VERITAS

Knicks: Winning bid for celebrity row seats $1M

In the NBA Finals, celebrity row property is worth $1 million. The New York Knicks announced that that was the winning bid in an auction for two seats for Game 3 on Monday night, the first NBA Finals game at Madison Square Garden since 1999. The winning bid was split by the law firm Gibson, Dunn and Crutcher LLP and private equity firm Veritas Capital.

DC's baseball team faces potential DOJ probe after exec allegedly admitted to religious discrimination

IDDMBSE: Integrating Data-Driven and Model-Based Systems Engineering for Trusted Autonomous Cyber-Physical Systems

arXiv:2606.06727v1 Announce Type: new Abstract: Autonomous cyber-physical systems (CPS) sit at the intersection of Model-Based Systems Engineering (MBSE) and data-driven Machine Learning and Artificial Intelligence (ML/AI), yet no integrated Systems Engineering (SE) methodology natively spans both. We address this gap with IDDMBSE, an Integrated Data-Driven and Model-Based Systems Engineering methodology that extends the rigorous MBSE V-process with a data-driven loop at every step, anchored...

DC's baseball team faces potential DOJ probe after exec allegedly admitted to religious discrimination

Nationals fire community relations director over allegedly admitting to religious discrimination: report

Trump-Knicks live updates: Fans fume over canceled watch parties as courtside tickets sell for $1M

Trump-Knicks live updates: Fans fume over canceled watch parties as courtside tickets sell for $1M Karl-Anthony Towns and Jalen Brunson will lead the Knicks as they face off against the San Antonio Spurs in Game 3 of the NBA Finals - Bookmark - CommentsGo to comments President Donald Trump and New York City Mayor Zohran Mamdani are set to attend Game 3 of the NBA Finals at New York City’s Madison Square Garden this evening. Two major New York City firms split a $1 million bid for courtside...

Beyond Correctness: Rewarding Faithful Reasoning in Retrieval-Augmented Generation

Announce Type: replace Abstract: Inspired by the success of reinforcement learning (RL) in Large Language Model (LLM) training for domains like math and code, recent work has begun training LLMs to dynamically plan, query, and reason with search engines as tools -- a paradigm increasingly referred to as agentic search. Although these methods achieve performance improvement across popular short-form QA benchmarks, many prioritize final answer correctness while overlooking the quality of...