Clay weekly context brief for the Computer Science category (ISO week 2026-W44). Clay tracks publications from the Computer Science feed list. Below are recent items from this category, each with its source and a short description of what the publication covers when one is available in the source feed. Recent publications: 1. PATH: Preference-Aware Traversability Estimation for Robotic Teleoperation in Off-Road Navigation Source: cs.RO (Robotics) Link: https://arxiv.org/abs/2610.30605 Traversability estimation is critical for ground vehicle teleoperation, yet existing methods often neglect the human operator's preferences for speed and risk tolerance. 2. Query-Conditioned Liquid Temporal Grounding for Long-Form Audio Source: cs.SD (Sound) Link: https://arxiv.org/abs/2610.31252 Long-form temporal audio grounding (TAG) is challenging because target events often occupy only a small portion of a recording, while queries may impose multiple semantic constraints over a large temporal search space. 3. Strategic Arbitrage in Electricity Markets: A Multi-Agent Policy Optimization Framework Source: cs.SY (Systems and Control) Link: https://arxiv.org/abs/2610.30446 Grid-scale storage and load aggregators are growing quickly in wholesale electricity markets. 4. X-pressing Intimacy: Mental Health Disclosure After Twitter Acquisition Source: cs.SI (Social and Information Networks) Link: https://arxiv.org/abs/2610.30413 Social media platforms provide spaces for individuals to disclose mental health experiences and seek support, yet how these disclosures evolve during major shifts in platform governance remains unclear. 5. Proba: A High-Performance, Low-Traffic Probabilistic Spatial Memory Streaming Prefetcher Source: cs.AR (Hardware Architecture) Link: https://arxiv.org/abs/2610.30448 Spatial Memory Streaming (SMS) prefetchers exploit recurring spatial access patterns across memory regions to predict future accesses. 6. A Quadratic Lens on Muon's Polar Update: Benefits, Pitfalls, and the Role of Newton-Schulz Source: cs.LG (Machine Learning) Link: https://arxiv.org/abs/2610.30280 Muon updates matrix-valued parameters along approximately orthogonalized directions and often trains large language models faster than AdamW, yet it remains unclear when and why orthogonalization helps. 7. SARIA: Persistence-Aware KV Caching with Coordinated DRAM--SSD Reload for LLM Agents Source: cs.OS (Operating Systems) Link: https://arxiv.org/abs/2610.31169 Multi-turn LLM agents usually reuse long context prefixes, making key value (KV) caching crucial for reducing prefill latency. 8. Integrated Sensing and Communication in 3GPP: Evolution from 5G-Advanced to 6G Source: cs.NI (Networking and Internet Architecture) Link: https://arxiv.org/abs/2608.11606 Integrated sensing and communication (ISAC) extends mobile networks from information transfer toward perception of passive objects and environments. 9. When Agentic Retrieval Fails Silently: Framework and Production Evidence from a Creative AI Assistant Source: cs.IR (Information Retrieval) Link: https://arxiv.org/abs/2610.30423 CTR, MRR, and behavioral NDCG assume the user sees ranked results and acts on them. 10. PointerBench: A Diagnostic Benchmark for Fine-Grained GUI Grounding Source: cs.HC (Human-Computer Interaction) Link: https://arxiv.org/abs/2610.31274 Multimodal Large Language Models have shown promising performance in computer-use tasks, from planning user workflows to grounding natural-language actions to precise UI targets. 11. Evaluating Rational Contracting in Natural Language Source: cs.GT (Computer Science and Game Theory) Link: https://arxiv.org/abs/2608.10475 The emergence of language-based AI agents promises to transform the scope of machine economic activity. 12. Fast Approximation Algorithms for Balanced Edge and Vertex Separators Source: cs.DS (Data Structures and Algorithms) Link: https://arxiv.org/abs/2603.15782 We present a family of fast pseudo-approximation algorithms for the minimum balanced element cut problem in a graph, which includes vertex and edge separators. 13. Almost tight distributed approximation for domination in sparse graph classes Source: cs.DC (Distributed, Parallel, and Cluster Computing) Link: https://arxiv.org/abs/2610.31203 We study distributed approximation of Minimum Dominating Set in a very general class of sparse graphs, extending near-optimal approximation results from the minor-free setting to bounded expansion. 14. Contestable Agents for Data Governance: Recording Human Stewardship of AI-Generated Metadata Across Structured and Unstructured Systems Source: cs.DB (Databases) Link: https://arxiv.org/abs/2610.31553 Industrial organizations hold operational knowledge in structured records, such as telemetry, point lists, and transactions, and in unstructured sources, such as manuals, service notes, communications, and inspection reports. 15. Initial Evaluation of Potential Bias in Coverage of Humans in Wikidata Source: cs.CY (Computers and Society) Link: https://arxiv.org/abs/2609.22375 Introduction. 16. Zero-Shot Domain Generalization via Domain Prompt Learning Source: cs.CV (Computer Vision and Pattern Recognition) Link: https://arxiv.org/abs/2610.30680 Domain generalization (DG) aims to improve the generalization of the model to any unseen domains. 17. Compiling Autoregressive LLM Control into Policy-Exact Parallel Inference for Hierarchical RAG Source: cs.CL (Computation and Language) Link: https://arxiv.org/abs/2610.30664 Large language models increasingly act as controllers in structured decision pipelines, yet their decisions are still executed by autoregressive text decoding. 18. DGA$_2$D: Directed Graph-Guided Automated Algorithm Design with Large Language Models Source: cs.NE (Neural and Evolutionary Computing) Link: https://arxiv.org/abs/2608.00700 The rapid development of Large Language Models (LLMs) has opened new avenues for Automated Heuristic Design (AHD) for solving NP-hard combinatorial optimization problems (COPs). 19. OACap: Caption-Guided Active Observation for Detailed Video Captioning Source: cs.MA (Multiagent Systems) Link: https://arxiv.org/abs/2610.29327 Unlike question answering, where a query specifies a perceptual target, open-ended detailed captioning must determine what evidence to acquire and how to integrate it into a coherent global description. 20. Beyond LLM Judge: Mechanical Verification for Agentic Autoformalization Source: cs.LO (Logic in Computer Science) Link: https://arxiv.org/abs/2610.20573 We introduce a novel method for verifying Lean formalizations that goes beyond LLM-judged faithfulness. 21. Behavioral Consistency in Machine Learning Source: cs.ET (Emerging Technologies) Link: https://arxiv.org/abs/2606.07581 A trained model is usually described by its weights, as if the weights fixed its behavior. 22. Kronecker Products, Polarity Quotients and Large Graph Constructions Source: cs.DM (Discrete Mathematics) Link: https://arxiv.org/abs/2608.27253 In this paper, we establish a structural compatibility between the Kronecker product of bipartite graphs that admit polarity and their polarity quotients, and provide a sharp upper bound on the diameter of these graphs. 23. FLAWS: A Benchmark for Error Identification and Localization in Scientific Papers Source: cs.DL (Digital Libraries) Link: https://arxiv.org/abs/2511.21843 The identification and localization of errors is a core task in peer review, yet the exponential growth of scientific output has made it increasingly difficult for human reviewers to reliably detect errors given the limited pool of experts. 24. Your Token Is Gone: A Token-Consumption Countermeasure for Disrupting LLM-Based Scam Systems Source: cs.CR (Cryptography and Security) Link: https://arxiv.org/abs/2610.30666 LLM-based scam systems increasingly combine adaptive dialogue, persistent context, external tools, and multi-agent coordination to automate personalized fraud. 25. Logarithmic edge-length ratios for planar drawings of 2-trees Source: cs.CG (Computational Geometry) Link: https://arxiv.org/abs/2610.28030 For a planar graph $G$ with at least one edge, let $\rho(G)$ be the infimum of the ratio of the longest to the shortest edge length over all planar straight-line drawings of $G$. 26. CENIC: Convex Error-controlled Numerical Integration for Contact Source: cs.CE (Computational Engineering, Finance, and Science) Link: https://arxiv.org/abs/2511.08771 State-of-the-art robotics simulators operate in discrete time. 27. An Optimal Gap-Majority Lemma for Bounded-Round Communication Source: cs.CC (Computational Complexity) Link: https://arxiv.org/abs/2610.22313 Recent work of Sawettamalya and Yu (FOCS 2026) initiated the study of \emph{gap-majority} composition in randomized communication. 28. Governed Self-Evolution for Autonomous Investing: A Multi-Agent LLM System with an Invariant Core Source: cs.AI (Artificial Intelligence) Link: https://arxiv.org/abs/2610.30557 LLM agents that act on live Web data must combine heterogeneous evidence, remember what they have done and improve from outcomes without weakening their own safeguards. 29. Procrustes-Bering-Sheaft: Automated Model Discovery and Virtual Crash Tests for Microservices Source: cs.PF (Performance) Link: https://arxiv.org/abs/2610.31444 Procrustes-Bering-Sheaft automates lightweight model discovery and virtual crash tests for microservices. 30. Finitely Verifiable Segmentation: Decidability for Every Tokenizer with a Finite-State Verifier Source: cs.PL (Programming Languages) Link: https://arxiv.org/abs/2610.30168 A segmentation policy assigns to each byte string at most one segmentation into tokens. Sources in this brief: cs.AI (Artificial Intelligence); cs.AR (Hardware Architecture); cs.CC (Computational Complexity); cs.CE (Computational Engineering, Finance, and Science); cs.CG (Computational Geometry); cs.CL (Computation and Language); cs.CR (Cryptography and Security); cs.CV (Computer Vision and Pattern Recognition); cs.CY (Computers and Society); cs.DB (Databases); cs.DC (Distributed, Parallel, and Cluster Computing); cs.DL (Digital Libraries); cs.DM (Discrete Mathematics); cs.DS (Data Structures and Algorithms); cs.ET (Emerging Technologies); cs.GT (Computer Science and Game Theory); cs.HC (Human-Computer Interaction); cs.IR (Information Retrieval); cs.LG (Machine Learning); cs.LO (Logic in Computer Science); cs.MA (Multiagent Systems); cs.NE (Neural and Evolutionary Computing); cs.NI (Networking and Internet Architecture); cs.OS (Operating Systems); cs.PF (Performance); cs.PL (Programming Languages); cs.RO (Robotics); cs.SD (Sound); cs.SI (Social and Information Networks); cs.SY (Systems and Control). Selected 30 of 353 available items for this weekly brief.