This page shows the most relevant public items for cog-rag, ranked by trend activity and review signal. Use weekly for fast changes, monthly for more stable patterns, and all-time for evergreen picks.
Paper • Mar 10, 2026 • arXiv • Md Nasir Uddin Shuvo, Md Aidul Islam, Md Mahade Hasan, Muhammad Waseem, Pekka Abrahamsson
This paper presents one of the first real-world experience reports of applying vibe coding in production environments. The authors analyze how LLM-based coding accelerates development while introdu...
Paper • Mar 9, 2026 • arXiv • Petar Radanliev, Carsten Maple, Omar Santos, Kayvan Atefi
This paper proposes an extension of Software Bill of Materials (SBOM) standards to support autonomous AI systems through a new concept called AIBOM. The framework captures dependencies, behaviors, ...
Paper • Mar 9, 2026 • Nature Digital Medicine • H. L. Goh
This study evaluates the use of agentic AI systems to generate personalized preventive healthcare plans in Singapore’s national healthcare program. The system autonomously analyzes patient data, me...
Blog • Feb 16, 2026 • Morph • Tejas Bhakta
This blog explores the transition from vibe coding to fully agentic engineering systems. It argues that simple prompt-driven coding is being replaced by autonomous agents capable of planning, execu...
Paper • Mar 2, 2026 • arXiv • S. Pothireddypalli, A. Gupta
This research introduces an agentic AI workflow for improving coverage closure in integrated circuit verification. The system uses LLM-powered agents to analyze verification coverage gaps and autom...
Paper • Mar 11, 2026 • arXiv • Juhee Kim, Xiaoyuan Liu, Zhun Wang, Shi Qiu, Bo Li, Wenbo Guo, Dawn Song
This comprehensive survey analyzes the emerging security landscape surrounding agentic AI systems capable of autonomous reasoning, tool usage, and multi-step decision-making. The authors categorize...
Paper • Mar 4, 2026 • arXiv • Furkan Mumcu, Yasin Yilmaz
This research investigates robustness issues in agentic AI systems where autonomous agents interact with dynamic environments and external tools. The authors introduce adversarially-aligned Jacobia...
Paper • Mar 6, 2026 • arXiv • Unknown
This paper proposes a schema-gated architecture that separates natural language reasoning from strict execution constraints in agentic AI systems. The framework allows large language models to gene...
Paper • Mar 7, 2026 • arXiv • Junming Liu, Yuqi Li, Shiping Wen, Zhigang Zeng, Tingwen Huang
Hit-RAG addresses a key challenge in long-context retrieval systems: attention dilution caused by large volumes of retrieved evidence. The framework introduces a multi-stage preference alignment pi...
Paper • Mar 3, 2026 • arXiv • S. Sahoo, R. Gupta
This paper proposes a governance framework for military AI agents capable of autonomous reasoning, planning, and execution. The authors identify six categories of governance failure that can occur ...
Blog • Feb 24, 2026 • Forbes • Forbes Technology Council
This article explores how vibe coding is reshaping the nature of work by shifting focus from implementation to outcomes. Developers increasingly define intent while AI systems handle execution. The...
Blog • Dec 22, 2025 • The New Stack • Richard MacManus
This article analyzes key AI engineering trends in 2025, highlighting the rise of vibe coding alongside agentic AI systems. It explains how developers are shifting from writing code to orchestratin...
Paper • Mar 10, 2026 • arXiv • B. Lou
This paper explores the structural shift toward human–agentic AI collaboration systems where autonomous agents participate in complex decision processes. It analyzes the uncertainty introduced by a...
Paper • Feb 7, 2026 • arXiv • Xingliang Hou, Yuyan Liu, Qi Sun, Haoxiu Wang, Hao Hu, Shaoyi Du, Zhiqiang Tian
IGMiRAG introduces a cognitive-inspired retrieval framework that simulates intuition-driven reasoning over hierarchical knowledge graphs. The system constructs a heterogeneous hypergraph to represe...
Paper • Feb 14, 2026 • arXiv • Rui Yu, Tianyi Wang, Ruixia Liu, Yinglong Wang
PT-RAG proposes a structure-aware retrieval framework designed specifically for long academic documents. Traditional RAG pipelines flatten documents into chunks, which destroys the natural hierarch...
It ranks public content for cog-rag using recent discussion, review, and engagement signals so you can triage faster. This guidance is specific to cog-rag topic page on Attendemia and is written so it still makes sense without reading other sections on the page.
Use weekly for fast-moving updates, monthly for stable trend confirmation, and all-time for evergreen references. This guidance is specific to cog-rag topic page on Attendemia and is written so it still makes sense without reading other sections on the page.
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