Clay weekly context brief for the Computer Science category (ISO week 2026-W45). 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. ThinkJev: One Thought, Every Budget for Calibrated Typed Decisions Source: cs.AI (Artificial Intelligence) Link: https://arxiv.org/abs/2610.37732 Many uses of language models end in a typed decision: a choice among a closed set of options, whose probabilities code can act on. 2. zkDuel: Characterizing SumCheck Prover Kernels across GPU Programming Models Source: cs.AR (Hardware Architecture) Link: https://arxiv.org/abs/2610.37710 SumCheck is a central prover primitive in zero-knowledge proofs, exposing table-parallel work that maps naturally to GPUs but becomes increasingly arithmetic-intensive as finite fields widen. 3. Enumeration Complexity of Permutation Classes Source: cs.CC (Computational Complexity) Link: https://arxiv.org/abs/2610.37940 We study classes of permutations that are defined by avoidance of forbidden patterns. 4. PyPSA-Libya: An Open-Source Energy System Model for National Decarbonization and Hydrogen Export Pathways Source: cs.CE (Computational Engineering, Finance, and Science) Link: https://arxiv.org/abs/2610.38094 Libya possesses significant renewable energy potential that remains largely untapped. 5. Certified Small Well-Separated Pair Decompositions in Practice Source: cs.CG (Computational Geometry) Link: https://arxiv.org/abs/2610.39521 Given n points and $\epsilon>0$, a well-separated pair decomposition (WSPD) is a collection of dumbbells {X,Y}, where X and Y have diameter at most $\epsilon$ times their distance, such that every pair of points has one point in X and the other in Y for some dumbbell. 6. FVH-Bench: Evaluating Image Generator Safety Beyond Overtly Harmful Imagery Source: cs.CR (Cryptography and Security) Link: https://arxiv.org/abs/2610.37722 Modern image generators can produce complex visual artifacts, including diagrams, interfaces, and records that combine text, graphics, and layout to convey detailed information. 7. Convex Potential Learning for Optimal Transport Between Medical Images Source: cs.CV (Computer Vision and Pattern Recognition) Link: https://arxiv.org/abs/2610.37844 Computing optimal transport maps between medical images plays a fundamental role in morphological analysis. 8. Random Centres and the $\varepsilon$-Dependence of Constant-Round Planar Domination Source: cs.DC (Distributed, Parallel, and Cluster Computing) Link: https://arxiv.org/abs/2610.38020 It was recently shown (arXiv:2610.09618) that the infimum of the approximation ratios of deterministic constant-round LOCAL algorithms for minimum dominating set on planar graphs is 7. 9. Guidance List for repOrting Bibliometric AnaLyses (GLOBAL): A Reporting Guideline Informed by a Two-Round Modified Delphi Study Source: cs.DL (Digital Libraries) Link: https://arxiv.org/abs/2610.38748 Background: Despite the growth of bibliometric analyses, few studies offer guidance on how to report them, resulting in a lack of research transparency and completeness. 10. A Characterization of Functions on the Integer Lattice That Are L-Extendable through Local Convex Extensions Source: cs.DM (Discrete Mathematics) Link: https://arxiv.org/abs/2610.38287 L-extendable functions on the integer lattice are functions that admit a $\frac12$UJ-convex relaxation; that is, values can be assigned to the additional half-integral points, while keeping the original values at integer points, so that the resulting function is $\frac12$UJ-convex. 11. Versatile Photonic Encoding Platform with Selectable Back Ends for Automotive Edge Processing Source: cs.ET (Emerging Technologies) Link: https://arxiv.org/abs/2610.39337 The increasing diversity and computational demands of automotive edge functions require hardware architectures that support heterogeneous processing while limiting implementation complexity and system overhead. 12. Exact Avoid-or-Compress Extrema for Dense Reachable Images: Defects Four and Five Source: cs.FL (Formal Languages and Automata Theory) Link: https://arxiv.org/abs/2610.39833 Let $S$ be a reachable image of a strongly connected synchronizing automaton and $\varnothing\ne A\subsetneq S$. 13. HyperIntent: Tracking Intent Shifts for Efficient Reasoning on Dynamic Textual Graphs Source: cs.GR (Graphics) Link: https://arxiv.org/abs/2610.38182 Dynamic web interactions continuously evolve as new edges arrive, offering large language models (LLMs) great potential for reasoning over edge-level temporal semantics. 14. Toward Understanding the Value of Anarchy: Empirical Studies on Best Response Dynamics Source: cs.GT (Computer Science and Game Theory) Link: https://arxiv.org/abs/2610.38081 We study experimental results of best response dynamics (BRD) in randomly generated weighted action networked multiagent optimization problems where agent utility is the agent's marginal contribution to the system objective. 15. Advisor, Co-pilot, or Guardian? AI Role Framing and Human Decision Behavior in Automated Vehicle Takeovers Source: cs.HC (Human-Computer Interaction) Link: https://arxiv.org/abs/2610.37892 Artificial intelligence (AI) technology has gradually been integrated into automated vehicles. 16. DuQUAD: A Dual-View Framework with Quality-Aware Evidence Pruning for Multi-Document Question Answering Source: cs.IR (Information Retrieval) Link: https://arxiv.org/abs/2610.37701 Large language models with retrieval-augmented generation systematically underutilize evidence in the middle of multi-document contexts, a phenomenon known as Lost in the Middle. 17. What a Weight Update Buys: Leverage Across Training Stages Source: cs.LG (Machine Learning) Link: https://arxiv.org/abs/2610.37719 Post-training moves a language model's weights by about a thousandth of their norm and changes its behavior sharply; pretraining moves them by a third and buys a slow drift. 18. CoWalk: Cooperative Walks for Agentic Batch Queries on Disk-Resident Graphs Source: cs.DB (Databases) Link: https://arxiv.org/abs/2610.38404 Workloads such as query rewriting, deep research and group-relative policy optimization (GRPO) issue batches of semantically related vector queries. 19. Extending Higher-Order Critical Pairs Source: cs.LO (Logic in Computer Science) Link: https://arxiv.org/abs/2610.38576 Confluence is a fundamental property of computation which implies that the nondeterminism of a system does not affect its outcomes. 20. Network Topology Does Not Matter: The Breakdown of Classical Consensus in LLM Populations Source: cs.MA (Multiagent Systems) Link: https://arxiv.org/abs/2610.37699 As multi-agent language model networks become widely deployed, predicting their collective behavior is a critical challenge. 21. Generating pivot Gray codes for spanning arborescences of complete digraphs and split digraphs in constant amortized time Source: cs.DS (Data Structures and Algorithms) Link: https://arxiv.org/abs/2610.37783 We present the first known efficient algorithm to generate pivot Gray codes for spanning arborescences of complete digraphs, listing all spanning arborescences such that consecutive arborescences differ by reassigning the outgoing edge of exactly one vertex. 22. NLP-based Message Prioritisation for Opportunistic Routing: A Case Study of Nepal Earthquake Emergency Communication Source: cs.NI (Networking and Internet Architecture) Link: https://arxiv.org/abs/2610.37933 This dissertation investigates whether Natural Language Processing (NLP) based semantic message prioritisation can improve the treatment of urgent disaster messages in opportunistic emergency communication, using the 2015 Nepal earthquake as a case study. 23. TSM diff: A new Parallel-Tree-Traversal Algorithm for the Comparison of Music Score Files Source: cs.MM (Multimedia) Link: https://arxiv.org/abs/2610.38545 Music score files are more difficult to compare than their text-based equivalents, as their content is more complex and organised into hierarchical structures. 24. PhOSv1: Efficient Scaling of Model Sleeping on a Single Server for Autoscaling with GPU-Context Deduplication Source: cs.OS (Operating Systems) Link: https://arxiv.org/abs/2610.39999 Autoscaling is a key mechanism in model-as-a-service systems, where fast scale-up is essential because the scale-up time directly determines how long a model service remains overloaded, which in turn governs serving quality. 25. Scrambled Multiply-with-Carry Pseudorandom Number Generators Source: cs.MS (Mathematical Software) Link: https://arxiv.org/abs/2610.27313 Multiply-with-carry (MWC) generators are very fast pseudorandom number generators whose quality depends on the choice of a multiplier, and is usually assessed by applying the spectral test to an associated multiplicative congruential generator. 26. Understanding Post-Quantum Cryptography Adoption: Practices, Challenges, and Evolution in Open-Source Software Source: cs.SE (Software Engineering) Link: https://arxiv.org/abs/2610.38054 Post-quantum cryptography (PQC) standards establish algorithms for quantum-safe systems, but empirical evidence about how software projects implement and maintain PQC support remains limited. 27. New Election, Same Old Story: How Tropes Form a Grammar of Election Rumors Source: cs.SI (Social and Information Networks) Link: https://arxiv.org/abs/2610.37804 Recent elections in the United States have seen online rumors become a regular feature of election discourse as voters and election officials work to navigate a sea of digitally spread claims and propaganda. 28. Efficient Joint Trajectory Optimization and Resource Allocation for Secure UAV Networks: A Deep Reinforcement Learning Approach Source: cs.SY (Systems and Control) Link: https://arxiv.org/abs/2610.37897 Unmanned Aerial Vehicles (UAVs) are increasingly deployed in wireless networks; however, ensuring secure communication and efficient energy usage remains challenging. 29. Discovering Interpretable Acoustic Features in Autoregressive Voice-Cloning TTS Models Source: cs.SD (Sound) Link: https://arxiv.org/abs/2610.40505 Voice-cloning TTS models synthesize an unseen speaker's voice from brief speech prompts, but it remains unclear which acoustic properties they represent and use. 30. Hamming Ideals and Grobner Bases for ISD-like Syndrome Decoding Source: cs.SC (Symbolic Computation) Link: https://arxiv.org/abs/2609.18866 We investigate an algebraic approach to the Syndrome Decoding Problem, based on a reformulation of the Hamming weight constraint and its integration with the Information Set Decoding paradigm. 31. SimRetract: Zero-Shot Sim-to-Real Robotic Assistance for Retractor Take-Over in Open Surgery Source: cs.RO (Robotics) Link: https://arxiv.org/abs/2610.38234 We demonstrate the first zero-shot sim-to-real transfer for a surgeon-robot collaboration task in open surgery: retractor take-over. 32. crush: Extensible Proof Automation for Lean Source: cs.PL (Programming Languages) Link: https://arxiv.org/abs/2610.40538 Lean's rich expressiveness supports higher-order functions, inductive datatypes, and user-defined abstractions, making it challenging to translate proof obligations into first-order Satisfiability Modulo Theory (SMT) queries and reconstruct kernel checked proofs. 33. Trigger Timing, Deadline Readiness, and Event-Aligned Accounting for Dynamic Ad Insertion Source: cs.PF (Performance) Link: https://arxiv.org/abs/2609.19899 An ad break in a live stream is a hard deadline. 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.CR (Cryptography and Security); cs.CV (Computer Vision and Pattern Recognition); 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.FL (Formal Languages and Automata Theory); cs.GR (Graphics); 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.MM (Multimedia); cs.MS (Mathematical Software); 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 33 of 477 available items for this weekly brief.