Tootfinder

Russia open to 'cooperation' with Ukraine, US at occupied Zaporizhzhia nuclear plant, Putin claims: https://benborges.xyz/2025/09/02/russia-open-to-cooperation-with.html

3D Reconstruction and Information Fusion between Dormant and Canopy Seasons in Commercial Orchards Using Deep Learning and Fast GICP
Ranjan Sapkota, Zhichao Meng, Martin Churuvija, Xiaoqiang Du, Zenghong Ma, Manoj Karkee
https://arxiv.org/abs/2507.01912

3D Reconstruction and Information Fusion between Dormant and Canopy Seasons in Commercial Orchards Using Deep Learning and Fast GICP
In orchard automation, dense foliage during the canopy season severely occludes tree structures, minimizing visibility to various canopy parts such as trunks and branches, which limits the ability of a machine vision system. However, canopy structure is more open and visible during the dormant season when trees are defoliated. In this work, we present an information fusion framework that integrates multi-seasonal structural data to support robotic and automated crop load management during the e…

Las Vegas Raiders Mock Game Information https://www.si.com/nfl/raiders/las-vegas-mock-game-information-lonnie-johnson-tom-brady-pete-carroll

LEO: An Open-Source Platform for Linking OMERO with Lab Notebooks and Heterogeneous Metadata Sources
Rodrigo Escobar D\'iaz Guerrero, Jamile Mohammad Jafari, Tobias Meyer-Zedler, Michael Schmitt, Juergen Popp, Thomas Bocklitz
https://arxiv.org/abs/2508.00654

LEO: An Open-Source Platform for Linking OMERO with Lab Notebooks and Heterogeneous Metadata Sources
In the interdisciplinary field of microscopy research, managing and integrating large volumes of data stored across disparate platforms remains a major challenge. Data types such as bioimages, experimental records, and spectral information are often maintained in separate repositories, each following different management standards. However, linking these data sources across the research lifecycle is essential to align with the FAIR principles of data management: Findability, Accessibility, Inte…

An Adaptive Estimation Approach based on Fisher Information to Overcome the Challenges of LFP Battery SOC Estimation
Junzhe Shi, Shida Jiang, Shengyu Tao, Jaewong Lee, Manashita Borah, Scott Moura
https://arxiv.org/abs/2507.01173

An Adaptive Estimation Approach based on Fisher Information to Overcome the Challenges of LFP Battery SOC Estimation
Robust and Real-time State of Charge (SOC) estimation is essential for Lithium Iron Phosphate (LFP) batteries, which are widely used in electric vehicles (EVs) and energy storage systems due to safety and longevity. However, the flat Open Circuit Voltage (OCV)-SOC curve makes this task particularly challenging. This challenge is complicated by hysteresis effects, and real-world conditions such as current bias, voltage quantization errors, and temperature that must be considered in the battery m…

Big News! The completely #opensource #LLM #Apertus 🇨🇭 has been released today:
📰

Apertus: A fully open, transparent, multilingual language model
EPFL, ETH Zurich and the Swiss National Supercomputing Centre (CSCS) released Apertus today, Switzerland’s first large-scale, open, multilingual language model — a milestone in generative AI for transparency and diversity.

Mixed State Entanglement Via the Cauchy-Schwarz Inequality
Nishaant Jacobus, Paul Brumer, Chern Chuang
https://arxiv.org/abs/2508.00334 https://arxiv.org/p…

Mixed State Entanglement Via the Cauchy-Schwarz Inequality
The entanglement properties of mixed states are of great importance in the study of open quantum systems and quantum information science, but commonly used entanglement measures, such as negativity, can be difficult to apply or connect to physical properties of the system. We introduce the Cauchy-Schwarz Violation (CSV) Condition, which has a simple dependence on the populations and coherences of the density operator. A sufficient condition for entanglement, it provides a more direct connection…

Ukraine, Denmark sign deal to launch Ukrainian military production on Danish soil: https://benborges.xyz/2025/07/04/ukraine-denmark-sign-deal-to.html

Evaluating Language Models For Threat Detection in IoT Security Logs
Jorge J. Tejero-Fern\'andez, Alfonso S\'anchez-Maci\'an
https://arxiv.org/abs/2507.02390

Evaluating Language Models For Threat Detection in IoT Security Logs
Log analysis is a relevant research field in cybersecurity as they can provide a source of information for the detection of threats to networks and systems. This paper presents a pipeline to use fine-tuned Large Language Models (LLMs) for anomaly detection and mitigation recommendation using IoT security logs. Utilizing classical machine learning classifiers as a baseline, three open-source LLMs are compared for binary and multiclass anomaly detection, with three strategies: zero-shot, few-shot…

Conversational LLMs Simplify Secure Clinical Data Access, Understanding, and Analysis
Rafi Al Attrach, Pedro Moreira, Rajna Fani, Renato Umeton, Leo Anthony Celi
https://arxiv.org/abs/2507.01053

Conversational LLMs Simplify Secure Clinical Data Access, Understanding, and Analysis
As ever-larger clinical datasets become available, they have the potential to unlock unprecedented opportunities for medical research. Foremost among them is Medical Information Mart for Intensive Care (MIMIC-IV), the world's largest open-source EHR database. However, the inherent complexity of these datasets, particularly the need for sophisticated querying skills and the need to understand the underlying clinical settings, often presents a significant barrier to their effective use. M3 lowers…

Learning to Ask: Decision Transformers for Adaptive Quantitative Group Testing
Mahdi Soleymani, Tara Javidi
https://arxiv.org/abs/2509.01723 https://arxiv.…

Learning to Ask: Decision Transformers for Adaptive Quantitative Group Testing
We consider the problem of quantitative group testing (QGT), where the goal is to recover a sparse binary vector from aggregate subset-sum queries: each query selects a subset of indices and returns the sum of those entries. Information-theoretic results suggest that adaptivity could yield up to a twofold reduction in the total number of required queries, yet no algorithm has surpassed the non-adaptive bound, leaving its practical benefit an open question. In this paper, we reduce the QGT probl…

Leveraging Open-Source Large Language Models for Clinical Information Extraction in Resource-Constrained Settings
Luc Builtjes, Joeran Bosma, Mathias Prokop, Bram van Ginneken, Alessa Hering
https://arxiv.org/abs/2507.20859

Leveraging Open-Source Large Language Models for Clinical Information Extraction in Resource-Constrained Settings
Medical reports contain rich clinical information but are often unstructured and written in domain-specific language, posing challenges for information extraction. While proprietary large language models (LLMs) have shown promise in clinical natural language processing, their lack of transparency and data privacy concerns limit their utility in healthcare. This study therefore evaluates nine open-source generative LLMs on the DRAGON benchmark, which includes 28 clinical information extraction t…

LangScene-X: Reconstruct Generalizable 3D Language-Embedded Scenes with TriMap Video Diffusion
Fangfu Liu, Hao Li, Jiawei Chi, Hanyang Wang, Minghui Yang, Fudong Wang, Yueqi Duan
https://arxiv.org/abs/2507.02813

LangScene-X: Reconstruct Generalizable 3D Language-Embedded Scenes with TriMap Video Diffusion
Recovering 3D structures with open-vocabulary scene understanding from 2D images is a fundamental but daunting task. Recent developments have achieved this by performing per-scene optimization with embedded language information. However, they heavily rely on the calibrated dense-view reconstruction paradigm, thereby suffering from severe rendering artifacts and implausible semantic synthesis when limited views are available. In this paper, we introduce a novel generative framework, coined LangS…

Designing for Self-Regulation in Informal Programming Learning: Insights from a Storytelling-Centric Approach
Sami Saeed Alghamdi (Open Lab, School of Computing, Newcastle University), Christopher Bull (Open Lab, School of Computing, Newcastle University), Ahmed Kharrufa (Open Lab, School of Computing, Newcastle University)
https://arxiv.o…

Designing for Self-Regulation in Informal Programming Learning: Insights from a Storytelling-Centric Approach
Many people learn programming independently from online resources and often report struggles in achieving their personal learning goals. Learners frequently describe their experiences as isolating and frustrating, challenged by abundant uncertainties, information overload, and distraction, compounded by limited guidance. At the same time, social media serves as a personal space where many engage in diverse self-regulation practices, including help-seeking, using external memory aids (e.g., self…

Hello from #CoRDI2025 👋 !
🛠️ This year @… is presenting how our Culture Information Portal, the Metadata API, and the Culture Knowledge Graph work together to make #culturalheritage

Interferometric and Bipartite OTOC for Non-Markovian Open Quantum Spin-Chains and Lipkin-Meshkov-Glick Model
Baibhab Bose, Devvrat Tiwari, Subhashish Banerjee
https://arxiv.org/abs/2506.23796

Interferometric and Bipartite OTOC for Non-Markovian Open Quantum Spin-Chains and Lipkin-Meshkov-Glick Model
The information scrambling phenomena in an open quantum system modeled by Ising spin chains coupled to Lipkin-Meshkov-Glick (LMG) baths are observed via an interferometric method for obtaining out-of-time-ordered correlators ($\mathcal{F}-$OTOC). We also use an anisotropic bath connecting to a system of tilted field Ising spin chain in order to confirm that such situations are suitable for the emergence of ballistic spreading of information manifested in the light cones in the $\mathcal{F}-$OTO…

Kremlin: Putin is open to meeting Zelensky, but no serious preparations are underway: https://benborges.xyz/2025/08/30/kremlin-putin-is-open-to.html

I hate the state of real time chats today.
On one side - we have the mainstream crap that gobbles up information like a vaccum, and also fosters toxic behavior.
On the other side - broken open source implementations that does not really work as it should

When LLMs Disagree: Diagnosing Relevance Filtering Bias and Retrieval Divergence in SDG Search
William A. Ingram, Bipasha Banerjee, Edward A. Fox
https://arxiv.org/abs/2507.02139 …

When LLMs Disagree: Diagnosing Relevance Filtering Bias and Retrieval Divergence in SDG Search
Large language models (LLMs) are increasingly used to assign document relevance labels in information retrieval pipelines, especially in domains lacking human-labeled data. However, different models often disagree on borderline cases, raising concerns about how such disagreement affects downstream retrieval. This study examines labeling disagreement between two open-weight LLMs, LLaMA and Qwen, on a corpus of scholarly abstracts related to Sustainable Development Goals (SDGs) 1, 3, and 7. We is…

Quark-Gluon Plasma as a Quantum Channel: Entanglement, Decoherence, and Hadronization
Fidele J. Twagirayezu
https://arxiv.org/abs/2507.02202 https://

Quark-Gluon Plasma as a Quantum Channel: Entanglement, Decoherence, and Hadronization
We propose a quantum information framework to model the quark-gluon plasma (QGP) as a composite quantum channel acting on a multi-qubit or multi-qutrit color-entangled system. The QGP's effects are represented by amplitude damping (jet quenching), $SU(3)$ depolarizing noise (decoherence), and a thermal hadronization channel projecting onto color-singlet states. This construction captures energy loss, decoherence, and confinement dynamics in a unified open quantum system framework. We analyze th…

LLMs Between the Nodes: Community Discovery Beyond Vectors
Ekta Gujral, Apurva Sinha
https://arxiv.org/abs/2507.22955 https://arxiv.org/pdf/2507.22955

LLMs Between the Nodes: Community Discovery Beyond Vectors
Community detection in social network graphs plays a vital role in uncovering group dynamics, influence pathways, and the spread of information. Traditional methods focus primarily on graph structural properties, but recent advancements in Large Language Models (LLMs) open up new avenues for integrating semantic and contextual information into this task. In this paper, we present a detailed investigation into how various LLM-based approaches perform in identifying communities within social grap…

Sources: Apple's team working on AI models wanted to release several as open source, Craig Federighi disagreed, largely concerned about public perception issues (The Information)
https://www.theinformation.com/articles/apple-losing-ground-ai-talent-wa…

Why Apple Is Losing Ground in the AI Talent War (It’s Not Just Money)
Earlier this year, the Apple team working on the company’s artificial intelligence models wanted to release several of them as open-source software. Doing so would have shown Apple’s technical progress in AI while also harnessing the help of outside researchers to improve the models. Still, it ...

Russian officer admits to downing Azerbaijani airliner in reported leak: https://benborges.xyz/2025/07/02/russian-officer-admits-to-downing.html

Bellingcat’s "Auto Archiver" is a tool aimed at preserving online digital content before it can be modified, deleted or taken down.
Publicly launched in 2022,
it has preserved over 150,000 web pages and social media posts to date.
The Auto Archiver has been used by Bellingcat’s journalists to preserve information on dozens of fast moving events such as the Jan. 6 riots
– when we first used the tool internally
– as well as gather digital evidence for o…

The Open Source Tool That Has Preserved 150,000 Pieces of Online Evidence - bellingcat
Bellingcat’s Auto Archiver is a tool aimed at preserving online digital content before it can be modified, deleted or taken down

AI Slop reached the @… community.
Usually I'm using DDG but I had another session with Google open and I just searched whether #CrystalLanguage has in-built Shell escaping nowadays and the first match was a website for a commercial auth so…

I don't know if it'll be part of the government plan, but one thing that would help people attempting to measure the quality of their food intake might be a statutory requirement for the sellers of packaged food to publish ingredients and nutrition information as open data (with UPCs). This could then be used by apps (such as those using openfoodfacts.org).

Healthy food revolution to tackle obesity epidemic
New healthy food standard will see big businesses promoting healthier food and drink

Is SHACL Suitable for Data Quality Assessment?
Carolina Cort\'es Lasalle, Lisa Ehrlinger, Lorena Etcheverry, Felix Naumann
https://arxiv.org/abs/2507.22305 https://

Is SHACL Suitable for Data Quality Assessment?
Knowledge graphs have been widely adopted in both enterprises, such as the Google Knowledge Graph, and open platforms like Wikidata to represent domain knowledge and support analysis with artificial intelligence. They model real-world information as nodes and edges. To embrace flexibility, knowledge graphs often lack enforced schemas (i.e., ontologies), leading to potential data quality issues, such as semantically overlapping nodes. Therefore, ensuring their quality is essential, as issues in …

Bah it looks like pubpub are sunsetting https://www.knowledgefutures.org/updates/2025-06-update/

Китайский классический роман "Троецарствие" невозможно читать, не обращаясь время от времени к базе данных персонажей. Их там почти тысяча.
Для сравнения, в "Войне и мире" их "всего" 559.
https://kongming.net/encyclopedia/directory/Novel

Optimizing Indoor RIS-Aided Physical-Layer Security: A Codebook-Generation Methodology and Measurement-Based Analysis
Dimitris Kompostiotis, Dimitris Vordonis, Vassilis Paliouras, George C. Alexandropoulos
https://arxiv.org/abs/2506.22082

Optimizing Indoor RIS-Aided Physical-Layer Security: A Codebook-Generation Methodology and Measurement-Based Analysis
Sixth-Generation (6G) wireless networks aim to support innovative Internet-of-Things (IoT) applications that demand faster and more secure data transmission. While higher Open Systems Interconnection (OSI) layers employ measures like encryption and secure protocols to address data security, Physical-Layer Security (PLS) focuses on preventing information leakage to EavesDroppers (EDs) and mitigating the effects of jammers and spoofing attacks. In this context, the emerging technology of Reconfig…

We had the pleasure of presenting at FIRST.org 2025, showcasing the Vulnerability-Lookup and GCVE.eu initiatives.
Slides are now available.
#cybersecurity #vulnerability #cve

UiS-IAI@LiveRAG: Retrieval-Augmented Information Nugget-Based Generation of Responses
Weronika {\L}ajewska, Ivica Kostric, Gabriel Iturra-Bocaz, Mariam Arustashvili, Krisztian Balog
https://arxiv.org/abs/2506.22210

UiS-IAI@LiveRAG: Retrieval-Augmented Information Nugget-Based Generation of Responses
Retrieval-augmented generation (RAG) faces challenges related to factual correctness, source attribution, and response completeness. The LiveRAG Challenge hosted at SIGIR'25 aims to advance RAG research using a fixed corpus and a shared, open-source LLM. We propose a modular pipeline that operates on information nuggets-minimal, atomic units of relevant information extracted from retrieved documents. This multistage pipeline encompasses query rewriting, passage retrieval and reranking, nugget d…

Uncertainty Relation for the Wigner-Yanase Skew Information and Quantum Sobolev Inequalities
Laurent Lafleche
https://arxiv.org/abs/2508.15554 https://arxi…

Uncertainty Relation for the Wigner-Yanase Skew Information and Quantum Sobolev Inequalities
This note explores uncertainty inequalities for quantum analogues of the Fisher information including the Wigner-Yanase skew information, and their connection to the quantum Sobolev inequalities proved by the author in [Journal of Functional Analysis, 286 (10) 2024]. Some additional inequalities concerning commutators are derived and others are left as open problems.

aLLoyM: A large language model for alloy phase diagram prediction
Yuna Oikawa, Guillaume Deffrennes, Taichi Abe, Ryo Tamura, Koji Tsuda
https://arxiv.org/abs/2507.22558 https://…

aLLoyM: A large language model for alloy phase diagram prediction
Large Language Models (LLMs) are general-purpose tools with wide-ranging applications, including in materials science. In this work, we introduce aLLoyM, a fine-tuned LLM specifically trained on alloy compositions, temperatures, and their corresponding phase information. To develop aLLoyM, we curated question-and-answer (Q&A) pairs for binary and ternary phase diagrams using the open-source Computational Phase Diagram Database (CPDDB) and assessments based on CALPHAD (CALculation of PHAse Diagr…

Stellar Population Astrophysics (SPA) with the TNG: NLTE atmospheric parameters and abundances of giant stars in 33 Open Clusters
M. Dal Ponte, V. D'Orazi, A. Bragaglia, A. R. Casey, N. Storm, L. Spina, J. Alonso-Santiago, G. Andreuzzi, A. Frasca, J. Kos, S. Lucatello, D. Romano, A. Vallenari, N. Vernekar
https://arxiv.org/a…

Stellar Population Astrophysics (SPA) with the TNG: NLTE atmospheric parameters and abundances of giant stars in 33 Open Clusters
Open clusters serve as important tools for accurately studying the chemical evolution of the Milky Way. By combining precise chemical data from high-resolution spectra with information on their distances and ages, we can effectively uncover the processes that have shaped our Galaxy. This study aims to derive NLTE atmospheric parameters and chemical abundances for approximately one hundred giant stars across 33 open clusters with near-solar metallicity. The clusters span a wide range of ages, en…

OK, this seems interesting.
https://delightful.coding.social/delightful-fediverse-experience/

delightful fediverse experience
Delightful curated lists of free software, open science and information sources.

Information-Theoretic Detection of Unusual Source Code Changes
Adriano Torres, Sebastian Baltes, Christoph Treude, Markus Wagner
https://arxiv.org/abs/2506.06508

Information-Theoretic Detection of Unusual Source Code Changes
The code base of software projects evolves essentially through inserting and removing information to and from the source code. We can measure this evolution via the elements of information - tokens, words, nodes - of the respective representation of the code. In this work, we approach the measurement of the information content of the source code of open-source projects from an information-theoretic standpoint. Our focus is on the entropy of two fundamental representations of code: tokens and ab…

Information Suppression in Large Language Models: Auditing, Quantifying, and Characterizing Censorship in DeepSeek
Peiran Qiu, Siyi Zhou, Emilio Ferrara
https://arxiv.org/abs/2506.12349

Information Suppression in Large Language Models: Auditing, Quantifying, and Characterizing Censorship in DeepSeek
This study examines information suppression mechanisms in DeepSeek, an open-source large language model (LLM) developed in China. We propose an auditing framework and use it to analyze the model's responses to 646 politically sensitive prompts by comparing its final output with intermediate chain-of-thought (CoT) reasoning. Our audit unveils evidence of semantic-level information suppression in DeepSeek: sensitive content often appears within the model's internal reasoning but is omitted or rep…

Open Scene Graphs for Open-World Object-Goal Navigation
Joel Loo, Zhanxin Wu, David Hsu
https://arxiv.org/abs/2508.04678 https://arxiv.org/pdf/2508.04678…

Open Scene Graphs for Open-World Object-Goal Navigation
How can we build general-purpose robot systems for open-world semantic navigation, e.g., searching a novel environment for a target object specified in natural language? To tackle this challenge, we introduce OSG Navigator, a modular system composed of foundation models, for open-world Object-Goal Navigation (ObjectNav). Foundation models provide enormous semantic knowledge about the world, but struggle to organise and maintain spatial information effectively at scale. Key to OSG Navigator is t…

#Windows11's new #StickyNotes app (a thinly disguised #OneNote) is fucking annoying. Since it is so-called "smart", and it attempts to provide context around the "source" of your note, its window is…

Time for another "review". This one's hard. While the book was quite interesting, it required me to be quite open-minded. Still, I think it's worth mentioning:
Robert Wright — Nonzero: The Logic of Human Destiny
The book basically focused on a thesis that both biological evolution and cultural evolution are a thing, they are directional and this directionality can be explained together using game theory — as eventually leading to more non-zero sum games.
It consists of three chapters. The first one is is focused on the history of civilization. It features many examples from different parts of the world, which makes it quite interesting. The author argues that the culture inevitably is evolving as information processing techniques improve — from writing to the Internet.
The second chapter is focused on biological evolution. Now, the argument is that it's not quite random, but actually directed towards greater complexity — eventually leading to the development of highly intelligent species, and a civilization.
The third chapter is quite speculative and metaphysical, and I'm just going to skip it.
The book is full of optimism. Capitalism creates freedom — because people are more productive when they're working for their own gain, so the free market eliminates slavery. Globalisation creates networks of interdependence that make wars uneconomic. Increased contacts between different cultures makes people more tolerant. And eventually, the humanity may be able to unite facing a common "external" enemy — the climate change.
What can I say? The examples are quite interesting, the whole theory seems self-consistent. Still, I repeatedly looked at the publication date (it's 1999), and wondered if author would write the same thing today (yes, I know I can search for his current opinions).
#books #bookstodon @…

rd-spiral: An open-source Python library for learning 2D reaction-diffusion dynamics through pseudo-spectral method
Sandy H. S. Herho, Iwan P. Anwar, Rusmawan Suwarman
https://arxiv.org/abs/2506.20633

rd-spiral: An open-source Python library for learning 2D reaction-diffusion dynamics through pseudo-spectral method
We introduce rd-spiral, an open-source Python library for simulating 2D reaction-diffusion systems using pseudo-spectral methods. The framework combines FFT-based spatial discretization with adaptive Dormand-Prince time integration, achieving exponential convergence while maintaining pedagogical clarity. We analyze three dynamical regimes: stable spirals, spatiotemporal chaos, and pattern decay, revealing extreme non-Gaussian statistics (kurtosis $>96$) in stable states. Information-theoretic m…

MMS Player: an open source software for parametric data-driven animation of Sign Language avatars
Fabrizio Nunnari, Shailesh Mishra, Patrick Gebhard
https://arxiv.org/abs/2507.16463

MMS Player: an open source software for parametric data-driven animation of Sign Language avatars
This paper describes the MMS-Player, an open source software able to synthesise sign language animations from a novel sign language representation format called MMS (MultiModal Signstream). The MMS enhances gloss-based representations by adding information on parallel execution of signs, timing, and inflections. The implementation consists of Python scripts for the popular Blender 3D authoring tool and can be invoked via command line or HTTP API. Animations can be rendered as videos or exported…

The IRMA Dataset: A Structured Audio-MIDI Corpus for Iranian Classical Music
Sepideh Shafiei, Shapour Hakam
https://arxiv.org/abs/2508.19876 https://arxiv.…

The IRMA Dataset: A Structured Audio-MIDI Corpus for Iranian Classical Music
We present the IRMA Dataset (Iranian Radif MIDI Audio), a multi-level, open-access corpus designed for the computational study of Iranian classical music, with a particular emphasis on the radif, a structured repertoire of modal-melodic units central to pedagogy and performance. The dataset combines symbolic MIDI representations, phrase-level audio-MIDI alignment, musicological transcriptions in PDF format, and comparative tables of theoretical information curated from a range of performers and…

Quantum Fisher information as a witness of non-Markovianity and criticality in the spin-boson model
Daniele Parlato, Grazia Di Bello, Fabrizio Pavan, Giulio De Filippis, Carmine Antonio Perroni
https://arxiv.org/abs/2508.16413

Quantum Fisher information as a witness of non-Markovianity and criticality in the spin-boson model
The quantum Fisher information, the quantum analogue of the classical Fisher information, is a central quantity in quantum metrology and quantum sensing because of its connection to parameter estimation and fidelity susceptibility. Using numerically exact methods applied to a paradigmatic open quantum system, the spin-boson model, we calculate both static and dynamical quantum Fisher information matrix elements with respect to spin-bath couplings and magnetic field strengths. As the spin-bath i…

QISCIT: A validated concept inventory assessment for quantum information science
Kelley Durkin, Manshuo Lin, Michael H. Kolodrubetz, Ryan P. McMahan
https://arxiv.org/abs/2506.17122

QISCIT: A validated concept inventory assessment for quantum information science
Quantum information science (QIS) is a critical interdisciplinary field that requires a well-educated workforce in the near future. Numerous researchers and educators have been actively investigating how to best educate and prepare such a workforce. An open issue has been the lack of a validated tool to asses QIS understanding without requiring college-level math. In this paper, we present the systematic development and content validation of a new assessment instrument called the Quantum Inform…

Quantum thermodynamics in a rotating BTZ black hole spacetime
Wenjing Chen, Yixuan Ma, Si-Wei Han, Zihao Wang, Jun Feng
https://arxiv.org/abs/2507.16787 ht…

Quantum thermodynamics in a rotating BTZ black hole spacetime
We address the problem of the thermalization process for an Unruh-DeWitt (UDW) detector outside a BTZ black hole, from a perspective of quantum thermodynamics. In the context of an open quantum system, we derive the complete dynamics of the detector, which encodes a complicated response to scalar background fields. Using various information theory tools, such as quantum relative entropy, quantum heat, coherence, quantum Fisher information, and quantum speed of evolution, we examined three quant…

What's in the Box? Reasoning about Unseen Objects from Multimodal Cues
Lance Ying, Daniel Xu, Alicia Zhang, Katherine M. Collins, Max H. Siegel, Joshua B. Tenenbaum
https://arxiv.org/abs/2506.14212

What's in the Box? Reasoning about Unseen Objects from Multimodal Cues
People regularly make inferences about objects in the world that they cannot see by flexibly integrating information from multiple sources: auditory and visual cues, language, and our prior beliefs and knowledge about the scene. How are we able to so flexibly integrate many sources of information to make sense of the world around us, even if we have no direct knowledge? In this work, we propose a neurosymbolic model that uses neural networks to parse open-ended multimodal inputs and then applie…

So Bitvise, the developer of an SSH client that competes with PuTTY, the widely-used open-source SSH and Telnet client, somehow got hold of the domain putty.org and is using it to promote its own products.
Here's how Bitvise responded to a tech blogger/journalist who wrote about this situation.
https://blog.pupred.…

Detectability and Parameter Estimation for Einstein Telescope Configurations with GWJulia
Andrea Begnoni, Stefano Anselmi, Mauro Pieroni, Alessandro Renzi, Angelo Ricciardone
https://arxiv.org/abs/2506.21530

Detectability and Parameter Estimation for Einstein Telescope Configurations with GWJulia
Future gravitational-wave (GW) detectors are expected to detect tens of thousands of compact binary coalescences (CBC) per year, depending also on the final detectors layout. For this reason, it is essential to have a fast, reliable tool for forecasting how different detector layouts will affect parameter estimation for these events. The Fisher Information Matrix (FIM) is a common tool for tackling this problem. In this paper, we present a new open source code GWJulia to perform FIM analysis of…

Learning to flock in open space by avoiding collisions and staying together
Martino Brambati, Antonio Celani, Marco Gherardi, Francesco Ginelli
https://arxiv.org/abs/2506.15587

Learning to flock in open space by avoiding collisions and staying together
We investigate the emergence of cohesive flocking in open, boundless space using a multi-agent reinforcement learning framework. Agents integrate positional and orientational information from their closest topological neighbours and learn to balance alignment and attractive interactions by optimizing a local cost function that penalizes both excessive separation and close-range crowding. The resulting Vicsek-like dynamics is robust to algorithmic implementation details and yields cohesive colle…

TULIP: Adapting Open-Source Large Language Models for Underrepresented Languages and Specialized Financial Tasks
\.Irem Demirta\c{s}, Burak Payzun, Se\c{c}il Arslan
https://arxiv.org/abs/2508.16243

TULIP: Adapting Open-Source Large Language Models for Underrepresented Languages and Specialized Financial Tasks
Thanks to the growing popularity of large language models over the years, there is great potential for their applications in finance. Despite the exceptional performance of larger proprietary models, which are presented as black-box solutions through APIs, smaller models that can be hosted on-premise present opportunities for adaptability and privacy. Especially in cases where the management of sensitive information and application of domain knowledge is important, like finance, enhancing the c…

Learn about the financial relationships that drug and medical device companies have with healthcare providers.
https://openpaymentsdata.cms.gov/

CMS Open Payments
The official U.S. government website that houses data collected and published by Open Payments, a federally mandated program that collects information about payments that reporting entities, including drug and medical device companies make to covered recipients like physicians.

Underground ⤵️
地下 ⤵️
📷 Minolta Hi-Matic AF
🎞️ERA 100, expired 1994
buy me ☕️ ?/请我喝杯☕️？
#filmphotography

DefElement: an encyclopedia of finite element definitions
Matthew W. Scroggs, Pablo D. Brubeck, Joseph P. Dean, J{\o}rgen S. Dokken, India Marsden
https://arxiv.org/abs/2506.20188

DefElement: an encyclopedia of finite element definitions
DefElement is an online encyclopedia of finite element definitions that was created and is maintained by the authors of this paper. DefElement aims to make information about elements defined in the literature easily available in a standard format. There are a number of open-source finite element libraries available, and it can be difficult to check that an implementation of an element in a library matches the element's definition in the literature or implementation in another library, especiall…

How to Keep Up With New CSS Features | CSS-Tricks
https://css-tricks.com/how-to-keep-up-with-new-css-features/
Oh, the State of CSS survey is open... And ßmore good sources.

Quantum aspects of spacetime: A quantum optics view of acceleration radiation and black holes
C. R. Ordonez, A. Chakraborty, H. E. Camblong, M. O. Scully, W. G. Unruh
https://arxiv.org/abs/2508.17401

Quantum aspects of spacetime: A quantum optics view of acceleration radiation and black holes
For the centennial of quantum mechanics, we offer an overview of the central role played by quantum information and thermalization in problems involving fundamental properties of spacetime and gravitational physics. This is an open area of research still a century after the initial development of formal quantum mechanics, highlighting the effectiveness of quantum physics in the description of all natural phenomena. These remarkable connections can be highlighted with the tools of modern quantum…

Online portal exposed car and personal data, allowed anyone to remotely unlock cars | Malwarebytes https://www.malwarebytes.com/blog/news/2025/08/online-portal-exposed-car-and-personal-data-allowed-anyone-to-remotely…

Online portal exposed car and personal data, allowed anyone to remotely unlock cars
A carmaker has been found to be open to leaking vehicle data and customer information through their dealership portal.

Today a nice german word: "Birkenknopfhornblattwespe"
Latin name is Cimbex femoratus and it is very colorful as a robin 🐛
#insekten

Multimodal Information Retrieval for Open World with Edit Distance Weak Supervision
KMA Solaiman, Bharat Bhargava
https://arxiv.org/abs/2506.20070 https://…

Multimodal Information Retrieval for Open World with Edit Distance Weak Supervision
Existing multi-media retrieval models either rely on creating a common subspace with modality-specific representation models or require schema mapping among modalities to measure similarities among multi-media data. Our goal is to avoid the annotation overhead incurred from considering retrieval as a supervised classification task and re-use the pretrained encoders in large language models and vision tasks. We propose "FemmIR", a framework to retrieve multimodal results relevant to information …

Modelling the emergence of open-ended technological evolution
James Winters, Mathieu Charbonneau
https://arxiv.org/abs/2508.04828 https://arxiv.org/pdf/250…

Modelling the emergence of open-ended technological evolution
Humans stand alone in terms of their potential to collectively and cumulatively improve technologies in an open-ended manner. This open-endedness provides societies with the ability to continually expand their resources and to increase their capacity to store, transmit and process information at a collective-level. Here, we propose that the production of resources arises from the interaction between technological systems (a society's repertoire of interdependent skills, techniques and artifacts…

Mapping the reddening plane in the Galactic disk through interstellar extinction of open clusters
Yogesh C. Joshi (ARIES)
https://arxiv.org/abs/2506.04460 …

Mapping the reddening plane in the Galactic disk through interstellar extinction of open clusters
As thousands of new open clusters in the Galaxy have recently been reported with reddening or extinction information, we map the distribution and properties of the Galaxy's interstellar material in the Galactic disk as traced by these open clusters. By analyzing the distribution of interstellar extinction for 6215 open clusters located at low Galactic latitude b <= 6 deg, corresponding to the thin Galactic disk, we identify a reddening plane characterized by a dust layer whose thickness varies …

Data Work in Memory Institutions: Why and How Information Professionals Use Wikidata
Riya Sinha, Amelia Acker, Hanlin Li
https://arxiv.org/abs/2508.13388 https://

Data Work in Memory Institutions: Why and How Information Professionals Use Wikidata
Wikidata, an open structured database and a sibling project to Wikipedia, has recently become an important platform for information professionals to share structured metadata from their memory institutions, organizations that maintain public knowledge and cultural heritage materials. While studies have investigated why and how peer producers contribute to Wikidata, the institutional motivations and practices of these organizations are less understood. Given Wikidata's potential role in linking …

Ukraine calls for additional Russia sanctions as Moscow aims to open occupied seaports to international ships: https://benborges.xyz/2025/08/26/ukraine-calls-for-additional-russia.html

The Quasi-Radial Field-line Tracing (QRaFT): an Adaptive Segmentation of the Open-Flux Solar Corona
Vadim M. Uritsky, Christopher E. Rura, Cooper Downs, Shaela I. Jones, Charles Nickolos Arge, Nathalia Alzate
https://arxiv.org/abs/2506.14894

The Quasi-Radial Field-line Tracing (QRaFT): an Adaptive Segmentation of the Open-Flux Solar Corona
Optical observations of solar corona provide key information on its magnetic geometry. The large-scale open field of the corona plays an important role in shaping the ambient solar wind and constraining the propagation dynamics of the embedded structures, such as interplanetary coronal mass ejections. Rigorous analysis of the open-flux coronal regions based on coronagraph images can be quite challenging because of the depleted plasma density resulting in low signal-to-noise ratios. In this pape…

Energy-dependent gamma-ray morphology Estimation Tool in Gammapy
K. Feijen, R. Terrier, B. Kh\'elifi, A. Sinha, A. Donath, A. Mitchell, Q. Remy
https://arxiv.org/abs/2507.17622

Energy-dependent gamma-ray morphology Estimation Tool in Gammapy
An understanding of the energy dependence of gamma-ray sources can yield important information on the underlying emission mechanisms. However, despite the detection of energy-dependent morphologies in many TeV sources, we lack a proper quantification of such measurements. We introduce an estimation tool within the Gammapy landscape, an open-source Python package for the analysis of gamma-ray data, to quantify the energy-dependent morphology of a gamma-ray source. The proposed method for this es…

Implicit reporting standards in bibliometric research: what can reviewers' comments tell us about reporting completeness?
Dimity Stephen, Alexander Schniedermann, Andrey Lovakov, Marion Schmidt, Matteo Ottaviani, Nikita Sorgatz, Roberto Cruz Romero, Torger M\"oller, Valeria Aman, Stephan Stahlschmidt
https://arxiv.org/abs/2508.162…

Implicit reporting standards in bibliometric research: what can reviewers' comments tell us about reporting completeness?
The recent surge in bibliometric studies published has been accompanied by increasing diversity in the completeness of reporting these studies' details, affecting reliability, reproducibility, and robustness. Our study systematises the reporting of bibliometric research using open peer reviews. We examined 182 peer reviews of 85 bibliometric studies published in library and information science (LIS) journals and conference proceedings, and non-LIS journals. We extracted 968 reviewer comments an…

The Sample Complexity of Distributed Simple Binary Hypothesis Testing under Information Constraints
Hadi Kazemi, Ankit Pensia, Varun Jog
https://arxiv.org/abs/2506.13686

The Sample Complexity of Distributed Simple Binary Hypothesis Testing under Information Constraints
This paper resolves two open problems from a recent paper, arXiv:2403.16981, concerning the sample complexity of distributed simple binary hypothesis testing under information constraints. The first open problem asks whether interaction reduces the sample complexity of distributed simple binary hypothesis testing. In this paper, we show that sequential interaction does not help. The second problem suggests tightening existing sample complexity bounds for communication-constrained simple binary …

Social Media Reactions to Open Source Promotions: AI-Powered GitHub Projects on Hacker News
Prachnachai Meakpaiboonwattana, Warittha Tarntong, Thai Mekratanavorakul, Chaiyong Ragkhitwetsagul, Pattaraporn Sangaroonsilp, Raula Kula, Morakot Choetkiertikul, Kenichi Matsumoto, Thanwadee Sunetnanta
https://arxiv.org/abs/2506.12643

Social Media Reactions to Open Source Promotions: AI-Powered GitHub Projects on Hacker News
Social media platforms have become more influential than traditional news sources, shaping public discourse and accelerating the spread of information. With the rapid advancement of artificial intelligence (AI), open-source software (OSS) projects can leverage these platforms to gain visibility and attract contributors. In this study, we investigate the relationship between Hacker News, a social news site focused on computer science and entrepreneurship, and the extent to which it influences de…

Marcel: A Lightweight and Open-Source Conversational Agent for University Student Support
Jan Trienes, Anastasiia Derzhanskaia, Roland Schwarzkopf, Markus M\"uhling, J\"org Schl\"otterer, Christin Seifert
https://arxiv.org/abs/2507.13937

Marcel: A Lightweight and Open-Source Conversational Agent for University Student Support
We present Marcel, a lightweight and open-source conversational agent designed to support prospective students with admission-related inquiries. The system aims to provide fast and personalized responses, while reducing workload of university staff. We employ retrieval-augmented generation to ground answers in university resources and to provide users with verifiable, contextually relevant information. To improve retrieval quality, we introduce an FAQ retriever that maps user questions to knowl…

An Open Research Dataset of the 1932 Cairo Congress of Arab Music
Baris Bozkurt (College of Interdisciplinary Studies, Zayed University, Dubai, United Arab Emirates)
https://arxiv.org/abs/2506.14503

An Open Research Dataset of the 1932 Cairo Congress of Arab Music
This paper introduces ORD-CC32 , an open research dataset derived from the 1932 Cairo Congress of Arab Music recordings, a historically significant collection representing diverse Arab musical traditions. The dataset includes structured metadata, melodic and rhythmic mode tags (maqam and iqa), manually labeled tonic information, and acoustic features extracted using state-of-the-art pitch detection methods. These resources support computational studies of tuning, temperament, and regional varia…

Attacking LLMs and AI Agents: Advertisement Embedding Attacks Against Large Language Models
Qiming Guo, Jinwen Tang, Xingran Huang
https://arxiv.org/abs/2508.17674 https://

Attacking LLMs and AI Agents: Advertisement Embedding Attacks Against Large Language Models
We introduce Advertisement Embedding Attacks (AEA), a new class of LLM security threats that stealthily inject promotional or malicious content into model outputs and AI agents. AEA operate through two low-cost vectors: (1) hijacking third-party service-distribution platforms to prepend adversarial prompts, and (2) publishing back-doored open-source checkpoints fine-tuned with attacker data. Unlike conventional attacks that degrade accuracy, AEA subvert information integrity, causing models to …

Multistream Network for LiDAR and Camera-based 3D Object Detection in Outdoor Scenes
Muhammad Ibrahim, Naveed Akhtar, Haitian Wang, Saeed Anwar, Ajmal Mian
https://arxiv.org/abs/2507.19304

Multistream Network for LiDAR and Camera-based 3D Object Detection in Outdoor Scenes
Fusion of LiDAR and RGB data has the potential to enhance outdoor 3D object detection accuracy. To address real-world challenges in outdoor 3D object detection, fusion of LiDAR and RGB input has started gaining traction. However, effective integration of these modalities for precise object detection task still remains a largely open problem. To address that, we propose a MultiStream Detection (MuStD) network, that meticulously extracts task-relevant information from both data modalities. The ne…

Collaborative Beamforming for Communication Applications Using a Two-Element Fully-Wireless Open-Loop Coherent Distributed Array
Jason M. Merlo, Jeffrey A. Nanzer
https://arxiv.org/abs/2506.13014

Collaborative Beamforming for Communication Applications Using a Two-Element Fully-Wireless Open-Loop Coherent Distributed Array
In this work we demonstrate a proof of concept of a fully-wireless two-node open-loop coherent distributed communication system and evaluate its performance by transmitting QPSK , 64-, and 256-QAM constellations at a symbol rate of 2 MBd over a 58 m link in an urban environment. The system is implemented in a distributed manner with on-node processing using software-defined radios (SDRs) and wireless internode communication to share coordination information and does not rely on external time or…

The latest executive order from Trump administration removed the following sentence from a previous executive order.
" e) Open source software plays a critical role in Federal information systems."
🔗 https://www…

Sustaining Select Efforts to Strengthen the Nation's Cybersecurity and Amending Executive Order 13694 and Executive Order 14144
By the authority vested in me as President by the Constitution and the laws of the United States of America, including the International Emergency

Government to privatize one of largest chemical plants in Ukraine: https://benborges.xyz/2025/08/26/government-to-privatize-one-of.html

Towards Better Requirements from the Crowd: Developer Engagement with Feature Requests in Open Source Software
Pragyan K C, Rambod Ghandiparsi, Thomas Herron, John Heaps, Mitra Bokaei Hosseini
https://arxiv.org/abs/2507.13553

Towards Better Requirements from the Crowd: Developer Engagement with Feature Requests in Open Source Software
As user demands evolve, effectively incorporating feature requests is crucial for maintaining software relevance and user satisfaction. Feature requests, typically expressed in natural language, often suffer from ambiguity or incomplete information due to communication gaps or the requester's limited technical expertise. These issues can lead to misinterpretation, faulty implementation, and reduced software quality. While seeking clarification from requesters is a common strategy to mitigate th…

Polarization switching on the open surfaces of the wurtzite ferroelectric nitrides: ferroelectric subsystems and electrochemical reactivity
Yongtao Liu, Anton V. Ievlev, Eugene A. Eliseev, Nana Sun, Kazuki Okamoto, Hiroshi Funakubo, Anna N. Morozovska, Sergei Kalinin
https://arxiv.org/abs/2506.14452

Polarization switching on the open surfaces of the wurtzite ferroelectric nitrides: ferroelectric subsystems and electrochemical reactivity
Binary ferroelectric nitrides are promising materials for information technologies and power electronics. However, polarization switching in these materials is highly unusual. From the structural perspective, polarization reversal is associated with the change of the effective polarity at the surfaces and interfaces from N-to-M terminated, suggesting strong coupling between ferroelectric and chemical phenomena. Phenomenologically, macroscopic studies demonstrate the presence of complex time dep…

Information Bulletin Strategy in Impatient Queuing
Anthony Kiggundu, Bin Han, Hans D. Schotten
https://arxiv.org/abs/2508.04241 https://arxiv.org/pdf/2508.…

Information Bulletin Strategy in Impatient Queuing
In Sixth Generation (6G) networks, decentralized control in multi-tenant systems is a suggested enabler for autonomous network operations. However, autonomy requires independent rationale decisions be taken by tenants. This rationality can only be underpinned by timely and continuous access to status information. Despite its importance, the questions of what information should be shared, how much should be communicated, and how frequently updates should be dispatched remain open research challe…

DocFetch - Towards Generating Software Documentation from Multiple Software Artifacts
Akhila Sri Manasa Venigalla, Sridhar Chimalakonda
https://arxiv.org/abs/2508.17719 https://…

DocFetch - Towards Generating Software Documentation from Multiple Software Artifacts
Software Documentation plays a major role in the usage and development of a project. Widespread adoption of open source software projects contributes to larger and faster development of the projects, making it difficult to maintain the associated documentation. Existing automated approaches to generate documentation largely focus on source code. However, information useful for documentation is observed to be scattered across various artifacts that co-evolve with the source code. Leveraging this…

Modeling Open-World Cognition as On-Demand Synthesis of Probabilistic Models
Lionel Wong, Katherine M. Collins, Lance Ying, Cedegao E. Zhang, Adrian Weller, Tobias Gersternberg, Timothy O'Donnell, Alexander K. Lew, Jacob D. Andreas, Joshua B. Tenenbaum, Tyler Brooke-Wilson
https://arxiv.org/abs/2507.12547

Modeling Open-World Cognition as On-Demand Synthesis of Probabilistic Models
When faced with novel situations, people are able to marshal relevant considerations from a wide range of background knowledge and put these to use in inferences and predictions. What permits us to draw in globally relevant information and reason over it coherently? Here, we explore the hypothesis that people use a combination of distributed and symbolic representations to construct bespoke mental models tailored to novel situations. We propose a computational implementation of this idea -- a `…

Cybercriminals are using AI to execute highly targeted attacks at scale, causing people to unwittingly send money and sensitive information or simply open themselves up to theft.
Hackers are now able to rent generative AI large language models created in the underground cybercrime community to help formulate text-based scams.
But just as generative AI is enhancing and scaling social engineering attacks, so too is it giving defenders a leg up.

The hacking underworld has removed all of AI's guardrails, but the good guys are closing in
Fake Taylor Swift ads and malicious QR codes are just some of the newest ways cybercriminals are using AI as the cat-and-mouse cybersecurity game heats up.

Semidefinite Programming for the Asymmetric Stochastic Block Model
Julia Gaudio, Phawin Prongpaophan
https://arxiv.org/abs/2506.18754 https://

Semidefinite Programming for the Asymmetric Stochastic Block Model
We consider semidefinite programming (SDP) for the binary stochastic block model with equal-sized communities. Prior work of Hajek, Wu, and Xu proposed an SDP (sym-SDP) for the symmetric case where the intra-community edge probabilities are equal, and showed that the SDP achieves the information-theoretic threshold for exact recovery under the symmetry assumption. A key open question is whether SDPs can be used to achieve exact recovery for non-symmetric block models. In order to inform the des…

Context-Aware Scientific Knowledge Extraction on Linked Open Data using Large Language Models
Sajratul Y. Rubaiat, Hasan M. Jamil
https://arxiv.org/abs/2506.17580

Context-Aware Scientific Knowledge Extraction on Linked Open Data using Large Language Models
The exponential growth of scientific literature challenges researchers extracting and synthesizing knowledge. Traditional search engines return many sources without direct, detailed answers, while general-purpose LLMs may offer concise responses that lack depth or omit current information. LLMs with search capabilities are also limited by context window, yielding short, incomplete answers. This paper introduces WISE (Workflow for Intelligent Scientific Knowledge Extraction), a system addressing…

The Evolution of IBM's Quantum Information Software Kit (Qiskit): A Review of its Applications
Param Pathak, K Tarakeshwar, Syed Sufiyan Ali, Shalini Devendrababu, Adarsh Ganesan
https://arxiv.org/abs/2508.12245

The Evolution of IBM's Quantum Information Software Kit (Qiskit): A Review of its Applications
Quantum computing is being increasingly adopted for solving classically intractable problems across various domains. However, the availability of accessible and scalable software frameworks remains essential for practical experimentation and adoption. IBM's open-source quantum computing toolkit 'Qiskit' has become a key player in this space by offering tools for circuit design, simulation, hardware execution, and domain-specific applications. This survey provides a systematic review of how Qisk…

Nations torn by infighting will lose, Ukraine's military intelligence chief warns amid controversial law: https://benborges.xyz/2025/07/23/nations-torn-by-infighting-will.html

Slow Fluid Antenna Multiple Access with Multiport Receivers
Jos\'e P. Gonz\'alez-Coma, F. Javier L\'opez-Mart\'inez
https://arxiv.org/abs/2507.17505 https://

Slow Fluid Antenna Multiple Access with Multiport Receivers
We investigate whether equipping fluid-antenna (FA) receivers with multiple ($L>1$) radiofrequency (RF) chains can improve the performance of the slow fluid-antenna multiple access (FAMA) technique, which enables open-loop connectivity with channel state information (CSI) available only at the receiver side. We analyze the case of slow-FAMA users equipped with multiport receivers, so that $L$ ports of the FA are selected and combined to reduce interference. We show that a joint design of the po…

OMAR-RQ: Open Music Audio Representation Model Trained with Multi-Feature Masked Token Prediction
Pablo Alonso-Jim\'enez, Pedro Ramoneda, R. Oguz Araz, Andrea Poltronieri, Dmitry Bogdanov
https://arxiv.org/abs/2507.03482

OMAR-RQ: Open Music Audio Representation Model Trained with Multi-Feature Masked Token Prediction
Developing open-source foundation models is essential for advancing research in music audio understanding and ensuring access to powerful, multipurpose representations for music information retrieval. We present OMAR-RQ, a model trained with self-supervision via masked token classification methodologies using a large-scale dataset with over 330,000 hours of music audio. We experiment with different input features and quantization options, and achieve state-of-the-art performance in music taggin…

InPars : Supercharging Synthetic Data Generation for Information Retrieval Systems
Matey Krastev, Miklos Hamar, Danilo Toapanta, Jesse Brouwers, Yibin Lei
https://arxiv.org/abs/2508.13930

InPars+: Supercharging Synthetic Data Generation for Information Retrieval Systems
This work revisits and extends synthetic query generation pipelines for Neural Information Retrieval (NIR) by leveraging the InPars Toolkit, a reproducible, end-to-end framework for generating training data using large language models (LLMs). We first assess the reproducibility of the original InPars, InPars-V2, and Promptagator pipelines on the SciFact benchmark and validate their effectiveness using open-source reranker and generator models. Building on this foundation, we introduce two key e…

Information Transport in Classic-Quantum Hybrid System
Julian Rapp, Radhika H. Joshi, Alwin van Steensel, Yuli V. Nazarov, Mohammad H. Ansari
https://arxiv.org/abs/2508.07870 ht…

Information Transport in Classic-Quantum Hybrid System
Many important quantities in quantum information science, such as entropy and entanglement, are non-linear functions of the density matrix and cannot be expressed as operator observables. Standard open-system approaches evolve only a single copy of the density matrix, making it impossible to track the dynamics of such quantities. A formalism proposed by some of the present authors addressed this challenge by evolving multiple virtual replicas, but was limited to the weak-coupling regime. Here, …

Microservices and Real-Time Processing in Retail IT: A Review of Open-Source Toolchains and Deployment Strategies
Aaditaa Vashisht (Department of Information Science,Engineering, RV College of Engineering, India), Rekha B S (Department of Information Science,Engineering, RV College of Engineering, India)
https://arxiv.org/abs/25…

Microservices and Real-Time Processing in Retail IT: A Review of Open-Source Toolchains and Deployment Strategies
With the rapid pace of digital transformation, the retail industry is increasingly depending on real-time, scalable, and resilient systems to manage financial transactions, analyze customer behavior, and streamline order processing. This literature review explores how modern event-driven and microservices-based architectures, particularly those leveraging Apache Kafka, Spring Boot, MongoDB, and Kubernetes are transforming retail and financial systems. By systematically reviewing academic public…

Thyme: Think Beyond Images
Yi-Fan Zhang, Xingyu Lu, Shukang Yin, Chaoyou Fu, Wei Chen, Xiao Hu, Bin Wen, Kaiyu Jiang, Changyi Liu, Tianke Zhang, Haonan Fan, Kaibing Chen, Jiankang Chen, Haojie Ding, Kaiyu Tang, Zhang Zhang, Liang Wang, Fan Yang, Tingting Gao, Guorui Zhou
https://arxiv.org/abs/2508.11630

Thyme: Think Beyond Images
Following OpenAI's introduction of the ``thinking with images'' concept, recent efforts have explored stimulating the use of visual information in the reasoning process to enhance model performance in perception and reasoning tasks. However, to the best of our knowledge, no open-source work currently offers a feature set as rich as proprietary models (O3), which can perform diverse image manipulations and simultaneously enhance logical reasoning capabilities through code. In this paper, we make…

Sub-Connected Hybrid Beamfocusing Design for RSMA-Enabled Near-Field Communications with Imperfect CSI and SIC
Jiasi Zhou, Ruirui Chen, Yanjing Sun, Chintha Tellambura
https://arxiv.org/abs/2507.11854

Sub-Connected Hybrid Beamfocusing Design for RSMA-Enabled Near-Field Communications with Imperfect CSI and SIC
Near-field spherical waves inherently encode both direction and distance information, enabling spotlight-like beam focusing for targeted interference mitigation. However, whether such beam focusing can fully eliminate interference under perfect and imperfect channel state information (CSI), rendering advanced interference management schemes unnecessary, remains an open question. To address this, we investigate rate-splitting multiple access (RSMA)-enabled near-field communications (NFC) under i…

Path Integral Formalism for Quantum Open Systems
Ruofan Chen
https://arxiv.org/abs/2506.08802 https://arxiv.org/pdf/2506.08802…

Path Integral Formalism for Quantum Open Systems
This article provides a detailed derivation of the path integral formalism for both boson and fermion quantum open systems using coherent states. The formalism on the imaginary-time axis, Keldysh contour, and Kadanoff contour are given. The corresponding generating functional technique, which can be used to retrieve the environment information from the system correlation function, is also discussed.

Denmark, Sweden back funding US weapons for Ukraine: https://benborges.xyz/2025/07/15/denmark-sweden-back-funding-us.html

A GenAI System for Improved FAIR Independent Biological Database Integration
Syed N. Sakib, Kallol Naha, Sajratul Y. Rubaiat, Hasan M. Jamil
https://arxiv.org/abs/2506.17934

A GenAI System for Improved FAIR Independent Biological Database Integration
Life sciences research increasingly requires identifying, accessing, and effectively processing data from an ever-evolving array of information sources on the Linked Open Data (LOD) network. This dynamic landscape places a significant burden on researchers, as the quality of query responses depends heavily on the selection and semantic integration of data sources --processes that are often labor-intensive, error-prone, and costly. While the adoption of FAIR (Findable, Accessible, Interoperable,…

France warns of war in 'heart of Europe,' names Russia 'most direct threat': https://benborges.xyz/2025/07/15/france-warns-of-war-in.html

This https://arxiv.org/abs/2505.11205 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csSE_…

IssueCourier: Multi-Relational Heterogeneous Temporal Graph Neural Network for Open-Source Issue Assignment
Issue assignment plays a critical role in open-source software (OSS) maintenance, which involves recommending the most suitable developers to address the reported issues. Given the high volume of issue reports in large-scale projects, manually assigning issues is tedious and costly. Previous studies have proposed automated issue assignment approaches that primarily focus on modeling issue report textual information, developers' expertise, or interactions between issues and developers based on h…

Dnipropetrovsk village likely contested despite Russia's claim of its capture: https://benborges.xyz/2025/07/08/dnipropetrovsk-village-likely-contested-despite.html

German lawmakers call on Merz to increase aid to Ukraine, Bild reports: https://benborges.xyz/2025/07/06/german-lawmakers-call-on-merz.html