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 6
AptMQL-Bench: From Text-to-SQL to Text-to-MQL via Access-Pattern Schema Design and Data-Preserving Migration
Document databases such as MongoDB are core infrastructure for modern applications, and natural-language interfaces to them---text-to-MQL---would let non-experts query complex, semi-structured data…Axient: Manifest-Bound Evidence for On-Chain Financial Protocols: Seven-Layer Derivation, Correlation, Tamper Rejection, and Reproducible Claim Promotion
Hybrid on-chain financial protocols are frequently evaluated with evidence that is individually useful but collectively insufficient: a unit test, transaction receipt, screenshot, service response…Zephon: Elastic Determinism for Online, Stateful Foundation Model Data Loading Pipelines
Deterministic data loading is important for foundation model development: model researchers need confidence that differences they observe across costly ablations are caused by the parameter they…TSGuard: A Real-Time Framework for Detecting and Imputing Missing Data in Streaming Time Series
Streaming sensor applications routinely suffer from delayed or missing observations caused by faults, communication losses, or environmental interference.From Benchmarks to Production: A Text-to-SQL System for Complex Financial Data
General-purpose Text-to-SQL systems achieve strong performance on academic benchmarks like Spider and BIRD, where schemas are relatively shallow and column values are often human readable.FALCON: A Model and Dataset Agnostic Framework for Synthetic Data Generation for NL2SQL Pairs
Relational databases are among the most widely deployed forms of structured knowledge, and natural language access to them requires grounding language onto schema entities and relations while…Conjunctive Queries with Negation: Beyond Signed-Acyclicity
We study constant-delay enumeration for conjunctive queries with negation ($\texttt{CQ}^{\neg}$).A study on human-agent teaming through spoken interaction: the impact of human individual traits and agent characteristics
Human-agent teams are collaborative systems where humans and agents work interdependently to achieve shared goals.Text2Dashboard: A Governed Agent Architecture for Natural-Language Dashboard Generation over Enterprise DataBrain
Text2Dashboard is a DataBrain-specific prototype that turns natural-language analytic requests into inspectable dashboards.HakiCC: LLM-Driven Multi-Agent Design and Optimization of Concurrency Control Protocols
Large language models (LLMs) have recently been applied in systems research as a tool to reduce human-intensive engineering effort through cost-efficient automation.STEER: Reducing Inference Cost in Relational Foundation Models through Semantically Informed Sampling
Relational foundation models (RFMs) are pretrained once on a collection of relational databases and prediction tasks, and then applied zero-shot to previously unseen databases and tasks.JoinGR: Learning to Traverse Join Graphs for Table Retrieval
Retrieving the right tables is a prerequisite for Text-to-SQL over realistic databases.Detect, Explain, Interpret: An End-to-End Benchmark for Time Series Anomaly Detection, Explainability and Interpretability
Time Series Anomaly Detection has received increasing attention, driven by the growing availability of complex time series data.WIP: DBWorkout: A Gamified SQL Practice Platform to Support Formative Learning in Database Courses
This research WIP paper presents DBWorkout, a web-based platform that supports formative SQL learning through sandbox-based execution, automated result-based feedback, and session-based gamification.Can LLMs Reliably Annotate Bioassay Metadata to Improve Data Readiness?
The emergence of foundation models for molecular property prediction requires a high degree of AI data readiness, including reliable metadata annotation.Argo-Bench: Evaluating Data Agents on Enterprise-Scale Workflows
Real-world enterprise data science and analytics workflows require reasoning across dozens of tables, performing statistical analyses, and acting on the results.ArrivalBench: Agent-Generated Data Pipelines Are Correct Once and Wrong Under Time
Benchmarks for agent-generated data work grade a pipeline by running it once against a fixed snapshot.SOLO: Certified-Recall Metric Similarity Search with Scan-Only Sampled Inverted Lists
We present SOLO, an index for approximate nearest-neighbor search in general metric spaces whose serving path contains no ranking heuristic of any kind: a query is routed to the $k_s$ nearest points…A 3GPP-Compliant Benchmark Dataset for RIS-Aided Beyond 5G Networks
Reconfigurable Intelligent Surfaces (RIS) are emerging as a key technology for programmable wireless environments in the beyond the fifth generation (B5G) networks.O-Funnel: Lossless Structural Capture and Requirement-Driven Extraction from Drifting, Heterogeneous Documents
Pulling a fixed set of fields out of documents that arrive in many formats and under drifting schemas is usually done with hand-written byte patterns, which break whenever a key is renamed, a value…