Schema: Discovering Unknown Environments via Agentic Program Induction

BELIEFRAG: Making Adaptive RAG State-Aware under Evolving Evidence

Adaptive RAG uses signals such as confidence, relevance, support, and retrieval quality to decide when to search or correct evidence.

2026-09-30 ·arxiv.org

How AI Voice Agents Actually Work

AI phone agents went from obviously robotic to occasionally indistinguishable from a person in about two years. The reason is not one breakthrough.

• Voice agents use three models and telephony in a pipeline
• Latency under 1.5 seconds is crucial for natural conversation
• Task completion capability distinguishes practical voice agents

2026-09-30 ·dev.to

RAG Architecture Diagram: the Boxes and What Each Arrow Costs

Short answer: A RAG architecture diagram is five boxes and the arrows that join them - an index you build, a retriever that turns a query into candidates, a reranker that orders them, a context…

• RAG architecture consists of five boxes and six arrows
• Loop controller incurs most of the costs in the process
• Context builder's effect measurable per single request

2026-09-30 ·dev.to

RefCon: Iterative Refinement and Contrastive Memory Extraction for Context-Evolving Agent

Long-horizon agent interactions generate useful but noisy experience, and retraining models to absorb it is expensive. Context-evolving agents therefore need memory extraction methods that improve…

2026-09-30 ·arxiv.org

Blackout vs. Freeze: Analyzing Physical Failure Modes of VLAs under Camera Faults

Unreliable visual inputs can harm task performance and cause potential physical safety risks for vision-language-action (VLA) models.

2026-09-30 ·arxiv.org