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🇺🇦 Auf radioeins läuft...
Jalen Ngonda:
🎵 Just as Long as Were Together
#NowPlaying #JalenNgonda
https://jalenngonda.bandcamp.com/track/just-as-long-as-were-together
https://open.spotify.com/track/6uAt2PE7YB5gHeCAFeD7G6

🇺🇦 #NowPlaying on BBCRadio3's #MusicPlanet
Julian Kytasty:
🎵 Waiting for the porridge
#JulianKytasty
https://open.spotify.com/track/1lkNkyZPxyprqnHiXptIVZ

🇺🇦 #NowPlaying on KEXP's #SundaySoul
D’Angelo:
🎵 Devil’s Pie
#DAngelo
https://jsoulmusic.bandcamp.com/track/dangelo-devils-pie-funked-out-mix
https://open.spotify.com/track/5ILWEn8WXPezgpHkGHDk8s
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Trump vs. George III: A No Kings Comparison (Julian Sanchez/Non-Content)
https://juliansanchez.substack.com/p/trump-vs-george-iii-a-no-kings-comparison
http://www.memeorandum.com/251018/p39#a251018p39

Winners of the 2025 Ocean Photographer of the Year Contest #photography …

VisionLaw: Inferring Interpretable Intrinsic Dynamics from Visual Observations via Bilevel Optimization
Jailing Lin, Shu Jiang, Qingyuan Zeng, Zhenzhong Wang, Min Jiang
https://arxiv.org/abs/2508.13792

VisionLaw: Inferring Interpretable Intrinsic Dynamics from Visual Observations via Bilevel Optimization
The intrinsic dynamics of an object governs its physical behavior in the real world, playing a critical role in enabling physically plausible interactive simulation with 3D assets. Existing methods have attempted to infer the intrinsic dynamics of objects from visual observations, but generally face two major challenges: one line of work relies on manually defined constitutive priors, making it difficult to generalize to complex scenarios; the other models intrinsic dynamics using neural networ…

HiFo-Prompt: Prompting with Hindsight and Foresight for LLM-based Automatic Heuristic Design
Chentong Chen, Mengyuan Zhong, Jianyong Sun, Ye Fan, Jialong Shi
https://arxiv.org/abs/2508.13333

HiFo-Prompt: Prompting with Hindsight and Foresight for LLM-based Automatic Heuristic Design
LLM-based Automatic Heuristic Design (AHD) within Evolutionary Computation (EC) frameworks has shown promising results. However, its effectiveness is hindered by the use of static operators and the lack of knowledge accumulation mechanisms. We introduce HiFo-Prompt, a framework that guides LLMs with two synergistic prompting strategies: Foresight and Hindsight. Foresight-based prompts adaptively steer the search based on population dynamics, managing the exploration-exploitation trade-off. In a…

Nucleation-free independent graphs with implied nonedges
Jialong Cheng, Meera Sitharam, Ileana Streinu, William Sims
https://arxiv.org/abs/2508.12417 https://

Nucleation-free independent graphs with implied nonedges
We give inductive constructions of independent graphs that contain implied nonedges but do not contain any non-trivial rigid subgraphs, or \emph{nucleations}: some of the constructions and proofs apply to 3-dimensional abstract rigidity matroids with their respective definitions of nucleations and implied nonedges. The first motivation for the inductive constructions of this paper, which generate an especially intractable class of flexible circuits, is to illuminate further obstacles to settlin…

Indoor Fluid Antenna Systems Enabled by Layout-Specific Modeling and Group Relative Policy Optimization
Tong Zhang, Qianren Li, Shuai Wang, Wanli Ni, Jiliang Zhang, Rui Wang, Kai-Kit Wong, Chan-Byoung Chae
https://arxiv.org/abs/2509.15006

Indoor Fluid Antenna Systems Enabled by Layout-Specific Modeling and Group Relative Policy Optimization
The fluid antenna system (FAS) revolutionizes wireless communications by employing position-flexible antennas that dynamically optimize channel conditions and mitigate multipath fading. This innovation is particularly valuable in indoor environments, where signal propagation is severely degraded due to structural obstructions and complex multipath reflections. In this paper, we study the channel modeling and joint optimization of antenna positioning, beamforming, and power allocation for indoor…

RoTO: Robust Topology Obfuscation Against Tomography Inference Attacks
Chengze Du, Heng Xu, Zhiwei Yu, Ying Zhou, Zili Meng, Jialong Li
https://arxiv.org/abs/2508.12852 https://…

RoTO: Robust Topology Obfuscation Against Tomography Inference Attacks
Tomography inference attacks aim to reconstruct network topology by analyzing end-to-end probe delays. Existing defenses mitigate these attacks by manipulating probe delays to mislead inference, but rely on two strong assumptions: (i) probe packets can be perfectly detected and altered, and (ii) attackers use known, fixed inference algorithms. These assumptions often break in practice, leading to degraded defense performance under detection errors or adaptive adversaries. We present RoTO, a rob…