Carlos's Debrief

April 27, 2026 04:00
46ArXiv Papers
22Web Findings
68Total 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 27, 2026 04:00 — Curated by Hermes Research Scout

⚡ Quick Summary

📰 News Headlines

📄 ArXiv Papers

🧠 LLMs 7

An Undecidability Proof for the Plan Existence Problem [2]
Antonis Achilleos
The plan existence problem asks, given a goal in the form of a formula in modal logic, an initial epistemic state (a pointed Kripke model), and a set of epistemic actions, whether…
cs.LO, cs.AI
Aligning Dense Retrievers with LLM Utility via DistillationAligning Dense Retrievers with LLM Utility via Distillation [3]
Rajinder Sandhu, Di Mu, Cheng Chang, Md Shahriar Tasjid, Himanshu Rai, Maksims Volkovs, Ga Wu
Dense vector retrieval is the practical backbone of Retrieval- Augmented Generation (RAG), but similarity search can suffer from precision limitations. Conversely, utility-based…
cs.IR, cs.AI, cs.LG
CRAFT: Clustered Regression for Adaptive Filtering of Training data [4]
Parthasarathi Panda, Asheswari Swain, Subhrakanta Panda
Selecting a small, high-quality subset from a large corpus for fine-tuning is increasingly important as corpora grow to tens of millions of datapoints, making full fine-tuning…
cs.CL, cs.AI
From Natural Language to Verified Code: Toward AI Assisted Problem-to-Code Generation with Dafny-Based Formal Verification [7]
Md Erfan, Md Kamal Hossain Chowdhury, Ahmed Ryan, Md Rayhanur Rahman
Large Language Models (LLMs) show promise in automated software engineering, yet their guarantee of correctness is frequently undermined by erroneous or hallucinated code. To…
cs.SE, cs.AI
Neural Recovery of Historical Lexical Structure in Bantu Languages from Modern Data [13]
Hillary Mutisya, John Mugane
We investigate whether neural models trained exclusively on modern morphological data can recover cross-lingual lexical structure consistent with historical reconstruction. Using…
cs.LG, cs.CL
Zero-Shot Morphological Discovery in Low-Resource Bantu Languages via Cross-Lingual Transfer and Unsupervised Clustering [14]
Hillary Mutisya, John Mugane
We present a method for discovering morphological features in low-resource Bantu languages by combining cross-lingual transfer learning with unsupervised clustering. Applied to…
cs.LG, cs.CL
BERAG: Bayesian Ensemble Retrieval-Augmented Generation for Knowledge-based Visual Question Answering [37]
Jinghong Chen, Jingbiao Mei, Guangyu Yang, Bill Byrne
A common approach to question answering with retrieval-augmented generation (RAG) is to concatenate documents into a single context and pass it to a language model to generate an…
cs.CL

⚙️ Machine Learning 15

Spend Less, Fit Better: Budget-Efficient Scaling Law Fitting via Active Experiment Selection [11]
Sijie Li, Shanda Li, Haowei Lin, Weiwei Sun, Ameet Talwalkar, Yiming Yang
Scaling laws are used to plan multi-million-dollar training runs, but fitting those laws can itself cost millions. In modern large-scale workflows, assembling a sufficiently…
cs.LG
Relaxation-Informed Training of Neural Network Surrogate Models [12]
Calvin Tsay
ReLU neural networks trained as surrogate models can be embedded exactly in mixed-integer linear programs (MILPs), enabling global optimization over the learned function. The…
math.OC, cs.LG
Time-Localized Parametric Decomposition of Respiratory Airflow for Sub-Breath Analysis [15]
Victoria Ribeiro Rodrigues, Paul W. Davenport, Nicholas J. Napoli
Respiratory airflow signals provide critical insight into breathing mechanics, yet conventional analysis methods remain limited in their ability to characterize the internal…
eess.SP, cs.LG
Operational Feature Fingerprints of Graph Datasets via a White-Box Signal-Subspace Probe [16]
Yuchen Xiong, Swee Keong Yeap, Zhen Hong Ban
Graph neural networks achieve strong node-classification accuracy, but their learned message passing entangles ego attributes, neighborhood smoothing, high-pass graph differences,…
cs.LG
Iterative Model-Learning Scheme via Gaussian Processes for Nonlinear Model Predictive Control of (Semi-)Batch Processes [17]
Tai Xuan Tan, Alexander Mitsos, Eike Cramer
Batch processes are inherently transient and typically nonlinear, motivating nonlinear model predictive control (NMPC). However, adopting NMPC is hindered by the cost and…
cs.LG
Associativity-Peakiness Metric for Contingency Tables [18]
Naomi E. Zirkind, William J. Diehl
For the use case of comparing the performance of clustering algorithms whose output is a contingency table, a single performance metric for contingency tables is needed. Such a…
cs.LG
Multiplex Hypergraph Modeling of Higher Order Structures in Psychometric Networks [22]
Francesca Possenti, Laura Girelli, Paolo Tieri, Manuela Petti
Psychiatric disorders have been traditionally conceptualized as latent conditions producing observable symptoms, but recent studies suggest that psychopathology may emerge from…
cs.SI, cs.IT, q-bio.QM
Segre invariants of principal bundles over a curve [32]
George H. Hitching, Alfonso Zamora
For a vector bundle $V$ over a curve $X$, the Segre invariant $s_n (V)$ encodes the maximal degree attained by rank $n$ subbundles of $V$. The functions $s_n$ define…
math.AG
SS3D: End2End Self-Supervised 3D from Web Videos [36]
Marwane Hariat, Gianni Franchi, David Filliat, Antoine Manzanera
We present SS3D, a web-scale SfM-based self-supervision pretraining pipeline for feed-forward 3D estimation from monocular video. Our model jointly predicts depth, ego-motion, and…
cs.CV
Minimax Optimal Procedures for Joint Detection and Estimation [39]
Dominik Reinhard, Michael Fauß, Abdelhak M. Zoubir
We investigate the problem of jointly testing a pair of composite hypotheses and, depending on the test result, estimating a random parameter under distributional uncertainties.…
eess.SP, cs.IT
Non-linear geometry of multiple zeta values [40]
Francis Brown
Since their rediscovery in the 1990s, multiple zeta values have become ubiquitous in many areas of mathematics and physics. Their standard integral and sum representations can…
math.NT, hep-th, math-ph, math.AG
Radiation outer boundary conditions and near-to-far field signal transformations for the Bardeen-Press equation [41]
Som Dev Bishoyi, Scott E. Field, Stephen R. Lau
Several theoretical and astrophysical problems - including gravitational-wave modeling for extreme mass-ratio inspirals - require accurate time-domain solutions of the spin-weight…
gr-qc, math.NA
Craig-Bampton-based Quadratic Manifold for Nonlinear Substructuring [42]
Alexander Saccani, Paolo Tiso
Component Mode Synthesis methods, such as the Craig-Bampton (CB) approach, are widely used in structural dynamics due to their modularity and compatibility with substructuring…
math.NA, physics.comp-ph
When AI Meets Terahertz: A Survey on the Symbiosis of Artificial Intelligence and Terahertz Networks [43]
Chong Han, Jingting Jiang, Zhengdong Hu, Meixia Tao, Wenjun Zhang
The Terahertz (THz) band (0.1-10 THz) has emerged as a critical frontier for future communication systems, offering ultra-wide bandwidths that enable Terabits-per-second (Tbps)…
eess.SP
DeepHartree: A Poisson-Coupled Neural Field for Scalable Density Functional Theory [45]
Jiankun Wu, Jinming Fan, Chao Qian, Shaodong Zhou
Ab initio calculations are fundamentally bottlenecked for large systems by the steep computational scaling of solving self-consistent field (SCF) equations. While machine learning…
physics.chem-ph

🔒 Security & Crypto 7

Adversarial Malware Generation in Linux ELF Binaries via Semantic-Preserving Transformations [24]
Lukáš Hrdonka, Martin Jureček
Malware development and detection have undergone significant changes in recent years as modern concepts, such as machine learning, have been used for both adversarial attacks and…
cs.CR, cs.LG
Detecting Concept Drift in Evolving Malware Families Using Rule-Based Classifier Representations [25]
Tomáš Kalný, Martin Jureček, Mark Stamp
This work proposes a structural approach to concept drift detection in malware classification using decision tree rulesets. Classifiers are trained across temporal windows on the…
cs.CR, cs.LG
Adversarial Co-Evolution of Malware and Detection Models: A Bilevel Optimization Perspective [27]
Olha Jurečková, Martin Jureček, Matouš Kozák, Róbert Lórencz
Machine learning-based malware detectors are increasingly vulnerable to adversarial examples. Traditional defenses, such as one-shot adversarial training, often fail against…
cs.CR, cs.LG
ArmSSL: Adversarial Robust Black-Box Watermarking for Self-Supervised Learning Pre-trained Encoders [28]
Yongqi Jiang, Yansong Gao, Boyu Kuang, Chunyi Zhou, Anmin Fu, Liquan Chen
Self-supervised learning (SSL) encoders are invaluable intellectual property (IP). However, no existing SSL watermarking for IP protection can concurrently satisfy the following…
cs.CR, cs.AI
Information-Theoretic Authenticated PIR: From PIR-RV To APIR [29]
Pengzhen Ke, Yuxuan Qin, Liang Feng Zhang
Private Information Retrieval (PIR) allows clients to retrieve database entries without leaking retrieval indices, yet malicious servers seriously compromise retrieval…
cs.CR
SSG: Logit-Balanced Vocabulary Partitioning for LLM Watermarking [30]
Chenxi Gu, Xiaoning Du, John Grundy
Watermarking has emerged as a promising technique for tracing the authorship of content generated by large language models (LLMs). Among existing approaches, the KGW scheme is…
cs.CR, cs.AI, cs.CL
Horizontal SCA Attacks on Binary kP Algorithms using Chevallier-Mames Atomic Blocks [31]
Gerald Isheanesu Matungamire, Alkistis Aikaterini Sigourou, Gerrit Schrock, Zoya Dyka, Peter Langendoerfer, Ievgen Kabin
Scalar multiplication kP is the operation most frequently targeted in Elliptic Curve (EC) cryptosystems. To protect against single-trace Side-Channel Analysis (SCA) attacks, the…
cs.CR

🔐 Zero Knowledge 1

A new framework of zero mean curvature surfaces in the isotropic 3-space [35]
Riku Kishida
We introduce a class of zero mean curvature surfaces with singularities in the isotropic 3-space, called ZMC-faces. As a main result, we establish three Osserman-type inequalities…
math.DG

⚛️ Quantum 5

Thermometry for a Kagome Lattice Dipolar Rydberg Simulator [23]
Erik Fitzner, Igor Lesanovsky, Björn Sbierski
We propose an accurate thermometry approach for Rydberg atom tweezer arrays combining data from correlation and local susceptibility measurements with a theoretical…
cond-mat.quant-gas, cond-mat.str-el
Carrollian quantum states and flat space holography [33]
Stefan Fredenhagen, Stefan Prohazka, Robert Tiefenbacher
We study free Carrollian quantum field theories from an algebraic perspective and explore their implications for flat space holography. As explicit examples, we construct the…
hep-th, gr-qc, math-ph
Correlated Quantum Dephasometry: Symmetry-Resolved Noise Spectroscopy of Two-Dimensional Superconductors and Altermagnets [38]
Wenbo Sun, Zubin Jacob
Symmetry-resolved spectroscopies, such as angle-resolved photoemission spectroscopy and polarization-resolved Raman, are central for quantum material characterization, yet remain…
quant-ph
Approaching the Limit of Quantum Clock Precision [44]
Chad Nelmes, Emanuel Schwarzhans, Tony Apollaro, Timothy Spiller, Irene D'Amico
Precise and autonomous clocks are of fundamental interest and central importance to both foundational studies and practical applications. Here, we construct a blueprint for a…
quant-ph, cond-mat.other, physics.comp-ph
Replica Tensor Train [46]
Miha Srdinsek, Gabriel Gouraud, Xavier Waintal
We describe a numerical many-body technique that is based on both tensor networks and quantum Monte Carlo. The variational ansatz is a tensor network that can harvest volume-law…
cond-mat.str-el, cond-mat.dis-nn, quant-ph

🛡️ AI Safety 3

How Supply Chain Dependencies Complicate Bias Measurement and Accountability Attribution in AI Hiring Applications [5]
Gauri Sharma, Maryam Molamohammadi
The increasing adoption of AI systems in hiring has raised concerns about algorithmic bias and accountability, prompting regulatory responses including the EU AI Act, NYC Local…
cs.CY, cs.AI
Rethinking XAI Evaluation: A Human-Centered Audit of Shapley Benchmarks in High-Stakes Settings [6]
Inês Oliveira e Silva, Sérgio Jesus, Iker Perez, Rita P. Ribeiro, Carlos Soares, Hugo Ferreira, Pedro Bizarro
Shapley values are a cornerstone of explainable AI, yet their proliferation into competing formulations has created a fragmented landscape with little consensus on practical…
cs.LG, cs.AI, cs.HC
Representational Harms in LLM-Generated Narratives Against Global Majority Nationalities [20]
Ilana Nguyen, Harini Suresh, Thema Monroe-White, Evan Shieh
Large language models (LLMs) are increasingly used for text generation tasks from everyday use to high-stakes enterprise and government applications, including simulated…
cs.CL

🤖 Agents 8

Agentic World Modeling: Foundations, Capabilities, Laws, and Beyond [1]
Meng Chu, Xuan Billy Zhang, Kevin Qinghong Lin, Lingdong Kong, Jize Zhang, Teng Tu, Weijian Ma, Ziqi Huang, Senqiao Yang, Wei Huang, Yeying Jin, Zhefan Rao, Jinhui Ye, Xinyu Lin, Xichen Zhang, Qisheng Hu, Shuai Yang, Leyang Shen, Wei Chow, Yifei Dong, Fengyi Wu, Quanyu Long, Bin Xia, Shaozuo Yu, Mingkang Zhu, Wenhu Zhang, Jiehui Huang, Haokun Gui, Haoxuan Che, Long Chen, Qifeng Chen, Wenxuan Zhang, Wenya Wang, Xiaojuan Qi, Yang Deng, Yanwei Li, Mike Zheng Shou, Zhi-Qi Cheng, See-Kiong Ng, Ziwei Liu, Philip Torr, Jiaya Jia
As AI systems move from generating text to accomplishing goals through sustained interaction, the ability to model environment dynamics becomes a central bottleneck. Agents that…
cs.AI
Rethinking Math Reasoning Evaluation: A Robust LLM-as-a-Judge Framework Beyond Symbolic Rigidity [8]
Erez Yosef, Oron Anschel, Shunit Haviv Hakimi, Asaf Gendler, Adam Botach, Nimrod Berman, Igor Kviatkovsky
Recent advancements in large language models have led to significant improvements across various tasks, including mathematical reasoning, which is used to assess models'…
cs.AI
QuantClaw: Precision Where It Matters for OpenClaw [9]
Manyi Zhang, Ji-Fu Li, Zhongao Sun, Xiaohao Liu, Zhenhua Dong, Xianzhi Yu, Haoli Bai, Xiaobo Xia
Autonomous agent systems such as OpenClaw introduce significant efficiency challenges due to long-context inputs and multi-turn reasoning. This results in prohibitively high…
cs.AI, cs.CL
Learning Evidence Highlighting for Frozen LLMs [10]
Shaoang Li, Yanhang Shi, Yufei Li, Mingfu Liang, Xiaohan Wei, Yunchen Pu, Fei Tian, Chonglin Sun, Frank Shyu, Luke Simon, Sandeep Pandey, Xi Liu, Jian Li
Large Language Models (LLMs) can reason well, yet often miss decisive evidence when it is buried in long, noisy contexts. We introduce HiLight, an Evidence Emphasis framework that…
cs.CL, cs.AI
How Do AI Agents Spend Your Money? Analyzing and Predicting Token Consumption in Agentic Coding Tasks [19]
Longju Bai, Zhemin Huang, Xingyao Wang, Jiao Sun, Rada Mihalcea, Erik Brynjolfsson, Alex Pentland, Jiaxin Pei
The wide adoption of AI agents in complex human workflows is driving rapid growth in LLM token consumption. When agents are deployed on tasks that require a significant amount of…
cs.CL, cs.CY, cs.HC, cs.SE
Code for All: Educational Applications of the "Vibe Coding" Hackathon in Programming Education across All Skill Levels [21]
Ashley J. Chen, Yijia Cao, Minghao Shao, Ramesh Karri, Muhammad Shafique
The emergence of large language models has enabled vibe coding, a natural language approach to programming in which users describe intent and AI generates or revises code,…
cs.SE
PASS: A Provenanced Access Subaccount System for Blockchain Wallets [26]
Jay Yu, Shunfan Zhou, Hang Yin, Brian Seong
Blockchain wallets conventionally follow an ownership model where possession of a private key grants unilateral control. However, this assumption is brittle for emerging settings…
cs.CR
ATRS: Adaptive Trajectory Re-splitting via a Shared Neural Policy for Parallel Optimization [34]
Jiajun Yu, Guodong Liu, Li Wang, Pengxiang Zhou, Wentao Liu, Yin He, Chao Xu, Fei Gao, Yanjun Cao
Parallel trajectory optimization via the Alternating Direction Method of Multipliers (ADMM) has emerged as a scalable approach to long-horizon motion planning. However, existing…
cs.RO

🌐 Web Findings

🤗 HuggingFace Papers 12

Contexts are Never Long Enough: Structured Reasoning for Scalable Question Answering over Long Document Sets
Real-world document question answering is challenging. Analysts must synthesize evidence across multiple documents and different parts of each document. However, any fixed LLM…
HuggingFace
Sessa: Selective State Space Attention
Modern sequence modeling is dominated by two families: Transformers, whose self-attention can access arbitrary elements of the visible sequence, and structured state-space models,…
HuggingFace
FlowAnchor: Stabilizing the Editing Signal for Inversion-Free Video Editing
We propose FlowAnchor, a training-free framework for stable and efficient inversion-free, flow-based video editing. Inversion-free editing methods have recently shown impressive…
HuggingFace
DiffNR: Diffusion-Enhanced Neural Representation Optimization for Sparse-View 3D Tomographic Reconstruction
Neural representations (NRs), such as neural fields and 3D Gaussians, effectively model volumetric data in computed tomography (CT) but suffer from severe artifacts under…
HuggingFace
AgriIR: A Scalable Framework for Domain-Specific Knowledge Retrieval
This paper introduces AgriIR, a configurable retrieval augmented generation (RAG) framework designed to deliver grounded, domain-specific answers while maintaining flexibility and…
HuggingFace
dWorldEval: Scalable Robotic Policy Evaluation via Discrete Diffusion World Model
Evaluating robotics policies across thousands of environments and thousands of tasks is infeasible with existing approaches. This motivates the need for a new methodology for…
HuggingFace
LLM Safety From Within: Detecting Harmful Content with Internal Representations
Guard models are widely used to detect harmful content in user prompts and LLM responses. However, state-of-the-art guard models rely solely on terminal-layer representations and…
HuggingFace
AgentSearchBench: A Benchmark for AI Agent Search in the Wild
The rapid growth of AI agent ecosystems is transforming how complex tasks are delegated and executed, creating a new challenge of identifying suitable agents for a given task.…
HuggingFace
Learning Evidence Highlighting for Frozen LLMs
Large Language Models (LLMs) can reason well, yet often miss decisive evidence when it is buried in long, noisy contexts. We introduce HiLight, an Evidence Emphasis framework that…
HuggingFace
Agentic World Modeling: Foundations, Capabilities, Laws, and Beyond
As AI systems move from generating text to accomplishing goals through sustained interaction, the ability to model environment dynamics becomes a central bottleneck. Agents that…
HuggingFace
EditCrafter: Tuning-free High-Resolution Image Editing via Pretrained Diffusion Model
We propose EditCrafter, a high-resolution image editing method that operates without tuning, leveraging pretrained text-to-image (T2I) diffusion models to process images at…
HuggingFace
Abstain-R1: Calibrated Abstention and Post-Refusal Clarification via Verifiable RL
Reinforcement fine-tuning improves the reasoning ability of large language models, but it can also encourage them to answer unanswerable queries by guessing or hallucinating…
HuggingFace

🦞 Lobste.rs 2

Everything That Went Wrong With Claude
A satirical timeline of Claude and Anthropic controversies, outages, bans, legal disputes, policy fights, and quality complaints.
Lobste.rs
ChatGPT Won't Let You Type Until Cloudflare Reads Your React State. I Decrypted the Program That Does It
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 you analyze live…
Lobste.rs

👾 Hacker News 2

Goldman, JPMorgan Show Wall Street's Split in Quantum Computing Race
Goldman, JPMorgan Show Wall Street's Split in Quantum Computing Race
Hacker News
(https://www.bloomberg.com/news/features/2026-04-26/wall-street-s-quantum-computing-divide-goldman-retreats-jpmorgan-invests)
(https://www.bloomberg.com/news/features/2026-04-26/wall-street-s-quantum-computing-divide-goldman-retreats-jpmorgan-invests)
Hacker News

🎓 Google Scholar 6

Large language model (llm) for software security: Code analysis, malware analysis, reverse engineering
Large language model (llm) for software security: Code analysis, malware analysis, reverse engineering
Google Scholar
The large language models on biomedical data analysis: a survey
With the rapid development of Large Language Model (LLM) technology, it has become an indispensable force in biomedical data analysis research. However, biomedical researchers…
Google Scholar
OpenFOAMGPT: A retrieval-augmented large language model (LLM) agent for OpenFOAM-based computational fluid dynamics
OpenFOAMGPT: A retrieval-augmented large language model (LLM) agent for OpenFOAM-based computational fluid dynamics
Google Scholar
Artificial intelligence and machine learning in cybersecurity: a deep dive into state-of-the-art techniques and future paradigms
Artificial intelligence and machine learning in cybersecurity: a deep dive into state-of-the-art techniques and future paradigms
Google Scholar
Post-Quantum Cryptography for Intelligent Transportation Systems: An Implementation-Focused Review
Post-Quantum Cryptography for Intelligent Transportation Systems: An Implementation-Focused Review
Google Scholar
Quantum machine learning: A comprehensive review of integrating AI with quantum computing for computational advancements
Quantum machine learning: A comprehensive review of integrating AI with quantum computing for computational advancements
Google Scholar

🔗 All Sources

  1. [1] Agentic World Modeling: Foundations, Capabilities, Laws, and Beyond
  2. [2] An Undecidability Proof for the Plan Existence Problem
  3. [3] Aligning Dense Retrievers with LLM Utility via DistillationAligning Dense Retrievers with LLM Utility via Distillation
  4. [4] CRAFT: Clustered Regression for Adaptive Filtering of Training data
  5. [5] How Supply Chain Dependencies Complicate Bias Measurement and Accountability Attribution in AI Hiring Applications
  6. [6] Rethinking XAI Evaluation: A Human-Centered Audit of Shapley Benchmarks in High-Stakes Settings
  7. [7] From Natural Language to Verified Code: Toward AI Assisted Problem-to-Code Generation with Dafny-Based Formal Verification
  8. [8] Rethinking Math Reasoning Evaluation: A Robust LLM-as-a-Judge Framework Beyond Symbolic Rigidity
  9. [9] QuantClaw: Precision Where It Matters for OpenClaw
  10. [10] Learning Evidence Highlighting for Frozen LLMs
  11. [11] Spend Less, Fit Better: Budget-Efficient Scaling Law Fitting via Active Experiment Selection
  12. [12] Relaxation-Informed Training of Neural Network Surrogate Models
  13. [13] Neural Recovery of Historical Lexical Structure in Bantu Languages from Modern Data
  14. [14] Zero-Shot Morphological Discovery in Low-Resource Bantu Languages via Cross-Lingual Transfer and Unsupervised Clustering
  15. [15] Time-Localized Parametric Decomposition of Respiratory Airflow for Sub-Breath Analysis
  16. [16] Operational Feature Fingerprints of Graph Datasets via a White-Box Signal-Subspace Probe
  17. [17] Iterative Model-Learning Scheme via Gaussian Processes for Nonlinear Model Predictive Control of (Semi-)Batch Processes
  18. [18] Associativity-Peakiness Metric for Contingency Tables
  19. [19] How Do AI Agents Spend Your Money? Analyzing and Predicting Token Consumption in Agentic Coding Tasks
  20. [20] Representational Harms in LLM-Generated Narratives Against Global Majority Nationalities
  21. [21] Code for All: Educational Applications of the "Vibe Coding" Hackathon in Programming Education across All Skill Levels
  22. [22] Multiplex Hypergraph Modeling of Higher Order Structures in Psychometric Networks
  23. [23] Thermometry for a Kagome Lattice Dipolar Rydberg Simulator
  24. [24] Adversarial Malware Generation in Linux ELF Binaries via Semantic-Preserving Transformations
  25. [25] Detecting Concept Drift in Evolving Malware Families Using Rule-Based Classifier Representations
  26. [26] PASS: A Provenanced Access Subaccount System for Blockchain Wallets
  27. [27] Adversarial Co-Evolution of Malware and Detection Models: A Bilevel Optimization Perspective
  28. [28] ArmSSL: Adversarial Robust Black-Box Watermarking for Self-Supervised Learning Pre-trained Encoders
  29. [29] Information-Theoretic Authenticated PIR: From PIR-RV To APIR
  30. [30] SSG: Logit-Balanced Vocabulary Partitioning for LLM Watermarking
  31. [31] Horizontal SCA Attacks on Binary kP Algorithms using Chevallier-Mames Atomic Blocks
  32. [32] Segre invariants of principal bundles over a curve
  33. [33] Carrollian quantum states and flat space holography
  34. [34] ATRS: Adaptive Trajectory Re-splitting via a Shared Neural Policy for Parallel Optimization
  1. [35] A new framework of zero mean curvature surfaces in the isotropic 3-space
  2. [36] SS3D: End2End Self-Supervised 3D from Web Videos
  3. [37] BERAG: Bayesian Ensemble Retrieval-Augmented Generation for Knowledge-based Visual Question Answering
  4. [38] Correlated Quantum Dephasometry: Symmetry-Resolved Noise Spectroscopy of Two-Dimensional Superconductors and Altermagnets
  5. [39] Minimax Optimal Procedures for Joint Detection and Estimation
  6. [40] Non-linear geometry of multiple zeta values
  7. [41] Radiation outer boundary conditions and near-to-far field signal transformations for the Bardeen-Press equation
  8. [42] Craig-Bampton-based Quadratic Manifold for Nonlinear Substructuring
  9. [43] When AI Meets Terahertz: A Survey on the Symbiosis of Artificial Intelligence and Terahertz Networks
  10. [44] Approaching the Limit of Quantum Clock Precision
  11. [45] DeepHartree: A Poisson-Coupled Neural Field for Scalable Density Functional Theory
  12. [46] Replica Tensor Train
  13. [47] Everything That Went Wrong With Claude
  14. [48] ChatGPT Won't Let You Type Until Cloudflare Reads Your React State. I Decrypted the Program That Does It
  15. [49] Contexts are Never Long Enough: Structured Reasoning for Scalable Question Answering over Long Document Sets
  16. [50] Sessa: Selective State Space Attention
  17. [51] FlowAnchor: Stabilizing the Editing Signal for Inversion-Free Video Editing
  18. [52] DiffNR: Diffusion-Enhanced Neural Representation Optimization for Sparse-View 3D Tomographic Reconstruction
  19. [53] AgriIR: A Scalable Framework for Domain-Specific Knowledge Retrieval
  20. [54] dWorldEval: Scalable Robotic Policy Evaluation via Discrete Diffusion World Model
  21. [55] LLM Safety From Within: Detecting Harmful Content with Internal Representations
  22. [56] AgentSearchBench: A Benchmark for AI Agent Search in the Wild
  23. [57] Learning Evidence Highlighting for Frozen LLMs
  24. [58] Agentic World Modeling: Foundations, Capabilities, Laws, and Beyond
  25. [59] EditCrafter: Tuning-free High-Resolution Image Editing via Pretrained Diffusion Model
  26. [60] Abstain-R1: Calibrated Abstention and Post-Refusal Clarification via Verifiable RL
  27. [61] Large language model (llm) for software security: Code analysis, malware analysis, reverse engineering
  28. [62] The large language models on biomedical data analysis: a survey
  29. [63] OpenFOAMGPT: A retrieval-augmented large language model (LLM) agent for OpenFOAM-based computational fluid dynamics
  30. [64] Artificial intelligence and machine learning in cybersecurity: a deep dive into state-of-the-art techniques and future paradigms
  31. [65] Post-Quantum Cryptography for Intelligent Transportation Systems: An Implementation-Focused Review
  32. [66] Quantum machine learning: A comprehensive review of integrating AI with quantum computing for computational advancements
  33. [67] Goldman, JPMorgan Show Wall Street's Split in Quantum Computing Race
  34. [68] (https://www.bloomberg.com/news/features/2026-04-26/wall-street-s-quantum-computing-divide-goldman-retreats-jpmorgan-invests)
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