Tootfinder

„Policymakers need to set clear emissions targets and stronger financial incentives for use of lower emission materials, while industry must establish common standards for easier adoption of these materials into value chains.“
Jens-Peter Saul
CEO, #Ramboll

Jens-Peter Saul: The 100 Most Influential Climate Leaders of 2025
Find out why Jens-Peter Saul is on TIME's 2025 list of the 100 most influential leaders driving business climate action.

Could? This has been happening for a long, long time. It's not a new phenomenon!
@… - Older Australian women could retire in poverty, new report says http…

Looming crisis for older Australian women who will retire into poverty if no urgent action taken, new report finds
Women’s super balances are disproportionately impacted by events later in life, in addition to childcare duties, which could mean serious financial problems, research from Super Members Council (SMC) has found. 

On a Differential Model for Sandpiles Growing in a Silo
Graziano Crasta, Annalisa Malusa
https://arxiv.org/abs/2509.24618 https://arxiv.org/pdf/2509.24618

On a Differential Model for Sandpiles Growing in a Silo
We discuss some features of a boundary value problem for a system of PDEs that describes the growth of a sandpile in a container under the action of a vertical source. In particular, we characterize the long-term behavior of the profiles, and we provide a sufficient condition on the vertical source that guarantees the convergence to the equilibrium in a finite time. We show by counterexamples that a stable configuration may not be reached in a finite time, in general, even if the source is time…

In the UK, you can now get arrested under the Terrorist Act for wearing a T-shirt against Israel's ongoing genocide in Gaza.
Paul Laverty is to be charged under section 13 of the Terrorist Act for wearing a T-shirt with the words: “Genocide in Palestine, time to take Action”, thought to show support for activist group Palestine Action, proscribed as a terrorist organisation by the UK Labour government for painting fighter jets in a protest.

wow cool did Sentry just fucking HALF the spans included in our plan!?
gotta love when a company introduces a feature you never asked for and doubles the price on a feature you care about
cool cool cool, no action required indeed

Emergence of General Relativity from Cosmological Constant Via Ghost Condensation
Ichiro Oda
https://arxiv.org/abs/2509.23648 https://arxiv.org/pdf/2509.23…

Emergence of General Relativity from Cosmological Constant Via Ghost Condensation
We show that starting with a cosmological constant in a curved space-time, the Einstein-Hilbert term of general relativity is generated through a ghost condensation. We fix Weyl symmetry, or equivalently local scale symmetry by a gauge condition $R = 0$ à la BRST formalism, and see that the condensation of the Faddeev-Popov ghosts, $\langle \bar c c \rangle \neq 0$ leads to a generation of the Einstein-Hilbert action of general relativity. This dynamical mechanism of symmetry breakdown for a g…

Teaching RL Agents to Act Better: VLM as Action Advisor for Online Reinforcement Learning
Xiefeng Wu, Jing Zhao, Shu Zhang, Mingyu Hu
https://arxiv.org/abs/2509.21126 https://…

Teaching RL Agents to Act Better: VLM as Action Advisor for Online Reinforcement Learning
Online reinforcement learning in complex tasks is time-consuming, as massive interaction steps are needed to learn the optimal Q-function.Vision-language action (VLA) policies represent a promising direction for solving diverse tasks; however, their performance on low-level control remains limited, and effective deployment often requires task-specific expert demonstrations for fine-tuning. In this paper, we propose \textbf{VARL} (\textbf{V}LM as \textbf{A}ction advisor for online \textbf{R}einf…

Angular Linearization and Quantitative Convergence of Statistical Ensembles for Weighted Integrable Hamiltonian Systems
Xinyu Liu, Yong Li
https://arxiv.org/abs/2509.21412 https…

Angular Linearization and Quantitative Convergence of Statistical Ensembles for Weighted Integrable Hamiltonian Systems
Within the framework of weighted integrable Hamiltonian systems, we study the long-time behavior of the associated statistical ensembles. We construct an action-dependent angular conjugacy that rectifies the nonuniform angular flow into a constant-speed linear flow, thereby reducing the ensemble dynamics to oscillatory integrals over the action domain. Using integration by parts along a tailored vector field and \(W^{1,1}\) approximations with controlled boundary terms, we derive inverse-in-tim…

Learning Long-Range Action Representation by Two-Stream Mamba Pyramid Network for Figure Skating Assessment
Fengshun Wang, Qiurui Wang, Peilin Zhao
https://arxiv.org/abs/2508.16291

Learning Long-Range Action Representation by Two-Stream Mamba Pyramid Network for Figure Skating Assessment
Technical Element Score (TES) and Program Component Score (PCS) evaluations in figure skating demand precise assessment of athletic actions and artistic interpretation, respectively. Existing methods face three major challenges. Firstly, video and audio cues are regarded as common features for both TES and PCS predictions in previous works without considering the prior evaluation criterion of figure skating. Secondly, action elements in competitions are separated in time, TES should be derived …

A proposed class action suit against Amazon filed August 22 claims it misleads customers, who think they own content they bought when they only have a license (Winston Cho/The Hollywood Reporter)
https://www.hollywoodreporter.com/business

You Don’t Actually Own That Movie You Just “Bought.” A New Class Action Lawsuit Targets Amazon
A suit challenges Prime Video telling people they can "buy" a movie when they're purchasing a license to watch it for a period of time.

@…: Reform is spewing more lies. This time it’s using attacks against women as a cover for attacks on migrants. We can’t let it stand. Email Reform. #Goodlawproject

Tell Reform to stop exploiting women’s safety to fuel attacks on migrants
Reform UK is pushing racist claims that migrants are a threat to women’s safety. This toxic narrative paints an entire group of people as inherently dangerous. But there’s no credible evidence to back it up. Reform MP Sarah Pochin suggested that migrants have a “warped view of their right to sexually assault women”. She claimed that men from “predominantly Muslim countries like Afghanistan” hold a “medieval view of women’s rights” and that “women are at risk of sexual assaul…

Adaptive Command: Real-Time Policy Adjustment via Language Models in StarCraft II
Weiyu Ma, Dongyu Xu, Shu Lin, Haifeng Zhang, Jun Wang
https://arxiv.org/abs/2508.16580 https://…

Adaptive Command: Real-Time Policy Adjustment via Language Models in StarCraft II
We present Adaptive Command, a novel framework integrating large language models (LLMs) with behavior trees for real-time strategic decision-making in StarCraft II. Our system focuses on enhancing human-AI collaboration in complex, dynamic environments through natural language interactions. The framework comprises: (1) an LLM-based strategic advisor, (2) a behavior tree for action execution, and (3) a natural language interface with speech capabilities. User studies demonstrate significant impr…

💸 Agency for college athlete payment deals agrees to loosen third-party restrictions
https://www.theguardian.com/sport/2025/jul/31/agency-for-college-athlete-payment-deals-agrees-to-loosen-third-party-restrictio…

SafeBimanual: Diffusion-based Trajectory Optimization for Safe Bimanual Manipulation
Haoyuan Deng, Wenkai Guo, Qianzhun Wang, Zhenyu Wu, Ziwei Wang
https://arxiv.org/abs/2508.18268

SafeBimanual: Diffusion-based Trajectory Optimization for Safe Bimanual Manipulation
Bimanual manipulation has been widely applied in household services and manufacturing, which enables the complex task completion with coordination requirements. Recent diffusion-based policy learning approaches have achieved promising performance in modeling action distributions for bimanual manipulation. However, they ignored the physical safety constraints of bimanual manipulation, which leads to the dangerous behaviors with damage to robots and objects. To this end, we propose a test-time tr…

I think I need to clarify some shit for (white) liberals.
How many times have you wondered if someone you're talking to in an informant sent to entrap you? How many times have you or a friend of yours been hit by a car, intentionally? How many friends have been hit, or almost hit? Ever been stabbed? Know anyone who has? Has the FBI ever knocked on a friend's door? Have police ever kicked down your door? Have you ever been arrested? Pepper sprayed? Does the sound or smell or blast balls give you flashbacks? Do you ever wonder what all the CS exposure is doing to your body? How many times have you been shot or shot at? Do you wonder every day if this is the day they'll come to kill you? Would anyone in your social circle answer these questions differently?
When you vote, you risk nothing (big asterisk, but if I'm talking to you then it doesn't apply to you). What you get out of voting is exactly what you put into it. Direct action is the same.
If you aren't worried about someone murdering you, then you probably aren't actually threatening the system. That's the difference between voting, and doing something useful. If they had to murder all the liberals in order to keep going, fascism would end. If they're only murdering radicals and marginalized people, then you're just like all the "good Germans" who hated Hitler but did essentially nothing.
It's already that bad for some people. How much are you willing to risk? How many people are you willing to sacrifice for your comfort? These are the questions we're all thinking about every time you tell us to vote.
(I'm tagging this #USPol so it's easy for folks to filter out if they're already well acquaintaned with the horror. I'm not CW, because USPol is just expected to be triggering.)

Towards 6G Intelligence: The Role of Generative AI in Future Wireless Networks
Muhammad Ahmed Mohsin, Junaid Ahmad, Muhammad Hamza Nawaz, Muhammad Ali Jamshed
https://arxiv.org/abs/2508.19495

Towards 6G Intelligence: The Role of Generative AI in Future Wireless Networks
Ambient intelligence (AmI) is a computing paradigm in which physical environments are embedded with sensing, computation, and communication so they can perceive people and context, decide appropriate actions, and respond autonomously. Realizing AmI at global scale requires sixth generation (6G) wireless networks with capabilities for real time perception, reasoning, and action aligned with human behavior and mobility patterns. We argue that Generative Artificial Intelligence (GenAI) is the crea…

Interpretable Modeling of Articulatory Temporal Dynamics from real-time MRI for Phoneme Recognition
Jay Park, Hong Nguyen, Sean Foley, Jihwan Lee, Yoonjeong Lee, Dani Byrd, Shrikanth Narayanan
https://arxiv.org/abs/2509.15689

Interpretable Modeling of Articulatory Temporal Dynamics from real-time MRI for Phoneme Recognition
Real-time Magnetic Resonance Imaging (rtMRI) visualizes vocal tract action, offering a comprehensive window into speech articulation. However, its signals are high dimensional and noisy, hindering interpretation. We investigate compact representations of spatiotemporal articulatory dynamics for phoneme recognition from midsagittal vocal tract rtMRI videos. We compare three feature types: (1) raw video, (2) optical flow, and (3) six linguistically-relevant regions of interest (ROIs) for articula…

A gravitational spin-orbit interaction in Poincar\'e gauge theory
Sebastian Bahamonde, Jorge Gigante Valcarcel
https://arxiv.org/abs/2508.20035 https://

A gravitational spin-orbit interaction in Poincaré gauge theory
We show a gravitational spin-orbit interaction that can potentially modify the space-time geometry naturally emerges in the framework of Poincaré gauge theory. For this purpose, we derive the field equations of a particular model with cubic order invariants and demonstrate the existence of analytical solutions which display an interaction between the intrinsic and extrinsic angular momentum parameters in the gravitational action, in analogy to the spin-orbit interaction arising from atomic and…

“This is the first time we’ve tested this kind of triple-action therapy for head and neck cancer patients whose disease has returned after treatment. Amivantamab is a smart drug that not only blocks two key cancer pathways but also helps the immune system do its job.
“Unlike many cancer treatments that require hours in a hospital chair, amivantamab is given as a simple injection under the skin. This makes it faster, more convenient, and potentially easier to deliver in outpatient clinic…

Similarity-Based Supervised User Session Segmentation Method for Behavior Logs
Yongzhi Jin, Kazushi Okamoto, Kei Harada, Atsushi Shibata, Koki Karube
https://arxiv.org/abs/2508.16106

Similarity-Based Supervised User Session Segmentation Method for Behavior Logs
In information recommendation, a session refers to a sequence of user actions within a specific time frame. Session-based recommender systems aim to capture short-term preferences and generate relevant recommendations. However, user interests may shift even within a session, making appropriate segmentation essential for modeling dynamic behaviors. In this study, we propose a supervised session segmentation method based on similarity features derived from action embeddings and attributes. We com…

OPTIC-ER: A Reinforcement Learning Framework for Real-Time Emergency Response and Equitable Resource Allocation in Underserved African Communities
Mary Tonwe
https://arxiv.org/abs/2508.12943

OPTIC-ER: A Reinforcement Learning Framework for Real-Time Emergency Response and Equitable Resource Allocation in Underserved African Communities
Public service systems in many African regions suffer from delayed emergency response and spatial inequity, causing avoidable suffering. This paper introduces OPTIC-ER, a reinforcement learning (RL) framework for real-time, adaptive, and equitable emergency response. OPTIC-ER uses an attention-guided actor-critic architecture to manage the complexity of dispatch environments. Its key innovations are a Context-Rich State Vector, encoding action sub-optimality, and a Precision Reward Function, wh…

"UK government and public overestimate time left for climate action, study finds"
#UK #UnitedKingdom #Climate #ClimateChange

UK government and public overestimate time left for climate action, study finds
A new study has found that UK Members of Parliament (MPs) and the public overestimate the time left to meet a critical deadline for limiting global warming.

Choose Your Battles: Distributed Learning Over Multiple Tug of War Games
Siddharth Chandak, Ilai Bistritz, Nicholas Bambos
https://arxiv.org/abs/2509.20147 https://

Choose Your Battles: Distributed Learning Over Multiple Tug of War Games
Consider N players and K games taking place simultaneously. Each of these games is modeled as a Tug-of-War (ToW) game where increasing the action of one player decreases the reward for all other players. Each player participates in only one game at any given time. At each time step, a player decides the game in which they wish to participate in and the action they take in that game. Their reward depends on the actions of all players that are in the same game. This system of K games is termed `M…

I wonder how Nazi Germany handled climate issues during the Holocaust. Do you think it was widely discussed at the time? https://mastodon.social/@Snoro/115179873107637672

Stop spinning your wheels trying to understand those complex Excel formulas.
Seriously. Let AI do it for you. 🤖
Microsoft Copilot now gives instant, plain English explanations right inside your spreadsheet. It’s a massive time-saver for anyone working with complex data... Or even just someone new to Excel altogether.
Could this be the best Excel update in years?
See the game-changing feature in action in my new video:

Pointwise purity, derived Satake, and Symplectic duality
Victor Ginzburg
https://arxiv.org/abs/2508.15958 https://arxiv.org/pdf/2508.15958

Pointwise purity, derived Satake, and Symplectic duality
It has been known for a long time that Ext's between IC-sheaves may often be expressed in terms of Hom's between cohomology groups. We prove a more general result under weaker assumptions. The result is used to describe the action of the derived Satake equivalence on !-pure objects and show that the equivalence enjoys a new kind of functoriality with respect to morphisms of reductive groups. We find and prove normality of the symplectic dual X^! for many smooth affine Hamiltonian G-varieties X,…

Tell Congress: NO Funding for Primate Breeding! #AnimalRights

URGENT: Tell Congress NO to Funding Primate Breeding!
Right now, Congress is working on the 2025 federal budget, and the Senate Appropriations Committee has allocated a staggering $30 million to expand primate breeding and research at National Primate Research Centers. This funding will support invasive, unethical experiments on primates—causing unimaginable suffering while advancing unreliable science that fails over 90% of the time in human clinical trials. 🔬 Despite these facts, the NIH asked for $10 million, but the Senate has tripled th…

From David Suzuki Foundation
The Suzuki Sessions: Resistance and Solidarity in the Face of LNG
Together, they’ll dive into the most pressing issues of our time, from climate to environmental justice, and explore real opportunities for collective action. Expect lively, thought-provoking discussions that spark ideas and fuel hope for a better future.
The first session will feature the voices and perspectives of front-line land defenders resisting fossil fuel expansion on thei…

Normative Moral Pluralism for AI: A Framework for Deliberation in Complex Moral Contexts
David-Doron Yaacov
https://arxiv.org/abs/2508.08333 https://arxiv.…

Normative Moral Pluralism for AI: A Framework for Deliberation in Complex Moral Contexts
The conceptual framework proposed in this paper centers on the development of a deliberative moral reasoning system - one designed to process complex moral situations by generating, filtering, and weighing normative arguments drawn from diverse ethical perspectives. While the framework is rooted in Machine Ethics, it also makes a substantive contribution to Value Alignment by outlining a system architecture that links structured moral reasoning to action under time constraints. Grounded in norm…

UK would rather arrest almost 500 people rather than admit or cease its complicity in Israel’s genocide of the Palestinian people.
So I guess the next step is a 5,000-person protest.
They arrest 5,000? Time for 50,000.
Overwhelm the system until the system stops committing genocide.

UK police arrest at least 466 people at Palestine Action protest in London
Critics say ban on activist group stifles freedom of speech and assembly and aims to curb pro-Palestine demonstrations.

What TV channel is Cowboys vs. Rams on today? Time, TV schedule for NFL preseason game https://cowboyswire.usatoday.com/story/sports/nfl/cowboys/2025/08/09/where-to-watch-cowboys-vs-rams-today-tv-channel-…

Self-Guided Action Diffusion
Rhea Malhotra, Yuejiang Liu, Chelsea Finn
https://arxiv.org/abs/2508.12189 https://arxiv.org/pdf/2508.12189

Self-Guided Action Diffusion
Recent works have shown the promise of inference-time search over action samples for improving generative robot policies. In particular, optimizing cross-chunk coherence via bidirectional decoding has proven effective in boosting the consistency and reactivity of diffusion policies. However, this approach remains computationally expensive as the diversity of sampled actions grows. In this paper, we introduce self-guided action diffusion, a more efficient variant of bidirectional decoding tailor…

Before you spend $59 on that iPhone strap, consider giving the same amount to the World Central Kitchen. They help feed people in a humanitarian crisis around the world.
Many thanks for considering my request.
https://wck.org/

Admission Control for Inelastic Traffic on a Link Shared by Deadline-Driven Elastic Traffic
Patrick Kreidl
https://arxiv.org/abs/2509.08135 https://arxiv.o…

Admission Control for Inelastic Traffic on a Link Shared by Deadline-Driven Elastic Traffic
Consider a (logical) link between two distributed data centers with available bandwidth designated for both deadline-driven elastic traffic, such as for scheduled synchronization services, and profitable inelastic traffic, such as for real-time streaming services. Admission control in this setting is cast as a stochastic shortest path problem, with state space derived from (discretization of) the elastic flow's size/deadline and action space corresponding to alternative subsets of admitted inel…

Exact kinetic propagators for coherent state complex Langevin simulations
Thomas G. Kiely, Ethan C. McGarrigle, Glenn H. Fredrickson
https://arxiv.org/abs/2508.11057 https://

Exact kinetic propagators for coherent state complex Langevin simulations
We introduce and benchmark an improved algorithm for complex Langevin simulations of bosonic coherent state path integrals. Our approach utilizes a Strang splitting of the imaginary-time propagator rather than the conventional linear-order Taylor expansion, allowing us to construct an action that incorporates higher-order terms at negligible computational cost. The resulting algorithm enjoys guaranteed linear stability independent of the imaginary-time discretization, enabling more resource-eff…

A rigorous Keldysh functional integral for fermions
Philipp Benjamin Aretz, Manfred Salmhofer
https://arxiv.org/abs/2508.01787 https://arxiv.org/pdf/2508.0…

A rigorous Keldysh functional integral for fermions
We provide a mathematically rigorous Keldysh functional integral for fermionic quantum field theories. We show convergence of a discrete-time Grassmann Gaussian integral representation in the time-continuum limit under very general hypotheses. We also prove analyticity of the effective action and explicit bounds for the truncated (connected) expectation values of the non-equilibrium system. These bounds imply clustering with a summable decay in the thermodynamic limit, provided these properties…

Learning the action for long-time-step simulations of molecular dynamics
Filippo Bigi, Michele Ceriotti
https://arxiv.org/abs/2508.01068 https://arxiv.org/…

Learning the action for long-time-step simulations of molecular dynamics
The equations of classical mechanics can be used to model the time evolution of countless physical systems, from the astrophysical to the atomic scale. Accurate numerical integration requires small time steps, which limits the computational efficiency -- especially in cases such as molecular dynamics that span wildly different time scales. Using machine-learning (ML) algorithms to predict trajectories allows one to greatly extend the integration time step, at the cost of introducing artifacts s…

Quantum Simulation of Random Unitaries from Clebsch-Gordan Transforms
Dmitry Grinko, Satoshi Yoshida
https://arxiv.org/abs/2509.26623 https://arxiv.org/pdf…

Quantum Simulation of Random Unitaries from Clebsch-Gordan Transforms
We present a general method for simulating an action of $t$ copies of a Haar random unitary for arbitrary compact groups. This construction can be viewed as a representation-theoretic generalization of Zhandry's compressed function oracle technique. It is conceptually simple, exact and utilizes Clebsch-Gordan transforms as main building blocks. In particular, for the unitary group, our method is efficient in space and time. Finally, our general oracle for forward queries can be easily modified …

AEGIS: An Agent for Extraction and Geographic Identification in Scholarly Proceedings
Om Vishesh, Harshad Khadilkar, Deepak Akkil
https://arxiv.org/abs/2509.09470 https://

AEGIS: An Agent for Extraction and Geographic Identification in Scholarly Proceedings
Keeping pace with the rapid growth of academia literature presents a significant challenge for researchers, funding bodies, and academic societies. To address the time-consuming manual effort required for scholarly discovery, we present a novel, fully automated system that transitions from data discovery to direct action. Our pipeline demonstrates how a specialized AI agent, 'Agent-E', can be tasked with identifying papers from specific geographic regions within conference proceedings and then …

The US has about two dozen of its 71 nuclear-powered submarines at sea at any one time
and they are routinely moved into areas close to Russia, especially at times of heightened tension.
What is unusual is for the US to broadcast it, betraying the real point of Trump’s post,
which is: to demonstrate he is a man of action and to send a message.
The action is important to Trump as the most performative president of the modern era,
his now-familiar style being to r…

Why has Trump deployed nuclear submarines?
The US president wants to demonstrate that he is a man of action and send a message to President Putin after the Russian leader rejected his calls for a truce

Society of Mind Meets Real-Time Strategy: A Hierarchical Multi-Agent Framework for Strategic Reasoning
Daechul Ahn, San Kim, Jonghyun Choi
https://arxiv.org/abs/2508.06042 https…

Society of Mind Meets Real-Time Strategy: A Hierarchical Multi-Agent Framework for Strategic Reasoning
Large Language Models (LLMs) have recently demonstrated impressive action sequence prediction capabilities but often struggle with dynamic, long-horizon tasks such as real-time strategic games. In a game such as StarCraftII (SC2), agents need to manage resource constraints and adapt to evolving battlefield situations in a partially observable environment. This often overwhelms exisiting LLM-based approaches. To address these challenges, we propose a hierarchical multi-agent framework that emplo…

A Fundamental Convergence Rate Bound for Gradient Based Online Optimization Algorithms with Exact Tracking
Alex Xinting Wu, Ian R. Petersen, Iman Shames
https://arxiv.org/abs/2508.21335

A Fundamental Convergence Rate Bound for Gradient Based Online Optimization Algorithms with Exact Tracking
In this paper, we consider algorithms with integral action for solving online optimization problems characterized by quadratic cost functions with a time-varying optimal point described by an $(n-1)$th order polynomial. Using a version of the internal model principle, the optimization algorithms under consideration are required to incorporate a discrete time $n$-th order integrator in order to achieve exact tracking. By using results on an optimal gain margin problem, we obtain a fundamental co…

SimCoachCorpus: A naturalistic dataset with language and trajectories for embodied teaching
Emily Sumner, Deepak E. Gopinath, Laporsha Dees, Patricio Reyes Gomez, Xiongyi Cui, Andrew Silva, Jean Costa, Allison Morgan, Mariah Schrum, Tiffany L. Chen, Avinash Balachandran, Guy Rosman
https://arxiv.org/abs/2509.14548

SimCoachCorpus: A naturalistic dataset with language and trajectories for embodied teaching
Curated datasets are essential for training and evaluating AI approaches, but are often lacking in domains where language and physical action are deeply intertwined. In particular, few datasets capture how people acquire embodied skills through verbal instruction over time. To address this gap, we introduce SimCoachCorpus: a unique dataset of race car simulator driving that allows for the investigation of rich interactive phenomena during guided and unguided motor skill acquisition. In this dat…

Statistical Inference for Misspecified Contextual Bandits
Yongyi Guo, Ziping Xu
https://arxiv.org/abs/2509.06287 https://arxiv.org/pdf/2509.06287

Statistical Inference for Misspecified Contextual Bandits
Contextual bandit algorithms have transformed modern experimentation by enabling real-time adaptation for personalized treatment and efficient use of data. Yet these advantages create challenges for statistical inference due to adaptivity. A fundamental property that supports valid inference is policy convergence, meaning that action-selection probabilities converge in probability given the context. Convergence ensures replicability of adaptive experiments and stability of online algorithms. In…

It\^{o}-Stratonovich Conversion in Infinite Dimensions for Unbounded, Time-Dependent, Nonlinear Operators
Daniel Goodair
https://arxiv.org/abs/2508.03424 https://

Itô-Stratonovich Conversion in Infinite Dimensions for Unbounded, Time-Dependent, Nonlinear Operators
We prove that a solution, in a variational framework, to the Stratonovich stochastic partial differential equation with noise $G\left(t, Ψ_t\right) \circ dW_t$ is given by a solution to the Itô equation with Itô-Stratonovich corrector $\frac{1}{2}\sum_{i=1}^\infty D_uG_i\left(t, Ψ_t\right)\left[G_i(t,Ψ_t)\right]dt$. Here $G_i$ denotes the action of $G$ on the $i^{th}$ component of the cylindrical noise, and $D_uG_i$ its Fréchet partial derivative in the Hilbert space for which the Itô fo…

"""
In the sixteenth century, lunacy was a constant theme that was never questioned. It was still frequent in the seventeenth century, but started to disappear, and by 1707, the year in which Le François asked the question ‘Estne aliquod lunae in corpora humana imperium?’ (Does the moon have any influence over the human body?), after lengthy discussions, the university decided that their reply was in the negative. In the course of the eighteenth century the moon was rarely cited among the causes of madness, even as a possible factor or an aggravation. But right at the end of the century the idea reappears, perhaps under the influence of English medicine, which had never entirely forgotten the moon, and Daquin, followed by Leuret and Guislain, all admitted the influence of the moon on the phases of maniacal excitement, or at the least on the agitation of their patients. But what is important here is not so much the return of the theme as the possibility and conditions necessary for its reappearance. It reappears entirely transformed, filled with a new significance that it did not formerly possess. In its traditional form, it designated an immediate influence, a direct coincidence in time and intersection in space, whose mode of action was entirely situated in the power of the stars. But in Daquin by contrast, the influence of the moon acts through a whole series of mediations, in a kind of hierarchy, surrounding man. The moon acts on the atmosphere with such intensity that it can set in motion a mass as heavy as the ocean. The nervous system, of all the parts that make up the human organism, is the part most sensitive to atmospheric variations, as the slightest variation in temperature, humidity or dryness can have serious effects upon it. The moon therefore, given the important power that its trajectory exerts on the atmosphere, is likely to act most on people whose nervous fibres are particularly delicate:
“Madness is an exclusively nervous condition, and the brain of a madman must therefore be infinitely more susceptible to the influence of the atmosphere, which itself undergoes considerable changes of intensity as a result of the different positions of the moon relative to the earth.” [Daquin, Philosophie de la folie, Paris, 1792]
"""
(Michel Foucault, History of Madness)

What TV channel is Cowboys vs. Rams on today? Time, TV schedule for NFL preseason game https://cowboyswire.usatoday.com/story/sports/nfl/cowboys/2025/08/09/where-to-watch-cowboys-vs-rams-today-tv-channel-…

SpliDT: Partitioned Decision Trees for Scalable Stateful Inference at Line Rate
Murayyiam Parvez, Annus Zulfiqar, Roman Beltiukov, Shir Landau Feibish, Walter Willinger, Arpit Gupta, Muhammad Shahbaz
https://arxiv.org/abs/2509.00397

SpliDT: Partitioned Decision Trees for Scalable Stateful Inference at Line Rate
Machine learning (ML) is increasingly being deployed in programmable data planes (switches and SmartNICs) to enable real-time traffic analysis, security monitoring, and in-network decision-making. Decision trees (DTs) are particularly well-suited for these tasks due to their interpretability and compatibility with data-plane architectures, i.e., match-action tables (MATs). However, existing in-network DT implementations are constrained by the need to compute all input features upfront, forcing …

Space, time and altruism in pandemics and the climate emergency
Chris T. Bauch, Athira Satheesh Kumar, Kamal Jnawali, Karoline Wiesner, Simon A. Levin, Madhur Anand
https://arxiv.org/abs/2510.06236

Space, time and altruism in pandemics and the climate emergency
Climate change is a global emergency, as was the COVID-19 pandemic. Why was our collective response to COVID-19 so much stronger than our response to the climate emergency, to date? We hypothesize that the answer has to do with the scale of the systems, and not just spatial and temporal scales but also the `altruistic scale' that measures whether an action must rely upon altruistic motives for it to be adopted. We treat COVID-19 and climate change as common pool resource problems that exemplify…

Extreme events and impact statistics for unipotent actions on the space of lattices
Jens Marklof, Andreas Str\"ombergsson, Shucheng Yu
https://arxiv.org/abs/2510.11371 http…

Extreme events and impact statistics for unipotent actions on the space of lattices
This paper extends a recent extreme value law for horocycle flows on the space of two-dimensional lattices, due to Kirsebom and Mallahi-Karai, to the simplest examples of rank-$k$ unipotent actions on the space of $n$-dimensional lattices. We analyse the problem in terms of the hitting time and impact statistics for the unipotent action with respect to a shrinking surface of section, following the strategy of Pollicott and the first named author in the case of hyperbolic surfaces. If $k=n-1$, t…

Verifier-free Test-Time Sampling for Vision Language Action Models
Suhyeok Jang, Dongyoung Kim, Changyeon Kim, Youngsuk Kim, Jinwoo Shin
https://arxiv.org/abs/2510.05681 https:/…

Verifier-free Test-Time Sampling for Vision Language Action Models
Vision-Language-Action models (VLAs) have demonstrated remarkable performance in robot control. However, they remain fundamentally limited in tasks that require high precision due to their single-inference paradigm. While test-time scaling approaches using external verifiers have shown promise, they require additional training and fail to generalize to unseen conditions. We propose Masking Distribution Guided Selection (MG-Select), a novel test-time scaling framework for VLAs that leverages the…

Vanishing of the $H^3$ obstruction for time-reversal symmetry in (2 1)D abelian bosonic TQFTs
Ippo Orii
https://arxiv.org/abs/2509.07368 https://arxiv.org/…

Vanishing of the $H^3$ obstruction for time-reversal symmetry in (2+1)D abelian bosonic TQFTs
In $(2+1)$-dimensional topological quantum field theories (TQFTs), the action of a global symmetry group on the anyon system is one of the central topics of research. Owing to the subtle categorical nature of anyons, such group actions do not automatically satisfy associativity. The obstruction is captured by a cohomology class, known as the $H^3$ obstruction, whose presence signals a failure of group associativity. In these cases, the symmetry structure is no longer described by an ordinary gr…

Diffeomorphic Neural Operator Learning
Seth Taylor, Alex Bihlo, Jean-Christophe Nave
https://arxiv.org/abs/2508.06690 https://arxiv.org/pdf/2508.06690

Diffeomorphic Neural Operator Learning
We present an operator learning approach for a class of evolution operators using a composition of a learned lift into the space of diffeomorphisms of the domain and the group action on the field space. In turn, this transforms the semigroup structure of the evolution operator into a corresponding group structure allowing time stepping be performed through composition on the space of diffeomorphisms rather than in the field space directly. This results in a number of structure-preserving proper…

Bianchi-I cosmology with scale dependent $G$ and $\Lambda$ in asymptotically safe gravity
Chiang-Mei Chen, Akihiro Ishibashi, Rituparna Mandal, Nobuyoshi Ohta
https://arxiv.org/abs/2509.09759

Bianchi-I cosmology with scale dependent $G$ and $Λ$ in asymptotically safe gravity
We study anisotropic Bianchi-I (BI) cosmology, incorporating quantum gravitational corrections into the Einstein equation through the scale-dependent Newton coupling and cosmological term, as determined by the flow equation of the effective action for gravity. For the cosmological term $Λ_0=0$, we derive the quantum-corrected power-series solution for a general equation-of-state parameter $w$ in the range $-1

Lagrangian controllability in perforated domains
Mitsuo Higaki, Jiajiang Liao, Franck Sueur
https://arxiv.org/abs/2509.14913 https://arxiv.org/pdf/2509.149…

Lagrangian controllability in perforated domains
The question at stake in Lagrangian controllability is whether one can move a patch of fluid particles to a target location by means of remote action in a given time interval. In the last two decades, positive results have been obtained both for the incompressible Euler and Navier-Stokes equations. However, for the latter, the case where the fluid is contained within domains bounded by solid boundaries with the no-slip condition has not been addressed, with respect to the difficulty caused by v…

A Dynamic Programming Framework for Vehicular Task Offloading with Successive Action Improvement
Qianren Li, Yuncong Hong, Bojie Lv, Rui Wang
https://arxiv.org/abs/2509.05907 ht…

A Dynamic Programming Framework for Vehicular Task Offloading with Successive Action Improvement
In this paper, task offloading from vehicles with random velocities is optimized via a novel dynamic programming framework. Particularly, in a vehicular network with multiple vehicles and base stations (BSs), computing tasks of vehicles are offloaded via BSs to an edge server. Due to the random velocities, the exact locations of vehicles versus time, namely trajectories, cannot be determined in advance. Hence, instead of deterministic optimization, the cell association, uplink time, and through…

It's Robert Reich.
Never have I seen a president or Congress do so much harm to so many people in so little time.
Trump and his MAGA stooges in Congress have:
- Stripped health care from 10 million people;
- Cut food stamp benefits for 40 million, half of them children;
- Slashed $8 billion from foreign aid programs;
- Defunded public radio and TV;
- Handed $4.5 trillion in tax breaks to Trump and his billionaire friends.
It's our job to ho…

Get Robert Reich's new book, Coming Up Short, and enter to win a signed copy!
When you get Robert Reich's new book through Inequality Media Civic Action, you'll be entered to win 1 of 75 signed copies!

ResearStudio: A Human-Intervenable Framework for Building Controllable Deep-Research Agents
Linyi Yang, Yixuan Weng
https://arxiv.org/abs/2510.12194 https://

ResearStudio: A Human-Intervenable Framework for Building Controllable Deep-Research Agents
Current deep-research agents run in a ''fire-and-forget'' mode: once started, they give users no way to fix errors or add expert knowledge during execution. We present ResearStudio, the first open-source framework that places real-time human control at its core. The system follows a Collaborative Workshop design. A hierarchical Planner-Executor writes every step to a live ''plan-as-document,'' a fast communication layer streams each action, file change, and tool call to a web interface. At any …

A Multimodal GUI Architecture for Interfacing with LLM-Based Conversational Assistants
Hans G. W. van Dam
https://arxiv.org/abs/2510.06223 https://arxiv.or…

A Multimodal GUI Architecture for Interfacing with LLM-Based Conversational Assistants
Advances in large language models (LLMs) and real-time speech recognition now make it possible to issue any graphical user interface (GUI) action through natural language and receive the corresponding system response directly through the GUI. Most production applications were never designed with speech in mind. This article provides a concrete architecture that enables GUIs to interface with LLM-based speech-enabled assistants. The architecture makes an application's navigation graph and sema…

ADPro: a Test-time Adaptive Diffusion Policy for Robot Manipulation via Manifold and Initial Noise Constraints
Zezeng Li, Rui Yang, Ruochen Chen, ZhongXuan Luo, Liming Chen
https://arxiv.org/abs/2508.06266

ADPro: a Test-time Adaptive Diffusion Policy for Robot Manipulation via Manifold and Initial Noise Constraints
Diffusion policies have recently emerged as a powerful class of visuomotor controllers for robot manipulation, offering stable training and expressive multi-modal action modeling. However, existing approaches typically treat action generation as an unconstrained denoising process, ignoring valuable a priori knowledge about geometry and control structure. In this work, we propose the Adaptive Diffusion Policy (ADP), a test-time adaptation method that introduces two key inductive biases into the …

"Brazil implores businesses to attend major climate summit, despite 'second thoughts' amid Trump backlash"
#Brazil #ClimateSummit

Brazil implores businesses to attend major climate summit, despite 'second thoughts' amid Trump backlash
November's COP30 summit comes at a precarious time for climate action, as companies back away from environmental initiatives, and attacks on green energy by President Trump.

Learning When to Plan: Efficiently Allocating Test-Time Compute for LLM Agents
Davide Paglieri, Bart{\l}omiej Cupia{\l}, Jonathan Cook, Ulyana Piterbarg, Jens Tuyls, Edward Grefenstette, Jakob Nicolaus Foerster, Jack Parker-Holder, Tim Rockt\"aschel
https://arxiv.org/abs/2509.03581

Learning When to Plan: Efficiently Allocating Test-Time Compute for LLM Agents
Training large language models (LLMs) to reason via reinforcement learning (RL) significantly improves their problem-solving capabilities. In agentic settings, existing methods like ReAct prompt LLMs to explicitly plan before every action; however, we demonstrate that always planning is computationally expensive and degrades performance on long-horizon tasks, while never planning further limits performance. To address this, we introduce a conceptual framework formalizing dynamic planning for LL…

INSIGHT: INference-time Sequence Introspection for Generating Help Triggers in Vision-Language-Action Models
Ulas Berk Karli, Ziyao Shangguan, Tesca FItzgerald
https://arxiv.org/abs/2510.01389

INSIGHT: INference-time Sequence Introspection for Generating Help Triggers in Vision-Language-Action Models
Recent Vision-Language-Action (VLA) models show strong generalization capabilities, yet they lack introspective mechanisms for anticipating failures and requesting help from a human supervisor. We present \textbf{INSIGHT}, a learning framework for leveraging token-level uncertainty signals to predict when a VLA should request help. Using $π_0$-FAST as the underlying model, we extract per-token \emph{entropy}, \emph{log-probability}, and Dirichlet-based estimates of \emph{aleatoric and epistemi…

Optimal Messaging Strategy for Incentivizing Agents in Dynamic Systems
Renyan Sun, Ashutosh Nayyar
https://arxiv.org/abs/2508.00188 https://arxiv.org/pdf/2…

Optimal Messaging Strategy for Incentivizing Agents in Dynamic Systems
We consider a finite-horizon discrete-time dynamic system jointly controlled by a designer and one or more agents, where the designer can influence the agents' actions through selective information disclosure. At each time step, the designer sends a message to the agent(s) from a prespecified message space. The designer may also take an action that directly influences system dynamics and rewards. Each agent uses its received message (and its own information) to choose its action. We are interes…

Charged Proca Stars
Yahir Mio, Miguel Alcubierre
https://arxiv.org/abs/2508.09081 https://arxiv.org/pdf/2508.09081

Charged Proca Stars
We consider self-gravitating stationary configurations of a charged massive complex Proca field, also known as charged Proca stars, in the particular case of spherical symmetry. We first present a general 3+1 decomposition of the Einstein--Maxwell--Proca system, starting from the action and field equations. We then restrict our system to the case of spherical symmetry and, after imposing a harmonic time dependence ansatz for the Proca field, we construct families of charged Proca stars for diff…

Real-Time Iteration Scheme for Diffusion Policy
Yufei Duan, Hang Yin, Danica Kragic
https://arxiv.org/abs/2508.05396 https://arxiv.org/pdf/2508.05396

Real-Time Iteration Scheme for Diffusion Policy
Diffusion Policies have demonstrated impressive performance in robotic manipulation tasks. However, their long inference time, resulting from an extensive iterative denoising process, and the need to execute an action chunk before the next prediction to maintain consistent actions limit their applicability to latency-critical tasks or simple tasks with a short cycle time. While recent methods explored distillation or alternative policy structures to accelerate inference, these often demand addi…

Slow convergence almost everywhere of ergodic averages
Valery V. Ryzhikov
https://arxiv.org/abs/2508.00463 https://arxiv.org/pdf/2508.00463

Slow convergence almost everywhere of ergodic averages
For an ergodic action of the group $Z^n$ on a probability space and a given arbitrarily slowly decreasing to zero sequence, there exists an integrable function such that the standard ergodic time averages for it converge almost everywhere to the spatial average of the function at a rate that is not asymptotically majorized by this sequence. This generalizes the Krengel effect about the absence of universal estimates for the rate of convergence in Birkhoff's ergodic theorem. The proof uses a wea…

Mutual Information Tracks Policy Coherence in Reinforcement Learning
Cameron Reid, Wael Hafez, Amirhossein Nazeri
https://arxiv.org/abs/2509.10423 https://…

Mutual Information Tracks Policy Coherence in Reinforcement Learning
Reinforcement Learning (RL) agents deployed in real-world environments face degradation from sensor faults, actuator wear, and environmental shifts, yet lack intrinsic mechanisms to detect and diagnose these failures. We present an information-theoretic framework that reveals both the fundamental dynamics of RL and provides practical methods for diagnosing deployment-time anomalies. Through analysis of state-action mutual information patterns in a robotic control task, we first demonstrate that…

Scalar quasinormal modes of magnetically charged black holes in a quintessence field
Ali Hasnain
https://arxiv.org/abs/2509.08845 https://arxiv.org/pdf/250…

Scalar quasinormal modes of magnetically charged black holes in a quintessence field
We investigate the quasinormal mode (QNM) spectrum for scalar perturbations of static, magnetically charged black holes in the presence of a quintessence field. The background geometry is obtained from the Einstein-Power-Maxwell action with a Kiselev-type contribution for quintessence. The associated master wave equation is solved using complementary numerical approaches, including high-order WKB expansions, the asymptotic iteration method, and time-domain integration, with cross-validation to …

Good Morning #Canada
Summer is over, and this morning, approximately 5.5 million primary and secondary Canadian students go back to school. Lunches are packed, stylish new backpacks have a light load, and sneakers are fashionably untied. Stay alert for school busses, crosswalks, and that speed camera newly installed outside your local school. Yes, it's hectic today as you relearn how to get your kids out the door on time. Enjoy the change of pace because soon you'll be shoveling snow.
#CanadaIsAwesome #BackToSchool #WinterIsComing
https://www150.statcan.gc.ca/t1/tbl1/en/tv.action?pid=3710010901

SITCOM: Scaling Inference-Time COMpute for VLAs
Ayudh Saxena, Harsh Shah, Sandeep Routray, Rishi Rajesh Shah, Esha Pahwa
https://arxiv.org/abs/2510.04041 https://

SITCOM: Scaling Inference-Time COMpute for VLAs
Learning robust robotic control policies remains a major challenge due to the high cost of collecting labeled data, limited generalization to unseen environments, and difficulties in planning over long horizons. While Vision-Language-Action (VLA) models offer a promising solution by grounding natural language instructions into single-step control commands, they often lack mechanisms for lookahead and struggle with compounding errors in dynamic tasks. In this project, we introduce Scaling Infere…

The least I can do. After you write YOUR letter, post a picture!
#disney #boycottdisney
#uspol #JimmyKimmel

Compose Your Policies! Improving Diffusion-based or Flow-based Robot Policies via Test-time Distribution-level Composition
Jiahang Cao, Yize Huang, Hanzhong Guo, Rui Zhang, Mu Nan, Weijian Mai, Jiaxu Wang, Hao Cheng, Jingkai Sun, Gang Han, Wen Zhao, Qiang Zhang, Yijie Guo, Qihao Zheng, Chunfeng Song, Xiao Li, Ping Luo, Andrew F. Luo
https://

Compose Your Policies! Improving Diffusion-based or Flow-based Robot Policies via Test-time Distribution-level Composition
Diffusion-based models for robotic control, including vision-language-action (VLA) and vision-action (VA) policies, have demonstrated significant capabilities. Yet their advancement is constrained by the high cost of acquiring large-scale interaction datasets. This work introduces an alternative paradigm for enhancing policy performance without additional model training. Perhaps surprisingly, we demonstrate that the composed policies can exceed the performance of either parent policy. Our contr…

Six-dimensional cosmological models with conformal extensions
Daniel Muller, Sergey G. Rubin, Ilya L. Shapiro, Alexey Toporensky
https://arxiv.org/abs/2510.01534 https://…

Six-dimensional cosmological models with conformal extensions
We consider the background cosmological solutions in the $6D$ (six-dimensional) model with one time and five space coordinates. The theory of our interest has the action composed by the Einstein term, cosmological constant, and two conformal terms constructed from the third powers of the Weyl tensor. It is shown how the highest derivative terms in the equations of motion can be isolated that opens the way for their numerical integration. There are flat anisotropic solutions which make one of th…