Tootfinder

@… Yeah, I agree. I was also disappointed; I thought the alternative proposals in the thread (such as `<embed>` with MIME types) made a lot more sense, and it just culminates in Andreessen saying “fuck you, we’re doing what I proposed”.
And now we’re stuck with it. Thanks, Marc.

The Local Structure Theorem for Graph Minors with Finite Index
Christophe Paul, Evangelos Protopapas, Dimitrios M. Thilikos, Sebastian Wiederrecht
https://arxiv.org/abs/2507.02769

The Local Structure Theorem for Graph Minors with Finite Index
The Local Structure Theorem (LST) for graph minors roughly states that every $H$-minor free graph $G$ that contains a sufficiently large wall $W$, there is a set of few vertices $A$ such that, upon removing $A$, the resulting graph $G':=G - A$ admits an "almost embedding" $δ$ into a surface $Σ$ in which $H$ does not embed. By almost embedding, we mean that there exists a hypergraph $\mathcal{H}$ whose vertex set is a subset of the vertex set of $G$ and an embedding of $\mathcal{H}$ in $Σ$ su…

Resolving CAP Through Automata-Theoretic Economic Design: A Unified Mathematical Framework for Real-Time Partition-Tolerant Systems
Craig S Wright
https://arxiv.org/abs/2507.02464

Resolving CAP Through Automata-Theoretic Economic Design: A Unified Mathematical Framework for Real-Time Partition-Tolerant Systems
The CAP theorem asserts a trilemma between consistency, availability, and partition tolerance. This paper introduces a rigorous automata-theoretic and economically grounded framework that reframes the CAP trade-off as a constraint optimization problem. We model distributed systems as partition-aware state machines and embed economic incentive layers to stabilize consensus behavior across adversarially partitioned networks. By incorporating game-theoretic mechanisms into the global transition se…

Cacio e Pepe, the queen 👸🏻 of all the Roman dishes, and my favourite too!
NO butter, NO cream, NO bullshit.
This is the real one and this is my way of making it!
--Daniela Maiorano
the real deal
https://www.instagram.com/p/DFKGZnszaYI/?u

Daniela Maiorano on Instagram: "Cacio e Pepe, the queen 👸🏻 of all the Roman dishes, and my favourite too! 3 ingredients only: 👉🏻 parmigiano 👉🏻 pecorino 👉🏻 black pepper NO butter, NO cream, NO bullshit. This is the real one and this is my way of making it! I know you can taste it from there 🫠 #cacioepepe"
163K likes, 1,727 comments - daniela.maiorano on January 22, 2025: "Cacio e Pepe, the queen 👸🏻 of all the Roman dishes, and my favourite too! 3 ingredients only: 👉🏻 parmigiano 👉🏻 pecorino 👉🏻 black pepper NO butter, NO cream, NO bullshit. This is the real one and this is my way of making it! I know you can taste it from there 🫠 #cacioepepe".

Check out my day 2 notes (so far) for #CivicsOfTech25 the “Civics of Technology 2025 Conference.” Challenging & important presentations, esp from Chris Guilliard and Ian Linkletter:
https://wfryer.me/day2 

Notes - Civics Of Technology 2025 (July 31 - Aug 1)
Notes - Civics Of Technology 2025 (July 31 - Aug 1) What is this? My name is Wes Fryer and I am a middle school media literacy teacher in North Carolina. More links for me are on: https://wesfryer.com/after These are my notes and links from the July 31 / August 1 2025 “Civics of Technology”...

How to embed any likelihood into SBI: Application to Planck Stage IV galaxy surveys and Dynamical Dark Energy
Guillermo Franco Abell\'an, Noemi Anau Montel, Oleg Savchenko, Christoph Weniger
https://arxiv.org/abs/2507.22990

How to embed any likelihood into SBI: Application to Planck + Stage IV galaxy surveys and Dynamical Dark Energy
Simulation-based inference (SBI) allows fast Bayesian inference for simulators encoding implicit likelihoods. However, some explicit likelihoods cannot be easily reformulated as simulators, hindering their integration into combined analyses within SBI frameworks. One key example in cosmology is given by the Planck CMB likelihoods. We present a simple method to construct an effective simulator for any explicit likelihood using samples from a previously converged Markov Chain Monte Carlo (MCMC) r…

SNIFR : Boosting Fine-Grained Child Harmful Content Detection Through Audio-Visual Alignment with Cascaded Cross-Transformer
Orchid Chetia Phukan, Mohd Mujtaba Akhtar, Girish, Swarup Ranjan Behera, Abu Osama Siddiqui, Sarthak Jain, Priyabrata Mallick, Jaya Sai Kiran Patibandla, Pailla Balakrishna Reddy, Arun Balaji Buduru, Rajesh Sharma
https://

SNIFR : Boosting Fine-Grained Child Harmful Content Detection Through Audio-Visual Alignment with Cascaded Cross-Transformer
As video-sharing platforms have grown over the past decade, child viewership has surged, increasing the need for precise detection of harmful content like violence or explicit scenes. Malicious users exploit moderation systems by embedding unsafe content in minimal frames to evade detection. While prior research has focused on visual cues and advanced such fine-grained detection, audio features remain underexplored. In this study, we embed audio cues with visual for fine-grained child harmful c…

#† #RIP #AD2025 ♫ 🎸 🇬🇧 🦇 Ozzy Osbourne
https://www.youtube.com/embed/PrZFscfJxXc
¹

BadViM: Backdoor Attack against Vision Mamba
Yinghao Wu, Liyan Zhang
https://arxiv.org/abs/2507.00577 https://arxiv.org/pdf/2507.0057…

BadViM: Backdoor Attack against Vision Mamba
Vision State Space Models (SSMs), particularly architectures like Vision Mamba (ViM), have emerged as promising alternatives to Vision Transformers (ViTs). However, the security implications of this novel architecture, especially their vulnerability to backdoor attacks, remain critically underexplored. Backdoor attacks aim to embed hidden triggers into victim models, causing the model to misclassify inputs containing these triggers while maintaining normal behavior on clean inputs. This paper i…

This https://arxiv.org/abs/2501.01965 has been replaced.
initial toot: https://mastoxiv.page/@arX…

Linear inelastic kinetic equations modelling the spread of fake news and its interplay with personal awareness
In this paper, we introduce a kinetic model which describes a learning process leading individuals to build personal awareness about fake news. Next, we embed the results of this model into another kinetic model, which describes the popularity gained by news on social media conditioned to the reliability of the disseminated information. Both models are formulated in terms of linear inelastic Boltzmann-type equations, of which we investigate the main analytical properties - existence and uniquen…

Predictability of quantum observables: Applications in QKD and top quarks
Dennis I. Mart\'inez-Moreno, Miguel Castillo-Celeita, Diego G. Bussandri
https://arxiv.org/abs/2505.24502

Predictability of quantum observables: Applications in QKD and top quarks
We quantify and optimize the predictability of local observables in bipartite quantum systems by employing the Bayes risk and the inference variance, two measures rooted in statistical learning theory. Specifically, we minimized these quantities when the prediction is improved by an additional quantum system, providing analytical expressions for arbitrary two-qubit states, and showcasing a connection with Einstein-Podolsky-Rosen steering criteria. Then, we embed our Bayes risk minimization into…

April, which provides tax tools that embed directly into financial apps, raised a $38M Series B led by QED Investors, bringing its total funding to $78M (Ryan Lawler/Axios)
https://www.axios.com/pro/fintech-deals/2025/07/23/embedded-tax-startup-april-…

Exclusive: Embedded tax startup April raises $38M
The QED-led round fuels API-driven tax tools for fintechs.

this is very cool! you can embed UV glow powder into your body and have it glow in the dark after light exposure
[cw: blood, pictures of wounds] https://bioduck.me/2025/06/03/glow-powder-cuttings/
(via @…

Glow Powder Cuttings!
Glowing cuttings have been around for a while. Spyfoxls tried it many years ago. Now more people in the Biohackers Digital Discord have picked it up again and started sharing results. Several folks…

Hey #LibreOffice folks. Anyone know if it's possible to embed a video into a PDF export from Impress?

Combinatorial Approaches for Embedded Feature Selection in Nonlinear SVMs
Federico D'Onofrio, Yuri Faenza, Laura Palagi
https://arxiv.org/abs/2507.23711 https://

Combinatorial Approaches for Embedded Feature Selection in Nonlinear SVMs
Embedded Feature Selection (FS) is a classical approach for interpretable machine learning, aiming to identify the most relevant features of a dataset while simultaneously training the model. We consider an approach based on a hard cardinality constraint for nonlinear SVMs. To the best of our knowledge, hard-constraint approaches have been proposed only for the primal formulation of linear SVMs. In contrast, we embed a hard cardinality constraint directly into the dual of a nonlinear SVM, guara…

Bahnhof #Basel - Die Galerie Gleis 4 zeigt ab dem 06. September das Werk «Saint or Sinner» (Heiliger oder Sünder)
Kunst von Mason Storm instagram.com/masonstormgenius/?utm_source=ig_embed
https://www.

Donald Trump wird im Bahnhof Basel SBB ans Kreuz geschnallt
In der ehemaligen Brasserie im Westflügel kommt es zu einer Zwischennutzung der Galerie Gleis 4. Ein Werk dürfte an der Eröffnung für Aufsehen sorgen.

My notes and links from the #CivicsOfTech25 conference: https://wfryer.me/civicsoftech25
Follow presenters & participants via this BlueSky Starter Pack:

Notes - Civics Of Technology 2025 (July 31 - Aug 1)
Notes - Civics Of Technology 2025 (July 31 - Aug 1) What is this? My name is Wes Fryer and I am a middle school media literacy teacher in North Carolina. More links for me are on: https://wesfryer.com/after These are my notes and links from the July 31 / August 1 2025 “Civics of Technology” Co...

The $\theta$-vacuum from functional renormalisation
Yuepeng Guan, Jan M. Pawlowski, Masatoshi Yamada
https://arxiv.org/abs/2507.22318 https://arxiv.org/pdf…

The $θ$-vacuum from functional renormalisation
We study topological properties of a quantum mechanical system with $U(1)$-symmetry within the functional renormalisation group (fRG) approach. These properties include the vacuum energy structure and the topological susceptibility. Our approach works with a complexification of the flow equation, and specifically we embed the original symmetry into the complex plane, $U(1)\rightarrow \mathbb{C}$. We compute the effective potential of a given topological sector by restricting ourselves to field …

The #DefendResearch team, through the efforts of @… , is maintaining a list of public statements supporting research & higher education against threats from the Trump administration. Please submit any that are missing.

Uncovering smooth structures in single-cell data with PCS-guided neighbor embeddings
Rong Ma, Xi Li, Jingyuan Hu, Bin Yu
https://arxiv.org/abs/2506.22228 h…

Uncovering smooth structures in single-cell data with PCS-guided neighbor embeddings
Single-cell sequencing is revolutionizing biology by enabling detailed investigations of cell-state transitions. Many biological processes unfold along continuous trajectories, yet it remains challenging to extract smooth, low-dimensional representations from inherently noisy, high-dimensional single-cell data. Neighbor embedding (NE) algorithms, such as t-SNE and UMAP, are widely used to embed high-dimensional single-cell data into low dimensions. But they often introduce undesirable distortio…

BS-1-to-N: Diffusion-Based Environment-Aware Cross-BS Channel Knowledge Map Generation for Cell-Free Networks
Zhuoyin Dai, Di Wu, Yong Zeng, Xiaoli Xu, Xinyi Wang, Zesong Fei
https://arxiv.org/abs/2507.23236

BS-1-to-N: Diffusion-Based Environment-Aware Cross-BS Channel Knowledge Map Generation for Cell-Free Networks
Channel knowledge map (CKM) inference across base stations (BSs) is the key to achieving efficient environmentaware communications. This paper proposes an environmentaware cross-BS CKM inference method called BS-1-to-N based on the generative diffusion model. To this end, we first design the BS location embedding (BSLE) method tailored for cross-BS CKM inference to embed BS location information in the feature vector of CKM. Further, we utilize the cross- and self-attention mechanism for the pro…

Chunk Twice, Embed Once: A Systematic Study of Segmentation and Representation Trade-offs in Chemistry-Aware Retrieval-Augmented Generation
Mahmoud Amiri, Thomas Bocklitz
https://arxiv.org/abs/2506.17277

Chunk Twice, Embed Once: A Systematic Study of Segmentation and Representation Trade-offs in Chemistry-Aware Retrieval-Augmented Generation
Retrieval-Augmented Generation (RAG) systems are increasingly vital for navigating the ever-expanding body of scientific literature, particularly in high-stakes domains such as chemistry. Despite the promise of RAG, foundational design choices -- such as how documents are segmented and represented -- remain underexplored in domain-specific contexts. This study presents the first large-scale, systematic evaluation of chunking strategies and embedding models tailored to chemistry-focused RAG syst…

everyonehateselon_ on Instagram: It would be such a shame for Donald if this photo of Trump with Jeffrey Epstein appeared absolutely EVERYWHERE on his tour of the UK. It would truly be such a huge shame if everyone donated to make that happen 👀 link in bio x
https://www.instagram.com/reel/DMNNZegI8qO/?utm_source=ig_embed&ig_rid=0825a374-d4be-4fd1-8965-53c68571a6a2

Talking Transactions: Decentralized Communication through Ethereum Input Data Messages (IDMs)
Xihan Xiong, Zhipeng Wang, Qin Wang, Endong Liu, Pascal Berrang, William Knottenbelt
https://arxiv.org/abs/2505.24724

Talking Transactions: Decentralized Communication through Ethereum Input Data Messages (IDMs)
Can you imagine, blockchain transactions can talk! In this paper, we study how they talk and what they talk about. We focus on the input data field of Ethereum transactions, which is designed to allow external callers to interact with smart contracts. In practice, this field also enables users to embed natural language messages into transactions. Users can leverage these Input Data Messages (IDMs) for peer-to-peer communication. This means that, beyond Ethereum's well-known role as a financial …

Multifunctional physical reservoir computing in soft tensegrity robots
Ryo Terajima, Katsuma Inoue, Kohei Nakajima, Yasuo Kuniyoshi
https://arxiv.org/abs/2507.21496 https://

Multifunctional physical reservoir computing in soft tensegrity robots
Recent studies have demonstrated that the dynamics of physical systems can be utilized for the desired information processing under the framework of physical reservoir computing (PRC). Robots with soft bodies are examples of such physical systems, and their nonlinear body-environment dynamics can be used to compute and generate the motor signals necessary for the control of their own behavior. In this simulation study, we extend this approach to control and embed not only one but also multiple …

An instance of FreeCHR with refined operational semantics
Sascha Rechenberger, Thom Fr\"uhwirth
https://arxiv.org/abs/2505.22155 https://

An instance of FreeCHR with refined operational semantics
Constraint Handling Rules (CHR) is a rule-based programming language which is typically embedded into a general-purpose language. There exists a plethora of implementations of CHR for numerous host languages. However, the existing implementations often reinvent the way to embed CHR, which impedes maintenance and weakens assertions of correctness. To formalize and thereby unify the embedding of CHR into arbitrary host languages, we introduced the framework FreeCHR and proved it to be a valid rep…

Preliminary orbits with over-determined systems of Keplerian conservation laws
Clara Grassi, Giovanni Federico Gronchi
https://arxiv.org/abs/2507.20709 https://

Preliminary orbits with over-determined systems of Keplerian conservation laws
We consider different choices of Keplerian conservation laws for the computation of preliminary orbits with two very short arcs (VSAs) of astrometric observations. In total we have 7 equations in 4 unknowns. Adding two auxiliary variables we can embed the full set of conservation laws into a polynomial system of 9 equations. This complete system generically has no solutions. However, combining these equations, in [10] the authors found an over-determined polynomial system that is consistent, an…

Embeddings of Certain Exceptional Shimura Varieties into Siegel Modular Varieties
Mohammad Hadi Hedayatzadeh, Ali Partofard
https://arxiv.org/abs/2506.21217

Embeddings of Certain Exceptional Shimura Varieties into Siegel Modular Varieties
We define a class of local Shimura varieties that contains some local Shimura varieties for exceptional groups, and for this class, we construct a functor from $\left(G, μ\right)$-displays to $p$-divisible groups. As an application, we prove that for this class, the local Shimura variety is representable and perfectoid at the infinite level. Considering the global counterpart of this class, we embed certain exceptional Shimura varieties into Siegel modular varieties. In particular, we prove th…

Physics-Informed Neural Networks with Dynamical Boundary Constraints
Andr\'es Mart\'inez-Esteban, Pablo Calvo-Barl\'es, Luis Mart\'in-Moreno, Sergio G Rodrigo
https://arxiv.org/abs/2507.21800

Physics-Informed Neural Networks with Dynamical Boundary Constraints
Physics-informed neural networks (PINNs) are numerical solvers that embed all the physical information of a system into the loss function of a neural network. In this way the learned solution accounts for data (if available), the governing differential equations, or any other constraint known of the physical problem. However, they face serious issues, notably their tendency to converge on trivial or misleading solutions. The latter occurs when, although the loss function reaches low values the …

WGRAMMAR: Leverage Prior Knowledge to Accelerate Structured Decoding
Ran Wang, Xiaoxuan Liu, Hao Ren, Gang Chen, Fanchao Qi, Maosong Sun
https://arxiv.org/abs/2507.16768

WGRAMMAR: Leverage Prior Knowledge to Accelerate Structured Decoding
Structured decoding enables large language models (LLMs) to generate outputs in formats required by downstream systems, such as HTML or JSON. However, existing methods suffer from efficiency bottlenecks due to grammar compilation, state tracking, and mask creation. We observe that many real-world tasks embed strong prior knowledge about output structure. Leveraging this, we propose a decomposition of constraints into static and dynamic components -- precompiling static structures offline and in…

Surrogate normal-forms for the numerical bifurcation and stability analysis of navier-stokes flows via machine learning
Alessandro Della Pia, Dimitrios G. Patsatzis, Gianluigi Rozza, Lucia Russo, Constantinos Siettos
https://arxiv.org/abs/2506.21275

Surrogate normal-forms for the numerical bifurcation and stability analysis of navier-stokes flows via machine learning
Inspired by the Equation-Free multiscale modeling approach, we demonstrate how the embed-learn-lift framework enables the construction of surrogate normal-forms, namely minimal-dimensional reduced-order models (ROMs), from high-fidelity Navier-Stokes simulations. These surrogate models are then used for efficient and accurate bifurcation and stability analysis. The framework proceeds in four steps. First, manifold learning reveals the intrinsic latent dimension of the high-dimensional spatio-te…

An interview with Leah Belsky, OpenAI's VP of Education, as the startup competes with Google and others to offer premium AI tools to universities and students (Natasha Singer/New York Times)
https://www.nytimes.com/2025/06/07/technol…

Inside OpenAI’s Plan to Embed ChatGPT Into College Students’ Lives
OpenAI, the firm that helped spark chatbot cheating, wants to embed A.I. in every facet of college. First up: 460,000 students at Cal State.

Layered Interactions: Exploring Non-Intrusive Digital Craftsmanship Design Through Lacquer Art Interfaces
Yan Dong, Hanjie Yu, Yanran Chen, Zipeng Zhang, Qiong Wu
https://arxiv.org/abs/2507.17430

Layered Interactions: Exploring Non-Intrusive Digital Craftsmanship Design Through Lacquer Art Interfaces
Integrating technology with the distinctive characteristics of craftsmanship has become a key issue in the field of digital craftsmanship. This paper introduces Layered Interactions, a design approach that seamlessly merges Human-Computer Interaction (HCI) technologies with traditional lacquerware craftsmanship. By leveraging the multi-layer structure and material properties of lacquerware, we embed interactive circuits and integrate programmable hardware within the layers, creating tangible in…

Free commutative skew braces
Thomas Letourmy
https://arxiv.org/abs/2506.19765 https://arxiv.org/pdf/2506.19765

Free commutative skew braces
The main result of this paper is an explicit construction of the free commutative skew brace -- that is, a skew brace whose circle group is commutative -- on an arbitrary generating set $X$. We embed this object into a set of rational functions and show that a simple linear equation characterizes the image of this embedding. As a consequence, comparing elements in this skew brace is no more difficult than comparing elements in the free commutative group generated by $X$.

Compatible with existing embed_content endpoint via #GoogleAIStudio 📊 Outperforms previous #textembedding models across diverse tasks including retrieval and classification

Hate in Plain Sight: On the Risks of Moderating AI-Generated Hateful Illusions
Yiting Qu, Ziqing Yang, Yihan Ma, Michael Backes, Savvas Zannettou, Yang Zhang
https://arxiv.org/abs/2507.22617

Hate in Plain Sight: On the Risks of Moderating AI-Generated Hateful Illusions
Recent advances in text-to-image diffusion models have enabled the creation of a new form of digital art: optical illusions--visual tricks that create different perceptions of reality. However, adversaries may misuse such techniques to generate hateful illusions, which embed specific hate messages into harmless scenes and disseminate them across web communities. In this work, we take the first step toward investigating the risks of scalable hateful illusion generation and the potential for bypa…

Attributes Shape the Embedding Space of Face Recognition Models
Pierrick Leroy, Antonio Mastropietro, Marco Nurisso, Francesco Vaccarino
https://arxiv.org/abs/2507.11372

Attributes Shape the Embedding Space of Face Recognition Models
Face Recognition (FR) tasks have made significant progress with the advent of Deep Neural Networks, particularly through margin-based triplet losses that embed facial images into high-dimensional feature spaces. During training, these contrastive losses focus exclusively on identity information as labels. However, we observe a multiscale geometric structure emerging in the embedding space, influenced by interpretable facial (e.g., hair color) and image attributes (e.g., contrast). We propose a …

From Bytes to Ideas: Language Modeling with Autoregressive U-Nets
Mathurin Videau, Badr Youbi Idrissi, Alessandro Leite, Marc Schoenauer, Olivier Teytaud, David Lopez-Paz
https://arxiv.org/abs/2506.14761

From Bytes to Ideas: Language Modeling with Autoregressive U-Nets
Tokenization imposes a fixed granularity on the input text, freezing how a language model operates on data and how far in the future it predicts. Byte Pair Encoding (BPE) and similar schemes split text once, build a static vocabulary, and leave the model stuck with that choice. We relax this rigidity by introducing an autoregressive U-Net that learns to embed its own tokens as it trains. The network reads raw bytes, pools them into words, then pairs of words, then up to 4 words, giving it a mul…

📈 Zohran Mamdani Is Proposing Green Abundance for the Many
#politics

Zohran Mamdani Is Proposing Green Abundance for the Many
The New York City mayoral campaign of Zohran Mamdani is focused on lowering the cost of living. It can serve as a blueprint for progressives seeking to embed climate action in real improvements for working peoples’ everyday lives.

Higher-derivative Heterotic Kerr-Sen Black Holes
Peng-Ju Hu, Liang Ma, Yi Pang, Robert J. Saskowski
https://arxiv.org/abs/2506.20077 https://

Higher-derivative Heterotic Kerr-Sen Black Holes
We obtain the four-derivative corrections to the Kerr-Sen solution in heterotic supergravity, which includes the Gibbons-Maeda-Garfinkle-Horowitz-Strominger solution as a limiting case. In particular, we first embed the Kerr solution into heterotic supergravity and compute the higher-derivative corrections. We then obtain the corrections to the Kerr-Sen solution by performing an $O(2,1)$ boost of the Kerr solution, which, in contrast to the two-derivative case, requires field redefinitions to m…

Bespoke multiresolution analysis of graph signals
Giacomo Elefante, Gianluca Giacchi, Michael Multerer, Jacopo Quizi
https://arxiv.org/abs/2507.19181 https://

Bespoke multiresolution analysis of graph signals
We present a novel framework for discrete multiresolution analysis of graph signals. The main analytical tool is the samplet transform, originally defined in the Euclidean framework as a discrete wavelet-like construction, tailored to the analysis of scattered data. The first contribution of this work is defining samplets on graphs. To this end, we subdivide the graph into a fixed number of patches, embed each patch into a Euclidean space, where we construct samplets, and eventually pull the co…

On the geometry of a 4-dimensional extension of a $q$-Painlev\'e I equation with symmetry type $A_1^{(1)}$
Alexander Stokes, Tomoyuki Takenawa, Adrian Stefan Carstea
https://arxiv.org/abs/2506.21092

On the geometry of a 4-dimensional extension of a $q$-Painlevé I equation with symmetry type $A_1^{(1)}$
We present a geometric study of a four-dimensional integrable discrete dynamical system which extends the autonomous form of a $q$-Painlevé I equation with symmetry of type $A_1^{(1)}$. By resolution of singularities it is lifted to a pseudo-automorphism of a rational variety obtained from $({\mathbb P}^1)^{\times 4}$ by blowing up along 28 subvarieties and we use this to establish its integrability in terms of conserved quantities and degree growth. We embed this rational variety into a famil…

Multi-use LLM Watermarking and the False Detection Problem
Zihao Fu, Chris Russell
https://arxiv.org/abs/2506.15975 https://arxiv.org…

Multi-use LLM Watermarking and the False Detection Problem
Digital watermarking is a promising solution for mitigating some of the risks arising from the misuse of automatically generated text. These approaches either embed non-specific watermarks to allow for the detection of any text generated by a particular sampler, or embed specific keys that allow the identification of the LLM user. However, simultaneously using the same embedding for both detection and user identification leads to a false detection problem, whereby, as user capacity grows, unwat…

Mycelium: A Transformation-Embedded LSM-Tree
Holly Casaletto, Jeff Lefevre, Aldrin Montana, Peter Alvaro
https://arxiv.org/abs/2506.08923 https://

Mycelium: A Transformation-Embedded LSM-Tree
Compaction is a necessary, but often costly background process in write-optimized data structures like LSM-trees that reorganizes incoming data that is sequentially appended to logs. In this paper, we introduce Transformation-Embedded LSM-trees (TE-LSM), a novel approach that transparently embeds a variety of data transformations into the compaction process. While many others have sought to reduce the high cost of compaction, TE-LSMs leverage the opportunity to embed other useful work to amorti…

Causal effects on non-terminal event time with application to antibiotic usage and future resistance
Tamir Zehavi, Uri Obolski, Michal Chowers, Daniel Nevo
https://arxiv.org/abs/2506.09624

Causal effects on non-terminal event time with application to antibiotic usage and future resistance
Comparing future antibiotic resistance levels resulting from different antibiotic treatments is challenging because some patients may survive only under one of the antibiotic treatments. We embed this problem within a semi-competing risks approach to study the causal effect on resistant infection, treated as a non-terminal event time. We argue that existing principal stratification estimands for such problems exclude patients for whom a causal effect is well-defined and is of clinical interest.…

In this moment when equity & inclusion efforts are being hindered & erased, the DLF Committee on Equity & Inclusion is creating a Zotero library of related resources for the GLAM community. Let us know what topics would be most helpful to you: https://docs.google.com/f…

ChartBlender: An Interactive System for Authoring and Synchronizing Visualization Charts in Video
Yi He, Yuqi Liu, Chenpu Li, Ruoyan Chen, Chuer Chen, Shengqi Dang, Nan Cao
https://arxiv.org/abs/2506.13129

ChartBlender: An Interactive System for Authoring and Synchronizing Visualization Charts in Video
Embedding data visualizations in video can enhance the communication of complex information. However, this process is often labor-intensive, requiring designers to adjust visualizations frame by frame manually. In this work, we present ChartBlender, a novel system that streamlines this process by enabling users to create data visualizations, embed them seamlessly into video scenes, and automatically synchronize them with both camera motion and moving objects. Particularly, ChartBlender incorpor…

LangSplatV2: High-dimensional 3D Language Gaussian Splatting with 450 FPS
Wanhua Li, Yujie Zhao, Minghan Qin, Yang Liu, Yuanhao Cai, Chuang Gan, Hanspeter Pfister
https://arxiv.org/abs/2507.07136

LangSplatV2: High-dimensional 3D Language Gaussian Splatting with 450+ FPS
In this paper, we introduce LangSplatV2, which achieves high-dimensional feature splatting at 476.2 FPS and 3D open-vocabulary text querying at 384.6 FPS for high-resolution images, providing a 42 $\times$ speedup and a 47 $\times$ boost over LangSplat respectively, along with improved query accuracy. LangSplat employs Gaussian Splatting to embed 2D CLIP language features into 3D, significantly enhancing speed and learning a precise 3D language field with SAM semantics. Such advancements in 3D …

Norming Sets for Tensor and Polynomial Sketching
Yifan Zhang, Joe Kileel
https://arxiv.org/abs/2506.05174 https://arxiv.org/pdf/2506.…

Norming Sets for Tensor and Polynomial Sketching
This paper develops the sketching (i.e., randomized dimension reduction) theory for real algebraic varieties and images of polynomial maps, including, e.g., the set of low rank tensors and tensor networks. Through the lens of norming sets, we provide a framework for controlling the sketching dimension for \textit{any} sketch operator used to embed said sets, including sub-Gaussian, fast Johnson-Lindenstrauss, and tensor structured sketch operators. Leveraging norming set theory, we propose a ne…

Topological Holography for Mixed-State Phases and Phase Transitions
Ran Luo, Yi-Nan Wang, Zhen Bi
https://arxiv.org/abs/2507.06218 https://

Topological Holography for Mixed-State Phases and Phase Transitions
We extend the symmetry topological field theory (SymTFT) framework to open quantum systems. Using canonical purification, we embed mixed states into a doubled (2+1)-dimensional topological order and employ the slab construction to study (1+1)-dimensional mixed-state phases through condensable algebras in the doubled SymTFT. Hermiticity and positivity of the density matrix impose additional constraints on allowable anyon condensations, enabling a systematic classification of mixed-state phases -…

On the prospects of thermalization of axion-SU(2) inflation
Sukannya Bhattacharya, Matteo Fasiello, Alexandros Papageorgiou, Ema Dimastrogiovanni
https://arxiv.org/abs/2506.11853 …

On the prospects of thermalization of axion-SU(2) inflation
Axion inflation models coupled to a gauge sector via a Chern-Simons term exhibit an array of interesting phenomenology including a chiral gravitational wave spectrum and primordial black hole production. They may also provide a useful mechanism for generating lepton asymmetry. The possibility to embed this class of models in UV-finite theories and their intriguing, testable, signatures make for a compelling candidate for early acceleration. Due to the Chern-Simons coupling, gauge modes may unde…

This https://arxiv.org/abs/2505.24502 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_qu…

Predictability of quantum observables: Applications in QKD and top quarks
We quantify and optimize the predictability of local observables in bipartite quantum systems by employing the Bayes risk and the inference variance, two measures rooted in statistical learning theory. Specifically, we minimized these quantities when the prediction is improved by an additional quantum system, providing analytical expressions for arbitrary two-qubit states, and showcasing a connection with Einstein-Podolsky-Rosen steering criteria. Then, we embed our Bayes risk minimization into…

Slides for today's #MediaEdLab #MediaEdClub webinar on "Privacy, Power and Platforms"
htt…

Privacy, Power, and Platforms - MediaEd Club (7 July 2025) by wesfryer.com
Privacy, Power, and Platforms 7 July 2025 Facilitated by Wes Fryer mediaeducationlab.com/mediaed-club/upcoming-meetings

Dynamic guessing for Hamiltonian Monte Carlo with embedded numerical root-finding
Teddy Groves, Nicholas Luke Cowie, Lars Keld Nielsen
https://arxiv.org/abs/2506.15423

Dynamic guessing for Hamiltonian Monte Carlo with embedded numerical root-finding
Modern implementations of Hamiltonian Monte Carlo and related MCMC algorithms support sampling of probability functions that embed numerical root-finding algorithms, thereby allowing fitting of statistical models involving analytically intractable algebraic constraints. However the application of these models in practice is limited by the computational cost of computing large numbers of numerical solutions. We identify a key limitation of previous approaches to HMC with embedded root-finding, w…

Semi-fragile watermarking of remote sensing images using DWT, vector quantization and automatic tiling
Jordi Serra-Ruiz, David Meg\'ias
https://arxiv.org/abs/2507.07250

Semi-fragile watermarking of remote sensing images using DWT, vector quantization and automatic tiling
A semi-fragile watermarking scheme for multiple band images is presented in this article. We propose to embed a mark into remote sensing images applying a tree-structured vector quantization approach to the pixel signatures instead of processing each band separately. The signature of the multispectral or hyperspectral image is used to embed the mark in it order to detect any significant modification of the original image. The image is segmented into three-dimensional blocks, and a tree-structur…

ODE-GS: Latent ODEs for Dynamic Scene Extrapolation with 3D Gaussian Splatting
Daniel Wang, Patrick Rim, Tian Tian, Alex Wong, Ganesh Sundaramoorthi
https://arxiv.org/abs/2506.05480

ODE-GS: Latent ODEs for Dynamic Scene Extrapolation with 3D Gaussian Splatting
We present ODE-GS, a novel method that unifies 3D Gaussian Splatting with latent neural ordinary differential equations (ODEs) to forecast dynamic 3D scenes far beyond the time span seen during training. Existing neural rendering systems - whether NeRF- or 3DGS-based - embed time directly in a deformation network and therefore excel at interpolation but collapse when asked to predict the future, where timestamps are strictly out-of-distribution. ODE-GS eliminates this dependency: after learning…

Real-time prediction of plasma instabilities with sparse-grid-accelerated optimized dynamic mode decomposition
Kevin Gill, Ionut-Gabriel Farcas, Silke Glas, Benjamin J. Faber
https://arxiv.org/abs/2507.03245

Real-time prediction of plasma instabilities with sparse-grid-accelerated optimized dynamic mode decomposition
Parametric data-driven reduced-order models (ROMs) that embed dependencies in a large number of input parameters are crucial for enabling many-query tasks in large-scale problems. These tasks, including design optimization, control, and uncertainty quantification, are essential for developing digital twins in real-world applications. However, standard training data generation methods are computationally prohibitive due to the curse of dimensionality, as their cost scales exponentially with the …

Functional Time Series Forecasting of Distributions: A Koopman-Wasserstein Approach
Ziyue Wang, Yuko Araki
https://arxiv.org/abs/2507.07570 https://…

Functional Time Series Forecasting of Distributions: A Koopman-Wasserstein Approach
We propose a novel method for forecasting the temporal evolution of probability distributions observed at discrete time points. Extending the Dynamic Probability Density Decomposition (DPDD), we embed distributional dynamics into Wasserstein geometry via a Koopman operator framework. Our approach introduces an importance-weighted variant of Extended Dynamic Mode Decomposition (EDMD), enabling accurate, closed-form forecasts in 2-Wasserstein space. Theoretical guarantees are established: our est…

GaussMarker: Robust Dual-Domain Watermark for Diffusion Models
Kecen Li, Zhicong Huang, Xinwen Hou, Cheng Hong
https://arxiv.org/abs/2506.11444 https://

GaussMarker: Robust Dual-Domain Watermark for Diffusion Models
As Diffusion Models (DM) generate increasingly realistic images, related issues such as copyright and misuse have become a growing concern. Watermarking is one of the promising solutions. Existing methods inject the watermark into the single-domain of initial Gaussian noise for generation, which suffers from unsatisfactory robustness. This paper presents the first dual-domain DM watermarking approach using a pipelined injector to consistently embed watermarks in both the spatial and frequency d…

How Not to Detect Prompt Injections with an LLM
Sarthak Choudhary, Divyam Anshumaan, Nils Palumbo, Somesh Jha
https://arxiv.org/abs/2507.05630 https://

How Not to Detect Prompt Injections with an LLM
LLM-integrated applications and agents are vulnerable to prompt injection attacks, in which adversaries embed malicious instructions within seemingly benign user inputs to manipulate the LLM's intended behavior. Recent defenses based on $\textit{known-answer detection}$ (KAD) have achieved near-perfect performance by using an LLM to classify inputs as clean or contaminated. In this work, we formally characterize the KAD framework and uncover a structural vulnerability in its design that invalid…

This https://arxiv.org/abs/2410.11295 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCR_…

BRC20 Pinning Attack
BRC20 tokens are a type of non-fungible asset on the Bitcoin network. They allow users to embed customised content within Bitcoin's satoshis. The token frenzy reached a market size of US\$2.811\,b (2023Q3--2025Q1). However, this intuitive design has not undergone serious security scrutiny. We present the first analysis of BRC20's \emph{transfer} mechanism and identify a new attack vector. A typical BRC20 transfer involves two "bundled" on-chain transactions with different fee levels: the firs…