Carlos's Debrief

April 25, 2026 04:11
45ArXiv Papers
12Web Findings
57Total 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 25, 2026 04:11 — Curated by Hermes Research Scout

⚡ Quick Summary

📰 News Headlines

📄 ArXiv Papers

🧠 LLMs 9

Seeing Fast and Slow: Learning the Flow of Time in Videos [1]
Yen-Siang Wu, Rundong Luo, Jingsen Zhu, Tao Tu, Ali Farhadi, Matthew Wallingford, Wei-Chiu Ma
How can we tell whether a video has been sped up or slowed down? How can we generate videos at different speeds? Although videos have been central to modern computer vision research, little attention …
cs.CVcs.AIcs.GR
When Prompts Override Vision: Prompt-Induced Hallucinations in LVLMs [2]
Pegah Khayatan, Jayneel Parekh, Arnaud Dapogny, Mustafa Shukor, Alasdair Newson, Matthieu Cord
Despite impressive progress in capabilities of large vision-language models (LVLMs), these systems remain vulnerable to hallucinations, i.e., outputs that are not grounded in the visual input. Prior w…
cs.CVcs.AIcs.CLcs.LG
Nemobot Games: Crafting Strategic AI Gaming Agents for Interactive Learning with Large Language Models [3]
Chee Wei Tan, Yuchen Wang, Shangxin Guo
This paper introduces a new paradigm for AI game programming, leveraging large language models (LLMs) to extend and operationalize Claude Shannon's taxonomy of game-playing machines. Central to this p…
cs.AI
A Multi-Stage Warm-Start Deep Learning Framework for Unit Commitment [4]
Muhy Eddin Za'ter, Anna Van Boven, Bri-Mathias Hodge, Kyri Baker
Maintaining instantaneous balance between electricity supply and demand is critical for reliability and grid instability. System operators achieve this through solving the task of Unit Commitment (UC)…
eess.SYcs.AI
Addressing Image Authenticity When Cameras Use Generative AI [5]
Umar Masud, Abhijith Punnappurath, Luxi Zhao, David B. Lindell, Michael S. Brown
The ability of generative AI (GenAI) methods to photorealistically alter camera images has raised awareness about the authenticity of images shared online. Interestingly, images captured directly by o…
cs.CVcs.AI
Evaluation of Automatic Speech Recognition Using Generative Large Language Models [6]
Thibault Baneras-Roux, Shashi Kumar, Driss Khalil, Sergio Burdisso, Petr Motlicek, Shiran Liu, Mickael Rouvier, Jane Wottawa, Richard Dufour
Automatic Speech Recognition (ASR) is traditionally evaluated using Word Error Rate (WER), a metric that is insensitive to meaning. Embedding-based semantic metrics are better correlated with human pe…
cs.CL
Seeing Without Eyes: 4D Human-Scene Understanding from Wearable IMUs [7]
Hao-Yu Hsu, Tianhang Cheng, Jing Wen, Alexander G. Schwing, Shenlong Wang
Understanding human activities and their surrounding environments typically relies on visual perception, yet cameras pose persistent challenges in privacy, safety, energy efficiency, and scalability. …
cs.CV
Context Unrolling in Omni Models [8]
Ceyuan Yang, Zhijie Lin, Yang Zhao, Fei Xiao, Hao He, Qi Zhao, Chaorui Deng, Kunchang Li, Zihan Ding, Yuwei Guo, Fuyun Wang, Fangqi Zhu, Xiaonan Nie, Shenhan Zhu, Shanchuan Lin, Hongsheng Li, Weilin Huang, Guang Shi, Haoqi Fan
We present Omni, a unified multimodal model natively trained on diverse modalities, including text, images, videos, 3D geometry, and hidden representations. We find that such training enables Context …
cs.CV
Efficient Classical Simulation of Heuristic Peaked Quantum Circuits [9]
David Kremer, Nicolas Dupuis
Peaked quantum circuits, whose output distribution is sharply concentrated on a single bitstring, have emerged as a promising candidate for verifiable quantum advantage, as the correctness of the quan…
quant-ph

⚙️ Machine Learning 22

A Scale-Adaptive Framework for Joint Spatiotemporal Super-Resolution with Diffusion Models [10]
Max Defez, Filippo Quarenghi, Mathieu Vrac, Stephan Mandt, Tom Beucler
Deep-learning video super-resolution has progressed rapidly, but climate applications typically super-resolve (increase resolution) either space or time, and joint spatiotemporal models are often desi…
cs.LGcs.AI
GiVA: Gradient-Informed Bases for Vector-Based Adaptation [11]
Neeraj Gangwar, Rishabh Deshmukh, Michael Shavlovsky, Hancao Li, Vivek Mittal, Lexing Ying, Nickvash Kani
As model sizes continue to grow, parameter-efficient fine-tuning has emerged as a powerful alternative to full fine-tuning. While LoRA is widely adopted among these methods, recent research has explor…
cs.CLcs.AI
TingIS: Real-time Risk Event Discovery from Noisy Customer Incidents at Enterprise Scale [12]
Jun Wang, Ziyin Zhang, Rui Wang, Hang Yu, Peng Di, Rui Wang
Real-time detection and mitigation of technical anomalies are critical for large-scale cloud-native services, where even minutes of downtime can result in massive financial losses and diminished user …
cs.CLcs.AIcs.LG
A Multimodal Text- and Graph-Based Approach for Open-Domain Event Extraction from Documents [13]
Praval Sharma
Event extraction is essential for event understanding and analysis. It supports tasks such as document summarization and decision-making in emergency scenarios. However, existing event extraction appr…
cs.CLcs.AI
Temporal Taskification in Streaming Continual Learning: A Source of Evaluation Instability [14]
Nicolae Filat, Ahmed Hussain, Konstantinos Kalogiannis, Elena Burceanu
Streaming Continual Learning (CL) typically converts a continuous stream into a sequence of discrete tasks through temporal partitioning. We argue that this temporal taskification step is not a neutra…
cs.LG
Fine-Tuning Regimes Define Distinct Continual Learning Problems [15]
Paul-Tiberiu Iordache, Elena Burceanu
Continual learning (CL) studies how models acquire tasks sequentially while retaining previously learned knowledge. Despite substantial progress in benchmarking CL methods, comparative evaluations typ…
cs.LG
The Sample Complexity of Multicalibration [16]
Natalie Collina, Jiuyao Lu, Georgy Noarov, Aaron Roth
We study the minimax sample complexity of multicalibration in the batch setting. A learner observes n i.i.d. samples from an unknown distribution and must output a (possibly randomized) predictor whos…
cs.LGmath.STstat.ML
Low-Rank Adaptation Redux for Large Models [17]
Bingcong Li, Yilang Zhang, Georgios B. Giannakis
Low-rank adaptation (LoRA) has emerged as the de facto standard for parameter-efficient fine-tuning (PEFT) of foundation models, enabling the adaptation of billion-parameter networks with minimal comp…
cs.LGeess.SP
Revealing Geography-Driven Signals in Zone-Level Claim Frequency Models [18]
Sherly Alfonso-Sanchez, Cristian Bravo, Kristina G. Stankova
Geographic context is often consider relevant to motor insurance risk, yet public actuarial datasets provide limited location identifiers, constraining how this information can be incorporated and eva…
stat.MLcs.LGq-fin.RM
Locating acts of mechanistic reasoning in student team conversations [19]
Kaitlin Gili, Mainak Nistala, Kristen Wendell, Michael C. Hughes
STEM education researchers are often interested in identifying moments of students' mechanistic reasoning for deeper analysis, but have limited capacity to search through many team conversation transc…
physics.ed-phcs.LG
Replay-buffer engineering for noise-robust quantum circuit optimization [20]
Akash Kundu, Sebastian Feld
Deep reinforcement learning (RL) for quantum circuit optimization faces three fundamental bottlenecks: replay buffers that ignore the reliability of temporal-difference (TD) targets, curriculum-based …
quant-phcs.AIcs.ETcs.LG
Long-Horizon Manipulation via Trace-Conditioned VLA Planning [21]
Isabella Liu, An-Chieh Cheng, Rui Yan, Geng Chen, Ri-Zhao Qiu, Xueyan Zou, Sha Yi, Hongxu Yin, Xiaolong Wang, Sifei Liu
Long-horizon manipulation remains challenging for vision-language-action (VLA) policies: real tasks are multi-step, progress-dependent, and brittle to compounding execution errors. We present LoHo-Man…
cs.RO
Characterizing Streaming Decidability of CSPs via Non-Redundancy [22]
Amatya Sharma, Santhoshini Velusamy
We study the single-pass streaming complexity of deciding satisfiability of Constraint Satisfaction Problems (CSPs). A CSP is specified by a constraint language Gamma, that is, a finite set of k-ary r…
cs.DScs.CC
Leveraging SIMD for Accelerating Large-number Arithmetic [23]
Subhrajit Das, Abhishek Bichhawat, Yuvraj Patel
Large-number arithmetic, widely used in scientific computing and cryptography, has seen limited adoption of single instruction, multiple data (SIMD) parallelism on modern CPUs due to the inherent depe…
cs.DC
Systematizing Blockchain Research Themes and Design Patterns [24]
Chien-Chih Chen, Yitian Wang, Emma Nasseri, Yebo Feng, Lauren Weymouth
The rapid expansion of blockchain and digital asset ecosystems has intensified the challenge of translating academic research into deployable systems and regulatory frameworks. While advances in crypt…
cs.DC
Encrypted Visual Feedback Control Using RLWE-Based Cryptosystem [25]
Taichi Ikezaki, Kaoru Teranishi
This study proposes an encrypted visual feedback control algorithm for regulating a one-dimensional stage using Ring Learning With Errors (RLWE) encryption. The proposed algorithm performs both featur…
eess.SY
Privacy-Preserving Distributed Stochastic Optimization with Homomorphic Encryption [26]
Haoqiang Zhou, Chi Chen, Yongfeng Zhi, Huan Gao
Distributed stochastic optimization enables multi-agent collaboration in applications such as distributed learning and sensor networks, but also raises critical privacy concerns due to the involvement…
eess.SY
Subsystem-Resolved Spectral Theory for Quantum Many-Body Hamiltonians [27]
MD Nahidul Hasan Sabit
We study spectral properties of quantum many-body Hamiltonians through a subsystem-based framework. Given a Hamiltonian of the form H = sum_{X subseteq Lambda} Phi(X) acting on a tensor product Hilber…
quant-phmath.QA
Algorithmic Locality via Provable Convergence in Quantum Tensor Networks [28]
Siddhant Midha, Yifan F. Zhang, Daniel Malz, Dmitry A. Abanin, Sarang Gopalakrishnan
Belief propagation has recently emerged as a powerful framework for evaluating tensor networks in higher dimensions, combining computational efficiency with provable analytical guarantees. In this wor…
quant-phcond-mat.stat-mechmath-ph
Dual-use quantum hardware for quantum resource generation and energy storage [29]
Vaibhav Sharma, Yiming Wang, Shouvik Sur
Quantum resources such as entanglement form the backbone of quantum technologies and their efficient generation is a central objective of modern quantum platforms. Independently, quantum batteries hav…
quant-phcond-mat.quant-gas
The Dyson Minds 2025 Workshop: SETI around Black Holes [30]
Olivia Curtis, Van Hunter Adams, Daniel Angerhausen, Joseph Bates, Anamaria Berea, Steven J. Dick, Martin Elvis, Sunil P. Khatri, Richard Linares, Manushaqe Muco, S. Seager, Jason T. Wright
The Dyson Minds 2025 Workshop, held at the Center for Brains, Minds & Machines at MIT and organized by Penn State, MIT, and The Ultraintelligence Foundation, brought together researchers in astrophysi…
astro-ph.GA
Geometric Decoupling and the Color--Speed Mechanism in Multispeed Stochastic Klein--Gordon Systems [31]
Guangqian Zhao
We study a two-component fractional stochastic Klein--Gordon system on T^3 driven by independent space-time white noises. Our main result is the identification of a new color-speed separation principl…
math.PR

🔐 Security & Crypto 9

CrossCommitVuln-Bench: A Dataset of Multi-Commit Python Vulnerabilities Invisible to Per-Commit Static Analysis [32]
Arunabh Majumdar
We present CrossCommitVuln-Bench, a curated benchmark of 15 real-world Python vulnerabilities (CVEs) in which the exploitable condition was introduced across multiple commits - each individually benig…
cs.CRcs.SE
Transient Turn Injection: Exposing Stateless Multi-Turn Vulnerabilities in Large Language Models [33]
Naheed Rayhan, Sohely Jahan
Large language models (LLMs) are increasingly integrated into sensitive workflows, raising the stakes for adversarial robustness and safety. This paper introduces Transient Turn Injection(TTI), a new …
cs.CRcs.AI
Cross-Modal Phantom: Coordinated Camera-LiDAR Spoofing Against Multi-Sensor Fusion in Autonomous Vehicles [34]
Shahriar Rahman Khan, Raiful Hasan
Autonomous Vehicles (AVs) increasingly depend on Multi-Sensor Fusion (MSF) to combine complementary modalities such as cameras and LiDAR for robust perception. While this redundancy is intended to saf…
cs.CR
TraceScope: Interactive URL Triage via Decoupled Checklist Adjudication [35]
Haolin Zhang, William Reber, Yuxuan Zhang, Guofei Gu, Jeff Huang
Modern phishing campaigns increasingly evade snapshot-based URL classifiers using interaction gates (e.g., checkbox/slider challenges), delayed content rendering, and logo-less credential harvesters. …
cs.CRcs.AI
Black-Box Skill Stealing Attack from Proprietary LLM Agents [36]
Zihan Wang, Rui Zhang, Yu Liu, Chi Liu, Qingchuan Zhao, Hongwei Li, Guowen Xu
LLM agents increasingly rely on skills to encapsulate reusable capabilities via progressively disclosed instructions. High-quality skills inject expert knowledge into general-purpose models, improving…
cs.CR
Adversarial Robustness of Near-Field Millimeter-Wave Imaging under Waveform-Domain Attacks [37]
Lhamo Dorje, Jordan Madden, Soamar Homsi, Xiaohua Li
Near-field millimeter-wave (mmWave) imaging is widely deployed in safety-critical applications such as airport passenger screening, yet its own security remains largely unexplored. This paper presents…
cs.CR
Stealthy Backdoor Attacks against LLMs Based on Natural Style Triggers [38]
Jiali Wei, Ming Fan, Guoheng Sun, Xicheng Zhang, Haijun Wang, Ting Liu
The growing application of large language models (LLMs) in safety-critical domains has raised urgent concerns about their security. Many recent studies have demonstrated the feasibility of backdoor at…
cs.CRcs.AIcs.CL
A Sociotechnical, Practitioner-Centered Approach to Technology Adoption in Cybersecurity Operations [39]
Francis Hahn, Mohd Mamoon, Alexandru G. Bardas, Michael Collins, Daniel Lende, Xinming Ou, S. Raj Rajagopalan
Technology for security operations centers (SOCs) has a storied history of slow adoption due to concerns about trust and reliability. These concerns are amplified with artificial intelligence, particu…
cs.CR
A Stackelberg Model for Hybridization in Cryptography [40]
Willie Kouam, Stefan Rass, Zahra Seyedi, Shahzad Ahmad, Eckhard Pfluegel
Similar to a strategic interaction between rational and intelligent agents, cryptography problems can be examined through the prism of game theory. In this setting, the agent aiming to protect a messa…
cs.CR

🛡️ AI Safety 2

UniGenDet: A Unified Generative-Discriminative Framework for Co-Evolutionary Image Generation and Generated Image Detection [41]
Yanran Zhang, Wenzhao Zheng, Yifei Li, Bingyao Yu, Yu Zheng, Lei Chen, Jiwen Lu, Jie Zhou
In recent years, significant progress has been made in both image generation and generated image detection. Despite their rapid, yet largely independent, development, these two fields have evolved dis…
cs.CV
Mapping the Political Discourse in the Brazilian Chamber of Deputies [42]
Flavio Soriano, Victoria F. Mello, Pedro B. Rigueira, Gisele L. Pappa, Wagner Meira, Ana Paula Couto da Silva, Jussara M. Almeida
Analyses of legislative behavior often rely on voting records, overlooking the rich semantic and rhetorical content of political speech. In this paper, we ask three complementary questions about parli…
cs.CLcs.CY

🤖 Agents 2

From Research Question to Scientific Workflow: Leveraging Agentic AI for Science Automation [43]
Bartosz Balis, Michal Orzechowski, Piotr Kica, Michal Dygas, Michal Kuszewski
Scientific workflow systems automate execution -- scheduling, fault tolerance, resource management -- but not the semantic translation that precedes it. Scientists still manually convert research ques…
cs.AI
First measurement of wind line formation regions in an early O-type star [44]
D. Pauli, T. N. Parsons, R. K. Prinja
Massive stars with their strong ionizing radiation and strong stellar winds are the key feedback agents of the universe. Stellar winds of massive stars are often measured by fitting resonance lines in…
astro-ph.SR

🌐 Web Findings

🎯 Lobste.rs 1

ChatGPT Won't Let You Type Until Cloudflare Reads Your React State [45]
A technical deep-dive demonstrating that Cloudflare's Gatekeeper CAPTCHA system actively reads React component state before allowing user input in ChatGPT, exposing how privacy-invading telemetry is w…
LOBSTERS

🤗 HuggingFace 2

EditCrafter: Tuning-free High-Resolution Image Editing via Pretrained Diffusion Model [46]
EditCrafter achieves high-resolution image editing at arbitrary aspect ratios without fine-tuning by using tiled inversion to preserve identity and a novel noise-damped manifold-constrained classifier…
HUGGINGFACE_PAPERS
Abstain-R1: Calibrated Abstention and Post-Refusal Clarification via Verifiable RL [47]
Abstain-R1, a 3B model trained with clarification-aware reinforcement learning, learns to abstain from unanswerable queries and explain exactly what information is missing, achieving behavior competit…
HUGGINGFACE_PAPERS

🎓 Google Scholar 6

Early identification of breakthrough technologies: Insights from science-driven innovations [48]
A framework using machine learning-based link prediction to identify science-driven technological breakthroughs before they reach mainstream adoption, offering a new method for foresight and innovatio…
GOOGLE_SCHOLAR
Catalyst breakthroughs in methane dry reforming: Employing machine learning for future advancements [49]
Machine learning is applied to accelerate catalyst discovery for methane dry reforming, a process that converts CO2 and methane into synthesis gas, offering a route to reducing greenhouse gas emission…
GOOGLE_SCHOLAR
Large language models (LLM) in computational social science: prospects, current state, and challenges [50]
A comprehensive review of how LLMs are being integrated into computational social science, covering their use for text analysis, opinion mining, and social simulation, alongside the challenges of data…
GOOGLE_SCHOLAR
Artificial intelligence and machine learning in cybersecurity: a deep dive into state-of-the-art techniques and future paradigms [51]
A systematic review of AI/ML techniques in cybersecurity covering adversarial ML, automated threat intelligence, AI-driven security orchestration, and emerging paradigms for defending against AI-gener…
GOOGLE_SCHOLAR
Securing the future: exploring post-quantum cryptography for authentication and user privacy in IoT devices [52]
An overview of post-quantum cryptographic approaches for securing IoT devices against quantum computer attacks, reviewing lattice-based, hash-based, and code-based schemes and their suitability for re…
GOOGLE_SCHOLAR
Quantum machine learning: A comprehensive review of integrating AI with quantum computing [53]
A review covering the spectrum from quantum-enhanced classical ML to native quantum algorithms, examining applications in optimization, drug discovery, and quantum-secured communications, with outlook…
GOOGLE_SCHOLAR

💬 Hacker News 3

LLMs consume 5.4x less mobile energy than ad-supported web search [54]
A new thermodynamic analysis finds that serving LLM responses per query is 5.4x more energy-efficient per task completion than the ad-supported web search stack, challenging assumptions about AI's ene…
HACKERNEWS
Thermodynamic Efficiency Inversion [55]
By measuring full user-session energy instead of per-query server costs, this work demonstrates that generative AI inverts the conventional efficiency picture: ad-supported web's tracking and personal…
HACKERNEWS
Built on Randomness: Why Your Optimizer's Least Important Component [56]
Training the same model twice with different random seeds produces models with identical accuracy but 10% disagreement on individual test examples, revealing that neural networks occupy distinct geome…
HACKERNEWS

🔗 All Sources

  1. [1] Seeing Fast and Slow: Learning the Flow of Time in Videos
  2. [2] When Prompts Override Vision: Prompt-Induced Hallucinations in LVLMs
  3. [3] From Research Question to Scientific Workflow: Leveraging Agentic AI for Science Automation
  4. [4] A Scale-Adaptive Framework for Joint Spatiotemporal Super-Resolution with Diffusion Models
  5. [5] GiVA: Gradient-Informed Bases for Vector-Based Adaptation
  6. [6] Nemobot Games: Crafting Strategic AI Gaming Agents for Interactive Learning with Large Language Models
  7. [7] A Multi-Stage Warm-Start Deep Learning Framework for Unit Commitment
  8. [8] TingIS: Real-time Risk Event Discovery from Noisy Customer Incidents at Enterprise Scale
  9. [9] A Multimodal Text- and Graph-Based Approach for Open-Domain Event Extraction from Documents
  10. [10] Addressing Image Authenticity When Cameras Use Generative AI
  11. [11] Temporal Taskification in Streaming Continual Learning: A Source of Evaluation Instability
  12. [12] Fine-Tuning Regimes Define Distinct Continual Learning Problems
  13. [13] The Sample Complexity of Multicalibration
  14. [14] Low-Rank Adaptation Redux for Large Models
  15. [15] Revealing Geography-Driven Signals in Zone-Level Claim Frequency Models
  16. [16] Locating acts of mechanistic reasoning in student team conversations
  17. [17] Replay-buffer engineering for noise-robust quantum circuit optimization
  18. [18] Evaluation of Automatic Speech Recognition Using Generative Large Language Models
  19. [19] Seeing Without Eyes: 4D Human-Scene Understanding from Wearable IMUs
  20. [20] Long-Horizon Manipulation via Trace-Conditioned VLA Planning
  21. [21] Characterizing Streaming Decidability of CSPs via Non-Redundancy
  22. [22] Context Unrolling in Omni Models
  23. [23] CrossCommitVuln-Bench: A Dataset of Multi-Commit Python Vulnerabilities Invisible to Per-Commit Static Analysis
  24. [24] Transient Turn Injection: Exposing Stateless Multi-Turn Vulnerabilities in Large Language Models
  25. [25] Cross-Modal Phantom: Coordinated Camera-LiDAR Spoofing Against Multi-Sensor Fusion in Autonomous Vehicles
  26. [26] TraceScope: Interactive URL Triage via Decoupled Checklist Adjudication
  27. [27] Black-Box Skill Stealing Attack from Proprietary LLM Agents
  28. [28] Adversarial Robustness of Near-Field Millimeter-Wave Imaging under Waveform-Domain Attacks
  1. [29] Stealthy Backdoor Attacks against LLMs Based on Natural Style Triggers
  2. [30] A Sociotechnical, Practitioner-Centered Approach to Technology Adoption in Cybersecurity Operations
  3. [31] Leveraging SIMD for Accelerating Large-number Arithmetic
  4. [32] Systematizing Blockchain Research Themes and Design Patterns
  5. [33] A Stackelberg Model for Hybridization in Cryptography
  6. [34] Encrypted Visual Feedback Control Using RLWE-Based Cryptosystem
  7. [35] Privacy-Preserving Distributed Stochastic Optimization with Homomorphic Encryption
  8. [36] A structure-preserving semi-implicit finite volume scheme on vertex-staggered unstructured meshes
  9. [37] Subsystem-Resolved Spectral Theory for Quantum Many-Body Hamiltonians
  10. [38] Algorithmic Locality via Provable Convergence in Quantum Tensor Networks
  11. [39] Dual-use quantum hardware for quantum resource generation and energy storage
  12. [40] Efficient Classical Simulation of Heuristic Peaked Quantum Circuits
  13. [41] The Dyson Minds 2025 Workshop: SETI around Black Holes
  14. [42] Geometric Decoupling and the Color--Speed Mechanism in Multispeed Stochastic Klein--Gordon Systems
  15. [43] First measurement of wind line formation regions in an early O-type star
  16. [44] UniGenDet: A Unified Generative-Discriminative Framework for Co-Evolutionary Image Generation and Generated Image Detection
  17. [45] Mapping the Political Discourse in the Brazilian Chamber of Deputies
  18. [46] ChatGPT Won't Let You Type Until Cloudflare Reads Your React State
  19. [47] EditCrafter: Tuning-free High-Resolution Image Editing via Pretrained Diffusion Model
  20. [48] Abstain-R1: Calibrated Abstention and Post-Refusal Clarification via Verifiable RL
  21. [49] Early identification of breakthrough technologies: Insights from science-driven innovations
  22. [50] Catalyst breakthroughs in methane dry reforming: Employing machine learning for future advancements
  23. [51] Large language models (LLM) in computational social science: prospects, current state, and challenges
  24. [52] Artificial intelligence and machine learning in cybersecurity: a deep dive into state-of-the-art techniques and future paradigms
  25. [53] Securing the future: exploring post-quantum cryptography for authentication and user privacy in IoT devices
  26. [54] Quantum machine learning: A comprehensive review of integrating AI with quantum computing
  27. [55] LLMs consume 5.4x less mobile energy than ad-supported web search
  28. [56] Thermodynamic Efficiency Inversion
  29. [57] Built on Randomness: Why Your Optimizer's Least Important Component
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