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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Newest papers, page 3
SpatialVec: A Unified Representation Learning Framework for Geospatial Objects with Boundary-Aware Sampling
Spatial representation learning is essential for Geospatial Artificial Intelligence (GeoAI) applications, enabling machine learning models to capture the geometry, location, and spatial…GraphRAGProv: GraphRAG Meets How-Provenance
GraphRAG systems often use knowledge graphs to retrieve relevant context for an LLM that produces the final answer.Constraining the Commit Boundary: A DIO/ODI-Informed Authorization Guardrail for Agentic Entity Resolution
Agentic Entity Resolution (ER) systems iteratively plan actions, retrieve evidence, revise hypotheses, and propose graph mutations.What Does an Ontology Catch? Curated, LLM-Generated and Data-Derived Ontologies as Checkers of LLM Agents over Knowledge Graphs
LLM agents that answer questions over Web knowledge graphs are increasingly wrapped in checks derived from the graph's ontology, on the assumption that a formal schema makes a reliable judge.CoPE-CGL: Community-aware Prototype Extraction for Replay-Free Continual Graph Learning
Continual graph learning (CGL) maintains models as graphs evolve without retraining from scratch, while mitigating catastrophic forgetting.Hypergraph-Enhanced Evidence Selection for Long-Context Multimodal Document QA
Long-context multimodal document question answering (QA) has become an important yet challenging task for modern vision-language models (VLMs), as it requires reasoning over evidence dispersed…Recovering Business Rules as Cascade Lookups for Enterprise Field Prediction
Enterprise sales-order systems rely on manually maintained configuration rules to determine fields such as payment terms, shipping points, and sales ownership.EnvLunch: The Environment as a Free Lunch for Learning to Interact
For agentic data analysis, language-model agents often require a large number of annotated tasks to learn how to interact effectively with executable environments (i.e., databases).Bridging Search Intent and Tabular Data in Dataset Search
Dataset search remains a bottleneck in data analysis workflows, as existing systems largely rely on keyword matching or shallow retrieval that fail to capture user intent.Scaling Graph Query Processing: Focused Exploration on Partitions Using Load Balancing
The focus of this paper is on query processing and not search (approximate or exact).Holo-NN: Holographic Nearest Neighbor Search via Compressive Sensing
In the age of AI, privacy-preserving approximate nearest neighbor (ANN) search over high-dimensional embeddings has emerged as a critical yet frustratingly challenging domain, dominated by tradeoffs…Deterministic Root-Finding over Finite Fields with Elliptic Curves
Finding the roots of a polynomial over a finite field $\mathbb F_q$ in deterministic polynomial time is a long-standing open problem.TT-SAX: A Two-Track Time Series Symbolization for Natural Language Shape Querying
Natural language querying for time series databases aims to let users find what they need in long histories of data by asking in plain language.Automated Enrichment Analysis with GraphRAG: Efficient Multi-Database ORA Extraction and Biological Interpretation
Over-representation analysis (ORA) is widely used to interpret gene-expression studies, but its outputs are often fragmented across gene-set databases and presented as flat term lists that obscure…Contestable Agents for Data Governance: Recording Human Stewardship of AI-Generated Metadata Across Structured and Unstructured Systems
Industrial organizations hold operational knowledge in structured records, such as telemetry, point lists, and transactions, and in unstructured sources, such as manuals, service notes…Conflicted Records: Typed Adversarial Contracts for Auditable LLM Output Quality Enforcement
LLM-generated records increasingly populate production information systems where they are treated as data assets subject to the same quality expectations as records from operational databases.Getting a GRIP on Graph-Based Search for Learned Sparse Retrieval
Learned sparse retrieval (LSR) has recently gained traction in the information retrieval community for the ability to combine the generalization capabilities of neural representations with the…TriGeoBench: A Multimodal Mathematical Geometry Benchmark with Figures and TikZ
Multimodal Large Language Models show strong vision-language capabilities, yet their geometry-centric reasoning remains insufficiently understood.Local Inference of LLMs on Long Contexts: A Data Systems Perspective
Large language models can solve complex problems across a variety of subjects, such as mathematics and coding.MultiCard: Multiple Attribute Cardinality Estimation via Deep Learning
Cardinality estimation is essential for query optimization, but most existing learned estimators focus on a single predicate type, such as string LIKE clauses or numerical range filters.