Clay weekly context brief for the Computer Science category (ISO week 2026-W36).

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. OpenTwin: Closed-Loop Digital Twins for Trustworthy Policy Deployment in Open RAN
   Source: cs.NI (Networking and Internet Architecture)
   Link: https://arxiv.org/abs/2605.24662
   In open radio access networks (O-RAN), the near-real-time RAN Intelligent Controller (RIC) hosts third-party xApps whose training and validation risk disrupting the operational network.
2. A Simulator-Grounded Framework For Constructing Verifiable Muscle-Grounded QA From 3D Tongue Meshes (extended version)
   Source: cs.HC (Human-Computer Interaction)
   Link: https://arxiv.org/abs/2608.23137
   Existing articulatory corpora based on real-time MRI and electromagnetic articulography capture tongue motion but lack traceable labels for the muscle-driven process underlying each configuration.
3. Thread-Efficient Decoding for Neural Texture Compression
   Source: cs.GR (Graphics)
   Link: https://arxiv.org/abs/2608.27888
   Neural texture compression (NTC) achieves higher compression ratios than BCn formats but suffers from GPU thread divergence, which significantly reduces runtime performance.
4. Adaptive Strategies for GR(1) Games
   Source: cs.FL (Formal Languages and Automata Theory)
   Link: https://arxiv.org/abs/2608.28391
   We consider two-player GR(1) games on graphs, where the system player Eve must satisfy \[ \Box\Diamond A_1\land\cdots\land\Box\Diamond A_m \;\implies\; \Box\Diamond G_1\land\cdots\land\Box\Diamond G_n \] against the environment player Adam.
5. Quantum-Based Solutions for Security Enhancement in Open Radio Access Networks
   Source: cs.ET (Emerging Technologies)
   Link: https://arxiv.org/abs/2608.28480
   Open Radio Access Networks (O-RAN) introduce unprecedented flexibility, interoperability, and intelligence into next-generation wireless systems, but their disaggregated and software-defined architecture also expands the attack surface and creates new security vulnerabilities.
6. Multimmit: Extending Blocks for Faster Finality
   Source: cs.DC (Distributed, Parallel, and Cluster Computing)
   Link: https://arxiv.org/abs/2607.21021
   To meet the throughput demands of modern blockchain systems, protocols for State Machine Replication (SMR) increasingly have many processors disseminate blocks of transactions in parallel, with consensus then establishing a total ordering on the blocks of all producers.
7. Bolt-on, Verifiable Provenance for LLM-Powered Data Processing
   Source: cs.DB (Databases)
   Link: https://arxiv.org/abs/2608.25210
   Large Language Models (LLMs) are powerful tools for processing data.
8. False-CSI Attacks in Power-Domain NOMA for 6G: A Threat Taxonomy and System-Level Impacts
   Source: cs.CR (Cryptography and Security)
   Link: https://arxiv.org/abs/2608.28351
   Power-domain non-orthogonal multiple access (NOMA) remains a widely studied technique for improving spectral efficiency and supporting dense connectivity in beyond-5G and 6G networks.
9. Thinking Inside the Box: Considerations for Putting Data Physicalization Workshops in a Box
   Source: cs.CY (Computers and Society)
   Link: https://arxiv.org/abs/2606.09835
   Visualization researchers utilize workshops both for applied research and to engage different populations with visualization-based activities.
10. PersonaEdit: Representative Sample Selection for Personalized Model Editing
   Source: cs.CL (Computation and Language)
   Link: https://arxiv.org/abs/2608.27816
   Personalization has attracted growing interest in LLM applications, yet existing retrieval-based approaches depend heavily on retrieval quality and degrade in long-term interactions.
11. Catellect-VL-2B: A Vision-Language Model for Edge-Based Feline Behavior Understanding
   Source: cs.CE (Computational Engineering, Finance, and Science)
   Link: https://arxiv.org/abs/2608.22070
   The task of Feline Behavior Understanding requires models that can identify subtle visual cues, keep behavior interpretations auditable, and support low-latency, privacy-sensitive deployment.
12. Probing Perceptual Priors of MLLMs via Gibbs Sampling with Interpretable Generative Controls
   Source: cs.AI (Artificial Intelligence)
   Link: https://arxiv.org/abs/2608.27727
   A model's behavior on a task is jointly determined by the input it receives and the prior it brings in, i.e.
13. Solution Methods for Infinite-Dimensional Generalized Disjunctive Programming
   Source: cs.SY (Systems and Control)
   Link: https://arxiv.org/abs/2608.27707
   Generalized disjunctive programming (GDP) expresses mixed discrete-continuous decisions through Boolean indicators and disjunctions, and can be systematically solved via a library of methods proposed in the literature.
14. Criticality and universality in network dismantling
   Source: cs.SI (Social and Information Networks)
   Link: https://arxiv.org/abs/2608.27613
   Identifying the smallest set of elements whose removal dismantle a complex network, known as the network dismantling problem, is a fundamental task with many practical applications.
15. GraftyVul: Synthesising Insecure Programs Through Real-World Vulnerability Grafting
   Source: cs.SE (Software Engineering)
   Link: https://arxiv.org/abs/2608.27928
   Vulnerability datasets underpin a wide range of security research, including vulnerability detection, automated remediation, and secure code generation.
16. DiffAnon: Diffusion-based Prosody Control for Voice Anonymization
   Source: cs.SD (Sound)
   Link: https://arxiv.org/abs/2604.26281
   To preserve or not to preserve prosody is a central question in voice anonymization.
17. MaCoPlanner: LLM-Assisted Manual-Compiled Task Planning with Proactive Safety Verification for Robotic Industrial Panel Operation
   Source: cs.RO (Robotics)
   Link: https://arxiv.org/abs/2608.28300
   Robotic industrial panel operation requires not only accurate control localization but also compliance with operating procedures, safety rules, and device-state constraints distributed across heterogeneous manuals.
18. Launch-Bound and Substitutable: Why Three Inference Optimizations Fail to Pay Off in Mixture-of-Experts Models
   Source: cs.PF (Performance)
   Link: https://arxiv.org/abs/2608.26612
   Mixture-of-Experts (MoE) models route each token to a few of many expert networks, and that routing is data-dependent in a way standard inference optimizations do not expect.
19. Enhancing Network Resilience via Graph-Based Anomaly Detection in Sovereign Functions
   Source: cs.NI (Networking and Internet Architecture)
   Link: https://arxiv.org/abs/2605.17716
   Sovereign network functions, e.g., routing protocols, are becoming increasingly complex and susceptible to failures arising from protocol configuration anomalies and anomalous configurations.
20. APeB: Benchmarking Personalization Ability of Large Language Model Agents
   Source: cs.HC (Human-Computer Interaction)
   Link: https://arxiv.org/abs/2607.03162
   LLM-powered agents struggle with personalization when users issue raw, underspecified queries.
21. ABCD: Alpha-Composited Block Coordinate Descent: Constant-VRAM Training for Large Radiance Fields
   Source: cs.GR (Graphics)
   Link: https://arxiv.org/abs/2608.27735
   We present ABCD (Alpha-Composited Block Coordinate Descent), an out-of-core training framework for alpha-composited radiance fields, instantiated here for 3D Gaussian Splatting.
22. Stay Within Your Bounds: Distance-Guided Decoding for Guaranteed Context-Free Grammar Compliance
   Source: cs.FL (Formal Languages and Automata Theory)
   Link: https://arxiv.org/abs/2608.28229
   Grammar-constrained decoding helps large language models produce syntactically valid structured outputs, such as code, JSON, and SQL.
23. Between Algorithm (AI) and Intuition (Human): Preserving Designer Agency in AI-Assisted Sensemaking of Qualitative UX Data
   Source: cs.ET (Emerging Technologies)
   Link: https://arxiv.org/abs/2608.28420
   The integration of AI into qualitative design research presents a fundamental tension: how do we leverage AI while preserving the subjective, intuitive judgments that define design expertise?
24. Agentic-Kube: A Graph-Enhanced Multi-Agent Reinforcement Learning Framework for Multi-Objective Kubernetes Scheduling
   Source: cs.DC (Distributed, Parallel, and Cluster Computing)
   Link: https://arxiv.org/abs/2603.12031
   Cloud-native container orchestration requires resource schedulers capable of balancing infrastructure expenditure, fault resilience, and node utilisation.
25. GPU-Native Approximate Nearest Neighbor Search with IVF-RaBitQ: Fast Index Build and Search
   Source: cs.DB (Databases)
   Link: https://arxiv.org/abs/2602.23999
   Approximate nearest neighbor search (ANNS) on GPUs is gaining increasing popularity for modern retrieval and recommendation workloads that operate over massive high-dimensional vectors.
26. Layered LLM Defenses as an Ensemble: Access Tiers, Inference Cost, and the Measured Failure Correlation Between Defense Layers
   Source: cs.CR (Cryptography and Security)
   Link: https://arxiv.org/abs/2608.28327
   Practitioners defend large language models (LLMs) by stacking defenses, assuming the layers compound.

Sources in this brief: cs.AI (Artificial Intelligence); cs.CE (Computational Engineering, Finance, and Science); cs.CL (Computation and Language); cs.CR (Cryptography and Security); cs.CY (Computers and Society); cs.DB (Databases); cs.DC (Distributed, Parallel, and Cluster Computing); cs.ET (Emerging Technologies); cs.FL (Formal Languages and Automata Theory); cs.GR (Graphics); cs.HC (Human-Computer Interaction); cs.NI (Networking and Internet Architecture); cs.PF (Performance); cs.RO (Robotics); cs.SD (Sound); cs.SE (Software Engineering); cs.SI (Social and Information Networks); cs.SY (Systems and Control).
Selected 26 of 213 available items for this weekly brief.