Tootfinder

“The impact of the reforms — and 3rd Assault’s attitude toward the importance of training — is already being felt on the battlefield…”
https://newlinesmag.com/spotlight/inside-ukraines-plan-to-build-self-sufficient-defense-force/

Inside Ukraine’s Plan To Build a Self-Sufficient Defense Force
With Western security guarantees uncertain, Kyiv is turning to elite, battle-hardened units as the core of a remodeled military

I host my own Mastodon instance, and my (retired) blog.
https://www.xda-developers.com/self-hosting-digital-independence/

A profile of AI contractor marketplace Mercor, which is valued at $10B and whose three 22-year-old founders are Thiel Fellows, each holding a roughly 22% stake (Richard Nieva/Forbes)
http://www.forbes.com/sites/richardnieva/2025/10/30/mercor-younge…

These 22-Year-Olds Are Now The World’s Youngest Self-Made Billionaires
With a new $10 billion valuation for their AI recruiting startup Mercor, the founders are the youngest tech billionaires ever.

Your Agent May Misevolve: Emergent Risks in Self-evolving LLM Agents
Shuai Shao, Qihan Ren, Chen Qian, Boyi Wei, Dadi Guo, Jingyi Yang, Xinhao Song, Linfeng Zhang, Weinan Zhang, Dongrui Liu, Jing Shao
https://arxiv.org/abs/2509.26354

Your Agent May Misevolve: Emergent Risks in Self-evolving LLM Agents
Advances in Large Language Models (LLMs) have enabled a new class of self-evolving agents that autonomously improve through interaction with the environment, demonstrating strong capabilities. However, self-evolution also introduces novel risks overlooked by current safety research. In this work, we study the case where an agent's self-evolution deviates in unintended ways, leading to undesirable or even harmful outcomes. We refer to this as Misevolution. To provide a systematic investigation, …

Recursive Self-Aggregation Unlocks Deep Thinking in Large Language Models
Siddarth Venkatraman, Vineet Jain, Sarthak Mittal, Vedant Shah, Johan Obando-Ceron, Yoshua Bengio, Brian R. Bartoldson, Bhavya Kailkhura, Guillaume Lajoie, Glen Berseth, Nikolay Malkin, Moksh Jain
https://arxiv.org/abs/2509.26626…

Recursive Self-Aggregation Unlocks Deep Thinking in Large Language Models
Test-time scaling methods improve the capabilities of large language models (LLMs) by increasing the amount of compute used during inference to make a prediction. Inference-time compute can be scaled in parallel by choosing among multiple independent solutions or sequentially through self-refinement. We propose Recursive Self-Aggregation (RSA), a test-time scaling method inspired by evolutionary methods that combines the benefits of both parallel and sequential scaling. Each step of RSA refines…

MAS$^2$: Self-Generative, Self-Configuring, Self-Rectifying Multi-Agent Systems
Kun Wang, Guibin Zhang, ManKit Ye, Xinyu Deng, Dongxia Wang, Xiaobin Hu, Jinyang Guo, Yang Liu, Yufei Guo
https://arxiv.org/abs/2509.24323

MAS$^2$: Self-Generative, Self-Configuring, Self-Rectifying Multi-Agent Systems
The past two years have witnessed the meteoric rise of Large Language Model (LLM)-powered multi-agent systems (MAS), which harness collective intelligence and exhibit a remarkable trajectory toward self-evolution. This paradigm has rapidly progressed from manually engineered systems that require bespoke configuration of prompts, tools, roles, and communication protocols toward frameworks capable of automated orchestration. Yet, dominant automatic multi-agent systems, whether generated by extern…

New post on how to Unlock Composer Plugins by Self Hosting Renovate on GitHub Actions
https://blog.wyrihaximus.net/2025/10/unlock-composer-plugins-by-self-hosting-renovate/

Trying to read a self-described ‘A11y Blog’ and the font is a small, thin typeface that I find illegible on my phone. The good news is it saves me having to evaluate the quality of the content given it has self-selected into the “ignore” pile.

Heather Cox Richardson wrote on July 11, 2024
#Ivan #Raiklin, Trump’s
self-declared 👉“Secretary of Retribution”
has compiled a
💥“Deep State target list” 💥
of 350 people he wants to see arrested and punished for “treason”
The list includes Democratic and Republican elected officials,

July 11, 2024
Yesterday, Raw Story reported that Ivan Raiklin, Trump’s self-declared “Secretary of Retribution” has compiled a “Deep State target list” of 350 people he wants to see arrested and punished for “treason” if Trump is reelected.

Deconstructing Self-Bias in LLM-generated Translation Benchmarks
Wenda Xu, Sweta Agrawal, Vil\'em Zouhar, Markus Freitag, Daniel Deutsch
https://arxiv.org/abs/2509.26600 htt…

Deconstructing Self-Bias in LLM-generated Translation Benchmarks
As large language models (LLMs) begin to saturate existing benchmarks, automated benchmark creation using LLMs (LLM as a benchmark) has emerged as a scalable alternative to slow and costly human curation. While these generated test sets have to potential to cheaply rank models, we demonstrate a critical flaw. LLM generated benchmarks systematically favor the model that created the benchmark, they exhibit self bias on low resource languages to English translation tasks. We show three key finding…

Decided to actually start migrating stuff off of Github seriously. While I did move a few repos to Codeberg, I decided to just go with the whole self-hosted route and put the homelab to work by standing up my own Forgejo instance. Wasn't too bad, went with a Postgres database and the migration tool worked pretty well. So far so good...
https://<…

Fundamental limits to contrast reversal of self-fidelity correlations
Kyoungho Cho, Jeongho Bang
https://arxiv.org/abs/2509.26373 https://arxiv.org/pdf/250…

Fundamental limits to contrast reversal of self-fidelity correlations
In measurement design, it is common to engineer anti-contrast readouts -- two measurements that respond as differently as possible to the same inputs so that common-mode contributions are suppressed. To assess the fundamental scope of this strategy in unitary dynamics, we ask whether two evolutions can be made uniformly opposite over a broad input ensemble, or whether quantum mechanics imposes a structural limit on such opposition. We address this by treating self-fidelity (survival probability…

First eigenvalue and nodal domains of the drift Laplacian on symmetric self-shrinkers in $\mathbb{R}^3$
Elham Matinpour
https://arxiv.org/abs/2509.25617 https://

First eigenvalue and nodal domains of the drift Laplacian on symmetric self-shrinkers in $\mathbb{R}^3$
Consider $\mathbb{R}^3$ equipped with the Euclidean metric and the Gaussian measure. Let $Σ$ be a complete embedded self-shrinker in $\mathbb{R}^3$ with the induced metric and weighted measure, and let $λ_1$ denote the first eigenvalue of the drift Laplacian in the weighted $L^2$ space. Inspired by Choe and Soret's estimate of the first eigenvalue of the Laplacian on symmetric minimal surfaces in $\mathbb{S}^3$, we prove that $λ_1$= 1/2 for self-shrinkers invariant under the dihedral group $…

Healthy Lifestyles and Self-Improvement Videos on YouTube: A Thematic Analysis of Teen-Targeted Social Media Content
Kyuha Jung, Tyler Kim, Yunan Chen
https://arxiv.org/abs/2509.25537

Healthy Lifestyles and Self-Improvement Videos on YouTube: A Thematic Analysis of Teen-Targeted Social Media Content
As teenagers increasingly turn to social media for health-related information, understanding the values of teen-targeted content has become important. Although videos on healthy lifestyles and self-improvement are gaining popularity on social media platforms like YouTube, little is known about how these videos benefit and engage with teenage viewers. To address this, we conducted a thematic analysis of 44 YouTube videos and 66,901 comments. We found that these videos provide various advice on t…

Why a self-hosted blog and not Instagram? #bigtech

Why a self-hosted blog and not Instagram?
You may have asked yourself why we're self-hosting our own blog instead of publishing on social media to potentially reach a wider audience.

A minimal model of self-organized clusters with phase transitions in ecological communities
Shing Yan Li, Mehran Kardar, Zhijie Feng, Washington Taylor
https://arxiv.org/abs/2509.24985

A minimal model of self-organized clusters with phase transitions in ecological communities
In complex ecological communities, species may self-organize into clusters or clumps where highly similar species can coexist. The emergence of such species clusters can be captured by the interplay between neutral and niche theories. Based on the generalized Lotka-Volterra model of competition, we propose a minimal model for ecological communities in which the steady states contain self-organized clusters. In this model, species compete only with their neighbors in niche space through a common…

CSnake: Detecting Self-Sustaining Cascading Failure via Causal Stitching of Fault Propagations
Shangshu Qian, Lin Tan, Yongle Zhang
https://arxiv.org/abs/2509.26529 https://

CSnake: Detecting Self-Sustaining Cascading Failure via Causal Stitching of Fault Propagations
Recent studies have revealed that self-sustaining cascading failures in distributed systems frequently lead to widespread outages, which are challenging to contain and recover from. Existing failure detection techniques struggle to expose such failures prior to deployment, as they typically require a complex combination of specific conditions to be triggered. This challenge stems from the inherent nature of cascading failures, as they typically involve a sequence of fault propagations, each act…

Self-learning AI reveals NFL against the spread, over/under, money-line picks for every Week 5, 2025 game

https://www.cbssports.com/nfl/news/ai-nfl-picks-against-spread…

Andrew Forrest partners with Envision for self-lifting turbines, revolutionizing renewable energy in Australia. #climatechange #climatesolutions #climate

Andrew Forrest makes big bet on self-lifting turbines in landmark “real zero” deal with Envision
Andrew Forrest’s new wind deal signals the entry of a new “self lifting” technology and a new turbine supplier in the Australian market.

Point2RBox-v3: Self-Bootstrapping from Point Annotations via Integrated Pseudo-Label Refinement and Utilization
Teng Zhang, Ziqian Fan, Mingxin Liu, Xin Zhang, Xudong Lu, Wentong Li, Yue Zhou, Yi Yu, Xiang Li, Junchi Yan, Xue Yang
https://arxiv.org/abs/2509.26281

Point2RBox-v3: Self-Bootstrapping from Point Annotations via Integrated Pseudo-Label Refinement and Utilization
Driven by the growing need for Oriented Object Detection (OOD), learning from point annotations under a weakly-supervised framework has emerged as a promising alternative to costly and laborious manual labeling. In this paper, we discuss two deficiencies in existing point-supervised methods: inefficient utilization and poor quality of pseudo labels. Therefore, we present Point2RBox-v3. At the core are two principles: 1) Progressive Label Assignment (PLA). It dynamically estimates instance sizes…

Extreme Self-Preference in Language Models
Steven A. Lehr, Mary Cipperman, Mahzarin R. Banaji
https://arxiv.org/abs/2509.26464 https://arxiv.org/pdf/2509.2…

Extreme Self-Preference in Language Models
A preference for oneself (self-love) is a fundamental feature of biological organisms, with evidence in humans often bordering on the comedic. Since large language models (LLMs) lack sentience - and themselves disclaim having selfhood or identity - one anticipated benefit is that they will be protected from, and in turn protect us from, distortions in our decisions. Yet, across 5 studies and ~20,000 queries, we discovered massive self-preferences in four widely used LLMs. In word-association ta…

Self-driving cars: Are we there yet?
Merve Atasever, Zhuochen Liu, Qingpei Li, Akshay Hitendra Shah, Hans Walker, Jyotirmoy V. Deshmukh, Rahul Jain
https://arxiv.org/abs/2509.22754

Self-driving cars: Are we there yet?
Autonomous driving remains a highly active research domain that seeks to enable vehicles to perceive dynamic environments, predict the future trajectories of traffic agents such as vehicles, pedestrians, and cyclists and plan safe and efficient future motions. To advance the field, several competitive platforms and benchmarks have been established to provide standardized datasets and evaluation protocols. Among these, leaderboards by the CARLA organization and nuPlan and the Waymo Open Dataset …

Closure Relations of Synchrotron Self-Compton from Reverse shock and Fermi-LAT GRBs
Nissim Fraija, B. Betancourt Kamenetskaia, Antonio Galv\'an G\'amez, Maria G. Dainotti, Hermes Le\'on Vargas
https://arxiv.org/abs/2509.23345

Closure Relations of Synchrotron Self-Compton from Reverse shock and Fermi-LAT GRBs
Synchrotron radiation from the reverse- and forward-shock regions typically describes the evolution of temporal and spectral features given by the closure relations (CRs) during the late and long-/short-lasting emission in the afterglow phase of Gamma-ray bursts (GRBs). Although synchrotron photons are restricted to keV and a few MeV energies, the synchrotron self-Compton (SSC) mechanism can disperse them above hundreds of MeV energies. We present the CRs of the SSC process radiated from the re…

Consciousness Self and Language
Robert Worden
https://arxiv.org/abs/2509.23342 https://arxiv.org/pdf/2509.23342

Consciousness Self and Language
Theories of consciousness depend on data, and it needs to be appropriate data, without overwhelming confounding factors. The reports of Minimal Phenomenal Experience (MPE) in [Metzinger 2024] relate to consciousness in a state purer than everyday consciousness, which may have fewer confounding factors. This essay suggests that the confounding factors, which are absent or diminished in MPE states, are related to language. The self which is absent in mindful states is a product of language. The l…

Assessing Self-Absorbed Molecular Lines as Tracers of Gravitational Collapse
Lillian Y. Cai (School of Physics and Astronomy, Cardiff University, Department of Astrophysical Sciences, Princeton University), Felix D. Priestley (School of Physics and Astronomy, Cardiff University), Sarah E. Ragan (School of Physics and Astronomy, Cardiff University)
https://

Assessing Self-Absorbed Molecular Lines as Tracers of Gravitational Collapse
Redshifted self-absorption features in molecular lines are commonly interpreted as signatures of gravitational collapse in pre- and protostellar cores. The shape of the line profile then encodes information on the dynamics of the collapse. There exist well-established observational techniques to estimate infall velocities from these profiles, but these have historically been calibrated on constant-velocity slab models, whereas more realistic simulations of gravitational collapse produce highly …

Geometric Frustration Directs the Self-Assembly of Nanoparticles with Crystallized Ligand Bundles
Federico Tomazic, Aswathy Muttathukattil, Afshin Nabiyan, Felix Schacher, Michael Engel
https://arxiv.org/abs/2509.23337

Geometric Frustration Directs the Self-Assembly of Nanoparticles with Crystallized Ligand Bundles
Polymer-grafted nanoparticles are versatile building blocks that self-assemble into a rich diversity of mesostructures. Coarse-grained molecular simulations have commonly accompanied experiments by resolving structure formation pathways and predicting phase behavior. Past simulations represented nanoparticles as spheres and the ligands as flexible chains of beads, isotropically tethered to the nanoparticles. Here, we investigate a different minimal coarse-grained model. The model consists of an…

Geometric structure of stationary problem for spatial 1D self-diffusion equation with logistic growth
Yu ICHIDA
https://arxiv.org/abs/2509.24752 https://ar…

Geometric structure of stationary problem for spatial 1D self-diffusion equation with logistic growth
This paper considers the solution structure of non-trivial, non-constant stationary states of 1D spatial parabolic equations with nonlinear self-diffusion and logistic growth terms. A two-dimensional ordinary differential equation satisfying the stationary problem is derived and all its dynamics, including to infinity, is revealed by the Poincaré-Lyapunov compactification, one of the compactifications of phase space. The advantage of this method is that it can be used to classify all dynamical…

Fighting the self-destructive urge to buy a Saab over the Internet from across the country

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

On the Capacity of Self-Attention
Micah Adler
https://arxiv.org/abs/2509.22840 https://arxiv.org/pdf/2509.22840

On the Capacity of Self-Attention
While self-attention is known to learn relations among tokens, we lack a formal understanding of its capacity: how many distinct relations can a single layer reliably recover for a given budget? To formalize this, we introduce Relational Graph Recognition (RGR), where the key-query channel represents a graph on $m$ items with $m'$ directed edges, and, given a context of items, must recover the neighbors of each item. We measure resources by the total key dimension $D_K = h\,d_k$. Within this …

Self-supervised learning for phase retrieval
Victor Sechaud (Phys-ENS), Patrice Abry (Phys-ENS), Laurent Jacques (ICTEAM), Juli\'an Tachella (Phys-ENS, CNRS)
https://arxiv.org/abs/2509.26203

Self-supervised learning for phase retrieval
In recent years, deep neural networks have emerged as a solution for inverse imaging problems. These networks are generally trained using pairs of images: one degraded and the other of high quality, the latter being called 'ground truth'. However, in medical and scientific imaging, the lack of fully sampled data limits supervised learning. Recent advances have made it possible to reconstruct images from measurement data alone, eliminating the need for references. However, these methods remain l…

Vibe.co, a self-serve platform for businesses to run targeted ads on streaming services, raised a $50M Series B led by Hedosophia at a $410M valuation (Daphné Leprince-Ringuet/Sifted)
https://sifted.eu/articles/vibe-co-50m-series-b-nik-storonsky-quantumlight/

🇺🇦 #NowPlaying on KEXP's #VarietyMix
Yalla Miku:
🎵 Maximum Self-Care
#YallaMiku
https://yallamiku.bandcamp.com/track/maximum-self-care
https://open.spotify.com/track/1faaEMR5x5dZuB8x9Rs8br

Long but very good:
"An essay on wank"
It names and identifies one of my least favorite genre of posts – finally I have a proper term for it!
I'm sure I've been guilty of it too in the past, so it's useful for self-regulation, too.
https://deadsimpletech.com/blog/essay_

Cardinals Cover 2 - Self-Scouting Complete, So What Will It Look Like https://www.azcardinals.com/podcasts/cardinals-cover-2-self-scouting-complete-so-what-will-it-look-like

LatentEvolve: Self-Evolving Test-Time Scaling in Latent Space
Guibin Zhang, Fanci Meng, Guancheng Wan, Zherui Li, Kun Wang, Zhenfei Yin, Lei Bai, Shuicheng Yan
https://arxiv.org/abs/2509.24771

LatentEvolve: Self-Evolving Test-Time Scaling in Latent Space
Test-time Scaling (TTS) has been demonstrated to significantly enhance the reasoning capabilities of Large Language Models (LLMs) during the inference phase without altering model parameters. However, existing TTS methods are largely independent, implying that LLMs have not yet evolved to progressively learn how to scale more effectively. With the objective of evolving LLMs to learn ``how to scale test-time computation,'' we propose LatentEvolve, a self-evolving latent TTS framework inspired by…

You know, Parliament could amend the Canada Post Corporation Act, removing "the need to conduct its operations on a self-sustaining financial basis." It won't, but it could.
#cdnpoli #CanadaPost

#NowPlaying this rad, ripping new self-titled EP by Reading, Pennsylvania's WEALTH GAP. I love raw, lo-fi punk shit like this. I kinda hear like, Circle Jerks or Black Flag some Descendents? Damn solid
https://wealthgap.bandcam…

Robotaxis are so safe that California police haven't written them a single ticket. https://apnews.com/article/waymo-no-driver-traffic-ticket-0a0dffb19bf38c5ee85681a6f83591ff

Police in Northern California stop driverless Waymo taxi after illegal U-turn
Police in Northern California pulled over a self-driving Waymo taxi after it made an illegal U-turn. But without a driver behind the wheel, they could not issue a moving violation ticket. The San Bruno Police Department wrote up the weekend encounter in social media posts that have gone viral. Police said that their “citation books don’t have a box for ‘robot’.” State law requires moving violations be issued to drivers or operators. A new state law that kicks in next year will allow l…

RE: https://mstdn.social/@DemocracyMattersALot/115646177502527147
So this admiral, according to Leavitt, ordered helpless people , hanging on the side of the boat after the first strike, to be killed in "self-defense".....

Instead of strategy, Trump delivered his usual medley of grievances: Obama ruined everything, Biden ruined it twice as hard, and only Donald J. Trump, self-proclaimed “two-term, maybe three-term president” could save America.
 
It was less a military briefing than an episode of The Apprentice: Pentagon Edition. The generals, trained to withstand battlefield chaos, sat stone-faced through the barrage of nonsense. They have endured artillery fire with more enthusiasm. 2/3

Soul Loom
Stories and reflections for sensitive souls navigating change, healing, and self-reconnection...
Great Australian Pods Podcast Directory: https://www.greataustralianpods.com/soul-loom/

Self-hosting is becoming popular among a certain kind of user,
-- say the typical readership of ItsFoss.
There is a simple explanation for this shift:
people want their data, dollars, and destiny back.
Centralized platforms optimized for engagement and extraction are colliding with real-world needs
— privacy, compliance, predictability, and craft.
Linux, containers, and a flood of polished open-source apps have turned what used to be an enthusiast’s pro…

Self-Hosting is Rising and Linux Users are Leading This Revolution
Self‑hosting isn’t anti‑cloud; it’s pro‑agency. It’s choosing the right locus of control for the things you care about.

Just finished "Juliet Takes a Breath" by Gabby Rivera. A truly amazing novel about queer Latina feminist self-discovery which shows off a vibrant range of feminisms and their contradictions. Reminded me of "Does my Body Offend You?" in terms of how it uses fictional but realistic situations to really grapple deeply with feminist and queer theory while making everything very accessible and direct.
The plotting, pacing, and characters are great, and Juliet serves as a vibrant and active main character rather than just a lens through which to explore theory.
#AmReading #ReadingNow

Testing the Impact of Planet-stirring, Self-stirring, and Mixed-stirring on Debris Disc Architecture: A Case Study of HD 16743
Jonathan P. Marshall, Marco A. Mu\~noz-Guti\'errez, Antranik A. Sefilian, Antonio Peimbert
https://arxiv.org/abs/2509.22822

Testing the Impact of Planet-stirring, Self-stirring, and Mixed-stirring on Debris Disc Architecture: A Case Study of HD 16743
Dynamical interactions between planets and debris discs can excite the orbits of embedded planetesimals to such a degree that a collisional cascade is triggered, generating detectable amounts of dust. Millimetre wavelength observations are sensitive to emission from large and cold dust grains, which are unperturbed by radiation forces and act as a proxy for the location of the planetesimals. The influence of unseen planetary companions on debris discs can be inferred with high-resolution imagin…

I think that "wank" expresses how I feel about listening to Trump et al. It's all self-pleasure done publicly as a dominance display. Disgusting on all levels. https://bsky.brid.gy/r/https://bsky.app/profile/did:plc:vztgtyyp4lhhqmto…

Iris Meredith (@iris-meredith.bsky.social)
Today's article is about a form of bad-faith speech somewhat akin to bullshit, which I'm calling (because why not) wank. I don't quite think I've focused the ideas down as much as I can, but I think it says some interesting things regardless: https://deadsimpletech.com/blog/essay_on_redacted

Network Traffic Classification Using Self-Supervised Learning and Confident Learning
Ehsan Eslami, Walaa Hamouda
https://arxiv.org/abs/2509.23522 https://a…

Network Traffic Classification Using Self-Supervised Learning and Confident Learning
Network traffic classification (NTC) is vital for efficient network management, security, and performance optimization, particularly with 5G/6G technologies. Traditional methods, such as deep packet inspection (DPI) and port-based identification, struggle with the rise of encrypted traffic and dynamic port allocations. Supervised learning methods provide viable alternatives but rely on large labeled datasets, which are difficult to acquire given the diversity and volume of network traffic. Mean…

ASTROCO: Self-Supervised Conformer-Style Transformers for Light-Curve Embeddings
Antony Tan, Pavlos Protopapas, Martina C\'adiz-Leyton, Guillermo Cabrera-Vives, Cristobal Donoso-Oliva, Ignacio Becker
https://arxiv.org/abs/2509.24134

ASTROCO: Self-Supervised Conformer-Style Transformers for Light-Curve Embeddings
We present AstroCo, a Conformer-style encoder for irregular stellar light curves. By combining attention with depthwise convolutions and gating, AstroCo captures both global dependencies and local features. On MACHO R-band, AstroCo outperforms Astromer v1 and v2, yielding 70 percent and 61 percent lower error respectively and a relative macro-F1 gain of about 7 percent, while producing embeddings that transfer effectively to few-shot classification. These results highlight AstroCo's potential a…

"Having Lunch Now": Understanding How Users Engage with a Proactive Agent for Daily Planning and Self-Reflection
Adnan Abbas, Caleb Wohn, Arnav Jagtap, Eugenia H Rho, Sang Won Lee
https://arxiv.org/abs/2509.24073

"Having Lunch Now": Understanding How Users Engage with a Proactive Agent for Daily Planning and Self-Reflection
Conversational agents have been studied as tools to scaffold planning and self-reflection for productivity and well-being. While prior work has demonstrated positive outcomes, we still lack a clear understanding of what drives these results and how users behave and communicate with agents that act as coaches rather than assistants. Such understanding is critical for designing interactions in which agents foster meaningful behavioral change. We conducted a 14-day longitudinal study with 12 parti…

🔐 UK phone retailers lock shop doors while trading to tackle rising thefts
https://www.theguardian.com/business/2025/sep/06/phone-retailers-lock-doors-tackle-rising-thefts

The role of the solid-melt interface in accelerating the self-catalyzed growth kinetics of III-V semiconductors
Zhucong Xi, Abby Liu, Xiaobo Chen, Meng Li, Dmitri N. Zakharov, Judith C. Yang, Rachel S. Goldman, Liang Qi
https://arxiv.org/abs/2509.24206

The role of the solid-melt interface in accelerating the self-catalyzed growth kinetics of III-V semiconductors
Solid-melt interfaces play a pivotal role in governing crystal growth and metal-mediated epitaxy of gallium nitride (GaN) and other semiconductor materials. Using atomistic simulations based on machine-learning interatomic potentials (MLIPs), we uncover that multiple layers of Ga atoms at the GaN-Ga melt interface form structurally ordered and electronically charged configurations that are critical for the growth kinetics of GaN. These ordered layers modulate the free energy landscape (FEL) for…

Symmetry of concentration and scaling for self-bounding functions
George Crowley, I\~naki Esnaola
https://arxiv.org/abs/2509.22375 https://arxiv.org/pdf/25…

Symmetry of concentration and scaling for self-bounding functions
We prove generalised concentration inequalities for a class of scaled self-bounding functions of independent random variables, referred to as ${(M,a,b)}$ self-bounding. The scaling refers to the fact that the component-wise difference is upper bounded by an arbitrary positive real number $M$ instead of the case $M=1$ previously considered in the literature. Using the entropy method, we derive symmetric bounds for both the upper and lower tails, and study the tightness of the proposed bounds. Ou…

ChromRec: Directional Recognition-Driven Self-Assembly of Histone Octamer and Chromatin Fiber
Hesam Arabzadeh, Dmitri Kireev
https://arxiv.org/abs/2509.24970 https://

ChromRec: Directional Recognition-Driven Self-Assembly of Histone Octamer and Chromatin Fiber
Understanding chromatin dynamics across multiple spatiotemporal scales requires models that reconcile biological specificity with physics-based interactions and computational tractability. We present a modular, recognition-enabled ultra-coarse-grained (UCG) framework that captures both histone-DNA and histone-histone interactions using site-specific, off-center Recognition potentials. These recognition sites, combined with generic attractive and repulsive terms, encode directional and stoichiom…

Sonnet 110 - CX
Alas! 'tis true, I have gone here and there,
And made my self a motley to the view,
Gored mine own thoughts, sold cheap what is most dear,
Made old offences of affections new;
Most true it is, that I have looked on truth
Askance and strangely; but, by all above,
These blenches gave my heart another youth,
And worse essays proved thee my best of love.
Now all is done, have what shall have no end:
Mine appetite I n…

Broncos vs. Commanders NFL player props, SGP: Self-learning AI backs Bo Nix Over 226.5 passing yards on 'SNF'

https://www.cbssports.com/nfl/news/broncos-command…

Coassociative structures on self-injective algebras
Alexandru Chirvasitu
https://arxiv.org/abs/2509.21435 https://arxiv.org/pdf/2509.21435

Coassociative structures on self-injective algebras
For general finite-dimensional self-injective algebra $A$ we construct a family of injective coassociative coproducts $A\to A\otimes A$, all $A$-bimodule morphisms. In particular such structures always exist, confirming a conjecture of Hernandez, Walton and Yadav. The coproducts are indexed by subsets of $\{1,\cdots,m(i)\}\times \{1,\cdots,m(ν^{-1}i)\}$, where $A\cong \mathrm{End}_Λ(M)$ is the general form of a self-injective algebra in terms of a basic Frobenius $Λ$, the $m(i)$, $1\le i\le …

Axial resolution post-processing engineering in Fresnel incoherent correlation holography
Shivasubramanian Gopinath, Joseph Rosen, Vijayakumar Anand
https://arxiv.org/abs/2509.26179

Axial resolution post-processing engineering in Fresnel incoherent correlation holography
Fresnel incoherent correlation holography (FINCH) is a self-interference-based incoherent digital holography method. In FINCH, light from an object point is split into two beams, modulated differently using two lenses with different focal distances, and creates a self-interference hologram. At least three phase-shifted holograms are recorded and synthesized into a complex hologram, which reconstructs the object image without twin image and bias noises. Compared with conventional imaging, FINCH …

SafeEvalAgent: Toward Agentic and Self-Evolving Safety Evaluation of LLMs
Yixu Wang, Xin Wang, Yang Yao, Xinyuan Li, Yan Teng, Xingjun Ma, Yingchun Wang
https://arxiv.org/abs/2509.26100

SafeEvalAgent: Toward Agentic and Self-Evolving Safety Evaluation of LLMs
The rapid integration of Large Language Models (LLMs) into high-stakes domains necessitates reliable safety and compliance evaluation. However, existing static benchmarks are ill-equipped to address the dynamic nature of AI risks and evolving regulations, creating a critical safety gap. This paper introduces a new paradigm of agentic safety evaluation, reframing evaluation as a continuous and self-evolving process rather than a one-time audit. We then propose a novel multi-agent framework SafeE…

If you believed techbros any time in the last quarter century, we’d be ferried around in self-driving cars that never need to be recharged on a Mars colony right now, while occasionally popping a pill to stay 25 forever and getting a foot massage (or other things) from a robot.
Why do people believe the techbros about AI now?

Bloody Sunday: Government spent over £4m on Soldier F case
https://share.google/lI7OO5pkDz9xpi6eG
The British gov. has now spent 4M and 53 years defending a self-confessed killer for an atrocity it paid for, which it investigated and publicly announced as unjustified and unjustifiable.
…

Bloody Sunday: Government spent over £4m on Soldier F case
David Johnstone says he found it "incredulous that there is this level of point scoring" following the trial.

China's Global Digital Trade Expo in Hangzhou showcased robots, EVs, and a self-driving yacht, but questions remain over the US-China trade dispute and profits (Andrew Higgins/New York Times)
https://www.nytimes.com/2025/10/01/world/asia/china-tech-trade.html…

A Tech Expo Shows What China Can Make, but Not Who’ll Buy It All
The vast Global Digital Trade Expo in Hangzhou stood as a rebuke to U.S. efforts to hem in China’s technology. But the real competition is internal, and profits are hard to find.

Self-avoiding fluid deformable surfaces
Maik Porrmann, S\"oren Bartels, Axel Voigt
https://arxiv.org/abs/2509.22110 https://arxiv.org/pdf/2509.22110…

Self-avoiding fluid deformable surfaces
We propose a numerical method for fluid deformable surfaces governed by surface Stokes flow and Helfrich bending energy under active growth, aiming to model shape evolution of the epithelium in developmental processes. To prevent self-intersections, which commonly arise under large deformations or low enclosed volume to area ratios, we incorporate the nonlocal tangent-point energy to penalize non-embedded configurations. The resulting formulation is discretized using higher order surface finite…

Non-local edge mode hybridization in the long-range interacting Kitaev chain
David Haink, Andreas A. Buchheit, Benedikt Fauseweh
https://arxiv.org/abs/2509.26447 https://…

Non-local edge mode hybridization in the long-range interacting Kitaev chain
In one-dimensional p-wave superconductors with short-range interactions, topologically protected Majorana modes emerge, whose mass decays exponentially with system size, as first shown by Kitaev. In this work, we extend this prototypical model by including power law long-range interactions within a self-consistent framework, leading to the self-consistent long-range Kitaev chain (seco-LRKC). In this model, the gap matrix acquires a rich structure where short-range superconducting correlations c…

🗞️ I just pressed 'go' on my September newsletter.
You can find it online here: #newsletter

Structural and Compositional Complexities of Hierarchical Self-Assembly: a Hypergraph Approach
Alexei V. Tkachenko
https://arxiv.org/abs/2509.26449 https://

Structural and Compositional Complexities of Hierarchical Self-Assembly: a Hypergraph Approach
Programmable self-assembly enables the construction of complex molecular, supramolecular, and crystalline architectures from well-designed building blocks. Here we introduce a hypergraph-based framework, termed Blocks \& Bonds (B\&B), that extends classical chemical graph theory to encode directed multi-colored interactions, internal symmetries of building blocs, and hierarchical organization. Within this framework, we develop a universal script, Structure Code, for encoding complex hypergraph …

DeepProv: Behavioral Characterization and Repair of Neural Networks via Inference Provenance Graph Analysis
Firas Ben Hmida, Abderrahmen Amich, Ata Kaboudi, Birhanu Eshete
https://arxiv.org/abs/2509.26562

DeepProv: Behavioral Characterization and Repair of Neural Networks via Inference Provenance Graph Analysis
Deep neural networks (DNNs) are increasingly being deployed in high-stakes applications, from self-driving cars to biometric authentication. However, their unpredictable and unreliable behaviors in real-world settings require new approaches to characterize and ensure their reliability. This paper introduces DeepProv, a novel and customizable system designed to capture and characterize the runtime behavior of DNNs during inference by using their underlying graph structure. Inspired by system a…

cora: CORA citations (1998)
Citations among papers indexed by CORA, from 1998, an early computer science research paper search engine. 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. The dates of these snapshots are uncertain.
This network has 23166 nodes and 91500 edges.
Tags: Informational, Citation, Unweighted

Bridging the behavior-neural gap: A multimodal AI reveals the brain's geometry of emotion more accurately than human self-reports
Changde Du, Yizhuo Lu, Zhongyu Huang, Yi Sun, Zisen Zhou, Shaozheng Qin, Huiguang He
https://arxiv.org/abs/2509.24298

Bridging the behavior-neural gap: A multimodal AI reveals the brain's geometry of emotion more accurately than human self-reports
The ability to represent emotion plays a significant role in human cognition and social interaction, yet the high-dimensional geometry of this affective space and its neural underpinnings remain debated. A key challenge, the `behavior-neural gap,' is the limited ability of human self-reports to predict brain activity. Here we test the hypothesis that this gap arises from the constraints of traditional rating scales and that large-scale similarity judgments can more faithfully capture the brain'…

CCNeXt: An Effective Self-Supervised Stereo Depth Estimation Approach
Alexandre Lopes, Roberto Souza, Helio Pedrini
https://arxiv.org/abs/2509.22627 https://

CCNeXt: An Effective Self-Supervised Stereo Depth Estimation Approach
Depth Estimation plays a crucial role in recent applications in robotics, autonomous vehicles, and augmented reality. These scenarios commonly operate under constraints imposed by computational power. Stereo image pairs offer an effective solution for depth estimation since it only needs to estimate the disparity of pixels in image pairs to determine the depth in a known rectified system. Due to the difficulty in acquiring reliable ground-truth depth data across diverse scenarios, self-supervis…

Monday Night Football NFL player props: Self-learning AI backs Jake Browning Over 219.5 passing yards

https://www.cbssports.com/nfl/news/monday-

One-DoF Robotic Design of Overconstrained Limbs with Energy-Efficient, Self-Collision-Free Motion
Yuping Gu, Bangchao Huang, Haoran Sun, Ronghan Xu, Jiayi Yin, Wei Zhang, Fang Wan, Jia Pan, Chaoyang Song
https://arxiv.org/abs/2509.22002

One-DoF Robotic Design of Overconstrained Limbs with Energy-Efficient, Self-Collision-Free Motion
While it is expected to build robotic limbs with multiple degrees of freedom (DoF) inspired by nature, a single DoF design remains fundamental, providing benefits that include, but are not limited to, simplicity, robustness, cost-effectiveness, and efficiency. Mechanisms, especially those with multiple links and revolute joints connected in closed loops, play an enabling factor in introducing motion diversity for 1-DoF systems, which are usually constrained by self-collision during a full-cycle…

Pony.ai becomes the first company to receive a citywide robotaxi permit for Shenzhen, allowing self-driving taxis to operate beyond pilot zones (Evelyn Cheng/CNBC)
https://www.cnbc.com/2025/10/31/chinas-ponyai-gets-the-first-permit-fo…

Pony.ai becomes first to win citywide robotaxi permit in China's Silicon Valley
Pony.ai said it is the first company to get a permit to operate taxis across all of the Chinese city of Shenzhen on the border of Hong Kong.

Co-SOM: Co-training for photometric redshift estimation using Self-Organizing Maps
Alvaro Callejas-Tavera, Erik Molino-Minero-Re, Octavio Valenzuela
https://arxiv.org/abs/2509.25366

Co-SOM: Co-training for photometric redshift estimation using Self-Organizing Maps
The upcoming galaxy large-scale surveys, such as the Vera C. Rubin Observatory's Legacy Survey of Space and Time (LSST), will generate photometry for billions of galaxies. The interpretation of large-scale weak lensing maps, as well as the estimation of galaxy clustering, requires reliable redshifts with high precision for multi-band photometry. However, obtaining spectroscopy for billions of galaxies is impractical and complex; therefore, having a sufficiently large number of galaxies with spe…

Learning the Neighborhood: Contrast-Free Multimodal Self-Supervised Molecular Graph Pretraining
Boshra Ariguib, Mathias Niepert, Andrei Manolache
https://arxiv.org/abs/2509.22468

Learning the Neighborhood: Contrast-Free Multimodal Self-Supervised Molecular Graph Pretraining
High-quality molecular representations are essential for property prediction and molecular design, yet large labeled datasets remain scarce. While self-supervised pretraining on molecular graphs has shown promise, many existing approaches either depend on hand-crafted augmentations or complex generative objectives, and often rely solely on 2D topology, leaving valuable 3D structural information underutilized. To address this gap, we introduce C-FREE (Contrast-Free Representation learning on Ego…

1-GHz VIS-to-MIR frequency combs enabled by CMOS-compatible nanophotonic waveguides
Xuan Zhang, Yuchen Wang, Junguo Xu, Guangzi Feng, Xia Hou, Qiankun Li, Xueying Sun, Yongyuan Chu, Chengbo Mou, Hairun Guo, Sida Xing
https://arxiv.org/abs/2509.23704

1-GHz VIS-to-MIR frequency combs enabled by CMOS-compatible nanophotonic waveguides
A fully stabilized frequency comb is essential for precision metrology and coherent optical synthesis. However, fully-stabilized frequency combs generally require separate stages for supercontinuum generation (SCG) and self-referencing, largely limiting their compactness. Here, enabled by the low-threshold multi-octave supercontinuum generation and concurrent third-harmonic generation in low-loss silicon nitride waveguides, we present a novel approach to a self-referenced frequency comb source …

Interpretable Spectral Features Predict Conductivity in Self-Driving Doped Conjugated Polymer Labs
Ankush Kumar Mishra, Jacob P. Mauthe, Nicholas Luke, Aram Amassian, Baskar Ganapathysubramanian
https://arxiv.org/abs/2509.21330

Interpretable Spectral Features Predict Conductivity in Self-Driving Doped Conjugated Polymer Labs
Self-driving labs (SDLs) promise faster materials discovery by coupling automation with machine learning, but a central challenge is predicting costly, slow-to-measure properties from inexpensive, automatable readouts. We address this for doped conjugated polymers by learning interpretable spectral fingerprints from optical spectroscopy to predict electrical conductivity. Optical spectra are fast, non-destructive, and sensitive to aggregation and charge generation; we automate their featurizati…

Probing phase transitions in non-Hermitian systems with quantum entanglement
Ling-Feng Zhang, Wing Chi Yu
https://arxiv.org/abs/2509.25703 https://arxiv.or…

Probing phase transitions in non-Hermitian systems with quantum entanglement
We study the quantum entanglement and quantum phase transition of the non-Hermitian anisotropic spin-1/2 XY model and XXZ model with the staggered imaginary field by analytical methods and numerical exact diagonalization, respectively. Various entanglement measures, including concurrence, negativity, mutual information, and quantum coherence, and both biorthogonal and self-normal quantities are investigated. Both the biorthogonal and self-normal entanglement quantities, except the biorthogonal …

Entropy rates in the dimension theory of self-similar measures
P\'eter P. Varj\'u
https://arxiv.org/abs/2509.22042 https://arxiv.org/pdf/2509.22042…

Entropy rates in the dimension theory of self-similar measures
This is a survey paper on the dimension theory of self-similar measures focusing on the role of entropy rates.

Self-organized adaptive branching in frangible matter
P. L. B. Fischer, J. Tauber, T. Koch, L. Mahadevan
https://arxiv.org/abs/2509.26101 https://arxiv.org…

Self-organized adaptive branching in frangible matter
Soft and frangible materials that remodel under flow can give rise to branched patterns shaped by material properties, boundary conditions, and the time scales of forcing. We present a general theoretical framework for emergent branching in these frangible (or threshold) materials that switch abruptly from resisting flow to permitting flow once local stresses exceed a threshold, relevant for ex- amples as varied as dielectric breakdown of insulators and the erosion of soft materials. Simulation…

SSVIF: Self-Supervised Segmentation-Oriented Visible and Infrared Image Fusion
Zixian Zhao, Xingchen Zhang
https://arxiv.org/abs/2509.22450 https://arxiv.o…

SSVIF: Self-Supervised Segmentation-Oriented Visible and Infrared Image Fusion
Visible and infrared image fusion (VIF) has gained significant attention in recent years due to its wide application in tasks such as scene segmentation and object detection. VIF methods can be broadly classified into traditional VIF methods and application-oriented VIF methods. Traditional methods focus solely on improving the quality of fused images, while application-oriented VIF methods additionally consider the performance of downstream tasks on fused images by introducing task-specific lo…

Cowboys vs. Packers NFL player props: Self-Learning AI backing Jordan Love under 234.5 passing yards on SNF

https://www.cbssports.com/nfl/news/cowboys

"In my defense, only three hours on Instagram": Designing Toward Digital Self-Awareness and Wellbeing
Karthik S. Bhat, Jiayue Melissa Shi, Wenxuan Song, Dong Whi Yoo, Koustuv Saha
https://arxiv.org/abs/2509.21860

"In my defense, only three hours on Instagram": Designing Toward Digital Self-Awareness and Wellbeing
Screen use pervades daily life, shaping work, leisure, and social connections while raising concerns for digital wellbeing. Yet, reducing screen time alone risks oversimplifying technology's role and neglecting its potential for meaningful engagement. We posit self-awareness -- reflecting on one's digital behavior -- as a critical pathway to digital wellbeing. We developed WellScreen, a lightweight probe that scaffolds daily reflection by asking people to estimate and report smartphone use. In …

Optimizing Speech Language Models for Acoustic Consistency
Morteza Rohanian, Michael Krauthammer
https://arxiv.org/abs/2509.26276 https://arxiv.org/pdf/250…

Optimizing Speech Language Models for Acoustic Consistency
We study speech language models that incorporate semantic initialization and planning losses to achieve robust and consistent generation. Our approach initializes speech tokens with self-supervised features, applies a light alignment loss, and trains with thinning and auxiliary objectives that target robustness and content planning. We train three models: a 0.7B speech-only model, a 1.0B speech-only model, and a 1.0B interleaved model with both text and speech. Acoustic studies show that the sp…

A DNA-encoded recipe to direct multi-stage colloidal assembly
Pepijn G. Moerman, Chenghung Chou, Thomas E. Videb{\ae}k, W. Benjamin Rogers, Rebecca Schulman
https://arxiv.org/abs/2509.23440

A DNA-encoded recipe to direct multi-stage colloidal assembly
In equilibrium self-assembly, microscopic building blocks spontaneously self-organize into stable structures as dictated by their interaction potentials, which limits the accessible structural features to those that correspond to global minima in free energy landscapes; they are often ordered and periodic on length scales comparable to the building block size. Coupling the assembly process to an exergonic reaction drives the system out of equilibrium so that an assembly pathway can be engineere…

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

InfiAgent: Self-Evolving Pyramid Agent Framework for Infinite Scenarios
Chenglin Yu, Yang Yu, Songmiao Wang, Yucheng Wang, Yifan Yang, Jinjia Li, Ming Li, Hongxia Yang
https://arxiv.org/abs/2509.22502 …

InfiAgent: Self-Evolving Pyramid Agent Framework for Infinite Scenarios
Large Language Model (LLM) agents have demonstrated remarkable capabilities in organizing and executing complex tasks, and many such agents are now widely used in various application scenarios. However, developing these agents requires carefully designed workflows, carefully crafted prompts, and iterative tuning, which requires LLM techniques and domain-specific expertise. These hand-crafted limitations hinder the scalability and cost-effectiveness of LLM agents across a wide range of industrie…

Learn the Ropes, Then Trust the Wins: Self-imitation with Progressive Exploration for Agentic Reinforcement Learning
Yulei Qin, Xiaoyu Tan, Zhengbao He, Gang Li, Haojia Lin, Zongyi Li, Zihan Xu, Yuchen Shi, Siqi Cai, Renting Rui, Shaofei Cai, Yuzheng Cai, Xuan Zhang, Sheng Ye, Ke Li, Xing Sun
https://arxiv.org/abs/2509.22601

Learn the Ropes, Then Trust the Wins: Self-imitation with Progressive Exploration for Agentic Reinforcement Learning
Reinforcement learning (RL) is the dominant paradigm for sharpening strategic tool use capabilities of LLMs on long-horizon, sparsely-rewarded agent tasks, yet it faces a fundamental challenge of exploration-exploitation trade-off. Existing studies stimulate exploration through the lens of policy entropy, but such mechanical entropy maximization is prone to RL training instability due to the multi-turn distribution shifting. In this paper, we target the progressive exploration-exploitation bala…

OpenAI launches new ChatGPT parental safety controls for users aged 13 to 18, including parental and law enforcement alerts for chats about self-harm or suicide (Reece Rogers/Wired)
https://www.wired.com/story/openai-teen-safety-tools-chatgpt-parents-s…

OpenAI Adds Parental Safety Controls for Teen ChatGPT Users. Here’s What to Expect
OpenAI’s review process for teenage ChatGPT users who are flagged for suicidal ideation includes human moderators. Parents can expect an alert about alarming prompts within hours.

Scaling Spoken Language Models with Syllabic Speech Tokenization
Nicholas Lee, Cheol Jun Cho, Alan W Black, Gopala K. Anumanchipalli
https://arxiv.org/abs/2509.26634 https://

Scaling Spoken Language Models with Syllabic Speech Tokenization
Spoken language models (SLMs) typically discretize speech into high-frame-rate tokens extracted from SSL speech models. As the most successful LMs are based on the Transformer architecture, processing these long token streams with self-attention is expensive, as attention scales quadratically with sequence length. A recent SSL work introduces acoustic tokenization of speech at the syllable level, which is more interpretable and potentially more scalable with significant compression in token len…

VideoAnchor: Reinforcing Subspace-Structured Visual Cues for Coherent Visual-Spatial Reasoning
Zhaozhi Wang, Tong Zhang, Mingyue Guo, Yaowei Wang, Qixiang Ye
https://arxiv.org/abs/2509.25151

VideoAnchor: Reinforcing Subspace-Structured Visual Cues for Coherent Visual-Spatial Reasoning
Multimodal Large Language Models (MLLMs) have achieved impressive progress in vision-language alignment, yet they remain limited in visual-spatial reasoning. We first identify that this limitation arises from the attention mechanism: visual tokens are overshadowed by language tokens, preventing the model from consistently recognizing the same visual cues across frames. To address this challenge, we draw a novel connection between the self-expressiveness property in sparse subspace clustering an…

StepORLM: A Self-Evolving Framework With Generative Process Supervision For Operations Research Language Models
Chenyu Zhou, Tianyi Xu, Jianghao Lin, Dongdong Ge
https://arxiv.org/abs/2509.22558

StepORLM: A Self-Evolving Framework With Generative Process Supervision For Operations Research Language Models
Large Language Models (LLMs) have shown promising capabilities for solving Operations Research (OR) problems. While reinforcement learning serves as a powerful paradigm for LLM training on OR problems, existing works generally face two key limitations. First, outcome reward suffers from the credit assignment problem, where correct final answers can reinforce flawed reasoning. Second, conventional discriminative process supervision is myopic, failing to evaluate the interdependent steps of OR mo…

cora: CORA citations (1998)
Citations among papers indexed by CORA, from 1998, an early computer science research paper search engine. 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. The dates of these snapshots are uncertain.
This network has 23166 nodes and 91500 edges.
Tags: Informational, Citation, Unweighted

Jeered in Miami, McDaniel shares fans' frustrations https://www.espn.com/nfl/story/_/id/46788952/jeered-blowout-dolphins-mcdaniel-share-fans-frustrations

Learning in an Echo Chamber: Online Learning with Replay Adversary
Daniil Dmitriev, Harald Eskelund Franck, Carolin Heinzler, Amartya Sanyal
https://arxiv.org/abs/2509.25135 htt…

Learning in an Echo Chamber: Online Learning with Replay Adversary
As machine learning systems increasingly train on self-annotated data, they risk reinforcing errors and becoming echo chambers of their own beliefs. We model this phenomenon by introducing a learning-theoretic framework: Online Learning in the Replay Setting. In round $t$, the learner outputs a hypothesis $\hat{h}_t$; the adversary then reveals either the true label $f^\ast(x_t)$ or a replayed label $\hat{h}_i(x_t)$ from an earlier round $i < t$. A mistake is counted only when the true label is…

jina-reranker-v3: Last but Not Late Interaction for Document Reranking
Feng Wang, Yuqing Li, Han Xiao
https://arxiv.org/abs/2509.25085 https://arxiv.org/pd…

jina-reranker-v3: Last but Not Late Interaction for Document Reranking
jina-reranker-v3 is a 0.6B parameter multilingual document reranker that introduces a novel last but not late interaction. Unlike late interaction models such as ColBERT that perform separate encoding followed by multi-vector matching, our approach conducts causal self-attention between query and documents within the same context window, enabling rich cross-document interactions before extracting contextual embeddings from the last token of each document. This compact architecture achieves stat…

Coarsening of biomimetic condensates in a self-stirring active fluid
Jeremy Laprade, Layne Frechette, Christopher Amey, Adrielle Cusi, Aparna Baskaran, W. Benjamin Rogers, Guillaume Duclos
https://arxiv.org/abs/2509.21753

Coarsening of biomimetic condensates in a self-stirring active fluid
Coarsening, the process where larger structures grow at the expense of smaller ones, is a fundamental aspect of multiphase systems. The cell cytoplasm exemplifies an out-of-equilibrium multiphase system, where phase-separated condensates nucleate and expand within an active fluid made of biopolymers and energy-dependent enzymes. In this study, we explore how condensates grow in a self-stirring active fluid by examining the coarsening of biomimetic condensates embedded in a 3D reconstituted cyto…

TASP: Topology-aware Sequence Parallelism
Yida Wang (Capital Normal University, Infinigence-AI), Ke Hong (Tsinghua University, Infinigence-AI), Xiuhong Li (Infinigence-AI), Yuanchao Xu (Capital Normal University), Wenxun Wang (Tsinghua University), Guohao Dai (Infinigence-AI, Shanghai Jiao Tong University), Yu Wang (Tsinghua University)
https://

TASP: Topology-aware Sequence Parallelism
Long-context large language models (LLMs) face constraints due to the quadratic complexity of the self-attention mechanism. The mainstream sequence parallelism (SP) method, Ring Attention, attempts to solve this by distributing the query into multiple query chunks across accelerators and enable each Q tensor to access all KV tensors from other accelerators via the Ring AllGather communication primitive. However, it exhibits low communication efficiency, restricting its practical applicability. …

Colts' Shane Steichen self-evaluating play calls after collapse to Chiefs https://www.nfl.com/news/colts-shane-steichen-self-evaluating-play-calls-after-collapse-to-chiefs

Generalized Correctness Models: Learning Calibrated and Model-Agnostic Correctness Predictors from Historical Patterns
Hanqi Xiao, Vaidehi Patil, Hyunji Lee, Elias Stengel-Eskin, Mohit Bansal
https://arxiv.org/abs/2509.24988

Generalized Correctness Models: Learning Calibrated and Model-Agnostic Correctness Predictors from Historical Patterns
Generating accurate and calibrated confidence estimates is critical for deploying LLMs in high-stakes or user-facing applications, and remains an open challenge. Prior research has often framed confidence as a problem of eliciting a model's "self-knowledge", i.e., the ability of an LLM to judge whether its own answers are correct; this approach implicitly assumes that there is some privileged information about the answer's correctness that is accessible to the model itself. However, our experim…

DRIFT-Net: A Spectral--Coupled Neural Operator for PDEs Learning
Jiayi Li, Flora D. Salim
https://arxiv.org/abs/2509.24868 https://arxiv.org/pdf/2509.24868…

DRIFT-Net: A Spectral--Coupled Neural Operator for PDEs Learning
Learning PDE dynamics with neural solvers can significantly improve wall-clock efficiency and accuracy compared with classical numerical solvers. In recent years, foundation models for PDEs have largely adopted multi-scale windowed self-attention, with the scOT backbone in \textsc{Poseidon} serving as a representative example. However, because of their locality, truly globally consistent spectral coupling can only be propagated gradually through deep stacking and window shifting. This weakens…