RAG, Fine-Tuning & ContextSaroj Mishra et al.
Mishra et al. publish SoK: Agentic Retrieval-Augmented Generation
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Published SoK: Agentic Retrieval-Augmented Generation — formalizes the retrieval loop as a Markov decision process and catalogs vulnerabilities such as memory poisoning and retrieval misalignment
Why it matters
The first systematic taxonomy of agentic RAG. A reference point for follow-up research
Source — Primary sources first; secondary reports are labelled “Press”
Paperarxiv.orghttps://arxiv.org/abs/2603.07379Added in Week 35, 2026 · See that week
On the map — ② RAG, Fine-Tuning line
- Previous stopContext editing and memory tool launch in beta on the Claude API
- This record · stopMishra et al. publish SoK: Agentic Retrieval-Augmented Generation
- Next stopMartin and Roger publish Classifier Context Rot