Tootfinder

ExoStart: Efficient learning for dexterous manipulation with sensorized exoskeleton demonstrations
Zilin Si, Jose Enrique Chen, M. Emre Karagozler, Antonia Bronars, Jonathan Hutchinson, Thomas Lampe, Nimrod Gileadi, Taylor Howell, Stefano Saliceti, Lukasz Barczyk, Ilan Olivarez Correa, Tom Erez, Mohit Shridhar, Murilo Fernandes Martins, Konstantinos Bousmalis, Nicolas Heess, Francesco Nori, Maria Bauza Villalonga

ExoStart: Efficient learning for dexterous manipulation with sensorized exoskeleton demonstrations
Recent advancements in teleoperation systems have enabled high-quality data collection for robotic manipulators, showing impressive results in learning manipulation at scale. This progress suggests that extending these capabilities to robotic hands could unlock an even broader range of manipulation skills, especially if we could achieve the same level of dexterity that human hands exhibit. However, teleoperating robotic hands is far from a solved problem, as it presents a significant challenge …

“We’re in a moment when the moral forces of the world and religious forces of the world have a deep responsibility to say it doesn’t have to be this way.”
—The Divinity School's William Barber in today's NY Times speaking about the wars, polarization, inequality, disinformation, and other challenges #PopeLeo must contend with as he begins his papacy

For Catholics, the Pope Is a Holy Father. For the World, He Is a Powerful Voice
The papacy is a global platform, so the issues Pope Leo chooses to focus on can resonate far beyond the church.

Guardians of the Regime: When and Why Autocrats Create Secret Police
Marius Mehrl, Mila Pfander, Theresa Winner, Cornelius Fritz
https://arxiv.org/abs/2506.10194

Guardians of the Regime: When and Why Autocrats Create Secret Police
Autocrats use secret police to stay in power, as these organizations deter and suppress opposition to their rule. Existing research shows that secret police are very good at this but, surprisingly, also that they are not as ubiquitous in autocracies as one may assume, existing in less than 50% of autocratic country-years. We thus explore under which conditions secret police emerge in dictatorships. For this purpose, we apply statistical variable selection techniques to identify which of several…

MOORL: A Framework for Integrating Offline-Online Reinforcement Learning
Gaurav Chaudhary, Wassim Uddin Mondal, Laxmidhar Behera
https://arxiv.org/abs/2506.09574

MOORL: A Framework for Integrating Offline-Online Reinforcement Learning
Sample efficiency and exploration remain critical challenges in Deep Reinforcement Learning (DRL), particularly in complex domains. Offline RL, which enables agents to learn optimal policies from static, pre-collected datasets, has emerged as a promising alternative. However, offline RL is constrained by issues such as out-of-distribution (OOD) actions that limit policy performance and generalization. To overcome these limitations, we propose Meta Offline-Online Reinforcement Learning (MOORL), …

The spectrum of the Burnside Tambara functor
Maxine Elena Calle, David Chan, David Mehrle, J. D. Quigley, Ben Spitz, Danika Van Niel
https://arxiv.org/abs/2506.10727

The spectrum of the Burnside Tambara functor
We compute the spectrum of prime ideals in the Burnside Tambara functor over an arbitrary finite group.

Variation in the size of the Photon Sphere and Black Hole Shadow in the Modified Gravity
Kanav Ganguly, Ajay Kumar Sharma, Murli Manohar Verma
https://arxiv.org/abs/2506.10414

Variation in the size of the Photon Sphere and Black Hole Shadow in the Modified Gravity
Black hole shadows are a widespread topic in astrophysics. This paper searches for an optical view of the black hole and the relationship between black hole shadow and photon sphere with curvature. We were inspired by the observations of Sagittarius $A^*$ and supermassive black hole M87$*$ through the Event Horizon Telescope. We have found the signature of the modified theory of gravity on the photon sphere and shadow. We considered $f(R)$ modified theory of gravity and new scalar degree of fre…

This https://arxiv.org/abs/2504.09030 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCY_…

Authoritarian Recursions: How Fiction, History, and AI Reinforce Control in Education, Warfare, and Discourse
This article develops the concept of authoritarian recursion to theorize how artificial intelligence (AI) systems consolidate institutional control across education, military operations, and digital discourse. Rather than treating these domains in isolation, it identifies a shared recursive architecture in which algorithmic systems mediate judgment, obscure accountability, and reshape the conditions of moral and epistemic agency. Grounded in critical discourse analysis and sociotechnical ethi…

Bootstrapping form factor squared in ${\cal N}=4$ super-Yang-Mills
Song He, Xiang Li, Jingwen Lin, Jiahao Liu, Kai Yan
https://arxiv.org/abs/2506.07796 htt…

Bootstrapping form factor squared in ${\cal N}=4$ super-Yang-Mills
We propose a bootstrap program for the {\it form factor squared} with operator ${\rm tr}(ϕ^2)$ in maximally supersymmetric Yang-Mills theory in the planar limit, which plays a central role for perturbative calculations of important physical observables such as energy correlators. The tree-level $N$-point form factor (FF) squared can be obtained by cutting $N$ propagators of a collection of two-point ``master diagrams" at $(N{-}1)$ loops: for $N=3,4,5,6$ there are merely $1, 2, 4, 13$ topologie…

Three-loop QCD Mass Relation between the $\overline{\mathrm{MS}}$ and Symmetric-momentum Subtraction Scheme Away from the Chiral Limit
Long Chen, Marco Niggetiedt
https://arxiv.org/abs/2506.07451

Three-loop QCD Mass Relation between the $\overline{\mathrm{MS}}$ and Symmetric-momentum Subtraction Scheme Away from the Chiral Limit
The perturbative result for the quark-mass conversion factor between the $\overline{\mathrm{MS}}$ and regularization-independent symmetric-momentum subtraction scheme (RI/SMOM) away from the chiral limit, i.e. at non-zero quark masses (RI/mSMOM), is derived up to three loops in QCD, extending the existing result by two additional orders. We further explore an illuminating possibility that in Dimensional Regularization, the original RI/(m)SMOM renormalization conditions may be interpreted merely…

Ego-centric Learning of Communicative World Models for Autonomous Driving
Hang Wang, Dechen Gao, Junshan Zhang
https://arxiv.org/abs/2506.08149 https://

Ego-centric Learning of Communicative World Models for Autonomous Driving
We study multi-agent reinforcement learning (MARL) for tasks in complex high-dimensional environments, such as autonomous driving. MARL is known to suffer from the \textit{partial observability} and \textit{non-stationarity} issues. To tackle these challenges, information sharing is often employed, which however faces major hurdles in practice, including overwhelming communication overhead and scalability concerns. By making use of generative AI embodied in world model together with its latent …