Tootfinder

Analysis: YC picked just four Indian startups in 2024 vs. 66 in 2021, amid a growing trend of startups shifting their parent entities to India for domestic IPOs (The Economic Times)
https://economictimes.…

From 66 to 4: Why Y Combinator backed fewer Indian startups in 2024
Y Combinator's selection of Indian startups has decreased significantly. This decline is attributed to factors like YC's US incorporation requirement and the rise of domestic IPOs. Indian startups are shifting focus to local funding options. They find domestic markets favorable for listing. YC is also prioritizing AI-focused startups. This shift impacts Indian participation. Domestic capital is growing with regulatory support.

Quote post permutations.
- Docs on quote states: https://docs.joinmastodon.org/entities/Quote/#state
- Related PR: https://

NFL, Genius Sports extend, expand data deal https://www.espn.com/nfl/story/_/id/45493514/nfl-extends-expands-exclusive-data-deal-genius-sports

Syntactic Effectful Realizability in Higher-Order Logic
Liron Cohen (BGU), Ariel Grunfeld (BGU), Dominik Kirst (PICUBE), \'Etienne Miquey (I2M)
https://arxiv.org/abs/2506.09458

Syntactic Effectful Realizability in Higher-Order Logic
Realizability interprets propositions as specifications for computational entities in programming languages. Specifically, syntactic realizability is a powerful machinery that handles realizability as a syntactic translation of propositions into new propositions that describe what it means to realize the input proposition. This paper introduces EffHOL (Effectful Higher-Order Logic), a novel framework that expands syntactic realizability to uniformly support modern programming paradigms with sid…

A Survey of Link Prediction in N-ary Knowledge Graphs
Jiyao Wei, Saiping Guan, Da Li, Xiaolong Jin, Jiafeng Guo, Xueqi Cheng
https://arxiv.org/abs/2506.08970

A Survey of Link Prediction in N-ary Knowledge Graphs
N-ary Knowledge Graphs (NKGs) are a specialized type of knowledge graph designed to efficiently represent complex real-world facts. Unlike traditional knowledge graphs, where a fact typically involves two entities, NKGs can capture n-ary facts containing more than two entities. Link prediction in NKGs aims to predict missing elements within these n-ary facts, which is essential for completing NKGs and improving the performance of downstream applications. This task has recently gained significan…

The CPJ has directed a law firm to set up a legal entity in the UK, in part as a precautionary measure against potential Trump EOs targeting American nonprofits (Prashant Rao/Semafor)
https://www.semafor.com/article/06/11/2025

Fearing Trump action, US nonprofits seek shelter in the UK
Several American nonprofits are exploring setting up legal entities in Britain, in part as a precautionary measure against feared executive orders.

dbpedia_all: DBpedia network (v3.6)
A network among all entries in DBpedia, a project that extracts structured information from Wikipedia. Nodes represent entities in DBpedia and an edge connects two entities based on DBpedia's notion of their relatedness. The data is extracted from the version 3.6 of the database.
This network has 3966924 nodes and 13820853 edges.
Tags: Informational, Relatedness, Unweighted, Multigraph

The EU is planning a new, graduated #tax on companies with more than 50 mio Euro revenue, the wires say.
I see a lost #opportunity. They should tax the market capitalization of companies, not their revenue. This would create a direct incentive to split up into smaller entities, rather than buy…

The Emotional Alignment Design Policy
Eric Schwitzgebel, Jeff Sebo
https://arxiv.org/abs/2507.06263 https://arxiv.org/pdf/2507.06263

The Emotional Alignment Design Policy
According to what we call the Emotional Alignment Design Policy, artificial entities should be designed to elicit emotional reactions from users that appropriately reflect the entities' capacities and moral status, or lack thereof. This principle can be violated in two ways: by designing an artificial system that elicits stronger or weaker emotional reactions than its capacities and moral status warrant (overshooting or undershooting), or by designing a system that elicits the wrong type of emo…

Dynamic Sub-region Search in Homogeneous Collections Using CLIP
Bastian J\"ackl, Vojt\v{e}ch Kloda, Daniel A. Keim, Jakub Loko\v{c}
https://arxiv.org/abs/2506.09506

Dynamic Sub-region Search in Homogeneous Collections Using CLIP
Querying with text-image-based search engines in highly homogeneous domain-specific image collections is challenging for users, as they often struggle to provide descriptive text queries. For example, in an underwater domain, users can usually characterize entities only with abstract labels, such as corals and fish, which leads to low recall rates. Our work investigates whether recall can be improved by supplementing text queries with position information. Specifically, we explore dynamic image…

The current LLM “focus on anthropomorphic interfaces—just have a chat!—makes them charming, misguides us into attributing more agency and intelligence than they have, which makes it even more challenging for people to control or use them predictably. Sycophancy is one of the many challenges here, for example.”
“Coding assistants, particularly agents, are narrower in their interface, but they build on a similar interaction model. They aim to look like developers, independent entities that can do the actual work.”
7/

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…

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,…

Iranian Cyber Actors May Target Vulnerable US Networks and Entities of Interest (CISA)
https://www.cisa.gov/resources-tools/resources/iranian-cyber-actors-may-target-vulnerable-us-networks-and-entities-interest
http://www.memeorandum.com/250630/p72#a250630p72

This https://arxiv.org/abs/2506.03589 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCV_…

BiMa: Towards Biases Mitigation for Text-Video Retrieval via Scene Element Guidance
Text-video retrieval (TVR) systems often suffer from visual-linguistic biases present in datasets, which cause pre-trained vision-language models to overlook key details. To address this, we propose BiMa, a novel framework designed to mitigate biases in both visual and textual representations. Our approach begins by generating scene elements that characterize each video by identifying relevant entities/objects and activities. For visual debiasing, we integrate these scene elements into the vide…

Financial Times editorial: ”European states must show Israel that its actions bear consequences. They should ban trade with settlements and sanction extremist settler entities. They should halve offensive weapons sales to Israel and sanction ultranationalists in the government …
Finally, they should lead the way in formally recognising a Palestinian state, before there is nothing left to recognise.” #Gaza

Israel is destroying the foundations of a Palestinian state
The Netanyahu government must be held to account over Gaza and the West Bank

A cautionary note about private power, monopolies, and relying on private entities:
https://www.theguardian.com/technology/2025/jun/07/trump-musk-feud-power?CMP=Share_AndroidApp_Other

A cautionary note about private power, monopolies, and relying on private entities:
https://www.theguardian.com/technology/2025/jun/07/trump-musk-feud-power?CMP=Share_AndroidApp_Other

A Theoretical Study of (Hyper) Self-Attention through the Lens of Interactions: Representation, Training, Generalization
Muhammed Ustaomeroglu, Guannan Qu
https://arxiv.org/abs/2506.06179

A Theoretical Study of (Hyper) Self-Attention through the Lens of Interactions: Representation, Training, Generalization
Self-attention has emerged as a core component of modern neural architectures, yet its theoretical underpinnings remain elusive. In this paper, we study self-attention through the lens of interacting entities, ranging from agents in multi-agent reinforcement learning to alleles in genetic sequences, and show that a single layer linear self-attention can efficiently represent, learn, and generalize functions capturing pairwise interactions, including out-of-distribution scenarios. Our analysis r…

US prosecutors charge Iurii Gugnin, founder of US-based crypto payments service Evita Pay, with laundering $500M , including to sanctioned Russian entities (MacKenzie Sigalos/CNBC)
https://www.cnbc.com/2025/06/09/crypto-russia-laundering.html

Crypto CEO accused of laundering $500 million linked to sanctioned Russian banks
The Justice Department says Gugnin maintained ties to Russian intelligence, as well as officials in both Iran and Russia.

Imaging 3D polarization dynamics via deep learning 4D-STEM
Jinho Byun, Keeyong Lee, Myoungho Jeong, Eunha Lee, Jeongil Bang, Haeryong Kim, Geun Ho Gu, Sang Ho Oh
https://arxiv.org/abs/2506.06598

Imaging 3D polarization dynamics via deep learning 4D-STEM
Recent advances in ferroelectrics highlight the role of three-dimensional (3D) polar entities in forming topological polar textures and generating giant electromechanical responses, during polarization rotation. However, current electron microscopy methods lack the depth resolution to resolve the polarization component along the electron beam direction, which restricts full characterization. Here, we present a deep learning framework combined with four-dimensional scanning transmission electron…

Iranian APTs increased activity against US industries in late spring, researchers say https://therecord.media/iran-state-backed-hackers-industrial-attacks-spring-2025

Fast variational knowledge graph embedding
Pulak Ranjan Giri, Mori Kurokawa, Kazuhiro Saito
https://arxiv.org/abs/2507.02472 https://…

Fast variational knowledge graph embedding
Embedding of a knowledge graph(KG) entities and relations in the form of vectors is an important aspect for the manipulation of the KG database for several downstream tasks, such as link prediction, knowledge graph completion, and recommendation. Because of the growing size of the knowledge graph databases, it has become a daunting task for the classical computer to train a model efficiently. Quantum computer can help speedup the embedding process of the KGs by encoding the entities into a vari…

Lightweight Prompt Biasing for Contextualized End-to-End ASR Systems
Bo Ren, Yu Shi, Jinyu Li
https://arxiv.org/abs/2506.06252 https://

Lightweight Prompt Biasing for Contextualized End-to-End ASR Systems
End-to-End Automatic Speech Recognition (ASR) has advanced significantly yet still struggles with rare and domain-specific entities. This paper introduces a simple yet efficient prompt-based biasing technique for contextualized ASR, enhancing recognition accuracy by leverage a unified multitask learning framework. The approach comprises two key components: a prompt biasing model which is trained to determine when to focus on entities in prompt, and a entity filtering mechanism which efficiently…

dbpedia_location: DBpedia entity-location network
A bipartite network of the affiliations between named entities from Wikipedia and particular notable locations, as extracted from Wikipedia by the DBpedia project. The date of this snapshot is uncertain.
This network has 225498 nodes and 293697 edges.
Tags: Informational, Relatedness, Unweighted

FRaN-X: FRaming and Narratives-eXplorer
Artur Muratov, Hana Fatima Shaikh, Vanshikaa Jani, Tarek Mahmoud, Zhuohan Xie, Daniil Orel, Aaryamonvikram Singh, Yuxia Wang, Aadi Joshi, Hasan Iqbal, Ming Shan Hee, Dhruv Sahnan, Nikolaos Nikolaidis, Purifica\c{c}\~ao Silvano, Dimitar Dimitrov, Roman Yangarber, Ricardo Campos, Al\'ipio Jorge, Nuno Guimar\~aes, Elisa Sartori, Nicolas Stefanovitch, Giovanni Da San Martino, Jakub Piskorski, Preslav Nakov

FRaN-X: FRaming and Narratives-eXplorer
We present FRaN-X, a Framing and Narratives Explorer that automatically detects entity mentions and classifies their narrative roles directly from raw text. FRaN-X comprises a two-stage system that combines sequence labeling with fine-grained role classification to reveal how entities are portrayed as protagonists, antagonists, or innocents, using a unique taxonomy of 22 fine-grained roles nested under these three main categories. The system supports five languages (Bulgarian, English, Hindi, R…

Spread the word Canada and #Fediverse citizens everywhere! One of Trump's power grabs is through social media and big tech. The best way to take that power away is to take away power from the likes of Meta, Google and Apple who have far too much control and far too little social responsibility.
The Fediverse is the antidote to some of this. Talk to your MLA, MP, Representative, local politicians, and media. Get them talking about the alternative to platforms run by multinational corporations and foreign entities
#Mastodon #BCPoli #BC
https://socialbc.ca/@chris/114835376077242544

Law of physics: corporate entities are incapable of writing any text containing the phrase 'we are increasing the price'

A Hybrid Mean Field Framework for Aggregators Participating in Wholesale Electricity Markets
Jun He, Andrew L. Liu
https://arxiv.org/abs/2507.03240 https:/…

A Hybrid Mean Field Framework for Aggregators Participating in Wholesale Electricity Markets
The rapid growth of distributed energy resources (DERs), including rooftop solar and energy storage, is transforming the grid edge, where distributed technologies and customer-side systems increasingly interact with the broader power grid. DER aggregators, entities that coordinate and optimize the actions of many small-scale DERs, play a key role in this transformation. This paper presents a hybrid Mean-Field Control (MFC) and Mean-Field Game (MFG) framework for integrating DER aggregators into…

Inaugural MOASEI Competition at AAMAS'2025: A Technical Report
Ceferino Patino, Tyler J. Billings, Alireza Saleh Abadi, Daniel Redder, Adam Eck, Prashant Doshi, Leen-Kiat Soh
https://arxiv.org/abs/2507.05469

Inaugural MOASEI Competition at AAMAS'2025: A Technical Report
We present the Methods for Open Agent Systems Evaluation Initiative (MOASEI) Competition, a multi-agent AI benchmarking event designed to evaluate decision-making under open-world conditions. Built on the free-range-zoo environment suite, MOASEI introduced dynamic, partially observable domains with agent and task openness--settings where entities may appear, disappear, or change behavior over time. The 2025 competition featured three tracks--Wildfire, Rideshare, and Cybersecurity--each highligh…

This https://arxiv.org/abs/2408.00651 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_sta…

A Dirichlet stochastic block model for composition-weighted networks
Network data are observed in various applications where the individual entities of the system interact with or are connected to each other, and often these interactions are defined by their associated strength or importance. Clustering is a common task in network analysis that involves finding groups of nodes displaying similarities in the way they interact with the rest of the network. However, most clustering methods use the strengths of connections between entities in their original form, ig…

Released v0.20.0 of the ha-mqtt-discoverable python module.
This is a pure-python library for creating #MQTT entities that will be automatically detected by #HomeAssistant
Added a 'set_blob' method to the Image class to allow publication of images directly from code. HA will take base64 encoded images directly via MQTT
Details at https://github.com/unixorn/ha-mqtt-discoverable/releases/tag/v0.20.0
@…

Seamless and Efficient Interactions within a Mixed-Dimensional Information Space
Chen Chen
https://arxiv.org/abs/2506.04545 https://a…

Seamless and Efficient Interactions within a Mixed-Dimensional Information Space
Mediated by today's visual displays, information space allows users to discover, access and interact with a wide range of digital and physical information. The information presented in this space may be digital, physical or a blend of both, and appear across different dimensions - such as texts, images, 3D content and physical objects embedded within real-world environment. Navigating within the information space often involves interacting with mixed-dimensional entities, visually represented i…

dbpedia_all: DBpedia network (v3.6)
A network among all entries in DBpedia, a project that extracts structured information from Wikipedia. Nodes represent entities in DBpedia and an edge connects two entities based on DBpedia's notion of their relatedness. The data is extracted from the version 3.6 of the database.
This network has 3966924 nodes and 13820853 edges.
Tags: Informational, Relatedness, Unweighted, Multigraph

Signals as a First-Class Citizen When Querying Knowledge Graphs
Tobias Schwarzinger, Gernot Steindl, Thomas Fr\"uhwirth, Thomas Preindl, Konrad Diwold, Katrin Ehrenm\"uller, Fajar J. Ekaputra
https://arxiv.org/abs/2506.03826

Signals as a First-Class Citizen When Querying Knowledge Graphs
Cyber-Physical Systems (CPSs) tightly integrate computation with physical entities, often generating vast amounts of time series data from thousands of sensors. Although knowledge graphs offer a powerful means to contextualize these data, existing approaches to integrating knowledge graphs with time series data lack a concept to model the continuous temporal values inherent in CPSs. This gap can make expressing computations on the sensor data cumbersome. In this work, we propose the integration…

RoboTwin: A Robotic Teleoperation Framework Using Digital Twins
Harsha Yelchuri, Diwakar Kumar Singh, Nithish Krishnabharathi Gnani, T V Prabhakar, Chandramani Singh
https://arxiv.org/abs/2506.01027

RoboTwin: A Robotic Teleoperation Framework Using Digital Twins
Robotic surgery imposes a significant cognitive burden on the surgeon. This cognitive burden increases in the case of remote robotic surgeries due to latency between entities and thus might affect the quality of surgery. Here, the patient side and the surgeon side are geographically separated by hundreds to thousands of kilometres. Real-time teleoperation of robots requires strict latency bounds for control and feedback. We propose a dual digital twin (DT) framework and explain the simulation e…

Experimental Evaluation of Static Image Sub-Region-Based Search Models Using CLIP
Bastian J\"ackl, Vojt\v{e}ch Kloda, Daniel A. Keim, Jakub Loko\v{c}
https://arxiv.org/abs/2506.06938

Experimental Evaluation of Static Image Sub-Region-Based Search Models Using CLIP
Advances in multimodal text-image models have enabled effective text-based querying in extensive image collections. While these models show convincing performance for everyday life scenes, querying in highly homogeneous, specialized domains remains challenging. The primary problem is that users can often provide only vague textual descriptions as they lack expert knowledge to discriminate between homogenous entities. This work investigates whether adding location-based prompts to complement the…

“i need everyone in the white house press pool to ask karoline leavitt if the president thinks joe biden is a clone or a robot. he can’t be both! we need to know which one he thinks it is.” https://bsky.app/profile/socialistdogmom.bsky.social/post/3lqj7isldfs2y…

Graphs With Polarities
John C. Baez, Adittya Chaudhuri
https://arxiv.org/abs/2506.23375 https://arxiv.org/pdf/2506.23375

Graphs With Polarities
In fields ranging from business to systems biology, directed graphs with edges labeled by signs are used to model systems in a simple way: the nodes represent entities of some sort, and an edge indicates that one entity directly affects another either positively or negatively. Multiplying the signs along a directed path of edges lets us determine indirect positive or negative effects, and if the path is a loop we call this a positive or negative feedback loop. Here we generalize this to graphs …

This https://arxiv.org/abs/2410.00075 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csSI_…

Optimizing Treatment Allocation in the Presence of Interference
In Influence Maximization (IM), the objective is to -- given a budget -- select the optimal set of entities in a network to target with a treatment so as to maximize the total effect. For instance, in marketing, the objective is to target the set of customers that maximizes the total response rate, resulting from both direct treatment effects on targeted customers and indirect, spillover, effects that follow from targeting these customers. Recently, new methods to estimate treatment effects in …

@… as you have gemini diffusion access, does it support structured generation and extraction? I would love to see it resculpt an input text into a extracted list of entities and relationships :) (Still waiting for my access)

Iranian ransomware group offers bigger payouts for attacks on Israel, US https://therecord.media/iran-ransomware-group-pay2keyi2p-israel-us-targets

Consumer Beware! Exploring Data Brokers' CCPA Compliance
Elina van Kempen, Isita Bagayatkar, Pavel Frolikov, Chloe Georgiou, Gene Tsudik
https://arxiv.org/abs/2506.21914

Consumer Beware! Exploring Data Brokers' CCPA Compliance
Data brokers collect and sell the personal information of millions of individuals, often without their knowledge or consent. The California Consumer Privacy Act (CCPA) grants consumers the legal right to request access to, or deletion of, their data. To facilitate these requests, California maintains an official registry of data brokers. However, the extent to which these entities comply with the law is unclear. This paper presents the first large-scale, systematic study of CCPA compliance of…

A Ranking Framework for Network Resource Allocation and Scheduling via Hypergraphs
Rajpreet Singh, Novak Bo\v{s}kov, Aditya Gudal, Manzoor A. Khan
https://arxiv.org/abs/2506.01571

A Ranking Framework for Network Resource Allocation and Scheduling via Hypergraphs
Resource allocation and scheduling are a common problem in various distributed systems. Although widely studied, the state-of-the-art solutions either do not scale or lack the expressive power to capture the most complex instances of the problem. To that end, we present a mathematical framework for hypergraph ranking and analysis, unifying graph theory, lattice theory, and semantic analysis. In our fundamental theorem, we prove the existence of partial order on entities of hypergraphs, extendin…

This https://arxiv.org/abs/2502.16517 has been replaced.
link: https://scholar.google.com/scholar?q=a

Annotation-guided AoS-to-SoA conversions and GPU offloading with data views in C++
The C++ programming language provides classes and structs as fundamental modeling entities. Consequently, C++ code tends to favour array-of-structs (AoS) for encoding data sequences, even though structure-of-arrays (SoA) yields better performance for some calculations. We propose a C++ language extension based on attributes that allows developers to guide the compiler in selecting memory arrangements, i.e.~to select the optimal choice between AoS and SoA dynamically depending on both the execut…

dbpedia_location: DBpedia entity-location network
A bipartite network of the affiliations between named entities from Wikipedia and particular notable locations, as extracted from Wikipedia by the DBpedia project. The date of this snapshot is uncertain.
This network has 225498 nodes and 293697 edges.
Tags: Informational, Relatedness, Unweighted

Spatial Process Mining
Shintaro Yoshizawa, Takayuki Kanai, Masahiro Kagi
https://arxiv.org/abs/2506.06081 https://arxiv.org/pdf/2506.…

Spatial Process Mining
We propose a new framework that focuses on on-site entities in the digital twin, a pairing of the real world and digital space. Characteristics include active sensing to generate event logs, spatial and temporal partitioning of complex processes, and visualization and analysis of processes that can be scaled in space and time. As a specific example, a cell production system is composed of connected manufacturing spaces called cells in a manufacturing process. A cell is sensed by ceiling cameras…

Released 0.19.2 of ha-mqtt-discoverable.
This is a pure-python library for creating #MQTT entities that will be automatically detected by #HomeAssistant
https://github.com/unixorn/ha-mqtt-discoverable/releases
Fixes Select behavior (Thanks mhentschke!)
@…

I tried hunting POTA with five different #HamRadio antenna arrangements while taking a short holiday at the beach over the past few days. I tried the built-in antenna on my KX3, a 20m vertical with radials on a deck, the same vertical with radials stuck with a stake into the top of a sand dune, and two inverted-V 40m end-fed half wave arrangements on a spiderbeam, a north/south and an e…

This https://arxiv.org/abs/2209.01847 has been replaced.
link: https://scholar.google.com/scholar?q=a

Conflict-Aware Pseudo Labeling via Optimal Transport for Entity Alignment
Entity alignment aims to discover unique equivalent entity pairs with the same meaning across different knowledge graphs (KGs). Existing models have focused on projecting KGs into a latent embedding space so that inherent semantics between entities can be captured for entity alignment. However, the adverse impacts of alignment conflicts have been largely overlooked during training, thereby limiting the entity alignment performance. To address this issue, we propose a novel Conflict-aware Pseudo…

This https://arxiv.org/abs/2505.20011 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csAI_…

The Many Challenges of Human-Like Agents in Virtual Game Environments
Human-like agents are an increasingly important topic in games and beyond. Believable non-player characters enhance the gaming experience by improving immersion and providing entertainment. They also offer players the opportunity to engage with AI entities that can function as opponents, teachers, or cooperating partners. Additionally, in games where bots are prohibited -- and even more so in non-game environments -- there is a need for methods capable of identifying whether digital interaction…

Recourse, Repair, Reparation, & Prevention: A Stakeholder Analysis of AI Supply Chains
Aspen K. Hopkins, Isabella Struckman, Kevin Klyman, Susan S. Silbey
https://arxiv.org/abs/2507.02648

Recourse, Repair, Reparation, & Prevention: A Stakeholder Analysis of AI Supply Chains
The AI industry is exploding in popularity, with increasing attention to potential harms and unwanted consequences. In the current digital ecosystem, AI deployments are often the product of AI supply chains (AISC): networks of outsourced models, data, and tooling through which multiple entities contribute to AI development and distribution. AI supply chains lack the modularity, redundancies, or conventional supply chain practices that enable identification, isolation, and easy correction of fai…

UTCS: Effective Unsupervised Temporal Community Search with Pre-training of Temporal Dynamics and Subgraph Knowledge
Yue Zhang, Yankai Chen, Yingli Zhou, Yucan Guo, Xiaolin Han, Chenhao Ma
https://arxiv.org/abs/2506.02784

UTCS: Effective Unsupervised Temporal Community Search with Pre-training of Temporal Dynamics and Subgraph Knowledge
In many real-world applications, the evolving relationships between entities can be modeled as temporal graphs, where each edge has a timestamp representing the interaction time. As a fundamental problem in graph analysis, {\it community search (CS)} in temporal graphs has received growing attention but exhibits two major limitations: (1) Traditional methods typically require predefined subgraph structures, which are not always known in advance. (2) Learning-based methods struggle to capture …

Apache Flink is uniquely positioned to serve as the backbone for AI agents, equipping them with the powerful new tool of stream processing. Join Steffen Hoellinger at this year's Berlin Buzzwords to explore how Flink jobs can be transformed into “Agents”—autonomous, goal-driven entities that dynamically interact with data streams, trigger actions, and adapt their behaviour based on real-time insights.
Learn more:

Designing Visualization Widgets for Tangible Data Exploration: A Systematic Review
Haonan Yao, Lingyun Yu, Lijie Yao
https://arxiv.org/abs/2507.00775 https…

Designing Visualization Widgets for Tangible Data Exploration: A Systematic Review
We present a systematic review on tasks, interactions, and visualization widgets (refer to tangible entities that are used to accomplish data exploration tasks through specific interactions) in the context of tangible data exploration. Tangible widgets have been shown to reduce cognitive load, enable more natural interactions, and support the completion of complex data exploration tasks. Yet, the field lacks a structured understanding of how task types, interaction methods, and widget designs a…

Neural Collapse based Deep Supervised Federated Learning for Signal Detection in OFDM Systems
Kaidi Xu, Shenglong Zhou, Geoffrey Ye Li
https://arxiv.org/abs/2506.19476

Neural Collapse based Deep Supervised Federated Learning for Signal Detection in OFDM Systems
Future wireless networks are expected to be AI-empowered, making their performance highly dependent on the quality of training datasets. However, physical-layer entities often observe only partial wireless environments characterized by different power delay profiles. Federated learning is capable of addressing this limited observability, but often struggles with data heterogeneity. To tackle this challenge, we propose a neural collapse (NC) inspired deep supervised federated learning (NCDSFL) a…

dbpedia_all: DBpedia network (v3.6)
A network among all entries in DBpedia, a project that extracts structured information from Wikipedia. Nodes represent entities in DBpedia and an edge connects two entities based on DBpedia's notion of their relatedness. The data is extracted from the version 3.6 of the database.
This network has 3966924 nodes and 13820853 edges.
Tags: Informational, Relatedness, Unweighted, Multigraph

Hybrid Satellite-Ground Deployments for Web3 DID: System Design and Performance Analysis
Yalin Liu, Zhigang Yan, Bingyuan Luo, Xiaochi Xu, Hong-Ning Dai, Yaru Fu, Bishenghui Tao, Siu-Kei Au Yeung
https://arxiv.org/abs/2507.02305

Hybrid Satellite-Ground Deployments for Web3 DID: System Design and Performance Analysis
The emerging Web3 has great potential to provide worldwide decentralized services powered by global-range data-driven networks in the future. To ensure the security of Web3 services among diverse user entities, a decentralized identity (DID) system is essential. Especially, a user's access request to Web3 services can be treated as a DID transaction within the blockchain, executed through a consensus mechanism. However, a critical implementation issue arises in the current Web3, i.e., how to de…

Investigation: pages affiliated with RT, Sputnik, and other entities remained part of Facebook's ad revenue program months after being subject to EU sanctions (Eliza Gkritsi/Politico)
https://www.politico.eu/article/sanctioned-russian-med…

Sanctioned Russian media still partnered with Facebook
Sanctioned pro-Russian media are still part of Facebook’s advertising revenue program, new research out Friday showed. Russian state broadcasters, including Rossiya Segodnya — the organizatio…

This https://arxiv.org/abs/2502.19030 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csSI_…

Sampling nodes and hyperedges via random walks on large hypergraphs
Hypergraphs provide a fundamental framework for representing complex systems involving interactions among three or more entities. As empirical hypergraphs grow in size, characterizing their structural properties becomes increasingly challenging due to computational complexity and, in some cases, restricted access to complete data, requiring efficient sampling methods. Random walks offer a practical approach to hypergraph sampling, as they rely solely on local neighborhood information from nodes…

BlenderFusion: 3D-Grounded Visual Editing and Generative Compositing
Jiacheng Chen, Ramin Mehran, Xuhui Jia, Saining Xie, Sanghyun Woo
https://arxiv.org/abs/2506.17450

BlenderFusion: 3D-Grounded Visual Editing and Generative Compositing
We present BlenderFusion, a generative visual compositing framework that synthesizes new scenes by recomposing objects, camera, and background. It follows a layering-editing-compositing pipeline: (i) segmenting and converting visual inputs into editable 3D entities (layering), (ii) editing them in Blender with 3D-grounded control (editing), and (iii) fusing them into a coherent scene using a generative compositor (compositing). Our generative compositor extends a pre-trained diffusion model to …

The Future is Agentic: Definitions, Perspectives, and Open Challenges of Multi-Agent Recommender Systems
Reza Yousefi Maragheh, Yashar Deldjoo
https://arxiv.org/abs/2507.02097

The Future is Agentic: Definitions, Perspectives, and Open Challenges of Multi-Agent Recommender Systems
Large language models (LLMs) are rapidly evolving from passive engines of text generation into agentic entities that can plan, remember, invoke external tools, and co-operate with one another. This perspective paper investigates how such LLM agents (and societies thereof) can transform the design space of recommender systems. We introduce a unified formalism that (i) models an individual agent as a tuple comprising its language core, tool set, and hierarchical memory, and (ii) captures a mult…

FinStat2SQL: A Text2SQL Pipeline for Financial Statement Analysis
Quang Hung Nguyen, Phuong Anh Trinh, Phan Quoc Hung Mai, Tuan Phong Trinh
https://arxiv.org/abs/2506.23273

FinStat2SQL: A Text2SQL Pipeline for Financial Statement Analysis
Despite the advancements of large language models, text2sql still faces many challenges, particularly with complex and domain-specific queries. In finance, database designs and financial reporting layouts vary widely between financial entities and countries, making text2sql even more challenging. We present FinStat2SQL, a lightweight text2sql pipeline enabling natural language queries over financial statements. Tailored to local standards like VAS, it combines large and small language models in…

Beyond Leaders and Laggards: A Typology of Renewable Energy Adoption Trajectories with Evidence from Off-Grid Communities
Roni Blushtein-Livnon, Tal Svoray, Itai Ficshhendler, Havatzelet Yanel, Emir Galilee, Michael Dorman
https://arxiv.org/abs/2505.22456

Beyond Leaders and Laggards: A Typology of Renewable Energy Adoption Trajectories with Evidence from Off-Grid Communities
Understanding the dynamics of renewable energy adoption is essential for designing strategies that accelerate its spread - an urgent priority for advancing climate goals and improving well-being, especially in off-grid regions facing energy poverty. This study introduces a time-series-based analytical framework that quantifies and classifies adoption behaviors of geographic entities within a region. A novel metric, the Adoption over Time Index (ATI), captures cumulative adoption intensity and i…

Capsule Network-Based Semantic Intent Modeling for Human-Computer Interaction
Shixiao Wang, Yifan Zhuang, Runsheng Zhang, Zhijun Song
https://arxiv.org/abs/2507.00540

Capsule Network-Based Semantic Intent Modeling for Human-Computer Interaction
This paper proposes a user semantic intent modeling algorithm based on Capsule Networks to address the problem of insufficient accuracy in intent recognition for human-computer interaction. The method represents semantic features in input text through a vectorized capsule structure. It uses a dynamic routing mechanism to transfer information across multiple capsule layers. This helps capture hierarchical relationships and part-whole structures between semantic entities more effectively. The mod…

dbpedia_location: DBpedia entity-location network
A bipartite network of the affiliations between named entities from Wikipedia and particular notable locations, as extracted from Wikipedia by the DBpedia project. The date of this snapshot is uncertain.
This network has 225498 nodes and 293697 edges.
Tags: Informational, Relatedness, Unweighted

GXJoin: Generalized Cell Transformations for Explainable Joinability
Soroush Omidvartehrani, Arash Dargahi Nobari, Davood Rafiei
https://arxiv.org/abs/2505.21860

GXJoin: Generalized Cell Transformations for Explainable Joinability
Describing real-world entities can vary across different sources, posing a challenge when integrating or exchanging data. We study the problem of joinability under syntactic transformations, where two columns are not equi-joinable but can become equi-joinable after some transformations. Discovering those transformations is a challenge because of the large space of possible candidates, which grows with the input length and the number of rows. Our focus is on the generality of transformations, ai…

A Survey of LLM-Driven AI Agent Communication: Protocols, Security Risks, and Defense Countermeasures
Dezhang Kong, Shi Lin, Zhenhua Xu, Zhebo Wang, Minghao Li, Yufeng Li, Yilun Zhang, Zeyang Sha, Yuyuan Li, Changting Lin, Xun Wang, Xuan Liu, Muhammad Khurram Khan, Ningyu Zhang, Chaochao Chen, Meng Han
https://arxiv.org/abs/2506…

A Survey of LLM-Driven AI Agent Communication: Protocols, Security Risks, and Defense Countermeasures
In recent years, Large-Language-Model-driven AI agents have exhibited unprecedented intelligence, flexibility, and adaptability, and are rapidly changing human production and lifestyle. Nowadays, agents are undergoing a new round of evolution. They no longer act as an isolated island like LLMs. Instead, they start to communicate with diverse external entities, such as other agents and tools, to collectively perform more complex tasks. Under this trend, agent communication is regarded as a found…

Avatars and Environments for Meetings in Social VR: What Styles and Choices Matter to People in Group Creativity Tasks?
Anya Osborne, Sabrina Fielder, Lee Taber, Tara Lamb, Joshua McVeigh-Schultz, Katherine Isbister
https://arxiv.org/abs/2506.21780

Avatars and Environments for Meetings in Social VR: What Styles and Choices Matter to People in Group Creativity Tasks?
Due to the COVID-19 pandemic, many professional entities shifted toward remote collaboration and video conferencing (VC) tools. Social virtual reality (VR) platforms present an alternative to VC for meetings and collaborative activities. Well-crafted social VR environments could enhance feelings of co-presence and togetherness at meetings, helping reduce the need for carbon-intensive travel to face-to-face meetings. This research contributes to creating meeting tools in VR by exploring the effe…

Quasiclassical electron transport in topological Weyl semimetals
Azaz Ahmad
https://arxiv.org/abs/2506.12120 https://arxiv.org/pdf/25…

Quasiclassical electron transport in topological Weyl semimetals
Weyl fermions are powerful yet simple entities that connect geometry, topology, and physics. While their existence as fundamental particles is still uncertain, growing evidence shows they emerge as quasiparticles in special materials called Weyl semimetals (WSMs). These materials possess unique electronic properties and hold promise for future technologies. This thesis investigates how electrons behave in WSMs, focusing on the chiral anomaly (CA). The CA remains central in condensed matter phys…

A Survey on Autonomy-Induced Security Risks in Large Model-Based Agents
Hang Su, Jun Luo, Chang Liu, Xiao Yang, Yichi Zhang, Yinpeng Dong, Jun Zhu
https://arxiv.org/abs/2506.23844

A Survey on Autonomy-Induced Security Risks in Large Model-Based Agents
Recent advances in large language models (LLMs) have catalyzed the rise of autonomous AI agents capable of perceiving, reasoning, and acting in dynamic, open-ended environments. These large-model agents mark a paradigm shift from static inference systems to interactive, memory-augmented entities. While these capabilities significantly expand the functional scope of AI, they also introduce qualitatively novel security risks - such as memory poisoning, tool misuse, reward hacking, and emergent mi…

phylo2vec: a library for vector-based phylogenetic tree manipulation
Neil Scheidwasser, Ayush Nag, Matthew J Penn, Anthony MV Jakob, Frederik M{\o}lkj{\ae}r Andersen, Mark P Khurana, Landung Setiawan, Madeline Gordon, David A Duch\^ene, Samir Bhatt
https://arxiv.org/abs/2506.19490

phylo2vec: a library for vector-based phylogenetic tree manipulation
Phylogenetics is a fundamental component of many analysis frameworks in biology as well as linguistics to study the evolutionary relationships of different entities. Recently, the advent of large-scale genomics and the SARS-CoV-2 pandemic has underscored the necessity for phylogenetic software to handle large datasets of genomes or phylogenetic trees. While significant efforts have focused on scaling optimisation algorithms, visualization, and lineage identification, an emerging body of researc…

dbpedia_location: DBpedia entity-location network
A bipartite network of the affiliations between named entities from Wikipedia and particular notable locations, as extracted from Wikipedia by the DBpedia project. The date of this snapshot is uncertain.
This network has 225498 nodes and 293697 edges.
Tags: Informational, Relatedness, Unweighted

This https://arxiv.org/abs/2502.09891 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csIR_…

ArchRAG: Attributed Community-based Hierarchical Retrieval-Augmented Generation
Retrieval-Augmented Generation (RAG) has proven effective in integrating external knowledge into large language models (LLMs) for solving question-answer (QA) tasks. The state-of-the-art RAG approaches often use the graph data as the external data since they capture the rich semantic information and link relationships between entities. However, existing graph-based RAG approaches cannot accurately identify the relevant information from the graph and also consume large numbers of tokens in the o…

This https://arxiv.org/abs/2308.15556 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csSI_…

Outgroup Animosity Has Risen for Politicians, Journalists, and a Sample of Partisan Users on Twitter and Reddit
Using language models, we analyze a sample of 67 million tweets and 30 million Reddit comments referencing a set of 215 political entities from 2010-2023 from partisan users, journalists, and politicians. Our analysis indicates outgroup animosity has increased consistently in our sample, with newer cohorts of users expressing higher levels of animosity than previous ones. Moreover, a small fraction of users are responsible for a disproportionate share of this negative content. We observe system…

Pairing particles into holonomies
Vera Neef, Matthias Heinrich, Tom A. W. Wolterink, Alexander Szameit
https://arxiv.org/abs/2506.13442 https://

Pairing particles into holonomies
Holonomies are of great interest to quantum computation and simulation. The geometrical nature of these entities offers increased stability to quantum gates. Furthermore, symmetries of particle physics are naturally reflected in holonomies, making them ideally suited for quantum simulation of quantum chromodynamics and grand unified theories. Yet, practically designing quantum holonomies with the required properties and scale is challenging. Here, we construct a new class of holonomies by incre…

US defense firms must ‘remain vigilant’ against Iranian cyber activity, agencies warn https://therecord.media/defense-vigilant-cyber-iran-israel

Memory as a Service (MaaS): Rethinking Contextual Memory as Service-Oriented Modules for Collaborative Agents
Haichang Li
https://arxiv.org/abs/2506.22815 …

Memory as a Service (MaaS): Rethinking Contextual Memory as Service-Oriented Modules for Collaborative Agents
This position paper aims to rethink the role and design of memory in Large Language Model (LLM)-based agent systems. We observe that while current memory practices have begun to transcend the limitations of single interactions, they remain conceptually grounded in "bound memory" in terms of design concept-where memory is treated as local state attached to specific context or entities, forming "memory silos" that impede cross-entity collaboration. To overcome this architectural bottleneck, this …

Condensed Representation of RDF and its Application on Graph Versioning
Jey Puget Gil, Emmanuel Coquery, John Samuel, Gilles Gesquiere
https://arxiv.org/abs/2506.21203

Condensed Representation of RDF and its Application on Graph Versioning
The study of the evolving phenomena in a domain helps to understand the relationships between entities at different points in time and predict future trends. These phenomena, often complex, can be represented using knowledge graphs, which have the capability to model heterogeneous data from multiple sources. Nowadays, a considerable amount of sources delivering periodic updates to knowledge graphs in various domains is openly available. The evolution of data is of interest to knowledge graph ma…

Viral Dark Matter: Illuminating Protein Function, Ecology, and Biotechnological Promises
James C. Kosmopoulos, Karthik Anantharaman
https://arxiv.org/abs/2506.11942

Viral Dark Matter: Illuminating Protein Function, Ecology, and Biotechnological Promises
Viruses are the most abundant biological entities on Earth and play central roles in shaping microbiomes and influencing ecosystem functions. Yet, most viral genes remain uncharacterized, comprising what is commonly referred to as "viral dark matter." Metagenomic studies across diverse environments consistently show that 40-90% of viral genes lack known homologs or annotated functions. This persistent knowledge gap limits our ability to interpret viral sequence data, understand virus-host inter…

dbpedia_location: DBpedia entity-location network
A bipartite network of the affiliations between named entities from Wikipedia and particular notable locations, as extracted from Wikipedia by the DBpedia project. The date of this snapshot is uncertain.
This network has 225498 nodes and 293697 edges.
Tags: Informational, Relatedness, Unweighted

Intelligent Automation for FDI Facilitation: Optimizing Tariff Exemption Processes with OCR And Large Language Models
Muhammad Sukri Bin Ramli
https://arxiv.org/abs/2506.12093

Intelligent Automation for FDI Facilitation: Optimizing Tariff Exemption Processes with OCR And Large Language Models
Tariff exemptions are fundamental to attracting Foreign Direct Investment (FDI) into the manufacturing sector, though the associated administrative processes present areas for optimization for both investing entities and the national tax authority. This paper proposes a conceptual framework to empower tax administration by leveraging a synergistic integration of Optical Character Recognition (OCR) and Large Language Model (LLM) technologies. The proposed system is designed to first utilize OCR …

Life cycle assessment tools for road design: analysing linearity assumptions
Nikolaos Kalyviotis
https://arxiv.org/abs/2506.13896 https://

Life cycle assessment tools for road design: analysing linearity assumptions
Road infrastructure significantly impacts how people move and live and the emissions associated with travel behaviour. The design of roads is crucial in mitigating emissions. This paper reviews existing transport life cycle assessment tools that have been developed by various entities and can be used for roads. The review focuses on data sources used in the analysis, methods of estimating carbon dioxide emissions, the underlying software that is used to make the estimates, and any limitations o…

dbpedia_country: Person-Country Affiliations (DBpedia, 2016)
A bipartite network of the affiliations between notable people and countries of the world, as extracted from Wikipedia via the DBpedia project. Countries include former countries, empires, kingdoms, and some country-like entities.
This network has 592414 nodes and 637134 edges.
Tags: Social, Affiliation, Unweighted

PMF-CEC: Phoneme-augmented Multimodal Fusion for Context-aware ASR Error Correction with Error-specific Selective Decoding
Jiajun He, Tomoki Toda
https://arxiv.org/abs/2506.11064 …

PMF-CEC: Phoneme-augmented Multimodal Fusion for Context-aware ASR Error Correction with Error-specific Selective Decoding
End-to-end automatic speech recognition (ASR) models often struggle to accurately recognize rare words. Previously, we introduced an ASR postprocessing method called error detection and context-aware error correction (ED-CEC), which leverages contextual information such as named entities and technical terms to improve the accuracy of ASR transcripts. Although ED-CEC achieves a notable success in correcting rare words, its accuracy remains low when dealing with rare words that have similar pronu…

dbpedia_country: Person-Country Affiliations (DBpedia, 2016)
A bipartite network of the affiliations between notable people and countries of the world, as extracted from Wikipedia via the DBpedia project. Countries include former countries, empires, kingdoms, and some country-like entities.
This network has 592414 nodes and 637134 edges.
Tags: Social, Affiliation, Unweighted

What will future historians write of this time when so much of the world is so complicit in Israel's genocide of Palestinians.
So many “human rights supporting" parties, governments, and other entities so terrified of upsetting lobbyists or of appearing “anti-semitic" while allowing what will undoubtedly be one of the greatest human disasters in modern history.
Like Rwanda, it will be a stain that will not be washed away easily.
#Palestine #Gaza #Genocide #Israel #BDS #Apartheid #CanPoli