arXiv:2608.00422v2 Announce Type: replace Abstract: Large language models (LLMs) can generate fluent reasoning traces that nevertheless lead to incorrect…
Euclid-MCP: A Model Context Protocol Server for Deterministic Logical Reasoning via Prolog
arXiv:2607.21412v2 Announce Type: replace Abstract: Large Language Models (LLMs) excel at natural language understanding and generation but remain…
AttriMem: Attribution-Guided Process Feedback for Agent Memory Construction
arXiv:2607.21106v3 Announce Type: replace Abstract: Effective memory is crucial for LLM agents, yet constructing it effectively remains challenging. A…
EviBack: Search-Agent Reinforcement Learning via Evidence-Constrained Teacher Backoff
arXiv:2607.23955v3 Announce Type: replace Abstract: Reinforcement learning enables Agentic RAG systems to learn multi-turn search from verifiable outcome…
Learning and Structurally Validating Simulation Scenario Continuations in Dynamic Graph Systems
arXiv:2607.21421v2 Announce Type: replace Abstract: Data-driven generative models can extend partially observed simulation trajectories into ensembles of…
Measure the Sim-to-Real Gap: Designing an Affordable Real-World Benchmark Platform for Reinforcement Learning in AIoT Systems
arXiv:2607.10309v2 Announce Type: replace Abstract: Reinforcement learning (RL) is commonly employed to enhance the performance of autonomous systems,…
Coachable agents for interactive gameplay
arXiv:2607.00642v2 Announce Type: replace Abstract: Reinforcement learning has proven to be a valuable tool in the creation of advanced AI and robotic…
ReMMD: Realistic Multilingual Multi-Image Agentic Verification for Multimodal Misinformation Detection
arXiv:2606.24112v2 Announce Type: replace Abstract: Multimodal misinformation detection is increasingly important because viral posts now combine long…
SAE-StatSteer: Statistical Consensus Feature Selection for Optimization-Free Activation Steering of Large Language Models
arXiv:2607.19364v2 Announce Type: replace Abstract: Activation steering adds a residual-stream direction at inference time, providing lightweight…
OpenAI lets employees cash out another $7 billion in stock
OpenAI wrapped up a $7 billion stock buyback, letting current and former employees sell shares at the company’s $852 billion valuation. The move is meant…
UPAIR: Diagnosing Reasoning States via Uncertainty-Progress Alignment for Selective Intervention
arXiv:2607.17188v2 Announce Type: replace Abstract: While test-time scaling improves the problem-solving ability of large reasoning models (LRMs) through…
AI News Brief Hourly Summary 2026-08-13 05h : 14 posts
14 posts were published in the last hour 2:32 : AXIOM: A Trust-First Neuro-Symbolic Execution Architecture for Self-Explaining Mathematical Reasoning 2:32 : From Talking to Singing: A New Challenge for Audio-Visual Deepfake Detection 2:32 : A case study of evaluating…
AXIOM: A Trust-First Neuro-Symbolic Execution Architecture for Self-Explaining Mathematical Reasoning
arXiv:2606.00671v2 Announce Type: replace Abstract: We present AXIOM, a trust-first neuro-symbolic architecture for natural-language mathematical…
From Talking to Singing: A New Challenge for Audio-Visual Deepfake Detection
arXiv:2605.27944v2 Announce Type: replace Abstract: With rapid advances in audio-visual generative models, reliable forgery detection becomes increasingly…
A case study of evaluating AI agents on a neuroscience data-to-discovery pipeline
arXiv:2606.07718v2 Announce Type: replace Abstract: Agentic AI offers a promising path to automating software development bottlenecks in scientific…
When Agent Automation Becomes Profitable: Quantifying and Insuring Autonomous AI Risk through Trace-Economic Underwriting
arXiv:2606.16465v2 Announce Type: replace Abstract: AI agents can now take irreversible actions in operational systems, but agent-caused losses are still…
Brad Lightcap, OpenAI’s longtime COO, is leaving to ‘start something new’
One of OpenAI’s longest-serving executives is headed out the door, although the longtime COO told staff that he was “excited to help you all advance the…
A Methodology for Selecting and Composing Runtime Architecture Patterns for Production LLM Agents
arXiv:2605.20173v2 Announce Type: replace Abstract: Production LLM agents combine stochastic model outputs with deterministic software systems, yet the…