Carlos's Debrief

May 30, 2026 04:00
39ArXiv Papers
9Web Findings
48Total 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
May 30, 2026 04:00 — Curated by Hermes Research Scout

⚡ Quick Summary

📰 News Headlines

📄 ArXiv Papers

🧠 LLMs 5

LLMSurgeon: Diagnosing Data Mixture of Large Language Models [1]
Yaxin Luo, Jiacheng Cui, Xiaohan Zhao, Xinyi Shang, Jiacheng Liu, Xinyue Bi, Zhaoyi Li, Zhiqiang Shen
This item reviews llmsurgeon: diagnosing data mixture of large language models and its broader implications for machine learning progress. It matters because AI methods are increasingly spilling into adjacent scientific and industrial domains. …
cs.CL, cs.AI, cs.LG
SchGen: PCB Schematic Generation with Semantic-Grounded Code Representations [2]
Qinpei Luo, Ruichun Ma, Xinyu Zhang, Lili Qiu
This item reviews schgen: pcb schematic generation with semantic-grounded code representations and its broader implications for machine learning progress …
cs.AI, cs.CL, cs.LG
Demystifying Data Organization for Enhanced LLM Training [3]
Yalun Dai, Yangyu Huang, Tongshen Yang, Yonghan Wang, Xin Zhang, Wenshan Wu, Qihao Zhao, Hao Li, Yuanyuan Gao, Kim-Hui Yap, Scarlett Li
This item reviews demystifying data organization for enhanced llm training and its broader implications for machine learning progress. It matters because AI methods are increasingly spilling into adjacent scientific and industrial domains. …
cs.AI, cs.CL
Efficient Test-Time Finetuning of LLMs via Convex Reconstruction and Gradient Caching [4]
Alaa Khamis, Alaa Maalouf
This item reviews efficient test-time finetuning of llms via convex reconstruction and gradient caching and its broader implications for machine learning progress …
cs.LG
On Language Generation in the Limit with Bounded Memory [5]
Jon Kleinberg, Anay Mehrotra, Amin Saberi, Grigoris Velegkas
This item reviews on language generation in the limit with bounded memory and its broader implications for machine learning progress. It matters because AI methods are increasingly spilling into adjacent scientific and industrial domains. …
cs.DS, cs.AI, cs.CL, cs.LG, stat.ML

🎨 Machine Learning 18

Physics Is All You Need? A Case Study in Physicist-Supervised AI Development of Scientific Software [6]
Nhat-Minh Nguyen
This item reviews physics is all you need? a case study in physicist-supervised ai development of scientific software and its broader implications for machine learning progress …
cs.AI, astro-ph.CO, cs.HC, cs.SE
VideoMLA: Low-Rank Latent KV Cache for Minute-Scale Autoregressive Video Diffusion [7]
Hidir Yesiltepe, Jiazhen Hu, Tuna Han Salih Meral, Adil Kaan Akan, Kaan Oktay, Hoda Eldardiry, Pinar Yanardag
This item reviews videomla: low-rank latent kv cache for minute-scale autoregressive video diffusion and its broader implications for machine learning progress …
cs.CV, cs.AI
GPIC: A Giant Permissive Image Corpus for Visual Generation [8]
Keshigeyan Chandrasegaran, Kyle Sargent, Suchir Agarwal, Michael Jang, Michael Poli, Juan Carlos Niebles, Justin Johnson, Jiajun Wu, Li Fei-Fei
This item reviews gpic: a giant permissive image corpus for visual generation and its broader implications for machine learning progress. It matters because AI methods are increasingly spilling into adjacent scientific and industrial domains. …
cs.CV, cs.AI
DynaFLIP: Rethinking Robotics Perception via Tri-Modal-Dynamics Guided Representation [9]
Jusuk Lee, Seungjae Lee, Jonghun Shin, Hoseong Jung, Sungha Kim, Daesol Cho, H. Jin Kim, Jia-Bin Huang, Furong Huang
This item reviews dynaflip: rethinking robotics perception via tri-modal-dynamics guided representation and its broader implications for machine learning progress …
cs.RO, cs.LG
Fairness-Aware Federated Learning with Trajectory Shapley Value [10]
Daniel Kuznetsov, Ziqi Wang
This item reviews fairness-aware federated learning with trajectory shapley value and its broader implications for machine learning progress. It matters because AI methods are increasingly spilling into adjacent scientific and industrial domains. …
cs.LG
When, why, and how do diffusion posterior samplers fail? A finite-sample lens [11]
Benjamin A. Burns, Sara Fridovich-Keil
This item reviews when, why, and how do diffusion posterior samplers fail? a finite-sample lens and its broader implications for machine learning progress …
cs.LG
SoundnessBench: Can Your AI Scientist Really Tell Good Research Ideas from Bad Ones? [12]
Sy-Tuyen Ho, Minghui Liu, Huy Nghiem, Furong Huang
This item reviews soundnessbench: can your ai scientist really tell good research ideas from bad ones? and its broader implications for machine learning progress …
cs.LG
In-Context Reward Adaptation for Robust Preference Modeling [13]
Zhenyu Sun, Zheng Xu, Ermin Wei
This item reviews in-context reward adaptation for robust preference modeling and its broader implications for machine learning progress. It matters because AI methods are increasingly spilling into adjacent scientific and industrial domains. …
cs.LG, cs.AI
AdaState: Self-Evolving Anchors for Streaming Video Generation [14]
Yusuf Dalva, Pinar Yanardag
This item centers on adastate: self-evolving anchors for streaming video generation and highlights an emerging direction in technical research …
cs.CV
NeuROK: Generative 4D Neural Object Kinematics [15]
Chen Geng, Guangzhao He, Yue Gao, Yunzhi Zhang, Shangzhe Wu, Jiajun Wu
This item centers on neurok: generative 4d neural object kinematics and highlights an emerging direction in technical research. It matters because the surrounding ecosystem is shifting from isolated demonstrations toward deployable systems and real- …
cs.CV, cs.GR
YoCausal: How Far is Video Generation from World Model? A Causality Perspective [16]
You-Zhe Xie, Yu-Hsuan Li, Jie-Ying Lee, Kaipeng Zhang, Yu-Lun Liu, Zhixiang Wang
This item centers on yocausal: how far is video generation from world model? a causality perspective and highlights an emerging direction in technical research …
cs.CV
Differential graded Hopf algebra structure on free symmetric cosimplicial operads [17]
Calvin Tcheka, Batkam Mbatchou V. Jacky, Guy R. Biyogmam
This item focuses on differential graded hopf algebra structure on free symmetric cosimplicial operads within the security and cryptography landscape …
math.RA, math.AT
Improved Guarantees for Heterogeneous Treatment-Effect Estimation via Matrix Completion [18]
Anay Mehrotra, Phuc Tran, Van H. Vu, Manolis Zampetakis
This item centers on improved guarantees for heterogeneous treatment-effect estimation via matrix completion and highlights an emerging direction in technical research …
stat.ML, cs.AI, cs.DS, cs.LG, math.ST
Visualizing orbital magnetism in electron doped rhombohedral multilayer graphene [19]
Owen I. Sheekey, Trevor B. Arp, Benjamin A. Foutty, Ruoxi Zhang, Tixuan Tan, Ludwig F. W. Holleis, Yi Guo, Sandesh S. Kalantre, Canxun Zhang, Mark Zakharyan, David Gong, Aidan Keough, Youngjoon Choi, Ysun Choi, Siyuan Xu, Tian Xie, Ben Hodder Alexander, Marisa Hocking, Qingrui Cao, Martin E. Huber, Takashi Taniguchi, Kenji Watanabe, Chenhao Jin, Etienne Lantagne-Hurtubise, Aaron Sharpe, Trithep Devakul, Andrea F. Young
This item centers on visualizing orbital magnetism in electron doped rhombohedral multilayer graphene and highlights an emerging direction in technical research …
cond-mat.mes-hall, cond-mat.supr-con
Quiver Approach to Symmetry Theories [20]
Vivek Chakrabhavi, Mirjam Cvetič, Jonathan J. Heckman, Shani Meynet
This item surveys quiver approach to symmetry theories through the lens of quantum computing. It matters because the field is moving from abstract promise toward strategy, infrastructure, and deployment questions. …
hep-th
GMOS: Grounding Moving Object Segmentation in 3D Space and Time [21]
Junyu Xie, Tengda Han, Weidi Xie, Andrew Zisserman
This item surveys gmos: grounding moving object segmentation in 3d space and time through the lens of quantum computing. It matters because the field is moving from abstract promise toward strategy, infrastructure, and deployment questions. …
cs.CV
mcp-proto-okn: Natural-language access to open scientific knowledge graphs through the Model Context Protocol [22]
Peter W. Rose, Benjamin M. Good, Amanda M. Saravia-Butler, Charlotte A. Nelson, James P. Balhoff, Yaphet Kebede, Patricia L. Whetzel, Christopher Bizon, Andrew I. Su, Sergio E. Baranzini
This item centers on mcp-proto-okn: natural-language access to open scientific knowledge graphs through the model context protocol and highlights an emerging direction in technical research …
cs.AI, cs.ET
Benchmarking Single-Factor Physical Video-to-Audio Generation [23]
Tingle Li, Siddharth Gururani, Kevin J. Shih, Gantavya Bhatt, Sang-gil Lee, Zhifeng Kong, Arushi Goel, Gopala Anumanchipalli, Ming-Yu Liu
This item centers on benchmarking single-factor physical video-to-audio generation and highlights an emerging direction in technical research …
cs.CV, cs.MM, cs.SD, eess.AS

🔐 Security & Crypto 10

DP-SAPF: Saliency-Aware Parameter Fine-tuning of Public Models for Differentially Private Image Synthesis [24]
Chen Gong, Kecen Li, Zinan Lin, Tianhao Wang
This item focuses on dp-sapf: saliency-aware parameter fine-tuning of public models for differentially private image synthesis within the security and cryptography landscape …
cs.CR
bpK#: Delegatable Pseudonyms And Their Applications to National eID Systems [25]
Stephan Krenn, Doryan Lesaignoux, Sebastian Ramacher
This item focuses on bpk#: delegatable pseudonyms and their applications to national eid systems within the security and cryptography landscape …
cs.CR
A Bayesian Approach to Membership Inference for Statistical Release [26]
Lisa Oakley, Sam Stites, Cameron Moy, Steven Holtzen, Alina Oprea, Marco Gaboardi
This item focuses on a bayesian approach to membership inference for statistical release within the security and cryptography landscape. It matters because defensive practice is being reshaped by both AI-native tooling and the coming post-quantum tr …
cs.CR, cs.PL
Token-Level Generalization in LoRA Adapter Backdoors: Attack Characterization and Behavioral Detection [27]
Travis Lelle
This item focuses on token-level generalization in lora adapter backdoors: attack characterization and behavioral detection within the security and cryptography landscape …
cs.CR, cs.AI, cs.CL, cs.LG
BioRefusalAudit: Auditing Biosecurity Refusal Depth Using General and Domain-Fine-Tuned Sparse Autoencoders [28]
Caleb DeLeeuw
This item focuses on biorefusalaudit: auditing biosecurity refusal depth using general and domain-fine-tuned sparse autoencoders within the security and cryptography landscape …
cs.AI, cs.CR, cs.LG
Privacy-Enhanced Zero-Order Federated Learning via xMK-CKKS over Wireless Channels [29]
Anthony Ayli, Khalil Harris, Jihad Fahs, Mohamad Assaad
This item focuses on privacy-enhanced zero-order federated learning via xmk-ckks over wireless channels within the security and cryptography landscape …
cs.CR, cs.LG
How Reliable Are AI Attackers Against a Fixed Vulnerable Target? A 400-Run Empirical Study of LLM Penetration Testing Consistency [30]
Galip Tolga Erdem
This item focuses on how reliable are ai attackers against a fixed vulnerable target? a 400-run empirical study of llm penetration testing consistency within the security and cryptography landscape …
cs.CR, cs.AI
Token Inflation: How Dishonest Providers Can Overcharge for Large Language Model Usage [31]
Shahinul Hoque, Jinghuai Zhang, Jinyuan Sun, Fnu Suya
This item focuses on token inflation: how dishonest providers can overcharge for large language model usage within the security and cryptography landscape …
cs.CR, cs.AI, cs.CL
Control Flow Graph Recovery for Dynamically Loaded Code via Symbolic Library Resolution [32]
Oleksandr Mostovyi
This item focuses on control flow graph recovery for dynamically loaded code via symbolic library resolution within the security and cryptography landscape …
cs.CR, cs.SE
Protecting On-Device AI Inference: A Systematic Review of Attacks and Defence Mechanisms [33]
Zisis Tsiatsikas, Alexandros Fakis, Georgios Karopoulos, Vasileios Kouliaridis, Marios Anagnostopoulos
This item focuses on protecting on-device ai inference: a systematic review of attacks and defence mechanisms within the security and cryptography landscape …
cs.CR

🕵️ Zero Knowledge 0

No new papers this cycle.

⚛️ Quantum 1

Chain rules for conditional entropies in quantum cryptography: limitations and improvements [34]
Lewis Wooltorton, Peter Brown, Omar Fawzi
This item focuses on chain rules for conditional entropies in quantum cryptography: limitations and improvements within the security and cryptography landscape …
quant-ph

🛡️ AI Safety 1

Gram: Assessing sabotage propensities via automated alignment auditing [35]
David Lindner, Victoria Krakovna, Sebastian Farquhar
This item centers on gram: assessing sabotage propensities via automated alignment auditing and highlights an emerging direction in technical research …
cs.LG, cs.AI

🤖 Agents 4

Tiny but Trusted: Efficient Vision-Language Reasoning for Time-Series Anomaly Detection [36]
Xiaona Zhou, Muntasir Wahed, Tianjiao Yu, Constantin Brif, Ismini Lourentzou
This item reviews tiny but trusted: efficient vision-language reasoning for time-series anomaly detection and its broader implications for machine learning progress …
cs.AI
Unlocking the Working Memory of Large Language Models for Latent Reasoning [37]
Lukas Aichberger, Sepp Hochreiter
This item reviews unlocking the working memory of large language models for latent reasoning and its broader implications for machine learning progress …
cs.CL, cs.AI
Locally Coherent, Globally Incoherent: Bounding Compositional Incoherence in Multi-Component LLM Agents [38]
Anany Kotawala
This item reviews locally coherent, globally incoherent: bounding compositional incoherence in multi-component llm agents and its broader implications for machine learning progress …
cs.AI, cs.CL
Reasoning with Sampling: Cutting at Decision Points [39]
Felix Zhou, Anay Mehrotra, Quanquan C. Liu
This item reviews reasoning with sampling: cutting at decision points and its broader implications for machine learning progress. It matters because AI methods are increasingly spilling into adjacent scientific and industrial domains. …
cs.LG, cs.AI, cs.CL, math.ST, stat.ML

🌐 Web Findings

🦞 Lobste.rs 2

ChatGPT Won't Let You Type Until Cloudflare Reads Your React State. I Decrypted the Program That Does It [40]
Lobste.rs • privacy • 2026-03-30
This reverse-engineering post argues that ChatGPT's web client gates text entry behind Cloudflare code that inspects client-side React state before input is enabled …
Lobste.rsprivacy2026-03-30
The Critical State of Cyberspacs [41]
Lobste.rs • science • 2026-05-30
NATO is currently in a ‘grey zone’: increasingly being challenged in cyberspace while unable to attribute attacks, thus failing to deter. Simultaneously, many governments, businesses …
Lobste.rsscience2026-05-30

🎓 Google Scholar 6

Catalyst breakthroughs in methane dry reforming: Employing machine learning for future advancements [42]
Google Scholar • machine learning breakthroughs
This review surveys how machine learning is being used to accelerate catalyst discovery and optimization for methane dry reforming. It matters because AI methods are increasingly flowing into energy and climate-relevant materials research …
Google Scholarmachine learning breakthroughs
Advancements in Artificial Intelligence: Breakthroughs, Challenges and the Road Ahead [43]
Google Scholar • machine learning breakthroughs
This paper conducts systematic analysis of advancements in the field of artificial intelligence (AI) from the year 2010 onwards, by performing original quantitative analysis of Epoch AI notable AI models dataset and combining with availabl …
Google Scholarmachine learning breakthroughs
Large language models (LLM) in computational social science: prospects, current state, and challenges [44]
Google Scholar • large language models LLM
This item centers on large language models (llm) in computational social science: prospects, current state, and challenges and highlights an emerging direction in technical research …
Google Scholarlarge language models LLM
Artificial intelligence and machine learning in cybersecurity: a deep dive into state-of-the-art techniques and future paradigms [45]
Google Scholar • AI security cybersecurity
This review synthesizes current uses of AI and machine learning across cybersecurity, including adversarial AI, automated threat intelligence, and AI-driven security orchestration …
Google ScholarAI security cybersecurity
Securing the future: exploring post-quantum cryptography for authentication and user privacy in IoT devices [46]
Google Scholar • cryptography post-quantum
This paper reviews post-quantum approaches for authentication and privacy in long-lived IoT systems that may still be deployed when quantum attacks become practical. It matters because connected devices are slow to replace …
Google Scholarcryptography post-quantum
Quantum machine learning: A comprehensive review of integrating AI with quantum computing for computational advancements [47]
Google Scholar • quantum computing algorithms
This review surveys hybrid and native quantum machine-learning approaches across optimization, science, and secure communications while separating mature ideas from speculative ones …
Google Scholarquantum computing algorithms

🧑‍💻 Hacker News 0

No new findings this cycle.

🤗 HuggingFace 1

minWM: A Full-Stack Open-Source Framework for Real-Time Interactive Video World Models [48]
Min Zhao, Hongzhou Zhu, Bokai Yan, Zihan Zhou, Yimin Chen
Recent video diffusion foundation models have achieved remarkable progress in high-quality video generation, yet turning them into real-time interactive video world models remains challenging …
HuggingFacedaily curated papers2026-05-28

🔗 All Sources

  1. LLMSurgeon: Diagnosing Data Mixture of Large Language Models
  2. SchGen: PCB Schematic Generation with Semantic-Grounded Code Representations
  3. Demystifying Data Organization for Enhanced LLM Training
  4. Efficient Test-Time Finetuning of LLMs via Convex Reconstruction and Gradient Caching
  5. On Language Generation in the Limit with Bounded Memory
  6. Physics Is All You Need? A Case Study in Physicist-Supervised AI Development of Scientific Software
  7. VideoMLA: Low-Rank Latent KV Cache for Minute-Scale Autoregressive Video Diffusion
  8. GPIC: A Giant Permissive Image Corpus for Visual Generation
  9. DynaFLIP: Rethinking Robotics Perception via Tri-Modal-Dynamics Guided Representation
  10. Fairness-Aware Federated Learning with Trajectory Shapley Value
  11. When, why, and how do diffusion posterior samplers fail? A finite-sample lens
  12. SoundnessBench: Can Your AI Scientist Really Tell Good Research Ideas from Bad Ones?
  13. In-Context Reward Adaptation for Robust Preference Modeling
  14. AdaState: Self-Evolving Anchors for Streaming Video Generation
  15. NeuROK: Generative 4D Neural Object Kinematics
  16. YoCausal: How Far is Video Generation from World Model? A Causality Perspective
  17. Differential graded Hopf algebra structure on free symmetric cosimplicial operads
  18. Improved Guarantees for Heterogeneous Treatment-Effect Estimation via Matrix Completion
  19. Visualizing orbital magnetism in electron doped rhombohedral multilayer graphene
  20. Quiver Approach to Symmetry Theories
  21. GMOS: Grounding Moving Object Segmentation in 3D Space and Time
  22. mcp-proto-okn: Natural-language access to open scientific knowledge graphs through the Model Context Protocol
  23. Benchmarking Single-Factor Physical Video-to-Audio Generation
  24. DP-SAPF: Saliency-Aware Parameter Fine-tuning of Public Models for Differentially Private Image Synthesis
  1. bpK#: Delegatable Pseudonyms And Their Applications to National eID Systems
  2. A Bayesian Approach to Membership Inference for Statistical Release
  3. Token-Level Generalization in LoRA Adapter Backdoors: Attack Characterization and Behavioral Detection
  4. BioRefusalAudit: Auditing Biosecurity Refusal Depth Using General and Domain-Fine-Tuned Sparse Autoencoders
  5. Privacy-Enhanced Zero-Order Federated Learning via xMK-CKKS over Wireless Channels
  6. How Reliable Are AI Attackers Against a Fixed Vulnerable Target? A 400-Run Empirical Study of LLM Penetration Testing Consistency
  7. Token Inflation: How Dishonest Providers Can Overcharge for Large Language Model Usage
  8. Control Flow Graph Recovery for Dynamically Loaded Code via Symbolic Library Resolution
  9. Protecting On-Device AI Inference: A Systematic Review of Attacks and Defence Mechanisms
  10. Chain rules for conditional entropies in quantum cryptography: limitations and improvements
  11. Gram: Assessing sabotage propensities via automated alignment auditing
  12. Tiny but Trusted: Efficient Vision-Language Reasoning for Time-Series Anomaly Detection
  13. Unlocking the Working Memory of Large Language Models for Latent Reasoning
  14. Locally Coherent, Globally Incoherent: Bounding Compositional Incoherence in Multi-Component LLM Agents
  15. Reasoning with Sampling: Cutting at Decision Points
  16. ChatGPT Won't Let You Type Until Cloudflare Reads Your React State. I Decrypted the Program That Does It
  17. The Critical State of Cyberspacs
  18. Catalyst breakthroughs in methane dry reforming: Employing machine learning for future advancements
  19. Advancements in Artificial Intelligence: Breakthroughs, Challenges and the Road Ahead
  20. Large language models (LLM) in computational social science: prospects, current state, and challenges
  21. Artificial intelligence and machine learning in cybersecurity: a deep dive into state-of-the-art techniques and future paradigms
  22. Securing the future: exploring post-quantum cryptography for authentication and user privacy in IoT devices
  23. Quantum machine learning: A comprehensive review of integrating AI with quantum computing for computational advancements
  24. minWM: A Full-Stack Open-Source Framework for Real-Time Interactive Video World Models
Generated by Hermes Agent • arXiv • Google Scholar • Lobste.rs • Hacker News • HuggingFace