Systems & Networks · Computer Science & AI
Databases
The newest papers in Databases that ReadSearch has read, newest first. Each links to its own page, with its authors, date, where it was published and the original.
202 papers, from 31 August 2026 to 5 November 2026: 170 arXiv preprints and 32 OpenAlex records.
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SweepANN: A GPU-Accelerated Large-K Approximate Vector Search for Drug Discovery
DrugCLIP places small molecules and protein pockets in one space, turning genome-wide drug discovery into large-K retrieval by vector proximity.HCFM: Helmholtz Component Flow Matching for Time Series Anomaly Detection
Flow Matching (FM) is an efficient simulation-free approach for training flow-based generative models, making it a promising foundation for scalable time-series anomaly detection (TSAD).Which Code Changes Need Re-embedding? CIPBench and the Limits of Multi-Signal Index Maintenance
Repository-level retrieval-augmented generation systems must keep vector indexes synchronized with continuously evolving code, yet there is no principled basis for deciding which changed code units…RemoteANN: A Native Vector Search Engine for Cloud Object Storage
Vector search engines built on cloud object storage have drawn growing attention from both academia and industry.MemDerive: A Diagnostic Benchmark for Agent Memory over Evolving Data
Long-running agents rely on memory of their past interactions for task state, such as what has been completed and which conditions still hold.Enumerating Small Potential Maximal Cliques with Fixed-Parameter Delay
A potential maximal clique (PMC) of a graph $G$ is a nonempty vertex set that forms a maximal clique in some minimal triangulation of $G$.Reusing Calibration Gains across Model Representations
Scale calibration learns an update for one model representation.NL2SQL with Iterative Self-Refinement
Bridging the gap between human intent and machine logic remains a critical challenge in data access for non-technical users, yet Large Language Models (LLMs) remain unreliable: they hallucinate…Designing for Imperfect Prompts: A Simulation-Based Evaluation of an LLM-Based Enterprise Data Assistant Using Knowledge Graphs
Enterprise data assistants using large language models (LLMs) promise democratized data access in organizations.AgentOnto: Ontology-Guided LLM Agents for Enterprise Data Analytics
Enterprise data analysis requires agents to connect analytical requests with knowledge distributed across databases, business documents, and existing example tasks.FAOPs: Normal Forms and an Algebra for AI Agent Workflows
Organizations increasingly encode operational procedures as multi-step agent skills, here called Agent Operating Procedures (AOPs), that must be traceable, auditable, reproducible…Data Provenance Aggregation and Structural Descriptors for Query-Template Identification
Runtime query similarity identification supports several activities, including workload analysis, identifying recurring behaviour, auditing, debugging, and anomaly detection.ACE: An AI-Orchestrated Intrusion Detection and Compliance Mapping Engine
This study proposes the Automated Compliance Engine (ACE), an AI-orchestrated framework that links intrusion detection, regulatory control mapping, and automated countermeasure deployment for…RT-J: Large-Scale Pretraining of Relational Transformers for Context-Efficient Predictions
Foundation models for tables and relational databases are increasingly used for predictive tasks across various scientific and industrial domains.Towards Training and Inference of Graph Neural Networks in Graph Databases
Graph Neural Networks on large graphs commonly rely on in-memory graph storage with ad hoc data processing pipelines for both training and inference.Tracing Knowledge Lineage for Federated Unlearning under Mutual Distillation
An edge server and nearby devices can train language models of different sizes together by mutual distillation.ML Engineering Agents - A Data Management Perspective
Machine learning engineering (MLE) agents are emerging as a new paradigm for automating end-to-end ML pipeline development.Gugak-VocalSet: A Multi-Genre Studio-Quality Dataset of Korean Traditional Singing with Sigimsae Annotations
We present Gugak-VocalSet, the first publicly available audio dataset for Korean traditional singing with dense annotations of sigimsae, a structured pitch contour system of vocal expressions.TL;QR: Querying Temporal Discursive Patterns in Textual Corpora
Many questions about large textual corpora concern patterns that unfold over time, such as a political group whose stance on a topic drifts from support to criticism over several years of debates.LYNX: Analytical Program Synthesis via Grounding and Closed-Loop Refinement
LLM-powered data analytics aims to translate natural language instructions into executable analytical programs over underlying data.