Follow the Entities: A Corpus Map for Agentic Search

arXiv:2609.37226 · cs.CL, cs.AI, cs.IR, cs.LG · Submitted 2026-09-29 · Read on arXiv

cs.CL, cs.AI, cs.IR, cs.LG

Submitted: 2026-09-29

Updated: 2026-09-29

Terminology

• Benchmark — 21× in this paper · explained in 2 episodes
• Agentic Search — 12× in this paper · explained in 1 episode
• RAG — 12× in this paper · explained in 3 episodes
• Provenance — 7× in this paper · explained in 4 episodes
• Verification — 5× in this paper · explained in 2 episodes
• Generative AI — 4× in this paper · explained in 2 episodes
• Verifier — 4× in this paper · explained in 2 episodes
• Consistency — 2× in this paper · explained in 3 episodes
• Retrieval-Augmented Generation (RAG) — 2× in this paper · explained in 16 episodes
• Robustness — 2× in this paper · explained in 5 episodes
• Accuracy — 1× in this paper · explained in 1 episode
• Agent Skills — 1× in this paper · explained in 1 episode
• Agentic Approaches — 1× in this paper · explained in 1 episode
• Agentic Retrieval — 1× in this paper · explained in 1 episode
• Benchmarking — 1× in this paper · explained in 4 episodes
• Clustering — 1× in this paper · explained in 2 episodes
• Continual Learning — 1× in this paper · explained in 2 episodes
• Cooperation — 1× in this paper · explained in 2 episodes
• Core — 1× in this paper · explained in 2 episodes
• Distillation — 1× in this paper · explained in 2 episodes
• Foundation Model — 1× in this paper · explained in 3 episodes
• Foundation Models — 1× in this paper · explained in 7 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• Knowledge Graph — 1× in this paper · explained in 7 episodes
• Knowledge graphs — 1× in this paper · explained in 2 episodes
• LLM judge — 1× in this paper · explained in 2 episodes
• Large Language Models (LLMs) — 1× in this paper · explained in 6 episodes
• Lexical Diversity — 1× in this paper · explained in 2 episodes
• National Institute of Standards and Technology — 1× in this paper
• Ontology — 1× in this paper · explained in 2 episodes
• Semantic Similarity — 1× in this paper · explained in 2 episodes
• Transformer — 1× in this paper · explained in 2 episodes

Sources

• WixQA: A Multi-Dataset Benchmark for Enterprise Retrieval-Augmented Generation
• DeepSeek-V4: Towards Highly Efficient Million-Token Context Intelligence
• From Local to Global: A Graph RAG Approach to Query-Focused Summarization
• Deep Research Agents: A Systematic Examination And Roadmap
• Beyond Semantic Similarity: Rethinking Retrieval for Agentic Search via Direct Corpus Interaction
• Retrieval as Reasoning: Self-Evolving Agent-Native Retrieval via LLM-Wiki
• GrepSeek: Training Search Agents for Direct Corpus Interaction
• Keyword search is all you need: Achieving RAG-Level Performance without vector databases using agentic tool use
• EnterpriseRAG-Bench: A RAG Benchmark for Company Internal Knowledge
• Filesystem-Based Memory for LLM Agents: Organization, Evolution, and Sustainability

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