Tootfinder

Ukrainian hackers wipe databases at Russia's Gazprom in major cyberattack, intelligence source says: https://benborges.xyz/2025/07/18/ukrainian-hackers-wipe-databases-at.html

Multimodal Data Storage and Retrieval for Embodied AI: A Survey
Yihao Lu, Hao Tang
https://arxiv.org/abs/2508.13901 https://arxiv.org/pdf/2508.13901…

Multimodal Data Storage and Retrieval for Embodied AI: A Survey
Embodied AI (EAI) agents continuously interact with the physical world, generating vast, heterogeneous multimodal data streams that traditional management systems are ill-equipped to handle. In this survey, we first systematically evaluate five storage architectures (Graph Databases, Multi-Model Databases, Data Lakes, Vector Databases, and Time-Series Databases), focusing on their suitability for addressing EAI's core requirements, including physical grounding, low-latency access, and dynamic s…

Opening The Black-Box: Explaining Learned Cost Models For Databases
Roman Heinrich, Oleksandr Havrylov, Manisha Luthra, Johannes Wehrstein, Carsten Binnig
https://arxiv.org/abs/2507.14495

Opening The Black-Box: Explaining Learned Cost Models For Databases
Learned Cost Models (LCMs) have shown superior results over traditional database cost models as they can significantly improve the accuracy of cost predictions. However, LCMs still fail for some query plans, as prediction errors can be large in the tail. Unfortunately, recent LCMs are based on complex deep neural models, and thus, there is no easy way to understand where this accuracy drop is rooted, which critically prevents systematic troubleshooting. In this demo paper, we present the very f…

Choose Democracy – Resist List
https://choosedemocracy.us/resist-list/

Finally took the time VACUUM FULL all my #PostgreSQL #databases and empty a runaway table. Dropped from ~90% diskusage to ~25% and a hell of a lot less CPU

Querying Graph-Relational Data
Michael J. Sullivan, Zhibo Chen, Elvis Pranskevichus, Robert J. Simmons, Victor Petrovykh, Alja\v{z} Mur Er\v{z}en, Yury Selivanov
https://arxiv.org/abs/2507.16089

Querying Graph-Relational Data
For applications that store structured data in relational databases, there is an impedance mismatch between the flat representations encouraged by relational data models and the deeply nested information that applications expect to receive. In this work, we present the graph-relational database model, which provides a flexible, compositional, and strongly-typed solution to this "object-relational mismatch." We formally define the graph-relational database model and present a static and dynamic …

"Does the cafe entrance look accessible? Where is the door?" Towards Geospatial AI Agents for Visual Inquiries
Jon E. Froehlich, Jared Hwang, Zeyu Wang, John S. O'Meara, Xia Su, William Huang, Yang Zhang, Alex Fiannaca, Philip Nelson, Shaun Kane
https://arxiv.org/abs/2508.15752

"Does the cafe entrance look accessible? Where is the door?" Towards Geospatial AI Agents for Visual Inquiries
Interactive digital maps have revolutionized how people travel and learn about the world; however, they rely on pre-existing structured data in GIS databases (e.g., road networks, POI indices), limiting their ability to address geo-visual questions related to what the world looks like. We introduce our vision for Geo-Visual Agents--multimodal AI agents capable of understanding and responding to nuanced visual-spatial inquiries about the world by analyzing large-scale repositories of geospatial …

The Rest is Silence: Leveraging Unseen Species Models for Computational Musicology
Fabian C. Moss, Jan Haji\v{c} jr., Adrian Nachtwey, Laurent Pugin
https://arxiv.org/abs/2507.14638

The Rest is Silence: Leveraging Unseen Species Models for Computational Musicology
For many decades, musicologists have engaged in creating large databases serving different purposes for musicological research and scholarship. With the rise of fields like music information retrieval and digital musicology, there is now a constant and growing influx of musicologically relevant datasets and corpora. In historical or observational settings, however, these datasets are necessarily incomplete, and the true extent of a collection of interest remains unknown -- silent. Here, we appl…

Parkes transient events: II. Pulsar single pulses database containing raw data segment
Xuan Yang, S. B. Zhang, Le-Yu Tang, L. Toomey, Xue-Feng Wu
https://arxiv.org/abs/2508.14403

Parkes transient events: II. Pulsar single pulses database containing raw data segment
We have re-processed single pulse candidates from the first four years (1997-2001) of the Parkes Multibeam receiver system observations, creating a new Parkes transient database (PTD II) that contains 165,592 single pulses from 363 known pulsars. Unlike previous databases, PTD II preserves the critical raw data segments of each detected pulse, enabling detailed analyses of emission physics while maintaining a compact size of only 1.5 GB. The database employs a sqlite3 structure organising pulsa…

topology: Internet AS graph (2004)
An integrated snapshot of the structure of the Internet at the level of Autonomous Systems (ASs), reconstructed from multiple sources, including the RouteViews and RIPE BGP trace collectors, route servers, looking glasses, and the Internet Routing Registry databases. This snapshot was created around October 2004.
This network has 34761 nodes and 171403 edges.
Tags: Technological, Communication, Unweighted, Multigraph, Timestamps

Efficient and Scalable Self-Healing Databases Using Meta-Learning and Dependency-Driven Recovery
Joydeep Chandra, Prabal Manhas
https://arxiv.org/abs/2507.13757

Efficient and Scalable Self-Healing Databases Using Meta-Learning and Dependency-Driven Recovery
This study explored the development of a novel self-healing framework for databases using meta-learning and reinforcement learning techniques. The primary objective was to address the challenges of real-time adaptability and minimal retraining in dynamic workload environments. The proposed approach integrated Model-Agnostic Meta-Learning (MAML) with reinforcement learning to enable anomaly detection and corrective actions that adapted swiftly to evolving database conditions. Multi-objective opt…

Bookmarked: calfa-co/lexical-databases: Source files of Calfa.fr web-based dictionary. #Armenisch_Lexikon Source files of Calfa.fr web-base…

I Built a Bloom Filter Data Structure Simulator
https://coffeebytes.dev/en/databases/i-built-a-bloom-filter-data-structure-simulator/

Finite Axiomatizability by Disjunctive Existential Rules
Marco Calautti, Marco Console, Andreas Pieris
https://arxiv.org/abs/2508.11946 https://arxiv.org/p…

Finite Axiomatizability by Disjunctive Existential Rules
Rule-based languages lie at the core of several areas of central importance to databases and artificial intelligence such as deductive databases and knowledge representation and reasoning. Disjunctive existential rules (a.k.a. disjunctive tuple-generating dependencies in the database literature) form such a prominent rule-based language. The goal of this work is to pinpoint the expressive power of disjunctive existential rules in terms of insightful model-theoretic properties. More precisely, g…

What's the equivalent of #Immich but for audio and video files?
I'm looking for a self-hostable #FOSS thing that I can throw the rest of my media library in the face (movies, music, downloaded youtube videos, etc.) and it'll sort everything nicely, maybe even query databases to find metada…

A Risk Manager for Intrusion Tolerant Systems: Enhancing HAL 9000 with New Scoring and Data Sources
Tadeu Freitas, Carlos Novo, In\^es Dutra, Jo\~ao Soares, Manuel Correia, Benham Shariati, Rolando Martins
https://arxiv.org/abs/2508.13364

A Risk Manager for Intrusion Tolerant Systems: Enhancing HAL 9000 with New Scoring and Data Sources
Intrusion Tolerant Systems (ITSs) have become increasingly critical due to the rise of multi-domain adversaries exploiting diverse attack surfaces. ITS architectures aim to tolerate intrusions, ensuring system compromise is prevented or mitigated even with adversary presence. Existing ITS solutions often employ Risk Managers leveraging public security intelligence to adjust system defenses dynamically against emerging threats. However, these approaches rely heavily on databases like NVD and Exp…

Digital-GenAI-Enhanced HCI in DevOps as a Driver of Sustainable Innovation: An Empirical Framework
Jun Cui
https://arxiv.org/abs/2508.13185 https://arxiv.o…

Digital-GenAI-Enhanced HCI in DevOps as a Driver of Sustainable Innovation: An Empirical Framework
This study examines the impact of Digital-GenAI-Enhanced Human-Computer Interaction (HCI) in DevOps on sustainable innovation performance among Chinese A-share internet technology firms. Using panel data from 2018-2024, we analyze 5,560 firm-year observations from CNRDS and CSMAR databases. Our empirical framework reveals significant positive associations between AI-enhanced HCI implementation and sustainable innovation outcomes. Results demonstrate that firms adopting advanced HCI technologies…

Replaced article(s) found for cs.DB. https://arxiv.org/list/cs.DB/new
[1/1]:
- Enabling Data Dependency-based Query Optimization
Daniel Lindner, Daniel Ritter, Felix Naumann

Knowing when to stop: insights from ecology for building catalogues, collections, and corpora
Jan Haji\v{c} jr., Fabian Moss
https://arxiv.org/abs/2507.14614 https://

Knowing when to stop: insights from ecology for building catalogues, collections, and corpora
A major locus of musicological activity-increasingly in the digital domain-is the cataloguing of sources, which requires large-scale and long-lasting research collaborations. Yet, the databases aiming at covering and representing musical repertoires are never quite complete, and scholars must contend with the question: how much are we still missing? This question structurally resembles the 'unseen species' problem in ecology, where the true number of species must be estimated from limited obser…

PHP turned 30 last month. Why does this language that powers 75% of the web—including Facebook, Wikipedia, and WordPress—have such staying power? Find out by registering for this fall's DIG 540, UMaine's online course in building cultural databases.
https://DigitalCuration.UMaine.edu

CRED-SQL: Enhancing Real-world Large Scale Database Text-to-SQL Parsing through Cluster Retrieval and Execution Description
Shaoming Duan, Zirui Wang, Chuanyi Liu, Zhibin Zhu, Yuhao Zhang, Peiyi Han, Liang Yan, Zewu Penge
https://arxiv.org/abs/2508.12769

CRED-SQL: Enhancing Real-world Large Scale Database Text-to-SQL Parsing through Cluster Retrieval and Execution Description
Recent advances in large language models (LLMs) have significantly improved the accuracy of Text-to-SQL systems. However, a critical challenge remains: the semantic mismatch between natural language questions (NLQs) and their corresponding SQL queries. This issue is exacerbated in large-scale databases, where semantically similar attributes hinder schema linking and semantic drift during SQL generation, ultimately reducing model accuracy. To address these challenges, we introduce CRED-SQL, a fr…

Software developer Heval Hazal Kurt discusses the pros and cons of relational databases, in comparison with their document-based counterparts, in this July 2025 article. Polyglot systems combining both paradigms are discussed as an ideal solution to differing data access needs within a same project.
"When to Choose NoSQL Over SQL"

A Distributed Learned Hash Table
Shengze Wang, Yi Liu, Xiaoxue Zhang, Liting Hu, Chen Qian
https://arxiv.org/abs/2508.14239 https://arxiv.org/pdf/2508.1423…

A Distributed Learned Hash Table
Distributed Hash Tables (DHTs) are pivotal in numerous high-impact key-value applications built on distributed networked systems, offering a decentralized architecture that avoids single points of failure and improves data availability. Despite their widespread utility, DHTs face substantial challenges in handling range queries, which are crucial for applications such as LLM serving, distributed storage, databases, content delivery networks, and blockchains. To address this limitation, we prese…

NV-like Defects More Common Than Four-Leaf Clovers: A Perspective on High-Throughput Point Defect Data
Joel Davidsson
https://arxiv.org/abs/2508.14223 https://

NV-like Defects More Common Than Four-Leaf Clovers: A Perspective on High-Throughput Point Defect Data
Point defects for quantum technologies is an emerging research area, with the nitrogen-vacancy (NV) center in diamond at the forefront. However, how rare are defects with NV-like properties? In this perspective, I highlight the results of NV-like defects across 17 different materials, revealing that they are more common than finding four-leaf clovers. I also discuss expanding the search criteria to identify other defects relevant to quantum technologies. Utilizing point defect databases will be…

Are you running open-source databases on Kubernetes? At Berlin Buzzwords 2025, Peter Zaitsev discussed best practices for high availability, security, backups, and disaster recovery. Discover key pitfalls to avoid and learn how Operators can simplify database management for MySQL, MongoDB, and PostgreSQL in Kubernetes environments.
Watch the full session:

Replaced article(s) found for cs.DB. https://arxiv.org/list/cs.DB/new
[1/1]:
- Common Data Format (CDF): A Standardized Format for Match-Data in Football (Soccer)
Anzer, Arnsmeyer, Bauer, Bekkers, Brefeld, Davis, Evans, Kempe, Robertson, Smith, Van Haaren

The Home Office has permitted police to run facial recognition scans against images held in the UK’s passport and immigration databases without notifying Parliament or the public, say privacy campaigners.
https://www.computing.co.uk/news/2025/uk-p

UK police use passport, immigration photos in facial recognition without public disclosure
The Home Office has permitted police to run facial recognition scans against images held in the UK’s passport and immigration databases without notifying Parliament or ...

Connecting, enriching & extending Copilot's understanding of "people" in your org to the individual profiles of your HR systems, internal databases, etc. to provide better more accurate responses.
Original post: https://bsky.app/profile/did:plc:3y3e6

Heading back to Berlin after just 2 days of #IANLS25 . Really happy with the 4 special sessions on digital technology. There's are strong focus on databases and corpora, but there were also papers on digital methods. Let's see how things develop over the next triennium!
@…

from my link log —
PostgreSQL replication slots: preventing WAL bloat and other production issues.
https://www.morling.dev/blog/mastering-postgres-replication-slots/
saved 2025-07-08

A bit of actually helpful #Sysadminnery...
So, you don't have a DBA on staff because the databases you "administer" are all designed by external app developers and a DBA would have no work? Your databases have been running w/o intervention for years, aren't generating errors? Getting used to everything kinda running slow?
Schedule an annual date to do the equivale…

Crosslisted article(s) found for cs.DB. https://arxiv.org/list/cs.DB/new
[1/1]:
- Confidence Estimation for Text-to-SQL in Large Language Models
Sepideh Entezari Maleki, Mohammadreza Pourreza, Davood Rafiei

Google says hackers stole its customers’ data in a breach of its Salesforce database
https://techcrunch.com/2025/08/06/google-says-hackers-stole-its-customers-data-in-a-breach-of-its-salesforce-database/

Google says hackers stole its customers' data by breaching its Salesforce database | TechCrunch
Google confirmed that one of its cloud-stored Salesforce databases was breached, exposing its customer data. Google attributed the breach to a hacking group, ShinyHunters, known for breaking into Salesforce databases.

Efficient Semi-External Breadth-First Search
Xiaolong Wan, Xixian Han
https://arxiv.org/abs/2507.12925 https://arxiv.org/pdf/2507.129…

Efficient Semi-External Breadth-First Search
Breadth-first search (BFS) is known as a basic search strategy for learning graph properties. As the scales of graph databases have increased tremendously in recent years, large-scale graphs G are often disk-resident. Obtaining the BFS results of G in semi-external memory model is inevitable, because the in-memory BFS algorithm has to maintain the entire G in the main memory, and external BFS algorithms consume high computational costs. As a good trade-off between the internal and external memo…

Replaced article(s) found for cs.DB. https://arxiv.org/list/cs.DB/new
[1/1]:
- Integrated data-driven biotechnology research environments
Rosalia Moreddu
https://…

As Palantir continues to expand its influence within the administration,
the Trump administration has given the company the right to surveil  Americans.
In a chilling report,The New York Times notes that the company is already creating
“detailed portraits of Americans based on government data,”
with the Trump administration already seeking
“access to hundreds of data points on citizens and others through government databases,
including their bank accoun…

Trump Taps Palantir to Compile Data on Americans
The Trump administration has expanded Palantir’s work with the government, spreading the company’s technology — which could easily merge data on Americans — throughout agencies.

Crosslisted article(s) found for cs.DB. https://arxiv.org/list/cs.DB/new
[1/1]:
- On the Effectiveness of Graph Reordering for Accelerating Approximate Nearest Neighbor Search on GPU
Yutaro Oguri, Mai Nishimura, Yusuke Matsui

Those companies that you pay to get your data out of data brokers’ databases are just creating databases so they can become data brokers, themselves, right?

Replaced article(s) found for cs.DB. https://arxiv.org/list/cs.DB/new
[1/1]:
- Who is Responsible When AI Fails? Mapping Causes, Entities, and Consequences of AI Privacy and Et...
Hilda Hadan, Reza Hadi Mogavi, Leah Zhang-Kennedy, Lennart E. Nacke

> Having to maintain half a dozen cursed #OpenSource pseudo-databases, because people absolutely must use this month's fad.
Another of them betrays community trust and changes license.
> Having to maintain a bunch of independent open source forks of said pseudo-database.
Rinse and repeat.
#Gentoo

topology: Internet AS graph (2004)
An integrated snapshot of the structure of the Internet at the level of Autonomous Systems (ASs), reconstructed from multiple sources, including the RouteViews and RIPE BGP trace collectors, route servers, looking glasses, and the Internet Routing Registry databases. This snapshot was created around October 2004.
This network has 34761 nodes and 171403 edges.
Tags: Technological, Communication, Unweighted, Multigraph, Timestamps

Inside ICE’s Supercharged Facial Recognition App of 200 Million Images https://www.404media.co/inside-ices-supercharged-facial-recognition-app-of-200-million-images/

AlDBaran: Towards Blazingly Fast State Commitments for Blockchains
Bernhard Kauer, Aleksandr Petrosyan, Benjamin Livshits
https://arxiv.org/abs/2508.10493 https://

AlDBaran: Towards Blazingly Fast State Commitments for Blockchains
The fundamental basis for maintaining integrity within contemporary blockchain systems is provided by authenticated databases. Our analysis indicates that a significant portion of the approaches applied in this domain fail to sufficiently meet the stringent requirements of systems processing transactions at rates of multi-million TPS. AlDBaran signifies a substantial advancement in authenticated databases. By eliminating disk I/O operations from the critical path, implementing prefetching strat…

Crosslisted article(s) found for cs.DB. https://arxiv.org/list/cs.DB/new
[1/1]:
- Clustering with Set Outliers and Applications in Relational Clustering
Vaishali Surianarayanan, Neeraj Kumar, Stavros Sintos

Chat-Driven Text Generation and Interaction for Person Retrieval
Zequn Xie, Chuxin Wang, Sihang Cai, Yeqiang Wang, Shulei Wang, Tao Jin
https://arxiv.org/abs/2509.12662 https://…

Chat-Driven Text Generation and Interaction for Person Retrieval
Text-based person search (TBPS) enables the retrieval of person images from large-scale databases using natural language descriptions, offering critical value in surveillance applications. However, a major challenge lies in the labor-intensive process of obtaining high-quality textual annotations, which limits scalability and practical deployment. To address this, we introduce two complementary modules: Multi-Turn Text Generation (MTG) and Multi-Turn Text Interaction (MTI). MTG generates rich p…

Large Language Models in the Data Science Lifecycle: A Systematic Mapping Study
Sai Sanjna Chintakunta, Nathalia Nascimento, Everton Guimaraes
https://arxiv.org/abs/2508.11698 h…

Large Language Models in the Data Science Lifecycle: A Systematic Mapping Study
In recent years, Large Language Models (LLMs) have emerged as transformative tools across numerous domains, impacting how professionals approach complex analytical tasks. This systematic mapping study comprehensively examines the application of LLMs throughout the Data Science lifecycle. By analyzing relevant papers from Scopus and IEEE databases, we identify and categorize the types of LLMs being applied, the specific stages and tasks of the data science process they address, and the methodolo…

Finding Inter-species Associations on Large Citizen Science Datasets
Jacob Deutsch
https://arxiv.org/abs/2508.14259 https://arxiv.org/pdf/2508.14259…

Finding Inter-species Associations on Large Citizen Science Datasets
Determining associations among different species from citizen science databases is challenging due to observer behavior and intrinsic density variations that give rise to correlations that do not imply species associations. This paper introduces a method that can efficiently analyze large datasets to extract likely species associations. It tiles space into small blocks chosen to be of the accuracy of the data coordinates, and reduces observations to presence/absence per tile, in order to comput…

What are some of the key concepts and design choices behind modern, scalable, high-performance databases? At Berlin Buzzwords 2025, Guy Shtub discussed how a database delivers sub-millisecond 99 percentile latency at millions of operations per second throughput, at scale, and how you can use it.
Watch the full session: https://

[2025-06-23 Mon (UTC), 9 new articles found for cs.DB Databases]
toXiv_bot_toot

A hacking collective calling itself "Scattered LapSus Hunters," has threatened to leak Google databases unless the company sacks two senior employees. Whilst the group has yet to provide any evidence that it holds Google data, Google has recently disclosed a third-party security breach involving Salesforce.

Hackers threaten Google with data leak unless company fires two threat intelligence employees
A hacking collective calling itself "Scattered LapSus Hunters," has threatened to leak Google databases unless the company sacks two senior employees. Whilst the group has ...

[2025-07-22 Tue (UTC), 5 new articles found for cs.DB Databases]
toXiv_bot_toot

Contrastive timbre representations for musical instrument and synthesizer retrieval
Gwendal Le Vaillant, Yannick Molle
https://arxiv.org/abs/2509.13285 https://

Contrastive timbre representations for musical instrument and synthesizer retrieval
Efficiently retrieving specific instrument timbres from audio mixtures remains a challenge in digital music production. This paper introduces a contrastive learning framework for musical instrument retrieval, enabling direct querying of instrument databases using a single model for both single- and multi-instrument sounds. We propose techniques to generate realistic positive/negative pairs of sounds for virtual musical instruments, such as samplers and synthesizers, addressing limitations in co…

[2025-08-22 Fri (UTC), 6 new articles found for cs.DB Databases]
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[2025-09-22 Mon (UTC), 4 new articles found for cs.DB Databases]
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[2025-07-23 Wed (UTC), no new articles found for cs.DB Databases]
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Empowering Graph-based Approximate Nearest Neighbor Search with Adaptive Awareness Capabilities
Jiancheng Ruan, Tingyang Chen, Renchi Yang, Xiangyu Ke, Yunjun Gao
https://arxiv.org/abs/2506.15986

Empowering Graph-based Approximate Nearest Neighbor Search with Adaptive Awareness Capabilities
Approximate Nearest Neighbor Search (ANNS) in high-dimensional spaces finds extensive applications in databases, information retrieval, recommender systems, etc. While graph-based methods have emerged as the leading solution for ANNS due to their superior query performance, they still face several challenges, such as struggling with local optima and redundant computations. These issues arise because existing methods (i) fail to fully exploit the topological information underlying the proximity …

topology: Internet AS graph (2004)
An integrated snapshot of the structure of the Internet at the level of Autonomous Systems (ASs), reconstructed from multiple sources, including the RouteViews and RIPE BGP trace collectors, route servers, looking glasses, and the Internet Routing Registry databases. This snapshot was created around October 2004.
This network has 34761 nodes and 171403 edges.
Tags: Technological, Communication, Unweighted, Multigraph, Timestamps

Challenges in GenAI and Authentication: a scoping review
Wesley dos Reis Bezerra, Lais Machado Bezerra, Carlos Becker Westphall
https://arxiv.org/abs/2507.11775

Challenges in GenAI and Authentication: a scoping review
Authentication and authenticity have been a security challenge since the beginning of information sharing, especially in the context of digital information. With the advancement of generative artificial intelligence, these challenges have evolved, demanding a more up-to-date analysis of their impacts on society and system security. This work presents a scoping review that analyzed 88 documents from the IEEExplorer, Scopus, and ACM databases, promoting an analysis of the resulting portfolio thro…

A meta-analysis on the performance of machine-learning based language models for sentiment analysis
Elena Rohde, Jonas Klingwort, Christian Borgs
https://arxiv.org/abs/2509.09728

A meta-analysis on the performance of machine-learning based language models for sentiment analysis
This paper presents a meta-analysis evaluating ML performance in sentiment analysis for Twitter data. The study aims to estimate the average performance, assess heterogeneity between and within studies, and analyze how study characteristics influence model performance. Using PRISMA guidelines, we searched academic databases and selected 195 trials from 20 studies with 12 study features. Overall accuracy, the most reported performance metric, was analyzed using double arcsine transformation and …

IDSS, a Novel P2P Relational Data Storage Service
Massimo Cafaro, Italo Epicoco, Marco Pulimeno, Lunodzo J. Mwinuka, Lucas Pereira, Hugo Morais
https://arxiv.org/abs/2507.14682

IDSS, a Novel P2P Relational Data Storage Service
The rate at which data is generated has been increasing rapidly, raising challenges related to its management. Traditional database management systems suffer from scalability and are usually inefficient when dealing with large-scale and heterogeneous data. This paper introduces IDSS (InnoCyPES Data Storage Service), a novel large-scale data storage tool that leverages peer-to-peer networks and embedded relational databases. We present the IDSS architecture and its design, and provide details re…

Replaced article(s) found for cs.DB. https://arxiv.org/list/cs.DB/new
[1/1]:
- NLI4DB: A Systematic Review of Natural Language Interfaces for Databases
Mengyi Liu, Jianqiu Xu

Replaced article(s) found for cs.DB. https://arxiv.org/list/cs.DB/new
[1/1]:
- TabulaX: Leveraging Large Language Models for Multi-Class Table Transformations
Arash Dargahi Nobari, Davood Rafiei

Crosslisted article(s) found for cs.DB. https://arxiv.org/list/cs.DB/new
[1/1]:
- Fitting Ontologies and Constraints to Relational Structures
Simon Hosemann, Jean Christoph Jung, Carsten Lutz, Sebastian Rudolph

Rel-HNN: Split Parallel Hypergraph Neural Network for Learning on Relational Databases
Md. Tanvir Alam, Md. Ahasanul Alam, Md Mahmudur Rahman, Md. Mosaddek Khan
https://arxiv.org/abs/2507.12562

Rel-HNN: Split Parallel Hypergraph Neural Network for Learning on Relational Databases
Relational databases (RDBs) are ubiquitous in enterprise and real-world applications. Flattening the database poses challenges for deep learning models that rely on fixed-size input representations to capture relational semantics from the structured nature of relational data. Graph neural networks (GNNs) have been proposed to address this, but they often oversimplify relational structures by modeling all the tuples as monolithic nodes and ignoring intra-tuple associations. In this work, we prop…

[2025-07-21 Mon (UTC), 5 new articles found for cs.DB Databases]
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[2025-08-21 Thu (UTC), 3 new articles found for cs.DB Databases]
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Replaced article(s) found for cs.DB. https://arxiv.org/list/cs.DB/new
[1/1]:
- Efficient Discovery of Motif Transition Process for Large-Scale Temporal Graphs
Zhiyuan Zheng, Jianpeng Qi, Jiantao Li, Guoqing Chao, Junyu Dong, Yanwei Yu

Crosslisted article(s) found for cs.DB. https://arxiv.org/list/cs.DB/new
[1/1]:
- AegisBlock: A Privacy-Preserving Medical Research Framework using Blockchain
Calkin Garg, Omar Rios Cruz, Tessa Andersen, Gaby G. Dagher, Donald Winiecki, Min Long

Crosslisted article(s) found for cs.DB. https://arxiv.org/list/cs.DB/new
[1/1]:
- Keywords are not always the key: A metadata field analysis for natural language search on open da...
Lisa-Yao Gan, Arunav Das, Johanna Walker, Elena Simperl

Crosslisted article(s) found for cs.DB. https://arxiv.org/list/cs.DB/new
[1/1]:
- Exploring Distributed Vector Databases Performance on HPC Platforms: A Study with Qdrant
Ockerman, Gueroudji, Oh, Underwood, Chia, Chard, Ross, Venkataraman

Replaced article(s) found for cs.DB. https://arxiv.org/list/cs.DB/new
[1/1]:
- AMAZe: A Multi-Agent Zero-shot Index Advisor for Relational Databases
Zhaodonghui Li, Haitao Yuan, Jiachen Shi, Hao Zhang, Yu Rong, Gao Cong

Towards a Standard for JSON Document Databases
Elena Botoeva, Julien Corman
https://arxiv.org/abs/2509.12189 https://arxiv.org/pdf/2509.12189

Towards a Standard for JSON Document Databases
In this technical report, we present a formalisation of the MongoDB aggregation framework. Our aim is to identify a fragment that could serve as the starting point for an industry-wide standard for querying JSON document databases. We provide a syntax and formal semantics for a set of selected operators, We show how this fragment relates to known relational query languages. We explain how our semantics differs from the current implementation of MongoDB, and justify our choices. We provide a set…

Synthesize, Retrieve, and Propagate: A Unified Predictive Modeling Framework for Relational Databases
Ning Li, Kounianhua Du, Han Zhang, Quan Gan, Minjie Wang, David Wipf, Weinan Zhang
https://arxiv.org/abs/2508.08327

Synthesize, Retrieve, and Propagate: A Unified Predictive Modeling Framework for Relational Databases
Relational databases (RDBs) have become the industry standard for storing massive and heterogeneous data. However, despite the widespread use of RDBs across various fields, the inherent structure of relational databases hinders their ability to benefit from flourishing deep learning methods. Previous research has primarily focused on exploiting the unary dependency among multiple tables in a relational database using the primary key - foreign key relationships, either joining multiple tables in…

Replaced article(s) found for cs.DB. https://arxiv.org/list/cs.DB/new
[1/1]:
- MedPix 2.0: A Comprehensive Multimodal Biomedical Data set for Advanced AI Applications with Retr...
Irene Siragusa, Salvatore Contino, Massimo La Ciura, Rosario Alicata, Roberto Pirrone

Replaced article(s) found for cs.DB. https://arxiv.org/list/cs.DB/new
[1/1]:
- EllieSQL: Cost-Efficient Text-to-SQL with Complexity-Aware Routing
Yizhang Zhu, Runzhi Jiang, Boyan Li, Nan Tang, Yuyu Luo

Crosslisted article(s) found for cs.DB. https://arxiv.org/list/cs.DB/new
[1/1]:
- Compressive Meta-Learning
Daniel Mas Montserrat, David Bonet, Maria Perera, Xavier Gir\'o-i-Nieto, Alexander G. Ioannidis

Crosslisted article(s) found for cs.DB. https://arxiv.org/list/cs.DB/new
[1/1]:
- LLM Agents for Interactive Workflow Provenance: Reference Architecture and Evaluation Methodology
Souza, Poteet, Etz, Rosendo, Gueroudji, Shin, Balaprakash, da Silva

[2025-08-20 Wed (UTC), 3 new articles found for cs.DB Databases]
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Query Logs Analytics: A Aystematic Literature Review
Dihia Lanasri
https://arxiv.org/abs/2508.13949 https://arxiv.org/pdf/2508.13949

Query Logs Analytics: A Aystematic Literature Review
In the digital era, user interactions with various resources such as databases, data warehouses, websites, and knowledge graphs (KGs) are increasingly mediated through digital platforms. These interactions leave behind digital traces, systematically captured in the form of logs. Logs, when effectively exploited, provide high value across industry and academia, supporting critical services (e.g., recovery and security), user-centric applications (e.g., recommender systems), and quality-of-servic…

Replaced article(s) found for cs.DB. https://arxiv.org/list/cs.DB/new
[1/1]:
- The Impact of Modern AI in Metadata Management
Wenli Yang, Rui Fu, Muhammad Bilal Amin, Byeong Kang

[2025-08-19 Tue (UTC), 5 new articles found for cs.DB Databases]
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[2025-09-19 Fri (UTC), 3 new articles found for cs.DB Databases]
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BridgeScope: A Universal Toolkit for Bridging Large Language Models and Databases
Lianggui Weng, Dandan Liu, Rong Zhu, Bolin Ding, Jingren Zhou
https://arxiv.org/abs/2508.04031 …

BridgeScope: A Universal Toolkit for Bridging Large Language Models and Databases
As large language models (LLMs) demonstrate increasingly powerful reasoning and orchestration capabilities, LLM-based agents are rapidly proliferating for complex data-related tasks. Despite this progress, the current design of how LLMs interact with databases exhibits critical limitations in usability, security, privilege management, and data transmission efficiency. To resolve these challenges, we introduce BridgeScope, a universal toolkit bridging LLMs and databases through three key innovat…

Replaced article(s) found for cs.DB. https://arxiv.org/list/cs.DB/new
[1/1]:
- MINE GRAPH RULE: A New Cypher-like Operator for Mining Association Rules on Property Graphs
Francesco Cambria, Francesco Invernici, Anna Bernasconi, Stefano Ceri

Replaced article(s) found for cs.DB. https://arxiv.org/list/cs.DB/new
[1/1]:
- Consensus-Free Spreadsheet Integration
Brandon Baylor, Eric Daimler, James Hansen, Esteban Montero, Ryan Wisnesky

Crosslisted article(s) found for cs.DB. https://arxiv.org/list/cs.DB/new
[1/1]:
- Quality Assessment of Tabular Data using Large Language Models and Code Generation
Ashlesha Akella, Akshar Kaul, Krishnasuri Narayanam, Sameep Mehta

Replaced article(s) found for cs.DB. https://arxiv.org/list/cs.DB/new
[1/1]:
- Inconsistency Handling in Prioritized Databases with Universal Constraints: Complexity Analysis a...
Meghyn Bienvenu, Camille Bourgaux

Language Native Lightly Structured Databases for Large Language Model Driven Composite Materials Research
Yuze Liu, Zhaoyuan Zhang, Xiangsheng Zeng, Yihe Zhang, Leping Yu, Lejia Wang, Xi Yu
https://arxiv.org/abs/2509.06093

Language Native Lightly Structured Databases for Large Language Model Driven Composite Materials Research
Chemical and materials research has traditionally relied heavily on knowledge narrative, with progress often driven by language-based descriptions of principles, mechanisms, and experimental experiences, rather than tables, limiting what conventional databases and ML can exploit. We present a language-native database for boron nitride nanosheet (BNNS) polymer thermally conductive composites that captures lightly structured information from papers across preparation, characterization, theory-com…

[2025-08-18 Mon (UTC), 1 new article found for cs.DB Databases]
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[2025-07-18 Fri (UTC), 3 new articles found for cs.DB Databases]
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[2025-09-18 Thu (UTC), 4 new articles found for cs.DB Databases]
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Marlin: Efficient Coordination for Autoscaling Cloud DBMS (Extended Version)
Wenjie Hu, Guanzhou Hu, Mahesh Balakrishnan, Xiangyao Yu
https://arxiv.org/abs/2508.01931 https://…

Marlin: Efficient Coordination for Autoscaling Cloud DBMS (Extended Version)
Modern cloud databases are shifting from converged architectures to storage disaggregation, enabling independent scaling and billing of compute and storage. However, cloud databases still rely on external, converged coordination services (e.g., ZooKeeper) for their control planes. These services are effectively lightweight databases optimized for low-volume metadata. As the control plane scales in the cloud, this approach faces similar limitations as converged databases did before storage disag…

Replaced article(s) found for cs.DB. https://arxiv.org/list/cs.DB/new
[1/1]:
- MAPS: A Multilingual Benchmark for Global Agent Performance and Security
Hofman, Brokman, Rachmil, Bose, Pahuja, Shimizu, Starostina, Marchisio, Goldfarb-Tarrant, Vainshtein

Replaced article(s) found for cs.DB. https://arxiv.org/list/cs.DB/new
[1/1]:
- Cut Costs, Not Accuracy: LLM-Powered Data Processing with Guarantees
Sepanta Zeighami, Shreya Shankar, Aditya Parameswaran

Crosslisted article(s) found for cs.DB. https://arxiv.org/list/cs.DB/new
[1/1]:
- Text-to-SQL Oriented to the Process Mining Domain: A PT-EN Dataset for Query Translation
Bruno Yui Yamate, Thais Rodrigues Neubauer, Marcelo Fantinato, Sarajane Marques Peres

Zero-Knowledge Verifiable Graph Query Evaluation via Expansion-Centric Operator Decomposition
Hao Wu, Changzheng Wei, Yanhao Wang, Li Lin, Yilong Leng, Shiyu He, Minghao Zhao, Hanghang Wu, Ying Yan, Aoying Zhou
https://arxiv.org/abs/2507.00427

Zero-Knowledge Verifiable Graph Query Evaluation via Expansion-Centric Operator Decomposition
This paper investigates the feasibility of achieving zero-knowledge verifiability for graph databases, enabling database owners to cryptographically prove the query execution correctness without disclosing the underlying data. Although similar capabilities have been explored for relational databases, their implementation for graph databases presents unique challenges. This is mainly attributed to the relatively large complexity of queries in graph databases. When translating graph queries into …

Replaced article(s) found for cs.DB. https://arxiv.org/list/cs.DB/new
[1/1]:
- QUEST: Query Optimization in Unstructured Document Analysis
Sun, Deng, Chai, Jin, Guo, Han, Yuan, Wang, Cao

Replaced article(s) found for cs.DB. https://arxiv.org/list/cs.DB/new
[1/1]:
- Scalable Graph Indexing using GPUs for Approximate Nearest Neighbor Search
Zhonggen Li, Xiangyu Ke, Yifan Zhu, Bocheng Yu, Baihua Zheng, Yunjun Gao

[2025-07-17 Thu (UTC), 1 new article found for cs.DB Databases]
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[2025-09-17 Wed (UTC), 1 new article found for cs.DB Databases]
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