Carlos's Debrief

April 30, 2026 11:00
50ArXiv Papers
21Web Findings
71Total Sources
Topics searched: Artificial Intelligence Machine Learning Large Language Models Security & Cybersecurity Cryptography Zero Knowledge Quantum Computing Crypto & Blockchain AI Agents & Reasoning AI Safety & Alignment
April 30, 2026 11:00 — Curated by Hermes Research Scout

⚡ Quick Summary

📰 News Headlines

📄 ArXiv Papers

🧠 LLMs 15

Turning the TIDE: Cross-Architecture Distillation for Diffusion Large Language Models [1]
Gongbo Zhang, Wen Wang, Ye Tian, Li Yuan
Diffusion large language models (dLLMs) offer parallel decoding and bidirectional context, but state-of-the-art dLLMs require billions of parameters for…
cs.CL
Causal Learning with Neural Assemblies [2]
Evangelia Kopadi, Dimitris Kalles
Can Neural Assemblies -- groups of neurons that fire together and strengthen through co-activation -- learn the direction of causal influence between…
cs.LG
Resume-ing Control: (Mis)Perceptions of Agency Around GenAI Use in Recruiting Workflows [5]
Sajel Surati, Rosanna Bellini, Emily Black
When generative AI (genAI) systems are used in high-stakes decision-making, its recommended role is to aid, rather than replace, human decision-making.…
cs.CY
Language Diffusion Models are Associative Memories Capable of Retrieving Unseen Data [6]
Bao Pham, Mohammed J. Zaki, Luca Ambrogioni, Dmitry Krotov, Matteo Negri
When do language diffusion models memorize their training data, and how to quantitatively assess their true generative regime? We address these questions by…
cs.LG
HalluCiteChecker: A Lightweight Toolkit for Hallucinated Citation Detection and Verification in the Era of AI Scientists [7]
Yusuke Sakai, Hidetaka Kamigaito, Taro Watanabe
We introduce HalluCiteChecker, a toolkit for detecting and verifying hallucinated citations in scientific papers. While AI assistant technologies have…
cs.CL
Rule-based High-Level Coaching for Goal-Conditioned Reinforcement Learning in Search-and-Rescue UAV Missions Under Limited-Simulation Training [8]
Mahya Ramezani, Holger Voos
This paper presents a hierarchical decision-making framework for unmanned aerial vehicle (UAV) missions motivated by search-and-rescue (SAR) scenarios under…
cs.RO
Random Cloud: Finding Minimal Neural Architectures Without Training [9]
Javier Gil Blázquez
I propose the \emph{Random Cloud} method, a training-free approach to neural architecture search that discovers minimal feedforward network topologies through…
cs.LG
ViCrop-Det: Spatial Attention Entropy Guided Cropping for Training-Free Small-Object Detection [10]
Hui Wang, Hongze Li, Wei Chen, Xiaojin Zhang
Transformer-based architectures have established a dominant paradigm in global semantic perception; however, they remain fundamentally constrained by the…
cs.CV
Outer-Crust Equations of State for Neutron Stars [18]
P. S. Koliogiannis, N. Paar
We construct and systematically assess four outer-crust equations of state based on relativistic nuclear mass models and a machine-learning mass table. Our aim…
nucl-th
Anomalous Transport and Explicit Symmetry Breaking in Holography [19]
Ashis Tamang, Nishal Rai, Karl Landsteiner, Eugenio Megias
We consider a holographic Einstein-Maxwell model in five dimensions with pure gauge and mixed gauge-gravitational Chern-Simons terms to study anomaly-induced…
hep-th
Optimizing Dynamic Metasurface Antenna Configurations for Direction-of-Arrival and Polarization Estimation Using an Experimentally Calibrated Multiport-Network Model [20]
Jean Tapie, Philipp del Hougne
Sensing the direction of arrival and polarization of impinging signals is a key prerequisite for beamforming and interference mitigation in modern wireless…
eess.SP
Large quantum dot energy level shifts in anomalous photon-assisted tunneling [21]
Jared Benson, C. E. Sturner, A. R. Huffman, Sanghyeok Park, Valentin John, Brighton X. Coe, Tyler J. Kovach, Stefan D. Oosterhout, Lucas E. A. Stehouwer, Francesco Borsoi, Giordano Scappucci, Menno Veldhorst, Benjamin D. Woods, Mark Friesen, M. A. Eriksson
Orbital energy splittings are important quantum dot parameters for the operation of hole spin qubits. They are known to depend on the lateral confinement of…
cond-mat.mes-hall
Three-Step Nav: A Hierarchical Global-Local Planner for Zero-Shot Vision-and-Language Navigation [22]
Wanrong Zheng, Yunhao Ge, Laurent Itti
Breakthrough progress in vision-based navigation through unknown environments has been achieved by using multimodal large language models (MLLMs). These models…
cs.CV
ProcFunc: Function-Oriented Abstractions for Procedural 3D Generation in Python [23]
Alexander Raistrick, Karhan Kayan, Jack Nugent, David Yan, Lingjie Mei, Meenal Parakh, Hongyu Wen, Dylan Li, Yiming Zuo, Erich Liang, Jia Deng
We introduce ProcFunc, a library for Blender-based procedural 3D generation in Python. ProcFunc provides a library of easy-to-use Python functions, which…
cs.CV
Select to Think: Unlocking SLM Potential with Local Sufficiency [24]
Wenxuan Ye, Yangyang Zhang, Xueli An, Georg Carle, Yunpu Ma
Small language models (SLMs) offer computational efficiency for scalable deployment, yet they often fall short of the reasoning power exhibited by their larger…
cs.CL

📊 Machine Learning 10

Recent Advances in mm-Wave and Sub-THz/THz Oscillators for FutureG Technologies [4]
Baktash Behmanesh, Ahmad Rezvanitabar
This paper provides a concise yet comprehensive review of recent advancements in millimeter-wave (mm-wave) oscillators below 100 GHz and sub-terahertz…
eess.SP
Hyper Input Convex Neural Networks for Shape Constrained Learning and Optimal Transport [11]
Shayan Hundrieser, Insung Kong, Johannes Schmidt-Hieber
We introduce Hyper Input Convex Neural Networks (HyCNNs), a novel neural network architecture designed for learning convex functions. HyCNNs combine the…
cs.LG
Learning Over-Relaxation Policies for ADMM with Convergence Guarantees [12]
Junan Lin, Paul J. Goulart, Luca Furieri
The Alternating Direction Method of Multipliers (ADMM) is a widely used method for structured convex optimization, and its practical performance depends…
math.OC
A Note on How to Remove the $\ln\ln T$ Term from the Squint Bound [13]
Francesco Orabona
In Orabona and Pál [2016], we introduced the shifted KT potentials, to remove the $\ln \ln T$ factor in the parameter-free learning with expert bound. In this…
cs.LG
On the Learning Curves of Revenue Maximization [14]
Steve Hanneke, Alkis Kalavasis, Shay Moran, Grigoris Velegkas
Learning curves are a fundamental primitive in supervised learning, describing how an algorithm's performance improves with more data and providing a…
cs.LG
Stochastic Scaling Limits and Synchronization by Noise in Deep Transformer Models [15]
Andrea Agazzi, Giuseppe Bruno, Eloy Mosig García, Samuele Saviozzi, Marco Romito
We prove pathwise convergence of the layerwise evolution of tokens in a finite-depth, finite-width transformer model with MultiLayer Perceptron (MLP) blocks to…
math.PR
Multiple Additive Neural Networks for Structured and Unstructured Data [16]
Janis Mohr, Jörg Frochte
This paper extends and explains the Multiple Additive Neural Networks (MANN) methodology, an enhancement to the traditional Gradient Boosting framework,…
cs.LG
FaaSMoE: A Serverless Framework for Multi-Tenant Mixture-of-Experts Serving [17]
Minghe Wang, Trever Schirmer, Mohammadreza Malekabbasi, David Bermbach
Mixture-of-Experts (MoE) models offer high capacity with efficient inference cost by activating a small subset of expert models per input. However, deploying…
cs.DC
High Coupling Tunable Acoustic Resonators in Monolithic Barium Titanate [49]
Ian Anderson, Agham Posadas, Alexander A. Demkov, Ruochen Lu
The growing number of wireless communication bands has driven demand for compact, low-loss, and frequency adjustable RF filtering. Tunable acoustic resonators…
eess.SP
Rethinking Nonlocality: Locality, Counterfactuals, and the EPR-Bell Argument [50]
Partha Ghose
The widespread claim that violations of Bell inequalities establish the nonlocality of nature is critically reexamined. It is argued that this conclusion is…
quant-ph

🔐 Security & Crypto 12

Catching the Fly: Practical Challenges in Making Blockchain FlyClient Real [25]
Pericle Perazzo, Dario Capecchi
FlyClient is a lightweight blockchain verification protocol that enables proof-of-work validation using minimal data, making it ideal for resource-constrained…
cs.CR
Preventing Distinguishability between Multiplication and Squaring Operations [26]
Alkistis Aikaterini Sigourou, Zoya Dyka, Peter Langendoerfer, Ievgen Kabin
Scalar multiplication kP is a critical operation in Elliptic Curve Cryptosystems (ECC), often targeted by Side-Channel Analysis (SCA). Despite strategies based…
cs.CR
PRAG End-to-End Privacy-Preserving Retrieval-Augmented Generation [27]
Zhijun Li, Minghui Xu, Huayi Qi, Wenxuan Yu, Tingchuang Zhang, Qiao Zhang, GuangYong Shang, Zhen Ma, Xiuzhen Cheng
Retrieval-Augmented Generation (RAG) is essential for enhancing Large Language Models (LLMs) with external knowledge, but its reliance on cloud environments…
cs.CR
Tatemae: Detecting Alignment Faking via Tool Selection in LLMs [28]
Matteo Leonesi, Francesco Belardinelli, Flavio Corradini, Marco Piangerelli
Alignment faking (AF) occurs when an LLM strategically complies with training objectives to avoid value modification, reverting to prior preferences once…
cs.CR
SafeReview: Defending LLM-based Review Systems Against Adversarial Hidden Prompts [29]
Yuan Xin, Yixuan Weng, Minjun Zhu, Ying Ling, Chengwei Qin, Michael Hahn, Michael Backes, Yue Zhang, Linyi Yang
As Large Language Models (LLMs) are increasingly integrated into academic peer review, their vulnerability to adversarial prompts -- adversarial instructions…
cs.CL
Quantamination: Dynamic Quantization Leaks Your Data Across the Batch [30]
Hanna Foerster, Ilia Shumailov, Cheng Zhang, Yiren Zhao, Jamie Hayes, Robert Mullins
Dynamic quantization emerged as a practical approach to increase the utilization and efficiency of the machine learning serving flow. Unlike static…
cs.CR
Beyond Code Reasoning: A Specification-Anchored Audit Framework for Expert-Augmented Security Verification [31]
Masato Kamba, Hirotake Murakami, Akiyoshi Sannai
Security-critical software is routinely audited by tools that reason about vulnerabilities as repository-local code patterns. Yet specification-governed…
cs.CR
Differentially Private Contrastive Learning via Bounding Group-level Contribution [32]
Kecen Li, Chen Gong, Zinan Lin, Tianhao Wang, Xiaokui Xiao
Differentially private (DP) contrastive learning aims to learn general-purpose representations from sensitive data, alleviating the privacy leakage concerns of…
cs.CR
Random Number Generators in Advanced Optical Experiments: A Comparative Analysis of Semiclassical, Quantum, and Hybrid Architectures [33]
Daniil D. Reshetnikov, Anna A. Kretova, Anastasia A. Fominova, Evgenii A. Vashukevich, Tatiana Y. Golubeva, Kirill S. Tikhonov
Random numbers sequences (RNSs) play a vital role in various scientific and engineering applications. They are critical to the integrity of classical and…
quant-ph
Quantum Gatekeeper: Multi-Factor Context-Bound Image Steganography with VQC Based Key Derivation on Quantum Hardware [34]
Sahil Tomar, Sandeep Kumar
This paper presents Quantum Gatekeeper, a context-bound image steganography framework where successful payload recovery depends on both cryptographic…
quant-ph
Can Cross-Layer Design Bridge Security and Efficiency? A Robust Authentication Framework for Healthcare Information Exchange Systems [35]
Khalid M. Ezzat, Muhammad El-Saba, Mahmoud A. Shawky
As healthcare systems become increasingly interconnected, ensuring secure and continuous device authentication in health information exchange (HIE) networks is…
cs.CR
Privacy-Preserving Clothing Classification using Vision Transformer for Thermal Comfort Estimation [36]
Tatsuya Chuman, Yousuke Udagawa, Hitoshi Kiya
A privacy-preserving clothing classification scheme is presented to enable secure occupant-centric control (OCC) systems. Although the utilization of camera…
cs.CV

🔒 Zero Knowledge 3

Weighted Linearization of Vector Fields via a Formal Moser Trick [37]
Arthur Lei Qiu
Many well-known theorems establish sufficient criteria for linearizability of a vector field in terms of the eigenvalues of its linear approximation. By…
math.DG
Meta-learning-enhanced implicit full waveform inversion [38]
Huan Song, Shijun Cheng, Huanhuan Tang, Wei Ouyang, Weijian Mao
Implicit full waveform inversion (IFWI) introduces implicit neural representations to parameterize the subsurface velocity model as a continuous function of…
physics.geo-ph
Thermodynamics formalism for singular flows [39]
Ming Li, Xingzhong Liu
We establish that $C^\infty$ three-dimensional flows with positive topological entropy admit only finitely many ergodic measures of maximal entropy, even when…
math.DS

⚛️ Quantum 7

Simulating dynamics of RLC circuits with a quantum differential-algebraic equations solver [40]
Arkopal Dutt, Anirban Chowdhury, Kristan Temme, Hari Krovi
We introduce a quantum algorithm for simulating the dynamics of electrical circuits consisting of resistors, inductors and capacitors (aka RLC circuits) along…
quant-ph
Fractions of Recurrence Operators for Generalized Fourier Series in Classical Orthogonal Polynomials [41]
Alexandre Benoit, Nicolas Brisebarre, Bruno Salvy
We consider series expansions in bases of classical orthogonal polynomials. When such a series solves a linear differential equation with polynomial…
math.CA
Schwinger-Keldysh Path Integral for Gauge theories [42]
Greg Kaplanek, Maria Mylova, Andrew J. Tolley
We develop the Schwinger-Keldysh path-integral formalism for open non-Abelian gauge theories that are gauge-fixed via the BRST method in covariant gauges. We…
hep-th
Artistic Practice Opportunities in CST Evaluations: A Longitudinal Group Deployment of ArtKrit [43]
Catherine Liu, Tao Long, Asya Vaisberg, Chau Vu, Jiaju Ma, Jingyi Li
Creativity support tools (CSTs) aim to elevate the quality of artists' creative processes and artifacts. Yet most current CST evaluations overlook temporal and…
cs.HC
Digital Simulation of Non-Hermitian Knotted Bands on Quantum Hardware [44]
Truman Yu Ng, Yuzhu Wang, Wei Jie Chan, Ruizhe Shen, Tianqi Chen, Ching Hua Lee
Knots and links represent a fundamental motif of non-local connectivity that permeates the physical sciences from string theory to protein folds. While…
quant-ph
Many-to-many stable matching in large economies [45]
Michael Greinecke, Karolina Vocke
We study stability notions for networked many-to-many matching markets with individually insignificant agents in distributional form. Outcomes are formulated…
econ.TH
Protein folding on a 64 qubit trapped-ion hardware via counterdiabatic quantum optimization [46]
Alejandro Gomez Cadavid, Pavle Nikačević, Pranav Chandarana, Sebastián V. Romero, Enrique Solano, Narendra N. Hegade, Miguel Angel Lopez-Ruiz, Claudio Girotto, Hanna Linn, Hakan Doga, Evgeny Epifanovsky, Panagiotis Kl. Barkoutsos, Ananth Kaushik, Martin Roetteler
We report the largest trapped-ion hardware demonstration of lattice protein-folding optimization to date, using bias-field digitized counterdiabatic quantum…
quant-ph

🤖 AI Agents & Reasoning 3

ClawGym: A Scalable Framework for Building Effective Claw Agents [3]
Fei Bai, Huatong Song, Shuang Sun, Daixuan Cheng, Yike Yang, Chuan Hao, Renyuan Li, Feng Chang, Yuan Wei, Ran Tao, Bryan Dai, Jian Yang, Wayne Xin Zhao
Claw-style environments support multi-step workflows over local files, tools, and persistent workspace states. However, scalable development around these…
cs.CL
Degree-dependent and distance-dependent contact rates interpolate between explosive, exponential and polynomial epidemic growth [47]
Zylan Benjert, Júlia Komjáthy, Johannes Lengler, John Lapinskas, Ulysse Schaller
It is a fundamental question in epidemiology to estimate, model and predict the growth rate of a pandemic. Analogously, analysing the diffusion of innovation,…
math.PR
World2VLM: Distilling World Model Imagination into VLMs for Dynamic Spatial Reasoning [48]
Wanyue Zhang, Wenxiang Wu, Wang Xu, Jiaxin Luo, Helu Zhi, Yibin Huang, Shuo Ren, Zitao Liu, Jiajun Zhang
Vision-language models (VLMs) have shown strong performance on static visual understanding, yet they still struggle with dynamic spatial reasoning that…
cs.CV

🌐 Web Findings

🍞 Lobste.rs 5

Where the goblins came from [51]
How goblin outputs spread in AI models: timeline, root cause, and fixes behind personality-driven quirks in GPT-5 behavior.
Lobste.rs
Scaling Pain of Coding Agent Serving: Lessons from Debugging GLM-5 at Scale [52]
Tags: ai, debugging | Score: 2
Lobste.rs
AI Terminology is Poorly Defined and Oft Misused [53]
Words and terms used when describing artificial intelligence are often misused, inaccurate, or generalised to the point of losing all meaning. How terms like
Lobste.rs
ECH Is Done, But Can We Make It Work? [54]
This web site will not operate correctly without JavaScript. Apologies for the inconvenience.
Lobste.rs
ChatGPT Won't Let You Type Until Cloudflare Reads Your React State. I Decrypted the Program That Does It [55]
Edit April 2, 2026: I've been getting inbound interest from researchers wanting to run their own queries. The MCP integration I use for my own research lets…
Lobste.rs

🤗 HuggingFace Papers 10

RADIO-ViPE: Online Tightly Coupled Multi-Modal Fusion for Open-Vocabulary Semantic SLAM in Dynamic Environments [56]
We present RADIO-ViPE (Reduce All Domains Into One -- Video Pose Engine), an online semantic SLAM system that enables geometry-aware open-vocabulary grounding,…
HuggingFace
Probing Visual Planning in Image Editing Models [57]
Visual planning represents a crucial facet of human intelligence, especially in tasks that require complex spatial reasoning and navigation. Yet, in machine…
HuggingFace
Large Language Models Explore by Latent Distilling [58]
Generating diverse responses is crucial for test-time scaling of large language models (LLMs), yet standard stochastic sampling mostly yields surface-level…
HuggingFace
A Survey on LLM-based Conversational User Simulation [59]
User simulation has long played a vital role in computer science due to its potential to support a wide range of applications. Language, as the primary medium…
HuggingFace
FASH-iCNN: Making Editorial Fashion Identity Inspectable Through Multimodal CNN Probing [60]
Fashion AI systems routinely encode the aesthetic logic of specific houses, editors, and historical moments without disclosing it. We present FASH-iCNN, a…
HuggingFace
GLM-5V-Turbo: Toward a Native Foundation Model for Multimodal Agents [61]
We present GLM-5V-Turbo, a step toward native foundation models for multimodal agents. As foundation models are increasingly deployed in real environments,…
HuggingFace
Diffusion Templates: A Unified Plugin Framework for Controllable Diffusion [62]
Controllable diffusion methods have substantially expanded the practical utility of diffusion models, but they are typically developed as isolated,…
HuggingFace
Accelerating RL Post-Training Rollouts via System-Integrated Speculative Decoding [63]
RL post-training of frontier language models is increasingly bottlenecked by autoregressive rollout generation, making rollout acceleration a central systems…
HuggingFace
Unified 4D World Action Modeling from Video Priors with Asynchronous Denoising [64]
We propose X-WAM, a Unified 4D World Model that unifies real-time robotic action execution and high-fidelity 4D world synthesis (video + 3D reconstruction) in…
HuggingFace
V-GRPO: Online Reinforcement Learning for Denoising Generative Models Is Easier than You Think [65]
Aligning denoising generative models with human preferences or verifiable rewards remains a key challenge. While policy-gradient online reinforcement learning…
HuggingFace

🔬 Google Scholar 6

Catalyst breakthroughs in methane dry reforming: Employing machine learning for future advancements [66]
Rising levels of atmospheric carbon dioxide (CO 2 ) and methane (CH 4 ) have sparked the interest of researchers in resolving this issue. Various technologies…
Google Scholar
Advancements in Artificial Intelligence: Breakthroughs, Challenges and the Road Ahead [67]
This paper conducts systematic analysis of advancements in the field of artificial intelligence (AI) from the year 2010 onwards, by performing original…
Google Scholar
Large language models (LLM) in computational social science: prospects, current state, and challenges [68]
… The advent of large language models (LLMs) has marked a new … LLM usage. We further present the challenges associated with data bias, privacy, and the…
Google Scholar
Artificial intelligence and machine learning in cybersecurity: a deep dive into state-of-the-art techniques and future paradigms [69]
… in adversarial AI, automated threat intelligence, and AI-driven security orchestration, this … AI’s role in cybersecurity. Figure 1 shows the key areas where…
Google Scholar
Securing the future: exploring post-quantum cryptography for authentication and user privacy in IoT devices [70]
Cluster Computing - With the emergence of quantum computers, traditional cryptographic methods are vulnerable to attacks, emphasizing the need for post-quantum…
Google Scholar
Quantum machine learning: A comprehensive review of integrating AI with quantum computing for computational advancements [71]
… in quantum-enhanced classical ML to native quantum algorithms and hybrid quantum-… It varies from applications in optimization, drug discovery, and…
Google Scholar

🔗 All Sources

  1. Turning the TIDE: Cross-Architecture Distillation for Diffusion Large Language Models
  2. Causal Learning with Neural Assemblies
  3. ClawGym: A Scalable Framework for Building Effective Claw Agents
  4. Recent Advances in mm-Wave and Sub-THz/THz Oscillators for FutureG Technologies
  5. Resume-ing Control: (Mis)Perceptions of Agency Around GenAI Use in Recruiting Workflows
  6. Language Diffusion Models are Associative Memories Capable of Retrieving Unseen Data
  7. HalluCiteChecker: A Lightweight Toolkit for Hallucinated Citation Detection and Verification in the Era of AI Scientists
  8. Rule-based High-Level Coaching for Goal-Conditioned Reinforcement Learning in Search-and-Rescue UAV Missions Under Limited-Simulation Training
  9. Random Cloud: Finding Minimal Neural Architectures Without Training
  10. ViCrop-Det: Spatial Attention Entropy Guided Cropping for Training-Free Small-Object Detection
  11. Hyper Input Convex Neural Networks for Shape Constrained Learning and Optimal Transport
  12. Learning Over-Relaxation Policies for ADMM with Convergence Guarantees
  13. A Note on How to Remove the $\ln\ln T$ Term from the Squint Bound
  14. On the Learning Curves of Revenue Maximization
  15. Stochastic Scaling Limits and Synchronization by Noise in Deep Transformer Models
  16. Multiple Additive Neural Networks for Structured and Unstructured Data
  17. FaaSMoE: A Serverless Framework for Multi-Tenant Mixture-of-Experts Serving
  18. Outer-Crust Equations of State for Neutron Stars
  19. Anomalous Transport and Explicit Symmetry Breaking in Holography
  20. Optimizing Dynamic Metasurface Antenna Configurations for Direction-of-Arrival and Polarization Estimation Using an Experimentally Calibrated Multiport-Network Model
  21. Large quantum dot energy level shifts in anomalous photon-assisted tunneling
  22. Three-Step Nav: A Hierarchical Global-Local Planner for Zero-Shot Vision-and-Language Navigation
  23. ProcFunc: Function-Oriented Abstractions for Procedural 3D Generation in Python
  24. Select to Think: Unlocking SLM Potential with Local Sufficiency
  25. Catching the Fly: Practical Challenges in Making Blockchain FlyClient Real
  26. Preventing Distinguishability between Multiplication and Squaring Operations
  27. PRAG End-to-End Privacy-Preserving Retrieval-Augmented Generation
  28. Tatemae: Detecting Alignment Faking via Tool Selection in LLMs
  29. SafeReview: Defending LLM-based Review Systems Against Adversarial Hidden Prompts
  30. Quantamination: Dynamic Quantization Leaks Your Data Across the Batch
  31. Beyond Code Reasoning: A Specification-Anchored Audit Framework for Expert-Augmented Security Verification
  32. Differentially Private Contrastive Learning via Bounding Group-level Contribution
  33. Random Number Generators in Advanced Optical Experiments: A Comparative Analysis of Semiclassical, Quantum, and Hybrid Architectures
  34. Quantum Gatekeeper: Multi-Factor Context-Bound Image Steganography with VQC Based Key Derivation on Quantum Hardware
  35. Can Cross-Layer Design Bridge Security and Efficiency? A Robust Authentication Framework for Healthcare Information Exchange Systems
  36. Privacy-Preserving Clothing Classification using Vision Transformer for Thermal Comfort Estimation
  1. Weighted Linearization of Vector Fields via a Formal Moser Trick
  2. Meta-learning-enhanced implicit full waveform inversion
  3. Thermodynamics formalism for singular flows
  4. Simulating dynamics of RLC circuits with a quantum differential-algebraic equations solver
  5. Fractions of Recurrence Operators for Generalized Fourier Series in Classical Orthogonal Polynomials
  6. Schwinger-Keldysh Path Integral for Gauge theories
  7. Artistic Practice Opportunities in CST Evaluations: A Longitudinal Group Deployment of ArtKrit
  8. Digital Simulation of Non-Hermitian Knotted Bands on Quantum Hardware
  9. Many-to-many stable matching in large economies
  10. Protein folding on a 64 qubit trapped-ion hardware via counterdiabatic quantum optimization
  11. Degree-dependent and distance-dependent contact rates interpolate between explosive, exponential and polynomial epidemic growth
  12. World2VLM: Distilling World Model Imagination into VLMs for Dynamic Spatial Reasoning
  13. High Coupling Tunable Acoustic Resonators in Monolithic Barium Titanate
  14. Rethinking Nonlocality: Locality, Counterfactuals, and the EPR-Bell Argument
  15. Where the goblins came from
  16. Scaling Pain of Coding Agent Serving: Lessons from Debugging GLM-5 at Scale
  17. AI Terminology is Poorly Defined and Oft Misused
  18. ECH Is Done, But Can We Make It Work?
  19. ChatGPT Won't Let You Type Until Cloudflare Reads Your React State. I Decrypted the Program That Does It
  20. RADIO-ViPE: Online Tightly Coupled Multi-Modal Fusion for Open-Vocabulary Semantic SLAM in Dynamic Environments
  21. Probing Visual Planning in Image Editing Models
  22. Large Language Models Explore by Latent Distilling
  23. A Survey on LLM-based Conversational User Simulation
  24. FASH-iCNN: Making Editorial Fashion Identity Inspectable Through Multimodal CNN Probing
  25. GLM-5V-Turbo: Toward a Native Foundation Model for Multimodal Agents
  26. Diffusion Templates: A Unified Plugin Framework for Controllable Diffusion
  27. Accelerating RL Post-Training Rollouts via System-Integrated Speculative Decoding
  28. Unified 4D World Action Modeling from Video Priors with Asynchronous Denoising
  29. V-GRPO: Online Reinforcement Learning for Denoising Generative Models Is Easier than You Think
  30. Catalyst breakthroughs in methane dry reforming: Employing machine learning for future advancements
  31. Advancements in Artificial Intelligence: Breakthroughs, Challenges and the Road Ahead
  32. Large language models (LLM) in computational social science: prospects, current state, and challenges
  33. Artificial intelligence and machine learning in cybersecurity: a deep dive into state-of-the-art techniques and future paradigms
  34. Securing the future: exploring post-quantum cryptography for authentication and user privacy in IoT devices
  35. Quantum machine learning: A comprehensive review of integrating AI with quantum computing for computational advancements
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