Tootfinder

A triptych on Starhawk, who developed some of the most poignantly insightful ideas in structural theories of power, among the many philosophers, sociologists, and psychologists who wrote about theories of power in the 20th century
Note that the second and third image come from the *same book*, in the first and second chapters
I…did not expect woo poetry on magic and sexuality in a book that's highly cited by writers on theories of power

AI Models Exceed Individual Human Accuracy in Predicting Everyday Social Norms
Pontus Strimling, Simon Karlsson, Irina Vartanova, Kimmo Eriksson
https://arxiv.org/abs/2508.19004

AI Models Exceed Individual Human Accuracy in Predicting Everyday Social Norms
A fundamental question in cognitive science concerns how social norms are acquired and represented. While humans typically learn norms through embodied social experience, we investigated whether large language models can achieve sophisticated norm understanding through statistical learning alone. Across two studies, we systematically evaluated multiple AI systems' ability to predict human social appropriateness judgments for 555 everyday scenarios by examining how closely they predicted the ave…

"Veganism wasn’t meant to be like other food fads: it was intended to benefit not just the individual but society as a whole. Eating less meat would reduce greenhouse gas emissions and animal suffering. The evidence is clear. But right now we can’t be bothered "
Why the vegans lost https://on.ft.com/4mzHgFz

Improving the State of the Art for Training Human-AI Teams: Technical Report #5 -- Individual Differences and Team Qualities to Measure in a Human-AI Teaming Testbed
Lillian Asiala, James E. McCarthy
https://arxiv.org/abs/2507.18878

Improving the State of the Art for Training Human-AI Teams: Technical Report #5 -- Individual Differences and Team Qualities to Measure in a Human-AI Teaming Testbed
Sonalysts, Inc. (Sonalysts) is working on an initiative to expand our expertise in teaming to include Human-Artificial Intelligence (AI) teams. The first step of this process is to develop a Synthetic Task Environment (STE) to support our original research. Prior knowledge elicitation efforts within the Human-AI teaming research stakeholder community revealed a desire to support data collection using pre- and post-performance surveys. In this technical report, we review a number of constructs t…

windsurfers: Windsurfers network (1986)
A network of interpersonal contacts among windsurfers in southern California during the Fall of 1986. The edge weights indicate the perception of social affiliations majored by the tasks in which each individual was asked​ to sort cards with other surfer’s name in the order of closeness.
This network has 43 nodes and 336 edges.
Tags: Social, Offline, Weighted

Former Biden Deputy AG
Lisa Monaco now a target.
In his latest turn,
Trump is now trying to pressure a private corporation (Microsoft)
to fire an individual executive that he does not like.
https://bsky.app/profile/ericlipton.nytimes.com/post/3lztktp…

This excellent piece by Ken White is long, but worth your time to read if you want to understand how and why public discourse in America is broken.
https://www.popehat.com/p/how-free-speech-culture-is-killing-free-speech-part-one

How "Free Speech Culture" Is Killing Free Speech: Part One
Blurring The Lines Between Official Censorship And Individual Criticism Built The Intellectual Foundation For Trump's Assault On Free Expression

@… I imagine it was a lot of work, yes. Personally, I will be waiting a couple more years to play it. Just because some people had to work hard to make it doesn’t mean it’s worth so much to me, an individual, and I can’t imagine too many others will bite at that price either.

DX Engineering invited John Robert Stratton N5AUS, ARRL West Gulf Director, to give more details about why this new attempt to give #HamRadio similar rights already given for broadcast antennas (the FCC's Over-the-Air Reception Devices, or "OTARD", rule) has a real chance to pass this time.
Go to

Temporal coding carries more stable cortical visual representations than firing rate over time https://www.nature.com/articles/s41467-025-62069-2 A decent Neuralink Blindsight, Revision Implant or Phosphoenix brain implant will require more than a basic pixel-to-electrode stimulation…

In case you didn't have the chance to visit our poster on NFDIcore 3.0: A Mid-Level BFO2020-Compliant Ontology for Sustainable Research Data Interoperability Across Consortia, you can find it here on Zenodo:
https://zenodo.org/records/16946279
Corresponding abstract:

In my youth I found it embarrassing. Why would my aunt insist on drawing attention to us everywhere we went?
As I get older, I’m starting to see it.
She was doing everything in her power, as much power as one individual in a society has, to ensure prosperity for all of us.
That might sound grandiose, but I’m convinced it’s true.

Series A, Episode 01 - The Way Back
BLAKE: No drugs!
HAVANT: A mild sedative to help you to sleep. You must rest.
BLAKE: No! No drugs.
HAVANT: All right, no drugs. Now try not to think anymore. Don't worry, we'll get it sorted out.
https://blake.torpidity.net/m/101/117

@… Boycotting software, especially when it is open source, because of the personal views of a single individual is small-minded and pointless. Nothing will change. The person in question does not care at all about your boycott, so I do not care either and will use a great free piece of software that will continue to exist whether I or anyone else boycotts that per…

Laser-induced transient opacity in helium nanodroplets probed by single-shot coherent diffraction
Julian C. Sch\"afer-Zimmermann, Tom von Scheven, Katharina Kolatzki, Bj\"orn Kruse, Bruno Langbehn, Thomas M\"oller, Nils Monserud, Mario Sauppe, Bernd Sch\"utte, Bj\"orn Senfftleben, Rico Mayro P. Tanyag, Anatoli Ulmer, Thomas Fennel, Marc J. J. Vrakking, Arnaud Rouz\'ee, Daniela Rupp

Laser-induced transient opacity in helium nanodroplets probed by single-shot coherent diffraction
Single-shot coherent diffractive imaging (CDI) with intense short-wavelength light pulses enables the structural characterization of individual nanoparticles in free flight with high spatial and temporal resolution. Conventional CDI assumes that the target object exhibits a linear scattering response and static electronic properties. Here, we extend this approach to investigate transient laser-driven modifications of the electronic structure in individual nanoparticles, imprinted in their time-…

Boosting Micro-Expression Analysis via Prior-Guided Video-Level Regression
Zizheng Guo, Bochao Zou, Yinuo Jia, Xiangyu Li, Huimin Ma
https://arxiv.org/abs/2508.18834 https://

Boosting Micro-Expression Analysis via Prior-Guided Video-Level Regression
Micro-expressions (MEs) are involuntary, low-intensity, and short-duration facial expressions that often reveal an individual's genuine thoughts and emotions. Most existing ME analysis methods rely on window-level classification with fixed window sizes and hard decisions, which limits their ability to capture the complex temporal dynamics of MEs. Although recent approaches have adopted video-level regression frameworks to address some of these challenges, interval decoding still depends on manu…

Influence of the majority group on individual judgments in online spontaneous conversations
Diletta Goglia, Davide Vega, Alessio Gandelli
https://arxiv.org/abs/2509.21092 https:…

Influence of the majority group on individual judgments in online spontaneous conversations
This study investigates how the majority group influences individual judgment formation and expression in anonymous, spontaneous online conversations. Drawing on theories of social conformity and anti-conformity, we analyze everyday dilemmas discussed on social media. First, using digital traces to operationalize judgments, we measure the conversations' disagreement and apply Bayesian regression to capture shifts of judgments formation before and after the group's exposure. Then we analyze chan…

TCS - the weak link?
The cyberattack on Jaguar Land Rover is showing us in real time how individual decisions from private enterprise to outsource tech functions like cybersecurity can end up having a much bigger impact, and a cost to taxpayers.
https://www.computing.co.…

When private cybersecurity outsourcing costs us all
The cyberattack on Jaguar Land Rover is showing us in real time how individual decisions from private enterprise to outsource tech functions like cybersecurity can ...

Any good selfhostable webuis for yt-dlp out there that lets you like download a bunch of videos from different places at the same time and like having individual progress bars and individual errors for them?

Contesting fake news
Daniel Rehsmann, B\'eatrice Roussillon, Paul Schweinzer
https://arxiv.org/abs/2508.19837 https://arxiv.org/pdf/2508.19837

Contesting fake news
We model competition on a credence goods market governed by an imperfect label, signaling high quality, as a rank-order tournament between firms. In this market interaction, asymmetric firms jointly and competitively control the aggregate precision of a label ranking the competitors' qualities by releasing individual information. While the labels and the aggregated information they are based on can be seen as a public good guiding the consumers' purchasing decisions, individual firms have incen…

🏃🏿‍♀️‍➡️ Researchers find that individual practice is the secret to maintaining high team performance over time
https://phys.org/news/2025-07-individual-secret-high-team.html

Researchers find that individual practice is the secret to maintaining high team performance over time
When it comes to learning and retaining complex skills, a new study from Texas A&M University uncovered a surprising finding: in the context of teams, having employees practice skills alone may be the best way to help the team succeed.

Guyton progressing well, returns to limited Cowboys' practice https://www.dallascowboys.com/news/guyton-progressing-well-returns-to-limited-cowboys-practice

Local Statistics of the $M_n$-Dimer Model
Nickolas Anderson, Moriah Elkin, Elizabeth Kelley, Nicholas Ovenhouse, Kayla Wright
https://arxiv.org/abs/2508.19224 https://

Local Statistics of the $M_n$-Dimer Model
The classical dimer model is concerned with the (weighted) enumeration of perfect matchings of a graph. An $n$-dimer cover is a multiset of edges that can be realized as the disjoint union of $n$ individual matchings. For a probability measure recently defined by Douglas, Kenyon, and Shi, which we call the $M_n$-dimer model, we study random $n$-dimer covers on bipartite graphs with matrix edge weights and produce formulas for local edge statistics and correlations. We also classify local moves …

Adaptive Learning Systems: Personalized Curriculum Design Using LLM-Powered Analytics
Yongjie Li, Ruilin Nong, Jianan Liu, Lucas Evans
https://arxiv.org/abs/2507.18949 https://

Adaptive Learning Systems: Personalized Curriculum Design Using LLM-Powered Analytics
Large language models (LLMs) are revolutionizing the field of education by enabling personalized learning experiences tailored to individual student needs. In this paper, we introduce a framework for Adaptive Learning Systems that leverages LLM-powered analytics for personalized curriculum design. This innovative approach uses advanced machine learning to analyze real-time data, allowing the system to adapt learning pathways and recommend resources that align with each learner's progress. By co…

Implicit and Explicit Formulas of the Joint RDF for a Tuple of Multivariate Gaussian Sources with Individual Square-Error Distortions
Evagoras Stylianou, Charalambos D. Charalambous, Themistoklis Charalambous
https://arxiv.org/abs/2508.16301

Implicit and Explicit Formulas of the Joint RDF for a Tuple of Multivariate Gaussian Sources with Individual Square-Error Distortions
This paper analyzes the joint Rate Distortion Function (RDF) of correlated multivariate Gaussian sources with individual square-error distortions. Leveraging Hotelling's canonical variable form, presented is a closed-form characterization of the joint RDF, that involves {a system of nonlinear equations. Furthermore, for the special case of symmetric distortions (i.e., equal distortions), the joint RDF is explicitly expressed in terms of} two water-filling variables. The results greatly improve …

Don't forget to push to prod before you leave for the day!

Estimating Sensitivity Maps for X-Nuclei Magnetic Resonance Spectroscopic Imaging
Nicholas Dwork, Jeremy W. Gordon, Shuyu Tang, Peder E. Z. Larson
https://arxiv.org/abs/2507.18850

Estimating Sensitivity Maps for X-Nuclei Magnetic Resonance Spectroscopic Imaging
The purpose of this research is to estimate sensitivity maps when imaging X-nuclei that may not have a significant presence throughout the field of view. We propose to estimate the coil's sensitivities by solving a least-squares problem where each row corresponds to an individual estimate of the sensitivity for a given voxel. Multiple estimates come from the multiple bins of the spectrum with spectroscopy, multiple times with dynamic imaging, or multiple frequencies when utilizing spectral exci…

Moment Constrained Optimal Transport for Thermostatically Controlled Loads
Thomas Le Corre, Julien Cardinal, Ana Bu\v{s}i\'c
https://arxiv.org/abs/2508.20059 https://…

Moment Constrained Optimal Transport for Thermostatically Controlled Loads
Controlling large populations of thermostatically controlled loads (TCLs), such as water heaters, poses significant challenges due to the need to balance global constraints (e.g., grid stability) with individual requirements (e.g., physical limits and quality of service). In this work, we introduce a novel framework based on Moment Constrained Optimal Transport (MCOT) for distributed control of TCLs. By formulating the control problem as an optimal transport problem with moment constraints, our…

Correct-By-Construction: Certified Individual Fairness through Neural Network Training
Ruihan Zhang, Jun Sun
https://arxiv.org/abs/2508.15642 https://arxiv…

Correct-By-Construction: Certified Individual Fairness through Neural Network Training
Fairness in machine learning is more important than ever as ethical concerns continue to grow. Individual fairness demands that individuals differing only in sensitive attributes receive the same outcomes. However, commonly used machine learning algorithms often fail to achieve such fairness. To improve individual fairness, various training methods have been developed, such as incorporating fairness constraints as optimisation objectives. While these methods have demonstrated empirical effectiv…

Towards LLM-Enhanced Group Recommender Systems
Sebastian Lubos, Alexander Felfernig, Thi Ngoc Trang Tran, Viet-Man Le, Damian Garber, Manuel Henrich, Reinhard Willfort, Jeremias Fuchs
https://arxiv.org/abs/2507.19283

Towards LLM-Enhanced Group Recommender Systems
In contrast to single-user recommender systems, group recommender systems are designed to generate and explain recommendations for groups. This group-oriented setting introduces additional complexities, as several factors - absent in individual contexts - must be addressed. These include understanding group dynamics (e.g., social dependencies within the group), defining effective decision-making processes, ensuring that recommendations are suitable for all group members, and providing group-lev…

A Comprehensive Incremental and Ensemble Learning Approach for Forecasting Individual Electric Vehicle Charging Parameters
Parnian Alikhani, Nico Brinkel, Wouter Schram, Ioannis Lampropoulos, Wilfried van Sark
https://arxiv.org/abs/2508.17772

A Comprehensive Incremental and Ensemble Learning Approach for Forecasting Individual Electric Vehicle Charging Parameters
Electric vehicles (EVs) have the potential to reduce grid stress through smart charging strategies while simultaneously meeting user demand. This requires accurate forecasts of key charging parameters, such as energy demand and connection time. Although previous studies have made progress in this area, they have overlooked the importance of dynamic training to capture recent patterns and have excluded EV sessions with limited information, missing potential opportunities to use these data. To ad…

Particle Correlations in Jets
Wenbin Zhao, Volker Koch, Feng Yuan
https://arxiv.org/abs/2507.18790 https://arxiv.org/pdf/2507.18790

Particle Correlations in Jets
We study particle correlations in high energy jets by comparing the measured energy-energy correlator (EEC) with that constructed from two individual energy flows with respect to the jet axis. This comparison demonstrates that genuine correlations exists for small angle and moderate/large angle, indicating that they are coming from correlated splitting. This method will provide a unique tool to disentangle different physics, by comparing the genuine correlations in jet EEC between heavy ion col…

Next up: @…

Transiting Planetary Debris near the Roche Limit of a White Dwarf on a 4.97$\,$hr Orbit -- and its Vanishing
Joseph A. Guidry, Zachary P. Vanderbosch, J. J. Hermes, Dimitri Veras, Mark A. Hollands, Soumyadeep Bhattacharjee, Ilaria Caiazzo, Kareem El-Badry, Malia L. Kao, Lou Baya Ould Rouis, Antonio C. Rodriguez, Jan van Roestel
https://arx…

Transiting Planetary Debris near the Roche Limit of a White Dwarf on a 4.97$\,$hr Orbit -- and its Vanishing
We present the discovery of deep, irregular, periodic transits towards the white dwarf ZTF$\,$J1944$+$4557 using follow-up time-series photometry and spectroscopy from Palomar, Keck, McDonald, Perkins, and Lowell observatories. We find a predominant period of 4.9704$\,$hr, consistent with an orbit near the Roche limit of the white dwarf, with individual dips over 30$\%$ deep and lasting between 15 and 40 minutes. Similar to the first known white dwarf with transiting debris, WD$\,$1145$+$017, t…

Spontaneous recruitment of the person-knowledge network by familiar voices in the congenitally blind https://www.nature.com/articles/s41598-025-16840-6

Spontaneous recruitment of the person-knowledge network by familiar voices in the congenitally blind - Scientific Reports
Recognising a familiar individual involves the spontaneous retrieval of person-specific information, engaging a distributed cortical network for person knowledge. While the role of this system is well established for visual face perception, it remains unclear whether its recruitment depends on visual experience. Here, we investigated the neural basis of voice-identity processing in congenitally blind and sighted individuals using fMRI. Participants listened to personally familiar and unfamiliar…

Enriching Object-Centric Event Data with Process Scopes: A Framework for Aggregation and Analysis
Shahrzad Khayatbashi, Majid Rafiei, Jiayuan Chen, Timotheus Kampik, Gregor Berg, Amin Jalali
https://arxiv.org/abs/2508.18830

Enriching Object-Centric Event Data with Process Scopes: A Framework for Aggregation and Analysis
Object-Centric Process Mining enables the analysis of complex operational behavior by capturing interactions among multiple business objects (e.g., orders, items, deliveries). These interactions are recorded using Object-Centric Event Data (OCED) formats, such as the Object-Centric Event Log (OCEL). However, existing formats lack explicit definitions of process scopes, which restricts analysis to individual processes and limits insights to a low level of granularity. In practice, OCED often spa…

Cross-Learning Fine-Tuning Strategy for Dysarthric Speech Recognition Via CDSD database
Qing Xiao, Yingshan Peng, PeiPei Zhang
https://arxiv.org/abs/2508.18732 https://

Cross-Learning Fine-Tuning Strategy for Dysarthric Speech Recognition Via CDSD database
Dysarthric speech recognition faces challenges from severity variations and disparities relative to normal speech. Conventional approaches individually fine-tune ASR models pre-trained on normal speech per patient to prevent feature conflicts. Counter-intuitively, experiments reveal that multi-speaker fine-tuning (simultaneously on multiple dysarthric speakers) improves recognition of individual speech patterns. This strategy enhances generalization via broader pathological feature learning, mi…

Bias-Adjusted LLM Agents for Human-Like Decision-Making via Behavioral Economics
Ayato Kitadai, Yusuke Fukasawa, Nariaki Nishino
https://arxiv.org/abs/2508.18600 https://…

Bias-Adjusted LLM Agents for Human-Like Decision-Making via Behavioral Economics
Large language models (LLMs) are increasingly used to simulate human decision-making, but their intrinsic biases often diverge from real human behavior--limiting their ability to reflect population-level diversity. We address this challenge with a persona-based approach that leverages individual-level behavioral data from behavioral economics to adjust model biases. Applying this method to the ultimatum game--a standard but difficult benchmark for LLMs--we observe improved alignment between sim…

Infrastructure-enabled risk assessment of hazardous road conditions on rural roads during inclement weather
Suhala Rabab Saba, Ph. D. Student, Sagar Dasgupta, Ph. D., Mizanur Rahman, Ph. D., Nathan Huynh, Ph. D., Li Zhao, Ph. D, Mehmet C. Vuran, Ph. D., Qiang Liu, Ph. D., Eren Erman Ozguven, Ph. D
https://arxiv.org/abs/2508.19444

Infrastructure-enabled risk assessment of hazardous road conditions on rural roads during inclement weather
Rural roadways often expose Commercial Motor Vehicle (CMV) drivers to hazardous conditions, such as heavy fog, rain, snow, black ice, and flash floods, many of which remain unreported in real time. This lack of timely information, coupled with limited infrastructure in rural areas, significantly increases the risk of crashes. Although various sensing technologies exist to monitor individual hazards like low visibility or surface friction, they rarely assess the combined driving risk posed by mu…

@… I'll not estimate a percentage … I did – reluctantly – block an individual after he exhausted my patience once too often (not specific to pkgbase).

JWST reveals a supernova following a gamma-ray burst at z $\simeq$ 7.3
A. J. Levan, B. Schneider, E. Le Floc'h, G. Brammer, N. R. Tanvir, D. B. Malesani, A. Martin-Carrillo, A. Rossi, A. Saccardi, A. Sneppen, S. D. Vergani, J. An, J. -L. Atteia, F. E. Bauer, V. Buat, S. Campana, A. Chrimes, B. Cordier, L. Cotter, F. Daigne, V. D'Elia, M. De Pasquale, A. de Ugarte Postigo, G. Corcoran, R. A. J. Eyles-Ferris, H. Fausey, A. S. Fruchter, O. Godet, B. P. Gompertz, D. Gotz, N. Habeeb…

JWST reveals a supernova following a gamma-ray burst at z $\simeq$ 7.3
The majority of energetic long-duration gamma-ray bursts (GRBs) are thought to arise from the collapse of massive stars, making them powerful tracers of star formation across cosmic time. Evidence for this origin comes from the presence of supernovae in the aftermath of the GRB event, whose properties in turn link back to those of the collapsing star. In principle, with GRBs we can study the properties of individual stars in the distant universe. Here, we present JWST/NIRCAM observations that d…

Rigidity and mechanical response in biological structures
Kelly Aspinwall, Tyler Hain, M. Lisa Manning
https://arxiv.org/abs/2508.18432 https://arxiv.org/p…

Rigidity and mechanical response in biological structures
Rigidity is an emergent property of materials - it is not a feature of individual components that comprise the structure, but instead arises from interactions between many constituent parts. Recently, it has been recognized that floppy-rigid or fluid-solid transitions are harnessed by biological systems at all scales to drive form and function. This review focuses on the different mechanisms that can drive emergent rigidity transitions in biomechanical networks, and describes how they arise in …

Connecting The Hierarchically Merging Binary Black Hole Population To Their Host Galaxies
Jordan Moncrieff, Fiona Panther
https://arxiv.org/abs/2508.18704 https://

Connecting The Hierarchically Merging Binary Black Hole Population To Their Host Galaxies
The detection of gravitational waves from merging black holes with masses $\sim\,80-150\,\mathrm{M_\odot}$ suggests that some proportion of black hole binary systems form hierarchically in dense astrophysical environments, as most stellar evolution models cannot explain the origin of these massive black holes through isolated binary evolution. A significant fraction of such mergers could occur in Active Galactic Nuclei disks (AGN), however connecting individual black hole mergers to host galaxi…

InMind: Evaluating LLMs in Capturing and Applying Individual Human Reasoning Styles
Zizhen Li, Chuanhao Li, Yibin Wang, Qi Chen, Diping Song, Yukang Feng, Jianwen Sun, Jiaxin Ai, Fanrui Zhang, Mingzhu Sun, Kaipeng Zhang
https://arxiv.org/abs/2508.16072

InMind: Evaluating LLMs in Capturing and Applying Individual Human Reasoning Styles
LLMs have shown strong performance on human-centric reasoning tasks. While previous evaluations have explored whether LLMs can infer intentions or detect deception, they often overlook the individualized reasoning styles that influence how people interpret and act in social contexts. Social deduction games (SDGs) provide a natural testbed for evaluating individualized reasoning styles, where different players may adopt diverse but contextually valid reasoning strategies under identical conditio…

Emissive perovskite quantum wires in robust nanocontainers
Bea Botka, Erzs\'ebet Dodony, Ildik\'o Hars\'anyi, Michael Stratton, J\'anos M\'ozer, \'Eva Kov\'ats, Katalin Kamar\'as
https://arxiv.org/abs/2508.19833

Emissive perovskite quantum wires in robust nanocontainers
Light emissive nanostructures were prepared from boron nitride nanotubes (BNNTs) filled with inorganic lead halide perovskites. BNNTs provide a platform for facile synthesis of high aspect ratio perovskite quantum wires having color-tunable, highly polarized emission. BNNTs form a flexible and robust protective shell around individual nanowires, that mitigate degradation during post-processing for practical applications, while allowing to exploit the emission of the perovskite nanowires due to …

Here’s the key point: Trump’s corruption of justice isn’t just individual; it’s categorical. We have grown accustomed to him rewarding his loyalists and punishing his critics. That he fired the prosecutors who worked on his federal criminal cases while pardoning the Jan. 6 rioters represents a textbook case of individual favoritism.
The Trump administration’s abuse of the civil rights division is something else entirely. It had already initiated a “litigation freeze” on filing new civil rights cases, and it had indicated that it was even going to reconsider previous settlements and consent decrees intended to address police misconduct.
...
Civil rights laws are designed in part to protect innocent citizens — including, of course, innocent citizens from minority communities — from unjust government officials. Here, the legal world is turned upside down. The Justice Department is using its civil rights division to protect an unjust government official who violated the civil rights of an innocent individual.
#USPolitics
https://www.nytimes.com/2025/07/20/opinion/dillon-taylor-justice-trump.html?unlocked_article_code=1.X08.0DWy.hF58YNdciy3A&smid=url-share

Flexible estimation of skill formation models
Antonia Antweiler, Joachim Freyberger
https://arxiv.org/abs/2507.18995 https://arxiv.org/pdf/2507.18995

Flexible estimation of skill formation models
This paper examines estimation of skill formation models, a critical component in understanding human capital development and its effects on individual outcomes. Existing estimators are either based on moment conditions and only applicable in specific settings or rely on distributional approximations that often do not align with the model. Our method employs an iterative likelihood-based procedure, which flexibly estimates latent variable distributions and recursively incorporates model restric…

Structuring Collective Action with LLM-Guided Evolution: From Ill-Structured Problems to Executable Heuristics
Kevin Bradley Dsouza, Graham Alexander Watt, Yuri Leonenko, Juan Moreno-Cruz
https://arxiv.org/abs/2509.20412

Structuring Collective Action with LLM-Guided Evolution: From Ill-Structured Problems to Executable Heuristics
Collective action problems, which require aligning individual incentives with collective goals, are classic examples of Ill-Structured Problems (ISPs). For an individual agent, the causal links between local actions and global outcomes are unclear, stakeholder objectives often conflict, and no single, clear algorithm can bridge micro-level choices with macro-level welfare. We present ECHO-MIMIC, a computational framework that converts this global complexity into a tractable, Well-Structured Pro…

A Proof System with Causal Labels (Part I): checking Individual Fairness and Intersectionality
Leonardo Ceragioli, Giuseppe Primiero
https://arxiv.org/abs/2507.14650

A Proof System with Causal Labels (Part I): checking Individual Fairness and Intersectionality
In this article we propose an extension to the typed natural deduction calculus TNDPQ to model verification of individual fairness and intersectionality in probabilistic classifiers. Their interpretation is obtained by formulating specific conditions for the application of the structural rule of Weakening. Such restrictions are given by causal labels used to check for conditional independence between protected and target variables.

Non-normal Dynamics on Non-reciprocal Networks: Reactivity and Effective Dimensionality in Neural Circuits
Anna Poggialini, Serena Di Santo, Pablo Villegas, Andrea Gabrielli, Miguel A. Mu\~noz
https://arxiv.org/abs/2507.19127

Non-normal Dynamics on Non-reciprocal Networks: Reactivity and Effective Dimensionality in Neural Circuits
Non-reciprocal interactions are a defining feature of many complex systems, biological, ecological, and technological, often pushing them far from equilibrium and enabling rich dynamical responses. These asymmetries can arise at multiple levels: locally, in the dynamics of individual units, and globally, in the topology of their interactions. In this work, we investigate how these two forms of non-reciprocity interact in networks of neuronal populations. At the local level, each population is m…

Exploring the Interplay between Musical Preferences and Personality through the Lens of Language
Eliran Shem-Tov, Ella Rabinovich
https://arxiv.org/abs/2508.18208 https://

Exploring the Interplay between Musical Preferences and Personality through the Lens of Language
Music serves as a powerful reflection of individual identity, often aligning with deeper psychological traits. Prior research has established correlations between musical preferences and personality traits, while separate studies have demonstrated that personality is detectable through linguistic analysis. Our study bridges these two research domains by investigating whether individuals' musical preferences are recognizable in their spontaneous language through the lens of the Big Five personal…

Functional effects models: Accounting for preference heterogeneity in panel data with machine learning
Nicolas Salvad\'e, Tim Hillel
https://arxiv.org/abs/2509.18047 https:/…

Functional effects models: Accounting for preference heterogeneity in panel data with machine learning
In this paper, we present a general specification for Functional Effects Models, which use Machine Learning (ML) methodologies to learn individual-specific preference parameters from socio-demographic characteristics, therefore accounting for inter-individual heterogeneity in panel choice data. We identify three specific advantages of the Functional Effects Model over traditional fixed, and random/mixed effects models: (i) by mapping individual-specific effects as a function of socio-demographi…

Join the exclusive livestream of the talk with Meredith Whittaker, President of Signal, “The Individual in the Machine: Meredith Whittaker on Reclaiming Privacy in the Age of AI,” moderated by AlgorithmWatch executive director Matthias Spielkamp and Maria Exner.
Today, 25 September, at 6.30pm (CET) you can access the livestream via this link (which is only available to newsletter subscribers):

Probing the spatial distribution of k-vectors in situ with Bose-Einstein condensates
Samuel Gaudout, Rayan Si-Ahmed, Cl\'ement Debavelaere, Menno Door, Pierre Clad\'e, Sa\"ida Guellati-Khelifa
https://arxiv.org/abs/2507.19157 https://arxiv.org/pdf/2507.19157 https://arxiv.org/html/2507.19157
arXiv:2507.19157v1 Announce Type: new
Abstract: We present a novel method for mapping in situ the spatial distribution of photon momentum across a laser beam using a Bose-Einstein condensate (BEC) as a moving probe. By displacing the BEC, we measure the photon recoil by atom interferometry at different positions in the laser beam and thus reconstruct a two-dimensional map of the local intensity and effective dispersion of the $k$ wave vector. Applied to a beam diffracted by a diaphragm, this method reveals a local extra recoil effect, which exceeds the magnitude $h\nu/c$ of the individual plane-waves over which the beam can be decomposed. This method offers a new way to precisely characterize wavefront distortions and to evaluate one of the major systematic bias sources in quantum sensors based on atom interferometry.
toXiv_bot_toot

X-ray Emission Spectropolarimetry of Strongly Anisotropic Single Crystal Systems using a Rowland Circle Geometry
Jared E. Abramson, Charles A. Cardot, Josh J. Kas, John J. Rehr, Werner Kaminsky, Herwig Michor, Marta Roman, Petra Becker, Gerald T. Seidler
https://arxiv.org/abs/2507.18839

X-ray Emission Spectropolarimetry of Strongly Anisotropic Single Crystal Systems using a Rowland Circle Geometry
Polarization dependence has historically seen extensive use in x-ray spectroscopy to determine magnetic and local geometric properties, but more broadly as a way to gain extra sensitivity to electronic structure at the level of individual magnetic orbitals. This is often done in the context of x-ray absorption through techniques like x-ray magnetic circular dichroism or x-ray linear dichroism, but it has seen little application to x-ray emission. Here we explore the information contained in the…

C60 fullerene as an on-demand single photon source at room temperature
Raul Lahoz Sanz, Lidia Lozano Mart\'in, Adri\`a Br\'u i Cort\'es, Sergi Hern\'andez, Mart\'i Duocastella, Jos\'e M. G\'omez-Cama, Bruno Juli\'a-D\'iaz
https://arxiv.org/abs/2508.17824

C60 fullerene as an on-demand single photon source at room temperature
Single photon sources are fundamental for applications in quantum computing, secure communication, and sensing, as they enable the generation of individual photons and ensure strict control over photon number statistics. However, current single photon sources can be limited by a lack of robustness, difficulty of integration into existing optical or electronic devices, and high cost. In this study, we present the use of off-the-shelf \ch{C60} fullerene molecules embedded in polystyrene as room-t…

Another bullet dodged accidentally…
In this case, the real reason I didn’t recommend 1P for my employer was that I had experienced their enshittification process as an individual user and wasn’t sure how far they might go with a corporate customer.
(I also saw no need for an “enterprise” solution for us at that point and that turned out right.)

How much does SNAP Matter? SNAP's Effects on Food Security
Seungmin Lee
https://arxiv.org/abs/2508.19553 https://arxiv.org/pdf/2508.19553

How much does SNAP Matter? SNAP's Effects on Food Security
Supplemental Nutrition Assistance Program (SNAP) aims to improve food security of low-income households in the U.S. A new, continuous food security measure called the Probability of Food Security (PFS), which proxies for the official food security measure but is implementable on longer periods, enables the study of SNAP's effects on the intensive margin. Using variations in state-level SNAP administrative policies as an instrument for individual SNAP participation, I find that SNAP does not hav…

Of course this success only happens if the OP actually edits their post. The fact that people are willing to send out a public “I was wrong!” notification via an edit to correct says really good things about those people, and about this community.
Don’t miss that. This isn’t just a technology feature; it’s a social feature. Logic, user interface, individual behavior, and social norms are all deeply intertwined as one big system. We tech folks forget that too easily and too often.

Guyton progressing well, returns to limited Cowboys' practice https://www.dallascowboys.com/news/guyton-progressing-well-returns-to-limited-cowboys-practice

Gamification of Immersive Cervical Rehabilitation Exercises in VR: An Exploratory Study on Chin Tuck and Range of Motion Exercises
Haitham Abdelsalam, Chanelle Montpetit, Arash Harirpoush, Maryse Fortin, Yiming Xiao
https://arxiv.org/abs/2508.18580

Gamification of Immersive Cervical Rehabilitation Exercises in VR: An Exploratory Study on Chin Tuck and Range of Motion Exercises
Chronic neck pain is a prevalent condition that affects millions of individuals worldwide, causing significant individual suffering and socioeconomic burdens. Although exercise rehabilitation is a staple in relieving pain and improving muscle function for the condition, traditional one-on-one rehabilitation sessions are costly and suffer from poor adherence and accessibility for the patients. Thanks to the increasing accessibility and recent advancements in sensing and display technology, virtu…

Reliability Analysis of Fully Homomorphic Encryption Systems Under Memory Faults
Rian Adam Rajagede, Yan Solihin
https://arxiv.org/abs/2509.20686 https://a…

Reliability Analysis of Fully Homomorphic Encryption Systems Under Memory Faults
Fully Homomorphic Encryption (FHE) represents a paradigm shift in cryptography, enabling computation directly on encrypted data and unlocking privacy-critical computation. Despite being increasingly deployed in real platforms, the reliability aspects of FHE systems, especially how they respond to faults, have been mostly neglected. This paper aims to better understand of how FHE computation behaves in the presence of memory faults, both in terms of individual operations as well as at the level …

Beyond Individuals: Collective Predictive Coding for Memory, Attention, and the Emergence of Language
Tadahiro Taniguchi
https://arxiv.org/abs/2508.15859 https://

Beyond Individuals: Collective Predictive Coding for Memory, Attention, and the Emergence of Language
This commentary extends the discussion by Parr et al. on memory and attention beyond individual cognitive systems. From the perspective of the Collective Predictive Coding (CPC) hypothesis -- a framework for understanding these faculties and the emergence of language at the group level -- we introduce a hypothetical idea: that language, with its embedded distributional semantics, serves as a collectively formed external representation. CPC generalises the concepts of individual memory and atten…

Assessment of Personality Dimensions Across Situations Using Conversational Speech
Alice Zhang, Skanda Muralidhar, Daniel Gatica-Perez, Mathew Magimai-Doss
https://arxiv.org/abs/2507.19137

Assessment of Personality Dimensions Across Situations Using Conversational Speech
Prior research indicates that users prefer assistive technologies whose personalities align with their own. This has sparked interest in automatic personality perception (APP), which aims to predict an individual's perceived personality traits. Previous studies in APP have treated personalities as static traits, independent of context. However, perceived personalities can vary by context and situation as shown in psychological research. In this study, we investigate the relationship between con…

Non-vanishing of Poincar\'e Series on Average
Ned Carmichael, Noam Kimmel
https://arxiv.org/abs/2508.17242 https://arxiv.org/pdf/2508.17242

Non-vanishing of Poincaré Series on Average
We study when Poincaré series for congruence subgroups do not vanish identically. We show that almost all Poincaré series with suitable parameters do not vanish when either the weight $k$ or the index $m$ varies in a dyadic interval. Crucially, analyzing the problem `on average' over these weights or indices allows us to prove non-vanishing in ranges where the index $m$ is significantly larger than $k^2$ - a range in which proving non-vanishing for individual Poincaré series remains out of r…

Social influence on complex networks as a perturbation to individual behavior
Dhruv Mittal, Fl\'avio L. Pinheiro, V\'itor V. Vasconcelos
https://arxiv.org/abs/2509.17948

Social influence on complex networks as a perturbation to individual behavior
Cooperation is fundamental to the functioning of biological and social systems in both human and animal populations, with the structure of interactions playing a crucial role. Previous studies have used networks to describe interactions and explore the evolution of cooperation, but with limited transposability to social settings due to biologically relevant assumptions. Exogenous processes -- that affect the individual and are not derived from social interactions -- even if unbiased, have a rol…

Matching-Based Nonparametric Estimation of Group Average Treatment Effects
Peng Wu, Pengtao Zeng, Zhaoqing Tian, Shaojie Wei
https://arxiv.org/abs/2508.18157 https://

Matching-Based Nonparametric Estimation of Group Average Treatment Effects
Heterogeneous treatment effects, which vary according to individual covariates, are crucial in fields such as personalized medicine and tailored treatment strategies. In many applications, rather than considering the heterogeneity induced by all covariates, practitioners focus on a few key covariates to develop tailored treatment decisions. Based on this, we aim to estimate the group average treatment effects (GATEs), which represent heterogeneous treatment effects across subpopulations defined…

Tokyo-based Sakana AI details a new Monte Carlo tree search-based technique that lets multiple LLMs cooperate on a single task, outperforming individual models (Ben Dickson/VentureBeat)
https://venturebeat.com/ai/sakana-ais-

Sakana AI’s TreeQuest: Deploy multi-model teams that outperform individual LLMs by 30%
Sakana AI's new inference-time scaling technique uses Monte-Carlo Tree Search to orchestrate multiple LLMs to collaborate on complex tasks.

Ukrainian fencer Vlada Kharkova wins gold in 2025 World Championship: https://benborges.xyz/2025/07/24/ukrainian-fencer-vlada-kharkova-wins.html

Tree-SLAM: semantic object SLAM for efficient mapping of individual trees in orchards
David Rapado-Rincon, Gert Kootstra
https://arxiv.org/abs/2507.12093 h…

Tree-SLAM: semantic object SLAM for efficient mapping of individual trees in orchards
Accurate mapping of individual trees is an important component for precision agriculture in orchards, as it allows autonomous robots to perform tasks like targeted operations or individual tree monitoring. However, creating these maps is challenging because GPS signals are often unreliable under dense tree canopies. Furthermore, standard Simultaneous Localization and Mapping (SLAM) approaches struggle in orchards because the repetitive appearance of trees can confuse the system, leading to mapp…

A Multimodal-Multitask Framework with Cross-modal Relation and Hierarchical Interactive Attention for Semantic Comprehension
Mohammad Zia Ur Rehman, Devraj Raghuvanshi, Umang Jain, Shubhi Bansal, Nagendra Kumar
https://arxiv.org/abs/2508.16300

A Multimodal-Multitask Framework with Cross-modal Relation and Hierarchical Interactive Attention for Semantic Comprehension
A major challenge in multimodal learning is the presence of noise within individual modalities. This noise inherently affects the resulting multimodal representations, especially when these representations are obtained through explicit interactions between different modalities. Moreover, the multimodal fusion techniques while aiming to achieve a strong joint representation, can neglect valuable discriminative information within the individual modalities. To this end, we propose a Multimodal-Mul…

Dolphins' Jaylen Waddle looks to move past 2024 struggles: 'Definitely the year that I didn't want as an individual' https://www.nfl.com/news/dolphins-jaylen-waddle-looks-to-move-past-2024-str…

Diagonalising the LEFT
Sophie Renner, Benjamin Smith, Dave Sutherland
https://arxiv.org/abs/2507.18689 https://arxiv.org/pdf/2507.18689

Diagonalising the LEFT
We organise the four-fermion vector current interactions below the weak scale -- i.e., in the low energy effective field theory (LEFT) -- into irreps of definite parity and $SU(N)$ flavour symmetry. Their coefficients are thus arranged into small subsets with distinct phenomenology, which are significantly smaller than traditional groupings of operators by individual fermion number. As these small subsets only mix among themselves, we show that the renormalisation group evolution is soluble sem…

😳 Heat impairs teamwork more than individual performance, researchers find
#heat

Heat impairs teamwork more than individual performance, researchers find
As global temperatures rise, a new study from the University of California San Diego's School of Global Policy and Strategy reveals that even mild heat exposure can significantly hinder team performance, while leaving individual productivity largely unaffected.

Beyond Competitive Gaming: How Casual Players Evaluate and Respond to Teammate Performance
Kaushall Senthil Nathan, Jieun Lee, Derrick M. Wang, Geneva M. Smith, Eugene Kukshinov, Daniel Harley, Lennart E. Nacke
https://arxiv.org/abs/2508.19230

Beyond Competitive Gaming: How Casual Players Evaluate and Respond to Teammate Performance
Teammate performance evaluation fundamentally shapes intervention design in video games. However, our current understanding stems primarily from competitive E-Sports contexts where individual performance directly impacts outcomes. This research addresses whether performance evaluation mechanisms and behavioural responses identified in competitive games generalize to casual cooperative games. We investigated how casual players evaluate teammate competence and respond behaviourally in a controlle…

Fair Cooperation in Mixed-Motive Games via Conflict-Aware Gradient Adjustment
Woojun Kim, Katia Sycara
https://arxiv.org/abs/2508.17696 https://arxiv.org/p…

Fair Cooperation in Mixed-Motive Games via Conflict-Aware Gradient Adjustment
Multi-agent reinforcement learning in mixed-motive settings presents a fundamental challenge: agents must balance individual interests with collective goals, which are neither fully aligned nor strictly opposed. To address this, reward restructuring methods such as gifting and intrinsic motivation have been proposed. However, these approaches primarily focus on promoting cooperation by managing the trade-off between individual and collective returns, without explicitly addressing fairness with …

InMind: Evaluating LLMs in Capturing and Applying Individual Human Reasoning Styles
Zizhen Li, Chuanhao Li, Yibin Wang, Qi Chen, Diping Song, Yukang Feng, Jianwen Sun, Jiaxin Ai, Fanrui Zhang, Mingzhu Sun, Kaipeng Zhang
https://arxiv.org/abs/2508.16072

InMind: Evaluating LLMs in Capturing and Applying Individual Human Reasoning Styles
LLMs have shown strong performance on human-centric reasoning tasks. While previous evaluations have explored whether LLMs can infer intentions or detect deception, they often overlook the individualized reasoning styles that influence how people interpret and act in social contexts. Social deduction games (SDGs) provide a natural testbed for evaluating individualized reasoning styles, where different players may adopt diverse but contextually valid reasoning strategies under identical conditio…

How Quantization Shapes Bias in Large Language Models
Federico Marcuzzi, Xuefei Ning, Roy Schwartz, Iryna Gurevych
https://arxiv.org/abs/2508.18088 https://

How Quantization Shapes Bias in Large Language Models
This work presents a comprehensive evaluation of how quantization affects model bias, with particular attention to its impact on individual demographic subgroups. We focus on weight and activation quantization strategies and examine their effects across a broad range of bias types, including stereotypes, toxicity, sentiment, and fairness. We employ both probabilistic and generated text-based metrics across nine benchmarks and evaluate models varying in architecture family and reasoning ability.…

Quantum non-Gaussianity based on amplified photon statistics
\'Eva R\'acz, L\'aszl\'o Ruppert, Radim Filip
https://arxiv.org/abs/2509.20492 https://

Quantum non-Gaussianity based on amplified photon statistics
Amplification is an essential part of quantum processing and detection that allows for reducing subsequent loss and noise. However, the intensive amplification transfers individual discrete quanta to a detected continuous signal, so Fock probabilities of the unknown input state are not readily available. To solve this issue, we directly derive and analyze a quantum non-Gaussianity witness based on the photon number mean and variance (or alternatively, the second-order correlation $g^{(2)}$) of …

Rao Differential Privacy
Carlos Soto
https://arxiv.org/abs/2508.17135 https://arxiv.org/pdf/2508.17135

Rao Differential Privacy
Differential privacy (DP) has recently emerged as a definition of privacy to release private estimates. DP calibrates noise to be on the order of an individuals contribution. Due to the this calibration a private estimate obscures any individual while preserving the utility of the estimate. Since the original definition, many alternate definitions have been proposed. These alternates have been proposed for various reasons including improvements on composition results, relaxations, and formaliza…

A Mega-Study of Digital Twins Reveals Strengths, Weaknesses and Opportunities for Further Improvement
Tiany Peng, George Gui, Daniel J. Merlau, Grace Jiarui Fan, Malek Ben Sliman, Melanie Brucks, Eric J. Johnson, Vicki Morwitz, Abdullah Althenayyan, Silvia Bellezza, Dante Donati, Hortense Fong, Elizabeth Friedman, Ariana Guevara, Mohamed Hussein, Kinshuk Jerath, Bruce Kogut, Kristen Lane, Hannah Li, Patryk Perkowski, Oded Netzer, Olivier Toubia

PersoNo: Personalised Notification Urgency Classifier in Mixed Reality
Jingyao Zheng, Haodi Weng, Xian Wang, Chengbin Cui, Sven Mayer, Chi-lok Tai, Lik-Hang Lee
https://arxiv.org/abs/2508.19622

PersoNo: Personalised Notification Urgency Classifier in Mixed Reality
Mixed Reality (MR) is increasingly integrated into daily life, providing enhanced capabilities across various domains. However, users face growing notification streams that disrupt their immersive experience. We present PersoNo, a personalised notification urgency classifier for MR that intelligently classifies notifications based on individual user preferences. Through a user study (N=18), we created the first MR notification dataset containing both self-labelled and interaction-based data acr…

Bayesian inference for velocity-jump models for movement
Paul G. Blackwell
https://arxiv.org/abs/2509.21226 https://arxiv.org/pdf/2509.21226

Bayesian inference for velocity-jump models for movement
The velocity-jump model is a specific type of piecewise deterministic Markov process in which an individual's velocity is constant except at times that form the events of some point process. It represents an interpretable continuous-time version of the discrete-time `step and turn' models widely used in analysing wildlife telemetry. In this paper, I derive a reversible jump Markov chain Monte Carlo algorithm to carry out exact Bayesian inference for velocity-jump models by reconstructing the tr…

FCR: Investigating Generative AI models for Forensic Craniofacial Reconstruction
Ravi Shankar Prasad, Dinesh Singh
https://arxiv.org/abs/2508.18031 https://

FCR: Investigating Generative AI models for Forensic Craniofacial Reconstruction
Craniofacial reconstruction in forensics is one of the processes to identify victims of crime and natural disasters. Identifying an individual from their remains plays a crucial role when all other identification methods fail. Traditional methods for this task, such as clay-based craniofacial reconstruction, require expert domain knowledge and are a time-consuming process. At the same time, other probabilistic generative models like the statistical shape model or the Basel face model fail to ca…

From Individual Learning to Market Equilibrium: Correcting Structural and Parametric Biases in RL Simulations of Economic Models
Zeqiang Zhang, Ruxin Chen
https://arxiv.org/abs/2507.18229

From Individual Learning to Market Equilibrium: Correcting Structural and Parametric Biases in RL Simulations of Economic Models
The application of Reinforcement Learning (RL) to economic modeling reveals a fundamental conflict between the assumptions of equilibrium theory and the emergent behavior of learning agents. While canonical economic models assume atomistic agents act as `takers' of aggregate market conditions, a naive single-agent RL simulation incentivizes the agent to become a `manipulator' of its environment. This paper first demonstrates this discrepancy within a search-and-matching model with concave produ…

UAV Individual Identification via Distilled RF Fingerprints-Based LLM in ISAC Networks
Haolin Zheng, Ning Gao, Donghong Cai, Shi Jin, Michail Matthaiou
https://arxiv.org/abs/2508.12597

UAV Individual Identification via Distilled RF Fingerprints-Based LLM in ISAC Networks
Unmanned aerial vehicle (UAV) individual (ID) identification is a critical security surveillance strategy in low-altitude integrated sensing and communication (ISAC) networks. In this paper, we propose a novel dynamic knowledge distillation (KD)-enabled wireless radio frequency fingerprint large language model (RFF-LLM) framework for UAV ID identification. First, we propose an RFF-LLM framework based on the modified GPT-2 model to improve the identification accuracy in complex outdoor environme…

Chunked Data Shapley: A Scalable Dataset Quality Assessment for Machine Learning
Andreas Loizou, Dimitrios Tsoumakos
https://arxiv.org/abs/2508.16255 https://

Chunked Data Shapley: A Scalable Dataset Quality Assessment for Machine Learning
As the volume and diversity of available datasets continue to increase, assessing data quality has become crucial for reliable and efficient Machine Learning analytics. A modern, game-theoretic approach for evaluating data quality is the notion of Data Shapley which quantifies the value of individual data points within a dataset. State-of-the-art methods to scale the NP-hard Shapley computation also face severe challenges when applied to large-scale datasets, limiting their practical use. In th…

Heterogeneous Risk Management Using a Multi-Agent Framework for Supply Chain Disruption Response
Mingjie Bi, Juan-Alberto Estrada-Garcia, Dawn M. Tilbury, Siqian Shen, Kira Barton
https://arxiv.org/abs/2507.19049

Heterogeneous Risk Management Using a Multi-Agent Framework for Supply Chain Disruption Response
In the highly complex and stochastic global, supply chain environments, local enterprise agents seek distributed and dynamic strategies for agile responses to disruptions. Existing literature explores both centralized and distributed approaches, while most work neglects temporal dynamics and the heterogeneity of the risk management of individual agents. To address this gap, this letter presents a heterogeneous risk management mechanism to incorporate uncertainties and risk attitudes into agent …

Redzone or Individual Games? Packers Predictions | Dallas Cowboys 2025 https://www.youtube.com/watch?v=77jvV9G4KWo

DxHF: Providing High-Quality Human Feedback for LLM Alignment via Interactive Decomposition
Danqing Shi, Furui Cheng, Tino Weinkauf, Antti Oulasvirta, Mennatallah El-Assady
https://arxiv.org/abs/2507.18802

DxHF: Providing High-Quality Human Feedback for LLM Alignment via Interactive Decomposition
Human preferences are widely used to align large language models (LLMs) through methods such as reinforcement learning from human feedback (RLHF). However, the current user interfaces require annotators to compare text paragraphs, which is cognitively challenging when the texts are long or unfamiliar. This paper contributes by studying the decomposition principle as an approach to improving the quality of human feedback for LLM alignment. This approach breaks down the text into individual claim…

Decoherence-free interaction and maximally entangled state generation in double-giant-atom semi-infinite waveguide systems
Jie Liu, Yue Cai, Lei Tan
https://arxiv.org/abs/2508.17616

Decoherence-free interaction and maximally entangled state generation in double-giant-atom semi-infinite waveguide systems
Giant atoms are artificial atoms that can couple to a waveguide non-locally. Previous work has shown that two giant atoms in a braided configuration can interact through a one-dimensional infinite waveguide, with both individual and collective atomic relaxation being fully suppressed. In this paper, however, we show that the decoherence-free interaction (DFI) between two giant atoms can be realized in both braided and nested configurations when the waveguide is semi-infinite. This protected int…

On the sample complexity of semi-supervised multi-objective learning
Tobias Wegel, Geelon So, Junhyung Park, Fanny Yang
https://arxiv.org/abs/2508.17152 https://

On the sample complexity of semi-supervised multi-objective learning
In multi-objective learning (MOL), several possibly competing prediction tasks must be solved jointly by a single model. Achieving good trade-offs may require a model class $\mathcal{G}$ with larger capacity than what is necessary for solving the individual tasks. This, in turn, increases the statistical cost, as reflected in known MOL bounds that depend on the complexity of $\mathcal{G}$. We show that this cost is unavoidable for some losses, even in an idealized semi-supervised setting, where…

Do Students Learn Better Together? Teaching Design Patterns and the OSI Model with the Aronson Method
Daniel San Martin, Carlos Manzano, Valter Vieira de Camargo
https://arxiv.org/abs/2508.16770

Do Students Learn Better Together? Teaching Design Patterns and the OSI Model with the Aronson Method
Abstract concepts like software design patterns and the OSI model often pose challenges for engineering students, and traditional methods may fall short in promoting deep understanding and individual accountability. This study explores the use of the Aronson Jigsaw method to enhance learning and engagement in two foundational computing topics. The intervention was applied to two 2025 cohorts, with student progress measured using a Collaborative Learning Index derived from formative assessments.…

🪸 Scientists reveal the mechanism behind sea urchin twinning
#biology

Scientists reveal the mechanism behind sea urchin twinning
Researchers at University of Tsukuba examined how twin organisms can emerge from a single fertilized egg by studying sea urchin embryos. Their findings revealed that when an early-stage embryo is split in half, each portion is able to regenerate its own developmental plan. The team uncovered the dynamic cellular processes and genetic programs that allow each fragment to reorganize and grow into a complete individual.

DiffNator: Generating Structured Explanations of Time-Series Differences
Kota Dohi, Tomoya Nishida, Harsh Purohit, Takashi Endo, Yohei Kawaguchi
https://arxiv.org/abs/2509.20007

DiffNator: Generating Structured Explanations of Time-Series Differences
In many IoT applications, the central interest lies not in individual sensor signals but in their differences, yet interpreting such differences requires expert knowledge. We propose DiffNator, a framework for structured explanations of differences between two time series. We first design a JSON schema that captures the essential properties of such differences. Using the Time-series Observations of Real-world IoT (TORI) dataset, we generate paired sequences and train a model that combine a time…

Efficient Semiparametric Inference for Distributed Data with Blockwise Missingness
Jingyue Huang, Huiyuan Wang, Yuqing Lei, Yong Chen
https://arxiv.org/abs/2508.16902 https://…

Efficient Semiparametric Inference for Distributed Data with Blockwise Missingness
We consider statistical inference for a finite-dimensional parameter in a regular semiparametric model under a distributed setting with blockwise missingness, where entire blocks of variables are unavailable at certain sites and sharing individual-level data is not allowed. To improve efficiency of the internal study, we propose a class of augmented one-step estimators that incorporate information from external sites through ``transfer functions.'' The proposed approach has several advantages. …

The Micah Parsons Effect: How the Ex-Cowboy Is Transforming Packers' Defense https://www.foxsports.com/stories/nfl/micah-parsons-effect-how-ex-cowboy-transforming-packers-defense

From Individual to Multi-Agent Algorithmic Recourse: Minimizing the Welfare Gap via Capacitated Bipartite Matching
Zahra Khotanlou, Kate Larson, Amir-Hossein Karimi
https://arxiv.org/abs/2508.11070

From Individual to Multi-Agent Algorithmic Recourse: Minimizing the Welfare Gap via Capacitated Bipartite Matching
Decision makers are increasingly relying on machine learning in sensitive situations. In such settings, algorithmic recourse aims to provide individuals with actionable and minimally costly steps to reverse unfavorable AI-driven decisions. While existing research predominantly focuses on single-individual (i.e., seeker) and single-model (i.e., provider) scenarios, real-world applications often involve multiple interacting stakeholders. Optimizing outcomes for seekers under an individual welfare…

CafGa: Customizing Feature Attributions to Explain Language Models
Alan Boyle, Furui Cheng, Vil\'em Zouhar, Mennatallah El-Assady
https://arxiv.org/abs/2509.20901 https://…

CafGa: Customizing Feature Attributions to Explain Language Models
Feature attribution methods, such as SHAP and LIME, explain machine learning model predictions by quantifying the influence of each input component. When applying feature attributions to explain language models, a basic question is defining the interpretable components. Traditional feature attribution methods, commonly treat individual words as atomic units. This is highly computationally inefficient for long-form text and fails to capture semantic information that spans multiple words. To addr…

Can GenAI Move from Individual Use to Collaborative Work? Experiences, Challenges, and Opportunities of Integrating GenAI into Collaborative Newsroom Routines
Qing Xiao (Diane), Qing (Diane), Hu, Jingjia Xiao, Hancheng Cao, Hong Shen
https://arxiv.org/abs/2509.10950

Can GenAI Move from Individual Use to Collaborative Work? Experiences, Challenges, and Opportunities of Integrating GenAI into Collaborative Newsroom Routines
Generative AI (GenAI) is reshaping work, but adoption remains largely individual and experimental rather than integrated into collaborative routines. Whether GenAI can move from individual use to collaborative work is a critical question for future organizations. Journalism offers a compelling site to examine this shift: individual journalists have already been disrupted by GenAI tools; yet newswork is inherently collaborative relying on shared routines and coordinated workflows. We conducted 2…