Tootfinder

academia_edu: Academica.edu (2011)
Snapshot of the follower relationships among users of academia.edu, a platform for academics to share research papers, scraped in 2011. Nodes are users and a directed edge (i,j) denotes that user i follows j.
This network has 200169 nodes and 1398063 edges.
Tags: Social, Online, Unweighted
https://

Fantastic interview with @… and @… about their recent position paper "Against the Uncritical Adoption of 'AI' Technologies in Academia" with a comprehensive summary of hard-hitting criticisms (and realities!) of said ongoing u…

Tomei um susto ontem de madrugada (longa história) e por conta disso eu rendi muito pouco hoje. Também não consegui ir pra academia. Mesmo assim eu vou resistir Š tentação de estender o horšrio de trabalho, vou encerrar o expediente por hoje. Preciso ser bem rigoroso quanto a isso, minha saúde mental requer este cuidado.

academia_edu: Academica.edu (2011)
Snapshot of the follower relationships among users of academia.edu, a platform for academics to share research papers, scraped in 2011. Nodes are users and a directed edge (i,j) denotes that user i follows j.
This network has 200169 nodes and 1398063 edges.
Tags: Social, Online, Unweighted
https://

Personalized and Constructive Feedback for Computer Science Students Using the Large Language Model (LLM)
Javed Ali Khan, Muhammad Yaqoob, Mamoona Tasadduq, Hafsa Shareef Dar, Aitezaz Ahsan
https://arxiv.org/abs/2510.11556

Personalized and Constructive Feedback for Computer Science Students Using the Large Language Model (LLM)
The evolving pedagogy paradigms are leading toward educational transformations. One fundamental aspect of effective learning is relevant, immediate, and constructive feedback to students. Providing constructive feedback to large cohorts in academia is an ongoing challenge. Therefore, academics are moving towards automated assessment to provide immediate feedback. However, current approaches are often limited in scope, offering simplistic responses that do not provide students with personalized …

DriftBench: Defining and Generating Data and Query Workload Drift for Benchmarking
Guanli Liu, Renata Borovica-Gajic
https://arxiv.org/abs/2510.10858 https://

DriftBench: Defining and Generating Data and Query Workload Drift for Benchmarking
Data and workload drift are key to evaluating database components such as caching, cardinality estimation, indexing, and query optimization. Yet, existing benchmarks are static, offering little to no support for modeling drift. This limitation stems from the lack of clear definitions and tools for generating data and workload drift. Motivated by this gap, we propose a unified taxonomy for data and workload drift, grounded in observations from both academia and industry. Building on this foundat…

Sensitivity Analysis for Causal ML: A Use Case at Booking.com
Philipp Bach, Victor Chernozhukov, Carlos Cinelli, Lin Jia, Sven Klaassen, Nils Skotara, Martin Spindler
https://arxiv.org/abs/2510.09109

Sensitivity Analysis for Causal ML: A Use Case at Booking.com
Causal Machine Learning has emerged as a powerful tool for flexibly estimating causal effects from observational data in both industry and academia. However, causal inference from observational data relies on untestable assumptions about the data-generating process, such as the absence of unobserved confounders. When these assumptions are violated, causal effect estimates may become biased, undermining the validity of research findings. In these contexts, sensitivity analysis plays a crucial ro…

AEGIS: An Agent for Extraction and Geographic Identification in Scholarly Proceedings
Om Vishesh, Harshad Khadilkar, Deepak Akkil
https://arxiv.org/abs/2509.09470 https://

AEGIS: An Agent for Extraction and Geographic Identification in Scholarly Proceedings
Keeping pace with the rapid growth of academia literature presents a significant challenge for researchers, funding bodies, and academic societies. To address the time-consuming manual effort required for scholarly discovery, we present a novel, fully automated system that transitions from data discovery to direct action. Our pipeline demonstrates how a specialized AI agent, 'Agent-E', can be tasked with identifying papers from specific geographic regions within conference proceedings and then …

I'm working on something marginally related to an academic conference held in the 1930s. I can't decide if I'm jealous of the past or relieved to live in the present: the gathering lasted thirteen days in early September!
#academia

academia_edu: Academica.edu (2011)
Snapshot of the follower relationships among users of academia.edu, a platform for academics to share research papers, scraped in 2011. Nodes are users and a directed edge (i,j) denotes that user i follows j.
This network has 200169 nodes and 1398063 edges.
Tags: Social, Online, Unweighted
https://

Cross-Domain Evaluation of Transformer-Based Vulnerability Detection on Open & Industry Data
Moritz Mock, Thomas Forrer, Barbara Russo
https://arxiv.org/abs/2509.09313 https…

Cross-Domain Evaluation of Transformer-Based Vulnerability Detection on Open & Industry Data
Deep learning solutions for vulnerability detection proposed in academic research are not always accessible to developers, and their applicability in industrial settings is rarely addressed. Transferring such technologies from academia to industry presents challenges related to trustworthiness, legacy systems, limited digital literacy, and the gap between academic and industrial expertise. For deep learning in particular, performance and integration into existing workflows are additional concer…

Extended Version: It Should Be Easy but... New Users Experiences and Challenges with Secret Management Tools
Lorenzo Neil, Deepthi Mungara, Laurie Williams, Yasemin Acar, Bradley Reaves
https://arxiv.org/abs/2509.09036

Extended Version: It Should Be Easy but... New Users Experiences and Challenges with Secret Management Tools
Software developers face risks of leaking their software secrets, such as API keys or passwords, which can result in significant harm. Secret management tools (SMTs), such as HashiCorp Vault Secrets or Infisical, are highly recommended by industry, academia, and security guidelines to manage secrets securely. SMTs are designed to help developers secure their secrets in a central location, yet secrets leaks are still commonplace, and developers report difficulty in learning how to setup and use …

My First Five Years of Faculty Career at the University of Delaware
Xiang-Gen Xia
https://arxiv.org/abs/2510.05000 https://arxiv.org/pdf/2510.05000

My First Five Years of Faculty Career at the University of Delaware
In this short article, I would like to briefly summarize my research in the first 5 years in my university academia life in USA. I think that my research results obtained in these 5 years are the best in my career, at least which I like the most by myself. I wish that my experience in my junior academia career could be of some help to young researchers.

Investigating Industry--Academia Collaboration in Artificial Intelligence: PDF-Based Bibliometric Analysis from Leading Conferences
Kazuhiro Yamauchi, Marie Katsurai
https://arxiv.org/abs/2510.01593

Investigating Industry--Academia Collaboration in Artificial Intelligence: PDF-Based Bibliometric Analysis from Leading Conferences
This study presents a bibliometric analysis of industry--academia collaboration in artificial intelligence (AI) research, focusing on papers from two major international conferences, AAAI and IJCAI, from 2010 to 2023. Most previous studies have relied on publishers and other databases to analyze bibliographic information. However, these databases have problems, such as missing articles and omitted metadata. Therefore, we adopted a novel approach to extract bibliographic information directly fro…

Robotic Manipulation Framework Based on Semantic Keypoints for Packing Shoes of Different Sizes, Shapes, and Softness
Yi Dong, Yangjun Liu, Jinjun Duan, Yang Li, Zhendong Dai
https://arxiv.org/abs/2509.06048

Robotic Manipulation Framework Based on Semantic Keypoints for Packing Shoes of Different Sizes, Shapes, and Softness
With the rapid development of the warehousing and logistics industries, the packing of goods has gradually attracted the attention of academia and industry. The packing of footwear products is a typical representative paired-item packing task involving irregular shapes and deformable objects. Although studies on shoe packing have been conducted, different initial states due to the irregular shapes of shoes and standard packing placement poses have not been considered. This study proposes a robo…

Eu vou pro Pilates/academia e a combinação entre acordar cedo e os exercícios fazem com que eu chegue em casa tão exausto que preciso ficar uns 40 minutos jogado no sofš até ser capaz de fazer algo minimamente útil novamente. E, mesmo assim, o cansaço me deixa em câmera lenta por horas. Espero que isto melhore a medida que eu pegar o ritmo, pois desse jeito não dš pra ficar.

A Survey of Real-World Recommender Systems: Challenges, Constraints, and Industrial Perspectives
Kuan Zou, Aixin Sun
https://arxiv.org/abs/2509.06002 https://

A Survey of Real-World Recommender Systems: Challenges, Constraints, and Industrial Perspectives
Recommender systems have generated tremendous value for both users and businesses, drawing significant attention from academia and industry alike. However, due to practical constraints, academic research remains largely confined to offline dataset optimizations, lacking access to real user data and large-scale recommendation platforms. This limitation reduces practical relevance, slows technological progress, and hampers a full understanding of the key challenges in recommender systems. In this…

JFC the colleague who wants to run their course on Facebook. #academia

The #GiantMagellanTelescope international consortium welcomed Academia Sinica Institute of Astronomy and Astrophysics, or ASIAA, as its newest member, the consortium announced Tuesday: https://astro.arizona.edu/news/giant-magellan-telescope-brings-new-partner-fold

Are completely arbitrary minimum page / word count criteria still a thing in school and academia?
As a person that likes to get to the point quickly, I always fell short of these artificial requirements and yet it never affected my grades, because I said everything there is to say.
In times of LLMs, I do wonder how many students feel pressured to reach for ChatGPT just because their natural way of writing does not conform to excessive prose expectations.

The wheel keeps turning
SciComm academics

↙️ ↖️
despise despise

Tech & Biz ➡️ "Serious"
Writers despise Academia

academia_edu: Academica.edu (2011)
Snapshot of the follower relationships among users of academia.edu, a platform for academics to share research papers, scraped in 2011. Nodes are users and a directed edge (i,j) denotes that user i follows j.
This network has 200169 nodes and 1398063 edges.
Tags: Social, Online, Unweighted
https://

Only started reading Katabasis, but if there ever was a book about the literal dark side of academia, this sharp-tongued novel should be considered.

🇺🇦 #NowPlaying on BBCRadio3's #ThroughTheNight
Wolfgang Amadeus Mozart, Arianna Vendittelli, Emilie Renard, Rupert Charlesworth, Marcell Bakonyi, Coro Maghini, Claudio Chiavazza, Academia Montis Regalis & Alessandro De Marchi:
🎵 Mass in C major, K.317 'Coronation'

TFW your university adopts a new, "streamlined" expense reimbursement system while allowing new submissions to the old system that just... disappear. Of course, no one thought to put a link in flashing letters saying "use the new site instead"!!! Oh, and did I mention that the new system is "streamlined"? There's no way I just spent an absurdly long time trying to get reimbursed for a few books.

Report of the 2025 Workshop on Next-Generation Ecosystems for Scientific Computing: Harnessing Community, Software, and AI for Cross-Disciplinary Team Science
L. C. McInnes, D. Arnold, P. Balaprakash, M. Bernhardt, B. Cerny, A. Dubey, R. Giles, D. W. Hood, M. A. Leung, V. Lopez-Marrero, P. Messina, O. B. Newton, C. Oehmen, S. M. Wild, J. Willenbring, L. Woodley, T. Baylis, D. E. Bernholdt, C. Camano, J. Cohoon, C. Ferenbaugh, S. M. Fiore, S. Gesing, D. Gomez-Zara, J. Howison, T. Islam,…

Report of the 2025 Workshop on Next-Generation Ecosystems for Scientific Computing: Harnessing Community, Software, and AI for Cross-Disciplinary Team Science
This report summarizes insights from the 2025 Workshop on Next-Generation Ecosystems for Scientific Computing: Harnessing Community, Software, and AI for Cross-Disciplinary Team Science, which convened more than 40 experts from national laboratories, academia, industry, and community organizations to chart a path toward more powerful, sustainable, and collaborative scientific software ecosystems. To address urgent challenges at the intersection of high-performance computing (HPC), AI, and scien…

@… @… @… In academia, people love to blame supervisors or “the system,” …

me 👵: "Haven't you considered staying in science/academia?"
fantastic almost finished female PhD student, about to start an industry job 🤩: "Well, yes sure..."
👵: "But... ?"
🤩: "... but I don't want to be a professor"
👵: "..."
🤩: "... and I don't want to move town either"
👵: "ah"
#academicChatter

academia_edu: Academica.edu (2011)
Snapshot of the follower relationships among users of academia.edu, a platform for academics to share research papers, scraped in 2011. Nodes are users and a directed edge (i,j) denotes that user i follows j.
This network has 200169 nodes and 1398063 edges.
Tags: Social, Online, Unweighted
https://

Harvard hiring investigation could upend employment practices for institutions well beyond academia (Aidan Ryan/The Boston Globe)
https://www.bostonglobe.com/2025/08/18/metro/harvard-trump-hiring-investigation-diversity/
http://www.memeorandum.com/250819/p60#a250819p60

What Do We Mean When We Talk About Data Storytelling?
Leni Yang, Zezhong Wang, Xingyu Lan
https://arxiv.org/abs/2510.04761 https://arxiv.org/pdf/2510.04761…

What Do We Mean When We Talk About Data Storytelling?
We have witnessed rapid growth in data storytelling research. Scholars from multiple disciplines have contributed new theories and techniques surrounding data storytelling. However, with this prolific development, a fuzzy boundary of data storytelling comes. We argue that understanding how "data storytelling" has been defined and interpreted by academia is crucial for facilitating communication between researchers, encouraging the consistent use of concepts and measures, assisting newcomers in …

Characterizing Trust Boundary Vulnerabilities in TEE Containers
Weijie Liu, Hongbo Chen, Shuo Huai, Zhen Xu, Wenhao Wang, Zhi Li, Zheli Liu
https://arxiv.org/abs/2508.20962 http…

Characterizing Trust Boundary Vulnerabilities in TEE Containers
Trusted Execution Environments (TEEs) have emerged as a cornerstone of confidential computing, garnering significant attention from both academia and industry. To enable the secure development, execution, and deployment, of applications on TEE platforms, TEE containers have been introduced as middleware solutions. These containers aim to shield applications from potentially malicious operating systems and orchestration interfaces while maintaining usability and reliability. In this paper, we an…

Lost in Transition: The Struggle of Women Returning to Software Engineering Research after Career Breaks
Shalini Chakraborty, Sebastian Baltes
https://arxiv.org/abs/2509.21533 h…

Lost in Transition: The Struggle of Women Returning to Software Engineering Research after Career Breaks
The IT industry provides supportive pathways such as returnship programs, coding boot camps, and buddy systems for women re-entering their job after a career break. Academia, however, offers limited opportunities to motivate women to return. We propose a diverse multicultural research project investigating the challenges faced by women with software engineering (SE) backgrounds re-entering academia or related research roles after a career break. Career disruptions due to pregnancy, immigration …

The colleague who explicitly used AI to design their syllabus has a marking scheme that adds up to 115%...
#academia #LLM

Acordei tarde porque coloquei o alarme pra despertar Šs sextas pois antigamente este era o dia em que eu ia pra academia e troquei recentemente este dia para os sšbados. 😬

In other news, the merger between RT, TASS and NBC has been approved by the FCC... 😏
#censorship #StateRunMedia #news

“Against the Uncritical Adoption of 'AI' Technologies in Academia”
https://zenodo.org/records/17065099

BaseReward: A Strong Baseline for Multimodal Reward Model
Yi-Fan Zhang, Haihua Yang, Huanyu Zhang, Yang Shi, Zezhou Chen, Haochen Tian, Chaoyou Fu, Haotian Wang, Kai Wu, Bo Cui, Xu Wang, Jianfei Pan, Haotian Wang, Zhang Zhang, Liang Wang
https://arxiv.org/abs/2509.16127

BaseReward: A Strong Baseline for Multimodal Reward Model
The rapid advancement of Multimodal Large Language Models (MLLMs) has made aligning them with human preferences a critical challenge. Reward Models (RMs) are a core technology for achieving this goal, but a systematic guide for building state-of-the-art Multimodal Reward Models (MRMs) is currently lacking in both academia and industry. Through exhaustive experimental analysis, this paper aims to provide a clear ``recipe'' for constructing high-performance MRMs. We systematically investigate eve…

“By the time I graduated high school, I had decided to be a minister,” Scott ’62 B.D. says. “At that time, to me, serving God was the number one thing in life.”
https://divinity.yale.edu/news/2025-09-04-a-season-for-eve…

Industry Insights into Quantum Knowledge Needed for the Quantum Information Science and Engineering Workforce
A. R. Pina, Shams El-Adawy, H. J. Lewandowski, Benjamin M. Zwickl
https://arxiv.org/abs/2508.15039

Industry Insights into Quantum Knowledge Needed for the Quantum Information Science and Engineering Workforce
Quantum Information Science and Engineering (QISE) education and workforce development are top priorities at the national level in the US. This has included a push for academia to support the development of programs that will prepare students to enter the QISE workforce. As the field of QISE has grown rapidly in academia and industry, there is a need to better understand what quantum knowledge is needed for students to be ready for the workforce. We present preliminary findings on the level of …

Bridging Simulation and Silicon: A Study of RISC-V Hardware and FireSim Simulation
Atanu Barai, Kamalavasan Kamalakkannan, Patrick Diehl, Maxim Moraru, Jered Dominguez-Trujillo, Howard Pritchard, Nandakishore Santhi, Farzad Fatollahi-Fard, Galen Shipman
https://arxiv.org/abs/2509.18472

🇺🇦 #NowPlaying on BBCRadio3's #ThroughTheNight
Wolfgang Amadeus Mozart, Arianna Venditelli, Emilie Renard, Rupert Charlesworth, Marcell Bakonyi, Coro Maghini, Claudio Chiavazza, Academia Montis Regalis & Alessandro De Marchi:
🎵 Vesperae solennes de confessore, K.339
https://open.spotify.com/track/7MlHucv0JlJLiWlMjgXA0e

Roadblocks and Opportunities in Quantum Algorithms -- Insights from the National Quantum Initiative Joint Algorithms Workshop, May 20--22, 2024
Eliot Kapit, Peter Love, Jeffrey Larson, Andrew Sornborger, Eleanor Crane, Alexander Schuckert, Teague Tomesh, Frederic Chong, Sabre Kais
https://arxiv.org/abs/2508.13973

Roadblocks and Opportunities in Quantum Algorithms -- Insights from the National Quantum Initiative Joint Algorithms Workshop, May 20--22, 2024
The National Quantum Initiative Joint Algorithms Workshop brought together researchers across academia, national laboratories, and industry to assess the current landscape of quantum algorithms and discuss roadblocks to progress. The workshop featured discussions on emerging algorithmic techniques, resource constraints in near-term hardware, and opportunities for co-design across software and systems. Presented here are seven topics from the workshop, each highlighting a critical challenge or p…

Proceedings of the Sixteenth International Symposium on Games, Automata, Logics, and Formal Verification
Giorgio Bacci (Aalborg University, Denmark), Adrian Francalanza (University of Malta)
https://arxiv.org/abs/2509.13258

Proceedings of the Sixteenth International Symposium on Games, Automata, Logics, and Formal Verification
This volume contains the proceedings of GandALF 2025, the Sixteenth International Symposium on Games, Automata, Logics, and Formal Verification. GandALF 2025 took place on 16-17th September 2025, in Valletta, Malta. The aim of GandALF 2025 is to bring together researchers from academia and industry who are actively working in the fields of Games, Automata, Logics, and Formal Verification. The idea is to cover an ample spectrum of themes, ranging from theory to applications, and stimulate cross-…

Where 6G Stands Today: Evolution, Enablers, and Research Gaps
Salma Tika, Abdelkrim Haqiq, Essaid Sabir, Elmahdi Driouch
https://arxiv.org/abs/2509.19646 https://

Where 6G Stands Today: Evolution, Enablers, and Research Gaps
As the fifth-generation (5G) mobile communication system continues its global deployment, both industry and academia have started conceptualizing the 6th generation (6G) to address the growing need for a progressively advanced and digital society. Even while 5G offers considerable advancements over LTE, it could struggle to be sufficient to meet all of the requirements, including ultra-high reliability, seamless automation, and ubiquitous coverage. In response, 6G is supposed to bring out a hig…

SQL-of-Thought: Multi-agentic Text-to-SQL with Guided Error Correction
Saumya Chaturvedi, Aman Chadha, Laurent Bindschaedler
https://arxiv.org/abs/2509.00581 https://

SQL-of-Thought: Multi-agentic Text-to-SQL with Guided Error Correction
Converting natural language queries into SQL queries is a crucial challenge in both industry and academia, aiming to increase access to databases and large-scale applications. This work examines how in-context learning and chain-of-thought can be utilized to develop a robust solution for text-to-SQL systems. We propose SQL-of-Thought: a multi-agent framework that decomposes the Text2SQL task into schema linking, subproblem identification, query plan generation, SQL generation, and a guided corr…

Mitigating Distribution Shift in Stock Price Data via Return-Volatility Normalization for Accurate Prediction
Hyunwoo Lee, Jihyeong Jeon, Jaemin Hong, U Kang
https://arxiv.org/abs/2508.20108

Mitigating Distribution Shift in Stock Price Data via Return-Volatility Normalization for Accurate Prediction
How can we address distribution shifts in stock price data to improve stock price prediction accuracy? Stock price prediction has attracted attention from both academia and industry, driven by its potential to uncover complex market patterns and enhance decisionmaking. However, existing methods often fail to handle distribution shifts effectively, focusing on scaling or representation adaptation without fully addressing distributional discrepancies and shape misalignments between training and t…

Estou me sentindo culpado por ter acordado tarde demais e não ter ido pra academia hoje. Mas, ainda assim, vou manter os planos originais e tirar o dia de folga. Então segura as pontas daqui da rede até eu voltar mais tarde rs.

Bias is a Math Problem, AI Bias is a Technical Problem: 10-year Literature Review of AI/LLM Bias Research Reveals Narrow [Gender-Centric] Conceptions of 'Bias', and Academia-Industry Gap
Sourojit Ghosh, Kyra Wilson
https://arxiv.org/abs/2508.11067

Bias is a Math Problem, AI Bias is a Technical Problem: 10-year Literature Review of AI/LLM Bias Research Reveals Narrow [Gender-Centric] Conceptions of 'Bias', and Academia-Industry Gap
The rapid development of AI tools and implementation of LLMs within downstream tasks has been paralleled by a surge in research exploring how the outputs of such AI/LLM systems embed biases, a research topic which was already being extensively explored before the era of ChatGPT. Given the high volume of research around the biases within the outputs of AI systems and LLMs, it is imperative to conduct systematic literature reviews to document throughlines within such research. In this paper, we c…

An Enhanced Audio Feature Tailored for Anomalous Sound Detection Based on Pre-trained Models
Guirui Zhong, Qing Wang, Jun Du, Lei Wang, Mingqi Cai, Xin Fang
https://arxiv.org/abs/2508.15334

An Enhanced Audio Feature Tailored for Anomalous Sound Detection Based on Pre-trained Models
Anomalous Sound Detection (ASD) aims at identifying anomalous sounds from machines and has gained extensive research interests from both academia and industry. However, the uncertainty of anomaly location and much redundant information such as noise in machine sounds hinder the improvement of ASD system performance. This paper proposes a novel audio feature of filter banks with evenly distributed intervals, ensuring equal attention to all frequency ranges in the audio, which enhances the detect…

Designing across domains with declarative thinking: Insights from the 96-Eyes ptychographic imager project
Antony C Chan
https://arxiv.org/abs/2508.18512 https://

Designing across domains with declarative thinking: Insights from the 96-Eyes ptychographic imager project
This article presents a practitioner's reflection on applying declarative, 5th generation, problem formulation language (5GL) to de novo imaging system design, informed by experiences across the interdisciplinary research in academia and cross-functional product development within the private sector. Using the 96-Eyes project: 96-camera parallel multi-modal imager for high-throughput drug discovery as a representative case, I illustrate how project requirements, ranging from hardware constraint…

faculty_hiring_us: Faculty hiring networks in the US (2022)
Networks of faculty hiring for all PhD-granting US universities over the decade 2011–2020. Each node is a PhD-granting institution, and a directed edge (i,j) indicates that a person received their PhD from node i and was tenure-track faculty at node j during time of collection (2011-2020). This dataset is divided into separate networks for all 107 fields, as well as aggregate networks for 8 domains, and an overall network for …

This truly awful web interface has me swearing at my screen. I must be applying for a grant!
#academia

Replaced article(s) found for cs.DL. https://arxiv.org/list/cs.DL/new
[1/1]:
- Authorship conflicts in academia: an international cross-discipline survey
Elizaveta Savchenko, Ariel Rosenfeld

Taming Serverless Cold Starts Through OS Co-Design
Ben Holmes, Baltasar Dinis, Lana Honcharuk, Joshua Fried, Adam Belay
https://arxiv.org/abs/2509.14292 https://

Taming Serverless Cold Starts Through OS Co-Design
Serverless computing promises fine-grained elasticity and operational simplicity, fueling widespread interest from both industry and academia. Yet this promise is undercut by the cold setart problem, where invoking a function after a period of inactivity triggers costly initialization before any work can begin. Even with today's high-speed storage, the prevailing view is that achieving sub-millisecond cold starts requires keeping state resident in memory. This paper challenges that assumption…

Primeiro dia voltando pra academia/Pilates depois de muito tempo sem vir (sendo que em nenhum momento eu cheguei a pegar alguma regularidade nisso). Até que não foi ruim, considerando isso. Mas estou morto. E dou aula até Šs dez da noite hoje. 😬

MoveScanner: Analysis of Security Risks of Move Smart Contracts
Yuhe Lu, Zhongwen Li, Xiaoqi Li
https://arxiv.org/abs/2508.17964 https://arxiv.org/pdf/2508…

MoveScanner: Analysis of Security Risks of Move Smart Contracts
As blockchain technology continues to evolve, the security of smart contracts has increasingly drawn attention from both academia and industry. The Move language, with its unique resource model and linear type system, provides a solid foundation for the security of digital assets. However, smart contracts still face new security challenges due to developer programming errors and the potential risks associated with cross-module interactions. This paper systematically analyzes the limitations of …

Replaced article(s) found for physics.soc-ph. https://arxiv.org/list/physics.soc-ph/new
[1/1]:
- Parenthood Penalties in Academia: Childcare Responsibilities, Gender Role Beliefs and Institution...
Xi Hong, Xiang Zheng, Haimiao Yuan, Chaoqun Ni

“Ya sea en el trabajo posfordista o en la academia, los ubicuos sistemas de evaluación y la autoevaluación, las auditorías permanentes y la postergación indefinida de los deberes conducen a un cuadro psicológico donde impera la ansiedad perpetua y la insatisfacción.”

A Scenario-Oriented Survey of Federated Recommender Systems: Techniques, Challenges, and Future Directions
Yunqi Mi, Jiakui Shen, Guoshuai Zhao, Jialie Shen, Xueming Qian
https://arxiv.org/abs/2508.19620

A Scenario-Oriented Survey of Federated Recommender Systems: Techniques, Challenges, and Future Directions
Extending recommender systems to federated learning (FL) frameworks to protect the privacy of users or platforms while making recommendations has recently gained widespread attention in academia. This is due to the natural coupling of recommender systems and federated learning architectures: the data originates from distributed clients (mostly mobile devices held by users), which are highly related to privacy. In a centralized recommender system (CenRec), the central server collects clients' da…

TrajSV: A Trajectory-based Model for Sports Video Representations and Applications
Zheng Wang, Shihao Xu, Wei Shi
https://arxiv.org/abs/2508.11569 https://…

TrajSV: A Trajectory-based Model for Sports Video Representations and Applications
Sports analytics has received significant attention from both academia and industry in recent years. Despite the growing interest and efforts in this field, several issues remain unresolved, including (1) data unavailability, (2) lack of an effective trajectory-based framework, and (3) requirement for sufficient supervision labels. In this paper, we present TrajSV, a trajectory-based framework that addresses various issues in existing studies. TrajSV comprises three components: data preprocessi…

Survey of Vision-Language-Action Models for Embodied Manipulation
Haoran Li, Yuhui Chen, Wenbo Cui, Weiheng Liu, Kai Liu, Mingcai Zhou, Zhengtao Zhang, Dongbin Zhao
https://arxiv.org/abs/2508.15201

Survey of Vision-Language-Action Models for Embodied Manipulation
Embodied intelligence systems, which enhance agent capabilities through continuous environment interactions, have garnered significant attention from both academia and industry. Vision-Language-Action models, inspired by advancements in large foundation models, serve as universal robotic control frameworks that substantially improve agent-environment interaction capabilities in embodied intelligence systems. This expansion has broadened application scenarios for embodied AI robots. This survey …

Statistical Arbitrage in Options Markets by Graph Learning and Synthetic Long Positions
Yoonsik Hong, Diego Klabjan
https://arxiv.org/abs/2508.14762 https://

Statistical Arbitrage in Options Markets by Graph Learning and Synthetic Long Positions
Statistical arbitrages (StatArbs) driven by machine learning has garnered considerable attention in both academia and industry. Nevertheless, deep-learning (DL) approaches to directly exploit StatArbs in options markets remain largely unexplored. Moreover, prior graph learning (GL) -- a methodological basis of this paper -- studies overlooked that features are tabular in many cases and that tree-based methods outperform DL on numerous tabular datasets. To bridge these gaps, we propose a two-sta…

Hoje serš um dia pesado. Acordei cedo, apesar de ainda estar dormindo tarde e com o sono acumulado de všrios dias. E retornando ao Pilates e academia após všrias semanas sem ir e ainda voltando a dar aulas hoje, só volto pra casa lš pelas onze da noite. 😞

faculty_hiring_us: Faculty hiring networks in the US (2022)
Networks of faculty hiring for all PhD-granting US universities over the decade 2011–2020. Each node is a PhD-granting institution, and a directed edge (i,j) indicates that a person received their PhD from node i and was tenure-track faculty at node j during time of collection (2011-2020). This dataset is divided into separate networks for all 107 fields, as well as aggregate networks for 8 domains, and an overall network for …

Lightweight Gradient Descent Optimization for Mitigating Hardware Imperfections in RIS Systems
Pedro H. C. de Souza (National Institute of Telecommunications), Luiz A. M. Pereira (National Institute of Telecommunications), Faustino R. G\'omez (National Institute of Telecommunications), Elsa M. Mater\'on (National Institute of Telecommunications), Jorge Ricardo Mej\'ia-Salazar (National Institute of Telecommunications)

Lightweight Gradient Descent Optimization for Mitigating Hardware Imperfections in RIS Systems
Ongoing discussions about the future of wireless communications are reaching a turning point as standardization activities for the sixth generation of mobile networks (6G) become more mature. New technologies must now face renewed scrutiny by the industry and academia in order to be ready for deployment in the near future. Recently, reconfigurable intelligent surfaces (RISs) gained attention as a promising solution for improving the propagation conditions of signal transmission in general. The …

DIT: Dimension Reduction View on Optimal NFT Rarity Meters
Dmitry Belousov, Yury Yanovich
https://arxiv.org/abs/2508.12671 https://arxiv.org/pdf/2508.12671…

DIT: Dimension Reduction View on Optimal NFT Rarity Meters
Non-fungible tokens (NFTs) have become a significant digital asset class, each uniquely representing virtual entities such as artworks. These tokens are stored in collections within smart contracts and are actively traded across platforms on Ethereum, Bitcoin, and Solana blockchains. The value of NFTs is closely tied to their distinctive characteristics that define rarity, leading to a growing interest in quantifying rarity within both industry and academia. While there are existing rarity mete…

Hoje acordei cansado e quase morri no Pilates. Mas me forcei a ir pra academia depois, embora tenha me limitado a correr na esteira quase em câmera lenta. Ainda assim, a sensação é de que mereço uma medalha rs.

Systematic Review Of Collaborative Learning Activities For Promoting AI Literacy
Ashish Hingle, Aditya Johri
https://arxiv.org/abs/2508.15111 https://arxiv…

Systematic Review Of Collaborative Learning Activities For Promoting AI Literacy
Improving artificial intelligence (AI) literacy has become an important consideration for academia and industry with the widespread adoption of AI technologies. Collaborative learning (CL) approaches have proven effective for information literacy, and in this study, we investigate the effectiveness of CL in improving AI knowledge and skills. We systematically collected data to create a corpus of nine studies from 2015-2023. We used the Interactive-Constructive-Active-Passive (ICAP) framework to…

Thunderhammer: Rowhammer Bitflips via PCIe and Thunderbolt (USB-C)
Robert Dumitru (Jing), Junpeng Wan (Jing), Daniel Genkin (Jing), Rick Kennell (Jing), Dave (Jing), Tian, Yuval Yarom
https://arxiv.org/abs/2509.11440

Thunderhammer: Rowhammer Bitflips via PCIe and Thunderbolt (USB-C)
In recent years, Rowhammer has attracted significant attention from academia and industry alike. This technique, first published in 2014, flips bits in memory by repeatedly accessing neighbouring memory locations. Since its discovery, researchers have developed a substantial body of work exploiting Rowhammer and proposing countermeasures. These works demonstrate that Rowhammer can be mounted not only through native code, but also via remote code execution, such as JavaScript in browsers, and ov…

faculty_hiring_us: Faculty hiring networks in the US (2022)
Networks of faculty hiring for all PhD-granting US universities over the decade 2011–2020. Each node is a PhD-granting institution, and a directed edge (i,j) indicates that a person received their PhD from node i and was tenure-track faculty at node j during time of collection (2011-2020). This dataset is divided into separate networks for all 107 fields, as well as aggregate networks for 8 domains, and an overall network for …

Vibe Coding for UX Design: Understanding UX Professionals' Perceptions of AI-Assisted Design and Development
Jie Li, Youyang Hou, Laura Lin, Ruihao Zhu, Hancheng Cao, Abdallah El Ali
https://arxiv.org/abs/2509.10652

Vibe Coding for UX Design: Understanding UX Professionals' Perceptions of AI-Assisted Design and Development
Generative AI is reshaping UX design practices through "vibe coding," where UX professionals express intent in natural language and AI translates it into functional prototypes and code. Despite rapid adoption, little research has examined how vibe coding reconfigures UX workflows and collaboration. Drawing on interviews with 20 UX professionals across enterprises, startups, and academia, we show how vibe coding follows a four-stage workflow of ideation, AI generation, debugging, and review. Thi…

Using Oral Exams in Physics and Astronomy Courses
Brian DiGiorgio Zanger
https://arxiv.org/abs/2509.09846 https://arxiv.org/pdf/2509.09846

Using Oral Exams in Physics and Astronomy Courses
Oral exams were common historically across academia, though their popularity has recently fallen. Many argue against them as an assessment technique because they are vulnerable to bias and subjectivity, difficult to administer, and impractical in large college classes. I present a method for administering oral examinations in upper-level courses that mitigates some of the disadvantages. This method creates a rigid question structure meant to assess student mastery of material, have a well-defin…

Me sentindo culpado por nos últimos dias, e também ontem, desnecessariamente ter dormido muito tarde e, por conta disso, hoje acordei tarde e não fui pra academia.

Query Logs Analytics: A Aystematic Literature Review
Dihia Lanasri
https://arxiv.org/abs/2508.13949 https://arxiv.org/pdf/2508.13949

Query Logs Analytics: A Aystematic Literature Review
In the digital era, user interactions with various resources such as databases, data warehouses, websites, and knowledge graphs (KGs) are increasingly mediated through digital platforms. These interactions leave behind digital traces, systematically captured in the form of logs. Logs, when effectively exploited, provide high value across industry and academia, supporting critical services (e.g., recovery and security), user-centric applications (e.g., recommender systems), and quality-of-servic…

Alguém aí por favor usa Phoenix Down em mim? Pois eu fui pro Pilates e pra academia hoje, e acho que morri durante o processo rs.

Caí na besteira de sentar no sofš ao chegar em casa após o Pilates/Academia. Como faz para levantar agora? rs

faculty_hiring_us: Faculty hiring networks in the US (2022)
Networks of faculty hiring for all PhD-granting US universities over the decade 2011–2020. Each node is a PhD-granting institution, and a directed edge (i,j) indicates that a person received their PhD from node i and was tenure-track faculty at node j during time of collection (2011-2020). This dataset is divided into separate networks for all 107 fields, as well as aggregate networks for 8 domains, and an overall network for …

faculty_hiring_us: Faculty hiring networks in the US (2022)
Networks of faculty hiring for all PhD-granting US universities over the decade 2011–2020. Each node is a PhD-granting institution, and a directed edge (i,j) indicates that a person received their PhD from node i and was tenure-track faculty at node j during time of collection (2011-2020). This dataset is divided into separate networks for all 107 fields, as well as aggregate networks for 8 domains, and an overall network for …

faculty_hiring_us: Faculty hiring networks in the US (2022)
Networks of faculty hiring for all PhD-granting US universities over the decade 2011–2020. Each node is a PhD-granting institution, and a directed edge (i,j) indicates that a person received their PhD from node i and was tenure-track faculty at node j during time of collection (2011-2020). This dataset is divided into separate networks for all 107 fields, as well as aggregate networks for 8 domains, and an overall network for …

faculty_hiring_us: Faculty hiring networks in the US (2022)
Networks of faculty hiring for all PhD-granting US universities over the decade 2011–2020. Each node is a PhD-granting institution, and a directed edge (i,j) indicates that a person received their PhD from node i and was tenure-track faculty at node j during time of collection (2011-2020). This dataset is divided into separate networks for all 107 fields, as well as aggregate networks for 8 domains, and an overall network for …

faculty_hiring_us: Faculty hiring networks in the US (2022)
Networks of faculty hiring for all PhD-granting US universities over the decade 2011–2020. Each node is a PhD-granting institution, and a directed edge (i,j) indicates that a person received their PhD from node i and was tenure-track faculty at node j during time of collection (2011-2020). This dataset is divided into separate networks for all 107 fields, as well as aggregate networks for 8 domains, and an overall network for …

faculty_hiring_us: Faculty hiring networks in the US (2022)
Networks of faculty hiring for all PhD-granting US universities over the decade 2011–2020. Each node is a PhD-granting institution, and a directed edge (i,j) indicates that a person received their PhD from node i and was tenure-track faculty at node j during time of collection (2011-2020). This dataset is divided into separate networks for all 107 fields, as well as aggregate networks for 8 domains, and an overall network for …