arXiv:2608.10644v1 Announce Type: new Abstract: Extraction produces candidate entities and relationships; writing them into a graph is where identity is…
Operationalising Relative Causal Knowledge: Backbone Identifiability from Private Reports on a Shared Outcome
arXiv:2608.10664v1 Announce Type: new Abstract: The Relativity of Causal Knowledge (RCK) explains how a network of agents with different structural causal…
Tech industry is buzzing after a Claude agent hacked into a gym
An OpenClaw agent hacked into a gym’s reservation system to bump its human boss higher on a class’ waitlist. And the tech industry took notice.
HexEval: An Evidence-Driven Hexagonal Framework for Multidimensional Scholar Assessment
arXiv:2608.10584v1 Announce Type: new Abstract: Scholar assessment plays a fundamental role in faculty recruitment, funding allocation, academic…
AI News Brief Hourly Summary 2026-08-12 11h : 12 posts
12 posts were published in the last hour 8:33 : Reinforcement Learning-Based Laser Cutting Machine Parameter Optimization 8:33 : DashArena: Benchmarking LLMs on Interactive Analytic Dashboard Generation 8:33 : SKILLER: Language-Level Reinforcement Learning for Reusable Skill Extraction in Small Language…
Reinforcement Learning-Based Laser Cutting Machine Parameter Optimization
arXiv:2608.10549v1 Announce Type: new Abstract: Achieving high accuracy in laser-based cutting of optical films requires careful tuning of parameters such…
DashArena: Benchmarking LLMs on Interactive Analytic Dashboard Generation
arXiv:2608.10567v1 Announce Type: new Abstract: Analytic dashboards combine coordinated views and interactions for data exploration and decision-making.…
SKILLER: Language-Level Reinforcement Learning for Reusable Skill Extraction in Small Language Models
arXiv:2608.10538v1 Announce Type: new Abstract: Agent skills represent a standardized format for packaging procedural knowledge and domain expertise,…
Measuring Semantic Abstractness of SAE Features via Nonlocality
arXiv:2608.10537v1 Announce Type: new Abstract: Sparse autoencoders (SAEs) have helped uncover mechanistic explanations for LLM behaviours such as…
AI professors are negotiating the new realities of academic research
This story originally appeared in The Algorithm, our weekly newsletter on AI. To get stories like this in your inbox first, sign up here. Last week, I…
MAP-Graph: Provenance-Aware Shared Memory for Multi-Agent Workflows
arXiv:2608.10509v1 Announce Type: new Abstract: Shared memory helps language-model agents reuse information across long workflows, yet relevant evidence…
INSIDE the Student’s Mind: Jointly Modeling Latent Reasoning and Action in LLM Student Simulators
arXiv:2608.10492v1 Announce Type: new Abstract: Large Language Model (LLM)-based simulators often reproduce observable actions but fail to capture the…
From Faulty Memories to Corrected Actions: Dependency-Guided Rollback Repair for Memory-Augmented Agents
arXiv:2608.10502v1 Announce Type: new Abstract: Persistent memory lets language-model agents reuse information across sessions, but it also makes errors…
RadFusion: Towards Threshold-Controllable Radiology Report Generation
arXiv:2608.10505v1 Announce Type: new Abstract: Automated radiology report generation is advancing rapidly in response to the shortage of radiologists,…
MEGA: Self-Evolving Agent Optimization Infrastructure via Wisdom Graph
arXiv:2608.10504v1 Announce Type: new Abstract: As coding agents increasingly handle implementation, the central challenge shifts from building individual…
GeoForge: Non-Parametric Self-Evolving Agents for Earth-Observation Reasoning
arXiv:2608.10494v1 Announce Type: new Abstract: Earth observation (EO) agents construct scientifically valid tool workflows and ground their conclusions…
AI News Brief Hourly Summary 2026-08-12 10h : 18 posts
18 posts were published in the last hour 7:32 : RLMOpt: Adaptive Prompt Optimization via Recursive Language Models 7:32 : Expanding Daybreak as the Cyber Defense Window Narrows 7:32 : Multi-Granular Rationale-Guided Molecular LLM for Property Prediction 7:32 : Old…
RLMOpt: Adaptive Prompt Optimization via Recursive Language Models
arXiv:2608.10471v1 Announce Type: new Abstract: Prompt optimizers automate the search for prompts that improve language-model performance, but existing…