Tootfinder

Sources: Netflix, Comcast, and Paramount are preparing bids to buy all or part of WBD; any deal would require President Trump's and US regulators' approval (New York Times)
https://www.nytimes.com/2025/11/18/business/media/warner-disc…

Paramount, Comcast and Netflix Prepare Bids for Warner Bros. Discovery
Paramount, Comcast and Netflix are preparing bids to buy all or part of Warner Bros. Discovery, a crown jewel of the industry.

The NIAID Discovery Portal: A Unified Search Engine for Infectious and Immune-Mediated Disease Datasets
Ginger Tsueng (The Scripps Research Institute, La Jolla, CA, USA), Emily Bullen (The Scripps Research Institute, La Jolla, CA, USA), Candice Czech (The Scripps Research Institute, La Jolla, CA, USA), Dylan Welzel (The Scripps Research Institute, La Jolla, CA, USA), Leandro Collares (The Scripps Research Institute, La Jolla, CA, USA), Jason Lin (The Scripps Research Institute, La Joll…

The NIAID Discovery Portal: A Unified Search Engine for Infectious and Immune-Mediated Disease Datasets
The NIAID Data Ecosystem Discovery Portal (https://data.niaid.nih.gov) provides a unified search interface for over 4 million datasets relevant to infectious and immune-mediated disease (IID) research. Integrating metadata from domain-specific and generalist repositories, the Portal enables researchers to identify and access datasets using user-friendly filters or advanced queries, without requiring technical expertise. The Portal supports discovery of a wide range of resources, including epide…

S1-MatAgent: A planner driven multi-agent system for material discovery
Xinrui Wang, Chengbo Li, Boxuan Zhang, Jiahui Shi, Nian Ran, Linjing Li, Jianjun Liu, Dajun Zeng
https://arxiv.org/abs/2509.14542

S1-MatAgent: A planner driven multi-agent system for material discovery
The discovery of high-performance materials is crucial for technological advancement. Inverse design using multi-agent systems (MAS) shows great potential for new material discovery. However, current MAS for materials research rely on predefined configurations and tools, limiting their adaptability and scalability. To address these limitations, we developed a planner driven multi-agent system (S1-MatAgent) which adopts a Planner-Executor architecture. Planner automatically decomposes complex ma…

Sources: Paramount Skydance formed an investment consortium with the sovereign wealth funds of Saudi Arabia, Qatar, and Abu Dhabi to submit a $71B bid for WBD (Variety)
https://variety.com/2025/film/news/paramount-warner-bros-discove…

Paramount Bid for WB Discovery Backed by Saudis, Qatar and Abu Dhabi
Paramount has formed an investment consortium with the sovereign wealth funds of Saudi Arabia, Qatar and Abu Dhabi to submit a $71 billion bid for WBD.

Direct Imaging Explorations for Companions from the Subaru/IRD Strategic Program II; Discovery of a Brown-dwarf Companion around a Nearby mid-M~dwarf LSPM~J1446 4633
Taichi Uyama, Masayuki Kuzuhara, Charles Beichman, Teruyuki Hirano, Takayuki Kotani, Qier An, Timothy D. Brandt, Markus Janson, Dimitri Mawet, Mayuko Mori, Bun'Ei Sato, Denitza Stoeva, Motohide Tamura, Masataka Aizawa, Bryson Cale, Thomas Henning, Hiroyuki Tako Ishikawa, Norio Narita, Masahiro Ogihara, Aniket Sanghi, T…

Direct Imaging Explorations for Companions from the Subaru/IRD Strategic Program II; Discovery of a Brown-dwarf Companion around a Nearby mid-M~dwarf LSPM~J1446+4633
We report the discovery of a new directly-imaged brown dwarf companion with Keck/NIRC2+pyWFS around a nearby mid-type M~dwarf LSPM~J1446+4633 (hereafter J1446). The $L'$-band contrast ($4.5\times10^{-3}$) is consistent with a $\sim20-60\ M_{\rm Jup}$ object at 1--10~Gyr and our two-epoch NIRC2 data suggest a $\sim30\%$ ($\sim3.1σ)$ variability in its $L'$-band flux. We incorporated Gaia DR3 non-single-star catalog into the orbital fitting by combining the Subaru/IRD RV monitoring results, NIRC…

Data-Driven Discovery of Interpretable Kalman Filter Variants through Large Language Models and Genetic Programming
Vasileios Saketos, Sebastian Kaltenbach, Sergey Litvinov, Petros Koumoutsakos
https://arxiv.org/abs/2508.11703

Data-Driven Discovery of Interpretable Kalman Filter Variants through Large Language Models and Genetic Programming
Algorithmic discovery has traditionally relied on human ingenuity and extensive experimentation. Here we investigate whether a prominent scientific computing algorithm, the Kalman Filter, can be discovered through an automated, data-driven, evolutionary process that relies on Cartesian Genetic Programming (CGP) and Large Language Models (LLM). We evaluate the contributions of both modalities (CGP and LLM) in discovering the Kalman filter under varying conditions. Our results demonstrate that ou…

Paramount will offenbar Warner Bros. Discovery kaufen
Der US-amerikanische Medienmarkt könnte weiter konsolidieren: Paramount möchte offenbar Warner Bros. Discovery kaufen. Das hat auch eine politische Dimension.
https…

Google releases Cell2Sentence-Scale 27B (C2S-Scale), a 27B-parameter foundation model for single-cell analysis built on its Gemma family of open models (The Keyword)
https://blog.google/technology/ai/google-gemma-ai-cancer-therapy-discovery/

How a Gemma model helped discover a new potential cancer therapy pathway
We’re launching a new 27 billion parameter foundation model for single-cell analysis built on the Gemma family of open models.

twitter_higgs: Twitter, Higgs boson (2012)
Data on tweets related to the announcement of the discovery of a new fundamental particle with the features of the Higgs boson on 4th July 2012. Data covers 1-7 July 2012, and includes four types of networks: followers, retweets, replies, and mentions.
This network has 116408 nodes and 150818 edges.
Tags: Social, Online, Weighted, Multilayer

Discovery of a nova super-remnant surrounding the recurrent nova LMCN 1971-08a in the Large Magellanic Cloud
Michael W. Healy-Kalesh, Manami Sasaki, Sean D. Points, Miroslav D. Filipovi\'c, Zachary J. Smeaton, Matthew J. Darnley, Knox S. Long, Sara Saeedi, Federico Zangrandi
https://arxiv.org/abs/2509.14368

Discovery of a nova super-remnant surrounding the recurrent nova LMCN 1971-08a in the Large Magellanic Cloud
A nova super-remnant (NSR) is a greatly-extended structure grown by repeated nova eruptions sweeping the surrounding material away from a nova into a dense outer shell and are predicted to form around all novae. To date, four NSRs are known, with three located in the Galaxy and one residing in M31. Here we present the discovery of the first NSR in the Large Magellanic Cloud and only the second extragalactic nova shell to be identified, hosted by the recurrent nova LMCN 1971-08a. The structure i…

Dichotomy in Long-Lived Radio Emission from Tidal Disruption Events AT 2020zso and AT 2021sdu: Multi-Component Outflows vs. Host Contamination
Collin T. Christy, Kate D. Alexander, Tanmoy Laskar, Noah Franz, Adelle J. Goodwin, Jeniveve Pearson, Edo Berger, Yvette Cendes, Ryan Chornock, Deanne Coppejans, Tarraneh Eftekhari, Raffaella Margutti, James C. A. Miller-Jones, Melanie Krips, Enrico Ramirez-Ruiz, David J. Sand, Richard Saxton, Manisha Shrestha, Sjoert van Velzen

Dichotomy in Long-Lived Radio Emission from Tidal Disruption Events AT 2020zso and AT 2021sdu: Multi-Component Outflows vs. Host Contamination
We present a detailed radio study of the tidal disruption events (TDEs) AT 2020zso and AT 2021sdu. Both exhibit transient radio emission beginning shortly after optical discovery and persisting for several years. For AT 2020zso, we identify two distinct radio flares. The first arises soon after the optical peak, reaching a maximum $\sim1$ year post-discovery before fading. The second flare appears $\sim800$ days after discovery and results in the brief presence of two distinct components in the…

Discovery of crystalline Fe2O3 in returned lunar soils: #Chang'e-6 Samples Reveal First Evidence of Impact-Formed Hematite and Maghemite on the Moon: https://english.cas.cn/newsroom/research_news/earth/202511/t20251113_1100639.shtml

The Robustness of Differentiable Causal Discovery in Misspecified Scenarios
Huiyang Yi, Yanyan He, Duxin Chen, Mingyu Kang, He Wang, Wenwu Yu
https://arxiv.org/abs/2510.12503 ht…

The Robustness of Differentiable Causal Discovery in Misspecified Scenarios
Causal discovery aims to learn causal relationships between variables from targeted data, making it a fundamental task in machine learning. However, causal discovery algorithms often rely on unverifiable causal assumptions, which are usually difficult to satisfy in real-world data, thereby limiting the broad application of causal discovery in practical scenarios. Inspired by these considerations, this work extensively benchmarks the empirical performance of various mainstream causal discovery a…

Discovery Prospects for the $Y=0$ Scalar Triplet at Future $e^ e^-$ Colliders
Siddharth P. Maharathy, Phodiso Maroeshe, Paballo Ndhlovu, Srimoy Bhattacharya, Andreas Crivellin, Mukesh Kumar, Rachid Mazini, Bruce Mellado
https://arxiv.org/abs/2509.14378

Discovery Prospects for the $Y=0$ Scalar Triplet at Future $e^+e^-$ Colliders
The Real Higgs Triplet model, known as the $Δ$SM, is a minimal extension of the Standard Model (SM) obtained by adding a hypercharge 0 triplet ($Δ$). This simple model is motivated by the multi-lepton anomalies and excesses in di-photon, $Zγ$, and $WW$ spectra at $\approx152\,\text{GeV}$. The model contains, in addition to the SM particle content, a $CP$-even neutral Higgs ($Δ^0$) and a charged state ($Δ^\pm$), which are quasi-degenerate in mass. Observing the charged scalar at the LHC and…

I’m not saying that this is good, but it recalled for me the ancient times when the phone company (there was only one) sent everyone a fat (in urban areas) book in tiny type on thin paper with everyone’s phone number, alphabetically by surname. Businesses were in their own book. You could also go to the reference section of the public library and use the book with all of the numbers in your area in numerical order.
Ancient times. The 1990s @…

Discovery of an icy and nitrogen-rich extrasolar planetesimal
Snehalata Sahu, Boris T. G\"ansicke, Jamie T. Williams, Detlev G. Koester, Jay Farihi, Steven J. Desch, Nicola Pietro Gentile Fusillo, Dimitri Veras, Sean N. Raymond, Maria Teresa Belmonte
https://arxiv.org/abs/2509.13422

Discovery of an icy and nitrogen-rich extrasolar planetesimal
White dwarfs accreting planetary debris provide detailed insight into the bulk composition of rocky exo-planetesimals. However, only one Kuiper-Belt analogue has been identified in that way so far. Here, we report the accretion of an icy extra-solar planetesimal onto white dwarf WD 1647+375 using ultraviolet spectroscopy from the Hubble Space Telescope. The accreted material is rich in the volatiles carbon, nitrogen, and sulphur, with a chemical composition analogous to Kuiper-belt objects (KBO…

Discovery of Unstable Singularities
Yongji Wang, Mehdi Bennani, James Martens, S\'ebastien Racani\`ere, Sam Blackwell, Alex Matthews, Stanislav Nikolov, Gonzalo Cao-Labora, Daniel S. Park, Martin Arjovsky, Daniel Worrall, Chongli Qin, Ferran Alet, Borislav Kozlovskii, Nenad Toma\v{s}ev, Alex Davies, Pushmeet Kohli, Tristan Buckmaster, Bogdan Georgiev, Javier G\'omez-Serrano, Ray Jiang, Ching-Yao Lai

Discovery of Unstable Singularities
Whether singularities can form in fluids remains a foundational unanswered question in mathematics. This phenomenon occurs when solutions to governing equations, such as the 3D Euler equations, develop infinite gradients from smooth initial conditions. Historically, numerical approaches have primarily identified stable singularities. However, these are not expected to exist for key open problems, such as the boundary-free Euler and Navier-Stokes cases, where unstable singularities are hypothesi…

🪼 How the Discovery of Single-Celled Marine Organisms Resulted in One of the Most Influential Illustrated Books Ever Published
https://lithub.com/how-the-discovery-of-single-celled-marine-organis…

How the Discovery of Single-Celled Marine Organisms Resulted in One of the Most Influential Illustrated Books Ever Published
No creatures from the microscopic world have managed to captivate the human imagination as authoritatively as radiolarians. Since the late nineteenth century, they’ve made their existence known in …

Data-driven discovery of governing equation for sheared granular materials in steady and transient states
Xu Han, Lu Jing, Chung-Yee Kwok, Gengchao Yang, Yuri Dumaresq Sobral
https://arxiv.org/abs/2509.14518

Data-driven discovery of governing equation for sheared granular materials in steady and transient states
Granular material has significant implications for industrial and geophysical processes. A long-lasting challenge, however, is seeking a unified rheology for its solid- and liquid-like behaviors under quasi-static, inertial, and even unsteady shear conditions. Here, we present a data-driven framework to discover the hidden governing equation of sheared granular materials. The framework, PINNSR-DA, addresses noisy discrete particle data via physics-informed neural networks with sparse regression…

So - Google has introduced (what the claim at the moment) will be an open protocol for AI agents to make purchases on behalf of individuals named AP2.
Putting aside current issues with AI in general such as hallucinations, I think that I may have hit a breaking point with acronyms.
AP2 API B2B SDK CVE

• A threat actor using A…

Google launches new protocol for agent-driven purchases | TechCrunch
Called the Agent Payments Protocol (AP2), the system is meant to be interoperable between AI platforms, payment systems and vendors.

Consistent causal discovery with equal error variances: a least-squares perspective
Anamitra Chaudhuri, Yang Ni, Anirban Bhattacharya
https://arxiv.org/abs/2509.15197 https://…

Consistent causal discovery with equal error variances: a least-squares perspective
We consider the problem of recovering the true causal structure among a set of variables, generated by a linear acyclic structural equation model (SEM) with the error terms being independent and having equal variances. It is well-known that the true underlying directed acyclic graph (DAG) encoding the causal structure is uniquely identifiable under this assumption. In this work, we establish that the sum of minimum expected squared errors for every variable, while predicted by the best linear c…

Accelerated Discovery of Topological Conductors for Nanoscale Interconnects
Alexander C. Tyner, William Rogers, Po-Hsin Shih, Yi-Hsin Tu, Gengchiau Liang, Hsin Lin, Ching-Tzu Chen, James M. Rondinelli
https://arxiv.org/abs/2509.15135

Accelerated Discovery of Topological Conductors for Nanoscale Interconnects
The sharp increase in resistivity of copper interconnects at ultra-scaled dimensions threatens the continued miniaturization of integrated circuits. Topological semimetals (TSMs) with gapless surface states (Fermi arcs) provide conduction channels resistant to localization. Here we develop an efficient computational framework to quantify 0K surface-state transmission in nanowires derived from Wannier tight-binding models of topological conductors that faithfully reproduce relativistic density f…

An Interpretable Ensemble Framework for Multi-Omics Dementia Biomarker Discovery Under HDLSS Conditions
Byeonghee Lee, Joonsung Kang
https://arxiv.org/abs/2509.10527 https://

An Interpretable Ensemble Framework for Multi-Omics Dementia Biomarker Discovery Under HDLSS Conditions
Biomarker discovery in neurodegenerative diseases requires robust, interpretable frameworks capable of integrating high-dimensional multi-omics data under low-sample conditions. We propose a novel ensemble approach combining Graph Attention Networks (GAT), MultiOmics Variational AutoEncoder (MOVE), Elastic-net sparse regression, and Storey's False Discovery Rate (FDR). This framework is benchmarked against state-of-the-art methods including DIABLO, MOCAT, AMOGEL, and MOMLIN. We evaluate perform…

from my link log —
Discovering the discovery of designated resolvers (DNS DDR).
https://labs.ripe.net/author/yevheniya-nosyk/discovering-the-discovery-of-designated-resolvers/
saved 2025-11-09

Discovering the Discovery of Designated Resolvers
DNS encryption is gaining momentum with proposed standards such as DoT, DoH, and DoQ protecting DNS exchanges from external observers. But these standards introduce non-trivial changes to the original specification. Here we look at the Discovery of Designated Resolvers (DDR) - a mechanism that all…

Accelerating Discovery: Rapid Literature Screening with LLMs
Santiago Matalonga, Domenico Amalfitano, Jean Carlo Rossa Hauck, Mart\'in Solari, Guilherme H. Travassos
https://arxiv.org/abs/2509.13103

Accelerating Discovery: Rapid Literature Screening with LLMs
Background: Conducting Multi Vocal Literature Reviews (MVLRs) is often time and effort-intensive. Researchers must review and filter a large number of unstructured sources, which frequently contain sparse information and are unlikely to be included in the final study. Our experience conducting an MVLR on Context-Aware Software Systems (CASS) Testing in the avionics domain exemplified this challenge, with over 8,000 highly heterogeneous documents requiring review. Therefore, we developed a Large…

Discovery of America /
Saul Steinberg
#cycling #bikes

Researchers demonstrated a major WhatsApp flaw that exposed 3.5B users' phone numbers, with 57% also showing a profile photo; Meta fixed the enumeration problem (Andy Greenberg/Wired)
https://www.wired.com/story/a-simple-whatsapp-security-flaw-…

A Simple WhatsApp Security Flaw Exposed 3.5 Billion Phone Numbers
By plugging tens of billions of phone numbers into WhatsApp’s contact discovery tool, researchers found “the most extensive exposure of phone numbers” ever—along with profile photos and more.

Discovery of the Second Y Y Dwarf Binary System, CWISEP J193518.59-154620.3: #BrownDwarf Gets Stranger: https://aasnova.org/2025/10/17/a-strange-brown-dwarf-gets-stranger/

Fortifying the Agentic Web: A Unified Zero-Trust Architecture Against Logic-layer Threats
Ken Huang, Yasir Mehmood, Hammad Atta, Jerry Huang, Muhammad Zeeshan Baig, Sree Bhargavi Balija
https://arxiv.org/abs/2508.12259

Fortifying the Agentic Web: A Unified Zero-Trust Architecture Against Logic-layer Threats
This paper presents a Unified Security Architecture that fortifies the Agentic Web through a Zero-Trust IAM framework. This architecture is built on a foundation of rich, verifiable agent identities using Decentralized Identifiers (DIDs) and Verifiable Credentials (VCs), with discovery managed by a protocol-agnostic Agent Name Service (ANS). Security is operationalized through a multi-layered Trust Fabric which introduces significant innovations, including Trust-Adaptive Runtime Environments (T…

LLM Agents for Interactive Workflow Provenance: Reference Architecture and Evaluation Methodology
Renan Souza, Timothy Poteet, Brian Etz, Daniel Rosendo, Amal Gueroudji, Woong Shin, Prasanna Balaprakash, Rafael Ferreira da Silva
https://arxiv.org/abs/2509.13978

LLM Agents for Interactive Workflow Provenance: Reference Architecture and Evaluation Methodology
Modern scientific discovery increasingly relies on workflows that process data across the Edge, Cloud, and High Performance Computing (HPC) continuum. Comprehensive and in-depth analyses of these data are critical for hypothesis validation, anomaly detection, reproducibility, and impactful findings. Although workflow provenance techniques support such analyses, at large scale, the provenance data become complex and difficult to analyze. Existing systems depend on custom scripts, structured quer…

RPKT: Learning What You Don't -- Know Recursive Prerequisite Knowledge Tracing in Conversational AI Tutors for Personalized Learning
Jinwen Tang, Qiming Guo, Zhicheng Tang
https://arxiv.org/abs/2508.11892

RPKT: Learning What You Don't -- Know Recursive Prerequisite Knowledge Tracing in Conversational AI Tutors for Personalized Learning
Educational systems often assume learners can identify their knowledge gaps, yet research consistently shows that students struggle to recognize what they don't know they need to learn-the "unknown unknowns" problem. This paper presents a novel Recursive Prerequisite Knowledge Tracing (RPKT) system that addresses this challenge through dynamic prerequisite discovery using large language models. Unlike existing adaptive learning systems that rely on pre-defined knowledge graphs, our approach rec…

Serendipitous discovery of a young cluster of galaxies at $z \sim 0.5$ projected next to the nearby tadpole galaxy KUG 1138 327
Q. Daniel Wang, Juergen Ott
https://arxiv.org/abs/2508.11819

Serendipitous discovery of a young cluster of galaxies at $z \sim 0.5$ projected next to the nearby tadpole galaxy KUG 1138 + 327
Using a 90 ks Chandra ACIS-S observation in the 0.3--7 keV band, along with complementary Low-Frequency Array and Karl G.~Jansky Very Large Array data in the 120--168 MHz and 1--2 GHz ranges, we study the diffuse emission around the nearby dwarf galaxy KUG~1138+327. Our analysis reveals a diffuse X-ray feature on the southern side, disconnected from the galactic disk. This feature exhibits a hard X-ray spectrum, which is highly unusual for an outflow from a dwarf galaxy. We interpret the irregu…

Hetero-EUCLID: Interpretable model discovery for heterogeneous hyperelastic materials using stress-unsupervised learning
Kanhaiya Lal Chaurasiya, Saurav Dutta, Siddhant Kumar, Akshay Joshi
https://arxiv.org/abs/2509.11784

Hetero-EUCLID: Interpretable model discovery for heterogeneous hyperelastic materials using stress-unsupervised learning
We propose a computational framework, Hetero-EUCLID, for segmentation and parameter identification to characterize the full hyperelastic behavior of all constituents of a heterogeneous material. In this work, we leverage the Bayesian-EUCLID (Efficient Unsupervised Constitutive Law Identification and Discovery) framework to efficiently solve the heterogenized formulation through parsimonious model selection using sparsity-promoting priors and Monte Carlo Markov Chain sampling. We utilize experim…

Prediction of Spotify Chart Success Using Audio and Streaming Features
Ian Jacob Cabansag, Paul Ntegeka
https://arxiv.org/abs/2508.11632 https://arxiv.org/…

Prediction of Spotify Chart Success Using Audio and Streaming Features
Spotify's streaming charts offer a real-time lens into music popularity, driving discovery, playlists, and even revenue potential. Understanding what influences a song's rise in ranks on these charts-especially early on-can guide marketing efforts, investment decisions, and even artistic direction. In this project, we developed a classification pipeline to predict a song's chart success based on its musical characteristics and early engagement data. Using all 2024 U.S. Top 200 Spotify Daily Cha…

Universal Adaptive Environment Discovery
Madi Matymov, Ba-Hien Tran, Maurizio Filippone
https://arxiv.org/abs/2510.12547 https://arxiv.org/pdf/2510.12547…

Universal Adaptive Environment Discovery
An open problem in Machine Learning is how to avoid models to exploit spurious correlations in the data; a famous example is the background-label shortcut in the Waterbirds dataset. A common remedy is to train a model across multiple environments; in the Waterbirds dataset, this corresponds to training by randomizing the background. However, selecting the right environments is a challenging problem, given that these are rarely known a priori. We propose Universal Adaptive Environment Discovery …

Random…
HBO has been running ads for “Task” quite heavily this week on Discovery channels (e.g.Science Channel) at a rate of once or twice per ad break. Which is bad enough, but that’s just the framework into which they assort at least 3 *slightly* different 15-second edits. It’s very annoying.
Of course, I grew up in a time when ads were all 30 seconds and they wouldn’t dream of running the same one twice in a break, which is now routine. So I guess this is an

WBD announces a multi-year partnership with the South Korean media company CJ ENM with the primary goal of creating a K-drama pipeline for HBO Max (Loree Seitz/The Wrap)
https://www.thewrap.com/warner-bros-discovery-partnership-cj-enm-k-drama-pipeli…

Warner Bros. Discovery Partners With Korea's CJ ENM to Produce HBO Max K-Dramas
Warner Bros. Discovery has inked a partnership with Korean media company CJ ENM with the primary goal of creating a K-drama pipeline for HBO Max.

SR-Scientist: Scientific Equation Discovery With Agentic AI
Shijie Xia, Yuhan Sun, Pengfei Liu
https://arxiv.org/abs/2510.11661 https://arxiv.org/pdf/2510.…

SR-Scientist: Scientific Equation Discovery With Agentic AI
Recently, Large Language Models (LLMs) have been applied to scientific equation discovery, leveraging their embedded scientific knowledge for hypothesis generation. However, current methods typically confine LLMs to the role of an equation proposer within search algorithms like genetic programming. In this paper, we present SR-Scientist, a framework that elevates the LLM from a simple equation proposer to an autonomous AI scientist that writes code to analyze data, implements the equation as co…

Accelerating Amorphous Alloy Discovery: Data-Driven Property Prediction via General-Purpose Machine Learning Interatomic Potential
Xuhe Gong, Hengbo Zhao, Xiao Fu, Jingchen Lian, Qifan Yang, Ran Li, Ruijuan Xiao, Tao Zhang, Hong Li
https://arxiv.org/abs/2508.11989

Accelerating Amorphous Alloy Discovery: Data-Driven Property Prediction via General-Purpose Machine Learning Interatomic Potential
While traditional trial-and-error methods for designing amorphous alloys are costly and inefficient, machine learning approaches based solely on composition lack critical atomic structural information. Machine learning interatomic potentials, trained on data from first-principles calculations, offer a powerful alternative by efficiently approximating the complex three-dimensional potential energy surface with near-DFT accuracy. In this work, we develop a general-purpose machine learning interat…

ORCA: A Comprehensive AI-Driven Platform for Digital Pathology Analysis and Biomarker Discovery
Noor Shaker, Mohamed AbouZleikha, Nuha Shaker
https://arxiv.org/abs/2509.13044 ht…

ORCA: A Comprehensive AI-Driven Platform for Digital Pathology Analysis and Biomarker Discovery
Digital pathology has emerged as a transformative approach to tissue analysis, offering unprecedented opportunities for objective, quantitative assessment of histopathological features. However, the complexity of implementing artificial intelligence (AI) solutions in pathology workflows has limited widespread adoption. Here we present ORCA (Optimized Research and Clinical Analytics), a comprehensive no-code AI platform specifically designed for digital pathology applications. ORCA addresses cri…

Crosslisted article(s) found for stat.ME. https://arxiv.org/list/stat.ME/new
[1/1]:
- Consistent causal discovery with equal error variances: a least-squares perspective
Anamitra Chaudhuri, Yang Ni, Anirban Bhattacharya

How the cosmic voids contribute to stalling and quenching the giant galaxies on their surfaces
Geonwoo Kang (Seoul National University), Jounghun Lee (Seoul National University)
https://arxiv.org/abs/2508.12283

How the cosmic voids contribute to stalling and quenching the giant galaxies on their surfaces
We report a numerical discovery that the formations of cosmic voids are closely linked with the mechanism through which the giant galaxies on void surfaces establish elliptical shapes, redder colors, and lower sSFR. Identifying the voids from the TNG300-1 simulations via the Void-Finder algorithm, we explore if and how the shapes of the TNG galaxies located on void surfaces are aligned with the directions toward the void centers. Noting that only the giant void-surface galaxies with stellar mas…

Super resonance: Breaking the bandwidth limit of resonant modes and its application to flow control
Adam R. Harris, Armin Kianfar, David Roca, Daniel Yago, Christoph Brehm, Mahmoud I. Hussein
https://arxiv.org/abs/2509.15142

Super resonance: Breaking the bandwidth limit of resonant modes and its application to flow control
We report the discovery of super resonance--a new regime of resonant behavior in which a mode's out-of-phase response persists far beyond its classical bandwidth. This effect emerges from a coiled phononic structure composed of a locally resonant elastic metamaterial and architected to support multiple internal energy pathways. These pathways converge at a single structural point, enabling extended modal dominance and significantly broadening the frequency range over which a resonant phase is s…

Discovering Expert-Level Nash Equilibrium Algorithms with Large Language Models
Hanyu Li, Dongchen Li, Xiaotie Deng
https://arxiv.org/abs/2508.11874 https://

Discovering Expert-Level Nash Equilibrium Algorithms with Large Language Models
Algorithm design and analysis is a cornerstone of computer science, but it confronts a major challenge. Proving an algorithm's performance guarantee across all inputs has traditionally required extensive and often error-prone human effort. While AI has shown great success in finding solutions to specific problem instances, automating the discovery of general algorithms with such provable guarantees has remained a significant barrier. This challenge stems from the difficulty of integrating the c…

Reduced-order modeling of Hamiltonian dynamics based on symplectic neural networks
Yongsheng Chen, Wei Guo, Qi Tang, Xinghui Zhong
https://arxiv.org/abs/2508.11911 https://

Reduced-order modeling of Hamiltonian dynamics based on symplectic neural networks
We introduce a novel data-driven symplectic induced-order modeling (ROM) framework for high-dimensional Hamiltonian systems that unifies latent-space discovery and dynamics learning within a single, end-to-end neural architecture. The encoder-decoder is built from Henon neural networks (HenonNets) and may be augmented with linear SGS-reflector layers. This yields an exact symplectic map between full and latent phase spaces. Latent dynamics are advanced by a symplectic flow map implemented as a …

Demonstrating Narrative Pattern Discovery from Biomedical Literature
Hermann Kroll, Pascal Sackhoff, Bill Matthias Thang, Christin Katharina Kreutz, Wolf-Tilo Balke
https://arxiv.org/abs/2509.09687

Demonstrating Narrative Pattern Discovery from Biomedical Literature
Digital libraries maintain extensive collections of knowledge and need to provide effective access paths for their users. For instance, PubPharm, the specialized information service for Pharmacy in Germany, provides and develops access paths to their underlying biomedical document collection. In brief, PubPharm supports traditional keyword-based search, search for chemical structures, as well as novel graph-based discovery workflows, e.g., listing or searching for interactions between different…

Querying Climate Knowledge: Semantic Retrieval for Scientific Discovery
Mustapha Adamu, Qi Zhang, Huitong Pan, Longin Jan Latecki, Eduard C. Dragut
https://arxiv.org/abs/2509.10087

Querying Climate Knowledge: Semantic Retrieval for Scientific Discovery
The growing complexity and volume of climate science literature make it increasingly difficult for researchers to find relevant information across models, datasets, regions, and variables. This paper introduces a domain-specific Knowledge Graph (KG) built from climate publications and broader scientific texts, aimed at improving how climate knowledge is accessed and used. Unlike keyword based search, our KG supports structured, semantic queries that help researchers discover precise connections…

Crosslisted article(s) found for q-bio.BM. https://arxiv.org/list/q-bio.BM/new
[1/1]:
- Structure-Aware Contrastive Learning with Fine-Grained Binding Representations for Drug Discovery
Lan, Ding, Chen, Jiang, Ng, Yip, Cheng, Mao, Cai, Lin, Yoo

Towards a Physics Foundation Model
Florian Wiesner, Matthias Wessling, Stephen Baek
https://arxiv.org/abs/2509.13805 https://arxiv.org/pdf/2509.13805

Towards a Physics Foundation Model
Foundation models have revolutionized natural language processing through a ``train once, deploy anywhere'' paradigm, where a single pre-trained model adapts to countless downstream tasks without retraining. Access to a Physics Foundation Model (PFM) would be transformative -- democratizing access to high-fidelity simulations, accelerating scientific discovery, and eliminating the need for specialized solver development. Yet current physics-aware machine learning approaches remain fundamentally…

twitter_higgs: Twitter, Higgs boson (2012)
Data on tweets related to the announcement of the discovery of a new fundamental particle with the features of the Higgs boson on 4th July 2012. Data covers 1-7 July 2012, and includes four types of networks: followers, retweets, replies, and mentions.
This network has 38918 nodes and 32523 edges.
Tags: Social, Online, Weighted, Multilayer

Endogenic heat at #Enceladus’ north pole: https://www.science.org/doi/10.1126/sciadv.adx4338 -> The chances of life in frozen moon's ocean just got bigger, after scientists made a key discovery: https://www.skyatnightmagazine.com/news/enceladus-ocean-north-pole-energy-balance

Society of hopeful technologists (uk oriented): https://buttondown.com/society-of-hopeful-technologists/archive/

There's a word at the beginning and end of Dawn of Everything that feels self-referential right now: Kairos.
> We began this book with a quote which refers to the Greek notion of kairos as one of those occasional moments in a society’s history when its frames of reference undergo a shift – a metamorphosis of the fundamental principles and symbols, when the lines between myth and history, science and magic become blurred – and, therefore, real change is possible. Philosophers sometimes like to speak of ‘the Event’ – a political revolution, a scientific discovery, an artistic masterpiece – that is, a breakthrough which reveals aspects of reality that had previously been unimaginable but, once seen, can never be unseen. If so, kairos is the kind of time in which Events are prone to happen.
> Societies around the world appear to be cascading towards such a point. This is particularly true of those which, since the First World War, have been in the habit of calling themselves ‘Western’. On the one hand, fundamental breakthroughs in the physical sciences, or even artistic expression, no longer seem to occur with anything like the regularity people came to expect in the late nineteenth and early twentieth centuries. Yet at the same time, our scientific means of understanding the past, not just our species’ past but that of our planet, has been advancing with dizzying speed. Scientists in 2020 are not (as readers of mid-twentieth-century science fiction might have hoped) encountering alien civilizations in distant star systems; but they are encountering radically different forms of society under their own feet, some forgotten and newly rediscovered, others more familiar, but now understood in entirely new ways.
Reading this as I write something very inspired by this work feels especially serendipitous, especially at this time. When they wrote the book, I think that kairos felt more serendipitous itself. But as the frequency of opportunity increases, the veil between realities feels more malleable... that perhaps we can poke a finger through and open a portal to a completely different future than the one we've felt locked into for such a long time.
https://anarchoccultism.org/building-zion/the-coordinated-swarm-lyhr

"Rethinking Data Discovery for Libraries and Digital Humanities" @ Library Innovation Lab at Harvard Law School: https://lil.law.harvard.edu/blog/2025/10/24/rethinking-data-discovery-for-libraries-and-digital-humanities/

Who is Introducing the Failure? Automatically Attributing Failures of Multi-Agent Systems via Spectrum Analysis
Yu Ge (Nanjing University), Linna Xie (Nanjing University), Zhong Li (Nanjing University), Yu Pei (The Hong Kong Polytechnic University), Tian Zhang (Nanjing University)
https://arxiv.org/abs/2509.13782

Who is Introducing the Failure? Automatically Attributing Failures of Multi-Agent Systems via Spectrum Analysis
Large Language Model Powered Multi-Agent Systems (MASs) are increasingly employed to automate complex real-world problems, such as programming and scientific discovery. Despite their promising, MASs are not without their flaws. However, failure attribution in MASs - pinpointing the specific agent actions responsible for failures - remains underexplored and labor-intensive, posing significant challenges for debugging and system improvement. To bridge this gap, we propose FAMAS, the first spectru…

Two Types of Natural Kind Discovery: Nobel Meets Kuhn
Samuel Schindler
https://arxiv.org/abs/2510.09069 https://arxiv.org/pdf/2510.09069

Two Types of Natural Kind Discovery: Nobel Meets Kuhn
Philosophers have spilled much ink over the discovery of ideas in the classical 'context of discovery'. However, there has been little engagement with the question of what constitutes a discovery of 'things in the world'. A much-overlooked answer to this question is provided by T.S. Kuhn. In this paper, I show that discoveries awarded with a Nobel Prize in Physics in the past 53 years accord with a basic premise of Kuhn's account and his distinction between two types of natural kind discoveries…

Judge shoots down Trump lawyers' effort to keep evidence hidden from James Comey - Raw Story
https://www.rawstory.com/james-comey-discovery/

Quantum-entangled B mesons and CP violation: a brief overview
Zhi-zhong Xing
https://arxiv.org/abs/2508.12589 https://arxiv.org/pdf/2508.12589

Quantum-entangled B mesons and CP violation: a brief overview
This paper is intended to provide a brief overview of the quantum-entangled production of neutral meson-antimeson pairs, and to highlight the first discovery of a clean physical CP-violating phase in coherent neutral-$B$ decays as a smoking gun of the Kobayashi-Maskawa mechanism of CP violation in the standard model of particle physics.

Evidence for the Keplerian orbit of a close companion around a giant star: #exoplanets

Replaced article(s) found for stat.ME. https://arxiv.org/list/stat.ME/new
[1/1]:
- Post-selection inference for causal effects after causal discovery
Ting-Hsuan Chang, Zijian Guo, Daniel Malinsky

🏖️ Seaweed on sandy coastlines contributes to greenhouse gas emissions, study shows
https://phys.org/news/2025-09-seaweed-sandy-coastlines-contributes-greenhouse.html

Seaweed on sandy coastlines contributes to greenhouse gas emissions, study shows
A team of researchers from Monash University has made a discovery that could reshape our understanding of greenhouse gas emissions from coastal ecosystems. Published in Nature Geoscience, the study reveals sandy coastlines, which make up half the world's continental margins, are a previously overlooked source of methane.

The Discovery of a Large Active Wind from the Milky Way's Central Black Hole
Mark D. Gorski, Elena Murchikova
https://arxiv.org/abs/2509.10615 https://…

The Discovery of a Large Active Wind from the Milky Way's Central Black Hole
Every large galaxy has a black hole in its center. The interaction between the black hole and their host profoundly shapes galactic evolution and the Universe as a whole. The key feature of this interaction are black hole jets - or more generally winds - which every black hole must have. Despite our Galaxy's central black hole, Sagittarius A* (Sgr A*), proximity and importance, the active wind from it has eluded scientists for over half a century. Here we report the discovery of a large active …

Disney, Universal, and WBD sue China's MiniMax, alleging that its image- and video-generating service Hailuo AI was built from stolen intellectual property (Reuters)
https://www.reuters.com/legal/litigation/d

HBO Max vor Deutschlandstart: "Wir sind viel zu günstig"
Der CEO von Warner Bros. Discovery hat Preiserhöhungen für den Streaming-Dienst HBO Max in Aussicht gestellt. Die Kosten zum Launch in Deutschland sind offen.

A look at the networks, studios, executives, and libraries of Paramount and WBD amid merger talk, and similarities with Disney's acquisition of 21st Century Fox (Deadline)
https://deadline.com/2025/09/paramount-warner-bros-discovery-merger-hollyw…

Sizing Up A Possible Paramount-WBD Merger, Hollywood Wonders If This Episode Is A Repeat
Paramount's interest in acquiring all of Warner Bros. Discovery gave Hollywood flashbacks to the 2019 Disney-Fox deal.

Crosslisted article(s) found for astro-ph.EP. https://arxiv.org/list/astro-ph.EP/new
[1/1]:
- Direct Imaging Explorations for Companions from the Subaru/IRD Strategic Program II; Discovery of...
Taichi Uyama, et al.

Is Research Software Science a Metascience?
Evan Eisinger, Michael A. Heroux
https://arxiv.org/abs/2509.13436 https://arxiv.org/pdf/2509.13436

Is Research Software Science a Metascience?
As research increasingly relies on computational methods, the reliability of scientific results depends on the quality, reproducibility, and transparency of research software. Ensuring these qualities is critical for scientific integrity and discovery. This paper asks whether Research Software Science (RSS)--the empirical study of how research software is developed and used--should be considered a form of metascience, the science of science. Classification matters because it could affect recogn…

The (R)evolution of Scientific Workflows in the Agentic AI Era: Towards Autonomous Science
Woong Shin, Renan Souza, Daniel Rosendo, Fr\'ed\'eric Suter, Feiyi Wang, Prasanna Balaprakash, Rafael Ferreira da Silva
https://arxiv.org/abs/2509.09915

The (R)evolution of Scientific Workflows in the Agentic AI Era: Towards Autonomous Science
Modern scientific discovery increasingly requires coordinating distributed facilities and heterogeneous resources, forcing researchers to act as manual workflow coordinators rather than scientists. Advances in AI leading to AI agents show exciting new opportunities that can accelerate scientific discovery by providing intelligence as a component in the ecosystem. However, it is unclear how this new capability would materialize and integrate in the real world. To address this, we propose a conce…

Time to Play: Simulating Early-Life Animal Dynamics Enhances Robotics Locomotion Discovery
Paul Templier, Hannah Janmohamed, David Labonte, Antoine Cully
https://arxiv.org/abs/2509.11755

Time to Play: Simulating Early-Life Animal Dynamics Enhances Robotics Locomotion Discovery
Developmental changes in body morphology profoundly shape locomotion in animals, yet artificial agents and robots are typically trained under static physical parameters. Inspired by ontogenetic scaling of muscle power in biology, we propose Scaling Mechanical Output over Lifetime (SMOL), a novel curriculum that dynamically modulates robot actuator strength to mimic natural variations in power-to-weight ratio during growth and ageing. Integrating SMOL into the MAP-Elites quality-diversity framew…

Do LLMs "Feel"? Emotion Circuits Discovery and Control
Chenxi Wang, Yixuan Zhang, Ruiji Yu, Yufei Zheng, Lang Gao, Zirui Song, Zixiang Xu, Gus Xia, Huishuai Zhang, Dongyan Zhao, Xiuying Chen
https://arxiv.org/abs/2510.11328

Do LLMs "Feel"? Emotion Circuits Discovery and Control
As the demand for emotional intelligence in large language models (LLMs) grows, a key challenge lies in understanding the internal mechanisms that give rise to emotional expression and in controlling emotions in generated text. This study addresses three core questions: (1) Do LLMs contain context-agnostic mechanisms shaping emotional expression? (2) What form do these mechanisms take? (3) Can they be harnessed for universal emotion control? We first construct a controlled dataset, SEV (Scenari…

Data Driven Discovery of Emergent Dynamics in Reaction Diffusion Systems from Sparse and Noisy Observations
Saumitra Dwivedi, Ricardo da Silva Torres, Ibrahim A. Hameed, Gunnar Tufte, Anniken Susanne T. Karlsen
https://arxiv.org/abs/2509.09278

Data Driven Discovery of Emergent Dynamics in Reaction Diffusion Systems from Sparse and Noisy Observations
Data-driven discovery of emergent dynamics is gaining popularity, particularly in the context of reaction-diffusion systems. These systems are widely studied across various fields, including neuroscience, ecology, epidemiology, and several other subject areas that deal with emergent dynamics. A current challenge in the discovery process relates to system identification when there is no prior knowledge of the underlying physics. We attempt to address this challenge by learning Soft Artificial Li…

twitter_higgs: Twitter, Higgs boson (2012)
Data on tweets related to the announcement of the discovery of a new fundamental particle with the features of the Higgs boson on 4th July 2012. Data covers 1-7 July 2012, and includes four types of networks: followers, retweets, replies, and mentions.
This network has 38918 nodes and 32523 edges.
Tags: Social, Online, Weighted, Multilayer

Skyrmion-Antiskyrmion Lattice: A Net-Zero Topological Phase in Low-Symmetry Frustrated Chiral Magnets
Sayan Banik, Ashis K. Nandy
https://arxiv.org/abs/2509.14207 https://

Skyrmion-Antiskyrmion Lattice: A Net-Zero Topological Phase in Low-Symmetry Frustrated Chiral Magnets
We report the discovery of a thermodynamically stable skyrmion-antiskyrmion lattice in two-dimensional heterostructures, a novel state exhibiting a net-zero global topological charge owing to an equal population of skyrmions and antiskyrmions. This surprising coexistence of oppositely charged solitons remarkably circumvents their anticipated annihilation. We demonstrate the formation and evolution of this phase in Fe films on C1v -symmetric (110) surfaces of GaAs and CdTe semiconductors. Specif…

Discovery of new magnetic {\delta} Scuti stars and impact of magnetism on pulsation excitation
K. Thomson-Paressant, C. Neiner, J. Labadie-Bartz, R. -M. Ouazzani, S. Mathis, L. Manchon
https://arxiv.org/abs/2510.12341

Discovery of new magnetic δ Scuti stars and impact of magnetism on pulsation excitation
Context. At this time, the list of known magnetic δ Scuti stars is extremely limited, with only a handful of well-studied examples. Aims. We seek to expand this list, by retrieving targets from a variety of sources and demonstrating that they present simultaneously a surface magnetic field signature and δ Scuti pulsations. Methods. We obtained archival and new spectropolarimetric datasets for a variety of known δ Scuti stars and analysed them using the Least Squares Deconvolution method to g…

🐮 A once-in-a-generation discovery is transforming a Michigan dairy farm
#michigan

A once-in-a-generation discovery is transforming a Michigan dairy farm
At first glance, the 400 acres of soybeans growing on the Preston family's dairy farm in southern Michigan looks like a typical field. But these aren't ordinary soybeans. They represent a breakthrough partnership with Michigan State University that's saving the family tens of thousands of dollars a month in livestock feed costs—and it could change the dairy industry forever.

A test of Ca ii H & K photometry for isolating massive globular clusters below the metallicity floor
Bas van Heumen, William E. Harris, S{\o}ren S. Larsen, Else Starkenburg
https://arxiv.org/abs/2508.13031

A test of Ca ii H & K photometry for isolating massive globular clusters below the metallicity floor
The serendipitous discovery of the M31 globular cluster (GC) EXT8 has presented a significant challenge to current theories for GC formation. By finding other GCs similar to EXT8, it should become clear if and/or how EXT8 can fit into our current understanding of GC formation. We aim to test the potential of integrated-light narrow-band Ca II H & K photometry as a proxy for the metallicity of GCs to be able to provide effective candidate selection for massive GCs below the GC metallicity floor …

Domain Knowledge Infused Generative Models for Drug Discovery Synthetic Data
Bing Hu, Jong-Hoon Park, Helen Chen, Young-Rae Cho, Anita Layton
https://arxiv.org/abs/2510.09837 ht…

Domain Knowledge Infused Generative Models for Drug Discovery Synthetic Data
The role of Artificial Intelligence (AI) is growing in every stage of drug development. Nevertheless, a major challenge in drug discovery AI remains: Drug pharmacokinetic (PK) and Drug-Target Interaction (DTI) datasets collected in different studies often exhibit limited overlap, creating data overlap sparsity. Thus, data curation becomes difficult, negatively impacting downstream research investigations in high-throughput screening, polypharmacy, and drug combination. We propose xImagand-DKI, …

Destruction of "Peas in a Pod?" A Candidate Multi-planet System Around the Nearby, Bright Star, HD208487
Rafael I. Rubenstein, James S. Jenkins, Pablo A. Pe\~na R., Carolina Charalambous, Mikko Tuomi, Douglas R. Alves, Jos\'e Vines, Mat\'ias R. D\'iaz, Suman Saha, Paul R. Butler, Jeffrey D. Crane, Steve Shectman, Johanna K. Teske, David Osip, Zahra Essack, Benjamin T. Montet, Adina D. Feinstein, Cristobal Petrovich

Destruction of "Peas in a Pod?" A Candidate Multi-planet System Around the Nearby, Bright Star, HD208487
We re-investigate the HD208487 system to test the reality of the proposed HD208487c world. We also search for additional companions using applied Bayesian statistics and 15+ years of new RV data from the HARPS and the PFS instruments that were taken post-discovery of HD208487b. The RV data was analyzed with GLS Periodograms, followed by Bayesian analysis using the EMPEROR code. We scrutinised various stellar activity indices to search for any corresponding peaks in the power spectra, correlat…

Warner Bros. Discovery CEO David Zaslav says he expects the planned separation of the company to be completed by April 2026 (Jill Goldsmith/Deadline)
https://deadline.com/2025/09/warner-bros-discovery-ceo-david-zaslav-separation-in-april-12…

WBD CEO David Zaslav Sees Company Split In April
Warner Bros. Discovery CEO David Zaslav said he expects the planned separation of the company to be completed by April of 2026.

Discovery of femto Gauss intergalactic magnetic fields towards Mkn 501
Mat\'ias Sotomayor Webar, Yosef Abed, Dieter Horns
https://arxiv.org/abs/2509.11996 https://

Discovery of femto Gauss intergalactic magnetic fields towards Mkn 501
The existence of intergalactic magnetic fields (IGMF) has so far not been established through observations. The IGMF is expected to be generated either via processes mainly connected to astrophysical processes or it could be a relic of phase transitions in the early universe. Upper bounds to the average field present are set via observations of Faraday rotation measure. Lower bounds have been derived from the non-detection of secondary gamma-rays possibly produced in electromagnetic cascades. W…

Deep Gaussian Process-based Cost-Aware Batch Bayesian Optimization for Complex Materials Design Campaigns
Sk Md Ahnaf Akif Alvi, Brent Vela, Vahid Attari, Jan Janssen, Danny Perez, Douglas Allaire, Raymundo Arroyave
https://arxiv.org/abs/2509.14408

Deep Gaussian Process-based Cost-Aware Batch Bayesian Optimization for Complex Materials Design Campaigns
The accelerating pace and expanding scope of materials discovery demand optimization frameworks that efficiently navigate vast, nonlinear design spaces while judiciously allocating limited evaluation resources. We present a cost-aware, batch Bayesian optimization scheme powered by deep Gaussian process (DGP) surrogates and a heterotopic querying strategy. Our DGP surrogate, formed by stacking GP layers, models complex hierarchical relationships among high-dimensional compositional features and …

Towards Fast Coarse-graining and Equation Discovery with Foundation Inference Models
Manuel Hinz, Maximilian Mauel, Patrick Seifner, David Berghaus, Kostadin Cvejoski, Ramses J. Sanchez
https://arxiv.org/abs/2510.12618

Towards Fast Coarse-graining and Equation Discovery with Foundation Inference Models
High-dimensional recordings of dynamical processes are often characterized by a much smaller set of effective variables, evolving on low-dimensional manifolds. Identifying these latent dynamics requires solving two intertwined problems: discovering appropriate coarse-grained variables and simultaneously fitting the governing equations. Most machine learning approaches tackle these tasks jointly by training autoencoders together with models that enforce dynamical consistency. We propose to decou…

NewtonBench: Benchmarking Generalizable Scientific Law Discovery in LLM Agents
Tianshi Zheng, Kelvin Kiu-Wai Tam, Newt Hue-Nam K. Nguyen, Baixuan Xu, Zhaowei Wang, Jiayang Cheng, Hong Ting Tsang, Weiqi Wang, Jiaxin Bai, Tianqing Fang, Yangqiu Song, Ginny Y. Wong, Simon See
https://arxiv.org/abs/2510.07172

NewtonBench: Benchmarking Generalizable Scientific Law Discovery in LLM Agents
Large language models are emerging as powerful tools for scientific law discovery, a foundational challenge in AI-driven science. However, existing benchmarks for this task suffer from a fundamental methodological trilemma, forcing a trade-off between scientific relevance, scalability, and resistance to memorization. Furthermore, they oversimplify discovery as static function fitting, failing to capture the authentic scientific process of uncovering embedded laws through the interactive explora…

A 15 Mpc rotating galaxy filament at redshift z = 0.032
Madalina N. Tudorache, S. L. Jung, M. J. Jarvis, I. Heywood, A. A. Ponomareva, A. Varasteanu, N. Maddox, T. Yasin, M. Glowacki
https://arxiv.org/abs/2508.13053

A 15 Mpc rotating galaxy filament at redshift z = 0.032
Understanding the cold atomic hydrogen gas (HI) within cosmic filaments has the potential to pin down the relationship between the low density gas in the cosmic web and how the galaxies that lie within it grow using this material. We report the discovery of a cosmic filament using 14 HI-selected galaxies that form a very thin elongated structure of 1.7 Mpc. These galaxies are embedded within a much larger cosmic web filament, traced by optical galaxies, that spans at least $\sim 15$~Mpc. We fin…

Two unseen massive white dwarf candidates in close binaries
Yuta Shiraishi, Kenta Hotokezaka, Kento Masuda, Satoshi Honda, Ataru Tanikawa, Soetkin Janssens, Takato Tokuno, Takumi Shimasue, Ryoga Honjo, Bun'ei Sato, Masashi Omiya, Akito Tajitsu, Hideyuki Izumiura
https://arxiv.org/abs/2509.12808…

Two unseen massive white dwarf candidates in close binaries
We report the discovery of two binary systems, each consisting of a slightly bloated G-type main-sequence star and an unseen companion, identified through photometric data from TESS and radial velocity variation from Gaia. High-resolution spectroscopy confirms orbital periods of 1.37 and 2.67 days with circular orbits. The visible components have masses of $\sim 0.9\,M_\odot$, while the minimum masses of the unseen companions are $1.073^{+0.058}_{-0.060} M_\odot$ and $0.919^{+0.049}_{-0.051} M_…

Disney, Universal, and WBD sue China's MiniMax, alleging that its image- and video-generating service Hailuo AI was built from stolen intellectual property (Reuters)
https://www.reuters.com/legal/litigation/d

On Foundation Models for Temporal Point Processes to Accelerate Scientific Discovery
David Berghaus, Patrick Seifner, Kostadin Cvejoski, Ramses J. Sanchez
https://arxiv.org/abs/2510.12640

On Foundation Models for Temporal Point Processes to Accelerate Scientific Discovery
Many scientific fields, from medicine to seismology, rely on analyzing sequences of events over time to understand complex systems. Traditionally, machine learning models must be built and trained from scratch for each new dataset, which is a slow and costly process. We introduce a new approach: a single, powerful model that learns the underlying patterns of event data in context. We trained this "foundation model" on millions of simulated event sequences, teaching it a general-purpose understa…

High-Throughput Quantification of Altermagnetic Band Splitting
Ali Sufyan, Brahim Marfoua, J. Andreas Larsson, Erik van Loon, Rickard Armiento
https://arxiv.org/abs/2509.14729 h…

High-Throughput Quantification of Altermagnetic Band Splitting
Altermagnetism represents a recently established class of collinear magnetism that combines zero net magnetization with momentum-dependent spin polarization, enabled by symmetry constraints rather than spin-orbit coupling. This distinctive behavior gives rise to sizable spin splitting even in materials composed of light, earth-abundant elements, offering promising prospects for next-generation spintronics applications. Despite growing theoretical and experimental interest, the discovery of alte…

WBD files a copyright suit against Midjourney, accusing the startup of using its content to train AI and letting users generate images of characters like Batman (Winston Cho/The Hollywood Reporter)
https://www.hollywoodreporter.com/business

Warner Bros. Discovery Sues Major AI Company for Copyright Infringement
The lawsuit against Midjourney was filed as a growing contingent of Hollywood steps into the fight over generative artificial intelligence.

Discovery and Analysis of Afterglows from Poorly Localised GRBs with the Gravitational-wave Optical Transient Observer (GOTO) All-sky Survey
Amit Kumar, B. P. Gompertz, B. Schneider, S. Belkin, M. E. Wortley, A. Saccardi, D. O'Neill, K. Ackley, B. Rayson, A. de Ugarte Postigo, A. Gulati, D. Steeghs, D. B. Malesani, J. R. Maund, M. J. Dyer, S. Giarratana, M. Serino, Y. Julakanti, B. Kumar, D. Xu, R. A. J. Eyles-Ferris, Z. -P. Zhu, B. Warwick, Y. -D. Hu, I. Allen, G. Ramsay, R. L. C.…

Discovery and Analysis of Afterglows from Poorly Localised GRBs with the Gravitational-wave Optical Transient Observer (GOTO) All-sky Survey
Gamma-ray bursts (GRBs), particularly those detected by wide-field instruments such as the Fermi/GBM, pose a challenge for optical follow-up due to their large initial localisation regions, leaving many GRBs without identified afterglows. The Gravitational-wave Optical Transient Observer (GOTO), with its wide field of view, dual-site coverage, and robotic rapid-response capability, bridges this gap by rapidly identifying and localising afterglows from alerts issued by space-based facilities inc…

Sources: Paramount Skydance is in talks with private equity firms including Apollo Global Management to join its potential $60B bid for Warner Bros. Discovery (Charles Gasparino/New York Post)
https://nypost.com/2025/10/08/media/pa

Exclusive | Paramount Skydance talking to Apollo, buyout firms to join possible $60B Warner Bros. Discovery bid: sources
“These companies bring a lot to the table since they own stakes in Hollywood properties and have a lot of money,” said one source.

Multitask finetuning and acceleration of chemical pretrained models for small molecule drug property prediction
Matthew Adrian, Yunsie Chung, Kevin Boyd, Saee Paliwal, Srimukh Prasad Veccham, Alan C. Cheng
https://arxiv.org/abs/2510.12719

Multitask finetuning and acceleration of chemical pretrained models for small molecule drug property prediction
Chemical pretrained models, sometimes referred to as foundation models, are receiving considerable interest for drug discovery applications. The general chemical knowledge extracted from self-supervised training has the potential to improve predictions for critical drug discovery endpoints, including on-target potency and ADMET properties. Multi-task learning has previously been successfully leveraged to improve predictive models. Here, we show that enabling multitasking in finetuning of chemic…

(Follow-Up to an earlier paper about #GRB250702B in the thread) Discovery of a #GammaRayBurst from a #BlackHole Falling into a Star: https://arxiv.org/abs/2509.22792 -> discussion https://scicomm.xyz/@johncarlosbaez@mathstodon.xyz/115371873692093048

Reference Grounded Skill Discovery
Seungeun Rho, Aaron Trinh, Danfei Xu, Sehoon Ha
https://arxiv.org/abs/2510.06203 https://arxiv.org/pdf/2510.06203…

Reference Grounded Skill Discovery
Scaling unsupervised skill discovery algorithms to high-DoF agents remains challenging. As dimensionality increases, the exploration space grows exponentially, while the manifold of meaningful skills remains limited. Therefore, semantic meaningfulness becomes essential to effectively guide exploration in high-dimensional spaces. In this work, we present Reference-Grounded Skill Discovery (RGSD), a novel algorithm that grounds skill discovery in a semantically meaningful latent space using refer…

WBD sues Sling TV over its short-term offerings that let viewers access its bundle for as little as a day; Disney filed an identical suit in August (Winston Cho/The Hollywood Reporter)
https://www.hollywoodreporter.com/business

Warner Bros. Discovery Sues Sling TV Over Short-Term Bundles
The filing comes after Disney sued Dish over the offering of day passes, which allow viewers to bypass monthly subscriptions.

A Survey of Graph Neural Networks for Drug Discovery: Recent Developments and Challenges
Katherine Berry, Liang Cheng
https://arxiv.org/abs/2509.07887 https://

A Survey of Graph Neural Networks for Drug Discovery: Recent Developments and Challenges
Graph Neural Networks (GNNs) have gained traction in the complex domain of drug discovery because of their ability to process graph-structured data such as drug molecule models. This approach has resulted in a myriad of methods and models in published literature across several categories of drug discovery research. This paper covers the research categories comprehensively with recent papers, namely molecular property prediction, including drug-target binding affinity prediction, drug-drug inter…

Philo adds ad-supported tiers of HBO Max and Discovery to its Core package, raises the price from $28 to $33/month, and plans ad-free upgrades for early 2026 (Lucas Manfredi/The Wrap)
https://www.thewrap.com/philo-adds-ad-supported-hbo-max-discovery-plus/

Philo Expands Core Subscription Offering With Ad-Supported HBO Max, Discovery+
The Warner Bros. Discovery-owned streaming services will be available in an enhanced package for $33 per month

The NBA takes full control of NBA TV and the NBA App for the first time since 2008, after ending its partnership with Warner Bros. Discovery (Alex Weprin/The Hollywood Reporter)
https://www.hollywoodreporter.com/tv/tv-news/new-nba-tv-nba-app-2025-…

NBA Sets Reimagined NBA TV and NBA App
The league is taking full control over its cable channel and streaming platform, 17 years after Turner Sports and Warner Bros. Discovery first began running the operation.