Tootfinder

The Hybrid Multimodal Graph Index (HMGI): A Comprehensive Framework for Integrated Relational and Vector Search
Joydeep Chandra, Satyam Kumar Navneet, Yong Zhang
https://arxiv.org/abs/2510.10123

The Hybrid Multimodal Graph Index (HMGI): A Comprehensive Framework for Integrated Relational and Vector Search
The proliferation of complex, multimodal datasets has exposed a critical gap between the capabilities of specialized vector databases and traditional graph databases. While vector databases excel at semantic similarity search, they lack the capacity for deep relational querying. Conversely, graph databases master complex traversals but are not natively optimized for high-dimensional vector search. This paper introduces the Hybrid Multimodal Graph Index (HMGI), a novel framework designed to brid…

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

Wherever students, researchers or staff are working from, they should have secure access to the resources they need.
#eduVPN makes that possible.
Created by and for the R&E community, it provides secure off-campus access to library systems, journals, specialised databases and more.
Already used by 200 institutions in 20 countries.
🔗 Learn how to get started:

Domain-Adapted Pre-trained Language Models for Implicit Information Extraction in Crash Narratives
Xixi Wang, Jordanka Kovaceva, Miguel Costa, Shuai Wang, Francisco Camara Pereira, Robert Thomson
https://arxiv.org/abs/2510.09434

Domain-Adapted Pre-trained Language Models for Implicit Information Extraction in Crash Narratives
Free-text crash narratives recorded in real-world crash databases have been shown to play a significant role in improving traffic safety. However, large-scale analyses remain difficult to implement as there are no documented tools that can batch process the unstructured, non standardized text content written by various authors with diverse experience and attention to detail. In recent years, Transformer-based pre-trained language models (PLMs), such as Bidirectional Encoder Representations from…

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

https://techcrunch.com/2025/10/03/hacking-group-claims-theft-of-1-billion-records-from-salesforce-customer-databases/
Hacking group claims theft of 1 billion records from Salesforce customer databases

Hacking group claims theft of 1 billion records from Salesforce customer databases | TechCrunch
The hacking group claims to have stolen about a billion records from companies, including FedEx, Qantas, and TransUnion, who store their customer and company data in Salesforce.

Lapsus$ publishes a data leak site on the dark web threatening to release about ~1B records stolen from Salesforce-hosted customer databases (TechCrunch)
https://techcrunch.com/2025/10/03/hacking-group-claims-theft-of-1-bi…

Hacking group claims theft of 1 billion records from Salesforce customer databases | TechCrunch
The hacking group claims to have stolen about a billion records from companies, including FedEx, Qantas, and TransUnion, who store their customer and company data in Salesforce.

Are diffusion models ready for materials discovery in unexplored chemical space?
Sanghyun Kim, Gihyeon Jeon, Seungwoo Hwang, Jiho Lee, Jisu Jung, Seungwu Han, Sungwoo Kang
https://arxiv.org/abs/2510.09406

Are diffusion models ready for materials discovery in unexplored chemical space?
While diffusion models are attracting increasing attention for the design of novel materials, their ability to generate low-energy structures in unexplored chemical spaces has not been systematically assessed. Here, we evaluate the performance of two diffusion models, MatterGen and DiffCSP, against three databases: a ternary oxide set (constructed by a genetic algorithm), a ternary nitride set (constructed by template informatics), and the GNoME database (constructed by a combination of both). …

Homomorphism Problems in Graph Databases and Automatic Structures
R\'emi Morvan
https://arxiv.org/abs/2510.07422 https://arxiv.org/pdf/2510.07422

Homomorphism Problems in Graph Databases and Automatic Structures
This thesis investigates the central role of homomorphism problems (structure-preserving maps) in two complementary domains: database querying over finite, graph-shaped data, and constraint solving over (potentially infinite) structures. Building on the well-known equivalence between conjunctive query evaluation and homomorphism existence, the first part focuses on conjunctive regular path queries, a standard extension of conjunctive queries that incorporates regular-path predicates. We study t…

Replaced article(s) found for cs.DB. https://arxiv.org/list/cs.DB/new
[1/1]:
- DiskJoin: Large-scale Vector Similarity Join with SSD
Yanqi Chen, Xiao Yan, Alexandra Meliou, Eric Lo

MuFASA -- Asynchronous Checkpoint for Weakly Consistent Fully Replicated Databases
Raaghav Ravishankar, Sandeep Kulkarni, Nitin H Vaidya
https://arxiv.org/abs/2510.06404 https:/…

MuFASA -- Asynchronous Checkpoint for Weakly Consistent Fully Replicated Databases
We focus on the problem of checkpointing in fully replicated weakly consistent distributed databases, which we refer to as Distributed Transaction Consistent Snapshot (DTCS). A typical example of such a system is a main-memory database that provides strong eventual consistency. This problem is important and challenging for several reasons: (1) eventual consistency often creates anomalies that the users do not anticipate. Hence, frequent checkpoints to ascertain desired invariants is highly bene…

Virginia brothers charged with hacking, deleting federal databases holding FOIA info https://therecord.media/twin-brothers-arrested-hacking-deleting-foia-databases

Two Virginia Men Arrested for Conspiring to Destroy Government Databases (US Department of Justice)
https://www.justice.gov/opa/pr/two-virginia-men-arrested-conspiring-destroy-government-databases
http://www.memeorandum.com/251204/p76#a251204p76

Unclear to me why no one ever mentions Strongbox in #PasswordManager reviews. It is a perfectly fine PM for macOS/iOS/iPadOS that has a rich set of sync options, most of which don't involve any 2nd/3rd party storage. It stores its databases in KeePass2.x (kdbx v4) format, so it is data-compatible with the many variations of KeePass.
(I use it with SSH/SCP sync, so as long as I’m at…

Best headline in the GOV.UK news feed today
> Framework for interrogation of honey authenticity databases
https://www.gov.uk/government/news/framework-for-interrogation-of-honey-authenticity-databases

Framework for interrogation of honey authenticity databases
A project, commissioned under Defra’s Food Authenticity Programme, to develop a practical framework for the interrogation of honey authenticity databases.

Crosslisted article(s) found for cs.DB. https://arxiv.org/list/cs.DB/new
[1/1]:
- RFOD: Random Forest-based Outlier Detection for Tabular Data
Yihao Ang, Peicheng Yao, Yifan Bao, Yushuo Feng, Qiang Huang, Anthony K. H. Tung, Zhiyong Huang

Crosslisted article(s) found for cs.DB. https://arxiv.org/list/cs.DB/new
[1/1]:
- Aegis: A Correlation-Based Data Masking Advisor for Data Sharing Ecosystems
Laskar, Khozestani, Nankani, Nia, Roy, Beedkar

Replaced article(s) found for cs.DB. https://arxiv.org/list/cs.DB/new
[1/1]:
- Learning-based Sketches for Frequency Estimation in Data Streams without Ground Truth
Xinyu Yuan, Yan Qiao, Meng Li, Zhenchun Wei, Cuiying Feng, Zonghui Wang, Wenzhi Chen

Russian missile barrage disrupts internet, customs databases in Ukraine https://therecord.media/russian-missile-barrage-disrupts-internet-ukraine

The US DOJ has indicted two Virginia brothers, Muneeb and Sohaib Akhter, for allegedly deleting 96 US government databases while working as Opexus contractors (Sam Sabin/Axios)
https://www.axios.com/2025/12/03/virgina-twins-doj-arrest-opexus-data-breaches

Virginia brothers arrested for allegedly tampering with government databases
The brothers worked for a contractor and previously pled guilty for hacking into the State Department.

Crosslisted article(s) found for cs.FL. https://arxiv.org/list/cs.FL/new
[1/1]:
- Homomorphism Problems in Graph Databases and Automatic Structures
R\'emi Morvan

Differentially Private Synthetic Text Generation for Retrieval-Augmented Generation (RAG)
Junki Mori, Kazuya Kakizaki, Taiki Miyagawa, Jun Sakuma
https://arxiv.org/abs/2510.06719

Differentially Private Synthetic Text Generation for Retrieval-Augmented Generation (RAG)
Retrieval-Augmented Generation (RAG) enhances large language models (LLMs) by grounding them in external knowledge. However, its application in sensitive domains is limited by privacy risks. Existing private RAG methods typically rely on query-time differential privacy (DP), which requires repeated noise injection and leads to accumulated privacy loss. To address this issue, we propose DP-SynRAG, a framework that uses LLMs to generate differentially private synthetic RAG databases. Unlike prior…

Scaling #Postgres
https://www.pgedge.com/blog/scaling-postgres

Hivemind: Today in a beginner-level #DigitalHumanities course I did an introduction to relational databases. I think it should be possible to use the concepts of RDMSs (multiple tables, keys, relations, …) without diving into SQL. But I’m still struggling to find a versatile tool for this. What are your favorites?

Wow, I nearly missed that announcement! The CNRS (the main national research agency of France, that happens to be one of Europe's largest) will stop paying for Clarivate's Web of Science and instead turns to open databases like OpenAlex!
https://www.cnrs.fr/en/update/cnrs-breaking-free-web-science

📡 'Mind-captioning' technique can read human thoughts from brain scans
https://medicalxpress.com/news/2025-11-mind-captioning-technique-human-thoughts.html

'Mind-captioning' technique can read human thoughts from brain scans
Reading brain activity with advanced technologies is not a new concept. However, most techniques have focused on identifying single words associated with an object or action a person is seeing or thinking of, or matching up brain signals that correspond to spoken words. Some methods used caption databases or deep neural networks, but these approaches were limited by database word coverage or introduced information not present in the brain. Generating detailed, structured descriptions of complex…

[2025-10-13 Mon (UTC), 2 new articles found for cs.DB Databases]
toXiv_bot_toot

Immigration and Customs Enforcement (#ICE) will seine Fähigkeiten im #PredictivePolicing ausbauen und macht eine Ausschreibung für Datendienstleister:
"The contractor will research and analyze data from commercial and law enforcement databases as well as other publicly accessib…

Towson University students moved their “No Kings” rally off campus
after a school official told them speakers’ names would be run through federal government databases and vetted for security reasons.
The demonstration, one of dozens planned in Maryland on Saturday,
will protest authoritarian policies of President Donald Trump.
Students moved the event, fearing that speakers would be targeted by the Trump administration,
which has threatened to pursue and punish …

Towson U. ‘No Kings’ rally relocates over speaker background checks
Towson University students moved their “No Kings” rally off campus after school officials told them speakers’ names would be run through federal government databases and vetted for security reasons.

[2025-10-14 Tue (UTC), 9 new articles found for cs.DB Databases]
toXiv_bot_toot

Team Xiaomi EV-AD VLA: Caption-Guided Retrieval System for Cross-Modal Drone Navigation - Technical Report for IROS 2025 RoboSense Challenge Track 4
Lingfeng Zhang, Erjia Xiao, Yuchen Zhang, Haoxiang Fu, Ruibin Hu, Yanbiao Ma, Wenbo Ding, Long Chen, Hangjun Ye, Xiaoshuai Hao
https://arxiv.org/abs/2510.02728…

Team Xiaomi EV-AD VLA: Caption-Guided Retrieval System for Cross-Modal Drone Navigation - Technical Report for IROS 2025 RoboSense Challenge Track 4
Cross-modal drone navigation remains a challenging task in robotics, requiring efficient retrieval of relevant images from large-scale databases based on natural language descriptions. The RoboSense 2025 Track 4 challenge addresses this challenge, focusing on robust, natural language-guided cross-view image retrieval across multiple platforms (drones, satellites, and ground cameras). Current baseline methods, while effective for initial retrieval, often struggle to achieve fine-grained semantic…

Investigating Industry--Academia Collaboration in Artificial Intelligence: PDF-Based Bibliometric Analysis from Leading Conferences
Kazuhiro Yamauchi, Marie Katsurai
https://arxiv.org/abs/2510.01593

Investigating Industry--Academia Collaboration in Artificial Intelligence: PDF-Based Bibliometric Analysis from Leading Conferences
This study presents a bibliometric analysis of industry--academia collaboration in artificial intelligence (AI) research, focusing on papers from two major international conferences, AAAI and IJCAI, from 2010 to 2023. Most previous studies have relied on publishers and other databases to analyze bibliographic information. However, these databases have problems, such as missing articles and omitted metadata. Therefore, we adopted a novel approach to extract bibliographic information directly fro…

Towards Reliable Retrieval in RAG Systems for Large Legal Datasets
Markus Reuter, Tobias Lingenberg, R\=uta Liepi\c{n}a, Francesca Lagioia, Marco Lippi, Giovanni Sartor, Andrea Passerini, Burcu Sayin
https://arxiv.org/abs/2510.06999

Towards Reliable Retrieval in RAG Systems for Large Legal Datasets
Retrieval-Augmented Generation (RAG) is a promising approach to mitigate hallucinations in Large Language Models (LLMs) for legal applications, but its reliability is critically dependent on the accuracy of the retrieval step. This is particularly challenging in the legal domain, where large databases of structurally similar documents often cause retrieval systems to fail. In this paper, we address this challenge by first identifying and quantifying a critical failure mode we term Document-Leve…

DiLi: A Lock-Free Asynchronously Distributable Linked List
Raaghav Ravishankar, Sandeep Kulkarni, Sathya Peri, Gokarna Sharma
https://arxiv.org/abs/2510.06387 https://

DiLi: A Lock-Free Asynchronously Distributable Linked List
Modern databases use dynamic search structures that store a huge amount of data, and often serve them using multi-threaded algorithms to support the ever-increasing throughput needs. When this throughput need exceeds the capacity of the machine hosting the structure, one either needs to replace the underlying hardware (an option that is typically not viable and introduces a long down time) or make the data structure distributed. Static partitioning of the data structure for distribution is not …

Haha, this is funny. You probably know the ACID properties for databases: atomicity, consistency, isolation, durability. Turns out that /dev/null fulfills all four of them: https://jyu.dev/blog/why-dev-null-is-an-acid-compliant-database/

ProRe: A Proactive Reward System for GUI Agents via Reasoner-Actor Collaboration
Gaole Dai, Shiqi Jiang, Ting Cao, Yuqing Yang, Yuanchun Li, Rui Tan, Mo Li, Lili Qiu
https://arxiv.org/abs/2509.21823

ProRe: A Proactive Reward System for GUI Agents via Reasoner-Actor Collaboration
Reward is critical to the evaluation and training of large language models (LLMs). However, existing rule-based or model-based reward methods struggle to generalize to GUI agents, where access to ground-truth trajectories or application databases is often unavailable, and static trajectory-based LLM-as-a-Judge approaches suffer from limited accuracy. To address these challenges, we propose ProRe, a proactive reward system that leverages a general-purpose reasoner and domain-specific evaluator a…

Revisiting Modeling and Evaluation Approaches in Speech Emotion Recognition: Considering Subjectivity of Annotators and Ambiguity of Emotions
Huang-Cheng Chou, Chi-Chun Lee
https://arxiv.org/abs/2510.05934

Revisiting Modeling and Evaluation Approaches in Speech Emotion Recognition: Considering Subjectivity of Annotators and Ambiguity of Emotions
Over the past two decades, speech emotion recognition (SER) has received growing attention. To train SER systems, researchers collect emotional speech databases annotated by crowdsourced or in-house raters who select emotions from predefined categories. However, disagreements among raters are common. Conventional methods treat these disagreements as noise, aggregating labels into a single consensus target. While this simplifies SER as a single-label task, it ignores the inherent subjectivity of…

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

Bubble, Bubble, AI's Rumble: Why Global Financial Regulatory Incident Reporting is Our Shield Against Systemic Stumbles
Anchal Gupta, Gleb Pappyshev, James T Kwok
https://arxiv.org/abs/2509.26150

Bubble, Bubble, AI's Rumble: Why Global Financial Regulatory Incident Reporting is Our Shield Against Systemic Stumbles
"Double, double toil and trouble; Fire burn and cauldron bubble." As Shakespeare's witches foretold chaos through cryptic prophecies, modern capital markets grapple with systemic risks concealed by opaque AI systems. According to IMF, the August 5, 2024, plunge in Japanese and U.S. equities can be linked to algorithmic trading yet ab-sent from existing AI incidents database exemplifies this transparency crisis. Current AI incident databases, reliant on crowdsourcing or news scraping, systematic…

Prosecutors seek 7-year prison term for ‘sophisticated’ PowerSchool hacker https://therecord.media/powerschool-prison-sentence-hacker

ToolTweak: An Attack on Tool Selection in LLM-based Agents
Jonathan Sneh, Ruomei Yan, Jialin Yu, Philip Torr, Yarin Gal, Sunando Sengupta, Eric Sommerlade, Alasdair Paren, Adel Bibi
https://arxiv.org/abs/2510.02554

ToolTweak: An Attack on Tool Selection in LLM-based Agents
As LLMs increasingly power agents that interact with external tools, tool use has become an essential mechanism for extending their capabilities. These agents typically select tools from growing databases or marketplaces to solve user tasks, creating implicit competition among tool providers and developers for visibility and usage. In this paper, we show that this selection process harbors a critical vulnerability: by iteratively manipulating tool names and descriptions, adversaries can systema…

Crosslisted article(s) found for cs.DB. https://arxiv.org/list/cs.DB/new
[1/1]:
- Homomorphism Problems in Graph Databases and Automatic Structures
R\'emi Morvan

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

ZeroCard: Cardinality Estimation with Zero Dependence on Target Databases -- No Data, No Query, No Retraining
Xianghong Xu, Rong Kang, Xiao He, Lei Zhang, Jianjun Chen, Tieying Zhang
https://arxiv.org/abs/2510.07983

ZeroCard: Cardinality Estimation with Zero Dependence on Target Databases -- No Data, No Query, No Retraining
Cardinality estimation is a fundamental task in database systems and plays a critical role in query optimization. Despite significant advances in learning-based cardinality estimation methods, most existing approaches remain difficult to generalize to new datasets due to their strong dependence on raw data or queries, thus limiting their practicality in real scenarios. To overcome these challenges, we argue that semantics in the schema may benefit cardinality estimation, and leveraging such sem…

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

On the Expressiveness of Languages for Querying Property Graphs in Relational Databases
Hadar Rotschield, Liat Peterfreund
https://arxiv.org/abs/2510.07062 https://

On the Expressiveness of Languages for Querying Property Graphs in Relational Databases
SQL/PGQ is the emerging ISO standard for querying property graphs defined as views over relational data. We formalize its expressive power across three fragments: the read-only core, the read-write extension, and an extended variant with richer view definitions. Our results show that graph creation plays a central role in determining the expressiveness. The read-only fragment is strictly weaker than the read-write fragment, and the latter is still below the complexity class NL. Extending view d…

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

GRAD: Generative Retrieval-Aligned Demonstration Sampler for Efficient Few-Shot Reasoning
Oussama Gabouj, Kamel Charaf, Ivan Zakazov, Nicolas Baldwin, Robert West
https://arxiv.org/abs/2510.01165

GRAD: Generative Retrieval-Aligned Demonstration Sampler for Efficient Few-Shot Reasoning
Large Language Models (LLMs) achieve strong performance across diverse tasks, but their effectiveness often depends on the quality of the provided context. Retrieval-Augmented Generation (RAG) enriches prompts with external information, but its reliance on static databases constrains adaptability and can result in irrelevant demonstrations. In this work, we propose a Generative Retrieval-Aligned Demonstrator (GRAD), a dynamic demonstration-based approach where an LLM model is trained to generat…

Replaced article(s) found for cs.DB. https://arxiv.org/list/cs.DB/new
[1/1]:
- GNN-based Path Embeddings for Efficient and Exact Subgraph Matching (Technical Report)
Yutong Ye, Xiang Lian, Mingsong Chen

PAT: Pattern-Perceptive Transformer for Error Detection in Relational Databases
Jian Fu, Xixian Han, Xiaolong Wan, Wenjian Wang
https://arxiv.org/abs/2509.25907 https://

PAT: Pattern-Perceptive Transformer for Error Detection in Relational Databases
Error detection in relational databases is critical for maintaining data quality and is fundamental to tasks such as data cleaning and assessment. Current error detection studies mostly employ the multi-detector approach to handle heterogeneous attributes in databases, incurring high costs. Additionally, their data preprocessing strategies fail to leverage the variable-length characteristic of data sequences, resulting in reduced accuracy. In this paper, we propose an attribute-wise PAttern-per…

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

Replaced article(s) found for cs.DB. https://arxiv.org/list/cs.DB/new
[1/1]:
- FastER: On-Demand Entity Resolution in Property Graphs
Wang, Zhao, Miao, Kwashie, Bewong, Hu, Nofong, Feng
…

Crosslisted article(s) found for cs.DB. https://arxiv.org/list/cs.DB/new
[1/1]:
- Knowledge Graph-Guided Multi-Agent Distillation for Reliable Industrial Question Answering with D...
Jiqun Pan, Zhenke Duan, Jiani Tu, Anzhi Cheng, Yanqing Wang

[2025-10-10 Fri (UTC), 4 new articles found for cs.DB Databases]
toXiv_bot_toot

MobilityDuck: Mobility Data Management with DuckDB
Nhu Ngoc Hoang, Ngoc Hoa Pham, Viet Phuong Hoang, Esteban Zim\'anyi
https://arxiv.org/abs/2510.07963 https://

MobilityDuck: Mobility Data Management with DuckDB
The analytics of spatiotemporal data is increasingly important for mobility analytics. Despite extensive research on moving object databases (MODs), few systems are ready on production or lightweight enough for analytics. MobilityDB is a notable system that extends PostgreSQL with spatiotemporal data, but it inherits complexity of the architecture as well. In this paper, we present MobilityDuck, a DuckDB extension that integrates the MEOS library to provide support spatiotemporal and other temp…

Replaced article(s) found for cs.DB. https://arxiv.org/list/cs.DB/new
[1/1]:
- Complexity of Evaluating GQL Queries
Diego Figueira, Anthony W. Lin, Liat Peterfreund

Crosslisted article(s) found for cs.DB. https://arxiv.org/list/cs.DB/new
[1/1]:
- Improving Clinical Dataset Condensation with Mode Connectivity-based Trajectory Surrogates
Nganjimi, Soltan, Belgrave, Clifton, Clifton, Thakur

A New Normalization Form for Limited Distinct Attributes
Niko S. Snell, Rayen C. Lee
https://arxiv.org/abs/2510.02865 https://arxiv.org/pdf/2510.02865

A New Normalization Form for Limited Distinct Attributes
In modern databases, the practice of data normalization continues to be important in improving data integrity, minimizing redundancies, and eliminating anomalies. However, since its inception and consequent improvements, there have been no attempts to document a method which constrains the values of attributes capable of only possessing a limited quantity of values. These non-limited distinct attributes pose a problem throughout many relational databases as they have the potential to cause data…

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

[2025-10-09 Thu (UTC), 4 new articles found for cs.DB Databases]
toXiv_bot_toot

Relational Database Distillation: From Structured Tables to Condensed Graph Data
Xinyi Gao, Jingxi Zhang, Lijian Chen, Tong Chen, Lizhen Cui, Hongzhi Yin
https://arxiv.org/abs/2510.06980

Relational Database Distillation: From Structured Tables to Condensed Graph Data
Relational databases (RDBs) underpin the majority of global data management systems, where information is structured into multiple interdependent tables. To effectively use the knowledge within RDBs for predictive tasks, recent advances leverage graph representation learning to capture complex inter-table relations as multi-hop dependencies. Despite achieving state-of-the-art performance, these methods remain hindered by the prohibitive storage overhead and excessive training time, due to the m…

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

Replaced article(s) found for cs.DB. https://arxiv.org/list/cs.DB/new
[1/1]:
- Causality-Based Scores Alignment in Explainable Data Management
Felipe Azua, Leopoldo Bertossi

Crosslisted article(s) found for cs.DB. https://arxiv.org/list/cs.DB/new
[1/1]:
- MetaMP: Seamless Metadata Enrichment and AI Application Framework for Enhanced Membrane Protein V...
Awotoro, Ezekannagha, Schwarz, Tauscher, Heider, Ladewig, Le Bon, Moncoq, Miroux, Hattab

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

Bridging Imperative Process Models and Process Data Queries-Translation and Relaxation
Abdur Rehman Anwar Qureshi, Adrian Rebmann, Timotheus Kampik, Matthias Weidlich, Mathias Weske
https://arxiv.org/abs/2510.06414

Bridging Imperative Process Models and Process Data Queries-Translation and Relaxation
Business process management is increasingly practiced using data-driven approaches. Still, classical imperative process models, which are typically formalized using Petri nets, are not straightforwardly applicable to the relational databases that contain much of the available structured process execution data. This creates a gap between the traditional world of process modeling and recent developments around data-driven process analysis, ultimately leading to the under-utilization of often read…

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

Replaced article(s) found for cs.DB. https://arxiv.org/list/cs.DB/new
[1/1]:
- Galley: Modern Query Optimization for Sparse Tensor Programs
Kyle Deeds, Willow Ahrens, Magda Balazinska, Dan Suciu

Crosslisted article(s) found for cs.DB. https://arxiv.org/list/cs.DB/new
[1/1]:
- OpenZL: A Graph-Based Model for Compression
Collet, Terrell, Handte, Rozenblit, Zhang, Zhang, Goldschlag, Lee, Riegel, Angelov, Rotem

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

[2025-10-08 Wed (UTC), 2 new articles found for cs.DB Databases]
toXiv_bot_toot

EMR-AGENT: Automating Cohort and Feature Extraction from EMR Databases
Kwanhyung Lee, Sungsoo Hong, Joonhyung Park, Jeonghyeop Lim, Juhwan Choi, Donghwee Yoon, Eunho Yang
https://arxiv.org/abs/2510.00549

EMR-AGENT: Automating Cohort and Feature Extraction from EMR Databases
Machine learning models for clinical prediction rely on structured data extracted from Electronic Medical Records (EMRs), yet this process remains dominated by hardcoded, database-specific pipelines for cohort definition, feature selection, and code mapping. These manual efforts limit scalability, reproducibility, and cross-institutional generalization. To address this, we introduce EMR-AGENT (Automated Generalized Extraction and Navigation Tool), an agent-based framework that replaces manual r…

Replaced article(s) found for cs.DB. https://arxiv.org/list/cs.DB/new
[1/1]:
- Dinkel: State-Aware and Granular Framework for Validating Graph Databases
Celine W\"ust, Zu-Ming Jiang, Zhendong Su

STARQA: A Question Answering Dataset for Complex Analytical Reasoning over Structured Databases
Mounica Maddela, Lingjue Xie, Daniel Preotiuc-Pietro, Mausam
https://arxiv.org/abs/2509.19508

STARQA: A Question Answering Dataset for Complex Analytical Reasoning over Structured Databases
Semantic parsing methods for converting text to SQL queries enable question answering over structured data and can greatly benefit analysts who routinely perform complex analytics on vast data stored in specialized relational databases. Although several benchmarks measure the abilities of text to SQL, the complexity of their questions is inherently limited by the level of expressiveness in query languages and none focus explicitly on questions involving complex analytical reasoning which requir…

[2025-10-07 Tue (UTC), 3 new articles found for cs.DB Databases]
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QueryGym: Step-by-Step Interaction with Relational Databases
Haritha Ananthakrishanan, Harsha Kokel, Kelsey Sikes, Debarun Bhattacharjya, Michael Katz, Shirin Sohrabi, Kavitha Srinivas
https://arxiv.org/abs/2509.21674

QueryGym: Step-by-Step Interaction with Relational Databases
We introduce QueryGym, an interactive environment for building, testing, and evaluating LLM-based query planning agents. Existing frameworks often tie agents to specific query language dialects or obscure their reasoning; QueryGym instead requires agents to construct explicit sequences of relational algebra operations, ensuring engine-agnostic evaluation and transparent step-by-step planning. The environment is implemented as a Gymnasium interface that supplies observations -- including schema …

[2025-10-06 Mon (UTC), 1 new article 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]:
- GeoSQL-Eval: First Evaluation of LLMs on PostGIS-Based NL2GeoSQL Queries
Shuyang Hou, Haoyue Jiao, Ziqi Liu, Lutong Xie, Guanyu Chen, Shaowen Wu, Xuefeng Guan, Huayi Wu

Crosslisted article(s) found for cs.DB. https://arxiv.org/list/cs.DB/new
[1/1]:
- Ensemble Threshold Calibration for Stable Sensitivity Control
John N. Daras
http…

Replaced article(s) found for cs.DB. https://arxiv.org/list/cs.DB/new
[1/1]:
- Range (R\'enyi) Entropy Queries and Partitioning
Aryan Esmailpour, Sanjay Krishnan, Stavros Sintos

Crosslisted article(s) found for cs.DB. https://arxiv.org/list/cs.DB/new
[1/1]:
- Towards a Framework for Supporting the Ethical and Regulatory Certification of AI Systems
Fabian Kovac, et al.

A decentralized future for the open-science databases
Gaurav Sharma, Viorel Munteanu, Nika Mansouri Ghiasi, Jineta Banerjee, Susheel Varma, Luca Foschini, Kyle Ellrott, Onur Mutlu, Dumitru Ciorb\u{a}, Roel A. Ophoff, Viorel Bostan, Christopher E Mason, Jason H. Moore, Despoina Sousoni, Arunkumar Krishnan, Christopher E. Mason, Mihai Dimian, Gustavo Stolovitzky, Fabio G. Liberante, Taras K. Oleksyk, Serghei Mangul

Replaced article(s) found for cs.DB. https://arxiv.org/list/cs.DB/new
[1/1]:
- KVzip: Query-Agnostic KV Cache Compression with Context Reconstruction
Jang-Hyun Kim, Jinuk Kim, Sangwoo Kwon, Jae W. Lee, Sangdoo Yun, Hyun Oh Song

Crosslisted article(s) found for cs.DB. https://arxiv.org/list/cs.DB/new
[1/1]:
- Scalable Disk-Based Approximate Nearest Neighbor Search with Page-Aligned Graph
Dingyi Kang, Dongming Jiang, Hanshen Yang, Hang Liu, Bingzhe Li

Crosslisted article(s) found for cs.DB. https://arxiv.org/list/cs.DB/new
[1/1]:
- Similarity-Based Assessment of Computational Reproducibility in Jupyter Notebooks
A S M Shahadat Hossain, Colin Brown, David Koop, Tanu Malik

[2025-10-03 Fri (UTC), no 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]:
- OxO2 -- A SSSOM mapping browser for logically sound crosswalks
Henriette Harmse, Haider Iqbal, Helen Parkinson, James McLaughlin

Crosslisted article(s) found for cs.DB. https://arxiv.org/list/cs.DB/new
[1/1]:
- A State-of-the-Art SQL Reasoning Model using RLVR
Alnur Ali, et al.
https://

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

[2025-10-02 Thu (UTC), 3 new articles found for cs.DB Databases]
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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

[2025-10-01 Wed (UTC), 5 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]:
- Representing Knowledge and Querying Data using Double-Functorial Semantics
Michael Lambert (University of Massachusetts-Boston), Evan Patterson (Topos Institute)

Crosslisted article(s) found for cs.DB. https://arxiv.org/list/cs.DB/new
[1/1]:
- Sig2Model: A Boosting-Driven Model for Updatable Learned Indexes
Alireza Heidari, Amirhossein Ahmad, Wei Zhang, Ying Xiong

[2025-09-30 Tue (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]:
- Extremal Fitting Problems for Conjunctive Queries
Balder ten Cate, Victor Dalmau, Maurice Funk, Carsten Lutz

Crosslisted article(s) found for cs.DB. https://arxiv.org/list/cs.DB/new
[1/1]:
- FusedANN: Convexified Hybrid ANN via Attribute-Vector Fusion
Alireza Heidari, Wei Zhang, Ying Xiong

Replaced article(s) found for cs.DB. https://arxiv.org/list/cs.DB/new
[1/1]:
- ACTIVE: Continuous Similarity Search for Vessel Trajectories
Tiantian Liu, Hengyu Liu, Tianyi Li, Kristian Torp, Christian S. Jensen