Tootfinder

Personal care products may be toxic to aquatic life, study warns #AnimalRights

Personal care products may be toxic to aquatic life, study warns
You probably know the feeling. It's been a few days since you last washed your hair, and it feels greasy, heavy, and tangled. You hop in the shower and apply a generous amount of shampoo to your hair.

Walter Scott Jr. of The Whispers Dead at 81 After Battle With Cancer
#RIP #TDIM
https://…

Walter Scott Jr. of The Whispers Dead at 81 After Battle With Cancer
Walter Scott's death has been announced. The Whispers member is dead after a cancer battle.

🇺🇦 #NowPlaying on #BBC6Music's #6MusicsJukebox
Naughty by Nature:
🎵 Hip Hop Hooray
#NaughtybyNature
https://djnos.bandcamp.com/track/naughty-by-nature-hip-hop-hooray
https://open.spotify.com/track/1SyQ6t9RdRBK0QUCS6a797

Inference Scaled GraphRAG: Improving Multi Hop Question Answering on Knowledge Graphs
Travis Thompson, Seung-Hwan Lim, Paul Liu, Ruoying He, Dongkuan Xu
https://arxiv.org/abs/2506.19967

Inference Scaled GraphRAG: Improving Multi Hop Question Answering on Knowledge Graphs
Large Language Models (LLMs) have achieved impressive capabilities in language understanding and generation, yet they continue to underperform on knowledge-intensive reasoning tasks due to limited access to structured context and multi-hop information. Retrieval-Augmented Generation (RAG) partially mitigates this by grounding generation in retrieved context, but conventional RAG and GraphRAG methods often fail to capture relational structure across nodes in knowledge graphs. We introduce Infere…

This https://arxiv.org/abs/2504.07472 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csSE_…

HACMony: Automatically Detecting Hopping-related Audio-stream Conflict Issues on HarmonyOS
HarmonyOS is emerging as a popular distributed operating system for diverse mobile devices. One of its standout features is app-hopping, which allows users to seamlessly transition apps across different HarmonyOS devices. However, when apps playing audio streams hop between devices, they can easily trigger Hopping-related Audio-stream Conflict (HAC) scenarios. Improper resolution of HAC will lead to significant HAC issues, which are harder to detect compared to single-device audio-stream confli…

Missing #TNC25 already?
We definitely had a tough time stepping off the rollercoaster 🎢 But all the connections, the chats, the ideas, the hugs, the insights and the energy of yet another incredible TNC week are still with us ❤️
🎠 Hop back for another ride and relive some of the TNC25 highlights by watching this recap video produced by our friends at PCSS.
And don't forget to ma…

I think something that people misunderstand about new technology FOMO is that it's not enough to just be an early adopter.
If you just hop on the bandwagon without understanding the technology and its limitations, you won't be the next Amazon, you'll be the next Pets.com.
You have to be earlier than most and understand better than most.

Hop-Decorate: An Automated Atomistic Workflow for Generating Defect Transport Data in Chemically Complex Materials
Peter Hatton, Blas Pedro Uberuaga, Danny Perez
https://arxiv.org/abs/2506.16835

Hop-Decorate: An Automated Atomistic Workflow for Generating Defect Transport Data in Chemically Complex Materials
Chemically complex materials (CCMs) exhibit extraordinary functional properties but pose significant challenges for atomistic modeling due to their vast configurational heterogeneity. We introduce Hop-Decorate (HopDec), a high-throughput, Python-based atomistic workflow that automates the generation of defect transport data in CCMs. HopDec integrates accelerated molecular dynamics with a novel redecoration algorithm to efficiently sample migration pathways across chemically diverse local enviro…

L'istanza social.linux.pizza non sarebbe stata così veloce senza il nostro fornitore CDN, bunny.net.
Se desideri testare un fornitore CDN davvero affidabile, veloce e flessibile per il tuo sito web o progetto, considera l'utilizzo di questo URL di affiliazione:
https://bunny.net?ref=arpubb037k

Malicious node aware wireless multi hop networks: a systematic review of the literature and recommendations for future research
Shahram Pourdehghan, Nahideh Derakhshanfard
https://arxiv.org/abs/2506.05742

Malicious node aware wireless multi hop networks: a systematic review of the literature and recommendations for future research
Wireless communication provides great advantages that are not available through their wired counterparts such as flexibility, ease of deployment and use, cost reductions, and convenience. Wireless multi-hop networks (WMN) do not have any centralized management infrastructure. Wireless multi-hop networks have many benefits since proposed. In such networks when a node wants to send a packet to a destination where is not in the transmission range, depend on some intermediate nodes. In this type of…

Deep Research Agents: A Systematic Examination And Roadmap
Yuxuan Huang, Yihang Chen, Haozheng Zhang, Kang Li, Meng Fang, Linyi Yang, Xiaoguang Li, Lifeng Shang, Songcen Xu, Jianye Hao, Kun Shao, Jun Wang
https://arxiv.org/abs/2506.18096

Deep Research Agents: A Systematic Examination And Roadmap
The rapid progress of Large Language Models (LLMs) has given rise to a new category of autonomous AI systems, referred to as Deep Research (DR) agents. These agents are designed to tackle complex, multi-turn informational research tasks by leveraging a combination of dynamic reasoning, adaptive long-horizon planning, multi-hop information retrieval, iterative tool use, and the generation of structured analytical reports. In this paper, we conduct a detailed analysis of the foundational technolo…

The squidward and davey jones jokes are of course in full effect
but I 100% unironically *love* this.
more hip-hop shanty style plz
#blackmastodon

🇺🇦 Auf #radioeins läuft...
Crowded House:
🎵 Weather With You
#NowPlaying #CrowdedHouse
https://itsjimmythegent.bandcamp.com/track/crowded-house-weather-with-you-jimmy-the-gents-hip-hop-remix
https://open.spotify.com/track/6tXnRSvuNgOq4QcxpIN54r

On the Age of Information in Single-Server Queues with Aged Updates
Fernando Miguelez, Urtzi Ayesta, Josu Doncel, Maria Dolores Ugarte
https://arxiv.org/abs/2506.19648

On the Age of Information in Single-Server Queues with Aged Updates
The Age of Information (AoI) is a performance metric that quantifies the freshness of data in systems where timely updates are critical. Most state-of-the-art methods typically assume that packets enter the monitored system with zero age, neglecting situations, such as those prevalent in multi-hop networks or distributed sensing, where packets experience prior delays. In this paper, the AoI is investigated when packets have a non-zero initial age. We derive an expression for the average AoI in …

Higher-Order Graph Databases
Maciej Besta, Shriram Chandran, Jakub Cudak, Patrick Iff, Marcin Copik, Robert Gerstenberger, Tomasz Szydlo, J\"urgen M\"uller, Torsten Hoefler
https://arxiv.org/abs/2506.19661

Higher-Order Graph Databases
Recent advances in graph databases (GDBs) have been driving interest in large-scale analytics, yet current systems fail to support higher-order (HO) interactions beyond first-order (one-hop) relations, which are crucial for tasks such as subgraph counting, polyadic modeling, and HO graph learning. We address this by introducing a new class of systems, higher-order graph databases (HO-GDBs) that use lifting and lowering paradigms to seamlessly extend traditional GDBs with HO. We provide a theore…

Optimizing Question Semantic Space for Dynamic Retrieval-Augmented Multi-hop Question Answering
Linhao Ye, Lang Yu, Zhikai Lei, Qin Chen, Jie Zhou, Liang He
https://arxiv.org/abs/2506.00491

Optimizing Question Semantic Space for Dynamic Retrieval-Augmented Multi-hop Question Answering
Retrieval-augmented generation (RAG) is usually integrated into large language models (LLMs) to mitigate hallucinations and knowledge obsolescence. Whereas,conventional one-step retrieve-and-read methods are insufficient for multi-hop question answering, facing challenges of retrieval semantic mismatching and the high cost in handling interdependent subquestions. In this paper, we propose Optimizing Question Semantic Space for Dynamic Retrieval-Augmented Multi-hop Question Answering (Q-DREAM). …

@… hop in losers we’re getting paid per LoC!!!

Georgetown Carnival is lit right now
Middle aged belly-dancers performing to early 2000s hip hop, in between tweens doing circus gymnastics and tweens doing four on the floor grunge and punk

Memento: Note-Taking for Your Future Self
Chao Wan, Albert Gong, Mihir Mishra, Carl-Leander Henneking, Claas Beger, Kilian Q. Weinberger
https://arxiv.org/abs/2506.20642

Memento: Note-Taking for Your Future Self
Large language models (LLMs) excel at reasoning-only tasks, but struggle when reasoning must be tightly coupled with retrieval, as in multi-hop question answering. To overcome these limitations, we introduce a prompting strategy that first decomposes a complex question into smaller steps, then dynamically constructs a database of facts using LLMs, and finally pieces these facts together to solve the question. We show how this three-stage strategy, which we call Memento, can boost the performanc…

Minimum-hop Constellation Design for Low Earth Orbit Satellite Networks
Chirag Rao, Eytan Modiano
https://arxiv.org/abs/2506.11995 https://

Minimum-hop Constellation Design for Low Earth Orbit Satellite Networks
We consider a Low Earth Orbit (LEO) satellite network with each satellite capable of establishing inter-satellite link (ISL) connections for satellite-to-satellite communication. Since ISLs can be reoriented to change the topology, we optimize the topology to minimize the average shortest path length (ASPL). We characterize the optimal ASPL ISL topology in two families of topologies, 1) vertex-symmetric in which the ISL connections at a satellite node represent a motif that is repeated at all o…

Superbugs in your shrimp: Deadly colistin-resistance genes ride on imported seafood #AnimalRights

Superbugs in your shrimp: Deadly colistin-resistance genes ride on imported seafood
Colistin, a last-resort antibiotic, is losing its power due to rising resistance—and the culprits might be hiding in your seafood dinner. A University of Georgia research team discovered colistin-resistance genes in bacteria found in imported shrimp and scallops from markets in Atlanta. These genes can hop between bacteria via plasmids, potentially turning once-curable infections into deadly threats.

the hardest 1990s Stereolab album for me to get into is Cobra and Phases Group, and I think it's because "Infinity Girl" and "Op Hop Detonation" sound so much like songs they made previously. it trips me up, like I'm listening to a remix with new lyrics. other than that it's a fine album

Backpressure-based Mean-field Type Game for Scheduling in Multi-Hop Wireless Sensor Networks
Salah Eddine Choutri, Boualem Djehiche, Prajwal Chauhan, Saif Eddin Jabari
https://arxiv.org/abs/2506.03059

Backpressure-based Mean-field Type Game for Scheduling in Multi-Hop Wireless Sensor Networks
We propose a Mean-Field Type Game (MFTG) framework for effective scheduling in multi-hop wireless sensor networks (WSNs) using backpressure as a performance criterion. Traditional backpressure algorithms leverage queue differentials to regulate data flow and maintain network stability. In this work, we extend the backpressure framework by incorporating a mean-field term into the cost functional, capturing the global behavior of the system alongside local dynamics. The resulting model utilizes t…

Dies wäre ja ein Ereignis, zu dem ich humpeln würde, aber noch bin ich im "need to take it slow"-Modus.
https://www.derstandard.at/story/3000000271636/dope-beats-und-bauchkraulen-urbs-cutex-veroef…

Dope-Beats und Bauchkraulen: Urbs & Cutex veröffentlichen ein neues Album
"On Our Way" heißt das Comebackalbum des Wiener Duos, das sich in der Hip-Hop- und Dope-Beats-Szene der 1990er formiert hat. Die beiden können es immer noch

Trump's Education Secretary mocked after critics spot embarrassing grammatical errors in threatening letter to Harvard
https://www.dailymail.co.uk/news/article-14685541/Trump-Education-Secretary-critics-spot-e…

Faster negative length shortest paths by bootstrapping hop reducers
Yufan Huang, Peter Jin, Kent Quanrud
https://arxiv.org/abs/2506.00428 https://

Faster negative length shortest paths by bootstrapping hop reducers
The textbook algorithm for real-weighted single-source shortest paths takes $O(m n)$ time on a graph with $m$ edges and $n$ vertices. The breakthrough algorithm by Fineman [Fin24] takes $\tilde{O}(m n^{8/9})$ randomized time. The running time was subsequently improved to $\tilde{O}(mn^{4/5})$ [HJQ25]. We build on [Fin24; HJQ25] to obtain an $\tilde{O}(m n^{3/4} + m^{4/5} n)$ randomized running time. (Equivalently, $\tilde{O}(mn^{3/4})$ for $m \geq n^{5/4}$, and $\tilde{O}(m^{4/5} n)$ for $m \…

RAGtifier: Evaluating RAG Generation Approaches of State-of-the-Art RAG Systems for the SIGIR LiveRAG Competition
Tim Cofala, Oleh Astappiev, William Xion, Hailay Teklehaymanot
https://arxiv.org/abs/2506.14412

RAGtifier: Evaluating RAG Generation Approaches of State-of-the-Art RAG Systems for the SIGIR LiveRAG Competition
Retrieval-Augmented Generation (RAG) enriches Large Language Models (LLMs) by combining their internal, parametric knowledge with external, non-parametric sources, with the goal of improving factual correctness and minimizing hallucinations. The LiveRAG 2025 challenge explores RAG solutions to maximize accuracy on DataMorgana's QA pairs, which are composed of single-hop and multi-hop questions. The challenge provides access to sparse OpenSearch and dense Pinecone indices of the Fineweb 10BT dat…

Wishing the GÉANT community a peaceful break for all countries celebrating Easter this weekend! 💐
This year, the White Rabbit 🐰 isn’t just bringing colourful Easter eggs. It’s also delivering learning opportunities!
CERN's learning unit “Introduction to White Rabbit” has now been included in the GÉANT Optical Time & Frequency Networks (OTFN) eAcademy, and it’s the perfect way to hop into the world of precision timing and synchronisation.
🥚 Explore the course here:

This https://arxiv.org/abs/2505.22240 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCL_…

BioHopR: A Benchmark for Multi-Hop, Multi-Answer Reasoning in Biomedical Domain
Biomedical reasoning often requires traversing interconnected relationships across entities such as drugs, diseases, and proteins. Despite the increasing prominence of large language models (LLMs), existing benchmarks lack the ability to evaluate multi-hop reasoning in the biomedical domain, particularly for queries involving one-to-many and many-to-many relationships. This gap leaves the critical challenges of biomedical multi-hop reasoning underexplored. To address this, we introduce BioHopR,…

🇺🇦 #NowPlaying on KEXP's #StreetSounds
Lil Wayne:
🎵 Hip-Hop
#LilWayne
https://swimswim1.bandcamp.com/track/fuck-lil-wayne-real-hiphop-feat-acidgvrl

Dynamic Space Filling
P. L. Krapivsky
https://arxiv.org/abs/2506.01128 https://arxiv.org/pdf/2506.01128

Dynamic Space Filling
Dynamic space filling (DSF) is a stochastic process defined on any connected graph. Each vertex can host an arbitrary number of particles forming a pile, with every arriving particle landing on the top of the pile. Particles in a pile, except for the particle at the bottom, can hop to neighboring vertices. Eligible particles hop independently and stochastically, with the overall hopping rate set to unity for every eligible particle at every vertex. When the number of vertices in a graph is equa…

🇺🇦 #NowPlaying on #BBC6Music's #CraigCharles
dead prez:
🎵 Hip Hop
#deadprez
https://zeplinn.bandcamp.com/track/dead-prez-hip-hop-zeplinn-remix
https://open.spotify.com/track/2HoDr1yVksl19omOhc1zWy

Hierarchical Lexical Graph for Enhanced Multi-Hop Retrieval
Abdellah Ghassel, Ian Robinson, Gabriel Tanase, Hal Cooper, Bryan Thompson, Zhen Han, Vassilis N. Ioannidis, Soji Adeshina, Huzefa Rangwala
https://arxiv.org/abs/2506.08074

Hierarchical Lexical Graph for Enhanced Multi-Hop Retrieval
Retrieval-Augmented Generation (RAG) grounds large language models in external evidence, yet it still falters when answers must be pieced together across semantically distant documents. We close this gap with the Hierarchical Lexical Graph (HLG), a three-tier index that (i) traces every atomic proposition to its source, (ii) clusters propositions into latent topics, and (iii) links entities and relations to expose cross-document paths. On top of HLG we build two complementary, plug-and-play ret…

Latency Optimization for Wireless Federated Learning in Multihop Networks
Shaba Shaon, Van-Dinh Nguyen, Dinh C. Nguyen
https://arxiv.org/abs/2506.12081 htt…

Latency Optimization for Wireless Federated Learning in Multihop Networks
In this paper, we study a novel latency minimization problem in wireless federated learning (FL) across multi-hop networks. The system comprises multiple routes, each integrating leaf and relay nodes for FL model training. We explore a personalized learning and adaptive aggregation-aware FL (PAFL) framework that effectively addresses data heterogeneity across participating nodes by harmonizing individual and collective learning objectives. We formulate an optimization problem aimed at minimizin…

Anomalous current fluctuations and mobility-driven clustering
Tanmoy Chakraborty, Punyabrata Pradhan
https://arxiv.org/abs/2506.00949 https://

Anomalous current fluctuations and mobility-driven clustering
We study steady-state current fluctuations in hardcore lattice gases on a ring of $L$ sites, where $N$ particles perform symmetric, {\it extended-ranged} hopping. The hop length is a random variable depending on a length scale $l_0$ (hopping range) and the inter-particle gap. The systems have mass-conserving dynamics with global density $ρ= N/L$ fixed, but violate detailed balance. We consider two analytically tractable cases: (i) $l_0 = 2$ (finite-ranged) and (ii) $l_0 \to \infty$ (infinite-r…

This https://arxiv.org/abs/2503.14418 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_ees…

Distributed RISE-based Control for Exponential Heterogeneous Multi-Agent Target Tracking of Second-Order Nonlinear Systems
A distributed implementation of a Robust Integral of the Sign of the Error (RISE) controller is developed for multi-agent target tracking problems with exponential convergence guarantees. Previous RISE-based approaches for multi-agent systems required 2-hop communication, limiting practical applicability. New insights from a Lyapunov-based design-analysis approach are used to eliminate the need for multi-hop communication required in previous literature, while yielding exponential target tracki…

🇺🇦 #NowPlaying on #BBC6Music's #LaurenLaverne
dead prez:
🎵 Hip Hop
#deadprez
https://zeplinn.bandcamp.com/track/dead-prez-hip-hop-zeplinn-remix
https://open.spotify.com/track/2HoDr1yVksl19omOhc1zWy

This https://arxiv.org/abs/2504.08756 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csIR_…

MHTS: Multi-Hop Tree Structure Framework for Generating Difficulty-Controllable QA Datasets for RAG Evaluation
Existing RAG benchmarks often overlook query difficulty, leading to inflated performance on simpler questions and unreliable evaluations. A robust benchmark dataset must satisfy three key criteria: quality, diversity, and difficulty, which capturing the complexity of reasoning based on hops and the distribution of supporting evidence. In this paper, we propose MHTS (Multi-Hop Tree Structure), a novel dataset synthesis framework that systematically controls multi-hop reasoning complexity by leve…

iQUEST: An Iterative Question-Guided Framework for Knowledge Base Question Answering
Shuai Wang, Yinan Yu
https://arxiv.org/abs/2506.01784 https://

iQUEST: An Iterative Question-Guided Framework for Knowledge Base Question Answering
While Large Language Models (LLMs) excel at many natural language processing tasks, they often suffer from factual inaccuracies in knowledge-intensive scenarios. Integrating external knowledge resources, particularly knowledge graphs (KGs), provides a transparent and updatable foundation for more reliable reasoning. Knowledge Base Question Answering (KBQA), which queries and reasons over KGs, is central to this effort, especially for complex, multi-hop queries. However, multi-hop reasoning pose…

Knowledge Compression via Question Generation: Enhancing Multihop Document Retrieval without Fine-tuning
Anvi Alex Eponon, Moein Shahiki-Tash, Ildar Batyrshin, Christian E. Maldonado-Sifuentes, Grigori Sidorov, Alexander Gelbukh
https://arxiv.org/abs/2506.13778

Knowledge Compression via Question Generation: Enhancing Multihop Document Retrieval without Fine-tuning
This study presents a question-based knowledge encoding approach that improves retrieval-augmented generation (RAG) systems without requiring fine-tuning or traditional chunking. We encode textual content using generated questions that span the lexical and semantic space, creating targeted retrieval cues combined with a custom syntactic reranking method. In single-hop retrieval over 109 scientific papers, our approach achieves a Recall@3 of 0.84, outperforming traditional chunking methods by …

Age of Information in Unreliable Tandem Queues
Muthukrishnan Senthilkumar, Aresh Dadlani, Hina Tabassum
https://arxiv.org/abs/2506.09245 https://

Age of Information in Unreliable Tandem Queues
Stringent demands for timely information delivery, driven by the widespread adoption of real-time applications and the Internet of Things, have established the age of information (AoI) as a critical metric for quantifying data freshness. Existing AoI models often assume multi-hop communication networks with fully reliable nodes, which may not accurately capture scenarios involving node transmission failures. This paper presents an analytical framework for two configurations of tandem queue syst…

This https://arxiv.org/abs/2506.04907 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCL_…

Verbose ListOps (VLO): Beyond Long Context -- Unmasking LLM's Reasoning Blind Spots
Large Language Models (LLMs), whilst great at extracting facts from text, struggle with nested narrative reasoning. Existing long context and multi-hop QA benchmarks inadequately test this, lacking realistic distractors or failing to decouple context length from reasoning complexity, masking a fundamental LLM limitation. We introduce Verbose ListOps, a novel benchmark that programmatically transposes ListOps computations into lengthy, coherent stories. This uniquely forces internal computation …

Hey nerds, I'm toying around running #wireguard -go via docker. I'm pretty close, but can't figure out what's going wrong with final hop.
I can see packets on bridge / veth from remote peer going in to container network namespace but nothing reaches the wireguard adapter running inside the container. I'm not getting an auth error from endpoint on peer.
Any su…

fun fact: It's faster to drive to Ottawa from Vancouver than take the train (also alot cheaper for more than 1 person) 🙄 North America is so stoopid #stupid #NorthAmericaIsStupid #Trains
For fun if you're interested: Here's a rough breakdown of options to get one or two or 4 people across Canada and back from Port Alberni, BC on Vancouver Island to Ottawa Ontario in as quick and cheap as possible.
This is a 9900km round trip, so it's not like it's a hop skip jump :)
#planning #travel

TongSearch-QR: Reinforced Query Reasoning for Retrieval
Xubo Qin, Jun Bai, Jiaqi Li, Zixia Jia, Zilong Zheng
https://arxiv.org/abs/2506.11603 https://

TongSearch-QR: Reinforced Query Reasoning for Retrieval
Traditional information retrieval (IR) methods excel at textual and semantic matching but struggle in reasoning-intensive retrieval tasks that require multi-hop inference or complex semantic understanding between queries and documents. One promising solution is to explicitly rewrite or augment queries using large language models (LLMs) to elicit reasoning-relevant content prior to retrieval. However, the widespread use of large-scale language models like GPT-4 or LLaMA3-70B remains impractical …

This https://arxiv.org/abs/2502.09304 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csIR_…

KET-RAG: A Cost-Efficient Multi-Granular Indexing Framework for Graph-RAG
Graph-RAG constructs a knowledge graph from text chunks to improve retrieval in Large Language Model (LLM)-based question answering. It is particularly useful in domains such as biomedicine, law, and political science, where retrieval often requires multi-hop reasoning over proprietary documents. Some existing Graph-RAG systems construct KNN graphs based on text chunk relevance, but this coarse-grained approach fails to capture entity relationships within texts, leading to sub-par retrieval and…