Kronecker-Structured Nonparametric Spatiotemporal Point Processes
arXiv:2603.23746v1 Announce Type: new Abstract: Events in spatiotemporal domains arise in numerous real-world applications, where uncovering event relationships and enabling accurate prediction are central challenges. Classical Poisson and Hawkes processes rely on restrictive parametric assumptions that limit their ability to...
Probabilistic Geometric Alignment via Bayesian Latent Transport for Domain-Adaptive Foundation Models
arXiv:2603.23783v1 Announce Type: new Abstract: Adapting large-scale foundation models to new domains with limited supervision remains a fundamental challenge due to latent distribution mismatch, unstable optimization dynamics, and miscalibrated uncertainty propagation. This paper introduces an uncertainty-aware probabilistic latent transport framework...
Circuit Complexity of Hierarchical Knowledge Tracing and Implications for Log-Precision Transformers
arXiv:2603.23823v1 Announce Type: new Abstract: Knowledge tracing models mastery over interconnected concepts, often organized by prerequisites. We analyze hierarchical prerequisite propagation through a circuit-complexity lens to clarify what is provable about transformer-style computation on deep concept hierarchies. Using recent results...
Why the Maximum Second Derivative of Activations Matters for Adversarial Robustness
arXiv:2603.23860v1 Announce Type: new Abstract: This work investigates the critical role of activation function curvature -- quantified by the maximum second derivative $\max|\sigma''|$ -- in adversarial robustness. Using the Recursive Curvature-Tunable Activation Family (RCT-AF), which enables precise control over curvature...
Birthright citizenship: more on Pete Patterson’s claims
Attorney Pete Patterson’s latest post on birthright citizenship repeats the biggest mistakes of his original post and also makes some new mistakes, chasing irrelevances and mangling the key legal issues. […]The postBirthright citizenship: more on Pete Patterson’s claimsappeared first onSCOTUSblog.
Justices dubious about “harsh” rules for omissions by bankrupt debtors
Yesterday’s argument in Keathley v. Buddy Ayers Construction displayed a bench almost uniformly skeptical of a lower court’s absolute standard for responding to the failure of a debtor in bankruptcy […]The postJustices dubious about “harsh” rules for omissions by bankrupt...
Bernie Sanders and AOC propose a ban on data center construction
Senator Bernie Sanders and Rep. Alexandria Ocasio-Cortez introduced companion legislation to halt construction on new data centers until Congress passes comprehensive AI regulation.
Graph-Aware Late Chunking for Retrieval-Augmented Generation in Biomedical Literature
arXiv:2603.22633v1 Announce Type: new Abstract: Retrieval-Augmented Generation (RAG) systems for biomedical literature are typically evaluated using ranking metrics like Mean Reciprocal Rank (MRR), which measure how well the system identifies the single most relevant chunk. We argue that for full-text...
STEM Agent: A Self-Adapting, Tool-Enabled, Extensible Architecture for Multi-Protocol AI Agent Systems
arXiv:2603.22359v1 Announce Type: new Abstract: Current AI agent frameworks commit early to a single interaction protocol, a fixed tool integration strategy, and static user models, limiting their deployment across diverse interaction paradigms. To address these constraints, we introduce STEM Agent...
ABSTRAL: Automatic Design of Multi-Agent Systems Through Iterative Refinement and Topology Optimization
arXiv:2603.22791v1 Announce Type: new Abstract: How should multi-agent systems be designed, and can that design knowledge be captured in a form that is inspectable, revisable, and transferable? We introduce ABSTRAL, a framework that treats MAS architecture as an evolving natural-language...
Describe-Then-Act: Proactive Agent Steering via Distilled Language-Action World Models
arXiv:2603.23149v1 Announce Type: new Abstract: Deploying safety-critical agents requires anticipating the consequences of actions before they are executed. While world models offer a paradigm for this proactive foresight, current approaches relying on visual simulation incur prohibitive latencies, often exceeding several...
Reddit After Roe: A Computational Analysis of Abortion Narratives and Barriers in the Wake of Dobbs
arXiv:2603.22566v1 Announce Type: new Abstract: The 2022 U.S. Supreme Court decision in Dobbs v. Jackson Women's Health Organization reshaped the reproductive rights landscape, introducing new uncertainty and barriers to abortion access. We present a large-scale computational analysis of abortion discourse...
AI Mental Models: Learned Intuition and Deliberation in a Bounded Neural Architecture
arXiv:2603.22561v1 Announce Type: new Abstract: This paper asks whether a bounded neural architecture can exhibit a meaningful division of labor between intuition and deliberation on a classic 64-item syllogistic reasoning benchmark. More broadly, the benchmark is relevant to ongoing debates...
Session Risk Memory (SRM): Temporal Authorization for Deterministic Pre-Execution Safety Gates
arXiv:2603.22350v1 Announce Type: new Abstract: Deterministic pre-execution safety gates evaluate whether individual agent actions are compatible with their assigned roles. While effective at per-action authorization, these systems are structurally blind to distributed attacks that decompose harmful intent across multiple individually-compliant...
Intelligence Inertia: Physical Principles and Applications
arXiv:2603.22347v1 Announce Type: new Abstract: While Landauer's principle establishes the fundamental thermodynamic floor for information erasure and Fisher Information provides a metric for local curvature in parameter space, these classical frameworks function effectively only as approximations within regimes of sparse...
SAiW: Source-Attributable Invisible Watermarking for Proactive Deepfake Defense
arXiv:2603.23178v1 Announce Type: new Abstract: Deepfakes generated by modern generative models pose a serious threat to information integrity, digital identity, and public trust. Existing detection methods are largely reactive, attempting to identify manipulations after they occur and often failing to...
DariMis: Harm-Aware Modeling for Dari Misinformation Detection on YouTube
arXiv:2603.22977v1 Announce Type: new Abstract: Dari, the primary language of Afghanistan, is spoken by tens of millions of people yet remains largely absent from the misinformation detection literature. We address this gap with DariMis, the first manually annotated dataset of...
Beyond Hate: Differentiating Uncivil and Intolerant Speech in Multimodal Content Moderation
arXiv:2603.22985v1 Announce Type: new Abstract: Current multimodal toxicity benchmarks typically use a single binary hatefulness label. This coarse approach conflates two fundamentally different characteristics of expression: tone and content. Drawing on communication science theory, we introduce a fine-grained annotation scheme...
Emergency Preemption Without Online Exploration: A Decision Transformer Approach
arXiv:2603.22315v1 Announce Type: new Abstract: Emergency vehicle (EV) response time is a critical determinant of survival outcomes, yet deployed signal preemption strategies remain reactive and uncontrollable. We propose a return-conditioned framework for emergency corridor optimization based on the Decision Transformer...
MCLR: Improving Conditional Modeling in Visual Generative Models via Inter-Class Likelihood-Ratio Maximization and Establishing the Equivalence between Classifier-Free Guidance and Alignment Objectives
arXiv:2603.22364v1 Announce Type: new Abstract: Diffusion models have achieved state-of-the-art performance in generative modeling, but their success often relies heavily on classifier-free guidance (CFG), an inference-time heuristic that modifies the sampling trajectory. From a theoretical perspective, diffusion models trained with...
Justice Scalia’s uncertain legacy
Controlling Opinions is a recurring series by Richard Re that explores the interaction of law, ideology, and discretion at the Supreme Court. On the surface, Justice Antonin Scalia’s legacy has […]The postJustice Scalia’s uncertain legacyappeared first onSCOTUSblog.
Temporary Protected Status and the Supreme Court: an explainer
The Supreme Court announced last week that it will hear argument in late April on the Trump administration’s effort to remove protected immigration status from Syrian and Haitian nationals. Its […]The postTemporary Protected Status and the Supreme Court: an explainerappeared...
All of DOGE’s work could be undone as lawsuit against Musk proceeds
Musk’s X posts bragging about DOGE may trigger reversals of its biggest wins.
Databricks bought two startups to underpin its new AI security product
With an overflowing war chest from its recent $5 billion raise, Databricks is buying startups and looking for more. It acquired Antimatter and SiftD.ai.
Levers of Default: Can the President Unilaterally Alter the Terms of the National Debt?
The inviolability of America’s $30 trillion debt is a cornerstone of global markets and the U.S. economy. This Essay identifies a critical loophole: the President’s underappreciated power to dramatically change its legal structure—and argues that Congress should act to prevent...
RedacBench: Can AI Erase Your Secrets?
arXiv:2603.20208v1 Announce Type: new Abstract: Modern language models can readily extract sensitive information from unstructured text, making redaction -- the selective removal of such information -- critical for data security. However, existing benchmarks for redaction typically focus on predefined categories...
GMPilot: An Expert AI Agent For FDA cGMP Compliance
arXiv:2603.20815v1 Announce Type: new Abstract: The pharmaceutical industry is facing challenges with quality management such as high costs of compliance, slow responses and disjointed knowledge. This paper presents GMPilot, a domain-specific AI agent that is designed to support FDA cGMP...
An experimental study of KV cache reuse strategies in chunk-level caching systems
arXiv:2603.20218v1 Announce Type: new Abstract: Retrieval-augmented generation improves large language models' accuracy by adding relevant retrieved text to the prompt. Chunk level caching (CLC) accelerates inference by precomputing KV caches for these retrieved chunks and reusing them. However, these caches...