Carlos's Debrief

April 22, 2026 09:00
45ArXiv Papers
41Web Findings
86Total 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 22, 2026 09:00 — Curated by Hermes Research Scout

⚡ Quick Summary

📰 News Headlines

📄 ArXiv Papers

🧠 LLMs 10

Chat2Workflow: A Benchmark for Generating Executable Visual Workflows with Natural Language [1]
Yi Zhong, Buqiang Xu, Yijun Wang, Zifei Shan, Shuofei Qiao, Guozhou Zheng, Ningyu Zhang
At present, executable visual workflows have emerged as a mainstream paradigm in real-world industrial deployments, offering strong reliability and controllability. However, in cur…
cs.CLcs.AIcs.CV
Tstars-Tryon 1.0: Robust and Realistic Virtual Try-On for Diverse Fashion Items [2]
Mengting Chen, Zhengrui Chen, Yongchao Du, Zuan Gao, Taihang Hu, Jinsong Lan, Chao Lin, Yefeng Shen, Xingjian Wang, Zhao Wang, Zhengtao Wu, Xiaoli Xu, Zhengze Xu, Hao Yan, Mingzhou Zhang, Jun Zheng, Qinye Zhou, Xiaoyong Zhu, Bo Zheng
Recent advances in image generation and editing have opened new opportunities for virtual try-on. However, existing methods still struggle to meet complex real-world demands. We pr…
cs.CV
AnyRecon: Arbitrary-View 3D Reconstruction with Video Diffusion Model [3]
Yutian Chen, Shi Guo, Renbiao Jin, Tianshuo Yang, Xin Cai, Yawen Luo, Mingxin Yang, Mulin Yu, Linning Xu, Tianfan Xue
Sparse-view 3D reconstruction is essential for modeling scenes from casual captures, but remain challenging for non-generative reconstruction. Existing diffusion-based approaches m…
cs.CV
PlayCoder: Making LLM-Generated GUI Code Playable [4]
Zhiyuan Peng, Wei Tao, Xin Yin, Chenhao Ying, Yuan Luo, Yiwen Guo
Large language models (LLMs) have achieved strong results in code generation, but their ability to generate GUI applications, especially games, remains insufficiently studied. Exis…
cs.SE
CityRAG: Stepping Into a City via Spatially-Grounded Video Generation [5]
Gene Chou, Charles Herrmann, Kyle Genova, Boyang Deng, Songyou Peng, Bharath Hariharan, Jason Y. Zhang, Noah Snavely, Philipp Henzler
We address the problem of generating a 3D-consistent, navigable environment that is spatially grounded: a simulation of a real location. Existing video generative models can produc…
cs.CV
Generative Drifting for Conditional Medical Image Generation [6]
Zirong Li, Siyuan Mei, Weiwen Wu, Andreas Maier, Lina Gölz, Yan Xia
Conditional medical image generation plays an important role in many clinically relevant imaging tasks. However, existing methods still face a fundamental challenge in balancing in…
cs.CV
Micro Language Models Enable Instant Responses [7]
Wen Cheng, Tuochao Chen, Karim Helwani, Sriram Srinivasan, Luke Zettlemoyer, Shyamnath Gollakota
Edge devices such as smartwatches and smart glasses cannot continuously run even the smallest 100M-1B parameter language models due to power and compute constraints, yet cloud infe…
cs.CL
CreatiParser: Generative Image Parsing of Raster Graphic Designs into Editable Layers [8]
Weidong Chen, Dexiang Hong, Zhendong Mao, Yutao Cheng, Xinyan Liu, Lei Zhang, Yongdong Zhang
Graphic design images consist of multiple editable layers, such as text, background, and decorative elements, while most generative models produce rasterized outputs without explic…
cs.CV
Discovering a Shared Logical Subspace: Steering LLM Logical Reasoning via Alignment of Natural-Language and Symbolic Views [9]
Feihao Fang, My T. Thai, Yuanyuan Lei
Large Language Models (LLMs) still struggle with multi-step logical reasoning. Existing approaches either purely refine the reasoning chain in natural language form or attach a sym…
cs.CL
Epistemic orientation in parliamentary discourse is associated with deliberative democracy [10]
Segun Aroyehun, Stephan Lewandowsky, David Garcia
The pursuit of truth is central to democratic deliberation and governance, yet political discourse reflects varying epistemic orientations, ranging from evidence-based reasoning gr…
cs.CLcs.CY

📄 ArXiv Papers

⚙️ Machine Learning 16

Generalization at the Edge of Stability [11]
Mario Tuci, Caner Korkmaz, Umut Şimşekli, Tolga Birdal
Training modern neural networks often relies on large learning rates, operating at the edge of stability, where the optimization dynamics exhibit oscillatory and chaotic behavior. …
cs.LGcs.AIcs.CV
FASTER: Value-Guided Sampling for Fast RL [12]
Perry Dong, Alexander Swerdlow, Dorsa Sadigh, Chelsea Finn
Some of the most performant reinforcement learning algorithms today can be prohibitively expensive as they use test-time scaling methods such as sampling multiple action candidates…
cs.LGcs.AI
Benign Overfitting in Adversarial Training for Vision Transformers [13]
Jiaming Zhang, Meng Ding, Shaopeng Fu, Jingfeng Zhang, Di Wang
Despite the remarkable success of Vision Transformers (ViTs) across a wide range of vision tasks, recent studies have revealed that they remain vulnerable to adversarial examples, …
cs.LGcs.AI
Adaptive MSD-Splitting: Enhancing C4.5 and Random Forests for Skewed Continuous Attributes [14]
Jake Lee
The discretization of continuous numerical attributes remains a persistent computational bottleneck in the induction of decision trees, particularly as dataset dimensions scale. Bu…
cs.LGcs.AI
Phase Transitions in the Fluctuations of Functionals of Random Neural Networks [15]
Simmaco Di Lillo, Leonardo Maini, Domenico Marinucci
We establish central and non-central limit theorems for sequences of functionals of the Gaussian output of an infinitely-wide random neural network on the d-dimensional sphere . We…
math.PRcs.LGstat.ML
Safe Continual Reinforcement Learning in Non-stationary Environments [16]
Austin Coursey, Abel Diaz-Gonzalez, Marcos Quinones-Grueiro, Gautam Biswas
Reinforcement learning (RL) offers a compelling data-driven paradigm for synthesizing controllers for complex systems when accurate physical models are unavailable; however, most e…
cs.LG
FB-NLL: A Feature-Based Approach to Tackle Noisy Labels in Personalized Federated Learning [17]
Abdulmoneam Ali, Ahmed Arafa
Personalized Federated Learning (PFL) aims to learn multiple task-specific models rather than a single global model across heterogeneous data distributions. Existing PFL approaches…
cs.LGcs.ITeess.SP
Ultrametric OGP - parametric RDT \emph{symmetric} binary perceptron connection [18]
Mihailo Stojnic
In [97,99,100], an fl-RDT framework is introduced to characterize \emph{statistical computational gaps} (SCGs). Studying \emph{symmetric binary perceptrons} (SBPs), [100] obtained …
cs.LGcond-mat.dis-nncs.IT
On two ways to use determinantal point processes for Monte Carlo integration [19]
Guillaume Gautier, Rémi Bardenet, Michal Valko
The standard Monte Carlo estimator $\widehat{I}_N^{\mathrm{MC}}$ of $\int fdω$ relies on independent samples from $ω$ and has variance of order $1/N$. Replacing the samples with a …
cs.LGmath.ST
Calibration-Induced Systematics in SALT3 Training and Their Impact on Dark Energy Constraints from Stage IV Supernova Surveys [20]
Kene Anumba, David 0. Jones, Richard Kessler, Daniel Scolnic, W. D'Arcy Kenworthy, Rebecca C. Chen, Bastien Carreres, Maria Vincenzi, Erik R. Peterson, Maria Acevedo, Ben Rose, Dillon Brout, Jillian Paulin, Rujuta A. Purohit, Rebekah Hounsell, The Roman Supernova Cosmology Project Infrastructure Team
In the coming years, the Vera Rubin Observatory's Legacy Survey of Space and Time (Rubin-LSST) and the Nancy Grace Roman Space Telescope's (Roman) High Latitude Time Domain Survey …
astro-ph.CO
Precision Kinematic Sunyaev--Zel'dovich Measurements Across Halo Mass and Redshift with DESI DR2 and ACT DR6: Part II. Bright Galaxy Survey and Emission-Line Galaxies [21]
B. Hadzhiyska, S. Ferraro, F. J. Qu, B. Ried Guachalla, E. Schaan, J. Aguilar, S. Ahlen, D. Bianchi, D. Brooks, F. J. Castander, E. Chaussidon, T. Claybaugh, A. de la Macorra, Arjun Dey, Biprateep Dey, P. Doel, J. E. Forero-Romero, E. Gaztañaga, S. Gontcho A Gontcho, G. Gutierrez, J. Guy, K. Honscheid, C. Howlett, D. Huterer, M. Ishak, R. Joyce, R. Kehoe, T. Kisner, A. Kremin, O. Lahav, M. Landriau, L. Le Guillou, A. Leauthaud, M. Manera, P. Martini, A. Meisner, R. Miquel, S. Nadathur, N. Palanque-Delabrouille, W. J. Percival, F. Prada, I. Pérez-Ràfols, G. Rossi, L. Samushia, E. Sanchez, E. F. Schlafly, D. Schlegel, J. Silber, D. Sprayberry, G. Tarlé, B. A. Weaver, R. Zhou, H. Zou
We present the first high-significance spectroscopic stacked kinetic Sunyaev-Zel'dovich (kSZ) measurements of circumgalactic gas profiles for both Bright Galaxy Survey (BGS) and Em…
astro-ph.COastro-ph.GA
Viscously Stirring Particle Disks into Lorentzians and Gaussians to Infer Dynamical and Collisional Masses (ARKS XIII) [22]
Eugene Chiang, Tim D. Pearce, Marija R. Jankovic, Alexander Jeffrey Backues, Yinuo Han, Alexander V. Krivov, Margaret Pan, Brianna Zawadzki, A. Meredith Hughes, Krish Prakash Jhurani, Joshua B. Lovell, Sebastian Marino, Antranik A. Sefilian, David J. Wilner, Mark C. Wyatt, Sebastian Perez, Peter Abraham, Agnes Kospal, Patricia Luppe
Disks (Keplerian or otherwise, particulate or fluid) are often assumed to have densities that drop off vertically as Gaussians. Recent mm-wave imaging of circumstellar debris disks…
astro-ph.EPastro-ph.GA
Fast computation and theoretical guarantees for the NPMLE in exponential family mixtures [23]
Yan Zhang
This work makes two advances in the study of the (approximate) nonparametric maximum likelihood estimator (NPMLE) for exponential family mixture models. First, we develop a data-co…
math.STstat.CO
Diagnostic Modelling: a framework of principles for responsible energy systems modelling [24]
I. David Elder, Juan Moreno-Cruz, Cameron Wade, Sylvia Sleep, Sara Hastings-Simon, Sean McCoy, Heather L. MacLean, I. Daniel Posen
Energy systems optimisation models are a leading tool for informing decisions in the energy transition. However, these models often remain opaque, and results are frequently presen…
physics.soc-ph
From Top-1 to Top-K: A Reproducibility Study and Benchmarking of Counterfactual Explanations for Recommender Systems [25]
Quang-Huy Nguyen, Thanh-Hai Nguyen, Khac-Manh Thai, Duc-Hoang Pham, Huy-Son Nguyen, Cam-Van Thi Nguyen, Masoud Mansoury, Duc-Trong Le, Hoang-Quynh Le
Counterfactual explanations (CEs) provide an intuitive way to understand recommender systems by identifying minimal modifications to user-item interactions that alter recommendatio…
cs.IRcs.LG
Pilot-Free Predictive Multi-User Beamforming via Sensing Management in Cell-Free Networks [26]
Eren Berk Kama, Murat Babek Salman, Isaac Skog, Emil Björnson
This paper presents a sensing management frame- work for integrated sensing and communications (ISAC) within cell-free massive multiple-input multiple-output (MIMO) systems to redu…
eess.SP

📄 ArXiv Papers

🔒 Security & Cybersecurity 7

"We are currently clean on OPSEC": Why JD Can't Encrypt [27]
Maurice Chiodo, Toni Erskine, Dennis Müller, James G. Wright
We analyse the 2025 Signalgate leak of sensitive US military information by the Trump administration, addressing why confidentiality was violated (messages leaked to the press) in …
cs.CRcs.CYcs.HC
An AI Agent Execution Environment to Safeguard User Data [28]
Robert Stanley, Avi Verma, Lillian Tsai, Konstantinos Kallas, Sam Kumar
AI agents promise to serve as general-purpose personal assistants for their users, which requires them to have access to private user data (e.g., personal and financial information…
cs.CRcs.AIcs.OS
Adding Compilation Metadata To Binaries To Make Disassembly Decidable [29]
Daniel Engel, Freek Verbeek, Pranav Kumar, Binoy Ravindran
The binary executable format is the standard method for distributing and executing software. Yet, it is also as opaque a representation of software as can be. If the binary format …
cs.CRcs.PL
Cyber Defense Benchmark: Agentic Threat Hunting Evaluation for LLMs in SecOps [30]
Alankrit Chona, Igor Kozlov, Ambuj Kumar
We introduce the Cyber Defense Benchmark, a benchmark for measuring how well large language model (LLM) agents perform the core SOC analyst task of threat hunting: given a database…
cs.CRcs.AI
Evaluating LLM-Generated Obfuscated XSS Payloads for Machine Learning-Based Detection [31]
Divyesh Gabbireddy, Suman Saha
Cross-site scripting (XSS) remains a persistent web security vulnerability, especially because obfuscation can change the surface form of a malicious payload while preserving its b…
cs.CRcs.LGcs.SE
When Graph Structure Becomes a Liability: A Critical Re-Evaluation of Graph Neural Networks for Bitcoin Fraud Detection under Temporal Distribution Shift [32]
Saket Maganti
The consensus that GCN, GraphSAGE, GAT, and EvolveGCN outperform feature-only baselines on the Elliptic Bitcoin Dataset is widely cited but has not been rigorously stress-tested un…
cs.LGcs.AIcs.CR
EvoPatch-IoT: Evolution-Aware Cross-Architecture Vulnerability Retrieval and Patch-State Profiling for BusyBox-Based IoT Firmware [33]
Yinhao Xiao, Huixi Li, Yongluo Shen
BusyBox is one of the most widely reused userland components in Linux-based Internet-of-Things (IoT) firmware, yet its security assessment remains difficult because firmware images…
cs.CR

📄 ArXiv Papers

🔐 Zero Knowledge 1

SpanVLA: Efficient Action Bridging and Learning from Negative-Recovery Samples for Vision-Language-Action Model [34]
Zewei Zhou, Ruining Yang, Xuewei, Qi, Yiluan Guo, Sherry X. Chen, Tao Feng, Kateryna Pistunova, Yishan Shen, Lili Su, Jiaqi Ma
Vision-Language-Action (VLA) models offer a promising autonomous driving paradigm for leveraging world knowledge and reasoning capabilities, especially in long-tail scenarios. Howe…
cs.CV

📄 ArXiv Papers

⚛️ Quantum 2

Architecting Early Fault Tolerant Neutral Atoms Systems with Quantum Advantage [35]
Sahil Khan, Sayam Sethi, Kaavya Sahay, Yingjia Lin, Jude Alnas, Suhas Kurapati, Abhinav Anand, Jonathan M. Baker, Kenneth R. Brown
Recent advancements in neutral atom platforms have enabled exploration of early fault-tolerant (FT) architectures for applications with quantum advantage, such as quantum dynamics …
quant-ph
Direct RNA sequence design under codon constraints using expressive tensor-based secondary structure models [36]
Mark Fornace, Christina Wuyan Wang, Michael Lindsey
Nucleic acid sequence design via codon optimization is a fundamental task with applications across synthetic biology, mRNA therapeutics, and vaccine design. Given a target protein,…
q-bio.QM

📄 ArXiv Papers

🤖 Agents 5

UniT: Toward a Unified Physical Language for Human-to-Humanoid Policy Learning and World Modeling [37]
Boyu Chen, Yi Chen, Lu Qiu, Jerry Bai, Yuying Ge, Yixiao Ge
Scaling humanoid foundation models is bottlenecked by the scarcity of robotic data. While massive egocentric human data offers a scalable alternative, bridging the cross-embodiment…
cs.ROcs.AI
VLA Foundry: A Unified Framework for Training Vision-Language-Action Models [38]
Jean Mercat, Sedrick Keh, Kushal Arora, Isabella Huang, Paarth Shah, Haruki Nishimura, Shun Iwase, Katherine Liu
We present VLA Foundry, an open-source framework that unifies LLM, VLM, and VLA training in a single codebase. Most open-source VLA efforts specialize on the action training stage,…
cs.ROcs.AIcs.CV
A-MAR: Agent-based Multimodal Art Retrieval for Fine-Grained Artwork Understanding [39]
Shuai Wang, Hongyi Zhu, Jia-Hong Huang, Yixian Shen, Chengxi Zeng, Stevan Rudinac, Monika Kackovic, Nachoem Wijnberg, Marcel Worring
Understanding artworks requires multi-step reasoning over visual content and cultural, historical, and stylistic context. While recent multimodal large language models show promise…
cs.AI
Learning Hybrid-Control Policies for High-Precision In-Contact Manipulation Under Uncertainty [40]
Hunter L. Brown, Geoffrey Hollinger, Stefan Lee
Reinforcement learning-based control policies have been frequently demonstrated to be more effective than analytical techniques for many manipulation tasks. Commonly, these methods…
cs.ROcs.AIcs.LG
Multi-Cycle Spatio-Temporal Adaptation in Human-Robot Teaming [41]
Alex Cuellar, Michael Hagenow, Julie Shah
Effective human-robot teaming is crucial for the practical deployment of robots in human workspaces. However, optimizing joint human-robot plans remains a challenge due to the diff…
cs.ROcs.AI

📄 ArXiv Papers

🔏 Crypto 4

Cyclic Equalizability Characterized by Parikh Vectors [42]
Sarunyu Thongjarast, Sarit Pasiphol, Suthee Ruangwises
Cyclic equalizability is a notion introduced by Shinagawa and Nuida in 2025, in the study of card-based cryptography. Informally, a collection of words is cyclically equalizable if…
math.COcs.CR
The Lefschetz type theorem for fundamental group schemes [43]
Lingguang Li, Niantao Tian
Let $k$ be a field, $X$ a connected scheme proper over $k$, $D\subsetneq X$ an ample effective connected divisor, $x\in D(k)$. For Tannakian categories $\mathcal{C}_X$ and $\mathca…
math.AG
Secure Storage and Privacy-Preserving Scanpath Comparison via Garbled Circuits in Eye Tracking [44]
Suleyman Ozdel, Amr Nader, Yasmeen Abdrabou, Enkelejda Kasneci
With the growing use of eye tracking on VR and mobile platforms, gaze data is increasing. While scanpath comparison is important to gaze behavior analysis, existing methods lack pr…
cs.CRcs.HC
Suffix Random Access via Function Inversion: A Key for Asymmetric Streaming String Algorithms [45]
Panagiotis Charalampopoulos, Taha El Ghazi, Jonas Ellert, Paweł Gawrychowski, Tatiana Starikovskaya
Many string processing problems can be phrased in the streaming setting, where the input arrives symbol by symbol and we have sublinear working space. The area of streaming algorit…
cs.DS

🌐 Web Findings

🤗 Huggingface Papers 28

Understanding and Enforcing Weight Disentanglement in Task Arithmetic [47]
Task arithmetic provides an efficient, training-free way to edit pre-trained models, yet lacks a fundamental theoretical explanation for its success. The existing concept of ``weig…
Huggingface Papers
ShadowPEFT: Shadow Network for Parameter-Efficient Fine-Tuning [48]
Parameter-efficient fine-tuning (PEFT) reduces the training cost of full-parameter fine-tuning for large language models (LLMs) by training only a small set of task-specific parame…
Huggingface Papers
HP-Edit: A Human-Preference Post-Training Framework for Image Editing [49]
Common image editing tasks typically adopt powerful generative diffusion models as the leading paradigm for real-world content editing. Meanwhile, although reinforcement learning (…
Huggingface Papers
Mitigating Multimodal Hallucination via Phase-wise Self-reward [50]
Large Vision-Language Models (LVLMs) still struggle with vision hallucination, where generated responses are inconsistent with the visual input. Existing methods either rely on lar…
Huggingface Papers
The Cognitive Penalty: Ablating System 1 and System 2 Reasoning in Edge-Native SLMs for Decentralized Consensus [51]
Decentralized Autonomous Organizations (DAOs) are inclined explore Small Language Models (SLMs) as edge-native constitutional firewalls to vet proposals and mitigate semantic socia…
Huggingface Papers
Chain-of-Thought Degrades Visual Spatial Reasoning Capabilities of Multimodal LLMs [52]
Multimodal Reasoning Models (MRMs) leveraging Chain-of-Thought (CoT) based thinking have revolutionized mathematical and logical problem-solving. However, we show that this paradig…
Huggingface Papers
UDM-GRPO: Stable and Efficient Group Relative Policy Optimization for Uniform Discrete Diffusion Models [53]
Uniform Discrete Diffusion Model (UDM) has recently emerged as a promising paradigm for discrete generative modeling; however, its integration with reinforcement learning remains l…
Huggingface Papers
Mind's Eye: A Benchmark of Visual Abstraction, Transformation and Composition for Multimodal LLMs [54]
Multimodal large language models (MLLMs) have achieved impressive progress on vision language benchmarks, yet their capacity for visual cognitive and visuospatial reasoning remains…
Huggingface Papers
Predicting integers from continuous parameters [55]
We study the problem of predicting numeric labels that are constrained to the integers or to a subrange of the integers. For example, the number of up-votes on social media posts, …
Huggingface Papers
AnyRecon: Arbitrary-View 3D Reconstruction with Video Diffusion Model [56]
Sparse-view 3D reconstruction is essential for modeling scenes from casual captures, but remain challenging for non-generative reconstruction. Existing diffusion-based approaches m…
Huggingface Papers
Contrastive Attribution in the Wild: An Interpretability Analysis of LLM Failures on Realistic Benchmarks [57]
Interpretability tools are increasingly used to analyze failures of Large Language Models (LLMs), yet prior work largely focuses on short prompts or toy settings, leaving their beh…
Huggingface Papers
SmartPhotoCrafter: Unified Reasoning, Generation and Optimization for Automatic Photographic Image Editing [58]
Traditional photographic image editing typically requires users to possess sufficient aesthetic understanding to provide appropriate instructions for adjusting image quality and ca…
Huggingface Papers
Speculative Decoding for Autoregressive Video Generation [59]
Autoregressive video diffusion is emerging as a promising paradigm for streaming video synthesis, with step distillation serving as the primary means of accelerating inference. Whe…
Huggingface Papers
TEMPO: Scaling Test-time Training for Large Reasoning Models [60]
Test-time training (TTT) adapts model parameters on unlabeled test instances during inference time, which continuously extends capabilities beyond the reach of offline training. De…
Huggingface Papers
Chat2Workflow: A Benchmark for Generating Executable Visual Workflows with Natural Language [61]
At present, executable visual workflows have emerged as a mainstream paradigm in real-world industrial deployments, offering strong reliability and controllability. However, in cur…
Huggingface Papers
Target-Oriented Pretraining Data Selection via Neuron-Activated Graph [62]
Everyday tasks come with a target, and pretraining models around this target is what turns them into experts. In this paper, we study target-oriented language model (LM) pretrainin…
Huggingface Papers
Code-Switching Information Retrieval: Benchmarks, Analysis, and the Limits of Current Retrievers [63]
Code-switching is a pervasive linguistic phenomenon in global communication, yet modern information retrieval systems remain predominantly designed for, and evaluated within, monol…
Huggingface Papers
Dual-View Training for Instruction-Following Information Retrieval [64]
Instruction-following information retrieval (IF-IR) studies retrieval systems that must not only find documents relevant to a query, but also obey explicit user constraints such as…
Huggingface Papers
MM-JudgeBias: A Benchmark for Evaluating Compositional Biases in MLLM-as-a-Judge [65]
Multimodal Large Language Models (MLLMs) have been increasingly used as automatic evaluators-a paradigm known as MLLM-as-a-Judge. However, their reliability and vulnerabilities to …
Huggingface Papers
CoInteract: Physically-Consistent Human-Object Interaction Video Synthesis via Spatially-Structured Co-Generation [66]
Synthesizing human--object interaction (HOI) videos has broad practical value in e-commerce, digital advertising, and virtual marketing. However, current diffusion models, despite …
Huggingface Papers
ClawNet: Human-Symbiotic Agent Network for Cross-User Autonomous Cooperation [67]
Current AI agent frameworks have made remarkable progress in automating individual tasks, yet all existing systems serve a single user. Human productivity rests on the social and o…
Huggingface Papers
UniMesh: Unifying 3D Mesh Understanding and Generation [68]
Recent advances in 3D vision have led to specialized models for either 3D understanding (e.g., shape classification, segmentation, reconstruction) or 3D generation (e.g., synthesis…
Huggingface Papers
SPRITE: From Static Mockups to Engine-Ready Game UI [69]
Game UI implementation requires translating stylized mockups into interactive engine entities. However, current "Screenshot-to-Code" tools often struggle with the irregular geometr…
Huggingface Papers
AgentSPEX: An Agent SPecification and EXecution Language [70]
Language-model agent systems commonly rely on reactive prompting, in which a single instruction guides the model through an open-ended sequence of reasoning and tool-use steps, lea…
Huggingface Papers
LoopCTR: Unlocking the Loop Scaling Power for Click-Through Rate Prediction [71]
Scaling Transformer-based click-through rate (CTR) models by stacking more parameters brings growing computational and storage overhead, creating a widening gap between scaling amb…
Huggingface Papers
PlayCoder: Making LLM-Generated GUI Code Playable [72]
Large language models (LLMs) have achieved strong results in code generation, but their ability to generate GUI applications, especially games, remains insufficiently studied. Exis…
Huggingface Papers
Tstars-Tryon 1.0: Robust and Realistic Virtual Try-On for Diverse Fashion Items [73]
Recent advances in image generation and editing have opened new opportunities for virtual try-on. However, existing methods still struggle to meet complex real-world demands. We pr…
Huggingface Papers
Evaluation-driven Scaling for Scientific Discovery [74]
Language models are increasingly used in scientific discovery to generate hypotheses, propose candidate solutions, implement systems, and iteratively refine them. At the core of th…
Huggingface Papers

🔍 Google Scholar 11

Early identification of breakthrough technologies: Insights from science-driven innovations [75]
… Building on this premise, this paper presents a framework for identifying breakthrough … potential to trigger technological breakthroughs. Next, a machine learning-based link pre…
Google Scholar
Large language models (LLM) in computational social science: prospects, current state, and challenges [76]
… 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 integration of these models…
Google Scholar
AI-driven cybersecurity framework for software development based on the ANN-ISM paradigm [77]
… is AI systems, which help us adapt a little better, as traditional measures in security have … This paper presents an innovative cybersecurity framework using AI, by the Artifici…
Google Scholar
Securing the future: exploring post-quantum cryptography for authentication and user privacy in IoT devices [78]
Cluster Computing - With the emergence of quantum computers, traditional cryptographic methods are vulnerable to attacks, emphasizing the need for post-quantum cryptography to secu…
Google Scholar
5g-aka-hpqc: Hybrid post-quantum cryptography protocol for quantum-resilient 5g primary authentication with forward secrecy [79]
5G serves as a catalyst for transformative digital innovation by enabling convergence with various services in our daily lives. The success of this paradigm shift undeniably hinges…
Google Scholar
Beyond Classical Limits: Exploring the Promise of Post‐Quantum Cryptography [80]
… Although post-quantum cryptography appears to offer a viable safeguard against … post-quantum cryptography methods. We also look at the real-world uses of post-quantum cryptograp…
Google Scholar
A Comparative Evaluation of Zero Knowledge Proof Techniques. [81]
… This study evaluated the performance of Bulletproof and zk-STARK zero-knowledge proof systems in distributed, decentralized, and resource-constrained environments, focusing on …
Google Scholar
Quantum algorithms for quantum molecular systems: a survey [82]
… challenges, leveraging advanced quantum algorithms with reduced hardware … in quantum computing algorithms for quantum molecular systems in the fault-tolerant quantum computing …
Google Scholar
Quantum computing and artificial intelligence: Toward a new computational paradigm [83]
This paper explores the convergence of quantum computing and artificial intelligence (AI), examining how their integration may redefine computational paradigms. Quantum computing, …
Google Scholar
Leveraging blockchain and smart contracts to combat greenwashing in sustainable development [84]
… to incorporating blockchain and smart contract technology is … Blockchain technology provides consumers with detailed … that this shift to blockchain smart contracts can reduce t…
Google Scholar
AI safety for everyone [85]
Recent discussions and research in artificial intelligence (AI) safety have increasingly emphasized the deep connection between AI safety and existential risk from advanced AI syst…
Google Scholar

💬 Hackernews 2

Show HN: We open-sourced a 6-library governance stack for AI agents (Python) [86]
Hackernews
(https://sam-jaques.appspot.com/quantum_landscape) [87]
Quantum computing promises a lot of applications, but when will we see them? When will our RSA keys break, and our cryptocurrency be stolen, and our private messages be made public…
Hackernews
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🔗 All Sources

  1. Generalization at the Edge of Stability
  2. UniT: Toward a Unified Physical Language for Human-to-Humanoid Policy Learning and World Modeling
  3. FASTER: Value-Guided Sampling for Fast RL
  4. VLA Foundry: A Unified Framework for Training Vision-Language-Action Models
  5. Benign Overfitting in Adversarial Training for Vision Transformers
  6. Adaptive MSD-Splitting: Enhancing C4.5 and Random Forests for Skewed Continuous Attributes
  7. A-MAR: Agent-based Multimodal Art Retrieval for Fine-Grained Artwork Understanding
  8. Learning Hybrid-Control Policies for High-Precision In-Contact Manipulation Under Uncertainty
  9. Multi-Cycle Spatio-Temporal Adaptation in Human-Robot Teaming
  10. Chat2Workflow: A Benchmark for Generating Executable Visual Workflows with Natural Language
  11. Phase Transitions in the Fluctuations of Functionals of Random Neural Networks
  12. Safe Continual Reinforcement Learning in Non-stationary Environments
  13. FB-NLL: A Feature-Based Approach to Tackle Noisy Labels in Personalized Federated Learning
  14. Ultrametric OGP - parametric RDT \emph{symmetric} binary perceptron connection
  15. On two ways to use determinantal point processes for Monte Carlo integration
  16. Tstars-Tryon 1.0: Robust and Realistic Virtual Try-On for Diverse Fashion Items
  17. AnyRecon: Arbitrary-View 3D Reconstruction with Video Diffusion Model
  18. Calibration-Induced Systematics in SALT3 Training and Their Impact on Dark Energy Constraints from Stage IV Supernova Surveys
  19. Precision Kinematic Sunyaev--Zel'dovich Measurements Across Halo Mass and Redshift with DESI DR2 and ACT DR6: Part II. Bright Galaxy Survey and Emission-Line Galaxies
  20. Viscously Stirring Particle Disks into Lorentzians and Gaussians to Infer Dynamical and Collisional Masses (ARKS XIII)
  21. PlayCoder: Making LLM-Generated GUI Code Playable
  22. CityRAG: Stepping Into a City via Spatially-Grounded Video Generation
  23. "We are currently clean on OPSEC": Why JD Can't Encrypt
  24. An AI Agent Execution Environment to Safeguard User Data
  25. Adding Compilation Metadata To Binaries To Make Disassembly Decidable
  26. Cyber Defense Benchmark: Agentic Threat Hunting Evaluation for LLMs in SecOps
  27. Evaluating LLM-Generated Obfuscated XSS Payloads for Machine Learning-Based Detection
  28. When Graph Structure Becomes a Liability: A Critical Re-Evaluation of Graph Neural Networks for Bitcoin Fraud Detection under Temporal Distribution Shift
  29. Cyclic Equalizability Characterized by Parikh Vectors
  30. EvoPatch-IoT: Evolution-Aware Cross-Architecture Vulnerability Retrieval and Patch-State Profiling for BusyBox-Based IoT Firmware
  31. The Lefschetz type theorem for fundamental group schemes
  32. Secure Storage and Privacy-Preserving Scanpath Comparison via Garbled Circuits in Eye Tracking
  33. Suffix Random Access via Function Inversion: A Key for Asymmetric Streaming String Algorithms
  34. SpanVLA: Efficient Action Bridging and Learning from Negative-Recovery Samples for Vision-Language-Action Model
  35. Generative Drifting for Conditional Medical Image Generation
  36. Architecting Early Fault Tolerant Neutral Atoms Systems with Quantum Advantage
  37. Fast computation and theoretical guarantees for the NPMLE in exponential family mixtures
  38. Direct RNA sequence design under codon constraints using expressive tensor-based secondary structure models
  39. Diagnostic Modelling: a framework of principles for responsible energy systems modelling
  40. From Top-1 to Top-K: A Reproducibility Study and Benchmarking of Counterfactual Explanations for Recommender Systems
  41. Pilot-Free Predictive Multi-User Beamforming via Sensing Management in Cell-Free Networks
  42. Micro Language Models Enable Instant Responses
  43. CreatiParser: Generative Image Parsing of Raster Graphic Designs into Editable Layers
  1. Discovering a Shared Logical Subspace: Steering LLM Logical Reasoning via Alignment of Natural-Language and Symbolic Views
  2. Epistemic orientation in parliamentary discourse is associated with deliberative democracy
  3. Understanding and Enforcing Weight Disentanglement in Task Arithmetic
  4. ShadowPEFT: Shadow Network for Parameter-Efficient Fine-Tuning
  5. HP-Edit: A Human-Preference Post-Training Framework for Image Editing
  6. Mitigating Multimodal Hallucination via Phase-wise Self-reward
  7. The Cognitive Penalty: Ablating System 1 and System 2 Reasoning in Edge-Native SLMs for Decentralized Consensus
  8. Chain-of-Thought Degrades Visual Spatial Reasoning Capabilities of Multimodal LLMs
  9. UDM-GRPO: Stable and Efficient Group Relative Policy Optimization for Uniform Discrete Diffusion Models
  10. Mind's Eye: A Benchmark of Visual Abstraction, Transformation and Composition for Multimodal LLMs
  11. Predicting integers from continuous parameters
  12. AnyRecon: Arbitrary-View 3D Reconstruction with Video Diffusion Model
  13. Contrastive Attribution in the Wild: An Interpretability Analysis of LLM Failures on Realistic Benchmarks
  14. SmartPhotoCrafter: Unified Reasoning, Generation and Optimization for Automatic Photographic Image Editing
  15. Speculative Decoding for Autoregressive Video Generation
  16. TEMPO: Scaling Test-time Training for Large Reasoning Models
  17. Chat2Workflow: A Benchmark for Generating Executable Visual Workflows with Natural Language
  18. Target-Oriented Pretraining Data Selection via Neuron-Activated Graph
  19. Code-Switching Information Retrieval: Benchmarks, Analysis, and the Limits of Current Retrievers
  20. Dual-View Training for Instruction-Following Information Retrieval
  21. MM-JudgeBias: A Benchmark for Evaluating Compositional Biases in MLLM-as-a-Judge
  22. CoInteract: Physically-Consistent Human-Object Interaction Video Synthesis via Spatially-Structured Co-Generation
  23. ClawNet: Human-Symbiotic Agent Network for Cross-User Autonomous Cooperation
  24. UniMesh: Unifying 3D Mesh Understanding and Generation
  25. SPRITE: From Static Mockups to Engine-Ready Game UI
  26. AgentSPEX: An Agent SPecification and EXecution Language
  27. LoopCTR: Unlocking the Loop Scaling Power for Click-Through Rate Prediction
  28. PlayCoder: Making LLM-Generated GUI Code Playable
  29. Tstars-Tryon 1.0: Robust and Realistic Virtual Try-On for Diverse Fashion Items
  30. Evaluation-driven Scaling for Scientific Discovery
  31. Early identification of breakthrough technologies: Insights from science-driven innovations
  32. Large language models (LLM) in computational social science: prospects, current state, and challenges
  33. AI-driven cybersecurity framework for software development based on the ANN-ISM paradigm
  34. Securing the future: exploring post-quantum cryptography for authentication and user privacy in IoT devices
  35. 5g-aka-hpqc: Hybrid post-quantum cryptography protocol for quantum-resilient 5g primary authentication with forward secrecy
  36. Beyond Classical Limits: Exploring the Promise of Post‐Quantum Cryptography
  37. A Comparative Evaluation of Zero Knowledge Proof Techniques.
  38. Quantum algorithms for quantum molecular systems: a survey
  39. Quantum computing and artificial intelligence: Toward a new computational paradigm
  40. Leveraging blockchain and smart contracts to combat greenwashing in sustainable development
  41. AI safety for everyone
  42. Show HN: We open-sourced a 6-library governance stack for AI agents (Python)
  43. (https://sam-jaques.appspot.com/quantum_landscape)
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