Tootfinder

I respect a principled stand.
“Public Broadcasting, the FCC, and Why I Turned Down the FCC Chairman’s Award for Advancement in Accessibility (by Larry Goldberg)”
https://www.lflegal.com/2025/07/larry-goldberg-fcc-award/

Attacks on Public Broadcasting Lead US Accessibility Champion to Reject Prestigious Award
Lainey's Introduction As the republican attacks on rights, benefits and democracy continue in the United States, resistance takes many forms. One problem in the country right now is that main stream media normalizes trump and republican activity, as if we are not creeping toward fascism with ever

Better Bounds for Semi-Streaming Single-Source Shortest Paths
Sepehr Assadi, Gary Hoppenworth, Janani Sundaresan
https://arxiv.org/abs/2507.17841 https://a…

Better Bounds for Semi-Streaming Single-Source Shortest Paths
In the semi-streaming model, an algorithm must process any $n$-vertex graph by making one or few passes over a stream of its edges, use $O(n \cdot \text{polylog }n)$ words of space, and at the end of the last pass, output a solution to the problem at hand. Approximating (single-source) shortest paths on undirected graphs is a longstanding open question in this model. In this work, we make progress on this question from both upper and lower bound fronts: We present a simple randomized algorith…

PyPitfall: Dependency Chaos and Software Supply Chain Vulnerabilities in Python
Jacob Mahon, Chenxi Hou, Zhihao Yao
https://arxiv.org/abs/2507.18075 https://

PyPitfall: Dependency Chaos and Software Supply Chain Vulnerabilities in Python
Python software development heavily relies on third-party packages. Direct and transitive dependencies create a labyrinth of software supply chains. While it is convenient to reuse code, vulnerabilities within these dependency chains can propagate through dependencies, potentially affecting down-stream packages and applications. PyPI, the official Python package repository, hosts many packages and lacks a comprehensive analysis of the prevalence of vulnerable dependencies. This paper introduces…

StreamME: Simplify 3D Gaussian Avatar within Live Stream
Luchuan Song, Yang Zhou, Zhan Xu, Yi Zhou, Deepali Aneja, Chenliang Xu
https://arxiv.org/abs/2507.17029

StreamME: Simplify 3D Gaussian Avatar within Live Stream
We propose StreamME, a method focuses on fast 3D avatar reconstruction. The StreamME synchronously records and reconstructs a head avatar from live video streams without any pre-cached data, enabling seamless integration of the reconstructed appearance into downstream applications. This exceptionally fast training strategy, which we refer to as on-the-fly training, is central to our approach. Our method is built upon 3D Gaussian Splatting (3DGS), eliminating the reliance on MLPs in deformable 3…

Beyond utility: incorporating eye-tracking, skin conductance and heart rate data into cognitive and econometric travel behaviour models
Thomas O. Hancock, Stephane Hess, Charisma F. Choudhury
https://arxiv.org/abs/2506.18068

Beyond utility: incorporating eye-tracking, skin conductance and heart rate data into cognitive and econometric travel behaviour models
Choice models for large-scale applications have historically relied on economic theories (e.g. utility maximisation) that establish relationships between the choices of individuals, their characteristics, and the attributes of the alternatives. In a parallel stream, choice models in cognitive psychology have focused on modelling the decision-making process, but typically in controlled scenarios. Recent research developments have attempted to bridge the modelling paradigms, with choice models th…

Integral action for bilinear systems with application to counter current heat exchanger
Francesco Ripa, Daniele Astolfi, Boussad Hamroun, Diego Regruto
https://arxiv.org/abs/2507.16553

Integral action for bilinear systems with application to counter current heat exchanger
In this study, we propose a robust control strategy for a counter-current heat exchanger. The primary objective is to regulate the outlet temperature of one fluid stream by manipulating the flow rate of the second counter-current fluid stream. By leveraging the energy balance equations, we develop a structured bilinear system model derived by using a uniform spatial discretization of each stream into a cascade of homogeneous volumes and by considering the heat transfer and convective phenomena …

Investigations of the kinetic ion-acoustic soliton by the Bernstein-Greene-Kruskal integral method
Ran Guo
https://arxiv.org/abs/2507.15207 https://…

Investigations of the kinetic ion-acoustic soliton by the Bernstein-Greene-Kruskal integral method
The solitary waves are investigated through the Bernstein-Greene-Kruskal integral method with the ion response. We consider two specific cases of ions, i.e., the single stream with the waterbag distribution and the two counter-propagating streams with the Maxwellian distribution. The trapped electron distributions are derived for both two cases. The results show that the trapped electron distribution can be either a hole or a hump in the phase space, depending on the competition between the con…

Bidder Feedback in First-Price Auctions for Video Advertising
S\'ebastien Lahaie, Benjamin Schaeffer, Yuanjun Zhou
https://arxiv.org/abs/2506.17058 htt…

Bidder Feedback in First-Price Auctions for Video Advertising
In first-price auctions for display advertising, exchanges typically communicate the "minimum-bid-to-win" to bidders after the auction as feedback for their bidding algorithms. For a winner, this is the second-highest bid, while for losing bidders it is the highest bid. In this paper we investigate the generalization of this concept to general combinatorial auctions, motivated by the domain of video advertising. In a video pod auction, ad slots during an advertising break in a video stream are …

Towards a Proactive Autoscaling Framework for Data Stream Processing at the Edge using GRU and Transfer Learning
Eugene Armah, Linda Amoako Bannning
https://arxiv.org/abs/2507.14597

Towards a Proactive Autoscaling Framework for Data Stream Processing at the Edge using GRU and Transfer Learning
Processing data at high speeds is becoming increasingly critical as digital economies generate enormous data. The current paradigms for timely data processing are edge computing and data stream processing (DSP). Edge computing places resources closer to where data is generated, while stream processing analyzes the unbounded high-speed data in motion. However, edge stream processing faces rapid workload fluctuations, complicating resource provisioning. Inadequate resource allocation leads to bot…

InfiniPot-V: Memory-Constrained KV Cache Compression for Streaming Video Understanding
Minsoo Kim, Kyuhong Shim, Jungwook Choi, Simyung Chang
https://arxiv.org/abs/2506.15745

InfiniPot-V: Memory-Constrained KV Cache Compression for Streaming Video Understanding
Modern multimodal large language models (MLLMs) can reason over hour-long video, yet their key-value (KV) cache grows linearly with time--quickly exceeding the fixed memory of phones, AR glasses, and edge robots. Prior compression schemes either assume the whole video and user query are available offline or must first build the full cache, so memory still scales with stream length. InfiniPot-V is the first training-free, query-agnostic framework that enforces a hard, length-independent memory c…

The ALMA Survey of 70 $\mu$m Dark High-mass Clumps in Early Stages (ASHES). XII. Unanchored Forked Stream in the Propogating Path of a Protostellar Outflow
Shuting Lin, Siyi Feng, Patricio Sanhueza, Ke Wang, Zhi-Yu Zhang, Yichen Zhang, Fengwei Xu, Junzhi Wang, Kaho Morii, Hauyu Baobab Liu, Sheng-Yuan Liu, Lile Wang, Hui Li, Daniel Tafoya, Willem Baan, Shanghuo Li, Giovanni Sabatini

The ALMA Survey of 70 $μ$m Dark High-mass Clumps in Early Stages (ASHES). XII. Unanchored Forked Stream in the Propogating Path of a Protostellar Outflow
Outflows are key indicators of ongoing star formation. We report the discovery of an unanchored forked stream within the propagating path of an extremely young protostellar outflow in the 70 $μ$m-dark clump G34.74-0.12, based on ALMA 1.3 mm observations with an angular resolution of 1''.6 (~ 5000 au). This outflow originate from a 9.7 $M_{\odot}$ core, exhibits a fork-shaped stream structure in its red-shifted lobe, which is traced by CO (2-1), SiO (5-4), and H$_2$CO (3$_{0,3}$-2$_{0,2}$). It …

On global regular axially-symmetric solution to the Navier-Stokes equations in a cylinder
Wies{\l}aw J. Grygierzec, Wojciech M. Zaj\k{a}czkowski
https://arxiv.org/abs/2507.14964

On global regular axially-symmetric solution to the Navier-Stokes equations in a cylinder
We consider the axisymmetric Navier-Stokes equations in a finite cylinder $Ω\subset\mathbb{R}^3$. We assume that $v_r$, $v_φ$, $ω_φ$ vanish on the lateral part of boundary $\partialΩ$ of the cylinder, and that $v_z$, $ω_φ$, $\partial_zv_φ$ vanish on the top and bottom parts of the boundary $\partialΩ$, where we used standard cylindrical coordinates, and we denoted by $ω={\rm curl}\, v$ the vorticity field. We use $H^3$ Sobolev estimates for the modified stream function (stream functio…

CLEVER: Stream-based Active Learning for Robust Semantic Perception from Human Instructions
Jongseok Lee, Timo Birr, Rudolph Triebel, Tamim Asfour
https://arxiv.org/abs/2507.15499

CLEVER: Stream-based Active Learning for Robust Semantic Perception from Human Instructions
We propose CLEVER, an active learning system for robust semantic perception with Deep Neural Networks (DNNs). For data arriving in streams, our system seeks human support when encountering failures and adapts DNNs online based on human instructions. In this way, CLEVER can eventually accomplish the given semantic perception tasks. Our main contribution is the design of a system that meets several desiderata of realizing the aforementioned capabilities. The key enabler herein is our Bayesian for…

A look at Decart, which has developed video-to-video AI model Mirage that manipulates live video in real time and can potentially shake up livestreaming (Will Knight/Wired)
https://www.wired.com/story/decart-artificial-intelligence-model-live-stream/

This AI Warps Live Video in Real Time
A startup called Decart has developed an AI model that can transform live footage. The results are mind-bending—and poised to take over streaming.

Towards Stream-Based Monitoring for EVM Networks
Emanuel Onica, Claudiu-Nicu B\u{a}rbieru, Andrei Arusoaie, Oana-Otilia Captarencu, Ciprian Amariei
https://arxiv.org/abs/2505.16095

Towards Stream-Based Monitoring for EVM Networks
We believe that leveraging real-time blockchain operational data is of particular interest in the context of the current rapid expansion of rollup networks in the Ethereum ecosystem. Given the compatible but also competing ground that rollups offer for applications, stream-based monitoring can be of use both to developers and to EVM networks governance. In this paper, we discuss this perspective and propose a basic monitoring pipeline.

SpeedLLM: An FPGA Co-design of Large Language Model Inference Accelerator
Peipei Wang, Wu Guan, Liping Liang, Zhijun Wang, Hanqing Luo, Zhibin Zhang
https://arxiv.org/abs/2507.14139

SpeedLLM: An FPGA Co-design of Large Language Model Inference Accelerator
This paper introduces SpeedLLM, a neural network accelerator designed on the Xilinx Alevo U280 platform and optimized for the Tinyllama framework to enhance edge computing performance. Key innovations include data stream parallelism, a memory reuse strategy, and Llama2 operator fusion, which collectively reduce latency and energy consumption. SpeedLLM's data pipeline architecture optimizes the read-compute-write cycle, while the memory strategy minimizes FPGA resource demands. The operator fusi…

Predicting Perceptual Boundaries in Auditory Streaming using Delay Differential Equations
Asim Alawfi, Farzaneh Darki, Jan Sieber
https://arxiv.org/abs/2507.14157

Predicting Perceptual Boundaries in Auditory Streaming using Delay Differential Equations
Auditory streaming enables the brain to organize sequences of sounds into perceptually distinct sources, such as following a conversation in a noisy environment. A typical experiment for investigating perceptual boundaries and bistability is to present a subject with a stream containing two alternating tone stimuli. We investigate a model for the processing of such a stream consisting of two identical neural populations of excitatory and inhibitory neurons. The populations are coupled via delay…

South Park is no longer available on Paramount outside the US, as sources say the platform's license to stream the series internationally has expired (Brande Victorian/The Hollywood Reporter)
https://www.hollywoodreporter.com/news/gen

‘South Park’ Removed From Paramount+ Outside the U.S.
Amid a streaming rights battle, the platform's license to stream the series internationally has expired, sources tell The Hollywood Reporter.

Newly daylighted Canyon Creek brings lost habitat back to Spanish Banks
A long-hidden urban stream in Spanish Banks Beach Park has been brought back to the surface thanks to efforts by the Vancouver Board of Parks and Recreation.
Local Nations, community members and elected officials gathered today to celebrate the public opening of Canyon Creek, a previously buried waterway that ran through Pacific Spirit Regional Park and under the western parking lot at Spanish Banks

Newly daylighted Canyon Creek brings lost habitat back to Spanish Banks
A long-hidden urban stream in Spanish Banks Beach Park has been brought back to the surface thanks to efforts by the Vancouver Board of Parks and Recreation.

Unveiling the Cosmic Dance of Repeated Nuclear Transient ASASSN-14ko: Insights from Multiwavelength Observations
Shifeng Huang, Tinggui Wang, Ning Jiang, Rong-Feng Shen, Zhaohao Chen, Yuanming Wang, Jiazheng Zhu, Yibo Wang, Yunguo Jiang, Xinwen Shu, Hucheng Ding, Xiongjun Fang, Yifan Wang, Jie Lin, Jingran Xu, Xu Chen, Zheyu Lin, Zhengfeng Sheng
http…

Unveiling the Cosmic Dance of Repeated Nuclear Transient ASASSN-14ko: Insights from Multiwavelength Observations
ASASSN-14ko is a periodically repeating nuclear transient. We conducted high-cadence, multiwavelength observations of this source, revealing several recurrent early bumps and rebrightenings in its UV/optical light curves. The energy released during these bumps and rebrightenings shows a diminishing trend in recent UV/optical outbursts, which we monitored through multiwavelength observations. These features can be ascribed to the interaction between stream debris and the expanded disk in the rep…

Distributed Composite Optimization with Sub-Weibull Noises
Zhan Yu, Zhongjie Shi, Deming Yuan
https://arxiv.org/abs/2506.12901 https://

Distributed Composite Optimization with Sub-Weibull Noises
With the rapid development of multi-agent distributed optimization (MA-DO) theory over the past decade, the distributed stochastic gradient method (DSGM) occupies an important position. Although the theory of different DSGMs has been widely established, the main-stream results of existing work are still derived under the condition of light-tailed stochastic gradient noises. Increasing recent examples from various fields, indicate that, the light-tailed noise model is overly idealized in many pr…

Stream programs are monoid homomorphisms with state
Tyler Hou, Michael Arntzenius, Max Willsey
https://arxiv.org/abs/2507.10799 https://

Stream programs are monoid homomorphisms with state
We define a broad class of deterministic stream functions and show they can be implemented as homomorphisms into a "state" monoid. The homomorphism laws are simpler than the conditions of previous semantic frameworks for stream program optimization, yet retain support for rich equational reasoning over expressive dataflow programs, including sequential composition, parallel composition, and feedback. We demonstrate this using examples of partitioned database joins, stratified negation, and a si…

Discovering Temporal Structure: An Overview of Hierarchical Reinforcement Learning
Martin Klissarov, Akhil Bagaria, Ziyan Luo, George Konidaris, Doina Precup, Marlos C. Machado
https://arxiv.org/abs/2506.14045

Discovering Temporal Structure: An Overview of Hierarchical Reinforcement Learning
Developing agents capable of exploring, planning and learning in complex open-ended environments is a grand challenge in artificial intelligence (AI). Hierarchical reinforcement learning (HRL) offers a promising solution to this challenge by discovering and exploiting the temporal structure within a stream of experience. The strong appeal of the HRL framework has led to a rich and diverse body of literature attempting to discover a useful structure. However, it is still not clear how one might …

1/2 “My input stream is full of it: Fear and loathing and cheerleading and prognosticating on what generative AI means and whether it’s Good or Bad and what we should be doing. All the channels: Blogs and peer-reviewed papers and social-media posts and business-news stories. So there’s lots of AI angst out there, but this is mine. I think the following is a bit unique because it focuses on cost, working backward from there.”

AI Angst

When I die, I wanna come back as a panda: https://explore.org/livecams/panda-bears/china-panda-cam-1

Giant Panda Cam - live stream from China | Explore.org
Giant Panda Cam at the Gengda Panda Center in China shows live video of pandas eating and socializing.

Soeben eröffnet der newsroom der #nytimes den nachrichten-stream zu den #nokings -protesten. In den AP-News wird schon von einem überwältigenden Zulauf berichtet. Wir befinden uns mitten in der größten Massendemo der #USA

No Kings Protests Across the U.S. Oppose Trump Policies: Live Updates
Demonstrators gathered in roughly 2,000 communities large and small, with few reports of unrest. Many protests on the East Coast have wound down, but demonstrations were just beginning in Los Angeles, the epicenter of anger over the Trump administration’s immigration crackdown.

Advances in NASA Imaging Changed How World Sees Mars - NASA #science

Advances in NASA Imaging Changed How World Sees Mars - NASA
Sixty years ago, NASA’s Mariner 4 captured groundbreaking views of the Red Planet, leading to a steady stream of advances in the cameras used to study other

Generalised Rate Control Approach For Stream Processing Applications
Ziren Xiao
https://arxiv.org/abs/2506.11710 https://arxiv.org/pd…

Generalised Rate Control Approach For Stream Processing Applications
Distributed stream processing systems are widely deployed to process real-time data generated by various devices, such as sensors and software systems. A key challenge in the system is overloading, which leads to an unstable system status and consumes additional system resources. In this paper, we use a graph neural network-based deep reinforcement learning to collaboratively control the data emission rate at which the data is generated in the stream source to proactively avoid overloading scen…

"AI-enhanced maps reveal hidden streams for restoration"
#AI #ArtificialIntelligence #Environment

AI-enhanced maps reveal hidden streams for restoration
A dataset unveiled today more than doubles the documented stream miles in the Chesapeake Bay Watershed, elevating the total from approximately 150,000 to nearly 350,000 miles. The Hyper-Resolution Hydrography Data used to generate the new stream maps stems from a collaboration between the University of Maryland, Baltimore County (UMBC), the Environmental Protection Agency's Chesapeake Bay Program (CBP), and the Chesapeake Conservancy (CC), including UMBC alumni at CBP and CC.

Plasma instability in the front of ejected energetic electrons and Type III solar radiobursts
Vladimir Krasnoselskikh, Immanuel Christopher Jebaraj, Tom Robert Franck Cooper, Andrii Voschepynets, Thierry Dudok de Wit, Marc Pulupa, Forrest Mozer, Oleksiy Agapitov, Michael Balikhin, Stuart D. Bale
https://arxiv.org/abs/2507.08437

Plasma instability in the front of ejected energetic electrons and Type III solar radiobursts
Type III radio bursts are a signature of the flux of near-relativistic electrons ejected during solar flares. These bursts are frequently observed by spacecraft such as the Parker Solar Probe. It is traditionally believed that these electron beams generate Langmuir waves through the two-stream instability, which are then converted into electromagnetic waves. In this study, we revise that model by examining how the electron distribution becomes truncated due to the "time-of-flight" effect as the…

Implementing Video Monitoring Capabilities by using hardware-based Encoders of the Raspberry Pi Zero 2 W
Thomas Ederer, Igor Ivki\'c
https://arxiv.org/abs/2507.12487

Implementing Video Monitoring Capabilities by using hardware-based Encoders of the Raspberry Pi Zero 2 W
Single-board computers, with their wide range of external interfaces, provide a cost-effective solution for studying animals and plants in their natural habitat. With the introduction of the Raspberry Pi Zero 2 W, which provides hardware-based image and video encoders, it is now possible to extend this application area to include video surveillance capabilities. This paper demonstrates a solution that offloads video stream generation from the Central Processing Unit (CPU) to hardware-based enco…

Looks like EU funding of #FLOSS will continue: "Open digital infrastructure, from search and identity to cloud and software governance, is now a strategic European priority."

NGI Forum 2025 marks a strategic shift from Next Generation Internet toward the Open Internet Stack
The Next Generation Internet (NGI) Forum 2025, the flagship event of the European Commission’s NGI initiative, took place in Brussels on 19-20 June, with over 200 on-site participants and many more via web stream. The Forum focused on accelerating the shift from research and experimentation to the deployment of sovereign, open digital infrastructures.

Real-Time Scene Reconstruction using Light Field Probes
Yaru Liu, Derek Nowrouzezahri, Morgan Mcguire
https://arxiv.org/abs/2507.14624 https://

Real-Time Scene Reconstruction using Light Field Probes
Reconstructing photo-realistic large-scale scenes from images, for example at city scale, is a long-standing problem in computer graphics. Neural rendering is an emerging technique that enables photo-realistic image synthesis from previously unobserved viewpoints; however, state-of-the-art neural rendering methods have difficulty efficiently rendering a high complex large-scale scene because these methods typically trade scene size, fidelity, and rendering speed for quality. The other stream of…

Evolutionists Flock To Darwin-Shaped Wall Stain
https://theonion.com/evolutionists-flock-to-darwin-shaped-wall-stain-1819570078/

Evolutionists Flock To Darwin-Shaped Wall Stain
DAYTON, TN—A steady stream of devoted evolutionists continued to gather in this small Tennessee town today to witness what many believe is an image of Charles Darwin—author of The Origin Of Species and founder of the modern evolutionary movement—made manifest on a concrete wall in downtown Dayton.

A Python client for the ATLAS API
Heloise F. Stevance, Jack Leland, Ken W. Smith
https://arxiv.org/abs/2506.06403 https://arxiv.org/p…

A Python client for the ATLAS API
The Asteroid Terrestrial-impact Last Alert System (ATLAS) is an all-sky optical sky survey with a cadence of 24 to 48 hours and the ATLAS Transient Server processes the alert stream to enable the discovery and follow-up of extra-galactic transients. The data from the ATLAS server can be accessed through a REST API, which has allowed the development of bots that need direct access to the data to help rank alerts and trigger followup observations of promising targets. Here we present the python c…

Supersonic Turbulence in Primordial Halos: A Comparison With and Without The Stream Velocity
Avi Chen, William Lake, Claire E. Williams, Blakesley Burkhart, Smadar Naoz, Shyam H. Menon, Federico Marinacci, Mark Vogelsberger, Naoki Yoshida
https://arxiv.org/abs/2507.12993

Supersonic Turbulence in Primordial Halos: A Comparison With and Without The Stream Velocity
Turbulence plays a critical role in regulating star formation in molecular clouds and is also observed in simulations of primordial halos that host Population III (Pop III) stars. The relative velocity between baryons and dark matter at the time of recombination is thought to be a source of turbulence in the early universe. In this paper, we study how this stream velocity affects the turbulence inside primordial halos using high-resolution cosmological simulations across the redshift range of $…

A limit on the mass of the Taurid Resonant Swarm at sub-100 meter sizes
Paul Wiegert, Denis Vida, David L. Clark, Auriane Egal, Richard Wainscoat, Robert Weryk
https://arxiv.org/abs/2506.03327

A limit on the mass of the Taurid Resonant Swarm at sub-100 meter sizes
We report on a pencil-beam survey of the Taurid Swarm, a possible concentration of bodies in the Taurid meteoroid stream associated with the 7:2 mean-motion resonance with Jupiter. Canada-France-Hawaii Telescope MegaCam observations reaching apparent magnitudes of 24.5 in the gri filter were taken over three nights. Rates of motion on the sky allowed for the quick elimination of main-belt objects from the over 1000 moving sources seen. Eight candidates with on-sky rates of motion consistent wit…

Downstream: efficient cross-platform algorithms for fixed-capacity stream downsampling
Connor Yang, Joey Wagner, Emily Dolson, Luis Zaman, Matthew Andres Moreno
https://arxiv.org/abs/2506.12975

Downstream: efficient cross-platform algorithms for fixed-capacity stream downsampling
Due to ongoing accrual over long durations, a defining characteristic of real-world data streams is the requirement for rolling, often real-time, mechanisms to coarsen or summarize stream history. One common data structure for this purpose is the ring buffer, which maintains a running downsample comprising most recent stream data. In some downsampling scenarios, however, it can instead be necessary to maintain data items spanning the entirety of elapsed stream history. Fortunately, approaches g…

This https://arxiv.org/abs/2505.24009 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCL_…

Diversity of Transformer Layers: One Aspect of Parameter Scaling Laws
Transformers deliver outstanding performance across a wide range of tasks and are now a dominant backbone architecture for large language models (LLMs). Their task-solving performance is improved by increasing parameter size, as shown in the recent studies on parameter scaling laws. Although recent mechanistic-interpretability studies have deepened our understanding of the internal behavior of Transformers by analyzing their residual stream, the relationship between these internal mechanisms an…

Non-classicality of two-qubit quantum collision model: non-Markovian effects
Jai Lalita, Subhashish Banerjee
https://arxiv.org/abs/2506.23818 https://

Non-classicality of two-qubit quantum collision model: non-Markovian effects
We investigate a two-qubit quantum system in contact with an environment modeled by a microscopic collision model with added ancilla-ancilla collisions in the non-Markovian regime. Two schemes of the two-qubit collision model with carried-forward correlations are introduced. In one scheme, a single stream of ancillae interacts with only one of the qubits of the two-qubit system; in the other, both the qubits interact with two independent sequences of ancillae, which could be at the same or diff…

Fine-Grained control over Music Generation with Activation Steering
Dipanshu Panda, Jayden Koshy Joe, Harshith M R, Swathi Narashiman, Pranay Mathur, Anish Veerakumar, Aniruddh Krishna, Keerthiharan A
https://arxiv.org/abs/2506.10225

Fine-Grained control over Music Generation with Activation Steering
We present a method for fine-grained control over music generation through inference-time interventions on an autoregressive generative music transformer called MusicGen. Our approach enables timbre transfer, style transfer, and genre fusion by steering the residual stream using weights of linear probes trained on it, or by steering the attention layer activations in a similar manner. We observe that modelling this as a regression task provides improved performance, hypothesizing that the mean-…

Quadrature Over-the-Air-Computing for Multimodal Dual-Stream Signal Processing
Hyeon Seok Rou, Kengo Ando, Giuseppe Thadeu Freitas de Abreu, David Gonz\'alez G
https://arxiv.org/abs/2507.00508

Quadrature Over-the-Air-Computing for Multimodal Dual-Stream Signal Processing
We propose a novel quadrature over-the-air computing (Q-OTAC) framework that enables the simultaneously computation of two independent functions and/or data stream within a single transmission. In contrast to conventional OTAC schemes, where a single function is computed by treating each complex signal as a single component, the proposed Q-OTAC exploits both in-phase and quadrature (IQ) components of a complex signal, encoding two distinct functions and/or data streams at the edge devices (EDs)…

Stream DaQ: Stream-First Data Quality Monitoring
Vasileios Papastergios, Anastasios Gounaris
https://arxiv.org/abs/2506.06147 https://

Stream DaQ: Stream-First Data Quality Monitoring
Data quality is fundamental to modern data science workflows, where data continuously flows as unbounded streams feeding critical downstream tasks, from elementary analytics to advanced artificial intelligence models. Existing data quality approaches either focus exclusively on static data or treat streaming as an extension of batch processing, lacking the temporal granularity and contextual awareness required for true streaming applications. In this paper, we present a novel data quality monit…

Effects of high-frequency and balanced motions on Lagrangian pair dispersion at the ocean surface
Michael Maalouly, Apolline Dekens, Guillaume Lapeyre, Aur\'elien Luigi Serge Ponte, Stefano Berti
https://arxiv.org/abs/2506.01002

Effects of high-frequency and balanced motions on Lagrangian pair dispersion at the ocean surface
We investigate the properties of relative dispersion of Lagrangian particles in a global-ocean simulation resolving both inertia-gravity waves (IGW) and meso and submesoscale (M/SM) turbulence. More specifically, we test if the dispersion laws depend on the shape of the Eulerian kinetic energy spectrum, as predicted from quasi-geostrophic turbulence theory. To this end, we focus on two areas, in the Kuroshio Extension and in the Gulf Stream, for which the relative importance of IGW compared to …

Differential Attention for Multimodal Crisis Event Analysis
Nusrat Munia, Junfeng Zhu, Olfa Nasraoui, Abdullah-Al-Zubaer Imran
https://arxiv.org/abs/2507.05165

Differential Attention for Multimodal Crisis Event Analysis
Social networks can be a valuable source of information during crisis events. In particular, users can post a stream of multimodal data that can be critical for real-time humanitarian response. However, effectively extracting meaningful information from this large and noisy data stream and effectively integrating heterogeneous data remains a formidable challenge. In this work, we explore vision language models (VLMs) and advanced fusion strategies to enhance the classification of crisis data in…

Vaccine Hesitancy on YouTube: a Competition between Health and Politics
Yelena Mejova, Michele Tizzani
https://arxiv.org/abs/2507.07517 https://

Vaccine Hesitancy on YouTube: a Competition between Health and Politics
YouTube has rapidly emerged as a predominant platform for content consumption, effectively displacing conventional media such as television and news outlets. A part of the enormous video stream uploaded to this platform includes health-related content, both from official public health organizations, and from any individual or group that can make an account. The quality of information available on YouTube is a critical point of public health safety, especially when concerning major interventions…

This https://arxiv.org/abs/2501.16580 has been replaced.
initial toot: https://mastoxiv.page/@ar…

Vortices and backflow in hydrodynamic heat transport
Recent experiments have provided compelling and renewed interest in phonon hydrodynamics. At variance with ordinary diffusive heat transport, this regime is primarily governed by momentum-conserving phonon collisions. At the mesoscopic scale it can be described by the viscous heat equations (VHE), that resemble the Navier-Stokes equations (NSE) in the laminar regime. Here, we show that the VHE can be separated and recast as modified biharmonic equations in the velocity potential and stream func…

All Eyes, no IMU: Learning Flight Attitude from Vision Alone
Jesse J. Hagenaars, Stein Stroobants, Sander M. Bohte, Guido C. H. E. De Croon
https://arxiv.org/abs/2507.11302

All Eyes, no IMU: Learning Flight Attitude from Vision Alone
Vision is an essential part of attitude control for many flying animals, some of which have no dedicated sense of gravity. Flying robots, on the other hand, typically depend heavily on accelerometers and gyroscopes for attitude stabilization. In this work, we present the first vision-only approach to flight control for use in generic environments. We show that a quadrotor drone equipped with a downward-facing event camera can estimate its attitude and rotation rate from just the event stream, e…

Mapping Emotions in the Brain: A Bi-Hemispheric Neural Model with Explainable Deep Learning
David Freire-Obreg\'on, Agnieszka Dubiel, Prasoon Kumar Vinodkumar, Gholamreza Anbarjafari, Dorota Kami\'nska, Modesto Castrill\'on-Santana
https://arxiv.org/abs/2507.12625

Mapping Emotions in the Brain: A Bi-Hemispheric Neural Model with Explainable Deep Learning
Recent advances have shown promise in emotion recognition from electroencephalogram (EEG) signals by employing bi-hemispheric neural architectures that incorporate neuroscientific priors into deep learning models. However, interpretability remains a significant limitation for their application in sensitive fields such as affective computing and cognitive modeling. In this work, we introduce a post-hoc interpretability framework tailored to dual-stream EEG classifiers, extending the Local Interp…

Advances in Small-Footprint Keyword Spotting: A Comprehensive Review of Efficient Models and Algorithms
Soumen Garai, Suman Samui
https://arxiv.org/abs/2506.11169

Advances in Small-Footprint Keyword Spotting: A Comprehensive Review of Efficient Models and Algorithms
Small-Footprint Keyword Spotting (SF-KWS) has gained popularity in today's landscape of smart voice-activated devices, smartphones, and Internet of Things (IoT) applications. This surge is attributed to the advancements in Deep Learning, enabling the identification of predefined words or keywords from a continuous stream of words. To implement the SF-KWS model on edge devices with low power and limited memory in real-world scenarios, a efficient Tiny Machine Learning (TinyML) framework is essen…

Twitch plans to start testing the ability to host a vertical livestream and rolls out an open beta of 2k streaming, letting creators stream at 1440p (Jay Peters/The Verge)
https://www.theverge.com/news/677548/twitch-twitchcon-e…

Twitch is getting vertical livestreams
Twitch is announcing a bunch of updates at TwitchCon Europe, including vertical livestreams and an open beta test that lets creators stream at a higher quality.

This https://arxiv.org/abs/2503.01117 has been replaced.
initial toot: https://mastoxiv.page/@arXi…

Gulf Stream drives Kuroshio behind the recent abnormal ocean warming
Recent unprecedented ocean warming has produced coherent sea surface temperature (SST) anomalies across the Northern Hemisphere extratropics. Despite extensive research on inter-basin interactions, the causal mechanisms linking North Pacific and North Atlantic variability remain poorly understood. Here we show that internal SST variability in the Gulf Stream region accounts for 16% of internal SST variability in the Kuroshio region in climate model simulations, while no significant reverse infl…

The ATLAS Virtual Research Assistant
H. F. Stevance, K. W. Smith, S. J. Smartt, S. J. Roberts, N. Erasmus, D. R. Young, A. Clocchiatti
https://arxiv.org/abs/2506.09778

The ATLAS Virtual Research Assistant
We present the Virtual Research Assistant (VRA) of the ATLAS sky survey which performs preliminary eyeballing on our clean transient data stream. The VRA uses Histogram Based Gradient Boosted Decision Tree Classifiers trained on real data to score incoming alerts on two axes: "Real" and "Galactic". The alerts are then ranked using a geometric distance such that the most "Real" and "Extra-galactic" receive high scores; the scores are updated when new light curve data is obtained on subsequent vi…

Malicious earworms and useful memes, how the far-right surfs on TikTok audio trends
Marloes Geboers, Marcus B\"osch
https://arxiv.org/abs/2506.20695 h…

Malicious earworms and useful memes, how the far-right surfs on TikTok audio trends
With its features of remix, TikTok is the designated platform for meme-making and dissemination. Creative combinations of video, emoji, and filters allow for an endless stream of memes and trends animated by sound. The platform has focused its moderation on upholding physical safety, hence investing in the detection of harmful challenges. In response to the DSA, TikTok implemented opt-outs for personalized feeds and features allowing users to report illegal content. At the same time, the platfo…

Fast Collection Operations from Indexed Stream Fusion
Scott Kovach, Praneeth Kolichala, Kyle A. Miller, David Broman, Fredrik Kjolstad
https://arxiv.org/abs/2507.06456

Fast Collection Operations from Indexed Stream Fusion
We present a system of efficient methods for traversing and combining associative collection data structures. A distinguishing feature of the system is that, like traditional sequential iterator libraries, it does not require specialized compiler infrastructure or staged compilation for efficiency and composability. By using a representation based on indexed streams, the library can express complex joins over input collections while using no intermediate allocations. We implement the library fo…

Accelerating Private Heavy Hitter Detection on Continual Observation Streams
Rayne Holland
https://arxiv.org/abs/2507.03361 https://a…

Accelerating Private Heavy Hitter Detection on Continual Observation Streams
Differentially private frequency estimation and heavy hitter detection are core problems in the private analysis of data streams. Two models are typically considered: the one-pass model, which outputs results only at the end of the stream, and the continual observation model, which requires releasing private summaries at every time step. While the one-pass model allows more efficient solutions, continual observation better reflects scenarios where timely and ongoing insights are critical. In …

A search for extra polarisations using a Gaussian process in Gravitational-Wave Transient Catalogue 3
Shun Yin Cheung, Lachlan Passenger, Paul D. Lasky, Eric Thrane
https://arxiv.org/abs/2507.02335

A search for extra polarisations using a Gaussian process in Gravitational-Wave Transient Catalogue 3
General relativity predicts that gravitational waves are described by two polarisation states: the plus $+$ state and cross $\times$ state. However, alternate theories of gravity allow up to six polarisations. We employ the gravitational-wave null stream, a linear combination of three or more detectors where the $+$ and $\times$ signals add to zero, leaving behind noise and potentially gravitational waves in non-standard polarisation states. We develop a Gaussian process model to search for ext…

Ensemble Modeling of the Solar Wind Flow with Boundary Conditions Governed by Synchronic Photospheric Magnetograms. I. Multi-point Validation in the Inner Heliosphere
Dinesha V. Hegde (Department of Space Science, The University of Alabama in Huntsville, Huntsville, USA, Center for Space Plasma and Aeronomic Research, The University of Alabama in Huntsville, Huntsville, USA), Tae K. Kim (Center for Space Plasma and Aeronomic Research, The University of Alabama in Huntsville, Huntsville…

Ensemble Modeling of the Solar Wind Flow with Boundary Conditions Governed by Synchronic Photospheric Magnetograms. I. Multi-point Validation in the Inner Heliosphere
The solar wind (SW) is a vital component of space weather, providing a background for solar transients such as coronal mass ejections, stream interaction regions, and energetic particles propagating toward Earth. Accurate prediction of space weather events requires a precise description and thorough understanding of physical processes occurring in the ambient SW plasma. Ensemble simulations of the three-dimensional SW flow are performed using an empirically-driven magnetohydrodynamic heliospher…

DELVE-ing into the Milky Way's Globular Clusters: Assessing extra-tidal features in NGC 5897, NGC 7492, and testing detectability with deeper photometry
A. Chiti, K. Tavangar, P. S. Ferguson, J. A. Carballo-Bello, A. M. Senkevich, D. Erkal, A. Drlica-Wagner, A. B. Pace, A. P. Ji, D. J. Sand, G. Limberg, A. Chaturvedi, D. Crnojevi\'c, G. E. Medina, A. H. Riley, N. Shipp, A. K. Vivas, M. Wertheim, Y. Choi, C. E. Mart\'inez-V\'azquez, B. Mutlu-Pakdil, M. Navabi, J. D. Sako…

DELVE-ing into the Milky Way's Globular Clusters: Assessing extra-tidal features in NGC 5897, NGC 7492, and testing detectability with deeper photometry
Extra-tidal features around globular clusters (GCs) are tracers of their disruption, stellar stream formation, and their host's gravitational potential. However, these features remain challenging to detect due to their low surface brightness. We conduct a systematic search for such features around 19 GCs in the DECam Local Volume Exploration (DELVE) survey Data Release 2, discovering a new extra-tidal envelope around NGC 5897 and find tentative evidence for an extended envelope surrounding NGC …

Technosignature Searches with Real-time Alert Brokers
Eleanor M. Gallay, James R. A. Davenport, Steve Croft
https://arxiv.org/abs/2506.14744 https://

Technosignature Searches with Real-time Alert Brokers
We present an exploration of technosignature research that is possible using real-time alert brokers from surveys such as the Zwicky Transient Facility (ZTF) and the upcoming Legacy Survey of Space and Time (LSST). Nine alert brokers currently stream up to 1 million alerts each night from ZTF, and LSST is projected to increase this volume by an order of magnitude. While these brokers are primarily designed to facilitate real-time follow-up of explosive transients such as supernovae, they offer …

Automatic Reviewers Assignment to a Research Paper Based on Allied References and Publications Weight
Tamim Al Mahmud, B M Mainul Hossain, Dilshad Ara
https://arxiv.org/abs/2506.21331

Automatic Reviewers Assignment to a Research Paper Based on Allied References and Publications Weight
Everyday, a vast stream of research documents is submitted to conferences, anthologies, journals, newsletters, annual reports, daily papers, and various periodicals. Many such publications use independent external specialists to review submissions. This process is called peer review, and the reviewers are called referees. However, it is not always possible to pick the best referee for reviewing. Moreover, new research fields are emerging in every sector, and the number of research papers is inc…

Microtubule polymerization generates microtentacles important in circulating tumor cell invasion
Lucina Kainka, Reza Shaebani, Kathi Kaiser, Jonas Bosche, Ludger Santen, Franziska Lautenschl\"ager
https://arxiv.org/abs/2505.18301

Microtubule polymerization generates microtentacles important in circulating tumor cell invasion
Circulating tumor cells (CTCs) have crucial roles in the spread of tumors during metastasis. A decisive step is the extravasation of CTCs from the blood stream or lymph system, which depends on the ability of cells to attach to vessel walls. Recent work suggests that such adhesion is facilitated by microtubule (MT)-based membrane protrusions called microtentacles (McTNs). However, how McTNs facilitate such adhesion and how MTs can generate protrusions in CTCs remain unclear. By combining fluore…

Asynchronous Event Error-Minimizing Noise for Safeguarding Event Dataset
Ruofei Wang, Peiqi Duan, Boxin Shi, Renjie Wan
https://arxiv.org/abs/2507.05728 ht…

Asynchronous Event Error-Minimizing Noise for Safeguarding Event Dataset
With more event datasets being released online, safeguarding the event dataset against unauthorized usage has become a serious concern for data owners. Unlearnable Examples are proposed to prevent the unauthorized exploitation of image datasets. However, it's unclear how to create unlearnable asynchronous event streams to prevent event misuse. In this work, we propose the first unlearnable event stream generation method to prevent unauthorized training from event datasets. A new form of asynchr…

Big Data-Driven Fraud Detection Using Machine Learning and Real-Time Stream Processing
Chen Liu, Hengyu Tang, Zhixiao Yang, Ke Zhou, Sangwhan Cha
https://arxiv.org/abs/2506.02008 …

Big Data-Driven Fraud Detection Using Machine Learning and Real-Time Stream Processing
In the age of digital finance, detecting fraudulent transactions and money laundering is critical for financial institutions. This paper presents a scalable and efficient solution using Big Data tools and machine learning models. We utilize realtime data streaming platforms like Apache Kafka and Flink, distributed processing frameworks such as Apache Spark, and cloud storage services AWS S3 and RDS. A synthetic dataset representing real-world Anti-Money Laundering (AML) challenges is employed t…

Differentially Private Space-Efficient Algorithms for Counting Distinct Elements in the Turnstile Model
Rachel Cummings, Alessandro Epasto, Jieming Mao, Tamalika Mukherjee, Tingting Ou, Peilin Zhong
https://arxiv.org/abs/2505.23682

Differentially Private Space-Efficient Algorithms for Counting Distinct Elements in the Turnstile Model
The turnstile continual release model of differential privacy captures scenarios where a privacy-preserving real-time analysis is sought for a dataset evolving through additions and deletions. In typical applications of real-time data analysis, both the length of the stream $T$ and the size of the universe $|U|$ from which data come can be extremely large. This motivates the study of private algorithms in the turnstile setting using space sublinear in both $T$ and $|U|$. In …

Meteoroid stream identification with HDBSCAN unsupervised clustering algorithm
Eloy Pe\~na-Asensio, Fabio Ferrari
https://arxiv.org/abs/2507.01501 https://…

Meteoroid stream identification with HDBSCAN unsupervised clustering algorithm
Accurate identification of meteoroid streams is central to understanding their origins and evolution. However, overlapping clusters and background noise hinder classification, an issue amplified for missions such as ESA's LUMIO that rely on meteor shower observations to infer lunar meteoroid impact parameters. This study evaluates the performance of the Hierarchical Density-Based Spatial Clustering of Applications with Noise (HDBSCAN) algorithm for unsupervised meteoroid stream identification, …

Sifting for a Stream: The Morphology of the $300S$ Stellar Stream
Benjamin Cohen, Alexander P. Ji, Peter S. Ferguson, Sergey E. Koposov, Alex Drlica-Wagner, Andrew P. Li, Ting S. Li, Lara R. Cullinane, Gary S. Da Costa, Denis Erkal, Kyler Kuehn, Geraint F. Lewis, Sarah L. Martell, Andrew B. Pace, Daniel B. Zucker, Petra Awad, Joss Bland-Hawthorn, Guilherme Limberg, Clara E. Mart\'inez-V\'azquez, Joshua D. Simon, Yong Yang

Sifting for a Stream: The Morphology of the $300S$ Stellar Stream
Stellar streams are sensitive laboratories for understanding the small-scale structure in our Galaxy's gravitational field. Here, we analyze the morphology of the $300S$ stellar stream, which has an eccentric, retrograde orbit and thus could be an especially powerful probe of both baryonic and dark substructures within the Milky Way. Due to extensive background contamination from the Sagittarius stream (Sgr), we perform an analysis combining Dark Energy Camera Legacy Survey photometry, $\textit…

UltrasonicSpheres: Localized, Multi-Channel Sound Spheres Using Off-the-Shelf Speakers and Earables
Michael K\"uttner, Valeria Sitz, Kathrin Gerling, Michael Beigl, Tobias R\"oddiger
https://arxiv.org/abs/2506.02715

UltrasonicSpheres: Localized, Multi-Channel Sound Spheres Using Off-the-Shelf Speakers and Earables
We present a demo ofUltrasonicSpheres, a novel system for location-specific audio delivery using wearable earphones that decode ultrasonic signals into audible sound. Unlike conventional beamforming setups, UltrasonicSpheres relies on single ultrasonic speakers to broadcast localized audio with multiple channels, each encoded on a distinct ultrasonic carrier frequency. Users wearing our acoustically transparent earphones can demodulate their selected stream, such as exhibit narrations in a chos…

Noninvasive precision modulation of high-level neural population activity via natural vision perturbations
Guy Gaziv, Sarah Goulding, Ani Ayvazian-Hancock, Yoon Bai, James J. DiCarlo
https://arxiv.org/abs/2506.05633

Noninvasive precision modulation of high-level neural population activity via natural vision perturbations
Precise control of neural activity -- modulating target neurons deep in the brain while leaving nearby neurons unaffected -- is an outstanding challenge in neuroscience, generally achieved through invasive techniques. This study investigates the possibility of precisely and noninvasively modulating neural activity in the high-level primate ventral visual stream via perturbations on one's natural visual feed. When tested on macaque inferior temporal (IT) neural populations, we found quantitative…

On the Adversarial Robustness of Online Importance Sampling
Yotam Kenneth-Mordoch, Shay Sapir
https://arxiv.org/abs/2507.02394 https://

On the Adversarial Robustness of Online Importance Sampling
This paper studies the adversarial-robustness of importance-sampling (aka sensitivity sampling); a useful algorithmic technique that samples elements with probabilities proportional to some measure of their importance. A streaming or online algorithm is called adversarially-robust if it succeeds with high probability on input streams that may change adaptively depending on previous algorithm outputs. Unfortunately, the dependence between stream elements breaks the analysis of most randomized al…

A validated coupled three-dimensional hydrodynamic and spectral wind-wave model for the western north Atlantic Ocean
Maria Venolia, Reza Marsooli, Jaime R. Calzada
https://arxiv.org/abs/2505.18803

A validated coupled three-dimensional hydrodynamic and spectral wind-wave model for the western north Atlantic Ocean
Wind-wave and ocean current interactions affect critical coastal and oceanic processes, yet modeling these interactions presents significant challenges. The western North Atlantic Ocean provides an ideal test environment for coupled hydrodynamics and wind wave models, thanks to its energetic surface currents such as the Gulf Stream. This study evaluates a high-resolution coupled SCHISM WWM III model, utilizing NOAA's 'STOFS-3D-Atlantic' computational mesh, while incorporating three-dimensional …

Evaluating Pointing Gestures for Target Selection in Human-Robot Collaboration
Noora Sassali, Roel Pieters
https://arxiv.org/abs/2506.22116 https://…

Evaluating Pointing Gestures for Target Selection in Human-Robot Collaboration
Pointing gestures are a common interaction method used in Human-Robot Collaboration for various tasks, ranging from selecting targets to guiding industrial processes. This study introduces a method for localizing pointed targets within a planar workspace. The approach employs pose estimation, and a simple geometric model based on shoulder-wrist extension to extract gesturing data from an RGB-D stream. The study proposes a rigorous methodology and comprehensive analysis for evaluating pointing g…

Multi-agent Auditory Scene Analysis
Caleb Rascon, Luis Gato-Diaz, Eduardo Garc\'ia-Alarc\'on
https://arxiv.org/abs/2507.02755 https://

Multi-agent Auditory Scene Analysis
Auditory scene analysis (ASA) aims to retrieve information from the acoustic environment, by carrying out three main tasks: sound source location, separation, and classification. These tasks are traditionally executed with a linear data flow, where the sound sources are first located; then, using their location, each source is separated into its own audio stream; from each of which, information is extracted that is relevant to the application scenario (audio event detection, speaker identificat…

This https://arxiv.org/abs/2410.17312 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_…

Chemical Abundances in the Leiptr Stellar Stream: A Disrupted Ultra-faint Dwarf Galaxy?
Chemical abundances of stellar streams can be used to determine the nature of a stream's progenitor. Here we study the progenitor of the recently discovered Leiptr stellar stream, which was previously suggested to be a tidally disrupted halo globular cluster. We obtain high-resolution spectra of five red giant branch stars selected from the Gaia DR2 STREAMFINDER catalog with Magellan/MIKE. One star is a clear non-member. The remaining four stars display chemical abundances consistent with those…

Minimizing Ray Tracing Memory Traffic through Quantized Structures and Ray Stream Tracing
Moritz Grauer, Johannes Hanika, Carsten Dachsbacher
https://arxiv.org/abs/2505.24653

Minimizing Ray Tracing Memory Traffic through Quantized Structures and Ray Stream Tracing
Memory bandwidth constraints continue to be a significant limiting factor in ray tracing performance, particularly as scene complexity grows and computational capabilities outpace memory access speeds. This paper presents a memory-efficient ray tracing methodology that integrates compressed data structures with ray stream techniques to reduce memory traffic. The approach implements compressed BVH and triangle representations to minimize acceleration structure size in combination with ray stream…

Online matching on stochastic block model
Maria Cherifa (MAP5, CREST), Cl\'ement Calauz\`enes (CREST), Vianney Perchet (CREST)
https://arxiv.org/abs/2506.04921

Online matching on stochastic block model
While online bipartite matching has gained significant attention in recent years, existing analyses in stochastic settings fail to capture the performance of algorithms on heterogeneous graphs, such as those incorporating inter-group affinities or other social network structures. In this work, we address this gap by studying online bipartite matching within the stochastic block model (SBM). A fixed set of offline nodes is matched to a stream of online arrivals, with connections governed probabi…

IDGraphs: Intrusion Detection and Analysis Using Stream Compositing
Pin Ren, Yan Gao, Zhichun Li, Yan Chen, Benjamin Watson
https://arxiv.org/abs/2506.21425

IDGraphs: Intrusion Detection and Analysis Using Stream Compositing
Traffic anomalies and attacks are commonplace in today's networks and identifying them rapidly and accurately is critical for large network operators. For a statistical intrusion detection system (IDS), it is crucial to detect at the flow-level for accurate detection and mitigation. However, existing IDS systems offer only limited support for 1) interactively examining detected intrusions and anomalies, 2) analyzing worm propagation patterns, 3) and discovering correlated attacks. These problem…