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 9
EvoOntology: A Self-Evolving Ontology Layer for Data Agents
Data agents aim to fulfill natural-language instructions over heterogeneous data, including tables, files, and databases.Scalable Triangle Counting: The Threshold Algorithm
We study one-pass triangle counting on random-order edge streams.Privacy-enhanced federated learning via asynchronous aggregation and local differential perturbation
This study proposes a privacy-enhanced federated learning framework to address secure collaborative training in distributed data environments.Towards Anticipatory Databases Through Shared Data and Workload Semantics
Database management systems increasingly serve dynamic and exploratory workloads, yet many of their decisions still rely on low-level signals such as recency, frequency, and address locality.Natural Language Knowledge Graph Query Execution: Leveraging Controlled Semantics in the LLM Context Window
Large Language Model (LLM) applications often transfer domain concepts into the model's context informally, through prompt prose, schema dumps, and examples.The Stochastic Deputy: Structural Tenant Isolation for Tool-Using LLM Agents
Multi-tenant tools commonly accept a tenant identifier and validate it against the caller's entitlement.Cost Characterization of Vertically Partitioned Federated Knowledge Graphs
Knowledge graphs are increasingly distributed across autonomous organizations that share an entity space but own disjoint subsets of relations, forming a vertical partition.Semantic Knowledge Technologies: what the Semantic Web lost sight of, and what it never had
The Semantic Web set out to give information a machine-interpretable form so that software could integrate and reason over it.NovaFabric: Tamper-Evident, Replayable Evidence for Autonomous AI Agent Runs
When an autonomous AI agent does something consequential, what can be proven about what it did?VikingRAG: Accurate and Token-efficient Retrieval-augmented Generation over Structured Documents
State-of-the-art retrieval-augmented generation (RAG) methods exploit document structures to acquire sufficient evidence, but often incur substantial token costs.From Experiments to Decisions: Reusing Evidence in Autonomous Coding Research
Autonomous coding agents can remember an experiment yet carry forward a conclusion it does not justify.Introducing Consort: A Spec-First Agent Framework for Enforced, Test-Driven Development on Live Database Branches
When an agent writes code, the development framework becomes the control system for a non-deterministic worker.When Does Low-Bit Quantization Preserve the Decisions of Vector Search?
Low-bit quantization can achieve high recall on some vector representations and fail sharply on others, while average distortion and global rank correlation do not explain the difference.ECDSA.Fail: Open Autoresearch for Optimizing Elliptic-Curve Point Addition in Shor's Algorithm
We propose Open Autoresearch, a paradigm in which humans and AI agents publish evaluator-verified improvements to a public leaderboard.Governed Human-AI Prioritization Under Uncertainty: Adaptive Estimation and Dependency-Constrained Portfolio Selection
AI-native software engineering increasingly combines human judgment, historical analogy, parametric estimation, and AI-generated forecasts in the same prioritization decision.What Eviction Destroys: A Restore-Counterfactual Audit of Forgetting in Agent Memory
Agent memory systems must discard stored information when their history exceeds a fixed token budget.OntoKG-EQ: A provenance-grounded, competency-question-governed knowledge graph for auditable analyst querying
Analysts in emerging equity markets keep answering the same questions.SQLMorph: Query Mutation and Fine-Grained Metrics for Text-to-SQL Evaluation
Text-to-SQL systems translate natural language queries into executable SQL, democratizing access to structured data.Protocol effects on feature-based hardware-Trojan detection across Trust-Hub families
Trust-Hub reuses host circuits: several files differ mainly in the inserted Trojan.Open Tabular Insight Extraction: Where Do We Stand, and Where Should We Go?
Democratizing access to the knowledge held in large corpora of tables such as data lakes is emerging as a central research challenge.