Tootfinder

"Self-hosting DNS for no fun, but a little profit!" – Morten Linderud
https://linderud.dev/blog/self-hosting-dns-for-no-fun-but-a-little-profit/

Rodgers: Playing status will be 'a safety thing' https://www.espn.com/nfl/story/_/id/47027050/steelers-aaron-rodgers-able-protect-self-play

RoboSense Founder: One Problem With Elon Musk's Self-Driving Approach - Business Insider
https://www.businessinsider.com/robosense-steven-qiu-elon-musk-self-driving-lidar-camera-problem-2025-10

Backdooring Self-Supervised Contrastive Learning by Noisy Alignment
Tuo Chen, Jie Gui, Minjing Dong, Ju Jia, Lanting Fang, Jian Liu
https://arxiv.org/abs/2508.14015 https://

Backdooring Self-Supervised Contrastive Learning by Noisy Alignment
Self-supervised contrastive learning (CL) effectively learns transferable representations from unlabeled data containing images or image-text pairs but suffers vulnerability to data poisoning backdoor attacks (DPCLs). An adversary can inject poisoned images into pretraining datasets, causing compromised CL encoders to exhibit targeted misbehavior in downstream tasks. Existing DPCLs, however, achieve limited efficacy due to their dependence on fragile implicit co-occurrence between backdoor and …

A Generalized Learning Framework for Self-Supervised Contrastive Learning
Lingyu Si, Jingyao Wang, Wenwen Qiang
https://arxiv.org/abs/2508.13596 https://ar…

A Generalized Learning Framework for Self-Supervised Contrastive Learning
Self-supervised contrastive learning (SSCL) has recently demonstrated superiority in multiple downstream tasks. In this paper, we generalize the standard SSCL methods to a Generalized Learning Framework (GLF) consisting of two parts: the aligning part and the constraining part. We analyze three existing SSCL methods: BYOL, Barlow Twins, and SwAV, and show that they can be unified under GLF with different choices of the constraining part. We further propose empirical and theoretical analyses pro…

Internalizing Self-Consistency in Language Models: Multi-Agent Consensus Alignment
Ankur Samanta, Akshayaa Magesh, Youliang Yu, Runzhe Wu, Ayush Jain, Daniel Jiang, Boris Vidolov, Paul Sajda, Yonathan Efroni, Kaveh Hassani
https://arxiv.org/abs/2509.15172

Internalizing Self-Consistency in Language Models: Multi-Agent Consensus Alignment
Language Models (LMs) are inconsistent reasoners, often generating contradictory responses to identical prompts. While inference-time methods can mitigate these inconsistencies, they fail to address the core problem: LMs struggle to reliably select reasoning pathways leading to consistent outcomes under exploratory sampling. To address this, we formalize self-consistency as an intrinsic property of well-aligned reasoning models and introduce Multi-Agent Consensus Alignment (MACA), a reinforceme…

Trump declined to approve more than $400 million in military aid to Taiwan this summer,
as he tries to negotiate a trade deal and potential summit with Chinese leader Xi Jinping.

The decision, which may still be reversed, marks a U-turn in U.S. policy toward the self-governing island that China claims as its own territory.

Two people familiar with the matter said the package was worth more than $400 million and would have been “more lethal” than past rounds of aid to Taiwan…

Trump nixed $400 million in Taiwan military aid, pushing future arms sales
President Trump declined to approve more than $400M in military aid to Taiwan this summer, favoring future arms sales to the self-governing island China claims.

Extraction of the self energy and Eliashberg function from angle resolved photoemission spectroscopy using the \textsc{xARPES} code
Thomas P. van Waas, Christophe Berthod, Jan Berges, Nicola Marzari, J. Hugo Dil, Samuel Ponc\'e
https://arxiv.org/abs/2508.13845

Extraction of the self energy and Eliashberg function from angle resolved photoemission spectroscopy using the \textsc{xARPES} code
Angle-resolved photoemission spectroscopy is a powerful experimental technique for studying anisotropic many-body interactions through the electron spectral function. Existing attempts to decompose the spectral function into non-interacting dispersions and electron-phonon, electron-electron, and electron-impurity self-energies rely on linearization of the bands and manual assignment of self-energy magnitudes. Here, we show how self-energies can be extracted consistently for curved dispersions. …

CollabVLA: Self-Reflective Vision-Language-Action Model Dreaming Together with Human
Nan Sun, Yongchang Li, Chenxu Wang, Huiying Li, Huaping Liu
https://arxiv.org/abs/2509.14889

CollabVLA: Self-Reflective Vision-Language-Action Model Dreaming Together with Human
In this work, we present CollabVLA, a self-reflective vision-language-action framework that transforms a standard visuomotor policy into a collaborative assistant. CollabVLA tackles key limitations of prior VLAs, including domain overfitting, non-interpretable reasoning, and the high latency of auxiliary generative models, by integrating VLM-based reflective reasoning with diffusion-based action generation under a mixture-of-experts design. Through a two-stage training recipe of action groundin…

🔋 Self-assembling electrolyte enables rapid disassembly for easier EV battery recycling
https://techxplore.com/news/2025-08-electrolyte-enables-rapid-disassembly-easier.html

Self-assembling electrolyte enables rapid disassembly for easier EV battery recycling
Today's electric vehicle boom is tomorrow's mountain of electronic waste. And while myriad efforts are underway to improve battery recycling, many EV batteries still end up in landfills.

Don't miss today's Metacurity for the most critical infosec developments you should know, including
--A bona fide self-replicating worm has infected 187 npm packages,
--BreachForums founder hit with new three-year sentence,
--Coinbase beach suspect accused of participating in $500k bribery scheme,
--DHS intelligence arm exposed sensitive database,
--MSFT seized 338 sites linked to Raccoon0365 stealer,
--DeepSeek is biased against Falun Gong and oth…

A self-replicating worm has infected 187 npm packages
BreachForums founder hit with new three-year sentence, Coinbase breach suspect accused of participating in $500k+ bribery scheme, DHS intelligence arm exposed sensitive database, MSFT seized 338 sites linked to Raccoon0365 stealer, DeepSeek is biased against Falun Gong and others, much more

self esteem issues are the mind-killer. self esteem issues are the little-death that brings total obliteration. I will face my self esteem issues. I will permit them to pass over me and through me. and when they have gone past I will turn the inner eye to see their path. where the self esteem issues have gone there will be nothing. only I will remain. and hopefully i'll be cute

Sonnet 013 - XIII
O! that you were your self; but, love, you are
No longer yours, than you your self here live:
Against this coming end you should prepare,
And your sweet semblance to some other give:
So should that beauty which you hold in lease
Find no determination; then you were
Yourself again, after yourself's decease,
When your sweet issue your sweet form should bear.
Who lets so fair a house fall to decay,
Which husbandry…

In Planta Tattoo and Kirigami Sensors for Self-Powered Monitoring of Vapor Pressure Deficit and Growth Dynamics
Nafize Ishtiaque Hossain, Kundan Saha, Atul Sharma, Sameer Sonkusale
https://arxiv.org/abs/2509.14240

In Planta Tattoo and Kirigami Sensors for Self-Powered Monitoring of Vapor Pressure Deficit and Growth Dynamics
We report a scalable, self-powered in planta sensor platform for continuous monitoring of plant hydration and growth. The system integrates two components a leaf mounted tattoo sensor for estimating vapor pressure deficit and a kirigami inspired strain sensor for tracking radial stem growth. Uniquely, the tattoo sensor serves a dual function measuring temperature and humidity beneath the leaf surface while simultaneously harvesting power from ambient moisture via a vanadium pentoxide nanosheet …

Beyond Pass@1: Self-Play with Variational Problem Synthesis Sustains RLVR
Xiao Liang, Zhongzhi Li, Yeyun Gong, Yelong Shen, Ying Nian Wu, Zhijiang Guo, Weizhu Chen
https://arxiv.org/abs/2508.14029

Beyond Pass@1: Self-Play with Variational Problem Synthesis Sustains RLVR
Reinforcement Learning with Verifiable Rewards (RLVR) has recently emerged as a key paradigm for post-training Large Language Models (LLMs), particularly for complex reasoning tasks. However, vanilla RLVR training has been shown to improve Pass@1 performance at the expense of policy entropy, leading to reduced generation diversity and limiting the Pass@k performance, which typically represents the upper bound of LLM reasoning capability. In this paper, we systematically analyze the policy's gen…

On the Hausdorff dimension of geodesics with bounded self-intersection angle
Joaqu\'in Lejtreger
https://arxiv.org/abs/2509.14825 https://arxiv.org/pdf…

On the Hausdorff dimension of geodesics with bounded self-intersection angle
We expand a result of Birman and Series (1985) by proving that the set of geodesics whose self-intersection angles are bounded from below has Hausdorff dimension zero. In addition, we show that the set of geodesics that do not bound a geodesic triangle also has Hausdorff dimension zero.

Sources: Nvidia is in advanced talks to invest $500M in UK self-driving car startup Wayve, as part of a broader £2B funding pledge in UK startups (Tim Bradshaw/Financial Times)
https://www.ft.com/content/cec76ea1-2cc1-4da3-a9e9-1d76aaa50afc

Circuit-based chatacterization of finite-temperature quantum phases and self-correcting quantum memory
Ruochen Ma, Vedika Khemani, Shengqi Sang
https://arxiv.org/abs/2509.15204 …

Circuit-based chatacterization of finite-temperature quantum phases and self-correcting quantum memory
Quantum phases at zero temperature can be characterized as equivalence classes under local unitary transformations: two ground states within a gapped phase can be transformed into each other via a local unitary circuit. We generalize this circuit-based characterization of phases to systems at finite-temperature thermal equilibrium described by Gibbs states. We construct a channel circuit that approximately transforms one Gibbs state into another provided the two are connected by a path in param…

@… incredible run: appreciate the honest and heartfelt post — a level of self awareness we should all aspire to ❤️
look forward to a more healthy future for you!

petster: Pet owner social networks (2016)
A network of friendships among users on catster.com and dogster.com. Node represents a user, and edge exists if two users self-identify as friends on either website. The dogster/catster network also contains family links between dog and dog, cat and cat, as well as dog and cat.
This network has 623766 nodes and 15699276 edges.
Tags: Social, Online, Unweighted

Exit Stories: Using Reddit Self-Disclosures to Understand Disengagement from Problematic Communities
Shruti Phadke
https://arxiv.org/abs/2508.13837 https://

Exit Stories: Using Reddit Self-Disclosures to Understand Disengagement from Problematic Communities
Online platforms like Reddit are increasingly becoming popular for individuals sharing personal experiences of leaving behind social, ideological, and political groups. Specifically, a series of "ex-" subreddits on Reddit allow users to recount their departures from commitments such as religious affiliations, manosphere communities, conspiracy theories or political beliefs, and lifestyle choices. Understanding the natural process through which users exit, especially from problematic groups such…

In one case, it turns out that an all-male client group was giving vicious beratings (undeserved!) to a female project manager when they had her cornered alone. I had no idea.
In the moment, I found those men kind of obnoxiously self-confident in their ignorance, but nothing worse. Later they want on a Trumpian scorched earth campaign trying not to pay everyone for work already done and threatening lawsuits willy nilly. They turned out to be horrible people. Missing that early red flag of misogyny cost us all — but especially that manager.
2/

It's hard to motivate yourself to do stuff, especially do hard stuff if all you can think about is what a failure you are https://www.overcomecompulsivehoarding.co.uk/podcast-ep-190-self-compassion-shame-hoarding/

Self-Aware Adaptive Alignment: Enabling Accurate Perception for Intelligent Transportation Systems
Tong Xiang, Hongxia Zhao, Fenghua Zhu, Yuanyuan Chen, Yisheng Lv
https://arxiv.org/abs/2508.13823

Self-Aware Adaptive Alignment: Enabling Accurate Perception for Intelligent Transportation Systems
Achieving top-notch performance in Intelligent Transportation detection is a critical research area. However, many challenges still need to be addressed when it comes to detecting in a cross-domain scenario. In this paper, we propose a Self-Aware Adaptive Alignment (SA3), by leveraging an efficient alignment mechanism and recognition strategy. Our proposed method employs a specified attention-based alignment module trained on source and target domain datasets to guide the image-level features a…

MACTAS: Self-Attention-Based Module for Inter-Agent Communication in Multi-Agent Reinforcement Learning
Maciej Wojtala, Bogusz Stefa\'nczyk, Dominik Bogucki, {\L}ukasz Lepak, Jakub Strykowski, Pawe{\l} Wawrzy\'nski
https://arxiv.org/abs/2508.13661

MACTAS: Self-Attention-Based Module for Inter-Agent Communication in Multi-Agent Reinforcement Learning
Communication is essential for the collective execution of complex tasks by human agents, motivating interest in communication mechanisms for multi-agent reinforcement learning (MARL). However, existing communication protocols in MARL are often complex and non-differentiable. In this work, we introduce a self-attention-based communication module that exchanges information between the agents in MARL. Our proposed approach is fully differentiable, allowing agents to learn to generate messages in …

Strongly resonant polarization dynamics of pulse trains in a spin-flip model for an excitable microlaser with delayed self-feedback
Stefan Ruschel, Sylvain Barbay, Neil G. R. Broderick, Bernd Krauskopf
https://arxiv.org/abs/2508.13630

Strongly resonant polarization dynamics of pulse trains in a spin-flip model for an excitable microlaser with delayed self-feedback
Motivated by recent experimental observations concerning the polarization dynamics in an excitable microlaser with saturable absorber coupled to an external feedback mirror reported in [Ruschel et al. (2025) Opt. Lett. 50 (8) 2618], we propose here an in-depth theoretical investigation of the locked dynamics of regenerative vectorial pulse trains that this system produces. We perform a numerical bifurcation analysis of self-sustained pulse trains of a corresponding spin-flip model with delayed …

A Scalable Formula for the Moments of a Family of Self-Normalized Statistics
Haolin Zou, Heyuan Yao, Victor de la Pe\~na
https://arxiv.org/abs/2509.14428 https://

A Scalable Formula for the Moments of a Family of Self-Normalized Statistics
Following the student t-statistic, normalization has been a widely used method in statistic and other disciplines including economics, ecology and machine learning. We focus on statistics taking the form of a ratio over (some power of) the sample mean, the probabilistic features of which remain unknown. We develop a unified formula for the moments of these self-normalized statistics with non-negative observations, yielding closed-form expressions for several important cases. Moreover, the compl…

sometimes really just need to hear jimmie dale gilmore's voice (though "when the nights are cold" might be the only really transcendent moment for me). @…

Trump dumping shit on protesters in a video he posted himself is not a headline in the New York Times. This tells us everything about the level of self-censorship and acceptance of fascism and authoritarianism. In any other normal democratic country this would be a headline...
#trump #fascism

Stadtlebende #Waschbären in den USA zeigen Anzeichen von Selbst-Domestikation.
Forschende fanden heraus, dass ihre #Schnauzen kürzer sind als die ihrer ländlichen Artgenossen, ein typisches Merkmal des sogenannten

Raccoons Appear To Be Self-Domesticating Themselves In US Cities
Trash pandas are becoming more pet-like.

#NowPlaying another great punk LP, this one is from 2018, the self-titled debut record 'Color TV' by Minnesota's COLOR TV. There's great hooky guitar lines all over this one. Kind of a Dickies feel sometimes, mixed maybe with the snottiness of The Briefs? Hadn't heard these guys-- a band to watch, for sure.

During "Lois & Clark", Teri Hatcher was a self-centered diva while Dean Cain was thoughtful & kind.
Today, Hatcher supports positive social causes while Cain is a neo-Nazi, extremist Christian member of ICE.
▶️ Dean Cain's weird transformation explained by Teri Hatcher
https://y…

The FCC hasn't denied any license renewals in decades and the legal battle would be long, so Brendan Carr's threats are designed to make the media self-censor (CNN)
https://view.newsletters.cnn.com/messages/1758286615238bb1f6cfd45f0/raw

There's some rich scientific literature on volunteering and how volunteer motivations change and shift from initial engagement to sustained contributing, including some work we've done in that space around motivations for engaging with self-research communities.
Maybe it's time for a another blog post to look at that in more detail 😅

“Self-examination is great but no need to fall into the assesspool of self-judgment.”

-- Swami Beyondananda
Swami’s Daily Laughsitive (stolen from his email list)
#Humor

Estimates for Schr\"{o}dinger Groups and Imaginary Power Operators on Weak Hardy Spaces Associated with Non-negative Self-adjoint Operators and Ball Quasi-Banach Function Spaces
Xiong Liu, Wenhua Wang
https://arxiv.org/abs/2508.13913

Estimates for Schrödinger Groups and Imaginary Power Operators on Weak Hardy Spaces Associated with Non-negative Self-adjoint Operators and Ball Quasi-Banach Function Spaces
Let $(\mathbb{X},d,μ)$ be a doubling metric measure space, $L$ a non-negative self-adjoint operator on $L^2(\mathbb{X})$ satisfying the Davies-Gaffney estimate, and $X(\mathbb{X})$ a ball quasi-Banach function space on $\mathbb{X}$ satisfying some mild assumptions with $p\in(0,\infty)$ and $s_0\in(0,\min\{p,1\}]$. In this article, the authors first study the weak Hardy space $WH_{X,L}(\mathbb{X})$ associated with $L$ and $X(\mathbb{X})$, and then establish the atomic and molecular decompositio…

Regular black holes with gravitational self-energy as dark matter
Kimet Jusufi, Douglas Singleton
https://arxiv.org/abs/2509.13335 https://arxiv.org/pdf/25…

Regular black holes with gravitational self-energy as dark matter
We incorporate the effect of non-local gravitational self-energy to obtain a neutral, non-singular spacetime geometry. This is achieved by using a non-local gravitational theory inspired by T-duality, where particle mass is not point-like but smeared over a region. This non-local gravitational self-interaction is derived from the Newtonian gravitational potential and energy density, allowing us to define a coordinate-independent quantity. Thus, we incorporate the non-local gravitational field i…

The Worrier To Warrior Podcast
I'm the creator of the Worrier to Warrior system taking you from overthinking, self doubt and perfectionism...
Great Australian Pods Podcast Directory: https://www.greataustralianpods.com/the-worrier-to-warrior/

Even Amazon is a self-hoster!

I’d love to, but at $400/head? Fuck that.

Great comment by @…:
«[…] private institutions are fundamentally extractive. Decisions are made on the basis of profit or some similar self-serving motivation. They provide as little as possible for the revenue they receive. Public institutions, by contrast, are fundamentally constructive. They exist to promote the social good or (if we believe Mark Carney) s…

A generative model of function growth explains hidden self-similarities across biological and social systems
James Holehouse, S. Redner, Vicky Chuqiao Yang, P. L. Krapivsky, Jose Ignacio Arroyo, Geoffrey B West, Chris Kempes, Hyejin Youn
https://arxiv.org/abs/2509.14468

A generative model of function growth explains hidden self-similarities across biological and social systems
From genomes and ecosystems to bureaucracies and cities, the growth of complex systems occurs by adding new types of functions and expanding existing ones. We present a simple generative model that generalizes the Yule-Simon process by including: (i) a size-dependent probability of introducing new functions, and (ii) a generalized preferential attachment mechanism for expanding existing ones. We uncover a shared underlying structure that helps explain how function diversity evolves in empirical…

BabyHuBERT: Multilingual Self-Supervised Learning for Segmenting Speakers in Child-Centered Long-Form Recordings
Th\'eo Charlot, Tarek Kunze, Maxime Poli, Alejandrina Cristia, Emmanuel Dupoux, Marvin Lavechin
https://arxiv.org/abs/2509.15001

BabyHuBERT: Multilingual Self-Supervised Learning for Segmenting Speakers in Child-Centered Long-Form Recordings
Child-centered long-form recordings are essential for studying early language development, but existing speech models trained on clean adult data perform poorly due to acoustic and linguistic differences. We introduce BabyHuBERT, the first self-supervised speech representation model trained on 13,000 hours of multilingual child-centered long-form recordings spanning over 40 languages. We evaluate BabyHuBERT on speaker segmentation, identifying when target children speak versus female adults, ma…

Self-Organizing Agent Network for LLM-based Workflow Automation
Yiming Xiong, Jian Wang, Bing Li, Yuhan Zhu, Yuqi Zhao
https://arxiv.org/abs/2508.13732 https://

Self-Organizing Agent Network for LLM-based Workflow Automation
Recent multi-agent frameworks built upon large language models (LLMs) have demonstrated remarkable capabilities in complex task planning. However, in real-world enterprise environments, business workflows are typically composed through modularization and reuse of numerous subprocesses, resulting in intricate workflows characterized by lengthy and deeply nested execution paths. Such complexity poses significant challenges for LLM-driven orchestration, as extended reasoning chains and state-space…

RIP to this #SolyTech power supply in one of my old #TigerDirect #Systemax clunkers. It just failed spectacularly with a tick-tick-tick, a large burst of yellow sparks, a loud buzz, and acrid ozoney smoke.…

Self-learning AI releases NFL picks, score predictions every Week 12 game

https://www.cbssports.com/nfl/news/nfl-week-12-picks-score-predictions-predictions-best-bets/

Quenched properties of the Spectral Form Factor
Dimitrios Charamis, Manas Kulkarni, Jorge Kurchan, Laura Foini
https://arxiv.org/abs/2509.14406 https://arx…

Quenched properties of the Spectral Form Factor
The Spectral Form Factor (SFF) is defined as the modulus squared of the partition function in complex temperature for hermitian matrices and a suitable generalisation has been given in the non hermitian case. In this work we compute the properties of the quenched SFF for hermitian and non hermitian random matrices. Despite the fact that the (annealed) SFF is not self-averaging the quenched SFF is self-averaging but these two averages coincide up to subleading constants (at least for high enough…

Self-intersection of the Torelli map
Lycka Drakengren
https://arxiv.org/abs/2509.12449 https://arxiv.org/pdf/2509.12449

Self-intersection of the Torelli map
The Torelli map $t\colon \mathcal{M}^{ct}_g \to \mathcal{A}_g$ is far from an immersion for $g\geq 3$: the self-fiber product of the Torelli map for $g\geq 3$ has several components with nontrivial intersections. We give a stratification of the self-fiber product for arbitrary genus and describe how components in the fiber product intersect. In genus $4$, the Torelli fiber product is nonreduced, which we prove by analyzing the expansion of the period map near a nodal curve. We use the geometry …

SSL-SSAW: Self-Supervised Learning with Sigmoid Self-Attention Weighting for Question-Based Sign Language Translation
Zekang Liu, Wei Feng, Fanhua Shang, Lianyu Hu, Jichao Feng, Liqing Gao
https://arxiv.org/abs/2509.14036

SSL-SSAW: Self-Supervised Learning with Sigmoid Self-Attention Weighting for Question-Based Sign Language Translation
Sign Language Translation (SLT) bridges the communication gap between deaf people and hearing people, where dialogue provides crucial contextual cues to aid in translation. Building on this foundational concept, this paper proposes Question-based Sign Language Translation (QB-SLT), a novel task that explores the efficient integration of dialogue. Unlike gloss (sign language transcription) annotations, dialogue naturally occurs in communication and is easier to annotate. The key challenge lies i…

$p$-orbital self-organization of ultracold atoms coupled to optical cavities
Hui Tan, Pengfei Zhang, Jianmin Yuan, Yongqiang Li
https://arxiv.org/abs/2508.13410 https://

$p$-orbital self-organization of ultracold atoms coupled to optical cavities
Atoms coupled to optical cavities provide a novel platform for understanding high-orbital exotic phenomena in strongly correlated materials. In this study, we investigate strongly correlated ultracold bosonic gases that are coupled to two orthogonally arranged optical cavities and driven by a blue-detuned running-wave laser field. Our results demonstrate that atoms initially in the $s$-orbital state can be scattered into $p_x$- and $p_y$-orbital states in either a symmetric or asymmetric manner…

Efficient Solutions for Mitigating Initialization Bias in Unsupervised Self-Adaptive Auditory Attention Decoding
Yuanyuan Yao, Simon Geirnaert, Tinne Tuytelaars, Alexander Bertrand
https://arxiv.org/abs/2509.14764

Efficient Solutions for Mitigating Initialization Bias in Unsupervised Self-Adaptive Auditory Attention Decoding
Decoding the attended speaker in a multi-speaker environment from electroencephalography (EEG) has attracted growing interest in recent years, with neuro-steered hearing devices as a driver application. Current approaches typically rely on ground-truth labels of the attended speaker during training, necessitating calibration sessions for each user and each EEG set-up to achieve optimal performance. While unsupervised self-adaptive auditory attention decoding (AAD) for stimulus reconstruction ha…

The true #matrix experience, it spins then errors out.
@… I honestly gave matrix a try (self hosting) but this is ridiculous, I’m unable to enter an unencrypted chat room. This is now before and after the cloudflare downtime

Meta CTO says the technical issues during live demos of its new smart glasses were due to a self-inflicted DDoS and a bug that put Zuckerberg's glasses to sleep (Jess Weatherbed/The Verge)
https://www.theverge.com/news/781730/meta-explains-live-ai-s…

Meta’s failed smart glasses demos had nothing to do with the Wi-Fi
‘We DDoS’d ourselves, basically.‘

AWS ist down, aber SchildiChat geht, weil das matrix drunter self-host ist. (Tuwunel sei dank) ~~~

Personalized Detection of Stress via hdrEEG: Linking Neuro-markers to Cortisol, HRV, and Self-Report
N. B. Maimon, Ganit Baruchin, Itamar Grotto, Nathan Intrator, Talya Zeimer, Ofir Chibotero, Efrat Danino
https://arxiv.org/abs/2509.13875

Personalized Detection of Stress via hdrEEG: Linking Neuro-markers to Cortisol, HRV, and Self-Report
Chronic stress is a major risk factor for cognitive decline, neurodegenerative disease, and systemic health burden, underscoring the need for reliable individual-level biomarkers of stress reactivity. While cortisol, heart rate variability (HRV), and self-report measures are widely used, they provide limited insight into neural mechanisms. Here, we tested whether two single-channel hdrEEG biomarkers, ST4 and T2, serve as personalized indices of stress regulation by linking neural activity to va…

Reasoning Efficiently Through Adaptive Chain-of-Thought Compression: A Self-Optimizing Framework
Kerui Huang, Shuhan Liu, Xing Hu, Tongtong Xu, Lingfeng Bao, Xin Xia
https://arxiv.org/abs/2509.14093

Reasoning Efficiently Through Adaptive Chain-of-Thought Compression: A Self-Optimizing Framework
Chain-of-Thought (CoT) reasoning enhances Large Language Models (LLMs) by prompting intermediate steps, improving accuracy and robustness in arithmetic, logic, and commonsense tasks. However, this benefit comes with high computational costs: longer outputs increase latency, memory usage, and KV-cache demands. These issues are especially critical in software engineering tasks where concise and deterministic outputs are required. To investigate these trade-offs, we conduct an empirical study base…

Update of the Higgs Self-coupling Projections from Di-Higgs Production in Detailed Simulation of the ILD Concept
Mikael Berggren, Bryan Bliewert, Jenny List, Dimitris Ntounis, Taikan Suehara, Junping Tian, Julie Munch Torndal, Caterina Vernieri
https://arxiv.org/abs/2509.14148

Update of the Higgs Self-coupling Projections from Di-Higgs Production in Detailed Simulation of the ILD Concept
This contribution summarizes the update of the projections for the determination of the tri-linear Higgs self-coupling from di-Higgs production at future $e^+e^-$ colliders. In particular, we will present an update of the analysis of $ZHH$ production at 500 GeV in detailed simulations of the ILD concept, covering the $HH\rightarrow b\bar{b}b\bar{b}$ and $Z\rightarrow q\bar{q} / e^+e^- / μ^+μ^- /ν\barν$ channels. Based on the experience of previous analyses, we will extrapolate these to cont…

petster: Pet owner social networks (2016)
A network of friendships among users on catster.com and dogster.com. Node represents a user, and edge exists if two users self-identify as friends on either website. The dogster/catster network also contains family links between dog and dog, cat and cat, as well as dog and cat.
This network has 623766 nodes and 15699276 edges.
Tags: Social, Online, Unweighted

Online influencer Andrew Tate,
a self-described misogynist who has millions of young male followers,
was facing allegations of sex trafficking women in three countries
when he and his brother left their home in Romania to visit the United States.
“The Tates will be free,
Trump is the president.
The good old days are back,”
Tate posted on X before the trip in February
— one of many times he has sung the president’s praises to his fans.
But…

The White House Intervened on Behalf of Accused Sex Trafficker Andrew Tate During a Federal Investigation
Federal authorities were chided for seizing electronic devices from Tate and his brother, and told to return them, records and interviews show. Experts said the intervention was highly inappropriate.

The Intercepted Self: How Generative AI Challenges the Dynamics of the Relational Self
Sandrine R. Schiller, Camilo Miguel Signorelli, Filippos Stamatiou
https://arxiv.org/abs/2509.13391

The Intercepted Self: How Generative AI Challenges the Dynamics of the Relational Self
Generative AI is changing our way of interacting with technology, others, and ourselves. Systems such as Microsoft copilot, Gemini and the expected Apple intelligence still awaits our prompt for action. Yet, it is likely that AI assistant systems will only become better at predicting our behaviour and acting on our behalf. Imagine new generations of generative and predictive AI deciding what you might like best at a new restaurant, picking an outfit that increases your chances on your date with…

Beneath the Mask: Can Contribution Data Unveil Malicious Personas in Open-Source Projects?
Ruby Nealon
https://arxiv.org/abs/2508.13453 https://arxiv.org/p…

Beneath the Mask: Can Contribution Data Unveil Malicious Personas in Open-Source Projects?
In February 2024, after building trust over two years with project maintainers by making a significant volume of legitimate contributions, GitHub user "JiaT75" self-merged a version of the XZ Utils project containing a highly sophisticated, well-disguised backdoor targeting sshd processes running on systems with the backdoored package installed. A month later, this package began to be distributed with popular Linux distributions until a Microsoft employee discovered the backdoor while investiga…

Dehoarding, I think, is a million small steps. And that's exhausting, but you don't get to the tenth step if you don't take the first step https://www.overcomecompulsivehoarding.co.uk/podcast-ep-190-self-compassion-shame-hoarding/

Important self-defense lecture:
https://www.instagram.com/reel/DLxnJl1PZ6v/?igsh=MzQwazY4MGJnZmo5
🤣

Self-Supervised Sparse Sensor Fusion for Long Range Perception
Edoardo Palladin, Samuel Brucker, Filippo Ghilotti, Praveen Narayanan, Mario Bijelic, Felix Heide
https://arxiv.org/abs/2508.13995

Self-Supervised Sparse Sensor Fusion for Long Range Perception
Outside of urban hubs, autonomous cars and trucks have to master driving on intercity highways. Safe, long-distance highway travel at speeds exceeding 100 km/h demands perception distances of at least 250 m, which is about five times the 50-100m typically addressed in city driving, to allow sufficient planning and braking margins. Increasing the perception ranges also allows to extend autonomy from light two-ton passenger vehicles to large-scale forty-ton trucks, which need a longer planning ho…

ClearFairy: Capturing Creative Workflows through Decision Structuring, In-Situ Questioning, and Rationale Inference
Kihoon Son, DaEun Choi, Tae Soo Kim, Young-Ho Kim, Sangdoo Yun, Juho Kim
https://arxiv.org/abs/2509.14537

ClearFairy: Capturing Creative Workflows through Decision Structuring, In-Situ Questioning, and Rationale Inference
Capturing professionals' decision-making in creative workflows is essential for reflection, collaboration, and knowledge sharing, yet existing methods often leave rationales incomplete and implicit decisions hidden. To address this, we present CLEAR framework that structures reasoning into cognitive decision steps-linked units of actions, artifacts, and self-explanations that make decisions traceable. Building on this framework, we introduce ClearFairy, a think-aloud AI assistant for UI design …

New theoretical predictions on Type II Cepheids: towards a self consistent Pop. II distance scale
Marcella Marconi, Roberto Molinaro, Vincenzo Ripepi, Giulia De Somma, Teresa Sicignano, Mami Deka, Marcella Di Criscienzo, Emanuela Luongo, Ilaria Musella, Erasmo Trentin
https://arxiv.org/abs/2509.13552…

New theoretical predictions on Type II Cepheids: towards a self consistent Pop. II distance scale
Type II Cepheids are pulsating stars that can be used as standard candles for old stellar populations due to their characteristic Period-Luminosity and Period-Luminosity-Colour relations. They are traditionally divided in 3 sub-classes, namely BL Her, W Vir and RV Tauri. In this paper we focus on the first two sub-classes, to provide a new theoretical scenario and develop tools and relations to be adopted in distance scale and old stellar populations studies. We have built new nonlinear convect…

Falcons vs. 49ers NFL player props: Self-learning AI backs Michael Penix Jr. over 30.5 pass attempts on SNF

https://www.cbssports.com/nfl/news/falcons-49ers-nfl…

TransforMARS: Fault-Tolerant Self-Reconfiguration for Arbitrarily Shaped Modular Aerial Robot Systems
Rui Huang, Zhiyu Gao, Siyu Tang, Jialin Zhang, Lei He, Ziqian Zhang, Lin Zhao
https://arxiv.org/abs/2509.14025

TransforMARS: Fault-Tolerant Self-Reconfiguration for Arbitrarily Shaped Modular Aerial Robot Systems
Modular Aerial Robot Systems (MARS) consist of multiple drone modules that are physically bound together to form a single structure for flight. Exploiting structural redundancy, MARS can be reconfigured into different formations to mitigate unit or rotor failures and maintain stable flight. Prior work on MARS self-reconfiguration has solely focused on maximizing controllability margins to tolerate a single rotor or unit fault for rectangular-shaped MARS. We propose TransforMARS, a general fault…

Is Anubis still the state of the art in self-host scraper bot defence or are people using other things now?

SMARTER: A Data-efficient Framework to Improve Toxicity Detection with Explanation via Self-augmenting Large Language Models
Huy Nghiem, Advik Sachdeva, Hal Daum\'e III
https://arxiv.org/abs/2509.15174

SMARTER: A Data-efficient Framework to Improve Toxicity Detection with Explanation via Self-augmenting Large Language Models
WARNING: This paper contains examples of offensive materials. Toxic content has become pervasive on social media platforms. We introduce SMARTER, a data-efficient two-stage framework for explainable content moderation using Large Language Models (LLMs). In Stage 1, we leverage LLMs' own outputs to generate synthetic explanations for both correct and incorrect labels, enabling alignment via preference optimization with minimal human supervision. In Stage 2, we refine explanation quality through …

dblp_cite: DBLP citations (2014)
Citations among papers contained in the DBLP computer science bibliography. If a paper i cites a paper j also in this data set, then a directed edge connects i to j. (Papers not in the data set are excluded.) Self-loops may be present. This snapshot from May 2014.
This network has 12590 nodes and 49759 edges.
Tags: Informational, Citation, Unweighted

Understand Before You Generate: Self-Guided Training for Autoregressive Image Generation
Xiaoyu Yue, Zidong Wang, Yuqing Wang, Wenlong Zhang, Xihui Liu, Wanli Ouyang, Lei Bai, Luping Zhou
https://arxiv.org/abs/2509.15185

Understand Before You Generate: Self-Guided Training for Autoregressive Image Generation
Recent studies have demonstrated the importance of high-quality visual representations in image generation and have highlighted the limitations of generative models in image understanding. As a generative paradigm originally designed for natural language, autoregressive models face similar challenges. In this work, we present the first systematic investigation into the mechanisms of applying the next-token prediction paradigm to the visual domain. We identify three key properties that hinder th…

Maestro: Self-Improving Text-to-Image Generation via Agent Orchestration
Xingchen Wan, Han Zhou, Ruoxi Sun, Hootan Nakhost, Ke Jiang, Rajarishi Sinha, Sercan \"O. Ar{\i}k
https://arxiv.org/abs/2509.10704

Maestro: Self-Improving Text-to-Image Generation via Agent Orchestration
Text-to-image (T2I) models, while offering immense creative potential, are highly reliant on human intervention, posing significant usability challenges that often necessitate manual, iterative prompt engineering over often underspecified prompts. This paper introduces Maestro, a novel self-evolving image generation system that enables T2I models to autonomously self-improve generated images through iterative evolution of prompts, using only an initial prompt. Maestro incorporates two key innov…

Trump nixed $400 million in Taiwan military aid, angling for future arms sales
The fastest way to fortify Taiwan’s military is by directly shipping U.S. arms,
a process known as Presidential Drawdown Authority, or PDA.
The Biden administration approved three such packages for Taiwan while in office, alongside another round of long-term military aid, totaling more than $2 billion.

Trump has promised a more transactional U.S. foreign policy and does not support sendin…

Trump nixed $400 million in Taiwan military aid, pushing future arms sales
President Trump declined to approve more than $400M in military aid to Taiwan this summer, favoring future arms sales to the self-governing island China claims.

HARNESS: Lightweight Distilled Arabic Speech Foundation Models
Vrunda N. sukhadia, Shammur Absar Chowdhury
https://arxiv.org/abs/2509.14689 https://arxiv.o…

HARNESS: Lightweight Distilled Arabic Speech Foundation Models
Large pre-trained speech models excel in downstream tasks but their deployment is impractical for resource-limited environments. In this paper, we introduce HArnESS, the first Arabic-centric self-supervised speech model family, designed to capture Arabic speech nuances. Using iterative self-distillation, we train large bilingual HArnESS (HL) SSL models and then distill knowledge into compressed student models (HS, HST), preserving Arabic-specific representations. We use low-rank approximation t…

@…
THIS HOUSE WE BELIEVE:
SCREAMING IS SELF-CARE

On the Local-to-Global Principle for Zero-Cycles on Self Products of Elliptic Curves with CM
Michael Wills
https://arxiv.org/abs/2509.13641 https://arxiv.o…

On the Local-to-Global Principle for Zero-Cycles on Self Products of Elliptic Curves with CM
For a smooth projective variety $X$ defined over a global field $K$, one can form a notion of Weak Approximation for the Chow group of zero-cycles of $X$. There exists a Brauer-Manin obstruction to Weak Approximation here akin to that for rational points. However, unlike for rational points, it is conjectured that this obstruction is the only one; early versions of this conjecture date back to work of Colliot-Thélène and Sansuc (1981) and of Kato and Saito (1986). In this paper, we provide ev…

😰 Miami Is Testing a Self-Driving Police Car That Can Launch Drones
https://www.thedrive.com/news/miami-is-testing-a-self-driving-police-car-that-can-launch-drones

Miami Is Testing a Self-Driving Police Car That Can Launch Drones
Meet the new surveillance state trooper!

Analytical phase boundary of a quantum driven-dissipative Kerr oscillator from classical stochastic instantons
Th\'eo S\'epulcre
https://arxiv.org/abs/2508.13925 https:/…

Analytical phase boundary of a quantum driven-dissipative Kerr oscillator from classical stochastic instantons
The framework of Keldysh path integral concisely describes quantum systems driven away from thermal equilibrium, such as the two-photon driven Kerr oscillator. Within the thermodynamic limit of diverging photon occupation, we map it to a Martin-Siggia-Rose-Janssen-de Dominicis path integral, and obtain a purely classical, stochastic equivalent where photon self-interaction plays the role of temperature. This perspective sheds light on the difficulties encountered in the search for an effective …

SV-Mixer: Replacing the Transformer Encoder with Lightweight MLPs for Self-Supervised Model Compression in Speaker Verification
Jungwoo Heo, Hyun-seo Shin, Chan-yeong Lim, Kyo-won Koo, Seung-bin Kim, Jisoo Son, Ha-Jin Yu
https://arxiv.org/abs/2509.14136

SV-Mixer: Replacing the Transformer Encoder with Lightweight MLPs for Self-Supervised Model Compression in Speaker Verification
Self-supervised learning (SSL) has pushed speaker verification accuracy close to state-of-the-art levels, but the Transformer backbones used in most SSL encoders hinder on-device and real-time deployment. Prior compression work trims layer depth or width yet still inherits the quadratic cost of self-attention. We propose SV-Mixer, the first fully MLP-based student encoder for SSL distillation. SV-Mixer replaces Transformer with three lightweight modules: Multi-Scale Mixing for multi-resolution …

Trump nixed $400 million in Taiwan military aid, angling for future arms sales
The fastest way to fortify Taiwan’s military is by directly shipping U.S. arms,
a process known as Presidential Drawdown Authority, or PDA.
The Biden administration approved three such packages for Taiwan while in office, alongside another round of long-term military aid, totaling more than $2 billion.

Trump has promised a more transactional U.S. foreign policy and does not support sendin…

Trump nixed $400 million in Taiwan military aid, pushing future arms sales
President Trump declined to approve more than $400M in military aid to Taiwan this summer, favoring future arms sales to the self-governing island China claims.

Towards Rationale-Answer Alignment of LVLMs via Self-Rationale Calibration
Yuanchen Wu, Ke Yan, Shouhong Ding, Ziyin Zhou, Xiaoqiang Li
https://arxiv.org/abs/2509.13919 https://…

Towards Rationale-Answer Alignment of LVLMs via Self-Rationale Calibration
Large Vision-Language Models (LVLMs) have manifested strong visual question answering capability. However, they still struggle with aligning the rationale and the generated answer, leading to inconsistent reasoning and incorrect responses. To this end, this paper introduces the Self-Rationale Calibration (SRC) framework to iteratively calibrate the alignment between rationales and answers. SRC begins by employing a lightweight "rationale fine-tuning" approach, which modifies the model's respons…

Out of Distribution Detection in Self-adaptive Robots with AI-powered Digital Twins
Erblin Isaku, Hassan Sartaj, Shaukat Ali, Beatriz Sanguino, Tongtong Wang, Guoyuan Li, Houxiang Zhang, Thomas Peyrucain
https://arxiv.org/abs/2509.12982

Out of Distribution Detection in Self-adaptive Robots with AI-powered Digital Twins
Self-adaptive robots (SARs) in complex, uncertain environments must proactively detect and address abnormal behaviors, including out-of-distribution (OOD) cases. To this end, digital twins offer a valuable solution for OOD detection. Thus, we present a digital twin-based approach for OOD detection (ODiSAR) in SARs. ODiSAR uses a Transformer-based digital twin to forecast SAR states and employs reconstruction error and Monte Carlo dropout for uncertainty quantification. By combining reconstructi…

PENGUIN: Enhancing Transformer with Periodic-Nested Group Attention for Long-term Time Series Forecasting
Tian Sun, Yuqi Chen, Weiwei Sun
https://arxiv.org/abs/2508.13773 https:…

PENGUIN: Enhancing Transformer with Periodic-Nested Group Attention for Long-term Time Series Forecasting
Long-term time series forecasting (LTSF) is a fundamental task with wide-ranging applications. Although Transformer-based models have made significant breakthroughs in forecasting, their effectiveness for time series forecasting remains debatable. In this paper, we revisit the significance of self-attention and propose a simple yet effective mechanism, Periodic-Nested Group Attention, namely PENGUIN. Our approach highlights the importance of explicitly modeling periodic patterns and incorporati…

Crosslisted article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[6/6]:
- SMARTER: A Data-efficient Framework to Improve Toxicity Detection with Explanation via Self-augme...
Huy Nghiem, Advik Sachdeva, Hal Daum\'e III

DSCC-HS: A Dynamic Self-Reinforcing Framework for Hallucination Suppression in Large Language Models
Xiao Zheng
https://arxiv.org/abs/2509.13702 https://ar…

DSCC-HS: A Dynamic Self-Reinforcing Framework for Hallucination Suppression in Large Language Models
Large Language Model (LLM) hallucination is a significant barrier to their reliable deployment. Current methods like Retrieval-Augmented Generation (RAG) are often reactive. We introduce **Dynamic Self-reinforcing Calibration for Hallucination Suppression (DSCC-HS)**, a novel, proactive framework that intervenes during autoregressive decoding. Inspired by dual-process cognitive theory, DSCC-HS uses a compact proxy model, trained in adversarial roles as a Factual Alignment Proxy (FAP) and a Hall…

Automaker Stellantis and Pony.ai sign a non-binding agreement to develop robotaxis for deployment in Europe, with plans to start testing in the coming months (Rebecca Bellan/TechCrunch)
https://techcrunch.com/2025/10/17/stellantis-teams-up-w…

Stellantis teams up with Pony AI to develop robotaxis in Europe  | TechCrunch
The collaboration will integrate Pony’s self-driving software into Stellantis’ electric medium-size van platform, which is built with advanced sensors to support autonomous vehicles.

Noise-Resilient Spatial Search with Lackadaisical Quantum Walks
Gabriel M. O. Vieira, Nelson Maculan, Franklin de L. Marquezino
https://arxiv.org/abs/2508.13462 https://

Noise-Resilient Spatial Search with Lackadaisical Quantum Walks
Quantum walks are a powerful framework for the development of quantum algorithms, with lackadaisical quantum walks (LQWs) standing out as an efficient model for spatial search. In this work, we investigate how broken-link decoherence affects the performance of LQW-based search on a two-dimensional toroidal grid. We show through numerical simulations that, while decoherence drives the loopless walk toward a uniform distribution and eliminates its search capability, the inclusion of self-loops si…

Slim-SC: Thought Pruning for Efficient Scaling with Self-Consistency
Colin Hong, Xu Guo, Anand Chaanan Singh, Esha Choukse, Dmitrii Ustiugov
https://arxiv.org/abs/2509.13990 htt…

Slim-SC: Thought Pruning for Efficient Scaling with Self-Consistency
Recently, Test-Time Scaling (TTS) has gained increasing attention for improving LLM reasoning performance at test time without retraining the model. A notable TTS technique is Self-Consistency (SC), which generates multiple reasoning chains in parallel and selects the final answer via majority voting. While effective, the order-of-magnitude computational overhead limits its broad deployment. Prior attempts to accelerate SC mainly rely on model-based confidence scores or heuristics with limited …

The best NFL games on TV for the rest of 2025: Defending champs vs. defending MVP https://www.nytimes.com/athletic/6808271/2025/11/19/philadelphia-eagles-buffalo-bills-josh-allen-nfl-week-17/

petster: Pet owner social networks (2016)
A network of friendships among users on catster.com and dogster.com. Node represents a user, and edge exists if two users self-identify as friends on either website. The dogster/catster network also contains family links between dog and dog, cat and cat, as well as dog and cat.
This network has 623766 nodes and 15699276 edges.
Tags: Social, Online, Unweighted

Self-Augmented Robot Trajectory: Efficient Imitation Learning via Safe Self-augmentation with Demonstrator-annotated Precision
Hanbit Oh, Masaki Murooka, Tomohiro Motoda, Ryoichi Nakajo, Yukiyasu Domae
https://arxiv.org/abs/2509.09893

Self-Augmented Robot Trajectory: Efficient Imitation Learning via Safe Self-augmentation with Demonstrator-annotated Precision
Imitation learning is a promising paradigm for training robot agents; however, standard approaches typically require substantial data acquisition -- via numerous demonstrations or random exploration -- to ensure reliable performance. Although exploration reduces human effort, it lacks safety guarantees and often results in frequent collisions -- particularly in clearance-limited tasks (e.g., peg-in-hole) -- thereby, necessitating manual environmental resets and imposing additional human burden.…

Adapting and Evaluating Multimodal Large Language Models for Adolescent Idiopathic Scoliosis Self-Management: A Divide and Conquer Framework
Zhaolong Wu, Pu Luo, Jason Pui Yin Cheung, Teng Zhang
https://arxiv.org/abs/2509.11645

Adapting and Evaluating Multimodal Large Language Models for Adolescent Idiopathic Scoliosis Self-Management: A Divide and Conquer Framework
This study presents the first comprehensive evaluation of Multimodal Large Language Models (MLLMs) for Adolescent Idiopathic Scoliosis (AIS) self-management. We constructed a database of approximately 3,000 anteroposterior X-rays with diagnostic texts and evaluated five MLLMs through a `Divide and Conquer' framework consisting of a visual question-answering task, a domain knowledge assessment task, and a patient education counseling assessment task. Our investigation revealed limitations of MLL…

SpecDiff: Accelerating Diffusion Model Inference with Self-Speculation
Jiayi Pan, Jiaming Xu, Yongkang Zhou, Guohao Dai
https://arxiv.org/abs/2509.13848 https://

SpecDiff: Accelerating Diffusion Model Inference with Self-Speculation
Feature caching has recently emerged as a promising method for diffusion model acceleration. It effectively alleviates the inefficiency problem caused by high computational requirements by caching similar features in the inference process of the diffusion model. In this paper, we analyze existing feature caching methods from the perspective of information utilization, and point out that relying solely on historical information will lead to constrained accuracy and speed performance. And we prop…

Weakly and Self-Supervised Class-Agnostic Motion Prediction for Autonomous Driving
Ruibo Li, Hanyu Shi, Zhe Wang, Guosheng Lin
https://arxiv.org/abs/2509.13116 https://

Weakly and Self-Supervised Class-Agnostic Motion Prediction for Autonomous Driving
Understanding motion in dynamic environments is critical for autonomous driving, thereby motivating research on class-agnostic motion prediction. In this work, we investigate weakly and self-supervised class-agnostic motion prediction from LiDAR point clouds. Outdoor scenes typically consist of mobile foregrounds and static backgrounds, allowing motion understanding to be associated with scene parsing. Based on this observation, we propose a novel weakly supervised paradigm that replaces motion…

SI-FACT: Mitigating Knowledge Conflict via Self-Improving Faithfulness-Aware Contrastive Tuning
Shengqiang Fu
https://arxiv.org/abs/2509.10208 https://arxi…

SI-FACT: Mitigating Knowledge Conflict via Self-Improving Faithfulness-Aware Contrastive Tuning
Large Language Models often generate unfaithful responses in knowledge intensive tasks due to knowledge conflict,that is,a preference for relying on internal parametric knowledge rather than the provided context.To address this issue,we propose a novel self improving framework,Self Improving Faithfulness Aware Contrastive Tuning.The framework uses a self instruct mechanism that allows the base LLM to automatically generate high quality,structured contrastive learning data,including anchor sampl…

MR6D: Benchmarking 6D Pose Estimation for Mobile Robots
Anas Gouda, Shrutarv Awasthi, Christian Blesing, Lokeshwaran Manohar, Frank Hoffmann, Alice Kirchheim
https://arxiv.org/abs/2508.13775

MR6D: Benchmarking 6D Pose Estimation for Mobile Robots
Existing 6D pose estimation datasets primarily focus on small household objects typically handled by robot arm manipulators, limiting their relevance to mobile robotics. Mobile platforms often operate without manipulators, interact with larger objects, and face challenges such as long-range perception, heavy self-occlusion, and diverse camera perspectives. While recent models generalize well to unseen objects, evaluations remain confined to household-like settings that overlook these factors. W…

Datarus-R1: An Adaptive Multi-Step Reasoning LLM for Automated Data Analysis
Ayoub Ben Chaliah, Hela Dellagi
https://arxiv.org/abs/2508.13382 https://arxiv…

Datarus-R1: An Adaptive Multi-Step Reasoning LLM for Automated Data Analysis
We present Datarus-R1-14B, a 14 B-parameter open-weights language model fine-tuned from Qwen 2.5-14B-Instruct to act as a virtual data analyst and graduate-level problem solver. Datarus is trained not on isolated question-answer pairs but on full analytical trajectories including reasoning steps, code execution, error traces, self-corrections, and final conclusions, all captured in a ReAct-style notebook format spanning finance, medicine, numerical analysis, and other quantitative domains. Our …

Curriculum Multi-Task Self-Supervision Improves Lightweight Architectures for Onboard Satellite Hyperspectral Image Segmentation
Hugo Carlesso, Josiane Mothe, Radu Tudor Ionescu
https://arxiv.org/abs/2509.13229

Curriculum Multi-Task Self-Supervision Improves Lightweight Architectures for Onboard Satellite Hyperspectral Image Segmentation
Hyperspectral imaging (HSI) captures detailed spectral signatures across hundreds of contiguous bands per pixel, being indispensable for remote sensing applications such as land-cover classification, change detection, and environmental monitoring. Due to the high dimensionality of HSI data and the slow rate of data transfer in satellite-based systems, compact and efficient models are required to support onboard processing and minimize the transmission of redundant or low-value data, e.g. cloud-…