Tootfinder

Charting the Future of Scholarly Knowledge with AI: A Community Perspective
Azanzi Jiomekong, Hande K\"u\c{c}\"uk McGinty, Keith G. Mills, Allard Oelen, Enayat Rajabi, Harry McElroy, Antrea Christou, Anmol Saini, Janice Anta Zebaze, Hannah Kim, Anna M. Jacyszyn, S\"oren Auer
https://arxiv.org/abs/2509.02581

Charting the Future of Scholarly Knowledge with AI: A Community Perspective
Despite the growing availability of tools designed to support scholarly knowledge extraction and organization, many researchers still rely on manual methods, sometimes due to unfamiliarity with existing technologies or limited access to domain-adapted solutions. Meanwhile, the rapid increase in scholarly publications across disciplines has made it increasingly difficult to stay current, further underscoring the need for scalable, AI-enabled approaches to structuring and synthesizing scholarly k…

A Novel Coded Caching Scheme for Partially Cooperative Device-to-Device Networks
Rashid Ummer N. T., K. K. Krishnan Namboodiri, B. Sundar Rajan
https://arxiv.org/abs/2509.02532 …

A Novel Coded Caching Scheme for Partially Cooperative Device-to-Device Networks
Device-to-device (D2D) communication is one of the most promising techniques for future wireless cellular communication systems. This paper considers coded caching in a partially cooperative wireless D2D network, where only a subset of users transmit during delivery, while all users request files. The non-transmitting users are referred to as selfish users. All existing schemes that do not require knowledge of the identity of selfish users before content placement are limited to the high-memory…

AI Education in Higher Education: A Taxonomy for Curriculum Reform and the Mission of Knowledge
Tian Zheng
https://arxiv.org/abs/2509.23363 https://arxiv.o…

AI Education in Higher Education: A Taxonomy for Curriculum Reform and the Mission of Knowledge
Artificial intelligence (AI) is reshaping higher education, yet current debates often feel tangled, mixing concerns about pedagogy, operations, curriculum, and the future of work without a shared framework. This paper offers a first attempt at a taxonomy to organize the diverse narratives of AI education and to inform discipline-based curricular discussions. We place these narratives within the enduring responsibility of higher education: the mission of knowledge. This mission includes not only…

Sources: the number of Optimus humanoid robots Tesla has made this year is in the hundreds, well behind the pace needed to meet Musk's goal of producing 5K (The Information)
https://www.theinformation.com/articles/inside-teslas-secretive-optimus-rob…

Inside Tesla’s Secretive Optimus Robot Program
Elon Musk says humanoid robots will be the future of Tesla. The company has a long way to go. Tesla is well behind the pace necessary to meet Musk’s publicly stated goal of producing at least 5,000 of its Optimus humanoid robots this year, according to two people with knowledge of the program. ...

Day 5: Robin Wall Kimmerer
I'm taking these liberty of changing my hashtag and expanding the intent of this list to include all non-men, although Kimerer is a woman so I'll get to more gender diversity later... I've also started planning this out more and realized that I may continue a bit beyond 20...
In any case, Robin Wall Kimmerer is an Indigenous academic biologist and excellent non-fiction author whose work touches on Potawotomi philosophy, colonialism (including in academic spaces), and ideas for a better future. Anyone interested in ecology, conservation, or decolonization in North America will probably be impressed by her work and the rich connections she weaves between academic ecology and Indigenous knowledge offer a critical opportunity to expand your understanding of the world if like me you were raised deeply enmeshed in "Western" scientific tradition. I suppose a little background in skepticism helped prepare me to respect her writing, but I don't think that's essential.
I've only read "Braiding Sweetgrass," but "Gathering Moss" and her more recent "The Serviceberry" are high on my to-read list, despite my predilection for fiction. Kimmerer incorporates a backbone of fascinating anecdotes into "Braiding Sweetgrass" that makes it surprisingly easy reading for a work that's philosophical at its core. She also pulls off an impressive braided organization to the whole thing, weaving together disparate knowledges in a way that lets you see both their contradictions and their connections.
The one criticism I've seen of her work is that it's not sufficiently connected to other Indigenous philosophers & writers, and that it's perhaps too comfortable of a read for colonizers, and that seems valid to me, even though (perhaps because I am a colonizer) I still find her book important.
An excellent author in any case, and one doing concrete ideological work towards a better world.
#20AuthorsNoMen

Signal-Aware Workload Shifting Algorithms with Uncertainty-Quantified Predictors
Ezra Johnson, Adam Lechowicz, Mohammad Hajiesmaili
https://arxiv.org/abs/2509.26511 https://

Signal-Aware Workload Shifting Algorithms with Uncertainty-Quantified Predictors
A wide range of sustainability and grid-integration strategies depend on workload shifting, which aligns the timing of energy consumption with external signals such as grid curtailment events, carbon intensity, or time-of-use electricity prices. The main challenge lies in the online nature of the problem: operators must make real-time decisions (e.g., whether to consume energy now) without knowledge of the future. While forecasts of signal values are typically available, prior work on learning-…

'The digital commons should not be treated as an object ripe for extraction, but as an expression of “commoning” [Dulong de Rosnay and Stalder 2020]; i.e., as a manifestation of the practice of making, maintaining, and protecting shared and open resources.'
From 'Generative AI and the Future of the Digital Commons' https://www.…

Generative AI and the Future of the Digital Commons: Five Open Questions and Knowledge Gaps
The rapid advancement of Generative AI (GenAI) relies heavily on the digital commons, a vast collection of free and open online content that is created, shared, and maintained by communities. However, this relationship is becoming increasingly strained due to financial burdens, decreased contributions, and misalignment between AI models and community norms. As we move deeper into the GenAI era, it is essential to examine the interdependent relationship between GenAI, the long-term sustainabilit…

Perhaps future work should focus on establishing trusted enclaves of knowledge and expertise.
If you’re a knowledge worker, perhaps sharing your knowledge publicly isn’t the best idea anymore. It’s a real bummer because it makes knowledge a luxury of the elite and wealthy.
Rather than working directly on the thing, you focus on the data that feeds into the machine that works on “the thing”. :\

NAIPv2: Debiased Pairwise Learning for Efficient Paper Quality Estimation
Penghai Zhao, Jinyu Tian, Qinghua Xing, Xin Zhang, Zheng Li, Jianjun Qian, Ming-Ming Cheng, Xiang Li
https://arxiv.org/abs/2509.25179

NAIPv2: Debiased Pairwise Learning for Efficient Paper Quality Estimation
The ability to estimate the quality of scientific papers is central to how both humans and AI systems will advance scientific knowledge in the future. However, existing LLM-based estimation methods suffer from high inference cost, whereas the faster direct score regression approach is limited by scale inconsistencies. We present NAIPv2, a debiased and efficient framework for paper quality estimation. NAIPv2 employs pairwise learning within domain-year groups to reduce inconsistencies in reviewe…

How People Manage Knowledge in their "Second Brains"- A Case Study with Industry Researchers Using Obsidian
Juliana Jansen Ferreira, Vin\'icius Segura, Joana Gabriela Souza, Joao Henrique Gallas Brasil
https://arxiv.org/abs/2509.20187

How People Manage Knowledge in their "Second Brains"- A Case Study with Industry Researchers Using Obsidian
People face overwhelming information during work activities, necessitating effective organization and management strategies. Even in personal lives, individuals must keep, annotate, organize, and retrieve knowledge from daily routines. The collection of records for future reference is known as a personal knowledge base. Note-taking applications are valuable tools for building and maintaining these bases, often called a ''second brain''. This paper presents a case study on how people build and e…

A Polylogarithmic Competitive Algorithm for Stochastic Online Sorting and TSP
Andreas Kalavas, Charalampos Platanos, Thanos Tolias
https://arxiv.org/abs/2509.26073 https://

A Polylogarithmic Competitive Algorithm for Stochastic Online Sorting and TSP
In \emph{Online Sorting}, an array of $n$ initially empty cells is given. At each time step $t$, an element $x_t \in [0,1]$ arrives and must be placed irrevocably into an empty cell without any knowledge of future arrivals. We aim to minimize the sum of absolute differences between pairs of elements placed in consecutive array cells, seeking an online placement strategy that results in a final array close to a sorted one. An interesting multidimensional generalization, a.k.a. the \emph{Online T…

I had completely forgotten about Dave's manifesto, found using marginalia-search
SOCIAL NETWORKING, SOCIAL SOFTWARE AND THE FUTURE OF KNOWLEDGE MANAGEMENT | how to save the world (2003)
https://howtosavetheworld.ca/2003/05/28/social-networking-social-software-and-the-future-of-knowledge-management/

innovations from the semiconductor, electronics, metallurgy, and petroleum industries played a major role in reducing both PhotoVoltaic and Balance of System (BOS) costs,
but BOS costs were also impacted by innovations in software engineering and electric utilities.
Noninnovation factors, like efficiency gains from bulk purchasing and the accumulation of knowledge in the solar power industry, also reduced some cost variables.
In addition, while most PV panel innovations origi…

Surprisingly diverse innovations led to dramatically cheaper solar panels
A new study reveals key innovations that contributed to the rapid decline of solar energy systems, showing that many of the most significant technological advances came from outside the solar sector. This work could help businesses, researchers, and policymakers identify optimal areas for future investment.

An Unsupervised Learning Approach For A Reliable Profiling Of Cyber Threat Actors Reported Globally Based On Complete Contextual Information Of Cyber Attacks
Sawera Shahid, Umara Noor, Zahid Rashid
https://arxiv.org/abs/2509.11683

An Unsupervised Learning Approach For A Reliable Profiling Of Cyber Threat Actors Reported Globally Based On Complete Contextual Information Of Cyber Attacks
Cyber attacks are rapidly increasing with the advancement of technology and there is no protection for our information. To prevent future cyberattacks it is critical to promptly recognize cyberattacks and establish strong defense mechanisms against them. To respond to cybersecurity threats immediately, it is essential to examine the attackers skills, knowledge, and behaviors with the goal of evaluating their impact on the system and comprehending the traits associated with these attacks. Creati…

Data-Free Knowledge Distillation for LiDAR-Aided Beam Tracking in MmWave Systems
Abolfazl Zakeri, Nhan Thanh Nguyen, Ahmed Alkhateeb, Markku Juntti
https://arxiv.org/abs/2509.19092

Data-Free Knowledge Distillation for LiDAR-Aided Beam Tracking in MmWave Systems
Multimodal sensing reduces beam training overhead but is constrained by machine learning complexity and dataset demands. To address this, we propose a data-free (DF) knowledge distillation (KD) framework for efficient LiDAR-aided mmWave beam tracking, i.e., predicting the best current and future beams. Specifically, we propose a knowledge inversion framework, where a generator synthesizes LiDAR input data from random noise, guided by a loss function defined on the features and outputs of a pre-…

NASA Exoplanet Exploration Program (ExEP) Science Gap List
Karl Stapelfeldt, Eric Mamajek
https://arxiv.org/abs/2507.18665 https://arxiv.org/pdf/2507.18665…

NASA Exoplanet Exploration Program (ExEP) Science Gap List
The Exoplanet Exploration Program (ExEP) is chartered by the NASA Astrophysics Division to carry out science, research, and technology tasks that advance NASA's science goals for exoplanets. The ExEP Science Gap List is a compilation of "science gaps", defined as either: 1) The difference between knowledge needed to define requirements for specified future NASA exoplanet missions and the current state of the art, or 2) Knowledge which is needed to enhance the exoplanet science return of current…

«I don’t know how to run a community forum in this future. I do not have the time or emotional energy to screen out regular attacks by Large Language Models, with the knowledge that making the wrong decision costs a real human being their connection to a niche community. I do not know how to determine whether someone’s post about their new bicycle is genuine enthusiasm or automated astroturf.»
I hate everything about this future and how it isolates us.
https://aphyr.com/posts/389-the-future-of-forums-is-lies-i-guess

Koza and Koza-Hub for born-interoperable knowledge graph generation using KGX
Daniel R Korn, Patrick Golden, Aaron Odell, Katherina Cortes, Shilpa Sundar, Kevin Schaper, Sarah Gehrke, Corey Cox, Harry Caufield, Justin Reese, Evan Morris, Christopher J Mungall, Melissa Haendel
https://arxiv.org/abs/2509.09096

Koza and Koza-Hub for born-interoperable knowledge graph generation using KGX
Knowledge graph construction has become an essential domain for the future of biomedical research. But current approaches demand a high amount of redundant labor. These redundancies are the result of the lack of data standards and "knowledge-graph ready" data from sources. Using the KGX standard, we aim to solve these issues. Herein we introduce Koza and the Koza-Hub, a Python software package which streamlines ingesting raw biomedical information into the KGX format, and an associated set of c…

Current and Future Directions for Responsible Quantum Technologies: A ResQT Community Perspective
Adrian Schmidt, Alexandre Artaud, Arsev Umur Aydinoglu, Astrid B\"otticher, Rodrigo Araiza Bravo, Marilu Chiofalo, Rebecca Coates, Ilke Ercan, Alexei Grinbaum, Emily Haworth, Carolyn Ten Holter, Eline de Jong, Bart Karstens, Matthias C. Kettemann, Anna Kn\"orr, Clarissa Ai Ling Lee, Fabienne Marco, Wenzel Mehnert, Josephine C. Meyer, Shantanu Sharma, Pieter Vermaas, Carrie Weidne…

Current and Future Directions for Responsible Quantum Technologies: A ResQT Community Perspective
Quantum technologies (QT) are advancing rapidly, promising advancements across a wide spectrum of applications but also raising significant ethical, societal, and geopolitical impacts, including dual-use capabilities, varying levels of access, and impending quantum divide(s). To address these, the Responsible Quantum Technologies (ResQT) community was established to share knowledge, perspectives, and best practices across various disciplines. Its mission is to ensure QT developments align with …

Enhancing Knowledge Tracing through Leakage-Free and Recency-Aware Embeddings
Yahya Badran, Christine Preisach
https://arxiv.org/abs/2508.17092 https://arx…

Enhancing Knowledge Tracing through Leakage-Free and Recency-Aware Embeddings
Knowledge Tracing (KT) aims to predict a student's future performance based on their sequence of interactions with learning content. Many KT models rely on knowledge concepts (KCs), which represent the skills required for each item. However, some of these models are vulnerable to label leakage, in which input data inadvertently reveal the correct answer, particularly in datasets with multiple KCs per question. We propose a straightforward yet effective solution to prevent label leakage by mas…

Automation, AI, and the Intergenerational Transmission of Knowledge
Enrique Ide
https://arxiv.org/abs/2507.16078 https://arxiv.org/pdf/2507.16078

Automation, AI, and the Intergenerational Transmission of Knowledge
Recent advances in Artificial Intelligence (AI) have fueled predictions of unprecedented productivity growth. Yet, by enabling senior workers to perform more tasks on their own, AI may inadvertently reduce entry-level opportunities, raising concerns about how future generations will acquire essential skills. In this paper, I develop a model to examine how advanced automation affects the intergenerational transmission of knowledge. The analysis reveals that automating entry-level tasks yields im…

Real-time Anomaly Detection for Liquid Argon Time Projection Chambers
Seokju Chung, Jack Cleeve, Akshay Malige, Georgia Karagiorgi, Lino Gerlach, Adrian A. Pol, Isobel Ojalvo
https://arxiv.org/abs/2509.21817

Real-time Anomaly Detection for Liquid Argon Time Projection Chambers
We present a real-time anomaly detection framework for liquid argon time projection chambers (LArTPCs), targeting applications in particle physics experiments such as the Short Baseline Near Detector (SBND) or the future Deep Underground Neutrino Experiment (DUNE). These experiments employ detectors that generate and stream high-resolution but sparse images of neutrino and other particle interactions. Our approach utilizes anomaly detection with autoencoders, compressed through knowledge distil…

A flexible, GPU-accelerated approach for the joint characterization of LISA instrumental noise and Stochastic Gravitational Wave Backgrounds
Alessandro Santini, Martina Muratore, Jonathan Gair, Olaf Hartwig
https://arxiv.org/abs/2507.06300

A flexible, GPU-accelerated approach for the joint characterization of LISA instrumental noise and Stochastic Gravitational Wave Backgrounds
LISA data analysis represents one of the most challenging tasks ahead for the future of gravitational-wave (GW) astronomy. Characterizing the instrument's noise properties while fitting for all the other detectable sources is a key requirement of any robust inference pipeline. Noise estimation will also play a crucial role in searches and parameter estimation of cosmological and astrophysical stochastic signals. Previous studies have tackled this topic by assuming perfect knowledge of the spect…

AI-Powered Assistant for Long-Term Access to RHIC Knowledge
Mohammad Atif, Vincent Garonne, Eric Lancon, Jerome Lauret, Alexandr Prozorov, Michal Vranovsky
https://arxiv.org/abs/2509.09688

AI-Powered Assistant for Long-Term Access to RHIC Knowledge
As the Relativistic Heavy Ion Collider (RHIC) at Brookhaven National Laboratory concludes 25 years of operation, preserving not only its vast data holdings ($\sim$1 ExaByte) but also the embedded scientific knowledge becomes a critical priority. The RHIC Data and Analysis Preservation Plan (DAPP) introduces an AI-powered assistant system that provides natural language access to documentation, workflows, and software, with the aim of supporting reproducibility, education, and future discovery. B…

Incentivizing Knowledge Transfers
Zhonghong Kuang, Yi Liu, Dong Wei
https://arxiv.org/abs/2507.11018 https://arxiv.org/pdf/2507.11018…

Incentivizing Knowledge Transfers
We study the optimal design of relational contracts that incentivize an expert to share specialized knowledge with a novice. While the expert fears that a more knowledgeable novice may later erode his future rents, a third-party principal is willing to allocate her resources to facilitate knowledge transfer. In the unique profit-maximizing contract between the principal and the expert, the expert is asked to train the novice as much as possible, for free, in the initial period; knowledge transf…

Industry Perspectives on Projected Quantum Workforce Needs
Shams El-Adawy, A. R. Pi\~na, Benjamin M. Zwickl, H. J. Lewandowski
https://arxiv.org/abs/2508.15055 https://

Industry Perspectives on Projected Quantum Workforce Needs
As more physics educators are developing courses and programs to prepare students for careers in quantum information science, understanding the quantum industry's future workforce needs has become increasingly important. As part of ongoing efforts to understand the knowledge and skills needed for various job roles, we interviewed quantum industry professionals in managerial positions about workforce needs. Through thematic analysis, we identify two broad themes about projected needs. First, man…

Generative AI and the Future of the Digital Commons: Five Open Questions and Knowledge Gaps
Arman Noroozian, Lorena Aldana, Marta Arisi, Hadi Asghari, Renata Avila, Pietro Giovanni Bizzaro, Ramya Chandrasekhar, Cristian Consonni, Deborah De Angelis, Francesca De Chiara, Maria del Rio-Chanona, Melanie Dulong de Rosnay, Maria Eriksson, Frederic Font, Emilia Gomez, Val\'erian Guillier, Lisa Gutermuth, David Hartmann, Lucie-Aim\'ee Kaffee, Paul Keller, Felix Stalder, Joao Vinagre, …

Generative AI and the Future of the Digital Commons: Five Open Questions and Knowledge Gaps
The rapid advancement of Generative AI (GenAI) relies heavily on the digital commons, a vast collection of free and open online content that is created, shared, and maintained by communities. However, this relationship is becoming increasingly strained due to financial burdens, decreased contributions, and misalignment between AI models and community norms. As we move deeper into the GenAI era, it is essential to examine the interdependent relationship between GenAI, the long-term sustainabilit…

Peer Review and the Diffusion of Ideas
Binglu Wang, Zhengnan Ma, Dashun Wang, Brian Uzzi
https://arxiv.org/abs/2507.11825 https://arx…

Peer Review and the Diffusion of Ideas
This study examines a fundamental yet overlooked function of peer review: its role in exposing reviewers to new and unexpected ideas. Leveraging a natural experiment involving over half a million peer review invitations covering both accepted and rejected manuscripts, and integrating high-scale bibliographic and editorial records for 37,279 submitting authors, we find that exposure to a manuscript's core ideas significantly influences the future referencing behavior and knowledge of reviewer in…

An Investigation Into Secondary School Students' Debugging Behaviour in Python
Laurie Gale, Sue Sentance
https://arxiv.org/abs/2508.14833 https://arxiv…

An Investigation Into Secondary School Students' Debugging Behaviour in Python
Background and context: Debugging is a common and often frustrating challenge for beginner programmers. Understanding students' debugging processes can help us identify the difficulties and misunderstandings they possess. However, we currently have limited knowledge of how secondary students debug in a text-based language, a medium through which millions of students will learn to program in the future. Objectives: In this paper, we investigate the debugging behaviour of K-12 students learning a…

FrameShift: Learning to Resize Fuzzer Inputs Without Breaking Them
Harrison Green, Claire Le Goues, Fraser Brown
https://arxiv.org/abs/2507.05421 https://

FrameShift: Learning to Resize Fuzzer Inputs Without Breaking Them
Coverage-guided fuzzers are powerful automated bug-finding tools. They mutate program inputs, observe coverage, and save any input that hits an unexplored path for future mutation. Unfortunately, without knowledge of input formats--for example, the relationship between formats' data fields and sizes--fuzzers are prone to generate destructive frameshift mutations. These time-wasting mutations yield malformed inputs that are rejected by the target program. To avoid such breaking mutations, this p…

Dual-Role Dynamics in Prompting: Elementary Pre-service Teachers' AI Prompting Strategies for Representational Choices
Razan Hamed, Amogh Sirnoorkar, N. Sanjay Rebello
https://arxiv.org/abs/2508.14760

Dual-Role Dynamics in Prompting: Elementary Pre-service Teachers' AI Prompting Strategies for Representational Choices
Pre-service teachers play a unique dual role as they straddle between the roles of students and future teachers. This dual role requires them to adopt both the learner's and the instructor's perspectives while engaging with pedagogical and content knowledge. The current study investigates how pre-service elementary teachers taking a physical science course prompt AI to generate representations that effectively communicate conceptual ideas to two distinct audiences. The context involves particip…