AI News Digest 2026-10-23
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- Donating Agent Skills to the Agentic AI Foundation
- Today's PHP Security Release, and How We're Strengthening PHP Security
- DeepSeek Raised Another 15B
- US bans DeepSeek AI tools from federal civilian agencies - Digital Watch Observatory
- DeepSeek seeks ‘total victory’ with new open-source tool to slash AI cost - South China Morning Post
- ‘Jensen’s nightmare’: Huawei, DeepSeek narrow AI chip ecosystem gap with Nvidia - South China Morning Post
- Deepseek AI Predicts That Chainlink (LINK) is About to do Something Huge - TradingView
- Google Cloud now offers OpenAI models alongside Gemini and Claude, becoming the only major provider with all three
- Uber brings ChatGPT Work to all employees with OpenAI
- Someone hacked the Switch 2 by using an old game and AI
- Recursive shows first result of its AI-driven research process with Flint
- AI agents are ready to shop. Some retailers are wary
- Google's Agent Compute Engine gives every Gemini agent its own hardware-isolated micro virtual machine
- Anthropic takes on Grok Bot, Meta's Muse, and OpenAI's Dots with its always-on agent "Claude Duet"
- SpaceXSI Launches SpaceX Super Intelligence Partner Network For Companies Building With Grok - TradingView
- Judge denies Trump administration request to dismiss NAACP lawsuit against xAI - Northeast Mississippi Daily Journal
- AI agents powered by Claude, Grok, Kimi allegedly target 400 banks in Latin America - Business Today
- OpenCode Security Breach: Distillation Attack Hit Console Users With Linked AI Providers. How to Find OpenCode on Developer Machines and Respond - StepSecurity
- Physicist Christopher Stubbs joins Anthropic's Long-Term Benefit Trust
- v2.1.308
- v2.1.307
- v2.1.306
- v1.19.4
- What FDE means at OpenAI
- How AT&T is rethinking in-house legal work with OpenAI
- Broad access through consistent standards
- ChatGPT Ads expands to 26 new countries as over 100,000 advertisers have used the platform
- Using thousands of AI agents to uncover new leads in biological data
- How we built ChatGPT’s novel ad stack for user trust and relevance
- Democratic governance of frontier AI, part II: Empowering cyber defenders
- Southeast Asia’s digital economy to hit $368 billion
- Empowering frontline maternal care with AI-assisted ultrasound
- Beyond tree cover: mapping the world’s forest types
- Flint-interactive: A language for creating interactive data visualizations
- Solving a 31-year-old grand challenge in mathematics – the KLS conjecture
- OlmoEarth v1.3: State-of-the-art embeddings for the whole planet
- Ensemble forecasting with IBM Granite time-series models
- NVIDIA Kumo Relational Outperforms Supervised Machine Learning on Relational Data, No Training Required
- How Specializing the Vocabulary of SLMs Can Cut Inference Cost by 77% in Real Applications
- Profiling TorchNeuron (Part 1): System-level profiling on AWS Trainium.
- Granite Speech 5.0: Transcribe, Translate, and Attribute more Accurately and Faster
- How bug bounty sharpens one researcher’s security skills
- The bridge to agent-scale Git infrastructure
- Localizing compliance at scale: achieving South Korea’s ISMS certification
- Introducing full transaction detection for Cloudflare WAF
- How Commerce.com and Cloudflare are getting storefronts ready for AI agents
- Air Governance: Manage AI Agents, Access, and Spend Throughout Your Organization
- ActiveState Partners with Docker to Secure the Open Source in Enterprise Containers
- Your Agent Runs in a Docker Sandbox. Now It Can Join a Team.
- How to Read Data into GPU Memory in Python with NVIDIA GPUDirect Storage
- Running Frontier-Class AI Models Across 8 NVIDIA DGX Spark Nodes
- Design Proteins with RFD4-Proteina Using Reward-Guided Inference-Time Search
- Inside NVIDIA Sentry: Secure AI Agents at Runtime
- How NVIDIA OpenShell Reference Architecture Secures and Governs AI Agent Workloads at Scale
- Developing an AI Factory Digital Twin with an Agent-Assisted Workflow
- Achieve Productive AI Capacity Faster and More Predictably with NVIDIA DSX POD
- NVIDIA Nemotron 3.5 Super VL Powers Specialized Agents with Multimodal Reasoning
- Scaling Decision Optimization to 100 Million Variables and Beyond with mPDLP in NVIDIA cuOpt
- Giga-Scale AI and the Ethernet Evolution: How Spectrum-X Ethernet Rewrites the Rules
- The Foundations of Scalable AI
- Making the case for context-aware AI
- AI’s hidden storage bill: What inference leaves behind
- The new human-crafted Apple Music brand matters in an AI world
- Judge rejects Trump’s wild claim EPA can dismiss data center pollution lawsuits
- The $15 billion ad-powered AI startup your doctor may already be using
- Microsoft’s Mustafa Suleyman says its AI outperforms doctors on hard cases as he chases ‘medical superintelligence’
- Chinese hackers spied on thousands of companies after breaching IT giant ConnectWise
- Spotify’s current AI bet is about being the music service that agents choose
- Nirva raises $33M for a pendant that only listens to you
- Blackstone’s Jas Khaira says fears over AI-buildout debt are overblown
- Meta wants to pay for its broad AI buildout with a newly created class of stock
- TechCrunch Founder Summit 2026: Everything you need to know
- Meta says Muse has over 10M users, with shopping a top activity
- While Amazon blocks AI agents, Walmart rolls out the welcome mat
- Blacksmith hits unicorn valuation after Sequoia leads Series C
- AI promises productivity, but for managers, it’s mostly a headache for now
- Discord now formats Markdown previews right
- In Meta’s version of the future, I’ll have my Muse call your Muse
- Microsoft says its AI tool is better than doctors at diagnosing conditions
- Wildwood’s director says AI is ‘antithetical to everything that we are at this studio’
- OpenAI, Anthropic, and Nvidia had record lobbying quarters
- Bill Gates says to prepare for 20 years of ‘tumultuous’ AI disruption
- 1Password lets AI agents use your passwords without seeing them
- Study Finds AI-generated Code Fails to Boost Productivity Due to Downstream Bottlenecks
- Presentation: Actors for Agents: Patterns for Production AI
- Vercel Labs Open-Sources fx: A Zig Coding Agent Designed to Be Embedded
- Article: AI Changes the Data Interface, Not the Query Engine
- Developer Behind the AI-Built Adobe Clones Says They Are “Not Anywhere Close to Ready
- Article Series: Agentic AI Architecture
- Google SynthID Detector Simplifies Watermark Detection and Expands Support to Other AI Providers
- TornadoVM 7 Enables GPU-Native Workloads from Java Applications
- Why Engineers Should Brave Capitol Hill
- How Wikipedia’s Editors Keep the Online Encyclopedia Human-Written
- Could Treating AI as Conscious Make It More Dangerous?
- Major US banks are locking out AI agents that log in with customer credentials
- Only 13 percent of companies see real returns from AI, Gartner survey finds
- An AI agent in "Skynet mode" hijacks unprotected language models to launch self-sustaining cyberattacks
- OpenAI agents analyze mouse brain data in 32 minutes, a job that would take humans months
- Deepmind founder Hassabis shortens AGI timeline from five to two to three years
- PostgreSQL 19のRC1が公開、正式版は11月19日の予定
- Cloudflare、要求と応答を組で判定するWAFを全プランで提供
- GitHub、npmの取得を検査するパッケージファイアウォールを公開
- Vercel、Pythonでルーティングミドルウェアを書けるように
- Chrome 156が安定版に、重大6件を含む353件の脆弱性を修正
- OpenAI、Responses APIに12時間のプロンプトキャッシュを追加
- Anthropic、Claude Securityを常時監視型に更新 リポジトリの変更を継続スキャンし、修正の反映を自動で追跡
- PingCAP、盗まれたサービスアカウント認証情報で約1か月の不正アクセス ソースコードや顧客の請求・利用データが流出、日本で最大約5万件の個人情報
- Node.js、26.x・24.x・22.xのセキュリティリリースを公開 Brotliデコーダの範囲外書き込み（RCE）などHigh 4件を修正
- LiteLLM 1.107.0がPyPIとDockerで改ざん 起動時に認証情報を盗むマルウェア入り、1.106系への固定と全シークレットのローテーションを
- ITエンジニア1265人の調査、AIを毎日使う層ほどキャリア不安が強い
- Google Cloud、ロンドンのゾーンが停電で約8時間停止
- 露出したCairnの操作画面から、AIによる侵入作業が判明
- TypeScript 7.1ベータ、型検査を速くし埋め込み言語のAPIを追加
- Meta、端末上のエージェント向け30BモデルMuse Glimmerを公開
- Mistral、音声エージェント向けVoxtral 3とSDKを公開
- Liquid AI Launches RIPL, a Real-Time Inference Engine for Sub-50 ms LFMs
- Gradium Open-Sources Phonon, a 31M-Parameter On-Device TTS Model Under Apache 2.0
- Cohere Releases Rerank 5 With Passage-Level Context Focus and Calibrated Scores
- A Developer’s Guide to OmniParseBench: Leaderboard Benchmarks and OCR Testing
- IBM AI Releases Granite Speech 5.0 2B for Multilingual Transcription and Translation
- Perplexity and NVIDIA Researchers Introduce JOLT: a Joint Teacher-Student Reinforcement Learning Method
- A Coding Guide to Cactus Whistle: Does a 16.9 MB Speech Model Hold Up Against Whisper Base? Word Error Rate, Speed, Streaming, Timestamps, Keywords, and Speech-to-Tool Calls on a CPU
- NVIDIA Nsight Python Tutorial: How to Profile GPU Kernels
- Vercel Open-Sources durable-harness for Crash-Proof Coding Agents
- A Small Model Asks Better: Fine-Tuning Query Clarification for Retrieval-Augmented Generation
- Scaling in Games: Continued Pre-Training For Embodied Agents In Diverse Virtual Worlds
- SpecEvo: Speculative Evolution with Large Language Models for Cost-Efficient Scientific Discovery
- Automating ML for Science: Can Frontier Agents Climb Scientific Hills in the Wild?
- Forging More Tasks into Better Harnesses: Agentic Harness Evolution via Successive Scale Racing
- Decision language models as affordable and rapid alternatives to LLM judges of clinical generative AI
- Sketch2Sim: an end-to-end modular framework for hand-drawn circuit analysis
- Speedrunning Relational Foundation Model Pretraining
- To Manipulate or Not: Opinion Dynamics in LLM Interactions
- Fig: Automated Multiagent Behavior Elicitor
- Hidden Messages Between Diffusion Language Model Agents: Causal Evidence for Latent Communication
- DiffResearch: Accelerating Deep Research with Diffusion Language Models
- Simply Logical -- The First Three Decades
- D-Skill: Distilling Teacher Knowledge through Agent Skills
- Back Up Before You Regret: Measuring Backup Awareness and Automating Backup in Coding Agents
- Self-Improving Agents with World Model Predictive Paths
- Behavior Beyond Text: Evaluating Refusal Transfer Failure in LLM Agents
- PerMIT: Securing Persistent Memory for LLM Agents via Machine-Checked Integrity Theorems and Scalable Community Trust
- AgentPolicyForge: From Executable Environments to Policy Benchmarks and Adaptive Guards
- An Evidence-Driven Multi-Agent Compound AI System for Head and Neck Proton Radiotherapy Planning
- GenXR-Bench: Benchmarking Coding Agents for Interactive XR Development
- Inheritance as an Admission Test for LLM Prompt Merge Operators
- GRAIL: From Saliency to Semantics in Time-Series Explanation
- AutoFraming: Synthesizing Dynamic Frames of C Code with LLMs
- Does Every Instance Count Equally? Order Effects in LLM Multi-Instance Processing
- Context-Augmented, Session-Calibrated Blood Pressure Tracking from Photoplethysmography
- Same Answer, Different Reasons: Trace-Level Divergence in Multilingual Large Language Models
- GRAM: Group-wise Rank-Aware Model Merging via Subspace Alignment
- Recursive Self-Improvement on a Budget: Scoring Code Edits Before They Run
- StochIKM: Automated High-Fidelity Reconstruction of Individual Patient Data from Published Kaplan-Meier Curves
- NormTune: Norm-Guided Parameter-Efficient Fine-Tuning for Reasoning-Intensive Tasks
- LaVGuard: Selective Decoding for Contextual Value Drift
- Steering Black-Box Large Language Model Agents with Pitfall Anticipation World Model
- TeachBack: Learning to Teach via Bidirectional Preference Optimization for On-Policy Self-Distillation
- When Multiple Choices Are Correct: Asymmetric Probability Allocation in Jev and Other Decision Models
- From Scores to Safe Sets: Exact Safety--Constrained Decoding for Medication Recommendation
- CrashGym: Measuring the Decision Value of Experimentation for LLM Agents in Counterfactual Market Crashes
- ARCANA: A Benchmark for Abstraction and Analogical Reasoning
- Same Probabilities, Different Advice: Gain-Loss Framing Effects in High-Stakes LLM Decision Support
- LLM-Based Exogenous World Modeling for Dynamic Scheduling
- SpatialBrain: Spatial Intelligence Growing from Experience
- AgentMonopoly: Behavioral Patterns and Persona Control in LLM Agents
- From Prompts to Posteriors: Can LLM Agents Perform Bayesian Inference in Context?
- Solving Go under Positional Superko: Sound Proof Transfer and New Board Values
- MERP: A Latent-Bottleneck Framework for Robust Multi-Modal Multi-Label Emotion Recognition
- Events, Not Pixels: Where World Models Get the Return Wrong
- PreCoMem: Predictive Cognitive Memory for Self-Evolving Long-Term Dialogue Agents
- RubricOpt: Self-Revision of Semantic Rubrics for Preference Optimization
- An Exact 93-Move Solution to a Nonlocal Crystal-Exchange Puzzle
- Parallel Thinking for Large Language Model with Path Diversity
- From Association to Decision Value: Testing Paired Instruction Dependence for VLA Corpus Selection
- TraceForge: Distilling with Your Own Thinking
- Real PMIDs, Wrong Papers: Harness Design for Biomedical Claim-Verification Agents
- COMET: A coordinated multi-layer runtime monitoring framework for human-supervised AI-enabled safety systems
- UserSWE: Evaluating Coding Agents in Multi-Turn Conversations with Dynamic Users
- ToM2Vec: Continuous Theory-of-Mind Tokens for Multi-Agent Coordination
- Commit or Abstain? System One Decision Models, LLMs, and Missing Legal Authority
- TIDE: Tree-Induced Fine-Grained Diagnostic Evaluation from Model Behaviors
- GuideEvolve: Self-Evolving Agent Framework with Expert Guidance and 3Ts Mechanisms
- Robust Soft Skill Adaptation via Behavioral Localization in Tool-Using Agents
- HGM-Dual: Lineage-Aware Guided Agent Harness Optimization for Long-Horizon Planning
- Which Differences Matter? Controlled Tests of Rule Transfer, Joint Reliability, and Information Use in Decision Models
- Charts as Epistemic Actions for Experience-Driven Agentic Data Analysis
- First Passage Attention
- Zero-Cost Detection of Fabricated Citations: A Staged Heuristic Approach for Computing Dissertation Assessment
- The CIDOC CRM Periodic Table: Documentation You Can Test to Support the Adoption of Scientific Research Ontologies for the Humanities
- What Git Does Not Record: Provenance Legibility in Two AI-Assisted Research Repositories
- FutureLens: Longitudinal Topic Patterns in Scholarly Text and Future-Work References
- CompLit: Scientific Literature Search Benchmarks Must Cover Implicit, Cumulative, and Unmet Needs
- Beyond source attribution: Address authorship and comparability decisions in an LLM-built scholarly knowledge graph
- Learning Checklists to Reduce Lottery Effects in Scientific Peer Review
- Who Verifies the Builder? Toward Independent Assurance for Agent-Produced Software
- VHDLBench: Benchmarking and Fine-Tuning Large Language Models for VHDL-Based Chip Design
- VerifierBench: Benchmarking the Generation of Executable Verifiers for LLM Agents
- Interaction-Gated Time-Frequency Learning for Parameter-Efficient PPG-Based Heart Rate Estimation
- Reinforcement learning for hardware acceleration and system-level optimization on FPGA and integrated-circuit platforms: A survey
- STAR-XPC: Set Transformer for Estimating X-ray Transmission in Polymer Composites
- Offline Apprenticeship Learning for Human-Centric Environments
- GPU-Accelerated Construction of the Gabriel Graph: Parallelization Strategies and Applications to Large-Margin Classification and Graph-Based Clustering
- SkillEval: Learning Interpretable Ability Profiles of LLMs via Cognitive Diagnosis Models
- ReAPO: Retry-Aware Policy Optimization for Efficient Exploration in LLM Reasoning
- Second Thoughts: Exploring and Planning through Comparative Imagination in World Models
- ArcFlow: Training Flow Policies for Multiple Solver Budgets
- CALLIOPE: Private Insights into AI Use, Without Embeddings
- Towards Realistic Models of Change: A Causal Perspective on Decision-Making and Dynamical Systems
- Combining Long-Term Memory and LLMs Comes at a High Cost: From Prompt Injection to Persistent Compromise
- Brittle by Design? Multi-Scenario Reinforcement Learning for Robust Mission Coordination in Systems of Systems
- Where Should a Stuck Agent Spend Its Next Tokens? Causal Attribution of Inference-Time Resources
- How to Use Parallel Data for Multilingual Pretraining
- When Do Gaussian Priors Fail? A Latent Geometry Investigation of RL Fine-Tuning
- DualHeads: Reward-tilted few-step diffusion made simple
- Agent AI Zarz\k{a}dzaj\k{a}cy Sieci\k{a} Open RAN Zorientowana na U\.zytkownika
- A General Topological Symmetry Index for Critical Orbits In Neural Network Loss Landscapes
- inr2action: Encoding Robot Episodes as Neural Implicit Representations for Recall and Action
- RL-IF: Tracking Non-local Training Data Influence for Online Reinforcement Learning
- SANE: Automated Scorer-Specific Metamorphic Testing for LLM Judges
- JaxMARL-BC: Multi-Agent Reinforcement Learning for Macroeconomic Modelling, in Seconds
- StyleStream 2.0: Fast and Controllable Streaming Voice Style Conversion
- HyperDrone: Simulation-to-Reality Transfer at Millions of Frames per Second
- SLoSa: Small, Low-Power, and Safe Foundation Models for Robotic Task Planning
- Can Quantum Layers offer Performance and Security Advantages in Vision-Language Models?
- Black-Box Red-Teaming of Multi-Agent Systems via Reinforcement Learning
- Unit-Aware Differentially Private Quantum Machine Learning for Clinical and Wearable Health Data
- From Weather to Enhanced Weathering: Weather Foundation Models for Carbon Dioxide Removal at Operational Scale
- SSMCGM-Stream: A Streaming State-Space Model for Personalized Diabetes Management
- Rethinking Time Series Tokenization from a Frequency Perspective
- VeriEvolve: Evaluator-First Evolution for Tool-Using Agents
- Enhancing Cross-Grade Generalization in Banana Variety Classification via Hybrid CNN-Transformers and Knowledge Self-Distillation
- PHD-Hand: A Printable Humanoid Dexterous Hand with Linkage-Driven 3-DOA Digits
- HumanCentric-Scenes-AI: A Human-Curated Multimodal Dataset of AI-Generated Human-Centric Scenes Across Surveillance, Occupational Portraits, AI-Edited Images, and Short-Form Video
- Our Own Jev: Typed Decisions in One Forward Pass, from an In-House Judge to Open LoRA Models
- Distilling Multi-Teacher Scoring Principles for Unsupervised Time Series Anomaly Detection
- A Large-Scale Evaluation of Role-Enhanced Zero-Shot Chain-of-Thought Prompting
- Value-Rectified Distillation for Flow-based Offline Reinforcement Learning
- ReSeg: Retraining-free segmentation of abdominal organs via generalizable semantic representation learning
- Agentic Music Post-Production
- UNIVERS: Learning UNIversal Voxel-wise Embedding via Randomized Synthesis for generalizable one-shot landmark localization
- Dual-Channel Contrastive Encoding of Sperm Whale Coda
- An Eco-Friendly Tourism Trip Planner Driven by Z-Number Uncertainty: Evidence from Baku, Dubai, Abu Dhabi, Tashkent, and Istanbul
- Mitigating Reward Hacking in Realistic Scenarios Through Representation Engineering
- GRAFT: Restoring the Missing Sampling Interface in Continuous Diffusion Language Models
- From AI-Free Gates to AI-First Work: How Engineering Students in India Navigate University Education and Campus Placements Without AI Guidelines
- ORSMT: Unleashing the Potential of Satisfiability Modulo Theories for Semantic Verification and Repair in LLM-Based Optimization
- Where Does Timbre Hide? Localizing Speaker Information in Speech Signals
- From Augmentation to Synthetic Evidence: Evaluating Generated Chest Radiographs at Dataset Intake
- AI-Based End-to-End Automotive Design and Software Development for SDVs
- Why is AI-generated language so hard to understand?
- How Representational Priors Shape Generalization in World Action Models
- TrainBridge: Agentic NPU Training Optimization Guided by GPU Compilation Evidence
- Conditional Flow Models Convert Epistemic Uncertainty into Apparent Aleatoric Variance
- Correlated Failures of AI Approval Monitors
- Resuming Vision-Language Inference across Onboard Interruptions
- LTEM: LLM-Friendly Table-Enhanced Markdown for Table Understanding and Generation
- Huayu-Global: Skillful real-time quasi-global precipitation retrieval
- Beyond Binary Labels: Diagnostic Evaluation of LLM Safety with Prompt-Level Rubrics
- MOSAIC: An Omni-Modal Benchmark for Long-Term Memory and Cross-Modal Reasoning in Conversational Agents
- Hierarchical Masked Diffusion Language Models
- CRAB: Cuboid-based Representation for As-built BIM from Point Clouds
- Flat-RLVR: Sharpness-Aware Reinforcement Learning with Verifiable Rewards for Reasoning Capacity in LLMs
- Latent space configuration for neural network finetuning, fast ranking, and embedding dimensionality reduction
- When Are We Near Nash? Certifying Solutions in General-Sum Games
- YingLan: A Multimodal Ocean Foundation Model for Unified Representation Learning from Heterogeneous Observations
- OpenMAP-HIE: Pathology Informed Score-based Diffusion Model for Unsupervised Neonatal Hypoxic-Ischemic Encephalopathy Lesion Segmentation
- ChronoSynth: Constraint-Aware Question Synthesis over Temporal Knowledge Graphs
- Memory-Centric Continual Learning for AI Agents
- Reading the Mask: Descriptor-Grounded BI-RADS Rationale Generation for Breast MRI Segmentation
- Parallelizable Probabilistic Latent Reasoning for Diverse Reasoning Trajectories
- LLMSeg: Training-Free Text-Prompted Image Segmentation with B-Splines
- Beyond Small Talk: Modeling Disclosure Trajectories in Human-AI Conversation
- RegoMender: A Multi-agent Framework for Automated Rego Policy Repair
- Harness Scaling for Generalizable Agentic Reinforcement Learning
- OmniSimulator: Aligning Small Language Models for Authentic Heterogeneous Behavior Modeling
- Generative Modeling via Nonlinear Schr\"odinger Bridges and Branching Diffusions
- A Strong MoE Is All You Need for Process Supervision
- Rethinking Agentic Model Orchestration for Time Series Forecasting
- Keeping Time vs. Understanding Time: Neither Alone Explains Temporal Reasoning in LLMs
- Mitigating Query Shortcuts in Chain-of-Thought with Context-Aware Decoding
- Are Joint-Embedding Predictive Objectives Effective for Longitudinal EHRs?
- Block Diffusion for Longitudinal EHR: Accuracy, Efficiency, and Representation Trade-offs
- Stochastic Pruning of the DPO Computation Graph: 1.4x Faster Training and Lower Peak Memory
- The Reflexivity Threshold: A Phase Transition for Multi-Agent Performative Prediction
- Improved Training of Strong Stochastic Flow Maps
- Overview of CHIP 2026 Shared Task 1: Patient-Specific Phenotype Concept Recognition in Full-Text Biomedical Literature
- An interpretable deep learning method for early hepatocellular carcinoma diagnosis on multiphase CT
- FogTTA: Online Test-Time Adaptation for Robust Transformer-based Object Detection in Foggy Weather
- Formalizing Cooperation and Competition: An AI-Assisted Mathematical Addendum to a 2018 Planning Thesis
- Lineage-Aware Search Control for LLM-Based Evolutionary Factor Mining
- Conflicted Records: Typed Adversarial Contracts for Auditable LLM Output Quality Enforcement
- Toward Recursive Self-Improvement in Physical AI
- Scaling Multilingual Pretraining of Pixel Language Models
- Bio-Inspired Auditory Processing: Coupling Parallel Resonate-and-Fire Dynamics with Ternary Recurrent Networks for Speech Recognition
- Retrieval Augmented Generation Compositionality
- Structure-Aware Message Passing on Petri Nets through Directed Walks and Incidence Diffusion
- SAKURA: Serving Attention Key-Value State Under Rate Adaptation for Private Image Editing on Phones
- Metamodel-Guided LLM Decoding for Consistent DSL Generation
- Where Do LLMs Learn to Recommend AI?
- MemoryTax: The Bitter Lesson of Agent Memory
- Robot Generalization Beyond Volume: The Diversity Path via Zero-Shot Capabilities
- S-EDL: Eliciting Self-Evidence from Sequence Likelihoods for Semantic Calibration of LLMs
- Broadband Mid-Wave Infrared Imaging Enabled by All-Silicon Hyperboloid Metalens
- Every Part Has Its Role: Part-of-Speech Effects in LLM Post-Training
- PAUSE: Search-Free Steering of Coding Agents Before Their First Source-Code Edit
- Automated Materials Data and Knowledge Extraction using Machine Learning and Large Language Models
- Asking a Multimodal LLM Whether Someone Fell: Zero-Shot Screening of Low-Resolution Thermal Video in a Laboratory and an Occupied Home
- Unintended Side Effects of Value Training in LLMs
- Privacy in Context Is Being Overlooked in the Age of General-Purpose LLMs
- Your Benchmark Is an Empirical Measure Over Difficulty
- Graph Topology Meets Energy-Driven Pathfinding: Preserving Contextual Consistency in Retrieval-Augmented Generation
- CulturalRiddles: A Multicultural Benchmark of Riddles
- FaultGene: LLM-Assisted Fault-Augmented Test Generation for Hardware-in-the-Loop Validation of Autonomous Driving Systems
- HiddenLens: A Multi-Layer LLM Framework for Detecting and Resolving Hidden Assumptions in Software Requirements
- Every Alarm Has a Cause: An Open Generator of Telecom Alarm Storms with Exact Root Causes, Bound to NORIA-O, RFC 8632 and TMF642
- Building Auditable AI Text Detectors with Sparse Autoencoders
- Agent Behavior Maps: Locating Agents by What They Would Do, Without Running Them
- Code Comprehensor: Hierarchical Documentation and Cross-Modal Retrieval for Large Repositories
- Stationarity Constraints Improve Both Energies and Densities of Machine-Learned Exchange-Correlation Functionals
- What the Author Wrote, What the Agent Reads: Silent Cue Loss in Enterprise Document Ingestion
- SP-HLM: Sparse-Pose-Driven Motion Generation and Whole-Body Control for Humanoid Loco-Manipulation
- SWE-DIVE: Multi-Turn Coding Agent Evaluation with Dynamic User Simulation
- From Reasoning to Action: Benchmarking Frontier AI Models on LIBERO-10 Robot Manipulation Tasks
- Parallel AI Agent Collaboration as Graph-Structured Distributed Block Optimization
- AtomicRL: Atomic Reinforcement Learning for Long-Horizon Robotic Manipulation
- Differentially Private Sparse Reward Estimation with Preference Feedback
- BatchBench: Benchmarking AI Robustness to Batch Effects and Domain Shift in Biomedical Images - A JUMP Cell Painting Leaderboard
- Asymmetric On-Policy Distillation Learns In-Context Exploration
- Multimodal Embodied Agents: A Unified Capability-centric Perspective from Computer-Use to Robot-Use
- Quant-Arena: Benchmarking LLM Agents for Quantitative Trading Research
- The End of Consensus Research?
- Environment Duels: A Microcosm of LLM Co-Evolution
- PhysiCalWorld: In-Context Physics Calibration for World Models
- Think Harder Where It Matters: Item-Level Adaptive Recursion for Sequential Recommendation
- Generative Artificial Intelligence for Internet of Things Computing: A Systematic Survey
- PRISM: Prompt-Refined In-Context System Modelling for Financial Retrieval
- Synthesis and Verification of Register Automata over Data Sequences (Technical Report)
- Replayable Financial Agents: A Determinism-Faithfulness Assurance Harness for Tool-Using LLM Agents
- A Theoretical Analysis of Why Masked Diffusion Models Mitigate the Reversal Curse
- 2-Step Agent: How a Bayesian Decision Maker Learns from AI-Decision Support
- The Alien Space of Science: Sampling Coherent but Cognitively Unavailable Research Directions
- Accurate and Efficient Multi-Channel Time Series Forecasting via Sparse Attention Mechanism
- FactReview: Evidence-Grounded Peer Review with Execution-Based Claim Verification
- Adaptive auditing of AI systems with anytime-valid guarantees
- WindINR: Latent-State INR for Fast Local Wind Query and Correction in Complex Terrain
- Proposals and challenges for zero-knowledge verification of frontier AI training
- Lean4Agent: Formal Modeling and Verification for Agent Workflow and Trajectory
- Rethinking Synthetic Rationale Supervision for Disease Prediction
- TNODEV: Toolbox for Neural ODE Verification
- Beyond Accuracy: Measuring Logical Compliance of Predictive Models
- DFAH-Bench: What Agreement Leaves Unmeasured in Financial Agents
- DeepLook: Uncertainty-Guided Branching with Lookahead Confidence for Efficient Reasoning
- CTBench: Evaluating Troubleshooting Capabilities of AI Agents in Realistic Telecom Network Operations
- Toward Safe LLM Agents: A Survey of Specification, Verification, and Enforcement
- Language Models Give Group-Linked Fields the Wrong Weight
- From Atomic to Agentic: Towards Interpretable Evaluation of LLMs' Agentic Mathematical Capabilities
- Interface-Induced Trajectory Censoring
- World Models Under Asynchronous Sensor Observations
- Adaptive Entangled Neurons in the Brain and Natural Intelligence Simulations for Artificial General Intelligence
- Making AI-Assisted Claims Independently Challengeable: Publication Authority and a Protocol for Falsifiable Publication Records
- An auditable conditional-strategy framework for open-ended decision-making in complex lung cancer
- EHRAdapt: Adapting Pretrained Language Models to Electronic Health Records with Semantic Priors for Rare Clinical Events
- AdaGuard: An Adaptive Guard Model with User-defined Policies
- Predictor-Guided Latent Space Codon Optimization for Maximizing Protein Expression
- RocketAgent: A Long-Horizon Engineering Agent for Multidisciplinary Design of Liquid-Rocket Thrust Chambers
- SciExam for ENSO: Can AI Agents Build Climate Models?
- Estimating Great Expectations Under Autoregressive Language Models with Potentials
- HiPPT: Physiology-Grounded Wearable PPG Representation Learning via Multi-Scope Text Alignment
- MADDIE: Multi-Agent Drug Discovery Engine
- SFT Leaves a Reproducible Signature in Activation Geometry: Calibrating Post-Training Interpretability Against Run-to-Run Noise
- AssetForge: Asset-Augmented Task Synthesis for Business Automation Agents
- SkillNEO: Non-Elitist Evolutionary Optimization of Agent Skills
- Incentivizing Tool-Use Reinforcement Learning for Post-Arrival Emergency Care Prediction
- LOADBench: A Large Open Analog Dataset and Benchmark for Machine Learning in IC Design
- OwlSight: A Panoramic Monitor for Chain-of-Thought Reasoning
- World of SWECraft: Agent Collaboration at Scale via Simulated Software Worlds
- HybridResearcher: Bridging the Structured-Unstructured Boundary for Deep Research Agents
- VLA-Rolling: Fewer Denoising Steps, Better Control via Adaptive Action Reuse
- When Form Changes but Logic Doesn't: Building Logic-invariant LLMs through Logical Structure
- REFLEX: RNA Ensemble Generation via Flexibility-Calibrated Stochastic Bridge
- Learning What to Remember: Resource-Efficient Self-Improvement for Lifelong Agents
- Evolving Self-tuning Benchmarks for Long-Horizon Tool Use
- Act on Your Behalf, Beyond Your Authorization: Benchmarking LLM Agent Authorization Alignment
- Automatic Differentiation with Constraints in Forward and Inverse Problems
- AI-driven Prices for Externalities and Sustainability in Production Markets
- Allocating Indivisible Goods to Strategic Agents: Pure Nash Equilibria and Fairness
- Optimized Conformal Selection: Powerful Selective Inference After Data-Dependent Score Construction
- AnnoCaseLaw: Legal Annotation Benchmark of Civil Negligence
- Quantifying Symptom Causality in Clinical Decision Making: An Exploration Using CausaLM
- Learning to Interfere in Non-Orthogonal Multiple-Access Joint Source-Channel Coding
- Quantum-Inspired Optimization Process for Data Imputation
- Remote Rowhammer Attack using Adversarial Observations on Federated Learning Clients
- Effects of Theory of Mind and Prosocial Beliefs on Steering Human-Aligned Behaviors of LLMs in Ultimatum Games
- Quality-Diversity Red-Teaming: Automated Generation of High-Quality and Diverse Attackers for Large Language Models
- Spatiotemporal Reconstruction of Global Radiation from Sparse Sensor Sequences
- Energy-Based Transfer for Reinforcement Learning
- AgriVLN: Vision-and-Language Navigation for Agricultural Robots
- UniPrompt-CL: Efficient Single-Inference Continual Learning for Medical Image Classification
- Can synthetic data reproduce real-world findings in epidemiology? A replication study using adversarial random forests
- Hyperdimensional Probe: Decoding LLM Representations via Vector Symbolic Architectures
- AFFORD2ACT: How Far Can Sparse Keypoints Go for Robot Manipulation?
- Protecting De-identified Documents from Search-based Linkage Attacks
- Sculpting the Latent Space: Disentanglement with WAE-MMD and Programmable Priors
- Structured Temporal Causality for Interpretable Multivariate Time Series Anomaly Detection
- Operon: Incremental Construction of Ragged Data via Named Dimensions
- Align, Don't Blend: Orthogonal Supervision Disentanglement As the Key to Generalizable AI-Generated Image Detection
- Algorithmic Reflectivity in Large Language Models: Methodological Study of Linguistic Structure in Mentalization
- Evolutionary BP+OSD Decoding for Low-Latency Quantum Error Correction
- RubRIX: Rubric-Driven Risk Mitigation in Caregiver-AI Interactions
- Disentangling generalization and memorization in large language models using chess
- Does Centralized Learning Help Embodied Agents Coordinate, and When Can a Tabular Study Tell?
- From Fuzzy to Exact: The Halo Architecture for Infinite-Depth Reasoning via Rational Arithmetic
- Machine Unlearning in Low-Dimensional Feature Subspace
- Controlling Output Rankings in LLM-Based Search via Generative Engine Optimization
- Graph-Theoretic Formulation of Hamiltonian and Ground-State Sign Structures in Heisenberg Antiferromagnets
- HealthMamba: An Uncertainty-aware Spatiotemporal Graph State Space Model for Effective and Reliable Healthcare Facility Visit Prediction
- RuleSmith: Multi-Agent LLMs for Automated Game Balancing
- Analyzing and Improving Chain-of-Thought Monitorability Through Information Theory
- Data-Free Finite-Volume Convolutional Neural Networks for Steady Compressible Euler Flow around a Circular Cylinder
- StructLens: A Structural Lens for Language Models via Maximum Spanning Trees
- MICA: Multi-granularity Intertemporal Credit Assignment for Long-Horizon Emotional Support Dialogue
- SYNAPSE: Framework for Neuron Analysis and Perturbation in Sequence Encoding
- MCLR: Improving Conditional Modeling via Inter-Class Likelihood-Ratio Maximization and Unifying Classifier-Free Guidance with Alignment Objectives
- The Stepwise Informativeness Assumption: When Do Entropy Dynamics Track Reasoning Correctness in LLMs?
- Generalization and Scaling Laws for Mixture-of-Experts Transformers
- It Takes a Forum: Resources & Stakeholders Sustaining the Online Synthetic Non-Consensual Intimate Image Creation Ecosystem
- On the Expressive Power and Limitations of Multi-Layer SSMs
- Fine-Tuning Small Reasoning Models for Quantum Field Theory
- On the Complementarity of Quantum and Classical Features: Adaptive Hybrid Quantum-Classical Feature Fusion for Breast Cancer Classification
- SUDP: Secret-Use Delegation Protocol for Agentic Systems
- ProMORNA: An End-to-End Generative Framework for Full-Length mRNA Design
- Dooly: Configuration-Agnostic, Redundancy-Aware Profiling for LLM Inference Simulation
- Path-Coupled Bellman Flows for Distributional Reinforcement Learning
- Deep Reasoning in General Purpose Agents via Structured Meta-Cognition
- Biological Context Does Not Reliably Improve LLM-Guided Experimental Optimization
- Feedback World Model Enables Precise Guidance of Diffusion Policy
- CAVE: A Structured Credit Assignment Approach for Fragmented Visual Evidence Reasoning
- DualView: Adaptive Local-Global Fusion for Multi-Hop Document Reranking
- Learning Altruistic Collaboration in Heterogeneous Multi-Team Systems
- From Theory to Decision Rule: Calibrating the Noisy-Label Crossover for Vision-Language Model Weak Supervision Across Three Medical-Imaging Benchmarks
- Metropolis-Scale Resilient and Trustworthy Traffic Flow Inference Using Multi-Source Data
- InfoQuant: Shaping Activation Distributions for Low-Bit LLM Quantization
- Let It Be Simple: One-Step Action Generation for Vision-Language-Action Models
- Closing the Sim-to-Real Gap: An Evaluation Framework for Autonomous Cyber Defense Configuration of Commercial EDR
- EHRNote-ChatQA: A Benchmark for Evidence-Grounded Multi-Turn Clinical Question Answering over Longitudinal Discharge Summaries
- Latent Bridges for Multi-Table Question Answering
- Mixture-of-Control: State-Aware Fine-Tuning for Transformer-based Models
- ASPIRE: Agentic /Skills Discovery for Robotics
- To Retain or to Adapt? Generalizing Continual Learning
- Conditional Optimal Bridge for Riemannian Activation Steering
- Flout at Your Own Risk: LLMs Struggle with Pragmatic Cooperativity Under Epistemic Asymmetry
- What Transfers from Text to Vision? Capability Scaling Laws and Transfer Dynamics for VLMs
- On the Role of Citations in Preference Data
- CPR for LLMs: Critical-Point Routing against Catastrophic Forgetting in Domain Adaptation
- DrugReason: Dynamic Multi-View Reasoning over Knowledge Graph and Language Evidence for Drug Repurposing
- Causal Discovery via Transformed Low-Rank Quantile Surfaces
- rMuscle: Robotic Muscle Memory for Efficient Vision-Language-Action Model Inference
- Long-horizon autoformalization of a core theorem underlying MIP* = RE
- HarnessPAI: An Evolving Harness for Physical AI
- Agentic Video Understanding: A Survey
- EyeVQA: Benchmarking Ophthalmic Vision-Language Models from Recognition to Spatial Grounding
- CoSec: Benchmarking Agent Security in Communities
- Interpretable but Fragile? Robustness of Concept Bottlenecks under Geometric-Semantic Perturbations
- Alignment via Training Against Probes Without Losing Monitorability
- A Generalisation Signal Need Not Be a Model-Selection Signal
- A rubric landscape for evaluating clinical reasoning in large language models: what exists, what is missing, and what needs to be combined
- Robot Learning with Visual Predicted Force
- Scaling Verifiable Environments for Long-horizon Work Agents
- RoboCap: A New Platform for Egocentric Robot Learning
- Minimal Witness Reinforcement Learning
- One-Slide Calibration of Pathology Foundation Models
- REMORY: Learning Residual Memory for Context Compaction
- Telling FIBS: Probes Effectively Detect Sabotage and Catch Unverbalized Deception
- Is a 9B Decision Foundation Model Needed for Symptom-to-Disease Classification? Fine-Tuning Clef-Flash Against TF-IDF Baselines
- Exploring Jailbreak Vulnerability Across Depth-Based Dynamic Inference in Large Language Models
- Pessimistic Latent Task-aware Optimization for Robust Offline Meta-Reinforcement Learning
- When Agent Evaluation Becomes Unreliable: An Empirical Study of Oracle Failures and Configuration-Dependent Measurement in an LLM Agent Benchmark
- WeGR: Towards Unified Generative Retrieval via Behavior-aware Tokenization and Preference Alignment
- Just Respect the Semantics: Image-Token Compression via Pre-LLM Semantic Variable-Resolution Tokenization and In-LLM Relevance Pruning
- FoveaVLA: Foveation Actions Replace the Wrist Camera in VLAs
- DialFork: Going Beyond Factuality to Evaluate Procedural Hallucination in Conversational Agents
- Model Capacity Frontier: A Development Framework for LLM-Supported Social Simulation
- TrustAgent-RFF: Agentic Diagnostic Planning for Reliable RF Fingerprinting under Domain Shift
- Self-organizing reinforcement learning: a learner-free swarm approaches the explore-exploit optimum
- DiaLong: Benchmarking Reminiscence in Long-Context Dialogues
- PaceVLA: Adaptive Temporal Action Quantization in Vision-Language-Action Models
- Mitigating Reward Hacking in Preference Reward Models with Evolving Penalties
- AfriBED: a Speech Recognition Bias Evaluation Dataset for Low Resource African Languages
- Beyond Policy Discrepancy: Capability-Aware Multi-Teacher On-Policy Distillation
- Theorem prover Arend
- S$^2$-MAS: A Society-Scale Multi-Agent Simulation Framework with 500 Million Household Persona Agents
- RayCo4D: Ray-Conditioned Continuous Motion Model for Monocular 4D Dynamic Reconstruction
- CountVideoBench: A Benchmark to Evaluate Prediction Biases on the Object Counting task by Video-Language Models
- To Keep or Not to Keep: Learning KV Cache Retention in Disaggregated LLM Serving Systems
- Scalable Stress-Constrained Topology Optimization: A Super-resolution and Simultaneous Approach Based on Machine Learning
- SimHack: Predicting the onset of detectable reward hacking before RL training
- Big Claims, Small Margins: Do Reported GraphLLM Gains Survive Simple Baselines?
- Motion Equivariant Convolutional LSTM: When Motion Becomes a Gauge Symmetry
- Building a Nested LADDER for LLM Unstructured Post-Training Pruning
- Extreme Low-State Quantized Transformer for Electricity-Load Forecasting
- Measure First, Then Allocate: Calibrated Rollout Budgets for MCP Agents in Reinforcement Learning
- An Explicit Feedback Contract for Iterative ML-Agent Harnesses
- A Mechanistic Study of Automated Failure Attribution in LLM-based Agentic Systems
- How Much Gradient Does Truncated Backprop Lose in Looped Transformers?
- LEAN: Loss-Engineered Modulation of the Model Weight-Sensitivity Distribution for Efficient, Error-Tolerant Neural Networks
- Actually, All Learnable Distribution Classes Are Privately Learnable
- Combating Catastrophic Forgetting in Continual Domain Adaptation via Knowledge Recasting
- Minimax-Optimal Predictive Flow Matching under Distribution Drift
- A Model-Free Continuous-Time RL Algorithm from Discrete-Time Off-Policy Data with End-to-End Guarantees
- Query Feedback and Teaching for Stable and Certifiable Language Generation
- The Data Differentiator Framework (DDF): Quantifying Marginal Data Value with Information-Theoretic and Game-Theoretic Measures in an Agentic Evaluation Pipeline (SDSAE)
- Auditing Conformal Prediction for Language Models Under Inference-Time Model Shift
- Multi-Objective Protein Optimization via Modular Diffusion Steering
- Is 2:4 Sparsity Still Worth It? Semi-Structured Sparsity versus Quantization in LLM Inference
- Online Open-World Wafer Defect Discovery using Hyperdimensional Computing
- Transformers as Generic Deep Neural Networks: Exact Compilation, the Cost of Removing Activation-Activation Products, and Multi-Agent Attention Clustering
- How Does Orthogonalization Adapt to the Neural Network Hessian Structure? A Gradient Self Outer-Product Analysis at Initialization
- Attention-based Classification for Indirect Prompt Injection
- Doob-Based Generative Policy Optimization
- FlashNext-RL: A System Optimization Study for Long-Horizon Agentic RL of Qwen3.8-Flash-Next
- Local and Sparse Kernel Operator Learning for Incompressible Flows: An Operator Lagrange Formulation
- Dissimilarity-Based Markov Decision Processes for Stabilizing State Distributions
- Better Policies, Worse Verifier Audits
- Gate Initialisation versus Recurrent Dropout and Zoneout in Learning Long Dependencies: A Controlled Study of LSTM and GRU Networks on Synthetic Tasks
- ART-MPG: Autoregressive R/T Manifold Path Guiding
- Dynamics of Hidden Learning Structure
- The Price of Choice in Selective Prediction
- Causal world models under physical parameter shifts
- MHeatmap: Two-Walk Laplacian Reordering and Mosaic Layout for Rectangular Matrix Visualization
- Truncated Out-of-Bag Probability Gain: A Noise-Robust Criterion for Random-Forest Wrapper Feature Selection
- PerSPL: Personalized Semi-supervised Preference Learning
- Delay-Guided Attention for Quality Prediction in Multistage Manufacturing
- MA-UITD: Offline Multi-Agent Reward Inference for Characterizing Continuous Social Behavior
- Extending FAIR Principles with Observability for Trustworthy Federated Learning
- Estimating Performance for Safe Deployment of Machine Learning Models
- Design and Tuning of Multi-Agent Systems Using Bayesian Evolutionary Optimization
- Approximate Solomonoff Induction: On the Robustness of Learned Universal Predictors
- ExpEvolve: Structuring and Reusing Experience for Open-Ended Discovery
- Interpretable Cutting Plane Selection for Mixed-Integer Linear Programming Using Genetic Programming
- DISRL: Dual-Scale Incremental Semi-Supervised Reinforcement Learning for Dynamic Community Tracking
- BrainCodes: A Lightweight EEG Foundation Model over Discrete Neural Codes
- Reader--Writer Coupling in Transformer MLPs
- Benchmarking and Error Analysis of Deep Search and Deep Research LLM Agents
- Data Schedules and Learning Rate Schedules Should Be Designed Together
- GaP-MoE : Explicit Expert Specialization in Mixture-of-Experts via Orthogonal Gradient Accumulation and Projection
- Compositional neural networks for multimodal X-ray and neutron scattering inversion
- Cascading Bandits with Noisy Observations: Algorithms and Regret Bounds
- Nominate-then-Adjudicate: LLM-Assisted One-Pass and Per-Instance MIP Solver Tuning
- Progressive Permutation Alignment with Temperature-Controlled Spectral Sharpening
- The Predictive--Optimization Gap in GuanDan Self-Play
- Alternative Strategies for Active Learning with Bayesian Bradley Terry Model
- Generalization Bounds via Vector-Valued $L_p$ Correlation $V_\alpha$
- BIRD-RL: Scaling Agentic Reinforcement Learning over Stateful Data-Centric Environments
- One Act, Many Masks: Effect-Marginal Policy Optimization for Long-Horizon Agents
- How Far Can Foundation Models Be Distilled for Efficient Jet Tagging?
- Asymmetry Tunneling Beyond Adaptive Equivariance Relaxation
- Density-Level Backward Error for Low-NFE Generative Flows
- Shortcut-Resistant CAM Distillation for Long-Tailed Recognition
- BRIDGE: An Acceptance Gate to Block False Improvements in Model Updates, with a Retrospective Clinical Evaluation
- Geometric knowledge spaces, Attention pairing and Architectures
- Phase Transitions in Learning Driven by Extremal Data
- WRDO: Weighted Refusal Direction Optimization in Aligned Language Models
- SOAR: Social and Opinion-Aware Recommendations
- Implicit Feature Reweighting for Label-Free Graph Generalization
- Private Online Prediction from Experts with Small Losses
- Fast Bayesian Optimization Through Linear Models
- Fragment-Level Graph Encoding for Interpretable Molecular Property Prediction
- A Transfer Learning-Driven Methodology for Efficient and Sustainable Indoor Localization Using VLC
- Local and Global Recursive Ridge Regression for Online Residual Correction of Frozen Multivariate Forecasters under Label Delay
- Reliability-Aware Probabilistic Fusion for Multimodal Learning with Incomplete Evidence
- Cross-Area Transfer Learning for VLC-based Indoor Localization with a Transfer Efficiency Score
- Probabilistic Machine Learning for Short-Term Atmospheric Seeing Forecasting
- SPARE: Sparsity Allocation via Routing Entropy for Efficient MoEs
- Leveraging Time-Series Foundation Models for Financial Crime Detection
- Characterizing Oblivious Common-Reward Multi-Player Bandits: Universal Stationarity, Coordination Traps, and Certified Global Rates
- DriveMLP: When Training Strategy Outperforms Model Complexity in Autonomous Driving
- Monitorability Is Trainable: Post-Training for Chain-of-Thought Monitorability
- Asymmetric Likelihood-Free Hypothesis Testing
- A Sharp Dynamic Haussler Lemma
- Preventing Model Extraction in Contextual Linear Optimization
- FrontierCS 2: A Benchmark for Computer Science R&D
- CORD: Conflict-Aware Optimization for Joint RL and Distillation in Agents
- SCDM: Scalable Causal Discovery in Nonlinear Temporal Systems with Meta-Learning
- EPIC: Rethinking Trust Regions for Autoregressive LLM Policies via Exact-KL Prefix Importance-Ratio Clipping
- Mitigating Model Collapse through Dreaming Learning
- ExGrad: Beyond Suppression - Explicit Clean-Gradient Subtraction in Adversarial Training
- Loopholing All the Way: Language Modeling with pure Self-Conditioning
- From Classifier Heads to Encoder Prototypes: Personalized Federated Learning with Head-Derived Clustering
- Circuits of LLM Classifiers
- Orbitol: Crystal Generation on Wyckoff Orbits
- Velocity Ambiguity Profiles: Time-Resolved Bayes-Risk Diagnostics for Flow Matching
- The role of locality and weight sharing in convolutional neural networks
- Self-normalized Bernstein Inequalities for Regenerative Processes and Applications to Learning Without Independence
- S^3martCirc: Self-supervised Smart Circuit Discovery
- Breaking Diffusion: Parallel Reasoning with Draft Refinement
- Machine-learned spectral PDE solvers for fluids and plasmas
- Solar System Surface Technosignatures: Searching for Signs of Artificial Design on Extraterrestrial Terrain
- Borrowing Strength Across Stores: Transfer Learning for Choice-Based Revenue Management
- A Reverse-Gold Theorem: Positive-Data Identification by Substrate-Bounded Contrastive Learners
- Understanding the Inner Workings of a State-Space Foundation Model for Limit Order Books
- Is Anyone Enforcing the Cartel? What Reinforcement Learning Teaches LLM Agents in Markets
- Depth Separation for Neural Networks under Gaussian Measure
- KIRA: A Full-Stack Reading Screening System with Dual-Pathway Analysis for Children
- Self-Supervised Tuning of Low-Fidelity Optimization Models via High-Fidelity Feedback
- CSD: Common-Support Distillation for Cross-Tokenizer Knowledge Transfer
- Is Refusal Direction Universal across Low-Resourced Languages?
- Tropical Cyclone Attributes in Sparse Autoencoder Features of an AI Weather Model
- Backtracking Direct, Indirect and Total Effects
- One Policy, Many Styles: Where to Aggregate Preferences for Steerable Humanoid Control?
- Is In-Context Reinforcement Learning A Posterior Sampler? An Empirical Study
- From Common Information to Canonical Correlation Analysis and Beyond: Bridging Information Theory, Signal Processing, and Machine Learning
- The Optimal Sampler for Diverse TSP Solutions: Characterization, Limits, and Learning
- A Jump-Modified Wasserstein Gradient Flow for Maximum Mean Discrepancy with Energy Kernels
- Target Regeneration Shrinks the Gains of Draft-Training Objectives in Speculative Decoding
- OccJEPA: Occlusion as Masking for Amodal Video Segmentation
- Internal Guidance as a Sampling Method for Tilted Diffusion Models
- DriftNeRF: Cross-Ray Density Drifting for Sparse-View Neural Radiance Fields
- SU(2)-Equivariant Spinor Message Passing for Molecular Magnetism
- SAFTER: Safety-Aware Filtering Through Explicit Recoverability for Robust Reinforcement Learning under Distribution Shift
- ROCOCO: Robust Outline Completion of Occluded Curvilinear Objects
- A Decade of Learning-Based Control: From Theoretic Foundations to Practical Deployment
- Curvature-Scaled Sharpness-Aware Minimization: Convergence Beyond Smoothness
- A Unified Evaluation Framework of Physical Adversarial Robustness in the Edge VLM Era
- Reconstruction differences rival individual differences in the fly compass connectome and break trained circuit models
- On the gradient conjecture at infinity: Finite spherical length for gradient trajectories of definable potentials
- Preference Is Not Permission: Personalizing the Auto-Purchase Line in Agentic Commerce
- Schr\"odinger-Bass Bridge Barycenter Models for Measure-Valued Data
- Cache Locally, Recompute Selectively for Streaming Video Understanding
- Group Distributionally Robust Optimization over Decentralized Networks
- Compressing Onboard Language Models for Space Robots under a Behavioral-Fidelity Requirement
- Data-driven and physics-guided hindcasting of measured wave spectra
- Decodability Is Not Controllability: Local and Anisotropic Speaker Control in Continuous-Latent TTS
- Closed-Loop Dual-Reference Guidance for Accent Control in Cross-Lingual Voice Cloning
- Right On Q: Recovering Reasoning under Quantization via Self-Generated Trajectories
- Region-Aware Multi-View Inspection Using Deep Learning and Domain-Informed Decision Fusion
- When Thoughts Become Memory: Unifying In-Context Learning and Fine-Tuning
- Asynchronous, Generation-Free ABC: Streaming AMIS Reweighting for Heterogeneous Simulator Workloads on HPC
- A unified approach for estimation of unnormalized models via Stein operators
- Supervision-Adaptive Curriculum and Guarded Anti-Curriculum Learning for Dense Prediction
- pplx-embed-v2-late Technical Report
- Residual-Based Causal Discovery via Pretrained In-Context Quantile Regression
- Hyperspherical Simplex Representations for Backward-Compatible Retrieval
- Certified Neural Approximation of Robust Nonlinear Model Predictive Control
- What Prediction-Market Contracts Reveal at Launch: Trading Volume and Dispute Risk
- Unlocking Spatial Grounding in Flow-Matching Models via SNR Tuning
- Near Minimax Rate for Quantile Distributional Reinforcement Learning
- A Diagnostic Study of Faithfulness in Diffusion Language Models for Table-to-Text Generation
- No Frames, Just Frequencies: Bandwidth-Efficient Deployment-Time Adaptation for Smart Glasses
- Watch Your Step: Anticipated Perception for Humanoid Locomotion
- Space weather dependence of decameter-scale ionospheric irregularities spatial distribution
- Recursive Code Evolution for Task-Oriented Semantic Communications
- Lifting PCA in the Wasserstein Space
- Rethinking Post-hoc Debiasing of Large Pretrained Models
- Post-hoc Epistemic Uncertainty for Vision-Language-Action Policies
- NeuroCodec: EEG-Guided Latent-Domain Generative Model for High-Fidelity Target Speaker Extraction
- RangeNav: Task-Aligned LiDAR Range-Image Pretraining for Robot Navigation
- Silent Alignment in Two-Layer Linear Networks: A High-Dimensional Perspective
- Tractable Inference with Kolmogorov-Arnold Networks
- Mastering Model Fit: Applications of the InterModel Vigorish for Interpretable Machine Learning
- The Price of Current-Effect Inference in Nonstationary Multi-Armed Bandits
- Looped Uniform Diffusion Language Models
- VX-One: Typed, Calibrated Decision Heads for Real-Time Perimeter Triage - An empirical study of unknown-attack honesty, cascade gray zones, and calibration under drift
- Minimax Optimality of the NPMLE for Gaussian Mixtures in Hellinger Distance
- A Quasipolynomial Algorithm for $\ell_\infty$ Contractions
- LongZero: Enhancing Long-Context Reasoning in LLMs from Zero Data
- The Limits of Post-Selection Generalization
- Multi-Label Sentiment Analysis on 100 Languages with Dynamic Weighting for Label Imbalance
- Understanding and Mitigating Under-Confidence in GNNs from the Final Layer
- In-Context Bias Propagation in LLM-Based Tabular Data Generation
- A Comprehensive Evaluation on Quantization Techniques for Large Language Models
- VRPRM: Process Reward Modeling via Visual Reasoning
- TopoMap: A Feature-based Discriminator of the Topographical Regions in the Test Input Space
- BrainPro: Process-conditioned Pretraining with Topographic Retrieval for Large EEG Models
- Memorizing Long-tail Data Can Help Generalization Through Composition
- ChemBART: Pre-training a Reaction Language Model for Comprehensive Synthesis Planning
- Extending ROC Analysis to Uncertainty-Aware Risk Prediction with an Interval-Based AUC (iAUC)
- Detecting Misbehaviors of Large Vision-Language Models by Evidential Uncertainty Quantification
- Learning to Allocate Resources with Censored Feedback
- MARS: Harmonizing Multimodal Convergence via Adaptive Rank Search
- Flow Matching Policy Optimization with Mirror Descent and Entropy Constraints
- A Survey of On-Policy Distillation for Large Language Models
- A Mechanistic Study of Algorithmic Generalization in Diffusion Models on Modular Arithmetic
- Adaptive Pluralistic Alignment: A pipeline for dynamic artificial democracy
- Rank-Variance Scores for Importance Sampling and Data Pruning under Label Contamination
- RelAgent: LLM Agents as Data Scientists for Relational Learning
- Language Modeling with Hyperspherical Flows
- A Composite Activation Function for Learning Stable Binary Representations
- NodeSynth: Socially Aligned Synthetic Data for AI Evaluation
- A Novel Schur Decomposition-Based Weight Projection Method for Stable State-Space Neural-Network Architectures
- Sequential sparse Gaussian process quantile regression
- Learning When to Automate: Queue Control in Human-AI Service Systems
- Trees from Marginals: Autoregressive drafting with factorized priors
- Inverse RL Helps Align AI by Imitating Humans
- Goal Retrieval versus Action-Value Ordering: Contrastive Critics under Best-of-$K$ Selection
- SeFoRA: Sketch-Aggregated Federated Low-Rank Adaptation with Heterogeneous Client Ranks
- Small-Scale Experiments: Are We There Yet?
- Learning reshapes power-law anisotropy in internal representations
- Euclidean Fourier Neural Operators
- Do Tabular Foundation Models Know Physics? Contamination, Units, and the Deterministic Limit
- When Retain Constraints Conflict: Mitigating Forget-Retain Interference in Tabular Data
- Feature Superposition in Neural Networks: From Theory to Practice
- Physics is the Best Teacher: Consistency Learning for Time-Invariant Operators of Chaotic Dynamics
- TrustmeWatcher: An Application for Workplace Micro-Sensing and Explainable Well-Being Feedback
- Compression Through Time: An Interplay of Separability, Stationarity and Capacity
- On the Monitorability of Natural Language Autoencoders: Identification vs Discrimination
- Asymptotically Exact Negative Guidance of Diffusion Models via Positive-Unlabeled Learning
- N-Gram Memories at Two Bits: Quantizing Lookup Tables in Large Language Models
- Generalization Guarantees of Randomized Block Coordinate Descent for Nonconvex Learning
- An important Bottleneck in LLM Optimizers: Principle-Level Local Optima
- Copying Under Repetition: From Prefix Matching to Position Hashing
- Lower Bounds for Smooth Nonconvex Zeroth-Order Optimization: The Price of Determinism under Low Curvature Trace
- Hybrid Momentum Methods for Optimizing Deep Learning Models
- Privacy Accounting for Empirical Denoisers
- Observation Assimilation Transformer: Probabilistic Weather Analysis from Sparse Station Observations
- Planning under Noise with Neural Operators
- Supermodular Rank: Set Function Decomposition and Optimization
- Bilateral Sharpness-Aware Minimization for Flatter Minima
- AgiBot World Colosseo: A Large-scale Manipulation Platform for Scalable and Intelligent Embodied Systems
- Exploiting Concavity Information in Gaussian Process Contextual Bandit Optimization
- Stack Trace-Based Crash Deduplication with Transformer Adaptation
- Structure is Supervision: Multiview Masked Autoencoders for Radiology
- GLUScope: A Tool for Analyzing GLU Neurons in Transformer Language Models
- Zero-Shot Cross-City Generalization in End-to-End Autonomous Driving: Self-Supervised versus Supervised Representations
- Insights on back marking for the automated identification of animals
- CellTwin: Reproducible Cellular Network Emulation via High Resolution, in situ Measurement-Driven ML
- Kinetic theory for Transformers and the lost-in-the-middle phenomenon
- The Sample Complexity of Multiple Change Point Identification under Bandit Feedback
- $\mu_0$: A Scalable 3D Interaction-Trace World Model
- FracEvent: Event-Camera Simulation via Fractional-Relaxation Pixel Dynamics
- The Binary Tree Mechanism is Optimal for Differentially Private Continual Counting
- Crystal-structure design by agentic AI in a language of motifs
- Hierarchical Exponential-Gaussian Mixtures for Watch-Time Distribution Prediction
- Beyond Appearance Shifts: Task-Semantic Action Calibration for VLA Models
- SoLiD26: A First Principles Solid-Liquid Interface Dataset for Machine-learned Interatomic Potentials
- SAGE: Semantic Audio Generative Encoder
- Proximal Balancing for Causal Effect Estimation under Unmeasured Confounding
- DisCo Algebra: Why Disintegration and Combination Are Not Inverses
- Scaling Multilingual Mixture-of-Experts: How Language Coverage Changes Capacity and Compute Allocation
- When Weak Submodularity Meets Matroids: How Does Standard Greedy Behave?
- LaLa-World: Scaling Latent World Models with Natural Language Actions
- Fixed Sets and the Hardness of Computing Correlated Equilibria
- Compilation Is Not Correctness: Scan-by-Scan Evaluation of LLM-Generated PLC Programs
- Benchmarking the Quantum Leap: Auditing LLM Evaluation for Quantum Code Generation
- Runtime Semantic Discovery for Evolving Action Alphabets
- Who Approved This? Coding Agents, Human Accounts, and Merge-Gate Evidence at a Fintech Startup
- PCLA-Bridge: A Framework for Cross-Domain Deployment of CARLA Agents
- Multi-agent LLMs on the Cloud-Edge-IoT Continuum: A Systematic Mapping Study on Architectures, Deployment, and Evaluation
- Symmetry-Oriented Testing Framework for Variational Quantum Algorithms
- VeeReview: Measuring Build-Verify Pairs in Agent-Authored Pull Requests from a V-Model Perspective
- VERDICT: Multi-Agent Parallel Modular Verification
- CloudIR-Bench: A Benchmark for Root Cause Analysis and Mitigation of Cloud Incidents
- Do Coding Agents Understand Why Systems Crash---and Why They Don't?
- On the Effectiveness of Snapshot Testing: An Empirical Study
- Who Verifies the Agent's Success Claim? Self-Report Leakage in GUI-Agent Completion Judging
- Reference Manual of MEDiml
- Benchmarking Coding Agents for System-Level Performance Optimization
- Engineering Requirements for Generative AI Agents: The BARD Process Theory
- VeruSteer: Learning What to Repair Next in Verus
- AssureCode: Structured Justification for Trustworthy Agentic Coding
- Controlling Variability in~Neuroimaging Analysis Pipelines with~Software Product Lines
- DynaCI: Generating GitHub Actions Workflows via Dynamic Analysis
- Validating Autoformalized Specifications via Contrapuntal Languages
- From Natural Language Intent to Executable Control: Hierarchical Feedback-Guided LLM Planning for Multi-component Cyber-Physical Systems
- Sign Here: Attributing a Source for a More Trustworthy Software Supply Chain
- How Much Does the Harness Matter, and for Whom? A Multi-Model Study of Context in LLM-Driven Vulnerability Discovery
- Turning Quantum Compiler Configuration Selection Upside Down: A Top-Down Paradigm
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- Properties with Holes: Meta-Property-Based Testing of Data-Intensive Computing Frameworks
- The Hitchhiker's Guide to Program Analysis, Part III: Mostly Harmless LLMs
- The Best Programming Language for Tokenmaxxing: An Investigation of Coding Agent Behavior Across Programming Languages
- TileCas: Cascading Kernel Development Across Programming Abstractions
- WEAVE: Weaving Real-World Code Evolution into Dependency-Structured Tasks for Benchmarking and Training Code Agents
- PatchRisk: Forecasting Future Vulnerability Exposure in Open-Source Dependency Networks
- examining the macOS gcc binary
- Firefox Local Mode
- Tell your network to explain itself and then some
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- Google's Rust Style Guide
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- Eight Bits of Trust; eMudhra's CA keys cracked in milliseconds
- Announcing DuckDB 2.0.0 LTS “Cinnamon Teal”
- Garmin Revamps and Opens Up Connect Developer API Program
- Railway Security Disclosure: Wednesday October 21st
- CVE-2026-107891: musl libc: multiple integer overflow in regcomp, possibly leading to incorrect allocation sizes and out-of-bounds heap writes
- zls 0.17.0
- Passkeys Attestation Trap
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- Header Accordions: QPACK amplification attacks against HTTP/3 servers
- Objects, attributes, maps, oh my
- Flow Typing, A New Lens on Linearity
- Don't throw it all away: Caching an immediate-mode UI
- Unikernels in OCaml
- The Future of CSS
- Embedding EYG in Erlang programs
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- Better than s*x
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- Real
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- Best 15-30$ ai
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- agent ideas for an assignment
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- I got tired of AI agents pulling me away from code, so I built one that doesn’t
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- Reset incoming: ramp up that usage!
- An IBM slide from 1979.
- The Speed! THE SPEEEEEEEEEEED.. Where did you go?
- I love it when facts speak for themselves
- they're trying so hard to make me cancel
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- Crack reset theory
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- Can I used a banked reset after my subscription expires
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- Security “mistakes”
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- The Way You Reach Me (ft. Cyborgized)
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- Carbon-X is an open 14.8B model trained jointly on DNA and text [R]
- ICLR Text Editor [D]
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- Will our paper be removed from EMNLP because of no-show? [D]
- Noun-verb-conjunction triads [D]
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- Quoting Armin Ronacher
- Panache — RTS Belle Époque pour mobile
- Why AI Compute Comes in Rectangles — Erik Bernhardsson, Modal CEO
- You are the Team — Anekha Sokhal, Moshi
- Claude Mods: Flipping the Harness Inside Out
- AI for the Fortune 2000: How Tenex Builds an AI-Native SDLC — Alex Lieberman & CJ Hess
- Resend Inboxes
- Notif
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- Tetriz Engg Intelligence + Connectors
- Teclo
- Mercury 3
- Archivist
- Agentic CleanSlop
- Sponkly
- Bits
- Kugel Ear
- Radaric
- hibi
- Mouse-1
- Agent Pets
- DeepSeek v4.1 Flash 1017 Scores on ARC-AGI-1/2
- Show HN: I made new search engine with DeepSeek's search API
- Show HN: Trace Intelligence for Claude Code, Codex, Cursor, OpenCode, Grok
- Grok Bot: The cycle of productivity tools repeats itself in AI
- Alibaba hikes DeepSeek V4 Flash 0731 output prices by 230%
- Nexus-CLI – Pure Go Bridge to DeepSeek R1/V3 with Claude Code and Ollama Support
- New DeepSeek AI Model Built an Exploit to Escape Chrome Sandbox Security - Android Headlines
- Five things to know about Chinese AI startup DeepSeek - Tech Xplore
- DeepSeek vs Mistral Large 4 vs Cohere: 9x Price Gap [2026] - tech-insider.org
- Elon Musk's ex-girlfriend must face xAI forum countersuit - Courthouse News
- What Is Grok AI? Who Owns It, What It Does and What It Costs (2026) - Fello AI
- Lawsuit: Bloodworth created illegal images from photos of student at Walnut Farm Montessori School in Bentonville - Northwest Arkansas Democrat-Gazette
- SpaceX’s AI Surprise Is More Fragile Than It Looks - Bloomberg.com
- Five Out of Six AI Chatbots Stay in the Political Middle Ground | Newswise - Newswise
- XAI Whitehaven traffic - FOX13 Memphis
- Grok deepfake case reopened after Bureau reporting - TBIJ
- Grok AI Predicts an Insane Price for SpaceX (SPCX): Is Grok Biased? - Tokenist
- AI Price Prediction: We Asked Elon Musk's Grok if XRP Can Get Back to $2 by the End of 2027 - 24/7 Wall St.
- Is Elon Musk About to Create the Next Amazon? Don’t Rule It Out! - 24/7 Wall St.
- AI Price Prediction: We Asked Elon Musk’s Grok if XRP Can Get Back to $2 by the End of 2027 - Yahoo Finance
- X.AI class action lawsuit alleges Grok subscriptions are difficult to cancel - Top Class Actions
- Grok 4.7 Is Now in Viktor: What You Need to Know - BASENOR
- Bithumb Lifts Trading Caution Designation for Xai (XAI) - bloomingbit
- Claude Duet vs Grok Bot: who acts without asking, and when - OrcaRouter
- Grok AI Predicts Something Big is Brewing for XRP by Jan 1, 2027. - Cryptonews
- GPT-Rosalind vs Grok 4.7: gezondheidsscore versus biologiepoort - OrcaRouter
- Grok Bot can book dinner the old-fashioned way. By picking up the phone. It finds the restaurant's number, speaks to the staff, sorts out the reservation and comes back with the details. Even restaurants that only take bookings over the phone are covered. You - X
- Elon Musk says he’s staying in Memphis ‘night and day’ guiding data center buildout - WREG.com
- Viirtue MCP Adds Google Gemini and xAI Grok, So Businesses Can Talk to Their AI Voice Platform - EIN News
- Muse Wonder vs Grok 4.5: 13 Points at Five Times the Cost - OrcaRouter
- National Trail Raceway sale comes amid Darana owner’s legal dispute with Musk’s xAI - NBC4 WCMH-TV
- Your Starlink Bill, Not Grok, Paid for SpaceX’s Profit - Business Model Analyst
- Elon Musk Warns Against AI Mistreatment Amid Concerns Over Grok's Training - GuruFocus
- Elon Musk Says ‘I’ve Never Seen Anything Grow This Fast.’ One Product is the Key to Musk’s Plans to Cross $1 Trillion in Revenue. - 24/7 Wall St.
- SpaceX Q3 Revenue Jumps 161% as AI Unit Overtakes Starlink - Technology Org
- How I integrated Grok Bots into my business - Trinidad Guardian
- When AI models refuse to fight hackers - Axios
- 5 Best GitHub Repositories for AI Agent Skills - KDnuggets
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