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U.S. Multifamily Market Snapshot — May 2025
Arbor - May 14, 2025
“Examining key benchmarks for the sector, the multifamily market’s consistent performance provides a solid foundation for continued expansion despite broader economic uncertainties, while well-positioned multifamily investors consider new opportunities.”
#ArborRealtyTrust

U.S. Multifamily Market Snapshot — May 2025
The U.S. multifamily market continued to settle into a normalized cycle, despite ongoing uncertainties surrounding the global economy and labor market. There is a rising tide of optimism for the sector ahead and investors are continuing to take advantage of market opportunities.

The Washington Post names Adam O'Neal, Washington correspondent for The Economist, as its new opinion editor (Chris Roush/Talking Biz News)
https://talkingbiznews.com/media-news/the-economists-oneal-to-become-washington-post…

The Economist's O'Neal to become Washington Post opinion editor - Talking Biz News
Adam O’Neal, Washington correspondent for The Economist, has been hired as opinion editor at The Washington Post. He has been at The Economist since September 2023. Before that, he was at The Dispatch as executive editor. Previously, O’Neal was an editorial page writer at The Wall Street Journal. Before that, he was an assistant op-ed […]

The global economy is projected to slow sharply this year
as Trump’s trade policy disrupts international commerce and increases economic uncertainty,
the World Bank said on Tuesday in a report that underscores the toll of America’s trade war.
Despite the weakening outlook, the global economy is not expected to fall into a recession, the World Bank said.
However, the trade tension is setting the stage for the weakest decade of growth since the 1960s.
Economic dev…

World Bank Forecast Underscores Cost of U.S. Trade War
Along with a sharply downgraded projection for global output this year, it urged a “course correction” on trade to help preserve living standards.

Beim Blue Economy Forum in #Monaco riefen Staats- und Regierungschefs zu globalem Handeln zum Schutz der #Ozeane auf.
Emmanuel #Macron kritisierte die Leugnung des Klimawandels und betonte die wissen…

Ozeankonferenz in Monaco: Macron tadelt Klimaleugner
Am letzten Tag des Blue Economy Forum in Monaco riefen die Staats- und Regierungschefs zu globalen Maßnahmen zum Schutz der Ozeane auf. #EuropeNews

Towards Bridging Formal Methods and Human Interpretability
Abhijit Paul, Proma Chowdhury, Kazi Sakib
https://arxiv.org/abs/2506.09759 https://

Towards Bridging Formal Methods and Human Interpretability
Labeled Transition Systems (LTS) are integral to model checking and design repair tools. System engineers frequently examine LTS designs during model checking or design repair to debug, identify inconsistencies, and validate system behavior. Despite LTS's significance, no prior research has examined human comprehension of these designs. To address this, we draw on traditional software engineering and graph theory, identifying 7 key metrics: cyclomatic complexity, state space size, average branc…

Momentum Multi-Marginal Schr\"odinger Bridge Matching
Panagiotis Theodoropoulos, Augustinos D. Saravanos, Evangelos A. Theodorou, Guan-Horng Liu
https://arxiv.org/abs/2506.10168

Momentum Multi-Marginal Schrödinger Bridge Matching
Understanding complex systems by inferring trajectories from sparse sample snapshots is a fundamental challenge in a wide range of domains, e.g., single-cell biology, meteorology, and economics. Despite advancements in Bridge and Flow matching frameworks, current methodologies rely on pairwise interpolation between adjacent snapshots. This hinders their ability to capture long-range temporal dependencies and potentially affects the coherence of the inferred trajectories. To address these issues…

The Economic Dispatch of Power-to-Gas Systems with Deep Reinforcement Learning:Tackling the Challenge of Delayed Rewards with Long-Term Energy Storage
Manuel Sage, Khalil Al Handawi, Yaoyao Fiona Zhao
https://arxiv.org/abs/2506.06484

The Economic Dispatch of Power-to-Gas Systems with Deep Reinforcement Learning:Tackling the Challenge of Delayed Rewards with Long-Term Energy Storage
Power-to-Gas (P2G) technologies gain recognition for enabling the integration of intermittent renewables, such as wind and solar, into electricity grids. However, determining the most cost-effective operation of these systems is complex due to the volatile nature of renewable energy, electricity prices, and loads. Additionally, P2G systems are less efficient in converting and storing energy compared to battery energy storage systems (BESs), and the benefits of converting electricity into gas ar…

The c-Entropy of non-dissipative L-systems
Sergey Belyi, Konstantin A. Makarov, Eduard Tsekanovskii
https://arxiv.org/abs/2506.05144 https://

The c-Entropy of non-dissipative L-systems
In this paper, we extend the definition of c-entropy to canonical L-systems with non-dissipative state-space operators. We also introduce the concepts of dissipation and accumulation coefficients for such systems. In addition, we examine the coupling of these L-systems and derive closed form expressions for the corresponding c-entropy.

This https://arxiv.org/abs/2504.17934 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csHC_…

Toward a Human-Centered Evaluation Framework for Trustworthy LLM-Powered GUI Agents
The rise of Large Language Models (LLMs) has revolutionized Graphical User Interface (GUI) automation through LLM-powered GUI agents, yet their ability to process sensitive data with limited human oversight raises significant privacy and security risks. This position paper identifies three key risks of GUI agents and examines how they differ from traditional GUI automation and general autonomous agents. Despite these risks, existing evaluations focus primarily on performance, leaving privacy an…

Deception in Oligopoly Games via Adaptive Nash Seeking Systems
Michael Tang, Miroslav Krstic, Jorge Poveda
https://arxiv.org/abs/2505.24112 https://…

Deception in Oligopoly Games via Adaptive Nash Seeking Systems
In the theory of multi-agent systems, deception refers to the strategic manipulation of information to influence the behavior of other agents, ultimately altering the long-term dynamics of the entire system. Recently, this concept has been examined in the context of model-free Nash equilibrium seeking (NES) algorithms for noncooperative games. Specifically, it was demonstrated that players can exploit knowledge of other players' exploration signals to drive the system toward a ``deceptive" Nash…