: Proactive Error Forecasting for Multi-Agent Systems Using Markov Transition Dynamics

arXiv:2603.20260v1 Announce Type: new Abstract: The integration of Large Language Models into Multi-Agent Systems (MAS) has enabled the so-lution of complex, long-horizon tasks through collaborative r…

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◬ AI & Machine Learning Mar 24, 2026
AgenticGEO: A Self-Evolving Agentic System for Generative Engine Optimization

arXiv:2603.20213v1 Announce Type: new Abstract: Generative search engines represent a transition from traditional ranking-based retrieval to Large Language Model (LLM)-based synthesis, transforming op…

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◬ AI & Machine Learning Mar 24, 2026
TLS Certificate and Domain Feature Analysis of Phishing Domains in the Danish .dk Namespace

arXiv:2603.21652v1 Announce Type: new Abstract: Phishing attacks remain a persistent cybersecurity threat, and the widespread adoption of TLS certificates has unintentionally enabled malicious website…

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