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 8
Graph Memory for LLM Agents: At What Cost? A Comparative Evaluation of Query, Ingest, and Update Performance Across Graph Database Engines
Graph databases are frequently positioned as categorically necessary for connected-data workloads, yet the systems dimension along which they actually differ - query planning, indexing, and…Mind the Gaps: A Curated Benchmark for Form Field Detection
Form Field Detection (FFD) is a fundamental component of document understanding systems, enabling applications ranging from large-scale industrial digitization to accessible form interaction for…An Iterative LangGraph Agent for Text-to-SQL: Natural Language Access to the Chicago Crime Database
Non-technical stakeholders frequently cannot write the SQL needed to extract insights from operational databases.What Stops a Small Language Model From Driving a Database Agent
Small open-weight language models are assumed to fail at agentic database work because they lack the reasoning capacity for it.Goal-driven Variant Categorization
Process discovery rarely yields a single coherent process structure.Concurrency-Aware Process Model Forecasting with Causal Nets
Process model forecasting (PMF) aims to predict the process model that will characterize a future period, thereby providing a process-level view of how behavior is expected to evolve.A Policy Profile for Croissant: Refusal as a Property of the Dataset
Croissant is the de facto machine-readable descriptor for ML datasets: JSON-LD over schema.org.A Functional Pilot for Certified Freshness-Aware Semantic--Spatial Range Retrieval
Geographic applications need every object inside a radius that satisfies a semantic threshold, yet embedding indexes return approximate top-ranked lists and may omit qualifying records silently.ZigZag Trie: A Novel Index for Contextual Queries
There is increasing interest in queries about the context of a string $P$ in a longer text $T$, i.e., the set of all string pairs $(L,R)$, with $|L|=|R|=q$, for a given $q$, such that the string…Resolution limits for process comparison from event data
One hospital runs bloods and imaging at the same time.The Stochastic Shift: A New Evaluation Paradigm for Text-to-SQL with AI Operators
SQL has been augmented with AI operators, enabling modern data analytics platforms to derive insights from both structured and unstructured data.DualSQL: Text-to-SQL with Multi-Agent Reinforcement Learning
State-of-the-art Text-to-SQL systems are typically multi-agent pipelines centered around two fundamental tasks: schema linking and SQL generation.Efficiently Linking Unstructured Data for Multi-step Reasoning
Modern LLMs and AI agents increasingly support data engineering workflows that integrate evidence from unstructured sources.BI-Agent and BI-Bench: Towards Automating End-to-End Business Intelligence
Business intelligence (BI) is a cornerstone of enterprise decision-making and is widely used by enterprise users in software such as Power BI and Tableau.Locus: A Framework for Exploring and Optimizing Point Addition Hardware for Zero-Knowledge Proofs
Zero-Knowledge Proofs (ZKPs) are critical for privacy-preserving and verifiable computation, but their cryptographic primitives impose high computational overheads.The Verifiable Action Card: Trustworthy Human-in-the-Loop Control for Secure Autonomous Agents
Agentic browsers can execute security-sensitive actions under a user's authenticated session, making indirect prompt injection and deceptive confirmation interfaces a direct threat to action…Decomposing Predictive Kubernetes Autoscaling for Large Language Model Serving Under Long Startup Delays
Large language model (LLM) inference deployed on Kubernetes faces an autoscaling challenge that conventional web services do not: new serving replicas take two to ten minutes to start because…TEAR: Table Extraction with Attribute Recommendation from Texts via Large Language Models
Table extraction from texts is an important task for information systems, and recent approaches that prompt large language models (LLMs) with instructions have drawn great attention for their strong…When Tool Calls Succeed but Workflows Fail: Anomalies at the Agent-Tool Boundary
AI agents increasingly execute long-running workflows that externalize effects through independently supplied tools.Design of a Deep Learning Credit Risk Early Warning System Integrating Multi-source Heterogeneous Data
Advancements in data fusion and real-time analytics technologies have opened new avenues for addressing complex domain challenges.