Thu 27 Aug

Multi-agent large language model (LLM) workflows have emerged as a powerful paradigm for solving complex, open-ended tasks through collaborative reasoning among specialized LLM agents, but they incur substantial operating costs due to repeated LLM invocations and long-horizon context accumulation. Existing cascade routing methods make one-shot, query-level decisions and cannot adapt to the dynamic, state-dependent nature of multi-step workflows, in which the right LLM at each step depends on evolving task progress, remaining task difficulty, and cost-efficiency requirements. We present ProgRou…

Traffic Anomaly Understanding (TAU) requires models and systems to detect, reason about, and explain anomalous events in transportation videos. To address this challenge, we propose TAU-Agent, an agentic retrieval-augmented framework for traffic anomaly understanding. Given a task query, a central retrieval agent orchestrates two visual perception tools, namely a Video Captioning Tool and an Open-Vocabulary Tracking Tool, to retrieve and select query-relevant evidence, including captions, temporal intervals, and object trajectories. The selected evidence, together with sampled video frames and…

Multimodal instruction-following models require training data that is accurate, diverse, verifiable, and challenging. Existing synthesis pipelines typically follow a one-pass generate-and-filter paradigm, discarding feedback from failed samples, verifier outcomes, and target-model errors. We present VISA (Visual Instruction Synthesis Agent), an agentic framework that reformulates multimodal instruction synthesis as a self-evolving loop. At each round, VISA analyzes an image to filter incompatible constraints and discover new verifiable ones, samples diversity- and difficulty-aware constraint s…

Version 26.8 of the Armbian distribution for Arm hardware has been released. Most releases are a long list of small improvements. This one had three larger pieces landing at roughly the same time, and all three touch parts of Armbian that people use directly rather than parts they only read about in changelogs. The installer was rewritten. Armbian Imager reached 2.0. And our CI moved out of the repository it had outgrown into one built for the job. None of these were planned to coincide; they simply reached the point where postponing them again would have cost more than doing them. The install…

Security updates have been issued by AlmaLinux (firefox, gstreamer1-plugins-base, kernel, kernel-rt, and sqlite), Debian (freecad, kernel, libvncserver, and openssl), Fedora (apr-util, chromium, nnn, perl-DBI, python-tablib, python3.10, python3.11, python3.12, and sympa), Gentoo (DTrace, GNU screen, UnrealIRCd, and Vinyl Cache), Oracle (389-ds-base, attr, firefox, gegl04, grafana, gstreamer1-plugins-base, gstreamer1-plugins-good, httpd, mod_http2, nginx, pam, python-pyasn1, python-urwid, python3.12, python3.14, sqlite, and xorg-x11-server), SUSE (amazon-ecs-init, containerd, curl, distribution…

Version 26.8 of the LibreOffice suite has been released. LibreOffice 26.8 concentrates on three areas: the typographic quality of what the suite produces, the range of writing systems it handles correctly, and the fidelity with which documents survive exchange with other office suites. The largest single body of work in this release addresses bidirectional and complex text. Writer now detects paragraph direction automatically when documents or plain text are opened or pasted. Line wrapping places end-of-line spaces according to the direction of the paragraph rather than that of the adjacent ch…

At FOSSY 2026 , several people from the Software Freedom Conservancy (SFC), which organizes the conference, gave a presentation about an ongoing violation of the Affero General Public License version 3 (AGPLv3). Bradley Kühn, Karen Sandler, and Denver Gingerich spoke about different aspects of the violation, which is in regard to 3D-printer software from Bambu Lab, and what is being done to try to provide users with alternatives. One aspect that is particularly interesting is that the circumvention that the company is employing is precisely what the AGPL was written to prevent.

Inside this week's LWN.net Weekly Edition: Front : AGPL violations; OpenMDW license; quantum computing and encryption; 7.3 merge window; Remind; Quickshell. Briefs : arrayref; RIP Steve French; Armbian 26.8; Vanilla OS 3; Emacs 31.1; KDE Gear 26.08; LibreOffice 26.8; RPM 6.1.0; Quotes; ... Announcements : Newsletters, conferences, security updates, patches, and more.

With the widespread adoption of personal intelligent agents, users generate massive, heterogeneous data during long-term interactions. Leveraging this data as long-term memory helps reduce token overhead and deliver personalized experiences. However, existing memory systems face two primary limitations: they rely on single-storage paradigms that fragment multi-dimensional data, and they lack fine-grained data provenance to resolve long-term factual conflicts, thereby worsening LLM hallucinations. In this demonstration, we introduce PolyMemDB, a novel system tailored for managing agent memory. …

Large language models increasingly mediate access to information, and a growing body of work asks whether they cite the sources behind their outputs. That work treats citation as a verification device and applies it to textual documents. Scholarly citation serves two further functions, credit and provenance, and it applies to data as much as to text. This paper argues that data citation for large language models is an open challenge, distinct from document-level citation grounding and harder to solve. We ask how such models should cite data so that outputs stay verifiable, provenance stays tra…

Relational Deep Learning (RDL) is an effective approach to machine learning over multi-table relational databases. In RDL, a database is modeled as a graph in which each row is a node and each foreign-key relation is an edge, and a graph neural network (GNN) is trained on this graph. Training a GNN requires sampling a subgraph around every seed node in the training set, and the cost of training is largely determined by the size of these subgraphs. This paper aims to reduce subgraph size by leveraging the join and aggregation capabilities of relational database systems. We observe that sampled …

Relational Database Management Systems (RDBMSs) are the backbone of modern data-intensive applications, making reliability and robustness critical. However, achieving high coverage in RDBMS testing remains challenging because of large codebases and complex execution logic. Traditional fuzzing relies on random SQL generation and cannot capture the correspondence between SQL inputs and internal execution paths, while symbolic execution suffers from prohibitive cost and scalability limitations. We propose DBcover, an LLM-driven white-box SQL test generation framework based on contextual reasoning…

Spatial and proximity awareness are critical enablers for efficient communication in Cyber-Physical Systems (CPS) and the Internet of Things (IoT). However, the lack of suitable middleware support and standardized mechanisms for spatial awareness significantly limits the pervasiveness of location-dependent applications. In this paper, we present a novel approach that extends topic-based publish-subscribe, a dominant messaging model in this domain, with integrated spatial filtering and routing capabilities. Our approach leverages a highly flexible geometric method for describing spatial filters…