Tootfinder

from my link log —
Beyond Markdown: difficulties of the Commonmark specification.
https://johnmacfarlane.net/beyond-markdown.html
saved 2025-08-05

"Star Wars: Beyond Victory" Test – Die perfekte Tech-Demo für Meta Quest 3
"Star Wars: Beyond Victory" bietet rasante Pod-Rennen, Action-Figuren und eine neue Geschichte – doch wie gut funktioniert der Wechsel zwischen VR und MR?

🇺🇦 #NowPlaying on KEXP's #SoundsOfSurvivance
Mahavishnu Orchestra:
🎵 Miles Beyond
#MahavishnuOrchestra
https://mahavishnujohnmclaughlin.bandcamp.com/track/miles-beyond-mahavishnu-orchestra
https://open.spotify.com/track/5I9gXWTR37SMqJsea5jhSM

Beyond Body
Join hosts Mia and Holly on a heartfelt journey through the world of mental health...
Great Australian Pods Podcast Directory: https://www.greataustralianpods.com/beyond-body-podcast/

Beyond endoscopy for $\mathsf{GL}_2$ over $\mathbb{Q}$ with ramification 3: contribution of the elliptic part
Yuhao Cheng
https://arxiv.org/abs/2508.07167 https://

Beyond endoscopy for $\mathsf{GL}_2$ over $\mathbb{Q}$ with ramification 3: contribution of the elliptic part
We continue to work on \emph{Beyond Endoscopy} for $\mathsf{GL}_2$ over $\mathbb{Q}$ with ramification at $S = \{\infty, q_1, \dots, q_r\}$ (where $2 \in S$), generalizing the final step of Altuğ's work in the unramified setting. We derive an explicit asymptotic formula for the elliptic part when summing over $n

ICMS 2026: Beyond the Blazon: Materializing Medieval Heraldry (A Roundtable) https://call-for-papers.sas.upenn.edu/cfp/2025/08/10/icms-2026-beyond-the-blazon-materializing-medieval-heraldry-a-roundtable

Locally Optimal Private Sampling: Beyond the Global Minimax
Hrad Ghoukasian, Bonwoo Lee, Shahab Asoodeh
https://arxiv.org/abs/2510.09485 https://arxiv.org/…

Locally Optimal Private Sampling: Beyond the Global Minimax
We study the problem of sampling from a distribution under local differential privacy (LDP). Given a private distribution $P \in \mathcal{P}$, the goal is to generate a single sample from a distribution that remains close to $P$ in $f$-divergence while satisfying the constraints of LDP. This task captures the fundamental challenge of producing realistic-looking data under strong privacy guarantees. While prior work by Park et al. (NeurIPS'24) focuses on global minimax-optimality across a class …

Beyond Surface Reasoning: Unveiling the True Long Chain-of-Thought Capacity of Diffusion Large Language Models
Qiguang Chen, Hanjing Li, Libo Qin, Dengyun Peng, Jinhao Liu, Jiangyi Wang, Chengyue Wu, Xie Chen, Yantao Du, Wanxiang Che
https://arxiv.org/abs/2510.09544

Beyond Surface Reasoning: Unveiling the True Long Chain-of-Thought Capacity of Diffusion Large Language Models
Recently, Diffusion Large Language Models (DLLMs) have offered high throughput and effective sequential reasoning, making them a competitive alternative to autoregressive LLMs (ALLMs). However, parallel decoding, which enables simultaneous token updates, conflicts with the causal order often required for rigorous reasoning. We first identify this conflict as the core Parallel-Sequential Contradiction (PSC). Behavioral analyses in both simple and complex reasoning tasks show that DLLMs exhibit g…

Robust Design of Beyond-Diagonal Reconfigurable Intelligent Surface Empowered RSMA-SWIPT System Under Channel Estimation Errors
Muhammad Asif, Zain Ali, Asim Ihsan, Ali Ranjha, Zhu Shoujin, Manzoor Ahmed, Xingwang Li, Symeon Chatzinotas
https://arxiv.org/abs/2508.08097

Robust Design of Beyond-Diagonal Reconfigurable Intelligent Surface Empowered RSMA-SWIPT System Under Channel Estimation Errors
This work explores the integration of rate-splitting multiple access (RSMA), simultaneous wireless information and power transfer (SWIPT), and beyond-diagonal reconfigurable intelligent surface (BD-RIS) to enhance the spectral-efficiency, energy-efficiency, coverage, and connectivity of future sixth-generation (6G) communication networks. Specifically, with a multiuser BD-RIS-empowered RSMA-SWIPT system, we jointly optimize the transmit precoding vectors, the common rate proportion of users, th…

Beyond the Carnot limit: work extraction via an entropy battery
Liam Judd McClelland
https://arxiv.org/abs/2510.08989 https://arxiv.org/pdf/2510.08989

Beyond the Carnot limit: work extraction via an entropy battery
We explore the consequences of generalized thermodynamics, as interpreted from the perspective of information theory, on an ensemble's capacity to extract energetic work. We demonstrate that by utilizing unitary heat engines of different kinds, we can capitalize on the full entropy capacity of the ensemble across multiple conserved quantities. This leads to the extraction of energetic work with efficiencies surpassing the standard Carnot efficiency limit, all the while running at maximum power.…

Beyond Tag Collision: Cluster-based Memory Management for Tag-based Sanitizers
Mengfei Xie, Yan Lin, Hongtao Wu, Jianming Fu, Chenke Luo, Guojun Peng
https://arxiv.org/abs/2509.09089

Beyond Tag Collision: Cluster-based Memory Management for Tag-based Sanitizers
Tag-based sanitizers attach a small "key" to each pointer and a matching "lock" tag to its target memory object, enabling runtime verification of pointer-object consistency and helping developers to detect potential memory violations. However, the limited tag encoding space challenges existing studies in assigning distinct tags to memory objects across temporal and spatial dimensions, leading to potential tag collisions. In this paper, we present ClusterTag, a novel cluster-based memory allocat…

Beyond Words: Infusing Conversational Agents with Human-like Typing Behaviors
Jijie Zhou, Yuhan Hu
https://arxiv.org/abs/2510.08912 https://arxiv.org/pdf/2…

Beyond Words: Infusing Conversational Agents with Human-like Typing Behaviors
Recently, large language models have facilitated the emergence of highly intelligent conversational AI capable of engaging in human-like dialogues. However, a notable distinction lies in the fact that these AI models predominantly generate responses rapidly, often producing extensive content without emulating the thoughtful process characteristic of human cognition and typing. This paper presents a design aimed at simulating human-like typing behaviors, including patterns such as hesitation and…

Power Spectrum, Bispectrum, 2- and 3-Point Correlation Function, and Beyond
Zachary Slepian, Farshad Kamalinejad, Alessandro Greco
https://arxiv.org/abs/2508.06762 https://

Power Spectrum, Bispectrum, 2- and 3-Point Correlation Function, and Beyond
N-Point Correlation Functions, usually with N = 2, 3, and their Fourier-space analogs power spectrum and bispectrum, are major tools used in cosmology to capture the clustering of large-scale structure. We outline how the clustering these functions capture emerges, explain that inflation produces a 2PCF or power spectrum but that subsequent evolution eventually produces a 3PCF or bispectrum, and beyond (and that inflation may do so as well at some level). Furthermore, in principle the Universe …

REfugEEs From Beyond – Etrange Constellation
#byncsa

Discrepancy Beyond Additive Functions with Applications to Fair Division
Alexandros Hollender, Pasin Manurangsi, Raghu Meka, Warut Suksompong
https://arxiv.org/abs/2509.09252 ht…

Discrepancy Beyond Additive Functions with Applications to Fair Division
We consider a setting where we have a ground set $M$ together with real-valued set functions $f_1, \dots, f_n$, and the goal is to partition $M$ into two sets $S_1,S_2$ such that $|f_i(S_1) - f_i(S_2)|$ is small for every $i$. Many results in discrepancy theory can be stated in this form with the functions $f_i$ being additive. In this work, we initiate the study of the unstructured case where $f_i$ is not assumed to be additive. We show that even without the additivity assumption, th…

Mastering Piano: Essential Techniques Beyond Five-Note Position https://pianodao.com/2025/05/26/beyond-five-note-hand-positions/?utm_source=dlvr.it&utm_content=muz4now%…

Mastering Piano: Essential Techniques Beyond Five-Note Position
These are the three most basic ways that we move beyond the five-note position at elementary level... 👇

Beyond CVEs: Mastering the Landscape with Vulnerability-Lookup is finally online.
The talk was given at @… conference.
#opensource #vulnerability

The origins and meaning of the tryzub, the Ukrainian coat of arms: https://benborges.xyz/2025/07/13/the-origins-and-meaning-of.html

Encountering the UK’s latest bright ideas on data and the Internet and left with nothing to say in response beyond the reflexive “Why are they like that‽”

"If you always put limits on everything you do, physical or anything else. It will spread into your work and into your life. There are no limits. There are only plateaus, and you must not stay there, you must go beyond them."
—Bruce Lee
#acting #coaching

At Dreamforce 2025, Salesforce unveils Agentforce 360, a unified agentic AI stack to connect humans, AI agents, and more, and positions Slack as an "agentic OS" (Larry Dignan/Constellation Research)
https://www.constellationr.com/blog-news/i

Salesforce makes its Agentforce 360 case to be your AI agent platform
Salesforce announced a series of product updates, a process intelligence acquisition and an Agentforce 360 architecture designed to make the case that it should orchestrate first and third party AI agents. At Dreamforce 2025, Salesforce looked to differentiate itself from what's becoming a crowded agentic AI platform space. The cloud giants are looking to go horizontal with stacks to build, deploy and optimize AI agents. SaaS vendors are expanding into managing AI agents beyond their verticals.…

I don’t know about you 
but my feelings oscillate between intense grief and boiling anger. 
I do not hide my pro-Palestinian sentiments. 
But this goes beyond one side or another. 
This is about our shared humanity. 
Does it still exist? Did it ever exist?
As citizens, our tools are limited. 
As meager as they sometimes appear, we still haveto utilize them. 
So, tell your congressperson to co-sponsor HR 3565
— The Block the Bombs Act
— atte…

'The damage is beyond repair': The CDC is facing another round of deep staff cuts (Brenda Goodman/CNN)
https://www.cnn.com/2025/10/11/health/cdc-cuts-impacts
http://www.memeorandum.com/251011/p76#a251011p76

Ah our poor widdle scared congress critters. Poor poor babies who work in 24x7x365 heavily guarded buildings with airport-grade (and beyond) access controls, have clouds of protective officers nearby, whose absence would be noted by staff and press, etc.
Yet, we normies who are being directly threatened by the President on down with arrest by mask agents, arrest, deportation to a death camp in another country, even death in the US are supposed to be accepting of these threats and risks…

'People are scared to death': Members of Congress fear for their safety after Charlie Kirk assassination
The assassination of conservative activist Charlie Kirk has members of Congress afraid for their own safety and canceling some political events.

Unbiased Insights: Optimal Streaming Algorithms for $\ell_p$ Sampling, the Forget Model, and Beyond
Honghao Lin, Hoai-An Nguyen, William Swartworth, David P. Woodruff
https://arxiv.org/abs/2508.07067

Unbiased Insights: Optimal Streaming Algorithms for $\ell_p$ Sampling, the Forget Model, and Beyond
We study $\ell_p$ sampling and frequency moment estimation in a single-pass insertion-only data stream. For $p \in (0,2)$, we present a nearly space-optimal approximate $\ell_p$ sampler that uses $\widetilde{O}(\log n \log(1/δ))$ bits of space and for $p = 2$, we present a sampler with space complexity $\widetilde{O}(\log^2 n \log(1/δ))$. This space complexity is optimal for $p \in (0, 2)$ and improves upon prior work by a $\log n$ factor. We further extend our construction to a continuous $\…

No matter how you identify, whether you are transgender, non-binary, intersex, queer, non-monogamous, or beyond any label, be true to yourself and embrace your identity with pride.
:heart_trans: 🏳️‍⚧️ :nonbinary_flag: :bisexual_pride: :genderfluid_flag: 🏳️‍🌈
What truly matters is coming from a place of kindness, respect, and openness. Celebrate your authentic self and extend that same warmth and welcome to others in all their beautiful diversity.

"Brazil Records 65 Percent Drop in Amazon Area Burned by Fire, Lowest Since Monitoring Began"
#Brazil #AmazonRainforest #Environment

Brazil Records 65 Percent Drop in Amazon Area Burned by Fire, Lowest Since Monitoring Began
The data also shows that across Brazil, both in the Amazon basin and beyond it, 54% fewer acres of landscape have been burned by fires. 

Fantasy Football 2025 Beyond the Boxscore Sleepers: Players to targets in Rounds 10, 11, 12, and beyond

https://www.cbssports.com/fantasy/football…

Beyond Round Robin: Evaluating Competitiveness in UEFA's New Champions League Format
Karel Devriesere, Dries Goossens, Frits Spieksma
https://arxiv.org/abs/2508.08290 https:…

Beyond Round Robin: Evaluating Competitiveness in UEFA's New Champions League Format
Recently, UEFA changed the group stage of its international soccer competitions to an incomplete round robin tournament. Previously, teams were divided into groups, each playing a double round robin tournament with a resulting ranking table. In contrast, the new format has all teams competing in one league, producing a single ranking. We investigate the effect of the new format on the expected number of noncompetitive matches in the UEFA Champions League. A match is noncompetitive if the prize …

Path to Intelligence: Measuring Similarity between Human Brain and Large Language Model Beyond Language Task
Doai Ngo, Mingxuan Sun, Zhengji Zhang, Ashwin G Ramayya, Mark Schnitzer, Zhe Zhao
https://arxiv.org/abs/2509.08831

Path to Intelligence: Measuring Similarity between Human Brain and Large Language Model Beyond Language Task
Large language models (LLMs) have demonstrated human-like abilities in language-based tasks. While language is a defining feature of human intelligence, it emerges from more fundamental neurophysical processes rather than constituting the basis of intelligence itself. In this work, we study the similarity between LLM internal states and human brain activity in a sensory-motor task rooted in anticipatory and visuospatial behavior. These abilities are essential for cognitive performance that cons…

Generalized Whittaker models beyond $\mathfrak{sl}_{2}$-triples
Gyujin Oh
https://arxiv.org/abs/2508.08523 https://arxiv.org/pdf/2508.08523

Generalized Whittaker models beyond $\mathfrak{sl}_{2}$-triples
We extend the notion of generalized Whittaker models by allowing them to be built upon smooth irreducible representations of unipotent subgroups of a $p$-adic reductive group that are not necessarily characters, nor induced from Weil representations. This notion generalizes the usual notion of generalized Whittaker models, which include the Bessel and Fourier--Jacobi models. Using Kirillov's orbit method for unipotent groups, we define and prove basic properties of the corresponding Jacquet fun…

New on blog: "How we incidentally uncovered a 7-year old bug in gentoo-ci"
"""
“Gentoo CI” is the service providing periodic linting for the Gentoo repository. It is a part of the Repository mirror and CI project that I’ve started in 2015. Of course, it all started as a temporary third-party solution, but it persisted, was integrated into Gentoo Infrastructure and grew organically into quite a monstrosity.
It’s imperfect in many ways. In particular, it has only some degree of error recovery and when things go wrong beyond that, it requires a manual fix. Often the “fix” is to stop mirroring a problematic repository. Over time, I’ve started having serious doubts about the project, and proposed sunsetting most of it.
Lately, things have been getting worse. What started as a minor change in behavior of Git triggered a whole cascade of failures, leading to me finally announcing the deadline for sunsetting the mirroring of third-party repositories, and starting ripping non-critical bits out of it. Interesting enough, this whole process led me to finally discover the root cause of most of these failures — a bug that has existed since the very early version of the code, but happened to be hidden by the hacky error recovery code. Here’s the story of it.
"""
#Gentoo

Beyond Distribution Shifts: Adaptive Hyperspectral Image Classification at Test Time
Xia Yue, Anfeng Liu, Ning Chen, Chenjia Huang, Hui Liu, Zhou Huang, Leyuan Fang
https://arxiv.org/abs/2509.08436

Beyond Distribution Shifts: Adaptive Hyperspectral Image Classification at Test Time
Hyperspectral image (HSI) classification models are highly sensitive to distribution shifts caused by various real-world degradations such as noise, blur, compression, and atmospheric effects. To address this challenge, we propose HyperTTA, a unified framework designed to enhance model robustness under diverse degradation conditions. Specifically, we first construct a multi-degradation hyperspectral dataset that systematically simulates nine representative types of degradations, providing a com…

Mid-infrared integrated resonators on a III-V platform with Q-factors beyond half a million
Luca Lucia, Gia Long Ngo, Mathilde Urbain, Konstantinos Pantzas, Gregoire Beaudoin, Stefano Pirotta, Jean-Michel Manceau, Isabelle Sagnes, Raffaele Colombelli, Adel Bousseksou
https://arxiv.org/abs/2508.08168

Mid-infrared integrated resonators on a III-V platform with Q-factors beyond half a million
We demonstrate mid-IR integrated race-track resonators on a III-V semiconductor platform,InGaAs core epitaxially grown on InP. We have performed a complete characterization of the optical propagation losses at wavelength = 4.6 um and wavelength = 8.5 um, two representative wavelengths for the 1st and 2nd atmospheric transparency windows. We measured losses of 1 dB/cm (TE polarization) and 1.3 dB/cm (TM polarization) at 8.5 um. Substantially lower losses, 0.28 dB/cm, were measured at wavelength …

Beyond Single-Granularity Prompts: A Multi-Scale Chain-of-Thought Prompt Learning for Graph
Ziyu Zheng, Yaming Yang, Ziyu Guan, Wei Zhao, Xinyan Huang, Weigang Lu
https://arxiv.org/abs/2510.09394

Beyond Single-Granularity Prompts: A Multi-Scale Chain-of-Thought Prompt Learning for Graph
The "pre-train, prompt'' paradigm, designed to bridge the gap between pre-training tasks and downstream objectives, has been extended from the NLP domain to the graph domain and has achieved remarkable progress. Current mainstream graph prompt-tuning methods modify input or output features using learnable prompt vectors. However, existing approaches are confined to single-granularity (e.g., node-level or subgraph-level) during prompt generation, overlooking the inherently multi-scale structural…

Holistic Explainable AI (H-XAI): Extending Transparency Beyond Developers in AI-Driven Decision Making
Kausik Lakkaraju, Siva Likitha Valluru, Biplav Srivastava
https://arxiv.org/abs/2508.05792

Holistic Explainable AI (H-XAI): Extending Transparency Beyond Developers in AI-Driven Decision Making
Current eXplainable AI (XAI) methods largely serve developers, often focusing on justifying model outputs rather than supporting diverse stakeholder needs. A recent shift toward Evaluative AI reframes explanation as a tool for hypothesis testing, but still focuses primarily on operational organizations. We introduce Holistic-XAI (H-XAI), a unified framework that integrates causal rating methods with traditional XAI methods to support explanation as an interactive, multi-method process. H-XAI al…

Another demonstration that we MUST differentiate between the ability to reproduce some kind of data and the ability to perform abstract reasoning.
So-called “artificial intelligence” tools are just stochastic parrots.
Beware the marketing hype.
https://

The trouble with Louis Armstrong's first movie is, well, there are two troubles, one is that it was widely considered dull, but beyond that while widely praised for the music, it is apparently missing.
I'm thinking, if anyone can find it, Fediverse can.
It did play Canada, including #Toronto in January 1931 and

Beyond Constant Parameters: Hyper Prediction Models and HyperMPC
Jan W\k{e}grzynowski, Piotr Kicki, Grzegorz Czechmanowski, Maciej Krupka, Krzysztof Walas
https://arxiv.org/abs/2508.06181

Beyond Constant Parameters: Hyper Prediction Models and HyperMPC
Model Predictive Control (MPC) is among the most widely adopted and reliable methods for robot control, relying critically on an accurate dynamics model. However, existing dynamics models used in the gradient-based MPC are limited by computational complexity and state representation. To address this limitation, we propose the Hyper Prediction Model (HyperPM) - a novel approach in which we project the unmodeled dynamics onto a time-dependent dynamics model. This time-dependency is captured throu…

Beyond the Binary: The System of All-round Evaluation of Research and Its Practices in China
Yu Zhu, Jiyuan Ye
https://arxiv.org/abs/2509.08546 https://arx…

Beyond the Binary: The System of All-round Evaluation of Research and Its Practices in China
The lack of a macro-level, systematic evaluation theory to guide the implementation of evaluation practices has become a key bottleneck in the reform of global research evaluation systems. By reviewing the historical development of research evaluation, this paper highlights the current binary opposition between qualitative and quantitative methods in evaluation practices. This paper introduces the System of All-round Evaluation of Research (SAER), a framework that integrates form, content, and …

#WritersCoffeeClub 10 Aug
How much of your world-building extends beyond what's shown in the text?
I don't know much about the cities on the northern coast of the continent, beyond what they import or export. I don't know how many there are, or what their political systems and religions are. I suspect that there are in fact other continents, but the people on '…

Big cats: entanglement in 120 qubits and beyond
Ali Javadi-Abhari, Simon Martiel, Alireza Seif, Maika Takita, Ken X. Wei
https://arxiv.org/abs/2510.09520 https://

Big cats: entanglement in 120 qubits and beyond
Entanglement is the quintessential quantum phenomenon and a key enabler of quantum algorithms. The ability to faithfully entangle many distinct particles is often used as a benchmark for the quality of hardware and control in a quantum computer. Greenberger-Horne-Zeilinger (GHZ) states, also known as Schrödinger cat states, are useful for this task. They are easy to verify, but difficult to prepare due to their high sensitivity to noise. In this Letter we report on the largest GHZ state prepar…

Beyond Predictions: A Study of AI Strength and Weakness Transparency Communication on Human-AI Collaboration
Tina Behzad, Nikolos Gurney, Ning Wang, David V. Pynadath
https://arxiv.org/abs/2508.09033

Beyond Predictions: A Study of AI Strength and Weakness Transparency Communication on Human-AI Collaboration
The promise of human-AI teaming lies in humans and AI working together to achieve performance levels neither could accomplish alone. Effective communication between AI and humans is crucial for teamwork, enabling users to efficiently benefit from AI assistance. This paper investigates how AI communication impacts human-AI team performance. We examine AI explanations that convey an awareness of its strengths and limitations. To achieve this, we train a decision tree on the model's mistakes, allo…

Beyond-the-Standard-Model Physics in the Neutrino Sector
Kevin J. Kelly
https://arxiv.org/abs/2510.08437 https://arxiv.org/pdf/2510.08437

Beyond-the-Standard-Model Physics in the Neutrino Sector
Neutrino oscillations are a phenomenon that has been observed for over two decades and leads to the conclusion that neutrinos have mass. The Standard Model predicts massless neutrinos, and so neutrinos require physics beyond the Standard Model. Other signatures of BSM physics are detectable in modern neutrino facilities -- this chapter explores those possibilities. These can range from new effects modifying neutrino oscillations (beyond the expectations when neutrinos have mass), to searches fo…

Learning geometries beyond asymptotic AdS
Cheng Ran, Shao-Feng Wu, Zhuo-Yu Xian
https://arxiv.org/abs/2508.05808 https://arxiv.org/pdf/2508.05808

Learning geometries beyond asymptotic AdS
We present a data-driven method for holographic bulk reconstruction that works even when the spacetime is not asymptotically AdS. Given the data of boundary Green functions within a finite frequency window, we iteratively adjust a bulk metric with a finite radial cutoff until its holographic Green functions reproduce the boundary data. Based on the holographic Wilsonian renormalization group for the Klein-Gordon equation in an undetermined curve space, we construct a radial flow equation and tr…

Beyond Single Labels: Improving Conversational Recommendation through LLM-Powered Data Augmentation
Haozhe Xu, Xiaohua Wang, Changze Lv, Xiaoqing Zheng
https://arxiv.org/abs/2508.05657

Beyond Single Labels: Improving Conversational Recommendation through LLM-Powered Data Augmentation
Conversational recommender systems (CRSs) enhance recommendation quality by engaging users in multi-turn dialogues, capturing nuanced preferences through natural language interactions. However, these systems often face the false negative issue, where items that a user might like are incorrectly labeled as negative during training, leading to suboptimal recommendations.Expanding the label set through data augmentation presents an intuitive solution but faces the challenge of balancing two key as…

Rail service is in Canada is beyond half-ass. When booking a ticket between Toronto and Montreal - the country's two largest cities, their urban areas representing something like a third of Canada's population - you learn that, "We are currently experiencing delays of 15-45 minutes on certain Corridor trains due to unexpected speed restrictions imposed by CN, the railway infrastructure owner." It's almost as if government after government after government couldn't b…

Across the US, lawmakers and interest groups are stepping up efforts to shield Israel from accountability for war crimes, occupation, and apartheid.
They are doing so by restricting Palestine solidarity advocates’ First Amendment rights to free speech and political boycotts.
In June 2022, the Eighth Circuit Court of Appeals ruled to uphold an Arkansas law punishing state contractors who boycott Israel.
Since 2014, dozens of states have adopted similar laws designed to puni…

Decentralized Online Riemannian Optimization Beyond Hadamard Manifolds
Emre Sahinoglu, Shahin Shahrampour
https://arxiv.org/abs/2509.07779 https://arxiv.or…

Decentralized Online Riemannian Optimization Beyond Hadamard Manifolds
We study decentralized online Riemannian optimization over manifolds with possibly positive curvature, going beyond the Hadamard manifold setting. Decentralized optimization techniques rely on a consensus step that is well understood in Euclidean spaces because of their linearity. However, in positively curved Riemannian spaces, a main technical challenge is that geodesic distances may not induce a globally convex structure. In this work, we first analyze a curvature-aware Riemannian consensus …

Beyond Diagonal IRS Aided OFDM: Rate Maximization under Frequency-Dependent Reflection
Ye Yuan, Shuowen Zhang
https://arxiv.org/abs/2509.06378 https://arxi…

Beyond Diagonal IRS Aided OFDM: Rate Maximization under Frequency-Dependent Reflection
This paper studies a broadband orthogonal frequency division multiplexing (OFDM) system aided by a beyond diagonal intelligent reflecting surface (BD-IRS), where inter-connections exist among different elements such that the reflection matrix can exhibit a beyond diagonal structure. Under practical circuit structures, the reflection matrix of the BD-IRS is generally dependent on the circuit parameters (e.g., capacitance matrix for all tunable capacitors) as well as the operating frequency, whic…

Nostalgie Pur: Neues "Star Wars"-Spiel bringt digitale Spielsets auf die Quest 3
"Star Wars: Beyond Victory" bietet auf der Meta Quest 3 eine neue Geschichte, digitale Actionfiguren und Diorama-Welten samt holografischer Rennstrecken.

Future launches a Tom's Hardware premium membership for £51 per year, as the UK publisher aims to diversify its revenue beyond ads and e-commerce (Charlotte Tobitt/Press Gazette)
https://pressgazette.co.uk/paywalls/future-launches-premium-co…

Future expands paid online content offering with Tom's Hardware launch
Future plc is testing a premium model on tech brand Tom's Hardware in a significant expansion of its online paid content efforts.

CSI Compression Beyond Latents: End-to-End Hybrid Attention-CNN Networks with Entropy Regularization
Maryam Ansarifard, Mostafa Rahmani, Mohit K. Sharma, Kishor C. Joshi, George Exarchakos, Alister Burr
https://arxiv.org/abs/2509.08776

CSI Compression Beyond Latents: End-to-End Hybrid Attention-CNN Networks with Entropy Regularization
Massive MIMO systems rely on accurate Channel State Information (CSI) feedback to enable high-gain beam- forming. However, the feedback overhead scales linearly with the number of antennas, presenting a major bottleneck. While recent deep learning methods have improved CSI compres- sion, most overlook the impact of quantization and entropy coding, limiting their practical deployability. In this work, we propose an end-to-end CSI compression framework that inte- grates a Spatial Correlation-Guid…

Self-adjoint realizations of higher-order squeezing operators
Felix Fischer, Daniel Burgarth, Davide Lonigro
https://arxiv.org/abs/2508.09044 https://arxiv…

Self-adjoint realizations of higher-order squeezing operators
Higher-order squeezing captures non-Gaussian features of quantum light by probing moments of the field beyond the variance, and is associated with operators involving nonlinear combinations of creation and annihilation operators. Here we study a class of operators of the form $(a^†)^ka^l+(a^†)^la^k+f(a^†a)$, which arise naturally in the analysis of higher-order quantum fluctuations. The operators are defined on the linear span of Fock states. We show that the essential self-adjointness of…

Incorporating AI Incident Reporting into Telecommunications Law and Policy: Insights from India
Avinash Agarwal, Manisha J. Nene
https://arxiv.org/abs/2509.09508 https://…

Incorporating AI Incident Reporting into Telecommunications Law and Policy: Insights from India
The integration of artificial intelligence (AI) into telecommunications infrastructure introduces novel risks, such as algorithmic bias and unpredictable system behavior, that fall outside the scope of traditional cybersecurity and data protection frameworks. This paper introduces a precise definition and a detailed typology of telecommunications AI incidents, establishing them as a distinct category of risk that extends beyond conventional cybersecurity and data protection breaches. It argues …

We just got back from a staged reading of “Mary’s Wedding” by Stephen Massicotte.
Wow!!! It was intense. Just two actors, no props, no sets beyond four music stands.
It is a Canadian play, apparently far more popular in Canada than in the US. (Which makes sense because it is about WW-I, an event into which Canada was more involved than the US.)
Santa Cruz Shakespeare has a reading or similar pay-what-you-will event every Tuesday in August. Well worth it!!!

Yesterday, these lovely cards with artwork by @… arrived. Today, I wrote a sweet note to my spouse in one. She loved it and put it in a place of honor.
#art #beauty

Probing gravity beyond general relativity with bispectrum multipoles of cosmological tracers: I. Theoretical Foundations
Sukhdeep Singh Gill
https://arxiv.org/abs/2508.07990 htt…

Probing gravity beyond general relativity with bispectrum multipoles of cosmological tracers: I. Theoretical Foundations
The bispectrum, being sensitive to non-Gaussianity and mode coupling of cosmological fields induced by non-linear gravitational evolution, serves as a powerful probe for detecting deviations from General Relativity (GR). The signatures of modified gravity in the bispectrum are even more pronounced in redshift space, where anisotropies from peculiar velocities provide unbiased information on higher-order properties of gravity. We investigate the potential of all non-zero angular multipoles $B_l^…

Role of CME clusters and CME-CME interactions in producing sustained $\gamma$-ray emission
Atul Mohan, Pertti Makela, Natchimuthuk Gopalswamy, Sachicko Akiyama, Seiji Yashiro
https://arxiv.org/abs/2508.06699

Role of CME clusters and CME-CME interactions in producing sustained $γ$-ray emission
Fast (V$_{\rm CME}$>1000${\rm \,km\,s^{-1}}$) coronal mass ejections (CMEs) capable of accelerating protons beyond 300MeV are thought to trigger hours-long sustained $γ$-ray emission (SGRE) after the impulsive flare phase. Meanwhile, CME-CME interactions can cause enhanced proton acceleration, increasing the fluxes of solar energetic particles. This study explores the role of fast CME interactions in SGRE production during CME clusters, which we define as a series of CMEs linked to >C-class fl…

Topological Defect Formation Beyond the Kibble-Zurek Mechanism in Crossover Transitions with Approximate Symmetries
Peng Yang, Chuan-Yin Xia, Sebastian Grieninger, Hua-Bi Zeng, Matteo Baggioli
https://arxiv.org/abs/2508.05964

Topological Defect Formation Beyond the Kibble-Zurek Mechanism in Crossover Transitions with Approximate Symmetries
The formation of topological defects during continuous second-order phase transitions is well described by the Kibble-Zurek mechanism (KZM). However, when the spontaneously broken symmetry is only approximate, such transitions become smooth crossovers, and the applicability of KZM in these scenarios remains an open question. In this work, we address this problem by analyzing both a weakly coupled Ginzburg-Landau model and a strongly coupled holographic setup, each featuring pseudo-spontaneous b…

Sources: when Trump criticized Lip-Bu Tan in August, Satya Nadella, Jensen Huang, Michael Dell, and others spoke to Trump or his aides to vouch for Tan (Semafor)
https://www.semafor.com/article/10/07/2025/at-intel-and-beyond-ce…

At Intel and beyond, CEOs find success going direct
A group of the US’ most powerful business leaders have managed to sway the president on everything from Intel to Harvard.

For those fretting about Microsoft's inevitable further enshittification of the already shit Github, I can report (having ditched it the day Microsoft announced its acquisition) that Forgejo (#libre

Beyond papers: understanding the making of citizenship in the Foreigners’ Tribunals of Assam
https://ift.tt/MUuYoG8
Fariya Yesmin's new article Beyond papers: understanding the making of citizenship in the…
via Input 4 RELCFP

Beyond papers: understanding the making of citizenship in the Foreigners’ Tribunals of Assam
Fariya Yesmin's new article Beyond papers: understanding the making of citizenship in the Foreigners’ Tribunals of Assam has been published by Contemporary South Asia. You can download the full article here. AbstractThis paper questions the hyper fixation on papers in producing citizens or proving citizenship, arguing that not papers but the agglomeration of legal, bureaucratic and social processes produce citizenship in Assam’s Foreigners’ Tribunals (FTs). Based on ethnographic fieldwork…

from my link log —
Beyond booleans in Lean.
https://overreacted.io/beyond-booleans/
saved 2025-08-17 https://dotat…

Beyond Booleans — overreacted
What is the type of 2 + 2 = 4?

Boosting Multi-modal Keyphrase Prediction with Dynamic Chain-of-Thought in Vision-Language Models
Qihang Ma, Shengyu Li, Jie Tang, Dingkang Yang, Shaodong Chen, Yingyi Zhang, Chao Feng, Jiao Ran
https://arxiv.org/abs/2510.09358

Boosting Multi-modal Keyphrase Prediction with Dynamic Chain-of-Thought in Vision-Language Models
Multi-modal keyphrase prediction (MMKP) aims to advance beyond text-only methods by incorporating multiple modalities of input information to produce a set of conclusive phrases. Traditional multi-modal approaches have been proven to have significant limitations in handling the challenging absence and unseen scenarios. Additionally, we identify shortcomings in existing benchmarks that overestimate model capability due to significant overlap in training tests. In this work, we propose leveraging…

Packers fans chant 'Thank you, Jerry,' as Micah Parsons delivers again https://www.nytimes.com/athletic/6623257/2025/09/12/cowboys-packers-micah-parsons-chants-jerry-jones/

Multimodal Prompt Optimization: Why Not Leverage Multiple Modalities for MLLMs
Yumin Choi, Dongki Kim, Jinheon Baek, Sung Ju Hwang
https://arxiv.org/abs/2510.09201 https://

Multimodal Prompt Optimization: Why Not Leverage Multiple Modalities for MLLMs
Large Language Models (LLMs) have shown remarkable success, and their multimodal expansions (MLLMs) further unlock capabilities spanning images, videos, and other modalities beyond text. However, despite this shift, prompt optimization approaches, designed to reduce the burden of manual prompt crafting while maximizing performance, remain confined to text, ultimately limiting the full potential of MLLMs. Motivated by this gap, we introduce the new problem of multimodal prompt optimization, whic…

Replaced article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[4/4]:
- Beyond the Pre-Service Horizon: Infusing In-Service Behavior for Improved Financial Risk Forecasting
Senhao Liu, Zhiyu Guo, Zhiyuan Ji, Yueguo Chen, Yateng Tang, Yunhai Wang, Xuehao Zheng, Xiang Ao

End-to-End Humanoid Robot Safe and Comfortable Locomotion Policy
Zifan Wang, Xun Yang, Jianzhuang Zhao, Jiaming Zhou, Teli Ma, Ziyao Gao, Arash Ajoudani, Junwei Liang
https://arxiv.org/abs/2508.07611

End-to-End Humanoid Robot Safe and Comfortable Locomotion Policy
The deployment of humanoid robots in unstructured, human-centric environments requires navigation capabilities that extend beyond simple locomotion to include robust perception, provable safety, and socially aware behavior. Current reinforcement learning approaches are often limited by blind controllers that lack environmental awareness or by vision-based systems that fail to perceive complex 3D obstacles. In this work, we present an end-to-end locomotion policy that directly maps raw, spatio-t…

Parity of the partition function in quadratic progressions
Ken Ono
https://arxiv.org/abs/2509.09553 https://arxiv.org/pdf/2509.09553

Parity of the partition function in quadratic progressions
The parity of the partition function $p(n)$ remains strikingly mysterious. Beyond a handful of fragmentary results, essentially nothing is known about the distribution of parity. We prove a uniform result on quadratic progressions. If $1

Beyond Uniform Criteria: Scenario-Adaptive Multi-Dimensional Jailbreak Evaluation
Lai Jiang, Yuekang Li, Xiaohan Zhang, Youtao Ding, Li Pan
https://arxiv.org/abs/2508.06194 http…

Beyond Uniform Criteria: Scenario-Adaptive Multi-Dimensional Jailbreak Evaluation
Precise jailbreak evaluation is vital for LLM red teaming and jailbreak research. Current approaches employ binary classification ( e.g., string matching, toxic text classifiers, LLM-driven methods), yielding only "yes/no" labels without quantifying harm intensity. Existing multi-dimensional frameworks ( e.g., Security Violation, Relative Truthfulness, Informativeness) apply uniform evaluation criteria across scenarios, resulting in scenario-specific mismatches--for instance, "Relative Truthful…

SoftBank Group consolidates 13 robotics-related companies from its main group and 7 from Vision Fund 2 into a new holding company called SoftBank Robotics Group (Nikkei Asia)
https://asia.nikkei.com/business/softbank/beyond-pepper-softba…

Beyond Pepper: SoftBank charts new course in robotics with AI
Group puts robot investments under one holding company to coordinate strategy

Generalized Bicycle Codes with Low Connectivity: Minimum Distance Bounds and Hook Errors
Reza Dastbasteh, Olatz Sanz Larrarte, Arun John Moncy, Pedro M. Crespo, Josu Etxezarreta Martinez, Ruben M. Otxoa
https://arxiv.org/abs/2508.09082

Generalized Bicycle Codes with Low Connectivity: Minimum Distance Bounds and Hook Errors
We present new upper and lower bounds on the minimum distance of certain generalized bicycle (GB) codes beyond the reach of techniques for classical codes capable of even capturing the true minimum distance for some cases. These bounds are then applied to illustrate the existence and analyze two highly degenerate GB code families with parameters $[[d^2+1,2,d]]$ for odd $d \geq 3$ and $[[d^2,2,d]]$ for even $d \geq 4$, both having the property that each check qubit is connected to exactly four d…

On Lagrangian formulations for (ir)reducible mixed-antisymmetric higher integer spin fields in Minkowski spaces
Alexander A. Reshetnyak, Julia V. Bogdanova, Vipul K. Pandey
https://arxiv.org/abs/2509.09490

On Lagrangian formulations for (ir)reducible mixed-antisymmetric higher integer spin fields in Minkowski spaces
We extend the results of Lagrangian formulations study to construct gauge-invariant Lagrangians for (ir)reducible integer higher-spin massless and massive representations of the Poincare group with a Young tableau $Y[\hat{s}_1,\hat{s}_2,\hat{s}_3]$ in $d$-dimensional flat space-time (as the probable candidates to describe the Dark Matter problem beyond the SM). These particles are described within a metric-like formulation by tensor fields with 3 groups of antisymmetric Lorentz indices $Φ_{μ^…

Bills defensive tackle Oliver out against Jets https://www.espn.com/nfl/story/_/id/46234424/bills-defensive-tackle-ed-oliver-jets

RefGrader: Automated Grading of Mathematical Competition Proofs using Agentic Workflows
Hamed Mahdavi (Pennsylvania State University), Pouria Mahdavinia (Pennsylvania State University), Samira Malek (Pennsylvania State University), Pegah Mohammadipour (Pennsylvania State University), Alireza Hashemi (City University of New York), Majid Daliri (New York University), Alireza Farhadi (Amirkabir University of Technology), Amir Khasahmadi (Autodesk), Niloofar Mireshghallah (Carnegie Mellon …

RefGrader: Automated Grading of Mathematical Competition Proofs using Agentic Workflows
State-of-the-art (SOTA) LLMs have progressed from struggling on proof-based Olympiad problems to solving most of the IMO 2025 problems, with leading systems reportedly handling 5 of 6 problems. Given this progress, we assess how well these models can grade proofs: detecting errors, judging their severity, and assigning fair scores beyond binary correctness. We study proof-analysis capabilities using a corpus of 90 Gemini 2.5 Pro-generated solutions that we grade on a 1-4 scale with detailed err…

FM-IRL: Flow-Matching for Reward Modeling and Policy Regularization in Reinforcement Learning
Zhenglin Wan, Jingxuan Wu, Xingrui Yu, Chubin Zhang, Mingcong Lei, Bo An, Ivor Tsang
https://arxiv.org/abs/2510.09222

FM-IRL: Flow-Matching for Reward Modeling and Policy Regularization in Reinforcement Learning
Flow Matching (FM) has shown remarkable ability in modeling complex distributions and achieves strong performance in offline imitation learning for cloning expert behaviors. However, despite its behavioral cloning expressiveness, FM-based policies are inherently limited by their lack of environmental interaction and exploration. This leads to poor generalization in unseen scenarios beyond the expert demonstrations, underscoring the necessity of online interaction with environment. Unfortunately…

Fast and efficient long-distance quantum state transfer in long-range spin-$\frac{1}{2}$ models
F. Faria, C. C. Nelmes, T. J. G. Apollaro, T. P. Spiller, I. D'Amico
https://arxiv.org/abs/2508.08182

Fast and efficient long-distance quantum state transfer in long-range spin-$\frac{1}{2}$ models
Quantum state transfer is investigated beyond the nearest-neighbour coupling scheme in long spin-$\frac{1}{2}$ linear chains. Exploiting the properties of the next-nearest neighbour Hamiltonian's dispersion relation, it is shown that with minimal engineering, i.e., an on-site magnetic field on the two end sites and only a few symmetrically-modified end inter-site couplings, an average transfer fidelity above $99\%$ can be achieved. To leading order, the required time scales linearly with the le…

Rational Inverse Reasoning
Ben Zandonati, Tom\'as Lozano-P\'erez, Leslie Pack Kaelbling
https://arxiv.org/abs/2508.08983 https://arxiv.org/pdf/2508…

Rational Inverse Reasoning
Humans can observe a single, imperfect demonstration and immediately generalize to very different problem settings. Robots, in contrast, often require hundreds of examples and still struggle to generalize beyond the training conditions. We argue that this limitation arises from the inability to recover the latent explanations that underpin intelligent behavior, and that these explanations can take the form of structured programs consisting of high-level goals, sub-task decomposition, and execut…

Quantifying Visualization Vibes: Measuring Socio-Indexicality at Scale
Amy Rae Fox, Michelle Morgenstern, Graham M. Jones, Arvind Satyanarayan
https://arxiv.org/abs/2508.06786 h…

Quantifying Visualization Vibes: Measuring Socio-Indexicality at Scale
What impressions might readers form with visualizations that go beyond the data they encode? In this paper, we build on recent work that demonstrates the socio-indexical function of visualization, showing that visualizations communicate more than the data they explicitly encode. Bridging this with prior work examining public discourse about visualizations, we contribute an analytic framework for describing inferences about an artifact's social provenance. Via a series of attribution-elicitation…

Call for Papers: Religion in Jack Kirby’s Fourth World and Beyond
https://ift.tt/FqBczvt
Religion in Jack Kirby’s Fourth World and Beyond Editor: Matthew Brake Jack Kirby needs no…
via Input 4 RELCFP

Call for Papers: Religion in Jack Kirby’s Fourth World and Beyond
Religion in Jack Kirby’s Fourth World and Beyond Editor: Matthew Brake Jack Kirby needs no introduction. He was one of the most prolific and creative figures in the history of modern mainstream sup…

Towards Explainable Job Title Matching: Leveraging Semantic Textual Relatedness and Knowledge Graphs
Vadim Zadykian, Bruno Andrade, Haithem Afli
https://arxiv.org/abs/2509.09522

Towards Explainable Job Title Matching: Leveraging Semantic Textual Relatedness and Knowledge Graphs
Semantic Textual Relatedness (STR) captures nuanced relationships between texts that extend beyond superficial lexical similarity. In this study, we investigate STR in the context of job title matching - a key challenge in resume recommendation systems, where overlapping terms are often limited or misleading. We introduce a self-supervised hybrid architecture that combines dense sentence embeddings with domain-specific Knowledge Graphs (KGs) to improve both semantic alignment and explainability…

Generative quantum advantage for classical and quantum problems
Hsin-Yuan Huang, Michael Broughton, Norhan Eassa, Hartmut Neven, Ryan Babbush, Jarrod R. McClean
https://arxiv.org/abs/2509.09033

Generative quantum advantage for classical and quantum problems
Recent breakthroughs in generative machine learning, powered by massive computational resources, have demonstrated unprecedented human-like capabilities. While beyond-classical quantum experiments can generate samples from classically intractable distributions, their complexity has thwarted all efforts toward efficient learning. This challenge has hindered demonstrations of generative quantum advantage: the ability of quantum computers to learn and generate desired outputs substantially better …

Explainability-in-Action: Enabling Expressive Manipulation and Tacit Understanding by Bending Diffusion Models in ComfyUI
Ahmed M. Abuzuraiq, Philippe Pasquier
https://arxiv.org/abs/2508.07183

Explainability-in-Action: Enabling Expressive Manipulation and Tacit Understanding by Bending Diffusion Models in ComfyUI
Explainable AI (XAI) in creative contexts can go beyond transparency to support artistic engagement, modifiability, and sustained practice. While curated datasets and training human-scale models can offer artists greater agency and control, large-scale generative models like text-to-image diffusion systems often obscure these possibilities. We suggest that even large models can be treated as creative materials if their internal structure is exposed and manipulable. We propose a craft-based appr…

On Powerful Ways to Generate: Autoregression, Diffusion, and Beyond
Chenxiao Yang, Cai Zhou, David Wipf, Zhiyuan Li
https://arxiv.org/abs/2510.06190 https://

On Powerful Ways to Generate: Autoregression, Diffusion, and Beyond
This paper formally studies generation processes, including auto-regressive next-token prediction and masked diffusion, that abstract beyond architectural specifics. At this level of abstraction, we quantify their benefits and limitations through measurable criteria such as computational hardness and learnability. In particular, we demonstrate that allowing generation to proceed beyond autoregression and current masked diffusion, with capabilities to rewrite and length-variable edit, can bring …

Flow-Opt: Scalable Centralized Multi-Robot Trajectory Optimization with Flow Matching and Differentiable Optimization
Simon Idoko, Arun Kumar Singh
https://arxiv.org/abs/2510.09204

Flow-Opt: Scalable Centralized Multi-Robot Trajectory Optimization with Flow Matching and Differentiable Optimization
Centralized trajectory optimization in the joint space of multiple robots allows access to a larger feasible space that can result in smoother trajectories, especially while planning in tight spaces. Unfortunately, it is often computationally intractable beyond a very small swarm size. In this paper, we propose Flow-Opt, a learning-based approach towards improving the computational tractability of centralized multi-robot trajectory optimization. Specifically, we reduce the problem to first lear…

Beyond Pass@k: Breadth-Depth Metrics for Reasoning Boundaries
Marius Dragoi, Ioana Pintilie, Florin Gogianu, Florin Brad
https://arxiv.org/abs/2510.08325 https://

Beyond Pass@k: Breadth-Depth Metrics for Reasoning Boundaries
Reinforcement Learning with Verifiable Rewards (RLVR) has emerged as a powerful paradigm to improve Large Language Models on reasoning tasks such as coding, math or logic. To assess the reasoning boundary (the fraction of problems a model can solve) researchers often report Pass@k at large sampling budgets. Recent results reveal a crossover phenomenon: while RLVR models outperform the base model at small k values, the base model usually outperforms them when sampling a very large number of comp…

Replaced article(s) found for cs.CL. https://arxiv.org/list/cs.CL/new
[2/4]:
- Beyond Demonstrations: Dynamic Vector Construction from Latent Representations
Wang Cai, Hsiu-Yuan Huang, Zhixiang Wang, Yunfang Wu

Single-Shot Decoding and Fault-tolerant Gates with Trivariate Tricycle Codes
Abraham Jacob, Campbell McLauchlan, Dan E. Browne
https://arxiv.org/abs/2508.08191 https://

Single-Shot Decoding and Fault-tolerant Gates with Trivariate Tricycle Codes
While quantum low-density parity check (qLDPC) codes are a low-overhead means of quantum information storage, it is valuable for quantum codes to possess fault-tolerant features beyond this resource efficiency. In this work, we introduce trivariate tricycle (TT) codes, qLDPC codes that combine several desirable features: high thresholds under a circuit-level noise model, partial single-shot decodability for low-time-overhead decoding, a large set of transversal Clifford gates and automorphisms …

Beyond Sub-6 GHz: Leveraging mmWave Wi-Fi for Gait-Based Person Identification
Nabeel Nisar Bhat, Maksim Karnaukh, Jakob Struye, Rafael Berkvens, Jeroen Famaey
https://arxiv.org/abs/2510.08160

Beyond Sub-6 GHz: Leveraging mmWave Wi-Fi for Gait-Based Person Identification
Person identification plays a vital role in enabling intelligent, personalized, and secure human-computer interaction. Recent research has demonstrated the feasibility of leveraging Wi-Fi signals for passive person identification using a person's unique gait pattern. Although most existing work focuses on sub-6 GHz frequencies, the emergence of mmWave offers new opportunities through its finer spatial resolution, though its comparative advantages for person identification remain unexplored. Thi…

Average Contraction Coefficients of Quantum Channels
Ruben Ibarrondo, Daniel Stilck Fran\c{c}a
https://arxiv.org/abs/2508.08214 https://arxiv.org/pdf/2508.…

Average Contraction Coefficients of Quantum Channels
The data-processing inequality ensures quantum channels reduce state distinguishability, with contraction coefficients quantifying optimal bounds. However, these can be overly optimistic and not representative of the usual behavior. We study how noise contracts distinguishability of `typical' states, beyond the worst-case. To that end, we introduce and study a family of moments of contraction for quantum divergences, which interpolate between the worst-case contraction coefficient of a channel …

Beyond Rebalancing: Benchmarking Binary Classifiers Under Class Imbalance Without Rebalancing Techniques
Ali Nawaz, Amir Ahmad, Shehroz S. Khan
https://arxiv.org/abs/2509.07605 …

Beyond Rebalancing: Benchmarking Binary Classifiers Under Class Imbalance Without Rebalancing Techniques
Class imbalance poses a significant challenge to supervised classification, particularly in critical domains like medical diagnostics and anomaly detection where minority class instances are rare. While numerous studies have explored rebalancing techniques to address this issue, less attention has been given to evaluating the performance of binary classifiers under imbalance when no such techniques are applied. Therefore, the goal of this study is to assess the performance of binary classifiers…

Beyond Turn Limits: Training Deep Search Agents with Dynamic Context Window
Qiaoyu Tang, Hao Xiang, Le Yu, Bowen Yu, Yaojie Lu, Xianpei Han, Le Sun, WenJuan Zhang, Pengbo Wang, Shixuan Liu, Zhenru Zhang, Jianhong Tu, Hongyu Lin, Junyang Lin
https://arxiv.org/abs/2510.08276

Beyond Turn Limits: Training Deep Search Agents with Dynamic Context Window
While recent advances in reasoning models have demonstrated cognitive behaviors through reinforcement learning, existing approaches struggle to invoke deep reasoning capabilities in multi-turn agents with long-horizon interactions. We propose DeepMiner, a novel framework that elicits such abilities by introducing high-difficulty training tasks and dynamic context window. DeepMiner presents a reverse construction method to generate complex but verifiable question-answer pairs from authentic web …

Reducing quantum resources for observable estimation with window-assisted coherent QPE
Harriet Apel, Cristian L. Cortes, Jessica Lemieux, Mark Steudtner
https://arxiv.org/abs/2508.06677

Reducing quantum resources for observable estimation with window-assisted coherent QPE
Quantum Phase Estimation (QPE) routines are known to fail probabilistically even with perfect gates and input states. This effect stems from an incompatibility of finite-sized quantum registers to capture a phase within QPE with phase angles of infinite precision, and the effect extend even beyond what would be reasonably expected from rounding. This effect can be partially mitigated by biasing the phase register with a window, or taper state, from classical signal processing. This paper focuse…

Beyond Over-Refusal: Scenario-Based Diagnostics and Post-Hoc Mitigation for Exaggerated Refusals in LLMs
Shuzhou Yuan, Ercong Nie, Yinuo Sun, Chenxuan Zhao, William LaCroix, Michael F\"arber
https://arxiv.org/abs/2510.08158

Beyond Over-Refusal: Scenario-Based Diagnostics and Post-Hoc Mitigation for Exaggerated Refusals in LLMs
Large language models (LLMs) frequently produce false refusals, declining benign requests that contain terms resembling unsafe queries. We address this challenge by introducing two comprehensive benchmarks: the Exaggerated Safety Benchmark (XSB) for single-turn prompts, annotated with "Focus" keywords that identify refusal-inducing triggers, and the Multi-turn Scenario-based Exaggerated Safety Benchmark (MS-XSB), which systematically evaluates refusal calibration in realistic, context-rich dial…

Quantum Reference Frames in Arbitrary Charge Sectors: Accessibility of Global Properties from Internal Perspectives
Anne-Catherine de la Hamette, Viktoria Kabel, \v{C}aslav Brukner
https://arxiv.org/abs/2510.09100

Quantum Reference Frames in Arbitrary Charge Sectors: Accessibility of Global Properties from Internal Perspectives
A fundamental question in the field of quantum reference frames concerns what global properties of a system can be determined by observers operating entirely from within that system. We investigate this question by extending both the perspectival and perspective-neutral approaches beyond the commonly studied zero total momentum case to arbitrary fixed charge sectors. When the entire system, including the reference frames, moves at a fixed total momentum $P$ relative to an external frame, this g…

Factuality Beyond Coherence: Evaluating LLM Watermarking Methods for Medical Texts
Rochana Prih Hastuti, Rian Adam Rajagede, Mansour Al Ghanim, Mengxin Zheng, Qian Lou
https://arxiv.org/abs/2509.07755 …

Factuality Beyond Coherence: Evaluating LLM Watermarking Methods for Medical Texts
As large language models (LLMs) adapted to sensitive domains such as medicine, their fluency raises safety risks, particularly regarding provenance and accountability. Watermarking embeds detectable patterns to mitigate these risks, yet its reliability in medical contexts remains untested. Existing benchmarks focus on detection-quality tradeoffs, overlooking factual risks under low-entropy settings often exploited by watermarking's reweighting strategy. We propose a medical-focused evaluation w…

Steady state properties of periodically driven quantum systems
Milan \v{S}indelka, David Gelbwaser-Klimovsky
https://arxiv.org/abs/2508.07674 https://arxiv…

Steady state properties of periodically driven quantum systems
Periodic driving is used to steer physical systems to unique stationary states or nonequilibrium steady states (NESS), producing enhanced properties inaccessible to non-driven systems. For open quantum systems, characterizing the NESS is challenging and existing results are generally limited to specific types of driving and the Born-Markov approximation. Here we go beyond these limits by studying a generic periodically driven $ N$-level quantum system interacting with a low-density thermal gas.…

Asymptotic Behavior of Random Time-Inhomogeneous Markovian Quantum Dynamics
Lubashan Pathirana, Jeffrey Schenker
https://arxiv.org/abs/2509.08924 https://a…

Asymptotic Behavior of Random Time-Inhomogeneous Markovian Quantum Dynamics
We study the asymptotic behavior of continuous-time, time-inhomogeneous Markovian quantum dynamics in a stationary random environment. Under mild faithfulness and eventually positivity-improving assumptions, the normalized evolution converges almost surely to a stationary family of full-rank states, and the normalized propagators converge almost surely to a rank-one family determined by these states. Beyond a disorder-dependent threshold, these convergences occur at exponential rates that may d…