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Computer Science Preprint PDF DOI

Low-Complexity Run-Length-Limited ISI-Mitigation (RLIM) Codes for Molecular Communication

Melih Sahin, Ozgur B. Akan ยท 2026

Molecular communication suffers from severe inter-symbol interference, which makes constrained coding essential for reliable transmission. Run-length-limited ISI-mitigation codes are attractive becausโ€ฆ

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AI & Data Science Preprint PDF DOI

End-to-end autonomous scientific discovery on a real optical platform

Shuxing Yang, Fujia Chen, Rui Zhao, Junyao Wu, Yize Wang, Haiyao Luo, Ning Han, Qiaolu Chen, Yuze Hu, Wenhao Li, Mingzhu Li, Hongsheng Chen, Yihao Yang ยท 2026

Scientific research has long been human-led, driving new knowledge and transformative technologies through the continual revision of questions, methods and claims as evidence accumulates. Although larโ€ฆ

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Computer Science Preprint PDF DOI

Efficient Training on Multiple Consumer GPUs with RoundPipe

Yibin Luo, Shiwei Gao, Huichuan Zheng, Youyou Lu, Jiwu Shu ยท 2026

Fine-tuning Large Language Models (LLMs) on consumer-grade GPUs is highly cost-effective, yet constrained by limited GPU memory and slow PCIe interconnects. Pipeline parallelism combined with CPU offlโ€ฆ

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AI & Data Science Preprint PDF DOI

Detecting Clinical Discrepancies in Health Coaching Agents: A Dual-Stream Memory and Reconciliation Architecture

Samuel L Pugh, Eric Yang, Alexander Muir Sutherland, Alessandra Breschi ยท 2026

As Large Language Model (LLM) agents transition from single-session tools to persistent systems managing longitudinal healthcare journeys, their memory architectures face a critical challenge: reconciโ€ฆ

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Computer Science Preprint PDF DOI

Adaptive Self-Organization in Anonymous Dynamic Networks

Garrett Parzych, Joshua J. Daymude ยท 2026

We introduce the problem of adaptive self-organization in which the nodes of an anonymous, synchronous dynamic network must distributively change the collective distribution of their responses (or "coโ€ฆ

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Physics Preprint PDF DOI

Triadic Phase Transitions in AI Networks: Composite-Operator Scaling in Cognitive Architectures

Eduardo Salazar ยท 2026

Multi-agent AI architectures whose dominant collective observable is a $k$-body spin correlator $O_k\equiv\langle\phi^k\rangle$ over a $\mathbb{Z}_2$-symmetric order parameter exhibit composite-operatโ€ฆ

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Computer Science Preprint PDF DOI

Revealing NVIDIA Closed-Source Driver Command Streams for CPU-GPU Runtime Behavior Insight

Yuang Yan, Ian Karlin, Ryan Grant ยท 2026

For NVIDIA GPUs, CUDA is the primary interface through which applications orchestrate GPU execution, yet much of the logic that realizes CUDA operations resides in NVIDIA's closed-source userspace driโ€ฆ

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Computer Science Preprint PDF DOI

FaaSMoE: A Serverless Framework for Multi-Tenant Mixture-of-Experts Serving

Minghe Wang, Trever Schirmer, Mohammadreza Malekabbasi, David Bermbach ยท 2026

Mixture-of-Experts (MoE) models offer high capacity with efficient inference cost by activating a small subset of expert models per input. However, deploying MoE models requires all experts to reside โ€ฆ

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Mathematics Preprint PDF DOI

Systems of Nonlocal Conservation Laws with Memory and Their Zero Retention Limit

Aekta Aggarwal, Ganesh Vaidya ยท 2026

We study the entropy solution for a class of systems of nonlocal conservation laws in which the convective flux is convoluted with a kernel in both spatial and temporal variables. This formulation modโ€ฆ

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AI & Data Science Preprint PDF DOI

Unifying Sparse Attention with Hierarchical Memory for Scalable Long-Context LLM Serving

Zihan Zhao, Baotong Lu, Shengjie Lin, Yizou Chen, Jing Liu, Yanqi Zhang, Ziming Miao, Ming-Chang Yang, Haiying Shen, Qi Chen, Fan Yang ยท 2026

Long-context LLM serving is bottlenecked by the cost of attending over ever-growing KV caches. Dynamic sparse attention promises relief by accessing only a small, query-dependent subset of the KV statโ€ฆ

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Computer Science Preprint PDF DOI

Exploring the Efficiency of 3D-Stacked AI Chip Architecture for LLM Inference with Voxel

Yiqi Liu, Noelle Crawford, Michael Wang, Jilong Xue, Jian Huang ยท 2026

To overcome the well-known memory bottleneck of AI chips, 3D stacked architectures that employ advanced packaging technology with high-density through-silicon vias (TSVs) pins have proven to be a promโ€ฆ

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AI & Data Science Preprint PDF DOI

Bian Que: An Agentic Framework with Flexible Skill Arrangement for Online System Operations

Bochao Liu, Zhipeng Qian, Yang Zhao, Xinyuan Jiang, Zihan Liang, Yufei Ma, Junpeng Zhuang, Ben Chen, Shuo Yang, Hongen Wan, Yao Wu, Chenyi Lei, Xiao Liang ยท 2026

Operating and maintaining (O&M) large-scale online engine systems (search, recommendation, advertising) demands substantial human effort for release monitoring, alert response, and root cause analysisโ€ฆ

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AI & Data Science Preprint PDF DOI

MemOVCD: Training-Free Open-Vocabulary Change Detection via Cross-Temporal Memory Reasoning and Global-Local Adaptive Rectification

Zuzheng Kuang, Honghao Chang, Boqiang Liang, Haoqian Wang, Lijun He, Fan Li, Haixia Bi ยท 2026

Open-vocabulary change detection aims to identify semantic changes in bi-temporal remote sensing images without predefined categories. Recent methods combine foundation models such as SAM, DINO and CLโ€ฆ

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Physics Preprint PDF DOI

Observation of Non-Markovian Evolution of Tripartite Quantum Steering

Yan Wang, Shao-qi Lin, Rui-qi Shen, Fang-liang Chen, Fang-liang Chen, Fang-liang Chen, Yong-nan Sun, Qi-ping Su, Chui-ping Yang ยท 2026

The memory effects in open quantum systems can induce information backflow and revive quantum correlations, thereby providing a powerful way to protect and recover useful quantum resources in realistiโ€ฆ

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Physics Preprint PDF DOI

Beyond conventional skyrmions in synthetic antiferromagnets

Kayla Fallon, Reshma Peremadathil-Pradeep, Christopher E. A. Barker, Zoey Tumbleson, Emily Darwin, Andrea Meo, Eloi Haltz, Benjamin A. Brereton, Trevor Almeida, Colin Kirkbride, Sara Villa, Sophie A. Morley, Mario Carpentieri, Riccardo Tomasello, Hans J. Hug, Christopher H. Marrows, Stephen McVitie ยท 2026

Magnetic skyrmions are topologically protected spin textures that can act as reconfigurable nanoscale information carriers. In synthetic antiferromagnets (SAFs), interlayer exchange coupling offers anโ€ฆ

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AI & Data Science Preprint PDF DOI

OCR-Memory: Optical Context Retrieval for Long-Horizon Agent Memory

Jinze Li, Yang Zhang, Xin Yang, Jiayi Qu, Jinfeng Xu, Shuo Yang, Junhua Ding, Edith Cheuk-Han Ngai ยท 2026

Autonomous LLM agents increasingly operate in long-horizon, interactive settings where success depends on reusing experience accumulated over extended histories. However, existing agent memory systemsโ€ฆ

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Physics Preprint PDF DOI

Quo vadis, stochastic thermodynamics?

Jan Korbel, Artemy Kolchinsky, Sarah A.M. Loos, Gonzalo Manzano, Rosalba Garcia-Millan, Olga Movilla Miangolarra, Edgar Roldan ยท 2026

Stochastic thermodynamics is a framework for describing non-equilibrium processes at the level of fluctuating trajectories, where the state of a system evolves as a stochastic time series, allowing thโ€ฆ

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Physics Preprint PDF DOI

Entanglement Revivals and Scrambling for Evaporating Black Holes

Levy B. N. Batista, Nicolo Bragagnolo, Rhys Holmes, S. Prem Kumar ยท 2026

We investigate the spreading of entanglement, and entanglement memory effects, in two dimensional conformal field theory (CFT) propagating on evaporating black hole backgrounds. Memory effects leadingโ€ฆ

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Computer Science Preprint PDF DOI

Sparse-on-Dense: Area and Energy-Efficient Computing of Sparse Neural Networks on Dense Matrix Multiplication Accelerators

Hyunsung Yoon, Sungju Ryu, Jae-Joon Kim ยท 2026

As the size of Deep Neural Networks (DNNs) increases dramatically to achieve high accuracy, the DNNs require a large amount of computations and memory footprint. Pruning, which produces a sparse neuraโ€ฆ

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Computer Science Preprint PDF DOI

DUAL-BLADE: Dual-Path NVMe-Direct KV-Cache Offloading for Edge LLM Inference

Bodon Jeong, Hongsu Byun, Youngjae Kim, Weikuan Yu, Kyungkeun Lee, Jihoon Yang, Sungyong Park ยท 2026

The increasing deployment of Large Language Model (LLM) inference on edge AI systems demands efficient execution under tight memory budgets. A key challenge arises from Key-Value (KV) caches, which ofโ€ฆ

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