Tootfinder

Secretary of State Marco Rubio is pushing to 🆘 investigate whether Harvard University violated federal sanctions by collaborating on a health insurance conference in China that may have included officials blacklisted by the U.S. government.
Rubio signed off on a recommendation to the Treasury Department last month to open an investigation,
which experts and former Treasury officials said was 👉an unusual attempt from a cabinet secretary to target a domestic entity for sanctions enf…

Rubio Is Pressing to Open Sanctions Investigation Into Harvard
Experts and former officials said it was unusual for a cabinet secretary to try to influence the Treasury Department’s sanctions process to target a domestic entity.

Take me now, Jesus, Buddha, Satan, any divine entity.

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.

Einmal unterzeichnen bitte
https://www.eu-inc.org/

EU Inc — Sign the petition to create a pan-european startup entity
Let’s unite the European startup ecosystems by creating a pan-european legal entity. We got 6 weeks. Sign now and help promoting!

Creationism in everyday language bugs me. "Entity A made N dollars" or "… generated N kilowatts" when 'extracted' states what actually happened, and maybe promotes a clearer mindset?
#wordsoundpower

Replaced article(s) found for cs.CL. https://arxiv.org/list/cs.CL/new/
[1/4]:
AMELI: Enhancing Multimodal Entity Linking with Fine-Grained Attributes

Graph-Embedding Empowered Entity Retrieval
Emma J. Gerritse, Faegheh Hasibi, Arjen P. de Vries
https://arxiv.org/abs/2506.03895 https://

Graph-Embedding Empowered Entity Retrieval
In this research, we investigate methods for entity retrieval using graph embeddings. While various methods have been proposed over the years, most utilize a single graph embedding and entity linking approach. This hinders our understanding of how different graph embedding and entity linking methods impact entity retrieval. To address this gap, we investigate the effects of three different categories of graph embedding techniques and five different entity linking methods. We perform a reranking…

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/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…

SecureSpeech: Prompt-based Speaker and Content Protection
Belinda Soh Hui Hui, Xiaoxiao Miao, Xin Wang
https://arxiv.org/abs/2507.07799 https://

SecureSpeech: Prompt-based Speaker and Content Protection
Given the increasing privacy concerns from identity theft and the re-identification of speakers through content in the speech field, this paper proposes a prompt-based speech generation pipeline that ensures dual anonymization of both speaker identity and spoken content. This is addressed through 1) generating a speaker identity unlinkable to the source speaker, controlled by descriptors, and 2) replacing sensitive content within the original text using a name entity recognition model and a lar…

ELRUHNA: Elimination Rule-basedHypergraph Alignment
Cameron Ibrahim, S M Ferdous, Ilya Safro, Marco Minutoli, Mahantesh Halappanavar
https://arxiv.org/abs/2506.09866

ELRUHNA: Elimination Rule-basedHypergraph Alignment
Hypergraph alignment is a well-known NP-hard problem with numerous practical applications across domains such as bioinformatics, social network analysis, and computer vision. Despite its computational complexity, practical and scalable solutions are urgently needed to enable pattern discovery and entity correspondence in high-order relational data. The problem remains understudied in contrast to its graph based counterpart. In this paper, we propose ELRUHNA, an elimination rule-based framework …

My wife is working from home, and I'm listening to her and her colleagues having an online meeting via MS Teams - everything is "Teams" this or "Teams" that. 🤢 🤮 Poor folks being forced by their *gov't funded institution* to contend with such rubbish, poorly conceived, elitist (overpriced) digital technology, created by such an unworthy & psychotic entity (the Microsoft Corporation).

Enhancing Meme Token Market Transparency: A Multi-Dimensional Entity-Linked Address Analysis for Liquidity Risk Evaluation
Qiangqiang Liu, Qian Huang, Frank Fan, Haishan Wu, Xueyan Tang
https://arxiv.org/abs/2506.05359

Enhancing Meme Token Market Transparency: A Multi-Dimensional Entity-Linked Address Analysis for Liquidity Risk Evaluation
Meme tokens represent a distinctive asset class within the cryptocurrency ecosystem, characterized by high community engagement, significant market volatility, and heightened vulnerability to market manipulation. This paper introduces an innovative approach to assessing liquidity risk in meme token markets using entity-linked address identification techniques. We propose a multi-dimensional method integrating fund flow analysis, behavioral similarity, and anomalous transaction detection to iden…

Replaced article(s) found for cs.CV. https://arxiv.org/list/cs.CV/new
[4/4]:
- Tora2: Motion and Appearance Customized Diffusion Transformer for Multi-Entity Video Generation
Zhenghao Zhang, Junchao Liao, Xiangyu Meng, Long Qin, Weizhi Wang

Recursive Semantic Anchoring in ISO 639:2023: A Structural Extension to ISO/TC 37 Frameworks
Bugra Kilictas, Faruk Alpay
https://arxiv.org/abs/2506.06870 h…

Recursive Semantic Anchoring in ISO 639:2023: A Structural Extension to ISO/TC 37 Frameworks
ISO 639:2023 unifies the ISO language-code family and introduces contextual metadata, but it lacks a machine-native mechanism for handling dialectal drift and creole mixtures. We propose a formalisation of recursive semantic anchoring, attaching to every language entity $χ$ a family of fixed-point operators $ϕ_{n,m}$ that model bounded semantic drift via the relation $ϕ_{n,m}(χ) = χ\oplus Δ(χ)$, where $Δ(χ)$ is a drift vector in a latent semantic manifold. The base anchor $ϕ_{0,0}$ re…

From Ambiguity to Accuracy: The Transformative Effect of Coreference Resolution on Retrieval-Augmented Generation systems
Youngjoon Jang, Seongtae Hong, Junyoung Son, Sungjin Park, Chanjun Park, Heuiseok Lim
https://arxiv.org/abs/2507.07847

From Ambiguity to Accuracy: The Transformative Effect of Coreference Resolution on Retrieval-Augmented Generation systems
Retrieval-Augmented Generation (RAG) has emerged as a crucial framework in natural language processing (NLP), improving factual consistency and reducing hallucinations by integrating external document retrieval with large language models (LLMs). However, the effectiveness of RAG is often hindered by coreferential complexity in retrieved documents, introducing ambiguity that disrupts in-context learning. In this study, we systematically investigate how entity coreference affects both document re…

This is the best #HomeAssistant component I've seen in a long time. Genuinely amazing. Found on r/homeassistant.
#homeautomation

GitHub - tikel1/HA-isometric-animated-picture-card: Custom Lovelace cards that let Home-Assistant picture-elements play WebM (or PNG) animations whose frame or loop speed updates in real time from any entity state. Including an AI workflow that turns any room photo into a live picture-elements scene
Custom Lovelace cards that let Home-Assistant picture-elements play WebM (or PNG) animations whose frame or loop speed updates in real time from any entity state. Including an AI workflow that turn...

In-context Clustering-based Entity Resolution with Large Language Models: A Design Space Exploration
Jiajie Fu, Haitong Tang, Arijit Khan, Sharad Mehrotra, Xiangyu Ke, Yunjun Gao
https://arxiv.org/abs/2506.02509

In-context Clustering-based Entity Resolution with Large Language Models: A Design Space Exploration
Entity Resolution (ER) is a fundamental data quality improvement task that identifies and links records referring to the same real-world entity. Traditional ER approaches often rely on pairwise comparisons, which can be costly in terms of time and monetary resources, especially with large datasets. Recently, Large Language Models (LLMs) have shown promising results in ER tasks. However, existing methods typically focus on pairwise matching, missing the potential of LLMs to perform clustering di…

Combat dolls going at it again...
@… @…

This https://arxiv.org/abs/2505.00338 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csDS_…

New Distributed Interactive Proofs for Planarity: A Matter of Left and Right
We provide new distributed interactive proofs (DIP) for planarity and related graph families. The notion of a \emph{distributed interactive proof} (DIP) was introduced by Kol, Oshman, and Saxena (PODC 2018). In this setting, the verifier consists of $n$ nodes connected by a communication graph $G$. The prover is a single entity that communicates with all nodes by short messages. The goal is to verify that the graph $G$ satisfies a certain property (e.g., planarity) in a small number of rounds, …

LumApps, which makes intranet software, agrees to merge with frontline staff communication app Beekeeper in a deal valuing the combined entity at about $1.1B (Reuters)
https://www.reuters.com/business/aerospace

This https://arxiv.org/abs/2308.03734 has been replaced.
link: https://scholar.google.com/scholar?q=a

Labeling without Seeing? Blind Annotation for Privacy-Preserving Entity Resolution
The entity resolution problem requires finding pairs across datasets that belong to different owners but refer to the same entity in the real world. To train and evaluate solutions (either rule-based or machine-learning-based) to the entity resolution problem, generating a ground truth dataset with entity pairs or clusters is needed. However, such a data annotation process involves humans as domain oracles to review the plaintext data for all candidate record pairs from different parties, which…

Anarchism and Linux share key similarities in decentralization. Anarchism puts power back into the hands of the people through democratic, decentralized communities and bottom-up unions that organize collectively without hierarchy. Similarly, Linux operates as a decentralized system where no single entity controls the whole; instead, development and decision-making happen through collaborative, distributed contributions from a global community.
They also align in the principle of mutua…

This https://arxiv.org/abs/2505.24226 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csAI_…

E^2GraphRAG: Streamlining Graph-based RAG for High Efficiency and Effectiveness
Graph-based RAG methods like GraphRAG have shown promising global understanding of the knowledge base by constructing hierarchical entity graphs. However, they often suffer from inefficiency and rely on manually pre-defined query modes, limiting practical use. In this paper, we propose E^2GraphRAG, a streamlined graph-based RAG framework that improves both Efficiency and Effectiveness. During the indexing stage, E^2GraphRAG constructs a summary tree with large language models and an entity grap…

Evaluating Attribute Confusion in Fashion Text-to-Image Generation
Ziyue Liu, Federico Girella, Yiming Wang, Davide Talon
https://arxiv.org/abs/2507.07079 …

Evaluating Attribute Confusion in Fashion Text-to-Image Generation
Despite the rapid advances in Text-to-Image (T2I) generation models, their evaluation remains challenging in domains like fashion, involving complex compositional generation. Recent automated T2I evaluation methods leverage pre-trained vision-language models to measure cross-modal alignment. However, our preliminary study reveals that they are still limited in assessing rich entity-attribute semantics, facing challenges in attribute confusion, i.e., when attributes are correctly depicted but as…

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…

TransClean: Finding False Positives in Multi-Source Entity Matching under Real-World Conditions via Transitive Consistency
Fernando de Meer Pardo, Branka Hadji Misheva, Martin Braschler, Kurt Stockinger
https://arxiv.org/abs/2506.04006

TransClean: Finding False Positives in Multi-Source Entity Matching under Real-World Conditions via Transitive Consistency
We present TransClean, a method for detecting false positive predictions of entity matching algorithms under real-world conditions characterized by large-scale, noisy, and unlabeled multi-source datasets that undergo distributional shifts. TransClean is explicitly designed to operate with multiple data sources in an efficient, robust and fast manner while accounting for edge cases and requiring limited manual labeling. TransClean leverages the Transitive Consistency of a matching, a measure of …

FPF Unveils Paper on State Data Minimization Trends
https://fpf.org/blog/fpf-unveils-paper-on-state-data-minimization-trends/
@…

This https://arxiv.org/abs/2502.13854 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csDC_…

Strong and Hiding Distributed Certification of Bipartiteness
Distributed certification is a framework in distributed computing where nodes in a network jointly verify whether the whole graph satisfies a given property. A locally checkable proof (LCP) is a non-deterministic distributed algorithm used to verify global properties of a graph $G$, involving a prover and a verifier. The prover is a powerful entity that assigns certificates to nodes, which are then locally checked by the verifier. An LCP is correct if it satisfies completeness and soundness. …

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…

"Nothing you do here will cause the Federation to collapse or galaxies to explode.."
#StarTrek #TNG #startrekminuscontext

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

MCEDA buys The Tuskegee News to prevent the Alabama city from becoming a news desert, in what seems to be a first for a US economic development agency (Sarah Clifton/Montgomery Advertiser)
https://www.

160-year-old Tuskegee newspaper to remain in business after purchase by Macon County
"It's about preserving the voice of a community and protecting our momentum and economic development."

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 …

Sources: Trump administration plans to expand Entity List restrictions to cover subsidiaries of Chinese companies, aiming to block workarounds via new offshoots (Bloomberg)
https://www.bloomberg.com/news/articles/202…

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 …

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

Replaced article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[1/5]:
- Combating Confirmation Bias: A Unified Pseudo-Labeling Framework for Entity Alignment
Qijie Ding, Jie Yin, Daokun Zhang, Junbin Gao

SlimRAG: Retrieval without Graphs via Entity-Aware Context Selection
Jiale Zhang, Jiaxiang Chen, Zhucong Li, Jie Ding, Kui Zhao, Zenglin Xu, Xin Pang, Yinghui Xu
https://arxiv.org/abs/2506.17288

SlimRAG: Retrieval without Graphs via Entity-Aware Context Selection
Retrieval-Augmented Generation (RAG) enhances language models by incorporating external knowledge at inference time. However, graph-based RAG systems often suffer from structural overhead and imprecise retrieval: they require costly pipelines for entity linking and relation extraction, yet frequently return subgraphs filled with loosely related or tangential content. This stems from a fundamental flaw -- semantic similarity does not imply semantic relevance. We introduce SlimRAG, a lightweight …

housing ownership law possibilities
Should we maybe have a law that says any one person or entity can only own a max of 2 houses? Or that you can only own 1 not being lived in by your immediate family?
I can see several reasonable use cases for having 1 extra house, including when an old person dies and the family takes a while to decide what's happening with their previous house. And we could debate those cases, and maybe even decide it's not worth arguing over 2 or 3 extra, because that isn't the biggest problem.
But I think we could possibly mostly agree that having one person or company own 5 or 10 or 50 or 500 houses just to extract profit from them is not good for overall wellbeing.
#housing #law #HouseOwnership #HousingMarket #renting #RentalMarket

Human Voice is Unique
Rita Singh, Bhiksha Raj
https://arxiv.org/abs/2506.18182 https://arxiv.org/pdf/2506.18182

Human Voice is Unique
Voice is increasingly being used as a biometric entity in many applications. These range from speaker identification and verification systems to human profiling technologies that attempt to estimate myriad aspects of the speaker's persona from their voice. However, for an entity to be a true biometric identifier, it must be unique. This paper establishes a first framework for calculating the uniqueness of human voice objectively. The approach in this paper is based on statistical considerations…

The Metaphysics of Protection: Emergence, Agency, and the Ontological Status of Logical Qubits
Kamran Majid
https://arxiv.org/abs/2507.00023 https://

The Metaphysics of Protection: Emergence, Agency, and the Ontological Status of Logical Qubits
This paper argues that the practice of fault-tolerant quantum computation, specifically the mechanism of Quantum Error Correction (QEC), offers a profoundly new lens through which to examine foundational questions of ontology, emergence, and interpretation. We move beyond the standard debate on quantum speedup to ask: What is the nature of the entity--the logical qubit--that is being protected, and what does the active, goal-directed process of its protection reveal about physical reality? We a…

Potential Customer Lifetime Value in Financial Institutions: The Usage Of Open Banking Data to Improve CLV Estimation
Jo\~ao B. G. de Brito, Rodrigo Heldt, Cleo S. Silveira, Matthias Bogaert, Guilherme B. Bucco, Fernando B. Luce, Jo\~ao L. Becker, Filipe J. Zabala, Michel J. Anzanello
https://arxiv.org/abs/2506.22711

Potential Customer Lifetime Value in Financial Institutions: The Usage Of Open Banking Data to Improve CLV Estimation
Financial institutions increasingly adopt customer-centric strategies to enhance profitability and build long-term relationships. While Customer Lifetime Value (CLV) is a core metric, its calculations often rely solely on single-entity data, missing insights from customer activities across multiple firms. This study introduces the Potential Customer Lifetime Value (PCLV) framework, leveraging Open Banking (OB) data to estimate customer value comprehensively. We predict retention probability and…

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

Learning to Regulate: A New Event-Level Dataset of Capital Control Measures
Geyue Sun, Xiao Liu, Tomas Williams, Roberto Samaniego
https://arxiv.org/abs/2505.23025

Learning to Regulate: A New Event-Level Dataset of Capital Control Measures
We construct a novel event-level Capital Control Measures (CCM) dataset covering 196 countries from 1999 to 2023 by leveraging prompt-based large language models (LLMs). The dataset enables event study analysis and cross-country comparisons based on rich policy attributes, including action type, intensity, direction, implementing entity, and other multidimensional characteristics. Using a two-step prompt framework with GPT-4.1, we extract structured information from the IMF's Annual Report on E…

Novel Benchmark for NER in the Wastewater and Stormwater Domain
Franco Alberto Cardillo, Franca Debole, Francesca Frontini, Mitra Aelami, Nan\'ee Chahinian, Serge Conrad
https://arxiv.org/abs/2506.01938

Novel Benchmark for NER in the Wastewater and Stormwater Domain
Effective wastewater and stormwater management is essential for urban sustainability and environmental protection. Extracting structured knowledge from reports and regulations is challenging due to domainspecific terminology and multilingual contexts. This work focuses on domain-specific Named Entity Recognition (NER) as a first step towards effective relation and information extraction to support decision making. A multilingual benchmark is crucial for evaluating these methods. This study deve…

This https://arxiv.org/abs/2411.06256 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csIR_…

Annotative Indexing
This paper introduces annotative indexing, a novel framework that unifies and generalizes traditional inverted indexes, column stores, object stores, and graph databases. As a result, annotative indexing can provide the underlying indexing framework for databases that support retrieval augmented generation, knowledge graphs, entity retrieval, semi-structured data, and ranked retrieval. While we primarily focus on human language data in the form of text, annotative indexing is sufficiently gener…

Practical and Accurate Local Edge Differentially Private Graph Algorithms
Pranay Mundra, Charalampos Papamanthou, Julian Shun, Quanquan C. Liu
https://arxiv.org/abs/2506.20828

Practical and Accurate Local Edge Differentially Private Graph Algorithms
The rise of massive networks across diverse domains necessitates sophisticated graph analytics, often involving sensitive data and raising privacy concerns. This paper addresses these challenges using local differential privacy (LDP), which enforces privacy at the individual level, where no third-party entity is trusted, unlike centralized models that assume a trusted curator. We introduce novel LDP algorithms for two fundamental graph statistics: k-core decomposition and triangle counting. Our…

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…

ICE-ID: A Novel Historical Census Data Benchmark Comparing NARS against LLMs, \& a ML Ensemble on Longitudinal Identity Resolution
Gon\c{c}alo Hora de Carvalho, Lazar S. Popov, Sander Kaatee, Kristinn R. Th\'orisson, Tangrui Li, P\'etur H\'uni Bj\"ornsson, Jilles S. Dibangoye
https://arxiv.org/abs/2506.13792…

ICE-ID: A Novel Historical Census Data Benchmark Comparing NARS against LLMs, \& a ML Ensemble on Longitudinal Identity Resolution
We introduce ICE-ID, a novel benchmark dataset for historical identity resolution, comprising 220 years (1703-1920) of Icelandic census records. ICE-ID spans multiple generations of longitudinal data, capturing name variations, demographic changes, and rich genealogical links. To the best of our knowledge, this is the first large-scale, open tabular dataset specifically designed to study long-term person-entity matching in a real-world population. We define identity resolution tasks (within and…

Energy as a Primitive Ontology for the Physical World
J. E. Horvath, B. B. Martins
https://arxiv.org/abs/2506.12692 https://arxiv.org…

Energy as a Primitive Ontology for the Physical World
We reanalyze from a modern perspective the bold idea of G. Helm, W. Ostwald, P. Duhem and others that energy is the fundamental entity composing the physical world. We start from a broad perspective reminding the search for a fundamental ``substance'' (perhaps better referred to as ous\'ıa, the original Greek word) from the pre-Socratics to the important debate between Ostwald and Boltzmann about the energy vs. atoms at the end of the 19th century. While atoms were eventually accepted (even by…