Power and Immunity in Youngstown and Trump v. United States
Introduction When the Supreme Court handed down its decision in Trump v. United States granting ex-presidents a broad new immunity from criminal prosecution, it ensured that President Donald Trump would likely never face criminal accountability for his efforts to remain...
Justices poised to adopt exceptions to federal criminal defendants’ appellate waivers
The Supreme Court heard oral argument on Tuesday in Hunter v. United States about what exceptions exist to federal defendants’ waivers of their right to appeal. The justices seemed poised […]The postJustices poised to adopt exceptions to federal criminal defendants’...
Birthright citizenship: the exceptions provide the rule
The battle over birthright citizenship is a battle over its exceptions. The 14th Amendment’s first sentence proudly proclaims that “[a]ll persons born . . . in the United States, and subject to the jurisdiction […]The postBirthright citizenship: the exceptions provide...
Syrian nationals urge Supreme Court to keep ruling in place allowing them to stay in the United States
A group of Syrian nationals urged the Supreme Court on Thursday to leave in place a ruling by a federal judge in New York City that allows them to remain […]The postSyrian nationals urge Supreme Court to keep ruling in...
Court grapples with whether federal law supersedes negligent hiring claims against freight brokers
Updated on March 6 at 10:50 a.m. The Supreme Court on Wednesday heard argument in Montgomery v. Caribe Transport II, LLC, a case on whether federal law prevents state law […]The postCourt grapples with whether federal law supersedes negligent hiring...
Musk fails to block California data disclosure law he fears will ruin xAI
Musk can't convince judge public doesn’t care about where AI training data comes from.
Musk testifies tweet that led to $44 billion lawsuit "may not have been my wisest"
Elon Musk takes the stand in a San Francisco courtroom.
Microsoft, Google, Amazon say Anthropic Claude remains available to non-defense customers
Trump's Department of War feud with Anthropic won't impact other companies that are using Claude via Microsoft and Google products.
Anthropic’s Claude found 22 vulnerabilities in Firefox over two weeks
In a recent security partnership with Mozilla, Anthropic found 22 separate vulnerabilities in Firefox — 14 of them classified as "high-severity."
Anthropic to challenge DOD’s supply-chain label in court
Anthropic CEO Dario Amodei said he plans to challenge the Department of Defense's designation of the AI firm as a supply-chain risk. He claims most Anthropic customers are unaffected by the label.
It’s official: The Pentagon has labeled Anthropic a supply-chain risk
The Department of Defense has officially labeled Anthropic a supply-chain risk, making the AI firm the first American company with the label. Meanwhile, the DOD continues to use Anthropic's AI in Iran.
Anthropic CEO Dario Amodei could still be trying to make a deal with Pentagon
Anthropic's $200 million contract with the Department of Defense broke down due to disagreements over giving the military unrestricted access to its AI.
Knowledge Graph and Hypergraph Transformers with Repository-Attention and Journey-Based Role Transport
arXiv:2603.03304v1 Announce Type: cross Abstract: We present a concise architecture for joint training on sentences and structured data while keeping knowledge and language representations separable. The model treats knowledge graphs and hypergraphs as structured instances with role slots and encodes...
TopicENA: Enabling Epistemic Network Analysis at Scale through Automated Topic-Based Coding
arXiv:2603.03307v1 Announce Type: cross Abstract: Epistemic Network Analysis (ENA) is a method for investigating the relational structure of concepts in text by representing co-occurring concepts as networks. Traditional ENA, however, relies heavily on manual expert coding, which limits its scalability...
M-QUEST -- Meme Question-Understanding Evaluation on Semantics and Toxicity
arXiv:2603.03315v1 Announce Type: cross Abstract: Internet memes are a powerful form of online communication, yet their nature and reliance on commonsense knowledge make toxicity detection challenging. Identifying key features for meme interpretation and understanding, is a crucial task. Previous work...
Benchmarking Legal RAG: The Promise and Limits of AI Statutory Surveys
arXiv:2603.03300v1 Announce Type: new Abstract: Retrieval-augmented generation (RAG) offers significant potential for legal AI, yet systematic benchmarks are sparse. Prior work introduced LaborBench to benchmark RAG models based on ostensible ground truth from an exhaustive, multi-month, manual enumeration of all...
PulseLM: A Foundation Dataset and Benchmark for PPG-Text Learning
arXiv:2603.03331v1 Announce Type: new Abstract: Photoplethysmography (PPG) is a widely used non-invasive sensing modality for continuous cardiovascular and physiological monitoring across clinical, laboratory, and wearable settings. While existing PPG datasets support a broad range of downstream tasks, they typically provide...
Logit-Level Uncertainty Quantification in Vision-Language Models for Histopathology Image Analysis
arXiv:2603.03527v1 Announce Type: new Abstract: Vision-Language Models (VLMs) with their multimodal capabilities have demonstrated remarkable success in almost all domains, including education, transportation, healthcare, energy, finance, law, and retail. Nevertheless, the utilization of VLMs in healthcare applications raises crucial concerns...
Directional Neural Collapse Explains Few-Shot Transfer in Self-Supervised Learning
arXiv:2603.03530v1 Announce Type: new Abstract: Frozen self-supervised representations often transfer well with only a few labels across many semantic tasks. We argue that a single geometric quantity, \emph{directional} CDNV (decision-axis variance), sits at the core of two favorable behaviors: strong...
Role-Aware Conditional Inference for Spatiotemporal Ecosystem Carbon Flux Prediction
arXiv:2603.03531v1 Announce Type: new Abstract: Accurate prediction of terrestrial ecosystem carbon fluxes (e.g., CO$_2$, GPP, and CH$_4$) is essential for understanding the global carbon cycle and managing its impacts. However, prediction remains challenging due to strong spatiotemporal heterogeneity: ecosystem flux...
Nodes Are Early, Edges Are Late: Probing Diagram Representations in Large Vision-Language Models
arXiv:2603.02865v1 Announce Type: new Abstract: Large vision-language models (LVLMs) demonstrate strong performance on diagram understanding benchmarks, yet they still struggle with understanding relationships between elements, particularly those represented by nodes and directed edges (e.g., arrows and lines). To investigate the...
Forecasting as Rendering: A 2D Gaussian Splatting Framework for Time Series Forecasting
arXiv:2603.02220v1 Announce Type: new Abstract: Time series forecasting (TSF) remains a challenging problem due to the intricate entanglement of intraperiod-fluctuations and interperiod-trends. While recent advances have attempted to reshape 1D sequences into 2D period-phase representations, they suffer from two principal...
PRISM: Exploring Heterogeneous Pretrained EEG Foundation Model Transfer to Clinical Differential Diagnosis
arXiv:2603.02268v1 Announce Type: new Abstract: EEG foundation models are typically pretrained on narrow-source clinical archives and evaluated on benchmarks from the same ecosystem, leaving unclear whether representations encode neural physiology or recording-distribution artifacts. We introduce PRISM (Population Representative Invariant Signal...
What Capable Agents Must Know: Selection Theorems for Robust Decision-Making under Uncertainty
arXiv:2603.02491v1 Announce Type: new Abstract: As artificial agents become increasingly capable, what internal structure is *necessary* for an agent to act competently under uncertainty? Classical results show that optimal control can be *implemented* using belief states or world models, but...
Thermodynamic Regulation of Finite-Time Gibbs Training in Energy-Based Models: A Restricted Boltzmann Machine Study
arXiv:2603.02525v1 Announce Type: new Abstract: Restricted Boltzmann Machines (RBMs) are typically trained using finite-length Gibbs chains under a fixed sampling temperature. This practice implicitly assumes that the stochastic regime remains valid as the energy landscape evolves during learning. We argue...
Birthright citizenship: an empirical analysis of supposedly originalist briefs
Brothers in Law is a recurring series by brothers Akhil and Vikram Amar, with special emphasis on measuring what the Supreme Court says against what the Constitution itself says. For more content from […]The postBirthright citizenship: an empirical analysis of...
Anthropic CEO Dario Amodei calls OpenAI’s messaging around military deal ‘straight up lies,’ report says
Anthropic gave up its contract with the Pentagon over AI safety disagreements -- then, OpenAI swooped in.
Google Search rolls out Gemini’s Canvas in AI Mode to all US users
Canvas in AI Mode is available to U.S. users in English for creating plans, projects, apps, and more.
Decagon completes first tender offer at $4.5B valuation
The AI-powered customer support startup is the latest example of a fast-growing, young company that's providing employee liquidity.
The US military is still using Claude — but defense-tech clients are fleeing
As the U.S. continues its aerial attack on Iran, Anthropic models are being used for many targeting decisions.