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# Paper: MODE-RAG: Manifold Outlier Diagnosis and Energy-based Retrieval-Augmented Generation Evaluation
---
type: paper
title: "MODE-RAG: Manifold Outlier Diagnosis and Energy-based Retrieval-Augmented Generation Evaluation"
authors: Zehang Wei, Jiaxin Dai, Jiamin Yan, Xiang Xiang
year: 2026
venue: arXiv
url: https://arxiv.org/abs/2606.17449
code_url:
source: arxiv
collected_at: 2026-07-08
published_at: 2026-06-16
updated_at: 2026-06-16
status: queued
relevance: high
topics:
- agent-evaluation
- agent-safety
- computer-use
- multi-agent
- rag
- reasoning
methods:
-
benchmarks:
-
models:
-
datasets:
- cs.CL
- cs.AI
- cs.CV
- cs.LG
- cs.MM
related_concepts:
-
related_jobs:
-
related_experiments:
-
related_projects:
-
collection_score: 15
collection_queries: rag-agent
---
## One-line Takeaway
Auto-collected from arXiv because it matched the Agent collection queries. Needs human skim.
## Why Collected
- matched queries: rag-agent
- inferred topics: agent-evaluation, agent-safety, computer-use, multi-agent, rag, reasoning
- arXiv categories: cs.CL, cs.AI, cs.CV, cs.LG, cs.MM
- collection score: 15
## Review Checklist
- Does this paper directly inform Agent architecture, evaluation, memory, tools, safety, coding agents, GUI/browser agents, or multi-agent workflows?
- Does it include a benchmark, dataset, code, or reproducible experimental setup?
- Should it be promoted from `queued` to `skimmed` or `summarized`?
## Links
- arXiv: https://arxiv.org/abs/2606.17449