Consort locks AI agents: immutable tests
A spec-first framework enforces engineering discipline through code agents cannot edit, not by persuasion or front-loaded specs alone.
Databases
Covers database management, datamining, and data processing. Roughly includes material in ACM Subject Classes E.2, E.5, H.0, H.2, and J.1.
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A spec-first framework enforces engineering discipline through code agents cannot edit, not by persuasion or front-loaded specs alone.
FFX's packed layout supports arbitrary f-trees and reduces LLM prompt tokens 1.7-22.5x while preserving quality.
· “Factorized and Vectorized Execution: Optimizing Analytical and Semantic Queries over Relations”
Join expansion and naming de-naturalization stress-test systems; binary accuracy hides partial correctness and over-prediction.
· “SQLMorph: Query Mutation and Fine-Grained Metrics for Text-to-SQL Evaluation”
The same ontology, shapes, queries, and rules run unchanged across Pakistan, Malaysia, and Indonesia.
Tiered multi-source evidence enables large-scale evaluation of maneuver detection for the first time
· “MAD-LEO: A Maneuver-Annotated Orbital Dataset for LEO Satellites with Tiered Multi-Source Evidence”
WiDiff extracts Wikidata's 2.3 billion revisions into a queryable database for evolution and quality studies.
New audit reveals most agent-memory errors from eviction are irreversible, not retrieval failures
· “What Eviction Destroys: A Restore-Counterfactual Audit of Forgetting in Agent Memory”
Automatically decomposes ANN workflows into eight replaceable phases, then selects and composes optimizations to improve recall and…
· “SmartANN: Object Causal Modeling Boosts Approximate Nearest Neighbor Diagnosis and Auto-Design”
Proposal unites eight pipeline steps with eight cross-cutting capabilities to embed quality and traceability from design.
The cut theorem covers DBLog, Debezium, Flink CDC, and dumps — no global snapshot needed.
· “Generalized DBLog: A Verified Contract for Interleaving Database Rows with a Change Log”
By rechecking only affected decision premises, ATR cuts revalidation cost by 90% and retains safe actions.
· “From Version Conflicts to Decision Conflicts: Selective Revalidation for Long-Running AI Agents”
Nested structure, semantic text, redundancy, and lineage defeat today's fragmented stores, says this vision paper.
A five-operator pattern lets cultural heritage hold conflicting viewpoints side by side instead of flattening them.
X-DigCheck provides a domain-independent environment for continuous profile–graph alignment across regeneration cycles.
The field's real gap: connecting a person's need to the right tables, not just running analysis.
· “Open Tabular Insight Extraction: Where Do We Stand, and Where Should We Go?”
New benchmark reveals strugles with control flow and state effects absent in SQL
Compiling Linear Datalog to recursive SQL runs on seven databases and beats Soufflé by 5.5× on average.
But only on aggregate human-demand data like grid load and subway ridership, not on scientific simulation output.
· “Cadence: Error-Bounded Lossy Compression of Demand Time Series with a Time-Series Foundation Model”
ShEx validators uniformly implement greatest fixed-point semantics; SHACL validators each behave differently.
· “sheval: An RDF data shapes evaluation tool and test-suite for recursive shapes”
Concord's rewrites substitute cheaper modalities or decompose MLLM joins, reducing cost and improving recall on soccer, lecture, and…
· “Concord: A Video Relational Algebra for Cross-Modal Query Optimization”
Spending noise budget on users' active categories keeps recommendation signals alive under local differential privacy.
· “CAT-LDP: Cloud-edge Adaptive Taxonomy under Local Differential Privacy”
Predicate pushdown, dependent joins, and non-redundant planning eliminate out-of-memory failures and slash planning time from 600 ms to…
· “Reducing the Cross-Model Tax: Query Optimization over Multi-Model Data”
Conditional activation rules keep the vocabulary compact while SHACL shapes validate conformance.
· “A Semantic Model of Genetic Evidence: A Step Toward Bridging the Basic-Science-Clinic Gap”
Property testing dichotomy for recursive queries: 2RPQs testable, monadic Datalog has a hard core under self-join freeness.
D^2 multi-agent system achieves 95% correctness and 76% completeness, compared to ~32% from single-query agents
· “From Data Querying to Data Investigations: Rethinking Natural Language Interfaces for Databases”
A framework that turns knowledge graphs into shared, calibrated beliefs, enabling agents to reason probabilistically and source beliefs…
Aker lifts recall by up to 64pp and QPS by 3.2x while using only 0.6× the memory of pgvector's shared buffers.
· “Aker: Density-Aware Approximate Caching for Vector Search (Extended Version)”
New width measures ctw, atw, fcw bound evaluation time for queries with linear combinations in atoms.
A formal model in which a database is a set of labeled trees, every edge is a total function, and one functional algebra expresses both…
Beats seven rival methods (avg. rank 2.3) in leakage-free tests, with an auditable reasoning chain behind every feature.
· “KnowFeat: Knowledge-Guided Feature Engineering via LLM Agents”
Both pass 166 conformance tests; explainability and blank-node handling remain open.
· “Does SRL Pave the Road to Explainable Reasoning? Lessons Learned from an Implementer's Perspective”
Lantern's DAG rule lets every node run the batch on its own — up to 4.2x the throughput of the Aria protocol.
· “Lantern: Finding Committable Transactions via Back-Propagation on DAGs”
Experiments show general coding agents outperform specialized pipelines; the lasting challenge is persistent knowledge about the data…
New public benchmark shows that no blocker propeses the hardest pairs, making this a retrieval problem, not a matching problem
Combining string edit distance and structural constraints achieves 95% precision even with only two distinct labels.
· “Practical Threshold-based Tree Edit Distance Lower-Bounds”
Zero code changes: one runtime gives B+-trees, hash tables, and skip lists caching and address translation.
· “Decoupling Disaggregated Memory Optimizations from Indexing: A Compiler-Runtime Approach”
Optimal PLA in the PGM-index is not robust; the attack transfers across learned indexes.
New experiments and theory show that the cost of graph-based vector search scales as N^c for most dataset sizes, not polylog N.
· “A Power Law in Logarithm's Clothing: On the Scalability of Graph-Based Vector Search”
A deterministic seven-stage pipeline with runtime confidence scores generates SQL and GraphQL from one architecture, no API cost.
By turning table versions into lightweight metadata, Git4Data enables thousands of AI agents to fork, compare, and merge data with SQL.
Combining degree and random-walk density balancesworkload and slashes execution time across 12 real graphs.
· “Dual-Metric Partitioning with Adaptive Kernel Execution for Efficient GCN Acceleration”
First exact algorithm uses 3D hardware indexing plus CUDA refinement; runs on datasets with up to 128 dimensions.
· “RT-HiSS: Ray Tracing Accelerated High Dimensional Vector Similarity Searches”
Its log-centric MVCC design gives overlapping transactions and whole-database fork, merge, and rebase in the browser.
· “Zeta-Lite: A Concurrent, Branchable In-Browser SQL Database for Agentic Memory”
But biased validation set means real-world false alarms could be much higher; tool is for prioritization, not clearance.
No import, no separate cluster: translating Cypher to columnar SQL queries relationships the tables already hold.
By enforcing strict temporal boundaries, RTGL automatically prevents the future data contamination found in manual SQL.
New algorithm avoids memory blowup by generating only partial difference sets and pruning 90% of candidates without validation.
· “Efficient discovery of unique column combinations on disk-resident data with limited memory”
A deterministic optimizer reduces LLM calls by 23% on coding tasks, trading lower cache-hit ratio for faster, smaller prompts.
· “ContextPipe: Database-Inspired Context Assembly for Long-Horizon Agents”
A new graph index ranks vectors by semantic similarity and freshness jointly, and is up to 4× faster to build.
WACI-HJ improves query time by 10% on real traffic data, enabling faster edge analytics.
Under local privacy, two-replicated servers retrieve more symbols per download than classical PIR permits.
· “Local Private Information Retrieval for Graph-Based Replicated Systems”
By adaptively structuring data during reasoning, agents avoid reopening documents for related queries, cutting costs 53% without accuracy…
Real-world dataset and controlled query series expose performance differences across seven open-source systems.
· “GRBench: A Comprehensive Benchmark Evaluation for Graph-relational Data Management”
SymRaBitQ quantization lets graph construction run on compact codes, slashing cost and memory while keeping high recall
RDF and result-format fixes in LargeRDFBench expose deeper reproducibility obstacles.
· “Strengthening LargeRDFBench for Interoperable Federated SPARQL Evaluation”
ERIQ compares VIEW, CTE, and TEMPT to expose logic bugs missed by prior methods.
· “Detecting DBMS Bugs by Constructing Equivalent Representations of Intermediate Query Results”
A trajectory-only synchronizer also recovers ball receptions, the event ends other methods miss.
· “ELASTIC: Trajectory-Based Synchronization of Event and Tracking Data in Soccer”
Analysis of 6,357 production traces shows that 90% of LRU promotions can be skipped, and the two new methods are ready for deployment.
· “Demystifying and Improving Lazy Promotion in Cache Eviction”
A heterogeneous temporal hypergraph memory engine for multi-agent systems outperforms eleven memory baselines on 12 QA benchmarks by…
· “Diachronic Hypergraphs for Orchestrated Multi-Agent Multimodal Memory Curation”
And when users retract an earlier choice, top LLMs recognize it but fix the SQL only about half the time.
· “Evaluating LLMs on Conversational Text-to-SQL under Chain Ambiguity and Intent Drift”
RENSA infers variable classes and namespaces from compact profiles, matching live-probing engines at zero runtime cost
A workshop report finds proactive outreach, AI-assisted validation, and shared infrastructure are key to sustaining shrinking databases
Execution-feedback refinement is the only universally cheap gain in text-to-SQL; mid-tier backbones with rich pipelines beat frontier…
A series of optimizations—pipeline execution, scalable shuffle, distributed Bloom filters—pushes performance beyond previous best by 40%…
· “No Silver Bullet: Boosting GaussDB Performance on the 30TB TPC-H Workload”
A single authenticated tree serves as index, proof, and anchor; an untrusted encoder feeds approximate answers with certified bounds.
· “VeriTS: Verifiable Model-Enhanced Time-Series Queries on Blockchain Systems”
A 640K-prompt diagnostic benchmark separates cardinality, binding, and visibility errors across nine systems.
· “NumBench: Diagnosing Counting Failures in Text-to-Image Models”
A hybrid solver keeps global statistics intact while forcing exact cardinalities, so offline diagnosis of slow queries becomes practical.
ANCHOR treats caches as untrusted hints and uses version-bound authentication to prevent rollback and poisoning without blocking async I/O.
· “ANCHOR: A Vision for Secure Persistent Key-Value Stores in Disaggregated Data Centers”
Credo recovers reusable skeletons, beliefs, and prompts from opaque search outputs, compiling harnesses for new tasks without restarting…
· “Credo: Reusable Declarative Primitives for Agentic Workflows”
Oracle's Real-Time SPM validates plans during user queries, cutting background resource use and latency.
Hiding each training step inside the LLM round-trip lets the two learners stack into a near-order-of-magnitude saving.
· “Compositional Online Learning for Semantic Data Processing Systems”
IDS incrementally maintains three additive summaries and evaluates any closed-form attribution without rescanning the window.
· “Incremental Delta-Shapley: A Standalone Runtime for Predicate Attribution on Sliding Windows”
Even with acyclic functional dependencies, the computable polymatroid bound can be polynomially larger than the tight entropic bound when…
The pre-peeling counts give an unbiased difference size, so retry capacity is set in one round with no extra bytes.
· “IBLTs Measure Before They Decode: Self-Sizing Set Reconciliation from Pre-Peeling Counts”
HOME-KGQA tests multimodal KGQA on daily household tasks, where LLM methods lag behind their encyclopedic results.
Skills optimized on prior failures deliver complementary candidates that cut correlated errors and transfer across dialects.
UFS limits background tasks to idle CPUs and shares lock hints to halve tail latency versus standard Linux options in mixed workloads.
· “Unfair by design: eBPF-based scheduling of mixed database workloads”
New system handles dynamic context retrieval concurrently while preserving overall throughput
· “Stream2LLM: Overlap Context Streaming and Prefill for Reduced Time-to-First-Token (TTFT)”
Selecting only informative foreign-key paths before training shrinks per-epoch cost while keeping accuracy.
· “MetaSieve: Faster Relational Deep Learning through SQL-Based Metapath Selection”
For sum aggregation it's exact; for max, an upper-bound heuristic plus top-k candidates recovers most hubs.
· “Degree Centrality Algorithms for Weighted Multilayer Networks (or w-MLNs)”