Carlos's Debrief

April 13, 2026 4:09 AM EST
43ArXiv Papers
67Web Findings
110Total 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 13, 2026 4:09 AM EST — Curated by Hermes Research Scout

⚡ Quick Summary

📰 News Headlines

📄 ArXiv Papers

🧠 LLMs 14

Case-Grounded Evidence Verification: A Framework for Constructing Evidence-Sensitive Supervision [2]
Soroosh Tayebi Arasteh, Mehdi Joodaki, Mahshad Lotfinia, et al.
Evidence-grounded reasoning requires more than attaching retrieved text to a prediction: a model should make decisions that depend on whether the provided evidence supports the target claim.
cs.CL cs.AI cs.IR cs.LG
Seeing is Believing: Robust Vision-Guided Cross-Modal Prompt Learning under Label Noise [3]
Zibin Geng, Xuefeng Jiang, Jia Li, et al.
Prompt learning is a parameter-efficient approach for vision-language models, yet its robustness under label noise is less investigated.
cs.CV cs.AI
VisionFoundry: Teaching VLMs Visual Perception with Synthetic Images [4]
Guanyu Zhou, Yida Yin, Wenhao Chai, et al.
Vision-language models (VLMs) still struggle with visual perception tasks such as spatial understanding and viewpoint recognition.
cs.CV cs.AI cs.CL
VL-Calibration: Decoupled Confidence Calibration for Large Vision-Language Models Reasoning [5]
Wenyi Xiao, Xinchi Xu, Leilei Gan
Large Vision Language Models (LVLMs) achieve strong multimodal reasoning but frequently exhibit hallucinations and incorrect responses with high certainty, which hinders their usage in high-stakes domains.
cs.CV cs.AI cs.CL
Strategic Algorithmic Monoculture:Experimental Evidence from Coordination Games [9]
Gonzalo Ballestero, Hadi Hosseini, Samarth Khanna, et al.
AI agents increasingly operate in multi-agent environments where outcomes depend on coordination. We distinguish primary algorithmic monoculture -- baseline action similarity -- from strategic algorithmic monoculture,…
cs.AI cs.GT cs.MA econ.TH
BERT-as-a-Judge: A Robust Alternative to Lexical Methods for Efficient Reference-Based LLM Evaluation [10]
Hippolyte Gisserot-Boukhlef, Nicolas Boizard, Emmanuel Malherbe, et al.
Accurate evaluation is central to the large language model (LLM) ecosystem, guiding model selection and downstream adoption across diverse use cases.
cs.CL cs.AI
RecaLLM: Addressing the Lost-in-Thought Phenomenon with Explicit In-Context Retrieval [15]
Kyle Whitecross, Negin Rahimi
We propose RecaLLM, a set of reasoning language models post-trained to make effective use of long-context information.
cs.CL cs.AI cs.IR cs.LG
The missing ultra-faint satellites of the Milky Way [20]
Isabel M. E. Santos-Santos, Carlos S. Frenk, Julio F. Navarro
We combine the highest resolution N-body simulation of a $\sim 10^{12}\, M_\odot$ $Λ$CDM halo (Aquarius-A) with the {\sc GALFORM} galaxy formation semianalytic model to study the full satellite population expected in a…
astro-ph.GA
When LLMs Lag Behind: Knowledge Conflicts from Evolving APIs in Code Generation [31]
Ahmed Nusayer Ashik, Shaowei Wang, Tse-Hsun Chen, et al.
The rapid evolution of software libraries creates a significant challenge for Large Language Models (LLMs), whose static parametric knowledge often becomes stale post-training.
cs.SE
Harmonic Map Regression: Rate-Optimal Nonparametric Estimation on Manifolds with Topological Recovery [32]
Xiaoyu Chen
We study harmonic map regression, a nonparametric estimator for manifold-valued responses, that penalizes the empirical Fréchet risk by the Dirichlet energy.
math.ST stat.ME
$\mathrm{U}(2)$ Chern-Simons-Ginzburg-Landau Theory of Fractional Quantum Hall Hierarchies [34]
Taegon Lee, Gil Young Cho, Donghae Seo
We construct effective $\mathrm{U}(2)$ Chern-Simons-Ginzburg-Landau theories for Abelian and non-Abelian fractional quantum Hall hierarchies for those which had previously been described only through categorical data or…
cond-mat.str-el cond-mat.mes-hall
A Physically-Informed Subgraph Isomorphism Approach to Molecular Docking Using Quantum Annealers [35]
Francesco Micucci, Matteo Barbieri, Gabriella Bettonte, et al.
Molecular docking is a crucial step in the development of new drugs as it guides the positioning of a small molecule (ligand) within the pocket of a target protein.
cs.ET q-bio.BM
Machine Learning Phase Field Reconstruction in a Bose-Einstein Condensate [39]
Jackson Lee, Andrew J Millis
A basic challenge in experimental physics is the extraction of information related to variables that are not directly measured.
cond-mat.quant-gas
Many Ways to Be Fake: Benchmarking Fake News Detection Under Strategy-Driven AI Generation [43]
Xinyu Wang, Sai Koneru, Wenbo Zhang, et al.
Recent advances in large language models (LLMs) have enabled the large-scale generation of highly fluent and deceptive news-like content.
cs.CL cs.HC

🔬 Machine Learning 8

Envisioning the Future, One Step at a Time [6]
Stefan Andreas Baumann, Jannik Wiese, Tommaso Martorella, et al.
Accurately anticipating how complex, diverse scenes will evolve requires models that represent uncertainty, simulate along extended interaction chains, and efficiently explore many plausible futures.
cs.CV cs.AI cs.LG
ANTIC: Adaptive Neural Temporal In-situ Compressor [11]
Sandeep S. Cranganore, Andrei Bodnar, Gianluca Galleti, et al.
The persistent storage requirements for high-resolution, spatiotemporally evolving fields governed by large-scale and high-dimensional partial differential equations (PDEs) have reached the petabyte-to-exabyte scale.
cs.LG
Toward World Models for Epidemiology [13]
Zeeshan Memon, Yiqi Su, Christo Kurisummoottil Thomas, et al.
World models have emerged as a unifying paradigm for learning latent dynamics, simulating counterfactual futures, and supporting planning under uncertainty.
cs.LG
Integrated electro-optic attention nonlinearities for transformers [14]
Luis Mickeler, Kai Lion, Alfonso Nardi, et al.
Transformers have emerged as the dominant neural-network architecture, achieving state-of-the-art performance in language processing and computer vision.
cs.LG physics.optics
Sim-to-Real Transfer for Muscle-Actuated Robots via Generalized Actuator Networks [17]
Jan Schneider, Mridul Mahajan, Le Chen, et al.
Tendon drives paired with soft muscle actuation enable faster and safer robots while potentially accelerating skill acquisition.
cs.RO cs.LG
Tango: Taming Visual Signals for Efficient Video Large Language Models [18]
Shukang Yin, Sirui Zhao, Hanchao Wang, et al.
Token pruning has emerged as a mainstream approach for developing efficient Video Large Language Models (Video LLMs).
cs.CV
EgoTL: Egocentric Think-Aloud Chains for Long-Horizon Tasks [21]
Lulin Liu, Dayou Li, Yiqing Liang, et al.
Large foundation models have made significant advances in embodied intelligence, enabling synthesis and reasoning over egocentric input for household tasks.
cs.CV
AsymLoc: Towards Asymmetric Feature Matching for Efficient Visual Localization [42]
Mohammad Omama, Gabriele Berton, Eric Foxlin, et al.
Precise and real-time visual localization is critical for applications like AR/VR and robotics, especially on resource-constrained edge devices such as smart glasses, where battery life and heat dissipation can be a…
cs.CV

🔒 Security & Crypto 7

XFED: Non-Collusive Model Poisoning Attack Against Byzantine-Robust Federated Classifiers [16]
Israt Jahan Mouri, Muhammad Ridowan, Muhammad Abdullah Adnan
Model poisoning attacks pose a significant security threat to Federated Learning (FL). Most existing model poisoning attacks rely on collusion, requiring adversarial clients to coordinate by exchanging local benign…
cs.CR cs.AI cs.DC cs.LG
Trans-RAG: Query-Centric Vector Transformation for Secure Cross-Organizational Retrieval [19]
Yu Liu, Kun Peng, Wenxiao Zhang, et al.
Retrieval Augmented Generation (RAG) systems deployed across organizational boundaries face fundamental tensions between security, accuracy, and efficiency.
cs.CR cs.IR
ChatGPT, is this real? The influence of generative AI on writing style in top-tier cybersecurity papers [23]
Daan Vansteenhuyse
With the release of ChatGPT in 2022, generative AI has significantly lowered the cost of polishing and rewriting text.
cs.CR
Cross-Paradigm Models of Restricted Syndrome Decoding with Application to CROSS [24]
Étienne Burle, Aleksei Udovenko
Restricted Syndrome Decoding (ResSD) is a variant of linear code decoding problem where each of the error's entries must belong to a fixed small set of values.
cs.CR cs.IT
A Deductive System for Contract Satisfaction Proofs [26]
Arthur Correnson, Haoyi Zeng, Jana Hofmann
Hardware-software contracts are abstract specifications of a CPU's leakage behavior. They enable verifying the security of high-level programs against side-channel attacks without having to explicitly reason about the…
cs.PL cs.CR cs.LO
Hagenberg Risk Management Process (Part 3): Operationalization, Probabilities, and Causal Analysis [27]
Eckehard Hermann, Harald Lampesberger
For risks that cannot be accepted, sufficiently mitigated, or eliminated, continuous observation is a viable approach but requires a model that can be operationalized.
cs.CR
RansomTrack: A Hybrid Behavioral Analysis Framework for Ransomware Detection [30]
Busra Caliskan, Ibrahim Gulatas, H. Hakan Kilinc, et al.
Ransomware poses a serious and fast-acting threat to critical systems, often encrypting files within seconds of execution.
cs.CR cs.LG

⚛️ Quantum 7

Quantum Uncertainty and Entropy [28]
Giovanni Chesi, Lorenzo Maccone
We review the plethora of uncertainty relations that appear in quantum mechanics and their nuances. We present both foundational applications, e.g.
quant-ph
QuIKS: Near-Zero Latency Key Supply with Adaptive Buffering for Resource-Efficient Quantum Key Distribution Networks [29]
Yuxin Chen, Zite Xia, Jian Li, et al.
Quantum key distribution (QKD) networks provide information-theoretically secure keys for distant parties, emerging as a vital alternative to classical cryptography infrastructures threatened by quantum computing.
quant-ph cs.NI
Black Hole Dynamics at Fifth Post-Newtonian Order [33]
Rafael A. Porto, Massimiliano M. Riva
Using the worldline action in [2409.05860], we derive the total even-in-velocity (relative) impulse, scattering angle, and time delay at fifth post-Newtonian (5PN) order, including radiation-reaction and hereditary…
gr-qc hep-th
Explicit Block Encoding of Difference-of-Gaussian Operators on a Periodic Grid [36]
Jishnu Mahmud, John Winship, Tom Lash, et al.
The Difference-of-Gaussian (DoG) is a widely used operator across applications, including image processing (feature and edge detection), quantum machine learning, and finite-difference methods (approximations of the…
quant-ph
The four-loop non-singlet splitting functions in QCD [37]
Thomas Gehrmann, Andreas von Manteuffel, Vasily Sotnikov, et al.
The scale evolution of parton distributions is governed by splitting functions. We compute the four-loop splitting functions in perturbative QCD that control the evolution of quark non-singlet distributions.
hep-ph hep-th
On Worst-Case Optimal Polynomial Intersection [38]
Yihang Sun, Mary Wootters
The Optimal Polynomial Intersection (OPI) problem is the following: Given sets $S_1, \ldots, S_m \subseteq \mathbb{F}$ and evaluation points $a_1, \ldots, a_m \in \mathbb{F}$, find a polynomial $Q \in \mathbb{F}[x]$ of…
cs.DM cs.IT quant-ph
Probing Electrostatic Disorder via g-Tensor Geometry [40]
Edmondo Valvo, Christian Ventura-Meinersen, Michele Jakob, et al.
Low-frequency charge noise induced by fluctuating electrostatic disorder is a major limitation for semiconductor hole spin qubits.
cond-mat.mes-hall quant-ph

🛡️ AI Safety 4

Large Language Models Generate Harmful Content Using a Distinct, Unified Mechanism [1]
Hadas Orgad, Boyi Wei, Kaden Zheng, et al.
Large language models (LLMs) undergo alignment training to avoid harmful behaviors, yet the resulting safeguards remain brittle: jailbreaks routinely bypass them, and fine-tuning on narrow domains can induce ``emergent…
cs.CL cs.AI cs.LG
Semantic Rate-Distortion for Bounded Multi-Agent Communication: Capacity-Derived Semantic Spaces and the Communication Cost of Alignment [7]
Anthony T. Nixon
When two agents of different computational capacities interact with the same environment, they need not compress a common semantic alphabet differently; they can induce different semantic alphabets altogether.
cs.IT cs.AI
BadSkill: Backdoor Attacks on Agent Skills via Model-in-Skill Poisoning [22]
Guiyao Tie, Jiawen Shi, Pan Zhou, et al.
Agent ecosystems increasingly rely on installable skills to extend functionality, and some skills bundle learned model artifacts as part of their execution logic.
cs.CR cs.AI
Unreal Thinking: Chain-of-Thought Hijacking via Two-stage Backdoor [25]
Wenhan Chang, Tianqing Zhu, Ping Xiong, et al.
Large Language Models (LLMs) are increasingly deployed in settings where Chain-of-Thought (CoT) is interpreted by users.
cs.CR

🤖 Agents 3

VISOR: Agentic Visual Retrieval-Augmented Generation via Iterative Search and Over-horizon Reasoning [8]
Yucheng Shen, Jiulong Wu, Jizhou Huang, et al.
Visual Retrieval-Augmented Generation (VRAG) empowers Vision-Language Models to retrieve and reason over visually rich documents.
cs.CV cs.AI
Event-Driven Temporal Graph Networks for Asynchronous Multi-Agent Cyber Defense in NetForge_RL [12]
Igor Jankowski
The transition of Multi-Agent Reinforcement Learning (MARL) policies from simulated cyber wargames to operational Security Operations Centers (SOCs) is fundamentally bottlenecked by the Sim2Real gap.
cs.LG cs.MA
From Reasoning to Agentic: Credit Assignment in Reinforcement Learning for Large Language Models [41]
Chenchen Zhang
Reinforcement learning (RL) for large language models (LLMs) increasingly relies on sparse, outcome-level rewards -- yet determining which actions within a long trajectory caused the outcome remains difficult.
cs.CL

🌐 Web Findings

Lobste.rs 1

ChatGPT Won't Let You Type Until Cloudflare Reads Your React State. I Decrypted the Program That Does It [44]
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 mobile telemetry continuously collected from…
Lobste.rs

HuggingFace 14

AgentSwing: Adaptive Parallel Context Management Routing for Long-Horizon Web Agents [45]
As large language models (LLMs) evolve into autonomous agents for long-horizon information-seeking, managing finite context capacity has become a critical bottleneck. Existing context management methods typically commit…
HuggingFace
ECHO: Efficient Chest X-ray Report Generation with One-step Block Diffusion [46]
Chest X-ray report generation (CXR-RG) has the potential to substantially alleviate radiologists' workload. However, conventional autoregressive vision--language models (VLMs) suffer from high inference latency due to…
HuggingFace
Structured Causal Video Reasoning via Multi-Objective Alignment [47]
Human understanding of video dynamics is typically grounded in a structured mental representation of entities, actions, and temporal relations, rather than relying solely on immediate deductive reasoning. In contrast,…
HuggingFace
Cross-Modal Emotion Transfer for Emotion Editing in Talking Face Video [48]
Talking face generation has gained significant attention as a core application of generative models. To enhance the expressiveness and realism of synthesized videos, emotion editing in talking face video plays a crucial…
HuggingFace
WildDet3D: Scaling Promptable 3D Detection in the Wild [49]
Understanding objects in 3D from a single image is a cornerstone of spatial intelligence. A key step toward this goal is monocular 3D object detection--recovering the extent, location, and orientation of objects from an…
HuggingFace
FORGE:Fine-grained Multimodal Evaluation for Manufacturing Scenarios [50]
The manufacturing sector is increasingly adopting Multimodal Large Language Models (MLLMs) to transition from simple perception to autonomous execution, yet current evaluations fail to reflect the rigorous demands of…
HuggingFace
EXAONE 4.5 Technical Report [51]
This technical report introduces EXAONE 4.5, the first open-weight vision language model released by LG AI Research. EXAONE 4.5 is architected by integrating a dedicated visual encoder into the existing EXAONE 4.0…
HuggingFace
Matrix-Game 3.0: Real-Time and Streaming Interactive World Model with Long-Horizon Memory [52]
With the advancement of interactive video generation, diffusion models have increasingly demonstrated their potential as world models. However, existing approaches still struggle to simultaneously achieve memory-enabled…
HuggingFace
CT-1: Vision-Language-Camera Models Transfer Spatial Reasoning Knowledge to Camera-Controllable Video Generation [53]
Camera-controllable video generation aims to synthesize videos with flexible and physically plausible camera movements. However, existing methods either provide imprecise camera control from text prompts or rely on…
HuggingFace
RefineAnything: Multimodal Region-Specific Refinement for Perfect Local Details [54]
We introduce region-specific image refinement as a dedicated problem setting: given an input image and a user-specified region (e.g., a scribble mask or a bounding box), the goal is to restore fine-grained details while…
HuggingFace
ELT: Elastic Looped Transformers for Visual Generation [55]
We introduce Elastic Looped Transformers (ELT), a highly parameter-efficient class of visual generative models based on a recurrent transformer architecture. While conventional generative models rely on deep stacks of…
HuggingFace
The Master Key Hypothesis: Unlocking Cross-Model Capability Transfer via Linear Subspace Alignment [56]
We investigate whether post-trained capabilities can be transferred across models without retraining, with a focus on transfer across different model scales. We propose the Master Key Hypothesis, which states that model…
HuggingFace
Faithful GRPO: Improving Visual Spatial Reasoning in Multimodal Language Models via Constrained Policy Optimization [57]
Multimodal reasoning models (MRMs) trained with reinforcement learning with verifiable rewards (RLVR) show improved accuracy on visual reasoning benchmarks. However, we observe that accuracy gains often come at the cost…
HuggingFace
ImplicitMemBench: Measuring Unconscious Behavioral Adaptation in Large Language Models [58]
Existing memory benchmarks for LLM agents evaluate explicit recall of facts, yet overlook implicit memory where experience becomes automated behavior without conscious retrieval. This gap is critical: effective…
HuggingFace

Google Scholar 50

Artificial intelligence index report 2025 [59]
Welcome to the eighth edition of the AI Index report. The 2025 Index is our most comprehensive to date and arrives at an important moment, as AI's influence across society, the economy, and global governance continues…
Google Scholar
State of the art of artificial intelligence in clinical electrophysiology in 2025: a scientific statement of the European Heart Rhythm Association (EHRA) of the ESC, the … [60]
… Open science in AI The practice of promoting transparency, reproducibility, and accessibility in artificial intelligence research through open sharing of data, code, and methodologies to …
Google Scholar
Ethics and security in artificial intelligence and machine learning: Current perspectives in computing [61]
… The study in this research uses the literature method. The literature … artificial intelligence (AI) and machine learning (ML) brings with it various ethical issues that developers, researchers, …
Google Scholar
Bridging Social Gaps with Artificial Intelligence: Redefining the Role of Social Entrepreneurship [62]
Artificial Intelligence (AI) and Social Entrepreneurship is one combination of this type, and a complete shift in how societies address inequality, exclusion, and systemic inefficiencies. This study examines the…
Google Scholar
… , MD Nadil khan, Nahid Khan, & MD Mohaiminul Hasan.(2025). Big Data and Machine Learning in Healthcare: A Business Intelligence Approach for Cost … [63]
… research data provides technology providers with foundation to create scalable artificial intelligence … This research examines trends and patterns and detects the correlations between …
Google Scholar
Machine learning-driven breakthroughs in water electrolysis and supercapacitors [64]
Electrochemical energy conversion and storage have attracted widespread interest as green and sustainable technologies. In particular, research on water electrolysis and supercapacitors (SCs) has experienced significant…
Google Scholar
AI Breakthroughs: Theories and Concepts for Today [65]
The illustrations in this book are created by “Team Educohack”. AI Breakthroughs: Theories and Concepts for Today is designed to guide readers through the essential scientific and technological principles that make…
Google Scholar
AI-powered breakthroughs: Revolutionizing cognitive psychology and neuropsychology with machine learning [66]
This chapter examines how artificial intelligence (AI) is improving neuropsychological practice and how AI tools can be used to diagnose treat and rehabilitate cognitive disorders. …
Google Scholar
Catalyst breakthroughs in methane dry reforming: Employing machine learning for future advancements [67]
Rising levels of atmospheric carbon dioxide (CO 2 ) and methane (CH 4 ) have sparked the interest of researchers in resolving this issue. Various technologies have been utilized such …
Google Scholar
Advancements in Artificial Intelligence: Breakthroughs, Challenges and the Road Ahead [68]
… by technological breakthroughs and availability of funding. The spikes seen in 2013, 2016 and 2019 correspond with major technological breakthroughs in deep learning and neural …
Google Scholar
A systematic review of large language model (LLM) evaluations in clinical medicine [69]
Background Large Language Models (LLMs), advanced AI tools based on transformer architectures, demonstrate significant potential in clinical medicine by enhancing decision support, diagnostics, and medical education.…
Google Scholar
The TRIPOD-LLM reporting guideline for studies using large language models [70]
… Large language models (LLMs) are rapidly being adopted in … model for individual prognosis or diagnosis (TRIPOD)-LLM, … TRIPOD-LLM provides a comprehensive checklist of 19 main …
Google Scholar
Large language models (LLM) in computational social science: prospects, current state, and challenges [71]
… 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
The role of large language models in agriculture: harvesting the future with LLM intelligence [72]
Progress in Artificial Intelligence - Significant accomplishments in many agricultural applications during the past decade attest to the fast progress and use of deep learning and machine learning...
Google Scholar
Llm post-training: A deep dive into reasoning large language models [73]
Large Language Models (LLMs) have transformed the natural language processing landscape and brought to life diverse applications. Pretraining on vast web-scale data has laid the foundation for these models, yet the…
Google Scholar
The state of AI-driven cybersecurity: Trends, challenges, and opportunities [74]
… frameworks such as the EU AI Act and NIST's AI Risk Management Framework, … AI responsibly. Finally, we outline future directions including the rise of predictive cybersecurity, AI and …
Google Scholar
AI and Cybersecurity: Defending Data and Privacy in the Digital Age [75]
This research investigates the rapidly evolving relationship between Artificial Intelligence (AI) and cyber security, particularly how AI is impacting the cyber defense technologies. It seeks to examine the ambivalent…
Google Scholar
Artificial intelligence and machine learning in cybersecurity: a deep dive into state-of-the-art techniques and future paradigms [76]
… in adversarial AI, automated threat intelligence, and AI-driven security orchestration, this … AI’s role in cybersecurity. Figure 1 shows the key areas where Artificial intelligence (AI) and …
Google Scholar
Artificial intelligence (AI) cybersecurity dimensions: a comprehensive framework for understanding adversarial and offensive AI [77]
… holistic view on AI in cybersecurity: By achieving all of five research objectives above, we … on AI in cybersecurity, bridging the dominant technological dimension of AI in cybersecurity …
Google Scholar
Adversarial AI and cybersecurity: defending against AI-powered cyber threats [78]
… -AI. This research attempts to examine how adversarial AI threats evolve and their influences on cyber security and … The research classifies the adversarial AI threat into five main types: …
Google Scholar
Post-quantum cryptography: a review on cryptographic solutions for the era of quantum computing [79]
The emergence of Quantum Computing (QC) presents a substantial risk to conventional cryptography systems, many of which are vulnerable to Shor’s factoring algorithm and other effective quantum algorithms. Post-quantum…
Google Scholar
Securing the future: exploring post-quantum cryptography for authentication and user privacy in IoT devices [80]
Cluster Computing - With the emergence of quantum computers, traditional cryptographic methods are vulnerable to attacks, emphasizing the need for post-quantum cryptography to secure devices and...
Google Scholar
Towards 6G authentication and key agreement protocol: A survey on hybrid post quantum cryptography [81]
… impersonation, while Elliptic Curve Cryptography (ECC) and … AKA and explores hybrid post-quantum cryptography (PQC) as … A comparative analysis of hybrid cryptographic schemes …
Google Scholar
Post-quantum cryptography [82]
Cart (function () { var exports = {}; if (window.fetch) { "use strict"; Object.defineProperty(exports, "__esModule", { value: true }); exports.headerWidgetClientInit = void 0; var headerWidgetClientInit = function…
Google Scholar
A Review on the advances, applications, and future prospects of post-quantum cryptography in blockchain, IoT [83]
… of recent advancements in post-quantum cryptography (PQC), … this work is the proposed Hybrid Cryptographic Framework (HCF), … By aligning cryptographic design with international …
Google Scholar
Zero-Knowledge Proofs For Privacy-Preserving Systems: A Survey Across Blockchain, Identity, And Beyond [84]
… origin and development of zero-knowledge protocols in light of … is paid to such structures as zk-SNARKs, zk-STARKs, and … terms of efficient construction of proofs, standardizations, and …
Google Scholar
The power I know: Zero-knowledge proofs and their transformative role in the future of cryptography [85]
… Among zero-knowledge proof techniques, zk-SNARKs are perhaps the most commonly … ZeroKnowledge Proofs (ZKPs) have been proposed as a potential cryptographic solution to this …
Google Scholar
A Technology Review of Zero Knowledge Proof Techniques. [86]
… We propose a comprehensive evaluation framework and apply it to zk-SNARK, zk-STARK, and Bulletproof protocols, analyzing metrics such as scalability, efficiency, and …
Google Scholar
Zero-knowledge proof-based verifiable decentralized machine learning in communication network: A comprehensive survey [87]
… zero-knowledge proofs in ensuring verifiability, we present a comprehensive review of Zero-Knowledge Proof… succinct noninteractive argument of knowledge [36] (zk-SNARK) scheme is …
Google Scholar
Zero-knowledge proof-based consensus for blockchain-secured federated learning [88]
Federated learning (FL) enables multiple participants to collaboratively train machine learning models while ensuring their data remains private and secure. Blockchain technology further enhances FL by providing…
Google Scholar
Evolutionary algorithms and quantum computing: recent advances, opportunities, and challenges [89]
… section of quantum computing and evolutionary algorithms and … fields of quantum computing and evolutionary algorithms, en… will apply this algorithm to a quantum computer to address …
Google Scholar
Quantum machine learning: A comprehensive review of integrating AI with quantum computing for computational advancements [90]
… in quantum-enhanced classical ML to native quantum algorithms and hybrid quantum-… It varies from applications in optimization, drug discovery, and quantum-secured communications, …
Google Scholar
Quantum computing in artificial intelligence: A review of quantum machine learning algorithms [91]
Quantum Computing in Artificial Intelligence: a Review of Quantum Machine Learning Algorithms
Google Scholar
The impact of quantum computing on cryptographic systems: Urgency of quantum-resistant algorithms and practical applications in cryptography [92]
Quantum computing presents computational powers previously thought unattainable. This brings severe threats to classical cryptographic methods, especially RSA and ECC . This paper addresses these risks through a…
Google Scholar
Quantum-computing-enhanced algorithm unveils potential KRAS inhibitors [93]
… of quantum computing and drug discovery, marking a quantum … algorithm demonstrates how quantum computing can enhance classical computation, leading to more efficient algorithms…
Google Scholar
Blockchain smart contract security: Threats and mitigation strategies in a lifecycle perspective [94]
… of smart contract assurance, covering the primary security threats and mitigation strategies throughout the contract … security and trustworthiness of smart contracts, and discuss future …
Google Scholar
Energy trading using blockchain: Smart contracts functionalities–A systematic review [95]
… Technologies like blockchain and smart contracts offer significant potential for facilitating energy transactions within decentralized systems, mainly due to their capacity to facilitate …
Google Scholar
Machine learning methods for detecting smart contracts vulnerabilities within Ethereum blockchain− A review [96]
This paper presents a comprehensive exploration of the intersection between machine learning and smart contract vulnerabilities on the Ethereum blockchain. Introduced by Vitalik …
Google Scholar
When auditing Meets Blockchain: A study on applying blockchain smart contracts in auditing [97]
… of encoding into smart contracts specific auditing rules that … , smart contract development, and workflow procedures. Simulation results demonstrate that blockchain-based smart contract …
Google Scholar
The impact of blockchain‐enabled smart contracts on firms' operational efficiency [98]
… of blockchain technology has given rise to smart contracts, a … blockchain-based smart contract is a self-executing contract built on decentralized platforms and supported by a blockchain …
Google Scholar
From llm reasoning to autonomous ai agents: A comprehensive review [99]
Large language models and autonomous AI agents have evolved rapidly, resulting in a diverse array of evaluation benchmarks, frameworks, and collaboration protocols. Driven by the growing need for standardized evaluation…
Google Scholar
Transforming data annotation with ai agents: A review of architectures, reasoning, applications, and impact [100]
… of the role and capabilities of AI agents in annotation is still … agents support advanced reasoning strategies, adaptive learning, and collaborative annotation efforts. We analyze agent …
Google Scholar
The cost of dynamic reasoning: Demystifying ai agents and test-time scaling from an ai infrastructure perspective [101]
… agents, we highlight the profound computational demands introduced by AI agent workflows, … These results call for a paradigm shift in agent design toward compute-efficient reasoning, …
Google Scholar
TxAgent: an AI agent for therapeutic reasoning across a universe of tools [102]
Precision therapeutics require multimodal adaptive models that generate personalized treatment recommendations. We introduce TxAgent, an AI agent that leverages multi-step reasoning and real-time biomedical knowledge…
Google Scholar
Agentic AI: The age of reasoning—A review [103]
… Artificial intelligence has experienced a significant boom with the emergence of agentic AI, where autonomous agents … , comprehensive information on agentic AI remains scarce in the …
Google Scholar
AI Safety, Alignment, and Ethics (AI SAE) [104]
This paper grounds ethics in evolutionary biology, viewing moral norms as adaptive mechanisms that render cooperation fitness-viable under selection pressure. Current alignment approaches add ethics post hoc, treating…
Google Scholar
Aegis2. 0: A diverse ai safety dataset and risks taxonomy for alignment of llm guardrails [105]
Shaona Ghosh, Prasoon Varshney, Makesh Narsimhan Sreedhar, Aishwarya Padmakumar, Traian Rebedea, Jibin Rajan Varghese, Christopher Parisien. Proceedings of the 2025 Conference of the Nations of the Americas Chapter of…
Google Scholar
The landscape of AI alignment: A comprehensive review of theories and methods [106]
… AI alignment, aiming to provide a comprehensive understanding of its fundamental concepts, motivations, and the alignment … growing body of knowledge in AI safety, offering insights for …
Google Scholar
AI Alignment Strategies from a Risk Perspective: Independent Safety Mechanisms or Shared Failures? [107]
AI alignment research aims to develop techniques to ensure that AI systems do not cause harm. However, every alignment technique has failure modes, which are conditions in which there is a non-negligible chance that the…
Google Scholar
Helpful, harmless, honest? Sociotechnical limits of AI alignment and safety through Reinforcement Learning from Human Feedback: AD Lindström et al. [108]
This paper critically evaluates the attempts to align Artificial Intelligence (AI) systems, especially Large Language Models (LLMs), with human values and intentions through Reinforcement Learning from Feedback methods,…
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Horizontal Infrastructure for Building Computer Vision Applications [109]
Horizontal Infrastructure for Building Computer Vision Applications
Hacker News
Is AI Really gonna take our jobs? [110]
Is AI Really gonna take our jobs?
Hacker News

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  1. Large Language Models Generate Harmful Content Using a Distinct, Unified Mechani
  2. Case-Grounded Evidence Verification: A Framework for Constructing Evidence-Sensi
  3. Seeing is Believing: Robust Vision-Guided Cross-Modal Prompt Learning under Labe
  4. VisionFoundry: Teaching VLMs Visual Perception with Synthetic Images
  5. VL-Calibration: Decoupled Confidence Calibration for Large Vision-Language Model
  6. Envisioning the Future, One Step at a Time
  7. Semantic Rate-Distortion for Bounded Multi-Agent Communication: Capacity-Derived
  8. VISOR: Agentic Visual Retrieval-Augmented Generation via Iterative Search and Ov
  9. Strategic Algorithmic Monoculture:Experimental Evidence from Coordination Games
  10. BERT-as-a-Judge: A Robust Alternative to Lexical Methods for Efficient Reference
  11. ANTIC: Adaptive Neural Temporal In-situ Compressor
  12. Event-Driven Temporal Graph Networks for Asynchronous Multi-Agent Cyber Defense
  13. Toward World Models for Epidemiology
  14. Integrated electro-optic attention nonlinearities for transformers
  15. RecaLLM: Addressing the Lost-in-Thought Phenomenon with Explicit In-Context Retr
  16. XFED: Non-Collusive Model Poisoning Attack Against Byzantine-Robust Federated Cl
  17. Sim-to-Real Transfer for Muscle-Actuated Robots via Generalized Actuator Network
  18. Tango: Taming Visual Signals for Efficient Video Large Language Models
  19. Trans-RAG: Query-Centric Vector Transformation for Secure Cross-Organizational R
  20. The missing ultra-faint satellites of the Milky Way
  21. EgoTL: Egocentric Think-Aloud Chains for Long-Horizon Tasks
  22. BadSkill: Backdoor Attacks on Agent Skills via Model-in-Skill Poisoning
  23. ChatGPT, is this real? The influence of generative AI on writing style in top-ti
  24. Cross-Paradigm Models of Restricted Syndrome Decoding with Application to CROSS
  25. Unreal Thinking: Chain-of-Thought Hijacking via Two-stage Backdoor
  26. A Deductive System for Contract Satisfaction Proofs
  27. Hagenberg Risk Management Process (Part 3): Operationalization, Probabilities, a
  28. Quantum Uncertainty and Entropy
  29. QuIKS: Near-Zero Latency Key Supply with Adaptive Buffering for Resource-Efficie
  30. RansomTrack: A Hybrid Behavioral Analysis Framework for Ransomware Detection
  31. When LLMs Lag Behind: Knowledge Conflicts from Evolving APIs in Code Generation
  32. Harmonic Map Regression: Rate-Optimal Nonparametric Estimation on Manifolds with
  33. Black Hole Dynamics at Fifth Post-Newtonian Order
  34. $\mathrm{U}(2)$ Chern-Simons-Ginzburg-Landau Theory of Fractional Quantum Hall H
  35. A Physically-Informed Subgraph Isomorphism Approach to Molecular Docking Using Q
  36. Explicit Block Encoding of Difference-of-Gaussian Operators on a Periodic Grid
  37. The four-loop non-singlet splitting functions in QCD
  38. On Worst-Case Optimal Polynomial Intersection
  39. Machine Learning Phase Field Reconstruction in a Bose-Einstein Condensate
  40. Probing Electrostatic Disorder via g-Tensor Geometry
  41. From Reasoning to Agentic: Credit Assignment in Reinforcement Learning for Large
  42. AsymLoc: Towards Asymmetric Feature Matching for Efficient Visual Localization
  43. Many Ways to Be Fake: Benchmarking Fake News Detection Under Strategy-Driven AI
  44. ChatGPT Won't Let You Type Until Cloudflare Reads Your React State. I Decrypted
  45. AgentSwing: Adaptive Parallel Context Management Routing for Long-Horizon Web Ag
  46. ECHO: Efficient Chest X-ray Report Generation with One-step Block Diffusion
  47. Structured Causal Video Reasoning via Multi-Objective Alignment
  48. Cross-Modal Emotion Transfer for Emotion Editing in Talking Face Video
  49. WildDet3D: Scaling Promptable 3D Detection in the Wild
  50. FORGE:Fine-grained Multimodal Evaluation for Manufacturing Scenarios
  51. EXAONE 4.5 Technical Report
  52. Matrix-Game 3.0: Real-Time and Streaming Interactive World Model with Long-Horiz
  53. CT-1: Vision-Language-Camera Models Transfer Spatial Reasoning Knowledge to Came
  54. RefineAnything: Multimodal Region-Specific Refinement for Perfect Local Details
  55. ELT: Elastic Looped Transformers for Visual Generation
  1. The Master Key Hypothesis: Unlocking Cross-Model Capability Transfer via Linear
  2. Faithful GRPO: Improving Visual Spatial Reasoning in Multimodal Language Models
  3. ImplicitMemBench: Measuring Unconscious Behavioral Adaptation in Large Language
  4. Artificial intelligence index report 2025
  5. State of the art of artificial intelligence in clinical electrophysiology in 202
  6. Ethics and security in artificial intelligence and machine learning: Current per
  7. Bridging Social Gaps with Artificial Intelligence: Redefining the Role of Social
  8. … , MD Nadil khan, Nahid Khan, & MD Mohaiminul Hasan.(2025). Big Data and Machin
  9. Machine learning-driven breakthroughs in water electrolysis and supercapacitors
  10. AI Breakthroughs: Theories and Concepts for Today
  11. AI-powered breakthroughs: Revolutionizing cognitive psychology and neuropsycholo
  12. Catalyst breakthroughs in methane dry reforming: Employing machine learning for
  13. Advancements in Artificial Intelligence: Breakthroughs, Challenges and the Road
  14. A systematic review of large language model (LLM) evaluations in clinical medici
  15. The TRIPOD-LLM reporting guideline for studies using large language models
  16. Large language models (LLM) in computational social science: prospects, current
  17. The role of large language models in agriculture: harvesting the future with LLM
  18. Llm post-training: A deep dive into reasoning large language models
  19. The state of AI-driven cybersecurity: Trends, challenges, and opportunities
  20. AI and Cybersecurity: Defending Data and Privacy in the Digital Age
  21. Artificial intelligence and machine learning in cybersecurity: a deep dive into
  22. Artificial intelligence (AI) cybersecurity dimensions: a comprehensive framework
  23. Adversarial AI and cybersecurity: defending against AI-powered cyber threats
  24. Post-quantum cryptography: a review on cryptographic solutions for the era of qu
  25. Securing the future: exploring post-quantum cryptography for authentication and
  26. Towards 6G authentication and key agreement protocol: A survey on hybrid post qu
  27. Post-quantum cryptography
  28. A Review on the advances, applications, and future prospects of post-quantum cry
  29. Zero-Knowledge Proofs For Privacy-Preserving Systems: A Survey Across Blockchain
  30. The power I know: Zero-knowledge proofs and their transformative role in the fut
  31. A Technology Review of Zero Knowledge Proof Techniques.
  32. Zero-knowledge proof-based verifiable decentralized machine learning in communic
  33. Zero-knowledge proof-based consensus for blockchain-secured federated learning
  34. Evolutionary algorithms and quantum computing: recent advances, opportunities, a
  35. Quantum machine learning: A comprehensive review of integrating AI with quantum
  36. Quantum computing in artificial intelligence: A review of quantum machine learni
  37. The impact of quantum computing on cryptographic systems: Urgency of quantum-res
  38. Quantum-computing-enhanced algorithm unveils potential KRAS inhibitors
  39. Blockchain smart contract security: Threats and mitigation strategies in a lifec
  40. Energy trading using blockchain: Smart contracts functionalities–A systematic re
  41. Machine learning methods for detecting smart contracts vulnerabilities within Et
  42. When auditing Meets Blockchain: A study on applying blockchain smart contracts i
  43. The impact of blockchain‐enabled smart contracts on firms' operational efficienc
  44. From llm reasoning to autonomous ai agents: A comprehensive review
  45. Transforming data annotation with ai agents: A review of architectures, reasonin
  46. The cost of dynamic reasoning: Demystifying ai agents and test-time scaling from
  47. TxAgent: an AI agent for therapeutic reasoning across a universe of tools
  48. Agentic AI: The age of reasoning—A review
  49. AI Safety, Alignment, and Ethics (AI SAE)
  50. Aegis2. 0: A diverse ai safety dataset and risks taxonomy for alignment of llm g
  51. The landscape of AI alignment: A comprehensive review of theories and methods
  52. AI Alignment Strategies from a Risk Perspective: Independent Safety Mechanisms o
  53. Helpful, harmless, honest? Sociotechnical limits of AI alignment and safety thro
  54. Horizontal Infrastructure for Building Computer Vision Applications
  55. Is AI Really gonna take our jobs?
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