Research Papers
Research Papers news — Monday 02 November 2026
17 stories from 2 sources, every one in English. Each links to its publisher.
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How Much Reconstruction Does Quantum Machine Learning Need? Late Fusion of Uncoupled Quantum Subcircuits
arXiv cs.DC (Distributed)
arXiv:2608.05595v2 Announce Type: replace-cross Abstract: Circuit cutting lets a large quantum neural network (QNN) run as independent subcircuits on small devices, but rebuilding its outputs by quasiprobability reconstruction carries a…
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Resource Locks and Fast Unlock for Shared Balances in Certificate-Based Payment Systems
arXiv cs.DC (Distributed)
arXiv:2610.41207v1 Announce Type: new Abstract: Certificate-based payment systems such as FastPay settle a payment with one round of signatures from a quorum of validators and avoid global ordering. The client collects the signatures, and…
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LLM Fine-Tuning Workloads: Characterization, Challenges, and Opportunities for Serverless AI
arXiv cs.DC (Distributed)
arXiv:2610.40983v1 Announce Type: new Abstract: Serverless execution of Large Language Models (LLMs) is becoming important, reflecting their wide societal use. An increasingly present stage in LLM pipelines is fine-tuning, which…
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TileMaxSim: Roofline Regimes and Compression Limits for Fused GPU MaxSim Scoring
arXiv cs.DC (Distributed)
arXiv:2606.26439v2 Announce Type: replace-cross Abstract: MaxSim scoring dominates the cost of multi-vector retrieval. Several groups built fused GPU kernels for it independently during 2026, and all report one measure of success: the…
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ZenKO: Guided and Iterative Quantum-Classical Method for Molecular Electronic Structure using Sample-Based Quantum Diagonalization
arXiv cs.DC (Distributed)
arXiv:2610.41146v1 Announce Type: cross Abstract: The electronic structure of molecules is foundational for scientific advancement, however determining it remains challenging due to the growth of the molecular Hilbert space with system…
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A Deterministic Commitment Rule over Unstructured DAGs for Optimistic Replication
arXiv cs.DC (Distributed)
arXiv:2610.41837v1 Announce Type: new Abstract: In optimistic replication protocols, each replica uses the local state to execute requests from its clients in a wait-free manner, without synchronizing with other replicas. The outcomes may…
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HiState: Hierarchical Prefix Cache Management for Hybrid LLM Serving in Agentic Workloads
arXiv cs.DC (Distributed)
arXiv:2610.41508v1 Announce Type: new Abstract: Hybrid large language models combine full-attention and recurrent linear layers to reduce inference costs. Prefix caching can further reduce redundant computation across requests, but a…
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RecIS: Unifying Sparse and Dense Computation for Efficient Recommendation Training
arXiv cs.DC (Distributed)
arXiv:2610.41457v1 Announce Type: new Abstract: Modern recommender models scale sparse representations and dense computation together. They process thousands of heterogeneous feature fields, long user-behavior sequences, and trillion-scale…
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Migrating a Legacy Scientific Application with an AI Coding Agent: NICAM from Fortran to Kokkos
arXiv cs.DC (Distributed)
arXiv:2610.41313v1 Announce Type: new Abstract: Migrating from Fortran to C++/Kokkos broadens access to hardware accelerators through backends such as CUDA and HIP while offering greater flexibility in software design. However, legacy…
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GPUSparse: Fast and Exact Learned Sparse Retrieval on a GPU-Resident Inverted Index
arXiv cs.DC (Distributed)
arXiv:2606.26441v2 Announce Type: replace-cross Abstract: Learned sparse models such as SPLADE match the quality of dense bi-encoders and keep the exact-match behavior of lexical retrieval. They are served on CPUs, using inverted-index…
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Decentralized Dynamic Stable Matching
arXiv cs.DC (Distributed)
arXiv:2610.41912v1 Announce Type: new Abstract: We study decentralized computation of the player-optimal stable matching (POSM) with unannounced player arrivals and departures. Without a common clock, event information, or direct…
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Layered Reproducibility for High-Performance Computing Applications: The Feel++ and Ktirio Urban Buildings Case Study
arXiv cs.DC (Distributed)
arXiv:2610.41861v1 Announce Type: new Abstract: The High-Performance Computing (HPC) community struggles with reproducibility due to complex software stacks, heterogeneous hardware, and expensive validation cycles. This contribution…
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Where KV-Cache Error Lives in Looped Language Models: A Diagnostic Study of Ouro and Huginn
arXiv cs.DC (Distributed)
arXiv:2610.41825v1 Announce Type: new Abstract: A looped language model applies one block of layers 4 times per token and keeps a key/value (KV) plane for each loop. We study where storage error changes the next-token distribution and how…
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MemX: Memory-Aware Automatic Parallelism for Cross-Vendor Heterogeneous GPU Training
arXiv cs.DC (Distributed)
arXiv:2610.41525v1 Announce Type: new Abstract: Cross-vendor heterogeneous GPU clusters are increasingly used for large-scale model training. However, their GPUs differ substantially in compute power, memory capacity, and interconnect…
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Falcons: Pushing the Speed-Ratio Limits of Lossy Compression for Parallel Scientific Applications
arXiv cs.DC (Distributed)
arXiv:2610.41209v1 Announce Type: new Abstract: The extreme volume of scientific data has become a critical challenge for modern exa-scale scientific computing applications, and error-bounded lossy compression remains indispensable for…
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Meet Neuropixels: how probes that track hundreds of brain cells at once are revolutionizing neuroscience
Nature Technology
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Techno-economic and environmental assessment of next-generation battery-powered farming robots
Nature Technology