Tootfinder

Deconstructing Attention: Investigating Design Principles for Effective Language Modeling
Huiyin Xue, Nafise Sadat Moosavi, Nikolaos Aletras
https://arxiv.org/abs/2510.11602 htt…

Deconstructing Attention: Investigating Design Principles for Effective Language Modeling
The success of Transformer language models is widely credited to their dot-product attention mechanism, which interweaves a set of key design principles: mixing information across positions (enabling multi-token interactions), sequence-dependent activations (where attention weights adapt to each input), a specific mathematical form (dot-product similarities plus softmax weighting), and coupling of queries and keys to evolving hidden states (grounding attention in the current layer). However, th…

A Deep Learning Framework for Joint Channel Acquisition and Communication Optimization in Movable Antenna Systems
Ruizhi Zhang, Yuchen Zhang, Lipeng Zhu, Ying Zhang, Rui Zhang
https://arxiv.org/abs/2509.10487

A Deep Learning Framework for Joint Channel Acquisition and Communication Optimization in Movable Antenna Systems
This paper presents an end-to-end deep learning framework in a movable antenna (MA)-enabled multiuser communication system. In contrast to the conventional works assuming perfect channel state information (CSI), we address the practical CSI acquisition issue through the design of pilot signals and quantized CSI feedback, and further incorporate the joint optimization of channel estimation, MA placement, and precoding design. The proposed mechanism enables the system to learn an optimized transm…

Token is All You Price
Weijie Zhong
https://arxiv.org/abs/2510.09859 https://arxiv.org/pdf/2510.09859

Token is All You Price
We build a mechanism design framework where a platform designs GenAI models to screen users who obtain instrumental value from the generated conversation and privately differ in their preference for latency. We show that the revenue-optimal mechanism is simple: deploy a single aligned (user-optimal) model and use token cap as the only instrument to screen the user. The design decouples model training from pricing, is readily implemented with token metering, and mitigates misalignment pressures.

Neuro-inspired automated lens design
Yao Gao, Lei Sun, Shaohua Gao, Qi Jiang, Kailun Yang, Weijian Hu, Xiaolong Qian, Wenyong Li, Luc Van Gool, Kaiwei Wang
https://arxiv.org/abs/2510.09979

Neuro-inspired automated lens design
The highly non-convex optimization landscape of modern lens design necessitates extensive human expertise, resulting in inefficiency and constrained design diversity. While automated methods are desirable, existing approaches remain limited to simple tasks or produce complex lenses with suboptimal image quality. Drawing inspiration from the synaptic pruning mechanism in mammalian neural development, this study proposes OptiNeuro--a novel automated lens design framework that first generates dive…

Replaced article(s) found for cs.GT. https://arxiv.org/list/cs.GT/new
[1/1]:
- Multidimensional Budget-Feasible Mechanism Design
Rian Neogi, Kanstantsin Pashkovich, Chaitanya Swamy

Taming Spontaneous Stop-and-Go Traffic Waves: A Computational Mechanism Design Perspective
Di Shen, Qi Dai, Suzhou Huang, Dimitar Filev
https://arxiv.org/abs/2509.09441 https://…

Taming Spontaneous Stop-and-Go Traffic Waves: A Computational Mechanism Design Perspective
It is well known that stop-and-go waves can be generated spontaneously in traffic even without bottlenecks. Can such undesirable traffic patterns, induced by intrinsic human driving behaviors, be tamed effectively and inexpensively? Taking advantage of emerging connectivity and autonomy technologies, we envision a simple yet realistic traffic control system to achieve this goal. To prove the concept, we design such a system to suppress these waves while maximizing traffic throughput in the Tada…

GlyphWeaver: Unlocking Glyph Design Creativity with Uniform Glyph DSL and AI
Can Liu, Shiwei Chen, Zhibang Jiang, Yong Wang
https://arxiv.org/abs/2509.08444 https://

GlyphWeaver: Unlocking Glyph Design Creativity with Uniform Glyph DSL and AI
Expressive glyph visualizations provide a powerful and versatile means to represent complex multivariate data through compact visual encodings, but creating custom glyphs remains challenging due to the gap between design creativity and technical implementation. We present GlyphWeaver, a novel interactive system to enable an easy creation of expressive glyph visualizations. Our system comprises three key components: a glyph domain-specific language (GDSL), a GDSL operation management mechanism, …

Regular Expression Indexing for Log Analysis. Extended Version
Ling Zhang, Shaleen Deep, Jignesh M. Patel, Karthikeyan Sankaralingam
https://arxiv.org/abs/2510.10348 https://

Regular Expression Indexing for Log Analysis. Extended Version
In this paper, we present the design and architecture of REI, a novel system for indexing log data for regular expression queries. Our main contribution is an $n$-gram-based indexing strategy and an efficient storage mechanism that results in a speedup of up to 14x compared to state-of-the-art regex processing engines that do not use indexing, using only 2.1% of extra space. We perform a detailed study that analyzes the space usage of the index and the improvement in workload execution time, un…

Mechanism Design with Outliers and Predictions
Argyrios Deligkas, Eduard Eiben, Sophie Klumper, Guido Sch\"afer, Artem Tsikiridis
https://arxiv.org/abs/2509.09561 https://

Mechanism Design with Outliers and Predictions
We initiate the study of mechanism design with outliers, where the designer can discard $z$ agents from the social cost objective. This setting is particularly relevant when some agents exhibit extreme or atypical preferences. As a natural case study, we consider facility location on the line: $n$ strategic agents report their preferred locations, and a mechanism places a facility to minimize a social cost function. In our setting, the $z$ agents farthest from the chosen facility are excluded f…

Dependency-Aware Execution Mechanism in Hyperledger Fabric Architecture
Sanyam Kaul, Manaswini Piduguralla, Gayathri Shreeya Patnala, Sathya Peri
https://arxiv.org/abs/2509.07425

Dependency-Aware Execution Mechanism in Hyperledger Fabric Architecture
Hyperledger Fabric is a leading permissioned blockchain framework for enterprise use, known for its modular design and privacy features. While it strongly supports configurable consensus and access control, Fabric can face challenges in achieving high transaction throughput and low rejection rates under heavy workloads. These performance limitations are often attributed to endorsement, ordering, and validation bottlenecks. Further, optimistic concurrency control and deferred validation in Fabri…

Single-Rod Brachiation Robot: Mechatronic Control Design and Validation of Prejump Phases
Juraj Lieskovsk\'y, Hijiri Akahane, Aoto Osawa, Jaroslav Bu\v{s}ek, Ikuo Mizuuchi, Tom\'a\v{s} Vyhl\'idal
https://arxiv.org/abs/2510.02946

Single-Rod Brachiation Robot: Mechatronic Control Design and Validation of Prejump Phases
A complete mechatronic design of a minimal configuration brachiation robot is presented. The robot consists of a single rigid rod with gripper mechanisms attached to both ends. The grippers are used to hang the robot on a horizontal bar on which it swings or rotates. The motion is imposed by repositioning the robot's center of mass, which is performed using a crank-slide mechanism. Based on a non-linear model, an optimal control strategy is proposed, for repositioning the center of mass in a ba…

Synthetic Series-Symbol Data Generation for Time Series Foundation Models
Wenxuan Wang, Kai Wu, Yujian Betterest Li, Dan Wang, Xiaoyu Zhang
https://arxiv.org/abs/2510.08445 http…

Synthetic Series-Symbol Data Generation for Time Series Foundation Models
Foundation models for time series analysis (TSA) have attracted significant attention. However, challenges such as training data scarcity and imbalance continue to hinder their development. Inspired by complex dynamic system theories, we design a series-symbol data generation mechanism, enabling the unrestricted creation of high-quality time series data paired with corresponding symbolic expressions. To leverage series-symbol data pairs with strong correlations, we develop \texttt{SymTime}, a p…

Privacy Mechanism Design based on Empirical Distributions
Leonhard Grosse, Sara Saeidian, Mikael Skoglund, Tobias J. Oechtering
https://arxiv.org/abs/2509.22428 https://

Privacy Mechanism Design based on Empirical Distributions
Pointwise maximal leakage (PML) is a per-outcome privacy measure based on threat models from quantitative information flow. Privacy guarantees with PML rely on knowledge about the distribution that generated the private data. In this work, we propose a framework for PML privacy assessment and mechanism design with empirical estimates of this data-generating distribution. By extending the PML framework to consider sets of data-generating distributions, we arrive at bounds on the worst-case leaka…

Also, it's always interesting to see how things are designed and go together.
Both of these have a mechanism where when you slide the electronics into the cylinder that putting the set screw in place pushes the PCB up so the button goes into the hold of the cylinder.
I thought that was a clever design choice!
One of them is really nice and the other is really cheap. (The good one is a SNV4 PRO.)

Query Expansion in the Age of Pre-trained and Large Language Models: A Comprehensive Survey
Minghan Li, Xinxuan Lv, Junjie Zou, Tongna Chen, Chao Zhang, Suchao An, Ercong Nie, Guodong Zhou
https://arxiv.org/abs/2509.07794

Query Expansion in the Age of Pre-trained and Large Language Models: A Comprehensive Survey
Modern information retrieval (IR) must bridge short, ambiguous queries and ever more diverse, rapidly evolving corpora. Query Expansion (QE) remains a key mechanism for mitigating vocabulary mismatch, but the design space has shifted markedly with pre-trained language models (PLMs) and large language models (LLMs). This survey synthesizes the field from three angles: (i) a four-dimensional framework of query expansion - from the point of injection (explicit vs. implicit QE), through grounding a…

Design of Input-Output Observers for a Population of Systems with Bounded Frequency-Domain Variation using $DK$-iteration
Timothy Everett Adams, James Richard Forbes
https://arxiv.org/abs/2509.07201

Design of Input-Output Observers for a Population of Systems with Bounded Frequency-Domain Variation using $DK$-iteration
This paper proposes a linear input-output observer design methodology for a population of systems in which each observer uses knowledge of the linear time-invariant dynamics of the particular device. Observers are typically composed of a known model of the system and a correction mechanism to produce an estimate of the state. The proposed design procedure characterizes the variation within the population in the frequency domain and synthesizes a single robust correction filter. The correction f…

Multi-Modal Intelligent Channel Modeling Framework for 6G-Enabled Networked Intelligent Systems
Lu Bai, Zengrui Han, Xuesong Cai, Xiang Cheng
https://arxiv.org/abs/2509.07422 ht…

Multi-Modal Intelligent Channel Modeling Framework for 6G-Enabled Networked Intelligent Systems
The design and technology development of 6G-enabled networked intelligent systems needs an accurate real-time channel model as the cornerstone. However, with the new requirements of 6G-enabled networked intelligent systems, the conventional channel modeling methods face many limitations. Fortunately, the multi-modal sensors equipped on the intelligent agents bring timely opportunities, i.e., the intelligent integration and mutually beneficial mechanism between communications and multi-modal sen…

An adaptive design for optimizing treatment assignment in randomized clinical trials
Wei Zhang, Zhiwei Zhang, Aiyi Liu
https://arxiv.org/abs/2509.00429 https://

An adaptive design for optimizing treatment assignment in randomized clinical trials
The treatment assignment mechanism in a randomized clinical trial can be optimized for statistical efficiency within a specified class of randomization mechanisms. Optimal designs of this type have been characterized in terms of the variances of potential outcomes conditional on baseline covariates. Approximating these optimal designs requires information about the conditional variance functions, which is often unavailable or unreliable at the design stage. As a practical solution to this dilem…

Mechanism design and equilibrium analysis of smart contract mediated resource allocation
Jinho Cha, Justin Yoo, Eunchan Daniel Cha, Emily Yoo, Caedon Geoffrey, Hyoshin Song
https://arxiv.org/abs/2510.05504

Mechanism design and equilibrium analysis of smart contract mediated resource allocation
Decentralized coordination and digital contracting are becoming critical in complex industrial ecosystems, yet existing approaches often rely on ad hoc heuristics or purely technical blockchain implementations without a rigorous economic foundation. This study develops a mechanism design framework for smart contract-based resource allocation that explicitly embeds efficiency and fairness in decentralized coordination. We establish the existence and uniqueness of contract equilibria, extending c…

Embracing Evolution: A Call for Body-Control Co-Design in Embodied Humanoid Robot
Guiliang Liu, Bo Yue, Yi Jin Kim, Kui Jia
https://arxiv.org/abs/2510.03081 https://

Embracing Evolution: A Call for Body-Control Co-Design in Embodied Humanoid Robot
Humanoid robots, as general-purpose physical agents, must integrate both intelligent control and adaptive morphology to operate effectively in diverse real-world environments. While recent research has focused primarily on optimizing control policies for fixed robot structures, this position paper argues for evolving both control strategies and humanoid robots' physical structure under a co-design mechanism. Inspired by biological evolution, this approach enables robots to iteratively adapt bot…

FastCaps: A Design Methodology for Accelerating Capsule Network on Field Programmable Gate Arrays
Abdul Rahoof, Vivek Chaturvedi, Muhammad Shafique
https://arxiv.org/abs/2509.03103

FastCaps: A Design Methodology for Accelerating Capsule Network on Field Programmable Gate Arrays
Capsule Network (CapsNet) has shown significant improvement in understanding the variation in images along with better generalization ability compared to traditional Convolutional Neural Network (CNN). CapsNet preserves spatial relationship among extracted features and apply dynamic routing to efficiently learn the internal connections between capsules. However, due to the capsule structure and the complexity of the routing mechanism, it is non-trivial to accelerate CapsNet performance in its o…

GDiffuSE: Diffusion-based speech enhancement with noise model guidance
Efrayim Yanir, David Burshtein, Sharon Gannot
https://arxiv.org/abs/2510.04157 https://

GDiffuSE: Diffusion-based speech enhancement with noise model guidance
This paper introduces a novel speech enhancement (SE) approach based on a denoising diffusion probabilistic model (DDPM), termed Guided diffusion for speech enhancement (GDiffuSE). In contrast to conventional methods that directly map noisy speech to clean speech, our method employs a lightweight helper model to estimate the noise distribution, which is then incorporated into the diffusion denoising process via a guidance mechanism. This design improves robustness by enabling seamless adaptatio…

The (No) Value of Commitment
Nathan Hancart
https://arxiv.org/abs/2510.07994 https://arxiv.org/pdf/2510.07994

The (No) Value of Commitment
I provide a sufficient condition under which a principal does not benefit from committing to a mechanism in economic models represented by a maximisation problem under constraints. These problems include mechanism design, principal-agent models or sender-receiver games. In principal-agent problems, this condition holds if the agent has a finite strategy space and the principal's value function is continuous in the mechanism.

Communication Enables Cooperation in LLM Agents: A Comparison with Curriculum-Based Approaches
Hachem Madmoun, Salem Lahlou
https://arxiv.org/abs/2510.05748 https://

Communication Enables Cooperation in LLM Agents: A Comparison with Curriculum-Based Approaches
Eliciting cooperation in multi-agent LLM systems is critical for AI alignment. We investigate two approaches: direct communication and curriculum learning. In a 4-player Stag Hunt, a one-word "cheap talk" channel increases cooperation from 0% to 48.3%, demonstrating communication as a robust coordination mechanism. In contrast, we find that curriculum learning is highly sensitive to design choices: our pedagogical curriculum through progressively complex games reduced agent payoffs by 27.4% in …

Blockchain-Driven Federation for Distributed Edge Systems: Design and Experimental Validation
Adam Zahir, Milan Groshev, Carlos J. Bernardos, Antonio de la Oliva
https://arxiv.org/abs/2509.24846

Blockchain-Driven Federation for Distributed Edge Systems: Design and Experimental Validation
Edge computing brings computation near end users, enabling the provisioning of novel use cases. To satisfy end-user requirements, the concept of edge federation has recently emerged as a key mechanism for dynamic resources and services sharing across edge systems managed by different administrative domains. However, existing federation solutions often rely on pre-established agreements and face significant limitations, including operational complexity, delays caused by manual operations, high o…

Supersolidity induced flux magnetism with magnetic atoms in an anti-magic wavelength optical lattice
Michele Miotto, Pietro Lombardi, Giovanni Ferioli, Joana Fraxanet, Maciej Lewenstein, Luca Tanzi, Luca Barbiero
https://arxiv.org/abs/2509.05058

Supersolidity induced flux magnetism with magnetic atoms in an anti-magic wavelength optical lattice
Supersolidity and magnetism are fundamental phenomena characterizing strongly correlated states of matter. Here, we unveil a mechanism that establishes a direct connection between these quantum regimes and can be experimentally accessed in ultracold atomic systems. Specifically, we exploit the distinctive properties of ultracold magnetic lanthanide atoms trapped in a one dimensional anti-magic wavelength optical lattice. This allows us to design a realistic implementation of a triangular Bose-H…

Crosslisted article(s) found for q-fin.GN. https://arxiv.org/list/q-fin.GN/new
[1/1]:
- Mechanism design and equilibrium analysis of smart contract mediated resource allocation
Jinho Cha, Justin Yoo, Eunchan Daniel Cha, Emily Yoo, Caedon Geoffrey, Hyoshin Song

Automated Discovery of Test Oracles for Database Management Systems Using LLMs
Qiuyang Mang, Runyuan He, Suyang Zhong, Xiaoxuan Liu, Huanchen Zhang, Alvin Cheung
https://arxiv.org/abs/2510.06663

Automated Discovery of Test Oracles for Database Management Systems Using LLMs
Since 2020, automated testing for Database Management Systems (DBMSs) has flourished, uncovering hundreds of bugs in widely-used systems. A cornerstone of these techniques is test oracle, which typically implements a mechanism to generate equivalent query pairs, thereby identifying bugs by checking the consistency between their results. However, while applying these oracles can be automated, their design remains a fundamentally manual endeavor. This paper explores the use of large language mode…

A Framework for Optimal Ankle Design of Humanoid Robots
Guglielmo Cervettini, Roberto Mauceri, Alex Coppola, Fabio Bergonti, Luca Fiorio, Marco Maggiali, Daniele Pucci
https://arxiv.org/abs/2509.16469 …

A Framework for Optimal Ankle Design of Humanoid Robots
The design of the humanoid ankle is critical for safe and efficient ground interaction. Key factors such as mechanical compliance and motor mass distribution have driven the adoption of parallel mechanism architectures. However, selecting the optimal configuration depends on both actuator availability and task requirements. We propose a unified methodology for the design and evaluation of parallel ankle mechanisms. A multi-objective optimization synthesizes the mechanism geometry, the resulting…

Fabrication of hydrogen-bonded metal inorganic-organic complex glasses by ligand-tuning approach
Tianzhao Xu, Zhencai Li, Jia-Xin Wu, Zihao Wang, Hanmeng Zhang, Huotian Zhang, Lars R. Jensen, Kenji Shinozaki, Feng Gao, Haomiao Zhu, Ivan Hung, Zhehong Gan, Jinjun Ren, Zheng Yin, Ming-Hua Zeng, Yuanzheng Yue
https://arxiv.org/abs/2509.24755

Fabrication of hydrogen-bonded metal inorganic-organic complex glasses by ligand-tuning approach
Metal inorganic-organic complex (MIOC) crystals are a new category of hybrid glass formers. However, the glass-forming compositions of MIOC crystals are limited due to lack of both a general design principle for such compositions and a deep understanding of the structure and formation mechanism for MIOC glasses. This work reports a general approach for synthesizing glass-forming MIOC crystals. In detail, the principle of this approach is based on the creation of hydrogen-bonded structural netwo…

Fair metric distortion for matching with preferences
Jabari Hastings, Prasanna Ramakrishnan
https://arxiv.org/abs/2510.05460 https://arxiv.org/pdf/2510.054…

Fair metric distortion for matching with preferences
We consider the matching problem in the metric distortion framework. There are $n$ agents and $n$ items occupying points in a shared metric space, and the goal is to design a matching mechanism that outputs a low-cost matching between the agents and items, using only agents' ordinal rankings of the candidates by distance. A mechanism has distortion $α$ if it always outputs a matching whose cost is within a factor of $α$ of the optimum, in every instance regardless of the metric space. Typic…

Accuracy vs Performance: An abstraction model for deadline constrained offloading at the mobile-edge
Jamie Cotter, Ignacio Castineiras, Victor Cionca
https://arxiv.org/abs/2510.01885

Accuracy vs Performance: An abstraction model for deadline constrained offloading at the mobile-edge
In this paper, we present a solution for low-latency deadline-constrained DNN offloading on mobile edge devices. We design a scheduling algorithm with lightweight network state representation, considering device availability, communication on the network link, priority-aware pre-emption, and task deadlines. The scheduling algorithm aims to reduce latency by designing a resource availability representation, as well as a network discretisation and a dynamic bandwidth estimation mechanism. We impl…

Design and Control of a Perching Drone Inspired by the Prey-Capturing Mechanism of Venus Flytrap
Ye Li, Daming Liu, Yanhe Zhu, Junming Zhang, Yongsheng Luo, Ziqi Wang, Chenyu Liu, Jie Zhao
https://arxiv.org/abs/2509.13249

Design and Control of a Perching Drone Inspired by the Prey-Capturing Mechanism of Venus Flytrap
The endurance and energy efficiency of drones remain critical challenges in their design and operation. To extend mission duration, numerous studies explored perching mechanisms that enable drones to conserve energy by temporarily suspending flight. This paper presents a new perching drone that utilizes an active flexible perching mechanism inspired by the rapid predation mechanism of the Venus flytrap, achieving perching in less than 100 ms. The proposed system is designed for high-speed adapt…

Spiral Tuning of Wire-metamaterial Cavity for Plasma Haloscope
Jacob Lindahl, Rustam Balafendiev, Gagandeep Kaur, Gaganpreet Singh, Andrea Gallo Rosso, Jan Conrad, Jon Gudmundsson, Junu Jeong
https://arxiv.org/abs/2508.18145

Spiral Tuning of Wire-metamaterial Cavity for Plasma Haloscope
Axions are hypothetical particles that provide a compelling solution to two major mysteries in modern physics: the strong CP problem and the nature of dark matter. The plasma haloscope has been proposed as a promising approach for probing the higher-mass regime for dark matter axions by employing a periodic arrangement of conducting wires. In this study, we present a novel tuning mechanism for such wire-based structures by bundling the wires into a spiral configuration. This design enables cont…

Event-triggered robust control of linear systems: Sliding mode cone method
Bangxin Jiang, Ying Liu, Yang Liu, Jianquan Lu, Weihua Gui
https://arxiv.org/abs/2509.13102 https://…

Event-triggered robust control of linear systems: Sliding mode cone method
In this paper, we investigate the global robust stabilization of linear time-invariant systems by using event-triggered sliding mode control (SMC). Different from the practical sliding mode band, which is commonly used in previous studies on event-triggered SMC, a new concept of ideal sliding mode cone is proposed in this paper. Specifically, we design a hybrid event-triggering mechanism that takes into account both the size and direction shift of the error state. The proposed event-triggered S…

Replaced article(s) found for cs.CG. https://arxiv.org/list/cs.CG/new
[1/1]:
- Mechanism Design for Automated Market Makers
T-H. Hubert Chan, Ke Wu, Elaine Shi
ht…

Monitoring Violations of Differential Privacy over Time
\"Onder Askin, Tim Kutta, Holger Dette
https://arxiv.org/abs/2509.20283 https://arxiv.org/pdf/…

Monitoring Violations of Differential Privacy over Time
Auditing differential privacy has emerged as an important area of research that supports the design of privacy-preserving mechanisms. Privacy audits help to obtain empirical estimates of the privacy parameter, to expose flawed implementations of algorithms and to compare practical with theoretical privacy guarantees. In this work, we investigate an unexplored facet of privacy auditing: the sustained auditing of a mechanism that can go through changes during its development or deployment. Monito…

Co-Investment with Payoff-Sharing Mechanism for Cooperative Decision-Making in Network Design Games
Mingjia He, Andrea Censi, Emilio Frazzoli, Gioele Zardini
https://arxiv.org/abs/2508.12059

Co-Investment with Payoff-Sharing Mechanism for Cooperative Decision-Making in Network Design Games
Network-based systems are inherently interconnected, with the design and performance of subnetworks being interdependent. However, the decisions of self-interested operators may lead to suboptimal outcomes for users and the overall system. This paper explores cooperative mechanisms that can simultaneously benefit both operators and users. We address this challenge using a game-theoretical framework that integrates both non-cooperative and cooperative game theory. In the non-cooperative stage, w…

A Small Collusion is All You Need
Yotam Gafni
https://arxiv.org/abs/2510.05986 https://arxiv.org/pdf/2510.05986

A Small Collusion is All You Need
Transaction Fee Mechanisms (TFMs) study auction design in the Blockchain context, and emphasize robustness against miner and user collusion, moreso than traditional auction theory. \cite{chung2023foundations} introduce the notion of a mechanism being $c$-Side-Contract-Proof ($c$-SCP), i.e., robust to a collusion of the miner and $c$ users. Later work \cite{chung2024collusion,welfareIncreasingCollusion} shows a gap between the $1$-SCP and $2$-SCP classes. We show that the class of $2$-SCP mechan…

Neural-Quantum-States Impurity Solver for Quantum Embedding Problems
Yinzhanghao Zhou, Tsung-Han Lee, Ao Chen, Nicola Lanat\`a, Hong Guo
https://arxiv.org/abs/2509.12431 https:/…

Neural-Quantum-States Impurity Solver for Quantum Embedding Problems
Neural quantum states (NQS) have emerged as a promising approach to solve second-quantised Hamiltonians, because of their scalability and flexibility. In this work, we design and benchmark an NQS impurity solver for the quantum embedding methods, focusing on the ghost Gutzwiller Approximation (gGA) framework. We introduce a graph transformer-based NQS framework able to represent arbitrarily connected impurity orbitals and develop an error control mechanism to stabilise iterative updates through…

Hallucinating Flows for Optimal Mechanisms
Marios Mertzanidis, Athina Terzoglou
https://arxiv.org/abs/2510.05474 https://arxiv.org/pdf/2510.05474

Hallucinating Flows for Optimal Mechanisms
Myerson's seminal characterization of the revenue-optimal auction for a single item \cite{myerson1981optimal} remains a cornerstone of mechanism design. However, generalizing this framework to multi-item settings has proven exceptionally challenging. Even under restrictive assumptions, closed-form characterizations of optimal mechanisms are rare and are largely confined to the single-agent case \cite{pavlov2011optimal,hart2017approximate, daskalakis2018transport, GIANNAKOPOULOS2018432}, departi…

Crosslisted article(s) found for cs.CR. https://arxiv.org/list/cs.CR/new
[1/1]:
- Ransomware Negotiation: Dynamics and Privacy-Preserving Mechanism Design
Haohui Zhang, Sirui Shen, Xinyu Hu, Chenglu Jin

A QoE-Driven Personalized Incentive Mechanism Design for AIGC Services in Resource-Constrained Edge Networks
Hongjia Wu, Minrui Xu, Zehui Xiong, Lin Gao, Haoyuan Pan, Dusit Niyato, Tse-Tin Chan
https://arxiv.org/abs/2508.16251

A QoE-Driven Personalized Incentive Mechanism Design for AIGC Services in Resource-Constrained Edge Networks
With rapid advancements in large language models (LLMs), AI-generated content (AIGC) has emerged as a key driver of technological innovation and economic transformation. Personalizing AIGC services to meet individual user demands is essential but challenging for AIGC service providers (ASPs) due to the subjective and complex demands of mobile users (MUs), as well as the computational and communication resource constraints faced by ASPs. To tackle these challenges, we first develop a novel multi…

Approaches to Analysis and Design of AI-Based Autonomous Vehicles
Tao Yan, Zheyu Zhang, Jingjing Jiang, Wen-Hua Chen
https://arxiv.org/abs/2509.12169 https://

Approaches to Analysis and Design of AI-Based Autonomous Vehicles
Artificial intelligence (AI) models are becoming key components in an autonomous vehicle (AV), especially in handling complicated perception tasks. However, closing the loop through AI-based feedback may pose significant risks on reliability of autonomous driving due to very limited understanding about the mechanism of AI-driven perception processes. To overcome it, this paper aims to develop tools for modeling, analysis, and synthesis for a class of AI-based AV; in particular, their closed-loo…

Ransomware Negotiation: Dynamics and Privacy-Preserving Mechanism Design
Haohui Zhang, Sirui Shen, Xinyu Hu, Chenglu Jin
https://arxiv.org/abs/2508.15844 https://

Ransomware Negotiation: Dynamics and Privacy-Preserving Mechanism Design
Ransomware attacks have become a pervasive and costly form of cybercrime, causing tens of millions of dollars in losses as organizations increasingly pay ransoms to mitigate operational disruptions and financial risks. While prior research has largely focused on proactive defenses, the post-infection negotiation dynamics between attackers and victims remains underexplored. This paper presents a formal analysis of attacker-victim interactions in modern ransomware incidents using a finite-horizon…

ByteWrist: A Parallel Robotic Wrist Enabling Flexible and Anthropomorphic Motion for Confined Spaces
Jiawen Tian, Liqun Huang, Zhongren Cui, Jingchao Qiao, Jiafeng Xu, Xiao Ma, Zeyu Ren
https://arxiv.org/abs/2509.18084

ByteWrist: A Parallel Robotic Wrist Enabling Flexible and Anthropomorphic Motion for Confined Spaces
This paper introduces ByteWrist, a novel highly-flexible and anthropomorphic parallel wrist for robotic manipulation. ByteWrist addresses the critical limitations of existing serial and parallel wrists in narrow-space operations through a compact three-stage parallel drive mechanism integrated with arc-shaped end linkages. The design achieves precise RPY (Roll-Pitch-Yaw) motion while maintaining exceptional compactness, making it particularly suitable for complex unstructured environments such …

Shell-Type Soft Jig for Holding Objects during Disassembly
Takuya Kiyokawa, Ryunosuke Takebayashi, Kensuke Harada
https://arxiv.org/abs/2509.13802 https://…

Shell-Type Soft Jig for Holding Objects during Disassembly
This study addresses a flexible holding tool for robotic disassembly. We propose a shell-type soft jig that securely and universally holds objects, mitigating the risk of component damage and adapting to diverse shapes while enabling soft fixation that is robust to recognition, planning, and control errors. The balloon-based holding mechanism ensures proper alignment and stable holding performance, thereby reducing the need for dedicated jig design, highly accurate perception, precise grasping,…

Replaced article(s) found for cs.GT. https://arxiv.org/list/cs.GT/new
[1/1]:
- Mechanism Design for Congested Facility Location
Cheng Peng, Houyu Zhou
https://

Replaced article(s) found for cs.GT. https://arxiv.org/list/cs.GT/new
[1/1]:
- Collusion-Resilience in Transaction Fee Mechanism Design
Hao Chung, Tim Roughgarden, Elaine Shi