14 posts published in the last hour 12:33Effective Does Not Mean Useful: Conditional Functional Substitutability for Redundancy and Scaling in Transformers 12:33ANI: Adaptive Numerical Injection for Unifying Semantic and Arithmetic Representations in Numerical Reasoning 12:33Fyan: A Human–AI Harness with Semantic…
Effective Does Not Mean Useful: Conditional Functional Substitutability for Redundancy and Scaling in Transformers
arXiv:2609.39259v1 Announce Type: new Abstract: Modern neural networks scale predictably, yet the mechanisms behind these regularities remain unclear.…
ANI: Adaptive Numerical Injection for Unifying Semantic and Arithmetic Representations in Numerical Reasoning
arXiv:2609.39294v1 Announce Type: new Abstract: Precise numerical reasoning with Large Language Models (LLMs) is essential for expanding their…
Fyan: A Human–AI Harness with Semantic Auditing for Document-Level Formalization
arXiv:2609.39228v1 Announce Type: new Abstract: We present FYAN, a human–AI harness for document-level mathematical formalization. Rather than treating…
OpenAI says it stopped a campaign to steal its models’ reasoning, but the trick still worked on Azure
OpenAI says it stopped a coordinated campaign in which more than 15,000 accounts tried to copy the hidden reasoning of its models. The company ties part…
MiniRep: Robust Reputation-Based Aggregation for Multi-Agent Debate
arXiv:2609.39297v1 Announce Type: new Abstract: Autonomous agents powered by large language models (LLMs) are rapidly evolving into an open agentic…
Satlyt, founded by a former Google and SpaceX product manager, raises $8M to run AI on satellites
Satlyt wants to be the Android of orbital computing, offering open software that works on many companies’ satellites, versus SpaceX’s closed, all-in-one…
WorkGenesis: Building the Worlds That Teach Agents to Work
arXiv:2609.39325v1 Announce Type: new Abstract: The ability of Large Language Model (LLM) agents to complete daily and professional work is receiving…
Beyond the Remembered World: Predictive 4D Belief for Persistent Navigation in Evolving Worlds
arXiv:2609.39166v1 Announce Type: new Abstract: Persistent spatial memory enables embodied agents to navigate familiar environments across repeated…
Reinforcing Multimodal Reasoning via Token-Level Perception-Grounded Advantage Estimation
arXiv:2609.39168v1 Announce Type: new Abstract: Reinforcement Learning with Verifiable Rewards (RLVR) has improved the reasoning capabilities of…
Do Self-Evolving Skills Generalize to Held-Out Tasks?
arXiv:2609.39148v1 Announce Type: new Abstract: AI agents can externalize what they learn from past tasks into reusable \emph{skills}, such as procedures,…
Rep2Skill: Representation-Guided Skill Self-Evolution for LLM Agents
arXiv:2609.39149v1 Announce Type: new Abstract: Textual skills enable large language model (LLM) based agents to accumulate reusable procedural knowledge…
10 Python One-Liners That Will Make Your Code Cleaner and Faster
Get work done, and have seconds added back to your life since you won’t be writing second, third or — *gasp!* — fourth line follow-ups to your impeccable…
Learning Process Rewards via Reasoning State Propagation
arXiv:2609.39220v1 Announce Type: new Abstract: Process reward models (PRMs) have demonstrated notable effectiveness in test-time scaling and…
AI News Brief Hourly Summary 2026-10-01 14h : 11 posts
11 posts published in the last hour 11:33BELIEFRAG: Making Adaptive RAG State-Aware under Evolving Evidence 11:33MASCRDM: Multi-Agent System for Compliance Risk Detection and Mitigation in Training Process of Large Language Models 11:33Schema: Discovering Unknown Environments via Agentic Program Induction 11:33MADBench:…
BELIEFRAG: Making Adaptive RAG State-Aware under Evolving Evidence
arXiv:2609.39139v1 Announce Type: new Abstract: Adaptive RAG uses signals such as confidence, relevance, support, and retrieval quality to decide when to…
MASCRDM: Multi-Agent System for Compliance Risk Detection and Mitigation in Training Process of Large Language Models
arXiv:2609.39107v1 Announce Type: new Abstract: Large Language Models (LLMs) have been applied in various fields. However, ensuring compliance and safety…
Schema: Discovering Unknown Environments via Agentic Program Induction
arXiv:2609.39140v1 Announce Type: new Abstract: Learning to complete tasks in unfamiliar environments with unknown rules remains a key challenge for LLM…
