cs.DB · 2026-07-29 · No. 68

Databases, 2026-07-29.

2 new papers in cs.DB. Titles, authors, abstracts. Links to arXiv. Want this in your inbox every morning? Subscribe →

01 — The papers

2 entries
  1. 01

    MemLens: A Value-Aware Memory Management System with Interactive Analytics for LLM-based Agents

    Shuyue Wei, Chang Liu, Zimu Zhou, Yongxin Tong, Lizhen Cui

    cs.DB · cs.AI

    Recently, memory management has become a key infrastructure for LLM-based agents, as it directly affects long-horizon reasoning, personalized responses, and knowledge reuse. However, existing LLM memory systems typically adopt a coarse-grained (utility-agnostic) manner that treats heterogeneous user-LLM interaction records uniformly, leading to redundant and low-impact records persisting in the memory repository. To address this challenge, we...

    arxiv.org/abs/2607.25992 · PDF

  2. 02

    Data Quality Profiling at Scale with Progressive Sampling: A Benchmark for Data-Centric AI Pipelines

    Laure Berti-Equille

    cs.DB · cs.AI · cs.CL

    Data quality profiling -- computing missing-value rates, duplicate fractions, outlier densities, and functional-dependency violations -- is foundational for data-centric AI pipelines, yet exhaustive scans over millions of rows are prohibitively slow for near-real-time monitoring. Progressive sampling is the standard alternative; the open question is which strategy best preserves profile fidelity at scale. We benchmark nine sampling strategies...

    arxiv.org/abs/2607.25356 · PDF

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