Tootfinder

Conv4Rec: A 1-by-1 Convolutional AutoEncoder for User Profiling through Joint Analysis of Implicit and Explicit Feedbacks
Antoine Ledent, Petr Kasalick\'y, Rodrigo Alves, Hady W. Lauw
https://arxiv.org/abs/2509.07499

Conv4Rec: A 1-by-1 Convolutional AutoEncoder for User Profiling through Joint Analysis of Implicit and Explicit Feedbacks
We introduce a new convolutional AutoEncoder architecture for user modelling and recommendation tasks with several improvements over the state of the art. Firstly, our model has the flexibility to learn a set of associations and combinations between different interaction types in a way that carries over to each user and item. Secondly, our model is able to learn jointly from both the explicit ratings and the implicit information in the sampling pattern (which we refer to as `implicit feedback')…

BitROM: Weight Reload-Free CiROM Architecture Towards Billion-Parameter 1.58-bit LLM Inference
Wenlun Zhang, Xinyu Li, Shimpei Ando, Kentaro Yoshioka
https://arxiv.org/abs/2509.08542

BitROM: Weight Reload-Free CiROM Architecture Towards Billion-Parameter 1.58-bit LLM Inference
Compute-in-Read-Only-Memory (CiROM) accelerators offer outstanding energy efficiency for CNNs by eliminating runtime weight updates. However, their scalability to Large Language Models (LLMs) is fundamentally constrained by their vast parameter sizes. Notably, LLaMA-7B - the smallest model in LLaMA series - demands more than 1,000 cm2 of silicon area even in advanced CMOS nodes. This paper presents BitROM, the first CiROM-based accelerator that overcomes this limitation through co-design with B…

One Model, Two Minds: A Context-Gated Graph Learner that Recreates Human Biases
Shalima Binta Manir, Tim Oates
https://arxiv.org/abs/2509.08705 https://arx…

One Model, Two Minds: A Context-Gated Graph Learner that Recreates Human Biases
We introduce a novel Theory of Mind (ToM) framework inspired by dual-process theories from cognitive science, integrating a fast, habitual graph-based reasoning system (System 1), implemented via graph convolutional networks (GCNs), and a slower, context-sensitive meta-adaptive learning system (System 2), driven by meta-learning techniques. Our model dynamically balances intuitive and deliberative reasoning through a learned context gate mechanism. We validate our architecture on canonical fals…

Crosslisted article(s) found for cs.NI. https://arxiv.org/list/cs.NI/new
[1/1]:
- EFPIX: A zero-trust encrypted flood protocol
Arin Upadhyay
https://

The silo @… https://mastodon.online/@sjar/115351966099892463

sjar@itsmesjarlie (@sjar@mastodon.online)
Attached: 1 image The transmitter tower of Sint-Pieters-Leeuw, Sint-Pieters-Leeuw, Flemish Brabant, Belgium, Sometimes also called the VRT tower This building is a freestanding concrete tower for radio & television transmission and was built between 1991 and 1994 for the VRT. The concrete tower with mast is 302 meters high, has a diameter of 27 m at the base and 1.3 m at the top and is the tallest structure in Belgium. De Gregorio & Partners was responsible for the architecture. #WindowFrid…

SEPhIA: <1 laser/neuron Spiking Electro-Photonic Integrated Multi-Tiled Architecture for Scalable Optical Neuromorphic Computing
Mat\v{e}j Hejda, Aishwarya Natarajan, Chaerin Hong, Mehmet Berkay On, S\'ebastien d'Herbais de Thun, Raymond G. Beausoleil, Thomas Van Vaerenbergh
https://arxiv.org/abs/2510.07427

SEPhIA: <1 laser/neuron Spiking Electro-Photonic Integrated Multi-Tiled Architecture for Scalable Optical Neuromorphic Computing
Research into optical spiking neural networks (SNNs) has primarily focused on spiking devices, networks of excitable lasers or numerical modelling of large architectures, often overlooking key constraints such as limited optical power, crosstalk and footprint. We introduce SEPhIA, a photonic-electronic, multi-tiled SNN architecture emphasizing implementation feasibility and realistic scaling. SEPhIA leverages microring resonator modulators (MRMs) and multi-wavelength sources to achieve effectiv…

Crosslisted article(s) found for physics.optics. https://arxiv.org/list/physics.optics/new
[1/1]:
- SEPhIA: <1 laser/neuron Spiking Electro-Photonic Integrated Multi-Tiled Architecture for Scalable...
Hejda, Natarajan, Hong, On, de Thun, Beausoleil, Van Vaerenbergh
…

Toric geometry of ReLU neural networks
Yaoying Fu
https://arxiv.org/abs/2509.05894 https://arxiv.org/pdf/2509.05894…

Toric geometry of ReLU neural networks
Given a continuous finitely piecewise linear function $f:\mathbb{R}^{n_0} \to \mathbb{R}$ and a fixed architecture $(n_0,\ldots,n_k;1)$ of feedforward ReLU neural networks, the exact function realization problem is to determine when some network with the given architecture realizes $f$. To develop a systematic way to answer these questions, we establish a connection between toric geometry and ReLU neural networks. This approach enables us to utilize numerous structures and tools from algebraic …

Replaced article(s) found for cs.GR. https://arxiv.org/list/cs.GR/new
[1/1]:
- MoDA: Multi-modal Diffusion Architecture for Talking Head Generation
Li, Li, Lin, Qian, Yao, Jia, Wang, Chen, Wang

Cortex-Synth: Differentiable Topology-Aware 3D Skeleton Synthesis with Hierarchical Graph Attention
Mohamed Zayaan S
https://arxiv.org/abs/2509.06705 https://

Cortex-Synth: Differentiable Topology-Aware 3D Skeleton Synthesis with Hierarchical Graph Attention
We present Cortex Synth, a novel end-to-end differentiable framework for joint 3D skeleton geometry and topology synthesis from single 2D images. Our architecture introduces three key innovations: (1) A hierarchical graph attention mechanism with multi-scale skeletal refinement, (2) Differentiable spectral topology optimization via Laplacian eigen decomposition, and (3) Adversarial geometric consistency training for pose structure alignment. The framework integrates four synergistic modules: a …

Skip a Layer or Loop it? Test-Time Depth Adaptation of Pretrained LLMs
Ziyue Li, Yang Li, Tianyi Zhou
https://arxiv.org/abs/2507.07996 https://arxiv.org/pdf/2507.07996 https://arxiv.org/html/2507.07996
arXiv:2507.07996v1 Announce Type: new
Abstract: Can a pretrained neural network adapt its architecture to different inputs without any finetuning? Do we need all layers for simple tasks, and are they adequate for challenging tasks? We found that the layers of a pretrained large language model (LLM) can be manipulated as separate modules to build a better and even shallower model customized for each test sample. In particular, each layer from the pretrained model can be skipped/pruned or repeated multiple times as recurrent neural networks (RNN), and stacked with others in arbitrary orders, yielding a chain-of-layers (CoLa) per sample. This compositional space greatly expands the scope of existing works on looped/recurrent pretrained modules, layer pruning, or early-exit networks. We develop a Monte Carlo Tree Search (MCTS) protocol to explore and identify the optimal CoLa for each sample from math and commonsense reasoning benchmarks. Compared to a static model of a fixed depth, CoLa allows shortcut paths (fast thinking), recurrence of the same layer(s) (slow thinking), and combining both, offering more flexible, dynamic architectures for different inputs. We conduct an extensive analysis of the MCTS-optimized CoLa, which leads to two key findings: (1) For >75% of samples with correct predictions by the original LLM, we can find shorter CoLa, suggesting a large space for improving inference efficiency; (2) For >60% of samples with originally incorrect predictions, we can identify CoLa achieving correct predictions, suggesting a large space of performance enhancement. Our results highlight the shortcomings of using a fixed architecture of pre-trained LLMs for inference on different samples and pave the way to unlock the generalization power of test-time depth adaptation.
toXiv_bot_toot

Replaced article(s) found for cs.AR. https://arxiv.org/list/cs.AR/new
[1/1]:
- DECA: A Near-Core LLM Decompression Accelerator Grounded on a 3D Roofline Model
Gerasimos Gerogiannis, Stijn Eyerman, Evangelos Georganas, Wim Heirman, Josep Torrellas

Looking to Learn: Token-wise Dynamic Gating for Low-Resource Vision-Language Modelling
Bianca-Mihaela Ganescu, Suchir Salhan, Andrew Caines, Paula Buttery
https://arxiv.org/abs/2510.08470

Looking to Learn: Token-wise Dynamic Gating for Low-Resource Vision-Language Modelling
Training vision-language models on cognitively-plausible amounts of data requires rethinking how models integrate multimodal information. Within the constraints of the Vision track for the BabyLM Challenge 2025, we propose a lightweight decoder-based architecture with (1) token-wise dynamic gating for adaptive fusion of linguistic and visual cues, (2) feature modulation and channel attention to maximise the utility of limited visual information and (3) auxiliary contrastive objectives for visua…

Replaced article(s) found for cs.NI. https://arxiv.org/list/cs.NI/new
[1/1]:
- Disruption-aware Microservice Re-orchestration for Cost-efficient Multi-cloud Deployments
Marco Zambianco, Silvio Cretti, Domenico Siracusa

A Brief Note on Cryptographic Pseudonyms for Anonymous Credentials
Ren\'e Mayrhofer, Anja Lehmann, abhi shelat
https://arxiv.org/abs/2510.05419 https://

A Brief Note on Cryptographic Pseudonyms for Anonymous Credentials
This paper describes pseudonyms for the upcoming European Identity Wallet (EUDIW) architecture from both a cryptographic and an implementation perspective. Its main goal is to provide technical insights into the achievable properties and cryptographic realizations. In particular, we (1) outline the security and privacy requirements of EUDI pseudonyms as the basis for building consensus on the cross-country decision maker level; (2) sketch an abstract cryptographic protocol that fulfills these r…

Surformer v2: A Multimodal Classifier for Surface Understanding from Touch and Vision
Manish Kansana, Sindhuja Penchala, Shahram Rahimi, Noorbakhsh Amiri Golilarz
https://arxiv.org/abs/2509.04658

Surformer v2: A Multimodal Classifier for Surface Understanding from Touch and Vision
Multimodal surface material classification plays a critical role in advancing tactile perception for robotic manipulation and interaction. In this paper, we present Surformer v2, an enhanced multi-modal classification architecture designed to integrate visual and tactile sensory streams through a late(decision level) fusion mechanism. Building on our earlier Surformer v1 framework [1], which employed handcrafted feature extraction followed by mid-level fusion architecture with multi-head cross-…

Replaced article(s) found for cs.AR. https://arxiv.org/list/cs.AR/new
[1/1]:
- QUADOL: A Quality-Driven Approximate Logic Synthesis Method Exploiting Dual-Output LUTs for Moder...
Jian Shi, Xuan Wang, Chang Meng, Weikang Qian

Israeli quantum computing startup QuamCore raised a $26M Series A led by Sentinel, taking its total funding to $35M, and plans to move into chip fabrication (Globes)
https://en.globes.co.il/en/article-israeli-quantum-computing-co-quamcore-raises…

Israeli quantum computing co QuamCore raises $26m
The company has developed a fully designed and simulated architecture capable of scaling to 1 million qubits in a single cryostat.

Replaced article(s) found for cs.NI. https://arxiv.org/list/cs.NI/new
[1/1]:
- Generative AI for Data Augmentation in Wireless Networks: Analysis, Applications, and Case Study
Jinbo Wen, Jiawen Kang, Dusit Niyato, Yang Zhang, Jiacheng Wang, Biplab Sikdar, Ping Zhang

Replaced article(s) found for cs.AR. https://arxiv.org/list/cs.AR/new
[1/1]:
- KLLM: Fast LLM Inference with K-Means Quantization
Xueying Wu, Baijun Zhou, Zhihui Gao, Yuzhe Fu, Qilin Zheng, Yintao He, Hai Li

Crosslisted article(s) found for cs.MM. https://arxiv.org/list/cs.MM/new
[1/1]:
- AUREXA-SE: Audio-Visual Unified Representation Exchange Architecture with Cross-Attention and Squ...
Sajid, Gupta, Modi, Jain, Ganji, Rahaman, Choudhary, Saleem, Hussain, Tanveer

Viability of perturbative expansion for quantum field theories on neurons
Srimoyee Sen, Varun Vaidya
https://arxiv.org/abs/2508.03810 https://arxiv.org/pdf…

Viability of perturbative expansion for quantum field theories on neurons
Neural Network (NN) architectures that break statistical independence of parameters have been proposed as a new approach for simulating local quantum field theories (QFTs). In the infinite neuron number limit, single-layer NNs can exactly reproduce QFT results. This paper examines the viability of this architecture for perturbative calculations of local QFTs for finite neuron number $N$ using scalar $ϕ^4$ theory in $d$ Euclidean dimensions as an example. We find that the renormalized $O(1/N)$ …

Crosslisted article(s) found for cs.NI. https://arxiv.org/list/cs.NI/new
[1/1]:
- Influence Maximization Considering Influence, Cost and Time
Mingyang Feng, Qi Zhao, Shan He, Yuhui Shi

Crosslisted article(s) found for cs.AR. https://arxiv.org/list/cs.AR/new
[1/1]:
- Prototype: A Keyword Spotting-Based Intelligent Audio SoC for IoT
Liang, Jia, Wang, Huang, Zhong, Xiang, Huang, Yuan

Suggest, Complement, Inspire: Story of Two Tower Recommendations at Allegro.com
Aleksandra Osowska-Kurczab, Klaudia Nazarko, Mateusz Marzec, Lidia Wojciechowska, Eli\v{s}ka Kreme\v{n}ov\'a
https://arxiv.org/abs/2508.03702

Suggest, Complement, Inspire: Story of Two Tower Recommendations at Allegro.com
Building large-scale e-commerce recommendation systems requires addressing three key technical challenges: (1) designing a universal recommendation architecture across dozens of placements, (2) decreasing excessive maintenance costs, and (3) managing a highly dynamic product catalogue. This paper presents a unified content-based recommendation system deployed at Allegro.com, the largest e-commerce platform of European origin. The system is built on a prevalent Two Tower retrieval framework, rep…

MAQCY: Modular Atom-Array Quantum Computing with Space-Time Hybrid Multiplexing
Andrew Byun, Chanseul Lee, Eunsik Yoon, Minhyuk KimMinhyuk Kim, Tai Hyun Yoon
https://arxiv.org/abs/2510.02940

MAQCY: Modular Atom-Array Quantum Computing with Space-Time Hybrid Multiplexing
We present a modular atom-array quantum computing architecture with space-time hybrid multiplexing (MAQCY), a dynamic optical tweezer-based protocol for fully connected and scalable universal quantum computation. By extending the concept of globally controlled static dual-species Rydberg atom wires [1], we develop an entirely new approach using Q-Pairs, which consist of globally controlled and temporally multiplexed dual-species Rydberg blockaded atom and superatom pairs. Space-time hybrid mult…

Internet 3.0: Architecture for a Web-of-Agents with it's Algorithm for Ranking Agents
Rajesh Tembarai Krishnamachari, Srividya Rajesh
https://arxiv.org/abs/2509.04979 https:…

Internet 3.0: Architecture for a Web-of-Agents with it's Algorithm for Ranking Agents
AI agents -- powered by reasoning-capable large language models (LLMs) and integrated with tools, data, and web search -- are poised to transform the internet into a \emph{Web of Agents}: a machine-native ecosystem where autonomous agents interact, collaborate, and execute tasks at scale. Realizing this vision requires \emph{Agent Ranking} -- selecting agents not only by declared capabilities but by proven, recent performance. Unlike Web~1.0's PageRank, a global, transparent network of agent in…

Replaced article(s) found for cs.NI. https://arxiv.org/list/cs.NI/new
[1/1]:
- Confidence Driven Classification of Application Types in the Presence of Background Network
Eun Hun Choi, Jasleen Kaur, Vladas Pipiras, Nelson Gomes Rodrigues Antunes, Brendan Massey

Crosslisted article(s) found for cs.AR. https://arxiv.org/list/cs.AR/new
[1/1]:
- Aurora: Architecting Argonne's First Exascale Supercomputer for Accelerated Scientific Discovery
Benjamin S. Allen, et al.

Replaced article(s) found for cs.DC. https://arxiv.org/list/cs.DC/new
[1/1]:
- Mooncake: A KVCache-centric Disaggregated Architecture for LLM Serving
Ruoyu Qin, Zheming Li, Weiran He, Mingxing Zhang, Yongwei Wu, Weimin Zheng, Xinran Xu

Replaced article(s) found for cs.NI. https://arxiv.org/list/cs.NI/new
[1/1]:
- Generative AI-enhanced Low-Altitude UAV-Mounted Stacked Intelligent Metasurfaces
Sun, Fan, Zhang, Pan, Li, Zhang, Li, Zhao, Yuen

Replaced article(s) found for cs.AR. https://arxiv.org/list/cs.AR/new
[1/1]:
- DiP: A Scalable, Energy-Efficient Systolic Array for Matrix Multiplication Acceleration
Ahmed J. Abdelmaksoud, Shady Agwa, Themis Prodromakis

Replaced article(s) found for physics.ao-ph. https://arxiv.org/list/physics.ao-ph/new
[1/1]:
- Technical overview and architecture of the FastNet Machine Learning weather prediction model, ver...
Eric G. Daub, et al.

Long-term resilience of online battle over vaccines and beyond
Lucia Illari, Nicholas J. Restrepo, Neil F. Johnson
https://arxiv.org/abs/2508.01398 https://

Long-term resilience of online battle over vaccines and beyond
What has been the impact of the enormous amounts of time, effort and money spent promoting pro-vaccine science from pre-COVID-19 to now? We answer this using a unique mapping of online competition between pro- and anti-vaccination views among ~100M Facebook Page members, tracking 1,356 interconnected communities through platform interventions. Remarkably, the network's fundamental architecture shows no change: the isolation of established expertise and the symbiosis of anti and mainstream neutr…

AttZoom: Attention Zoom for Better Visual Features
Daniel DeAlcala, Aythami Morales, Julian Fierrez, Ruben Tolosana
https://arxiv.org/abs/2508.03625 https://

AttZoom: Attention Zoom for Better Visual Features
We present Attention Zoom, a modular and model-agnostic spatial attention mechanism designed to improve feature extraction in convolutional neural networks (CNNs). Unlike traditional attention approaches that require architecture-specific integration, our method introduces a standalone layer that spatially emphasizes high-importance regions in the input. We evaluated Attention Zoom on multiple CNN backbones using CIFAR-100 and TinyImageNet, showing consistent improvements in Top-1 and Top-5 cla…

Crosslisted article(s) found for cs.NI. https://arxiv.org/list/cs.NI/new
[1/1]:
- Dynamic Features Adaptation in Networking: Toward Flexible training and Explainable inference
Yannis Belkhiter, Seshu Tirupathi, Giulio Zizzo, Merim Dzaferagic, John D. Kelleher

Replaced article(s) found for cs.AR. https://arxiv.org/list/cs.AR/new
[1/1]:
- MAHL: Multi-Agent LLM-Guided Hierarchical Chiplet Design with Adaptive Debugging
Jinwei Tang, Jiayin Qin, Nuo Xu, Pragnya Sudershan Nalla, Yu Cao, Yang, Zhao, Caiwen Ding

Shares of Hong Kong-listed Chinese chipmaker InnoScience closed up 31% on August 1, after Nvidia named the company as a supplier for its 800V HVDC architecture (Felix Tam/Bloomberg)
https://www.bloomberg.com/news/articles/2025-08…

Composable OS Kernel Architectures for Autonomous Intelligence
Rajpreet Singh, Vidhi Kothari
https://arxiv.org/abs/2508.00604 https://arxiv.org/pdf/2508.00…

Composable OS Kernel Architectures for Autonomous Intelligence
As intelligent systems permeate edge devices, cloud infrastructure, and embedded real-time environments, this research proposes a new OS kernel architecture for intelligent systems, transforming kernels from static resource managers to adaptive, AI-integrated platforms. Key contributions include: (1) treating Loadable Kernel Modules (LKMs) as AI-oriented computation units for fast sensory and cognitive processing in kernel space; (2) expanding the Linux kernel into an AI-native environment with…

TLoRa: Implementing TLS Over LoRa for Secure HTTP Communication in IoT
Atonu Ghosh, Akhilesh Mohanasundaram, Srishivanth R F, Sudip Misra
https://arxiv.org/abs/2510.02519 https:…

TLoRa: Implementing TLS Over LoRa for Secure HTTP Communication in IoT
We present TLoRa, an end-to-end architecture for HTTPS communication over LoRa by integrating TCP tunneling and a complete TLS 1.3 handshake. It enables a seamless and secure communication channel between WiFi-enabled end devices and the Internet over LoRa using an End Hub (EH) and a Net Relay (NR). The EH tethers a WiFi hotspot and a captive portal for user devices to connect and request URLs. The EH forwards the requested URLs to the NR using a secure tunnel over LoRa. The NR, which acts as a…

#ReleaseFriday — New version 3.1.0 of the recently talked about https://thi.ng/args package, a declarative & functional CLI argument parser & app framework. I updated the arg specifications to be fully self-desc…

Replaced article(s) found for astro-ph.EP. https://arxiv.org/list/astro-ph.EP/new
[1/1]:
- Detailed Architecture of the L 98-59 System and Confirmation of a Fifth Planet in the Habitable Zone
Charles Cadieux, et al.

MitoDetect : A Domain-Robust Pipeline for Mitosis Detection and Atypical Subtyping
Esha Sadia Nasir, Jiaqi Lv, Mostafa Jahanifer, Shan E Ahmed Raza
https://arxiv.org/abs/2509.02586

MitoDetect++: A Domain-Robust Pipeline for Mitosis Detection and Atypical Subtyping
Automated detection and classification of mitotic figures especially distinguishing atypical from normal remain critical challenges in computational pathology. We present MitoDetect++, a unified deep learning pipeline designed for the MIDOG 2025 challenge, addressing both mitosis detection and atypical mitosis classification. For detection (Track 1), we employ a U-Net-based encoder-decoder architecture with EfficientNetV2-L as the backbone, enhanced with attention modules, and trained via combi…

Replaced article(s) found for cs.NI. https://arxiv.org/list/cs.NI/new
[1/1]:
- Negotiating Strict Latency Limits for Dynamic Real-Time Services in Vehicular Time-Sensitive Netw...
Timo Salomon, Lisa Maile, Philipp Meyer, Franz Korf, Thomas C. Schmidt

Replaced article(s) found for cs.PF. https://arxiv.org/list/cs.PF/new
[1/1]:
- Dissecting the NVIDIA Hopper Architecture through Microbenchmarking and Multiple Level Analysis
Weile Luo, Ruibo Fan, Zeyu Li, Dayou Du, Hongyuan Liu, Qiang Wang, Xiaowen Chu

Crosslisted article(s) found for eess.AS. https://arxiv.org/list/eess.AS/new
[1/1]:
- KAME: Tandem Architecture for Enhancing Knowledge in Real-Time Speech-to-Speech Conversational AI
So Kuroki, Yotaro Kubo, Takuya Akiba, Yujin Tang

Crosslisted article(s) found for cs.IT. https://arxiv.org/list/cs.IT/new
[1/1]:
- A Framework of Arithmetic-Level Variable Precision Computing for In-Memory Architecture: Case Stu...
Kaixuan Bao, Wei Xu, Xiaohu You, Derrick Wing Kwan Ng

Skywork UniPic: Unified Autoregressive Modeling for Visual Understanding and Generation
Peiyu Wang, Yi Peng, Yimeng Gan, Liang Hu, Tianyidan Xie, Xiaokun Wang, Yichen Wei, Chuanxin Tang, Bo Zhu, Changshi Li, Hongyang Wei, Eric Li, Xuchen Song, Yang Liu, Yahui Zhou
https://arxiv.org/abs/2508.03320

Skywork UniPic: Unified Autoregressive Modeling for Visual Understanding and Generation
We introduce Skywork UniPic, a 1.5 billion-parameter autoregressive model that unifies image understanding, text-to-image generation, and image editing within a single architecture-eliminating the need for task-specific adapters or inter-module connectors-and demonstrate that compact multimodal systems can achieve state-of-the-art performance on commodity hardware. Skywork UniPic achieves a GenEval score of 0.86, surpassing most existing unified models; sets a new DPG-Bench complex-generation r…

Replaced article(s) found for cs.AR. https://arxiv.org/list/cs.AR/new
[1/1]:
- Unlimited Vector Processing for Wireless Baseband Based on RISC-V Extension
Limin Jiang, Yi Shi, Yihao Shen, Shan Cao, Zhiyuan Jiang, Sheng Zhou

ManiFlow: A General Robot Manipulation Policy via Consistency Flow Training
Ge Yan, Jiyue Zhu, Yuquan Deng, Shiqi Yang, Ri-Zhao Qiu, Xuxin Cheng, Marius Memmel, Ranjay Krishna, Ankit Goyal, Xiaolong Wang, Dieter Fox
https://arxiv.org/abs/2509.01819

ManiFlow: A General Robot Manipulation Policy via Consistency Flow Training
This paper introduces ManiFlow, a visuomotor imitation learning policy for general robot manipulation that generates precise, high-dimensional actions conditioned on diverse visual, language and proprioceptive inputs. We leverage flow matching with consistency training to enable high-quality dexterous action generation in just 1-2 inference steps. To handle diverse input modalities efficiently, we propose DiT-X, a diffusion transformer architecture with adaptive cross-attention and AdaLN-Zero c…

Lyte Quorum: Off-Chain Ready Smart Contract Hosted with Choice
Hao Hao, Dahlia Malkhi, Maofan Yin, Lizan Zhou
https://arxiv.org/abs/2509.23448 https://arxi…

Lyte Quorum: Off-Chain Ready Smart Contract Hosted with Choice
This paper introduces Lyquor, a decentralized platform that reimagines blockchain infrastructure through a service-centric model where nodes selectively host smart contracts (called Lyquids) while preserving global composability. We present three key innovations: (1) Fate-Constrained Ordering (FCO), which decouples consensus from execution to enable selective hosting without sacrificing Layer-1 grade composability; (2) Direct Memory Architecture (DMA), which eliminates state access bottlenecks …

Geolog-IA: Conversational System for Academic Theses
Micaela Fuel Pozo, Andrea Guatumillo Saltos, Yese\~na Tipan Llumiquinga, Kelly Lascano Aguirre, Marilyn Castillo Jara, Christian Mejia-Escobar
https://arxiv.org/abs/2510.02653

Geolog-IA: Conversational System for Academic Theses
This study presents the development of Geolog-IA, a novel conversational system based on artificial intelligence that responds naturally to questions about geology theses from the Central University of Ecuador. Our proposal uses the Llama 3.1 and Gemini 2.5 language models, which are complemented by a Retrieval Augmented Generation (RAG) architecture and an SQLite database. This strategy allows us to overcome problems such as hallucinations and outdated knowledge. The evaluation of Geolog-IA's …

Crosslisted article(s) found for cs.AR. https://arxiv.org/list/cs.AR/new
[1/1]:
- Comparing Methods for the Cross-Level Verification of SystemC Peripherals with Symbolic Execution
Karl Aaron Rudkowski, Sallar Ahmadi-Pour, Rolf Drechsler

Replaced article(s) found for cs.NI. https://arxiv.org/list/cs.NI/new
[1/1]:
- Zeropod: Simplifying Datacenter Networking with Future-Proof Zero-Buffer Packet Switches
Cong Liang, Jing Cheng, Mowei Wang, Yashe Liu, Zhenhua Liu, Yong Cui

CS-SHRED: Enhancing SHRED for Robust Recovery of Spatiotemporal Dynamics
Romulo B. da Silva, C\'assio M. Oishi, Diego Passos, J. Nathan Kutz
https://arxiv.org/abs/2507.22303

CS-SHRED: Enhancing SHRED for Robust Recovery of Spatiotemporal Dynamics
We present $\textbf{CS-SHRED}$, a novel deep learning architecture that integrates Compressed Sensing (CS) into a Shallow Recurrent Decoder ($\textbf{SHRED}$) to reconstruct spatiotemporal dynamics from incomplete, compressed, or corrupted data. Our approach introduces two key innovations. First, by incorporating CS techniques into the $\textbf{SHRED}$ architecture, our method leverages a batch-based forward framework with $\ell_1$ regularization to robustly recover signals even in scenarios wi…

Replaced article(s) found for cs.AR. https://arxiv.org/list/cs.AR/new
[1/1]:
- An opportunity to improve Data Center Efficiency: Optimizing the Server's Upgrade Cycle
Panagiota Nikolaou, Freddy Gabbay, Jawad Haj-Yahya, Yiannakis Sazeides

Crosslisted article(s) found for cs.NI. https://arxiv.org/list/cs.NI/new
[1/1]:
- A Framework for Detection and Classification of Attacks on Surveillance Cameras under IoT Networks
Umair Amjid, M. Umar Khan, S. A. Manan Kirmani

Crosslisted article(s) found for cs.AR. https://arxiv.org/list/cs.AR/new
[1/1]:
- Evaluating Rapid Makespan Predictions for Heterogeneous Systems with Programmable Logic
Martin Wilhelm, Franz Freitag, Max Tzschoppe, Thilo Pionteck

Replaced article(s) found for cs.NI. https://arxiv.org/list/cs.NI/new
[1/1]:
- RevealNet: Distributed Traffic Correlation for Attack Attribution on Programmable Networks
Gurjot Singh, Alim Dhanani, Diogo Barradas

Crosslisted article(s) found for cs.NI. https://arxiv.org/list/cs.NI/new
[1/1]:
- From Description to Detection: LLM based Extendable O-RAN Compliant Blind DoS Detection in 5G and...
Dayaratne, Pham, Vo, Lai, Abuadbba, Suzuki, Yuan, Rudolph

Replaced article(s) found for cs.RO. https://arxiv.org/list/cs.RO/new
[1/2]:
- COBRA-PPM: A Causal Bayesian Reasoning Architecture Using Probabilistic Programming for Robot Man...
Ricardo Cannizzaro, Michael Groom, Jonathan Routley, Robert Osazuwa Ness, Lars Kunze

Scalable Engine and the Performance of Different LLM Models in a SLURM based HPC architecture
Anderson de Lima Luiz, Shubham Vijay Kurlekar, Munir Georges
https://arxiv.org/abs/2508.17814

Scalable Engine and the Performance of Different LLM Models in a SLURM based HPC architecture
This work elaborates on a High performance computing (HPC) architecture based on Simple Linux Utility for Resource Management (SLURM) [1] for deploying heterogeneous Large Language Models (LLMs) into a scalable inference engine. Dynamic resource scheduling and seamless integration of containerized microservices have been leveraged herein to manage CPU, GPU, and memory allocations efficiently in multi-node clusters. Extensive experiments, using Llama 3.2 (1B and 3B parameters) [2] and Llama 3.1 …

Replaced article(s) found for cs.AR. https://arxiv.org/list/cs.AR/new
[1/1]:
- RACE-IT: A Reconfigurable Analog Computing Engine for In-Memory Transformer Acceleration
Zhao, Natarajan, Buonanno, Gajjar, Roth, Serebryakov, Moon, Ignowski, Pedretti

Replaced article(s) found for cs.AR. https://arxiv.org/list/cs.AR/new
[1/1]:
- Mainframe-Style Channel Controllers for Modern Disaggregated Memory Systems
Zikai Liu, Jasmin Schult, Pengcheng Xu, Timothy Roscoe

Replaced article(s) found for cs.NI. https://arxiv.org/list/cs.NI/new
[1/1]:
- Temporal Spectrum Analysis for Multi-Constellation Space Domain Awareness
Mansour Naslcheraghi, Gunes Karabulut-Kurt

Crosslisted article(s) found for cs.AR. https://arxiv.org/list/cs.AR/new
[1/1]:
- Memristor-Based Neural Network Accelerators for Space Applications: Enhancing Performance with Te...
Zacharia A. Rudge, Dominik Dold, Moritz Fieback, Dario Izzo, Said Hamdioui

Replaced article(s) found for cs.NI. https://arxiv.org/list/cs.NI/new
[1/1]:
- Performance Comparison of HTTP/3 and HTTP/2 with Proxy Integration
Fan Liu, Behrooz Farkiani, John Dehart, Jyoti Parwatikar, Patrick Crowley

Replaced article(s) found for cs.NI. https://arxiv.org/list/cs.NI/new
[1/1]:
- DRL-based Latency-Aware Network Slicing in O-RAN with Time-Varying SLAs
Raoul Raftopoulos, Salvatore D'Oro, Tommaso Melodia, Giovanni Schembra

Crosslisted article(s) found for cs.NI. https://arxiv.org/list/cs.NI/new
[1/1]:
- cMPI: Using CXL Memory Sharing for MPI One-Sided and Two-Sided Inter-Node Communications
Xi Wang, Bin Ma, Jongryool Kim, Byungil Koh, Hoshik Kim, Dong Li

Replaced article(s) found for cs.AR. https://arxiv.org/list/cs.AR/new
[1/1]:
- Need for zkSpeed: Accelerating HyperPlonk for Zero-Knowledge Proofs
Daftardar, Mo, Ah-kiow, B\"unz, Karri, Garg, Reagen

Replaced article(s) found for cs.NI. https://arxiv.org/list/cs.NI/new
[1/1]:
- OpenOptics: An Open Research Framework for Optical Data Center Networks
Yiming Lei, Federico De Marchi, Jialong Li, Raj Joshi, Balakrishnan Chandrasekaran, Yiting Xia

Replaced article(s) found for cs.NI. https://arxiv.org/list/cs.NI/new
[1/1]:
- Wall-Street: Smart Surface-Enabled 5G mmWave for Roadside Networking
Kun Woo Cho, Prasanthi Maddala, Ivan Seskar, Kyle Jamieson

Replaced article(s) found for cs.AR. https://arxiv.org/list/cs.AR/new
[1/1]:
- GainSight: A Unified Framework for Data Lifetime Profiling and Heterogeneous Memory Composition
Li, Hung, Tan, Ho{\ss}feld, Jiajun, Liu, Yan, Wang, Levis, Wong, Tambe

Crosslisted article(s) found for cs.NI. https://arxiv.org/list/cs.NI/new
[1/1]:
- MECKD: Deep Learning-Based Fall Detection in Multilayer Mobile Edge Computing With Knowledge Dist...
Wei-Lung Mao, Chun-Chi Wang, Po-Heng Chou, Kai-Chun Liu, Yu Tsao

Replaced article(s) found for cs.NI. https://arxiv.org/list/cs.NI/new
[1/1]:
- Virtualizing RAN: Science, Strategy, and Architecture of Software-Defined Mobile Networks
Ryan Barker

Replaced article(s) found for cs.AR. https://arxiv.org/list/cs.AR/new
[1/1]:
- RACE-IT: A Reconfigurable Analog CAM-Crossbar Engine for In-Memory Transformer Acceleration
Zhao, Natarjan, Buonanno, Gajjar, Roth, Serebryakov, Moon, Ignowski, Pedretti

Replaced article(s) found for cs.AR. https://arxiv.org/list/cs.AR/new
[1/1]:
- Spin-NeuroMem: A Low-Power Neuromorphic Associative Memory Design Based on Spintronic Devices
Siqing Fu, Lizhou Wu, Tiejun Li, Chunyuan Zhang, Jianmin Zhang, Sheng Ma

Crosslisted article(s) found for cs.AR. https://arxiv.org/list/cs.AR/new
[1/1]:
- Error Detection Schemes for Barrett Reduction of CT-BU on FPGA in Post Quantum Cryptography
Paresh Baidya, Rourab Paul, Vikas Srivastava, Sumit Kumar Debnath

Crosslisted article(s) found for cs.NI. https://arxiv.org/list/cs.NI/new
[1/1]:
- NetCAS: Dynamic Cache and Backend Device Management in Networked Environments
Joon Yong Hwang, Chanseo Park, Ikjun Yeom, Younghoon Kim

Replaced article(s) found for cs.AR. https://arxiv.org/list/cs.AR/new
[1/1]:
- ChatModel: Automating Reference Model Design and Verification with LLMs
Jianmin Ye, Tianyang Liu, Qi Tian, Shengchu Su, Zhe Jiang, Xi Wang

Replaced article(s) found for cs.NI. https://arxiv.org/list/cs.NI/new
[1/1]:
- Flexible Base Station Sleeping and Resource Allocation for Green Uplink Fully-Decoupled RAN
Yu Sun, Haibo Zhou, Kai Yu, Yunting Xu, Bo Qian, Lin X. Cai

Replaced article(s) found for cs.AR. https://arxiv.org/list/cs.AR/new
[1/1]:
- Calibrating DRAMPower Model for HPC: A Runtime Perspective from Real-Time Measurements
Shi, Abdelhamid, Ilsche, Chamazcoti, Evenblij, Gupta, Catthoor

E2ATST: A Temporal-Spatial Optimized Energy-Efficient Architecture for Training Spiking Transformer
Yunhao Ma, Yanyu Lin, Mingjing Li, Puli Quan, Chenlin Zhou, Wenyue Zhang, Zhiwei Zhong, Wanyi Jia, Xueke Zhu, Qingyan Meng, Huihui Zhou, Fengwei An
https://arxiv.org/abs/2508.00475

E2ATST: A Temporal-Spatial Optimized Energy-Efficient Architecture for Training Spiking Transformer
(1) Pengcheng Laboratory, (2) Southern University of Science and Technology, (3) Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, (4) University of Chinese Academy of Sciences

Replaced article(s) found for cs.NI. https://arxiv.org/list/cs.NI/new
[1/1]:
- Digital Network Twins for Next-generation Wireless: Creation, Optimization, and Challenges
Zifan Zhang, Zhiyuan Peng, Hanzhi Yu, Mingzhe Chen, Yuchen Liu

Crosslisted article(s) found for cs.NI. https://arxiv.org/list/cs.NI/new
[1/1]:
- \textit{In Silico} Benchmarking of Detectable Byzantine Agreement in Noisy Quantum Networks
Mayank Bhatia, Shaan Doshi, Daniel Winton, Brian Doolittle, Bruno Abreu, Santiago N\'u\~nez-Corrales

Replaced article(s) found for cs.AR. https://arxiv.org/list/cs.AR/new
[1/1]:
- ASiM: Modeling and Analyzing Inference Accuracy of SRAM-Based Analog CiM Circuits
Wenlun Zhang, Shimpei Ando, Yung-Chin Chen, Kentaro Yoshioka

Crosslisted article(s) found for cs.AR. https://arxiv.org/list/cs.AR/new
[1/1]:
- BOLT: Bandwidth-Optimized Lightning-Fast Oblivious Map powered by Secure HBM Accelerators
Yitong Guo, Hongbo Chen, Haobin Hiroki Chen, Yukui Luo, XiaoFeng Wang, Chenghong Wang

Replaced article(s) found for cs.NI. https://arxiv.org/list/cs.NI/new
[1/1]:
- Rydberg Atomic Receiver: Next Frontier of Wireless Communications
Mingyao Cui, Qunsong Zeng, Kaibin Huang

Replaced article(s) found for cs.NI. https://arxiv.org/list/cs.NI/new
[1/1]:
- REPS: Recycled Entropy Packet Spraying for Adaptive Load Balancing and Failure Mitigation
Tommaso Bonato, et al.

Crosslisted article(s) found for cs.NI. https://arxiv.org/list/cs.NI/new
[1/1]:
- Multi-Agent Reinforcement Learning for Task Offloading in Wireless Edge Networks
Andrea Fox, Francesco De Pellegrini, Eitan Altman

Crosslisted article(s) found for cs.AR. https://arxiv.org/list/cs.AR/new
[1/1]:
- Cognition Engines: A Row-Scale HVDC Architecture for Computational Continuity of AI
Paul Churnock

Replaced article(s) found for cs.NI. https://arxiv.org/list/cs.NI/new
[1/1]:
- A Deep Incremental Framework for Multi-Service Multi-Modal Devices in NextG AI-RAN Systems
Mrityunjoy Gain, Kitae Kim, Avi Deb Raha, Apurba Adhikary, Walid Saad, Zhu Han, Choong Seon Hong

Crosslisted article(s) found for cs.NI. https://arxiv.org/list/cs.NI/new
[1/1]:
- ReSSFormer: A Recursive Sparse Structured Transformer for Scalable and Long-Context Reasoning
Haochen You, Baojing Liu

Replaced article(s) found for cs.AR. https://arxiv.org/list/cs.AR/new
[1/1]:
- TrIM, Triangular Input Movement Systolic Array for Convolutional Neural Networks: Dataflow and An...
Cristian Sestito, Shady Agwa, Themis Prodromakis

Replaced article(s) found for cs.AR. https://arxiv.org/list/cs.AR/new
[1/1]:
- GAMA: High-Performance GEMM Acceleration on AMD Versal ML-Optimized AI Engines
Kaustubh Mhatre, Endri Taka, Aman Arora

Crosslisted article(s) found for cs.AR. https://arxiv.org/list/cs.AR/new
[1/1]:
- Neural Network Acceleration on MPSoC board: Integrating SLAC's SNL, Rogue Software and Auto-SNL
Rahali, Dave, Ruckman, Rahimifar, Therrien, Russel, Herbst

Convolutions are Competitive with Transformers for Encrypted Traffic Classification with Pre-training
Chungang Lin, Weiyao Zhang, Tianyu Zuo, Chao Zha, Yilong Jiang, Ruiqi Meng, Haitong Luo, Xuying Meng, Yujun Zhang
https://arxiv.org/abs/2508.02001

Convolutions are Competitive with Transformers for Encrypted Traffic Classification with Pre-training
Encrypted traffic classification is vital for modern network management and security. To reduce reliance on handcrafted features and labeled data, recent methods focus on learning generic representations through pre-training on large-scale unlabeled data. However, current pre-trained models face two limitations originating from the adopted Transformer architecture: (1) Limited model efficiency due to the self-attention mechanism with quadratic complexity; (2) Unstable traffic scalability to lon…

Replaced article(s) found for cs.NI. https://arxiv.org/list/cs.NI/new
[1/1]:
- Offline Meta-learning for Real-time Bandwidth Estimation
Gottipati, Khairy, Hosseinkashi, Mittag, Gopal, Yan, Cutler

Replaced article(s) found for cs.AR. https://arxiv.org/list/cs.AR/new
[1/1]:
- No Redundancy, No Stall: Lightweight Streaming 3D Gaussian Splatting for Real-time Rendering
Linye Wei, Jiajun Tang, Fan Fei, Boxin Shi, Runsheng Wang, Meng Li

Crosslisted article(s) found for cs.NI. https://arxiv.org/list/cs.NI/new
[1/1]:
- A Review of Software for Designing and Operating Quantum Networks
Robert J. Hayek, Joaquin Chung, Rajkumar Kettimuthu