Tootfinder

email_enron: Email network (Enron corpus)
The Enron email corpus, containing all the email communication from the Enron corporation, which was made public as a result of legal action. Nodes are email addresses and node i links to node j if i sent at least one email to address j. Non-Enron email addresses are also present, but only their links to/from Enron addresses are observed.
This network has 36692 nodes and 367662 edges.
Tags: Social, Communication, Unweighted, Multigr…

Informal Education is Essential to Physics: Findings of the 2024 JNIPER Summit and Recommendations for Action
Alexandra C. Lau, Jessica R. Hoehn, Michael B. Bennett, Claudia Fracchiolla, Kathleen Hinko, Noah Finkelstein, Jacqueline Acres, Lindsey D. Anderson, Shane D. Bergin, Cherie Bornhorst, Turhan K. Carroll, Michael Gregory, Cameron Hares, E. L. Hazlett, Meghan Healy, Erik A Herman, Lindsay R. House, Michele W. McColgan, Brad McLain, Azar Panah, Sarah A. Perdue, Jonathan D. Perry, …

Informal Education is Essential to Physics: Findings of the 2024 JNIPER Summit and Recommendations for Action
In order to reach the full civic and scientific potential of physics, this white paper calls for a culture change in physics to recognize informal physics education (also referred to as public engagement or outreach) as an essential disciplinary practice. That is, engaging in informal physics education (IPE) is part of what it means to ''do physics.'' In June 2024, we hosted a summit with forty-two members of the Joint Network for Informal Physics Education and Research (JNIPER) to discuss conc…

email_enron: Email network (Enron corpus)
The Enron email corpus, containing all the email communication from the Enron corporation, which was made public as a result of legal action. Nodes are email addresses and node i links to node j if i sent at least one email to address j. Non-Enron email addresses are also present, but only their links to/from Enron addresses are observed.
This network has 36692 nodes and 367662 edges.
Tags: Social, Communication, Unweighted, Multigr…

Russian bots pose as The Insider to spread disinfo about Moldova’s President Maia Sandu, alleging she uses orphans to win votes
https://theins.press/en/news/283467

Russian bots pose as The Insider to spread disinfo about Moldova’s President Maia Sandu, alleging she uses ...
The Kremlin-linked Matryoshka bot network, named after the famous Russian nesting doll, is spreading disinformation on Twitter and Bluesky while posing as The Insider. The false narratives in the network’s latest campaign target Moldovan President Maia Sandu and her ruling Action and Solidarity Party (PAS), as revealed by the bot-monitoring project Bot Blocker (@antibot4navalny).

Andor.
Film noir plus some action in a rich environment. (But still very Disney., annoying companion droids for example.)
It's "Luck makes the galaxy turn, right?" instead of "Remember, the force will be with you, always."

DVFL-Net: A Lightweight Distilled Video Focal Modulation Network for Spatio-Temporal Action Recognition
Hayat Ullah, Muhammad Ali Shafique, Abbas Khan, Arslan Munir
https://arxiv.org/abs/2507.12426

DVFL-Net: A Lightweight Distilled Video Focal Modulation Network for Spatio-Temporal Action Recognition
The landscape of video recognition has evolved significantly, shifting from traditional Convolutional Neural Networks (CNNs) to Transformer-based architectures for improved accuracy. While 3D CNNs have been effective at capturing spatiotemporal dynamics, recent Transformer models leverage self-attention to model long-range spatial and temporal dependencies. Despite achieving state-of-the-art performance on major benchmarks, Transformers remain computationally expensive, particularly with dense …

A map of #Fediverse shows every instance and the connections to all the other instances it’s connected to, as a snapshot or live-action. Non-federated instances might or might be shown, depends what you’re looking for and how you’re looking. A wire-frame map could show different skins maybe, to suit the purpose. Kind of like a wire-frame diagram of a brain’s network of synapses and shit.

LiLM-RDB-SFC: Lightweight Language Model with Relational Database-Guided DRL for Optimized SFC Provisioning
Parisa Fard Moshiri, Xinyu Zhu, Poonam Lohan, Burak Kantarci, Emil Janulewicz
https://arxiv.org/abs/2507.10903

LiLM-RDB-SFC: Lightweight Language Model with Relational Database-Guided DRL for Optimized SFC Provisioning
Effective management of Service Function Chains (SFCs) and optimal Virtual Network Function (VNF) placement are critical challenges in modern Software-Defined Networking (SDN) and Network Function Virtualization (NFV) environments. Although Deep Reinforcement Learning (DRL) is widely adopted for dynamic network decision-making, its inherent dependency on structured data and fixed action rules often limits adaptability and responsiveness, particularly under unpredictable network conditions. This…

email_enron: Email network (Enron corpus)
The Enron email corpus, containing all the email communication from the Enron corporation, which was made public as a result of legal action. Nodes are email addresses and node i links to node j if i sent at least one email to address j. Non-Enron email addresses are also present, but only their links to/from Enron addresses are observed.
This network has 36692 nodes and 367662 edges.
Tags: Social, Communication, Unweighted, Multigr…

Noise-induced stabilization in a chemical reaction network without boundary effects
Andrea Agazzi, Lucie Laurence
https://arxiv.org/abs/2506.12163 https://…

Noise-induced stabilization in a chemical reaction network without boundary effects
We present a chemical reaction network that is unstable under deterministic mass action kinetics, exhibiting finite-time blow-up of trajectories in the interior of the state space, but whose stochastic counterpart is positive recurrent. This provides an example of noise-induced stabilization of the model's dynamics arising due to noise perturbing transversally the divergent trajectories of the system that is independently of boundary effects. The proof is based on a careful decomposition of the…

The most recent heatwave in Brussels (from 30 June to 2 July) led to a 15% increase in electricity consumption, according to the region's DSO.
Assuming that 🍦 production is only a marginal component of this, demineralisation and building insulation measures should be at the forefront of action.

"L'obstruction, le retard ou l'affaiblissement de réglementations démocratiquement adoptées signalent un changement de priorités en faveur du profit privé Š court terme, au détriment des objectifs sociaux et environnementaux Š long terme"
#RulesToProtect #démocratie

"Banks bet big on fossil fuels, boosting financing in 2024, report finds"
#FossilFuels #Climate #ClimateChange

Banks bet big on fossil fuels, boosting financing in 2024, report finds
Financing for the fossil fuel sector from the world’s largest banks surged in 2024 to $869 billion, according to a recent report by the Rainforest Action Network (RAN) and other environmental groups. That figure represents an increase of nearly 23% compared to 2023. The $162.5 billion increase channeled to companies doing business in fossil fuels […]

Banks bet big on fossil fuels, boosting financing in 2024, report finds https://news.mongabay.com/2025/06/banks-bet-big-on-fossil-fuels-boosting-financing-in-2024-report-finds/

Banks bet big on fossil fuels, boosting financing in 2024, report finds
Financing for the fossil fuel sector from the world’s largest banks surged in 2024 to $869 billion, according to a recent report by the Rainforest Action Network (RAN) and other environmental groups. That figure represents an increase of nearly 23% compared to 2023. The $162.5 billion increase channeled to companies doing business in fossil fuels […]

Hybrid Diffusion Policies with Projective Geometric Algebra for Efficient Robot Manipulation Learning
Xiatao Sun, Yuxuan Wang, Shuo Yang, Yinxing Chen, Daniel Rakita
https://arxiv.org/abs/2507.05695

Hybrid Diffusion Policies with Projective Geometric Algebra for Efficient Robot Manipulation Learning
Diffusion policies have become increasingly popular in robot learning due to their reliable convergence in motion generation tasks. At a high level, these policies learn to transform noisy action trajectories into effective ones, conditioned on observations. However, each time such a model is trained in a robotics context, the network must relearn fundamental spatial representations and operations, such as translations and rotations, from scratch in order to ground itself and operate effectivel…

email_enron: Email network (Enron corpus)
The Enron email corpus, containing all the email communication from the Enron corporation, which was made public as a result of legal action. Nodes are email addresses and node i links to node j if i sent at least one email to address j. Non-Enron email addresses are also present, but only their links to/from Enron addresses are observed.
This network has 36692 nodes and 367662 edges.
Tags: Social, Communication, Unweighted, Multigr…

NetPress: Dynamically Generated LLM Benchmarks for Network Applications
Yajie Zhou, Jiajun Ruan, Eric S. Wang, Sadjad Fouladi, Francis Y. Yan, Kevin Hsieh, Zaoxing Liu
https://arxiv.org/abs/2506.03231

NetPress: Dynamically Generated LLM Benchmarks for Network Applications
Despite growing interest in domain-specific benchmarking of large language models (LLMs) and agents, current evaluations remain limited to static, small-scale datasets, especially in high-stakes tasks like network operations that demand reliability for deployments. We present NetPress, an automated benchmark generation framework for evaluating LLM agents in network applications. NetPress introduces a unified abstraction with state and action, enabling dynamic generation of diverse query sets al…

email_enron: Email network (Enron corpus)
The Enron email corpus, containing all the email communication from the Enron corporation, which was made public as a result of legal action. Nodes are email addresses and node i links to node j if i sent at least one email to address j. Non-Enron email addresses are also present, but only their links to/from Enron addresses are observed.
This network has 36692 nodes and 367662 edges.
Tags: Social, Communication, Unweighted, Multigr…

This https://arxiv.org/abs/2505.15304 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csRO_…

Saliency-Aware Quantized Imitation Learning for Efficient Robotic Control
Deep neural network (DNN)-based policy models, such as vision-language-action (VLA) models, excel at automating complex decision-making from multi-modal inputs. However, scaling these models greatly increases computational overhead, complicating deployment in resource-constrained settings like robot manipulation and autonomous driving. To address this, we propose Saliency-Aware Quantized Imitation Learning (SQIL), which combines quantization-aware training with a selective loss-weighting strate…

Educational Intervention Re-Wires Social Interactions in Isolated Village Networks
Marios Papamichalis, Laura Forastiere, Edoardo M. Airoldi, Nicholas A. Christakis
https://arxiv.org/abs/2506.10496

Educational Intervention Re-Wires Social Interactions in Isolated Village Networks
Social networks shape behavior, disseminate information, and undergird collective action within communities. Consequently, they can be very valuable in the design of effective interventions to improve community well-being. But any exogenous intervention in networked groups, including ones that just involve the provision of information, can also possibly modify the underlying network structure itself, and some interventions are indeed designed to do so. While social networks obey certain fundame…

FreqPolicy: Frequency Autoregressive Visuomotor Policy with Continuous Tokens
Yiming Zhong, Yumeng Liu, Chuyang Xiao, Zemin Yang, Youzhuo Wang, Yufei Zhu, Ye Shi, Yujing Sun, Xinge Zhu, Yuexin Ma
https://arxiv.org/abs/2506.01583

FreqPolicy: Frequency Autoregressive Visuomotor Policy with Continuous Tokens
Learning effective visuomotor policies for robotic manipulation is challenging, as it requires generating precise actions while maintaining computational efficiency. Existing methods remain unsatisfactory due to inherent limitations in the essential action representation and the basic network architectures. We observe that representing actions in the frequency domain captures the structured nature of motion more effectively: low-frequency components reflect global movement patterns, while high-…

Pegasus: A Universal Framework for Scalable Deep Learning Inference on the Dataplane
Yinchao Zhang, Su Yao, Yong Feng, Kang Chen, Tong Li, Zhuotao Liu, Yi Zhao, Lexuan Zhang, Xiangyu Gao, Feng Xiong, Qi Li, Ke Xu
https://arxiv.org/abs/2506.05779

Pegasus: A Universal Framework for Scalable Deep Learning Inference on the Dataplane
The paradigm of Intelligent DataPlane (IDP) embeds deep learning (DL) models on the network dataplane to enable intelligent traffic analysis at line-speed. However, the current use of the match-action table (MAT) abstraction on the dataplane is misaligned with DL inference, leading to several key limitations, including accuracy degradation, limited scale, and lack of generality. This paper proposes Pegasus to address these limitations. Pegasus translates DL operations into three dataplane-orien…