Clay weekly context brief for the Computer Science category (ISO week 2026-W33). 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. Does Latent Context Help? A Controlled Evaluation of Inverse Reinforcement Learning in Arctic Shipping Source: cs.MA (Multiagent Systems) Link: https://arxiv.org/abs/2608.06105 Artificial Intelligence (AI)-assisted navigation can help Arctic shipping adapt to rapidly changing sea-ice conditions, but reliable deployment requires reward models that are interpretable and robust to changing environments. 2. Timestep-Conditioned Transformers for Global Weather Forecasting Source: cs.OS (Operating Systems) Link: https://arxiv.org/abs/2608.06241 Existing machine-learning weather forecasting models rely on predetermined and fixed autoregressive timesteps. 3. MARS: Multipath Adaptive Reliable Service Source: cs.NI (Networking and Internet Architecture) Link: https://arxiv.org/abs/2608.06101 Multipath transport is increasingly important for Internet/WAN services that move large data volumes across heterogeneous paths, including geo-distributed analytics, content distribution, and cloud-service pipelines. 4. Field Aware Agent Skill Retrieval Source: cs.IR (Information Retrieval) Link: https://arxiv.org/abs/2608.02880 As lifelong learning agents accumulate lifelong growing skill banks, retrieving the correct skill becomes an increasingly important bottleneck. 5. Divergent Perceptuomotor Recalibration in Virtual Reality and Video-Passthrough Mixed Reality on the Same Head-Mounted Display Source: cs.HC (Human-Computer Interaction) Link: https://arxiv.org/abs/2608.06132 Virtual reality (VR) and video-passthrough mixed reality (MR-VPT) can be delivered on the same headset, but it is unclear whether these two interaction modalities produce comparable perceptuomotor behavior. 6. Confidence matters: Leveraging Multi-view Geometric Priors for GS-based Reconstruction Source: cs.GR (Graphics) Link: https://arxiv.org/abs/2608.06117 3D Gaussian splatting (3DGS) has emerged as a widely-used tool for novel view synthesis, offering real-time rendering in a sparse representation. 7. Majority Dynamics on Resampled Sparse Erd\H{o}s--R\'enyi Graphs: Gaussian Winner Selection and Pace to Unanimity Source: cs.DM (Discrete Mathematics) Link: https://arxiv.org/abs/2608.06159 We study the two-opinion majority dynamics process: at each time step, every vertex adopts the majority opinion among its neighbors, retaining its current opinion if there is a tie. 8. An Axiomatic Benchmark for Evaluation of Scientific Novelty Metrics Source: cs.DL (Digital Libraries) Link: https://arxiv.org/abs/2604.15145 The rigorous evaluation of the novelty of a scientific paper is, even for human scientists, a challenging task. 9. The Vulnerability With No CVE: Managing Persistent Gaps Between Mandate and Authority in AI Coding Agents Source: cs.CR (Cryptography and Security) Link: https://arxiv.org/abs/2608.05884 Existing guidance identifies excessive agency, excessive permission, weak task-bound authorization, and inadequate agent controls as important risks. 10. Ge$^\text{2}$mS-T: Multi-Dimensional Grouping for Ultra-High Energy Efficiency in Spiking Transformer Source: cs.NE (Neural and Evolutionary Computing) Link: https://arxiv.org/abs/2604.08894 Spiking Neural Networks (SNNs) offer superior energy efficiency over Artificial Neural Networks (ANNs). 11. AI-Farol: Co-Evolutionary Dynamics in a Multi-Agent Two-Sided Learning Framework Source: cs.GT (Computer Science and Game Theory) Link: https://arxiv.org/abs/2608.05479 The El Farol Bar game is a classical model of coordination under uncertainty that traditionally treats the venue as a passive constraint. 12. A Guess and Determine Attack on the Elliptic Curve Discrete Logarithm Problem Source: cs.DC (Distributed, Parallel, and Cluster Computing) Link: https://arxiv.org/abs/2607.09814 This paper is a continuation of our earlier work, in which we described a Las Vegas algorithm to solve the elliptic curve discrete logarithm problem. 13. Posture and Sustainment Optimization Under Adversarial Uncertainty Source: cs.AI (Artificial Intelligence) Link: https://arxiv.org/abs/2608.05256 Pre-commitment posture, the assignment of military assets to theater locations before conflict scenarios resolve, is a critical and formally unsolved problem in joint operational planning. 14. Query-Specific Pruning of RML Mappings (Extended Version) Source: cs.DB (Databases) Link: https://arxiv.org/abs/2603.26269 Current approaches for knowledge graph construction with RML focus on full RDF graph materialization without considering user queries, which is inefficient in dynamic query environments where often only a specific subset of the full graph is needed to answer a given query. 15. Decolonizing Linguistic Policies in Automated Speech Recognition: A Framework for Cross-Culturally Competent Speech AI Source: cs.CY (Computers and Society) Link: https://arxiv.org/abs/2608.06141 This paper focuses on automatic speech recognition (ASR) and ASR-mediated voice interfaces that shape access to public services, healthcare, and education. 16. Hierarchical Flow Matching for 3D Point Cloud Generation Source: cs.CV (Computer Vision and Pattern Recognition) Link: https://arxiv.org/abs/2608.05557 Generating high-quality 3D point clouds requires capturing both global shape topology and local geometric details. 17. Towards Physics of Multimodal Pretraining: Knowledge Flow, Modality Synergy, Early Unification, and Recipes Source: cs.MM (Multimedia) Link: https://arxiv.org/abs/2608.05000 Vision offers a critical axis for advancing foundation models, driving a shift towards natively unified multimodal pretraining. 18. Example-Guided Prompting for Document-Level Text Simplification Source: cs.CL (Computation and Language) Link: https://arxiv.org/abs/2608.05447 Document-level text simplification requires large language models (LLMs) to rewrite complex documents while preserving meaning, readability, and discourse coherence. 19. Scales of Fr\'echet means and Karcher quasi-arithmetic means Source: cs.CG (Computational Geometry) Link: https://arxiv.org/abs/2511.21173 In this paper, we first prove that any interior point of an open interval of the real line can be interpreted as Fr\'echet means with respect to corresponding metric distances, thus extending the result of [Dinh et al. 20. Separating Geometry From Interference in Constrained Quantum Optimization Source: cs.CC (Computational Complexity) Link: https://arxiv.org/abs/2607.13630 We study the separation of geometric effects from quantum interference in quantum optimization algorithms. 21. WitCert: Sound Runtime Risk Observability and Gating for KV-Cache Quantization Source: cs.AR (Hardware Architecture) Link: https://arxiv.org/abs/2607.28699 KV-cache quantization is validated today by offline benchmark averages; a deployed system cannot tell whether compression is damaging the request it is serving right now. 22. Audio-to-Score Transcription using Pre-trained Features, Data Augmentation, and the New SheetSage-A2S Dataset Source: cs.SD (Sound) Link: https://arxiv.org/abs/2608.06165 Existing audio-to-score (A2S) systems primarily focus on classical music, and the application to popular music remains underexplored. 23. NeSy-RAG: Neuro-Symbolic RAG for Explainable Question Answering Source: cs.SC (Symbolic Computation) Link: https://arxiv.org/abs/2608.06292 Retrieval-augmented generation (RAG) improves question answering by grounding large language models (LLMs) in external knowledge such as text corpora. 24. TRACE: Learned Proprioceptive Odometry for Legged Robots under Unreliable Contact Conditions Source: cs.RO (Robotics) Link: https://arxiv.org/abs/2608.05975 In this paper, we present TRACE (Tokenized Robust Attention for Contact-Aware Estimation), an end-to-end learned proprioceptive odometry estimator for legged robots under unreliable contact conditions. 25. OBASE: Object-Based Address-Space Engineering to Improve Memory Tiering Source: cs.PL (Programming Languages) Link: https://arxiv.org/abs/2603.00378 Hardware and OS mechanisms for memory tiering are widely deployed, yet datacenters still overprovision DRAM. 26. Routing LLM Inference to the Cleanest Grid in Real Time Source: cs.PF (Performance) Link: https://arxiv.org/abs/2608.06188 Large-language-model inference is a fast-growing electricity load whose marginal carbon intensity varies by more than an order of magnitude across grid regions and across the day, making request placement an attractive lever: no retraining, no hardware change. 27. SnapScope: A Platform for City-Scale Collection and Exploration of Public Snap Map Data Source: cs.SI (Social and Information Networks) Link: https://arxiv.org/abs/2608.05841 Snapchat's Snap Map is an ephemeral stream of geotagged public video and image stories, but the platform provides no documented API, no prior work describes a reproducible system for collecting this data at city scale, and no tool exists for managing and exploring the collected data interactively. 28. Art in Humanity's Code Source: cs.SE (Software Engineering) Link: https://arxiv.org/abs/2608.05174 Artist-led open-source libraries such as Processing or openFrameworks have had a major impact on artists and designers who use code as a creative medium. 29. Characterizing Robustness in Nonlinear Optimal Control: From Stability to Optimality Source: cs.SY (Systems and Control) Link: https://arxiv.org/abs/2607.07570 In nonlinear optimal control, uncertainties in system dynamics may affect not only closed-loop stability but also the achieved optimality properties of the resulting solutions. 30. Adaptive Arena-based Contestable Argumentative Network-of-Experts for Open-Ended Care Plan Coordination Source: cs.MA (Multiagent Systems) Link: https://arxiv.org/abs/2608.05391 Care plan coordination demands synthesizing heterogeneous clinical, functional, and psychosocial information across multiple professional disciplines, where monolithic LLM pipelines cannot perform in a transparent or safe manner. Sources in this brief: cs.AI (Artificial Intelligence); cs.AR (Hardware Architecture); cs.CC (Computational Complexity); 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.GR (Graphics); cs.GT (Computer Science and Game Theory); cs.HC (Human-Computer Interaction); cs.IR (Information Retrieval); cs.MA (Multiagent Systems); cs.MM (Multimedia); 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.SC (Symbolic Computation); cs.SD (Sound); cs.SE (Software Engineering); cs.SI (Social and Information Networks); cs.SY (Systems and Control). Selected 30 of 336 available items for this weekly brief.