Paper Citation Record · LEDGER

Retrieval Augmented Generation Evaluation in the Era of Large Language Models: A Comprehensive Survey

As of 19 August 2026, this Paper Citation Record lists 100 of 133 outbound references and 10 inbound Pith citation observations for arXiv:2504.14891.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2504.14891 v1

Coverage vector

measured 100 of 133 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:40:41.825536Z

measured 110 of 110 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:44:23.275355Z

measured 1 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

100 of 133 outbound references displayed

verified exact1
verified fuzzy9
unresolved90
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

33
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation dad587a4-30ca-40ac-97d9-9c774932ea9e · outbound

This paper cites HippoRAG: Neurobiologically Inspired Long-Term Memory for Large Language Models.

Retrieval Augmented Generation Evaluation in the Era of Large Language Models: A Comprehensive Survey HippoRAG: Neurobiologically Inspired Long-Term Memory for Large Language Models

Reference 2

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Observation b0448fab-8836-4ece-93dc-06854cc8b7c6 · outbound

This paper cites Merg- ing Generated and Retrieved Knowledge for Open-Domain QA.

Retrieval Augmented Generation Evaluation in the Era of Large Language Models: A Comprehensive Survey Merg- ing Generated and Retrieved Knowledge for Open-Domain QA

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-16T11:40:41.458091Z

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Observation 4f1ea2bb-0e7b-471c-acbc-ac563ddbb268 · outbound

This paper cites LLM Lies: Hallucinations are not Bugs, but Features as Adversarial Examples.

Retrieval Augmented Generation Evaluation in the Era of Large Language Models: A Comprehensive Survey LLM Lies: Hallucinations are not Bugs, but Features as Adversarial Examples

Reference 4

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Observation 7ac94b54-bf8e-4b60-ad7a-a5e818b9acfb · outbound

This paper cites Text Embeddings by Weakly-Supervised Contrastive Pre-training.

Retrieval Augmented Generation Evaluation in the Era of Large Language Models: A Comprehensive Survey Text Embeddings by Weakly-Supervised Contrastive Pre-training

Reference 5

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Observation d002a602-b9f4-4389-9c3a-90c8abab0a7a · outbound

This paper cites The probabilistic relevance frame- work: Bm25 and beyond.

Retrieval Augmented Generation Evaluation in the Era of Large Language Models: A Comprehensive Survey The probabilistic relevance frame- work: Bm25 and beyond

Reference 6

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Observation 8ecbbb8c-aae9-4d3d-bc26-3b70cbd8ff69 · outbound

This paper cites MultiHop-RAG: Benchmarking Retrieval-Augmented Generation for Multi-Hop Queries.

Retrieval Augmented Generation Evaluation in the Era of Large Language Models: A Comprehensive Survey MultiHop-RAG: Benchmarking Retrieval-Augmented Generation for Multi-Hop Queries

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-16T11:40:41.473196Z

Source-reported events for the cited work

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Observation 50aab886-f429-4bcb-a8a8-db7567f9719d · outbound

This paper cites Think-on-graph: Deep and responsible reasoning of large language model with knowledge graph.

Retrieval Augmented Generation Evaluation in the Era of Large Language Models: A Comprehensive Survey Think-on-graph: Deep and responsible reasoning of large language model with knowledge graph

Reference 8

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Observation 29fe85f7-1747-42ff-bcf3-dc910bee92b2 · outbound

This paper cites Retrieval-Augmented Generation for Large Language Models: A Survey.

Retrieval Augmented Generation Evaluation in the Era of Large Language Models: A Comprehensive Survey Retrieval-Augmented Generation for Large Language Models: A Survey

Reference 9

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Observation b557f980-d4fe-46e7-947d-b707f0313b17 · outbound

This paper cites Language mod- els are few-shot learners.

Retrieval Augmented Generation Evaluation in the Era of Large Language Models: A Comprehensive Survey Language mod- els are few-shot learners

Reference 10

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Observation 6dd47799-f6cd-4df1-be05-58e43f465ee4 · outbound

This paper cites A Survey of Large Language Models.

Retrieval Augmented Generation Evaluation in the Era of Large Language Models: A Comprehensive Survey A Survey of Large Language Models

Reference 11

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Observation be2548ed-d28e-4422-88e0-7ad21db20c66 · outbound

This paper cites From task structures to world models: what do llms know? Trends in Cognitive Sciences, 2024.

Retrieval Augmented Generation Evaluation in the Era of Large Language Models: A Comprehensive Survey From task structures to world models: what do llms know? Trends in Cognitive Sciences, 2024

Reference 12

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Observation 732c1dec-53e4-44b2-bfbf-e79abe1a3e3e · outbound

This paper cites Instruction tuning for large language models: A survey.

Retrieval Augmented Generation Evaluation in the Era of Large Language Models: A Comprehensive Survey Instruction tuning for large language models: A survey

Reference 13

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Observation 5097a99d-b5cb-40dc-ac38-a573db7513f5 · outbound

This paper cites Towards Signal Processing In Large Language Models.

Retrieval Augmented Generation Evaluation in the Era of Large Language Models: A Comprehensive Survey Towards Signal Processing In Large Language Models

Reference 14

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Observation c476e1b5-3e75-4efe-9f6b-7044e4dbda91 · outbound

This paper cites Llm-rec: Personalized recommendation via prompting large language models.

Retrieval Augmented Generation Evaluation in the Era of Large Language Models: A Comprehensive Survey Llm-rec: Personalized recommendation via prompting large language models

Reference 15

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Observation 2c4affe6-60f5-4dcc-bc6b-3d05adea9d77 · outbound

This paper cites When scaling meets llm fine- tuning: The e ffect of data, model and finetuning method.

Retrieval Augmented Generation Evaluation in the Era of Large Language Models: A Comprehensive Survey When scaling meets llm fine- tuning: The e ffect of data, model and finetuning method

Reference 16

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Source-reported events for the cited work

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Observation 272456b7-ee23-42c4-8c07-7248d945f087 · outbound

This paper cites Prompt programming for large language models: Beyond the few-shot paradigm.

Retrieval Augmented Generation Evaluation in the Era of Large Language Models: A Comprehensive Survey Prompt programming for large language models: Beyond the few-shot paradigm

Reference 17

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Observation 128c153d-8da7-4654-9ac1-f42636274077 · outbound

This paper cites Chain-of-thought prompting elicits reasoning in large lan- guage models.

Retrieval Augmented Generation Evaluation in the Era of Large Language Models: A Comprehensive Survey Chain-of-thought prompting elicits reasoning in large lan- guage models

Reference 18

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Observation dcdf14c1-451c-483d-915c-d1b964b4ff2e · outbound

This paper cites A Survey on Retrieval-Augmented Text Generation for Large Language Models.

Retrieval Augmented Generation Evaluation in the Era of Large Language Models: A Comprehensive Survey A Survey on Retrieval-Augmented Text Generation for Large Language Models

Reference 19

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Observation 1e6e05ac-0c02-46a0-a088-4ae54c9c044c · outbound

This paper cites Trustworthiness in Retrieval-Augmented Generation Systems: A Survey.

Retrieval Augmented Generation Evaluation in the Era of Large Language Models: A Comprehensive Survey Trustworthiness in Retrieval-Augmented Generation Systems: A Survey

Reference 20

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Observation 5f279093-cc05-4e03-9d36-80ac9c16a486 · outbound

This paper cites Evaluation of retrieval- augmented generation: A survey.

Retrieval Augmented Generation Evaluation in the Era of Large Language Models: A Comprehensive Survey Evaluation of retrieval- augmented generation: A survey

Reference 21

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Observation e3ba28ba-3f72-460d-a0df-4fa5f67b618e · outbound

This paper cites Retrieval-augmented generation for knowledge-intensive nlp tasks.

Retrieval Augmented Generation Evaluation in the Era of Large Language Models: A Comprehensive Survey Retrieval-augmented generation for knowledge-intensive nlp tasks

Reference 22

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Observation 2a859684-ba55-42bd-9a38-a5b4afe7382d · outbound

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Retrieval Augmented Generation Evaluation in the Era of Large Language Models: A Comprehensive Survey A Survey on Retrieval-Augmented Text Generation

Reference 23

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Observation 183d373c-4d3b-4912-8979-1493823d04eb · outbound

This paper cites Wizard of Wikipedia: Knowledge-Powered Conversational agents.

Retrieval Augmented Generation Evaluation in the Era of Large Language Models: A Comprehensive Survey Wizard of Wikipedia: Knowledge-Powered Conversational agents

Reference 24

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Observation ace7a4f4-5d57-477d-8618-32ccda58d6fa · outbound

This paper cites Conversing by reading: Contentful neural conversation with on- demand machine reading.

Retrieval Augmented Generation Evaluation in the Era of Large Language Models: A Comprehensive Survey Conversing by reading: Contentful neural conversation with on- demand machine reading

Reference 25

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Observation e5d7b6e5-5d0f-4280-a126-9d81ad8fccbd · outbound

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Retrieval Augmented Generation Evaluation in the Era of Large Language Models: A Comprehensive Survey Information retrieval on the web

Reference 26

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Observation f86ebb2e-7a05-49bd-8d17-d32e81fe7b0e · outbound

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Retrieval Augmented Generation Evaluation in the Era of Large Language Models: A Comprehensive Survey Generative multi-hop retrieval

Reference 27

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This paper cites Deep learning based recommender system: A survey and new perspectives.

Retrieval Augmented Generation Evaluation in the Era of Large Language Models: A Comprehensive Survey Deep learning based recommender system: A survey and new perspectives

Reference 28

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Observation 4e76bc3b-5e95-4124-b922-cd8c73b87574 · outbound

This paper cites Generative Recommendation: Towards Next-generation Recommender Paradigm.

Retrieval Augmented Generation Evaluation in the Era of Large Language Models: A Comprehensive Survey Generative Recommendation: Towards Next-generation Recommender Paradigm

Reference 29

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Observation cc6a0fc8-fa00-4d65-82ba-63dae40c8dc6 · outbound

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Retrieval Augmented Generation Evaluation in the Era of Large Language Models: A Comprehensive Survey Dense passage retrieval for open-domain question answering

Reference 30

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Observation 8aba520c-b55b-4d9c-a627-595a60d04a7d · outbound

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Retrieval Augmented Generation Evaluation in the Era of Large Language Models: A Comprehensive Survey Programmable Search Engine | Google for Developers, 2024

Reference 31

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Observation d1be0018-7241-46f7-9cc7-672c426c7992 · outbound

This paper cites Financial Report Chunking for Effective Retrieval Augmented Generation.

Retrieval Augmented Generation Evaluation in the Era of Large Language Models: A Comprehensive Survey Financial Report Chunking for Effective Retrieval Augmented Generation

Reference 32

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Observation 54a7cd77-79ba-400f-a60d-63ece5360ca4 · outbound

This paper cites A sur- vey on rag meeting llms: Towards retrieval-augmented large language models.

Retrieval Augmented Generation Evaluation in the Era of Large Language Models: A Comprehensive Survey A sur- vey on rag meeting llms: Towards retrieval-augmented large language models

Reference 33

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Observation 82e4eea6-3a8e-4204-9991-7a9f08f56ad0 · outbound

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Retrieval Augmented Generation Evaluation in the Era of Large Language Models: A Comprehensive Survey ChunkRAG: Novel LLM-Chunk Filtering Method for RAG Systems

Reference 34

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Retrieval Augmented Generation Evaluation in the Era of Large Language Models: A Comprehensive Survey M3-embedding: Multi-linguality, multi-functionality, multi-granularity text embeddings through self- knowledge distillation

Reference 35

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Retrieval Augmented Generation Evaluation in the Era of Large Language Models: A Comprehensive Survey Generation- augmented retrieval for open-domain question answering

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Retrieval Augmented Generation Evaluation in the Era of Large Language Models: A Comprehensive Survey Leveraging QA datasets to improve generative data augmentation

Reference 37

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Retrieval Augmented Generation Evaluation in the Era of Large Language Models: A Comprehensive Survey The faiss library

Reference 39

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Retrieval Augmented Generation Evaluation in the Era of Large Language Models: A Comprehensive Survey Enhancing RAG Pipelines in Haystack: Introducing DiversityRanker and LostInTheMiddleRanker, August 2023

Reference 40

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Retrieval Augmented Generation Evaluation in the Era of Large Language Models: A Comprehensive Survey Graph of thoughts: Solving elaborate problems with large language models

Reference 41

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Retrieval Augmented Generation Evaluation in the Era of Large Language Models: A Comprehensive Survey Learning to reason and memorize with self-notes

Reference 42

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This paper cites Rephrase and respond: Let large language models ask better questions for themselves.

Retrieval Augmented Generation Evaluation in the Era of Large Language Models: A Comprehensive Survey Rephrase and respond: Let large language models ask better questions for themselves

Reference 43

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Retrieval Augmented Generation Evaluation in the Era of Large Language Models: A Comprehensive Survey Survey on Factuality in Large Language Models: Knowledge, Retrieval and Domain-Specificity

Reference 44

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Retrieval Augmented Generation Evaluation in the Era of Large Language Models: A Comprehensive Survey Retrieval-augmented generation for ai-generated content: A survey

Reference 45

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Retrieval Augmented Generation Evaluation in the Era of Large Language Models: A Comprehensive Survey A Survey on Knowledge-Oriented Retrieval-Augmented Generation

Reference 46

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Retrieval Augmented Generation Evaluation in the Era of Large Language Models: A Comprehensive Survey Cumulated gain-based evaluation of ir tech- niques

Reference 47

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This paper cites Time warps, string edits, and macro- molecules: the theory and practice of sequence comparison.

Retrieval Augmented Generation Evaluation in the Era of Large Language Models: A Comprehensive Survey Time warps, string edits, and macro- molecules: the theory and practice of sequence comparison

Reference 48

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Retrieval Augmented Generation Evaluation in the Era of Large Language Models: A Comprehensive Survey A normalized levenshtein distance metric

Reference 49

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Retrieval Augmented Generation Evaluation in the Era of Large Language Models: A Comprehensive Survey ROUGE: A package for automatic evaluation of summaries

Reference 50

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Retrieval Augmented Generation Evaluation in the Era of Large Language Models: A Comprehensive Survey Bleu: a method for auto- matic evaluation of machine translation

Reference 51

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Retrieval Augmented Generation Evaluation in the Era of Large Language Models: A Comprehensive Survey Meteor: An automatic metric for mt evaluation with improved correlation with human judgments

Reference 52

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Retrieval Augmented Generation Evaluation in the Era of Large Language Models: A Comprehensive Survey BERTScore: Evaluating Text Generation with BERT

Reference 53

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Retrieval Augmented Generation Evaluation in the Era of Large Language Models: A Comprehensive Survey A System for Comprehensive Assessment of RAG Frameworks

Reference 54

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Retrieval Augmented Generation Evaluation in the Era of Large Language Models: A Comprehensive Survey OCR Hinders RAG: Evaluating the Cascading Impact of OCR on Retrieval-Augmented Generation

Reference 55

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Retrieval Augmented Generation Evaluation in the Era of Large Language Models: A Comprehensive Survey FreshLLMs: Refreshing large language models with search engine augmentation

Reference 56

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Retrieval Augmented Generation Evaluation in the Era of Large Language Models: A Comprehensive Survey Chunk smarter, retrieve better: Enhancing llms in finance: An empirical comparison of chunking techniques in retrieval augmented generation for financial reports

Reference 57

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This paper cites The Chronicles of RAG: The Retriever, the Chunk and the Generator.

Retrieval Augmented Generation Evaluation in the Era of Large Language Models: A Comprehensive Survey The Chronicles of RAG: The Retriever, the Chunk and the Generator

Reference 58

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Observation de1be2e9-6b51-4bf1-87a2-84bc60264ed1 · outbound

This paper cites MTEB: Massive Text Embedding Benchmark.

Retrieval Augmented Generation Evaluation in the Era of Large Language Models: A Comprehensive Survey MTEB: Massive Text Embedding Benchmark

Reference 59

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Retrieval Augmented Generation Evaluation in the Era of Large Language Models: A Comprehensive Survey Mmteb: Massive multilingual text embedding benchmark

Reference 60

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This paper cites Ragas: Automated evalua- tion of retrieval augmented generation.

Retrieval Augmented Generation Evaluation in the Era of Large Language Models: A Comprehensive Survey Ragas: Automated evalua- tion of retrieval augmented generation

Reference 61

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Retrieval Augmented Generation Evaluation in the Era of Large Language Models: A Comprehensive Survey Best practices for llm eval- uation of rag applications (2023)

Reference 62

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Observation cd40c1a2-7e53-4b0c-a551-fa4349f80cf4 · outbound

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Retrieval Augmented Generation Evaluation in the Era of Large Language Models: A Comprehensive Survey Spaghetti: Open-domain question answering from heterogeneous data sources with retrieval and semantic parsing

Reference 63

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Observation 316bc756-5156-49b8-bf9e-f43768f87c60 · outbound

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Retrieval Augmented Generation Evaluation in the Era of Large Language Models: A Comprehensive Survey Optimizing rag systems for technical support with llm-based relevance feedback and multi-agent patterns

Reference 64

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Observation 197a2d92-2935-48f6-87b9-9b7abff35c93 · outbound

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Retrieval Augmented Generation Evaluation in the Era of Large Language Models: A Comprehensive Survey Gorilla: Large language model connected with massive apis

Reference 65

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Observation 8abc57f6-95b8-4c4b-b800-8ac2fe8d6891 · outbound

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Retrieval Augmented Generation Evaluation in the Era of Large Language Models: A Comprehensive Survey Seper: Measure retrieval util- ity through the lens of semantic perplexity reduction

Reference 66

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Retrieval Augmented Generation Evaluation in the Era of Large Language Models: A Comprehensive Survey Long2rag: Evalu- ating long-context & long-form retrieval-augmented generation with key point recall

Reference 67

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Observation e501301e-b8fe-44cf-8653-b2c3591d3bc6 · outbound

This paper cites Unraveling and mitigating retriever inconsistencies in retrieval-augmented large language mod- els.

Retrieval Augmented Generation Evaluation in the Era of Large Language Models: A Comprehensive Survey Unraveling and mitigating retriever inconsistencies in retrieval-augmented large language mod- els

Reference 68

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Observation c8eb5897-72be-47f2-8e7b-92bf22384f17 · outbound

This paper cites Factscore: Fine-grained atomic evaluation of factual precision in long form text generation.

Retrieval Augmented Generation Evaluation in the Era of Large Language Models: A Comprehensive Survey Factscore: Fine-grained atomic evaluation of factual precision in long form text generation

Reference 69

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Observation 9dfa1e62-2e65-48fa-8cf5-9501155bf8c4 · outbound

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Retrieval Augmented Generation Evaluation in the Era of Large Language Models: A Comprehensive Survey VERISCORE: Evaluating the factuality of verifiable claims in long-form text generation

Reference 70

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Observation 90cce5cc-da05-409e-b352-e9a0e0a1b11f · outbound

This paper cites Controlling risk of retrieval-augmented generation: A counterfactual prompting frame- work.

Retrieval Augmented Generation Evaluation in the Era of Large Language Models: A Comprehensive Survey Controlling risk of retrieval-augmented generation: A counterfactual prompting frame- work

Reference 71

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Observation d41c9ea3-afef-4c98-ae04-f3226be0f019 · outbound

This paper cites Gptscore: Evaluate as you desire.

Retrieval Augmented Generation Evaluation in the Era of Large Language Models: A Comprehensive Survey Gptscore: Evaluate as you desire

Reference 72

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Observation 531ae1bb-4ed6-42c6-b493-9f3bfaf0cbca · outbound

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Retrieval Augmented Generation Evaluation in the Era of Large Language Models: A Comprehensive Survey Ares: An automated evaluation framework for retrieval-augmented generation systems

Reference 73

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Observation 34227b41-a1fd-4a3c-b685-80b5dbc492ac · outbound

This paper cites Thrust: Adaptively propels large language models with external knowledge.

Retrieval Augmented Generation Evaluation in the Era of Large Language Models: A Comprehensive Survey Thrust: Adaptively propels large language models with external knowledge

Reference 74

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This paper cites An information bottleneck perspective for e ffec- tive noise filtering on retrieval-augmented generation.

Retrieval Augmented Generation Evaluation in the Era of Large Language Models: A Comprehensive Survey An information bottleneck perspective for e ffec- tive noise filtering on retrieval-augmented generation

Reference 75

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Observation cc3e21f7-aec5-4ec6-9ca4-fe778fa78148 · outbound

This paper cites On the Role of Long-tail Knowledge in Retrieval Augmented Large Language Models.

Retrieval Augmented Generation Evaluation in the Era of Large Language Models: A Comprehensive Survey On the Role of Long-tail Knowledge in Retrieval Augmented Large Language Models

Reference 76

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Observation 6f1821d4-b14e-47c0-8afa-e18e246d2630 · outbound

This paper cites Re- deep: Detecting hallucination in retrieval-augmented generation via mechanistic interpretability.

Retrieval Augmented Generation Evaluation in the Era of Large Language Models: A Comprehensive Survey Re- deep: Detecting hallucination in retrieval-augmented generation via mechanistic interpretability

Reference 77

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Observation f329c5a8-f09f-4969-be13-5c680ccf67e6 · outbound

This paper cites RECALL: A Benchmark for LLMs Robustness against External Counterfactual Knowledge.

Retrieval Augmented Generation Evaluation in the Era of Large Language Models: A Comprehensive Survey RECALL: A Benchmark for LLMs Robustness against External Counterfactual Knowledge

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-16T11:40:41.734750Z

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Observation fc3e44b6-751d-4939-b65b-8c573741c2f7 · outbound

This paper cites How Easily do Irrelevant Inputs Skew the Responses of Large Language Models?.

Retrieval Augmented Generation Evaluation in the Era of Large Language Models: A Comprehensive Survey How Easily do Irrelevant Inputs Skew the Responses of Large Language Models?

Reference 79

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Observation fed51c20-d4a3-442e-afbd-3b5434482e24 · outbound

This paper cites SafeRAG: Benchmarking Security in Retrieval-Augmented Generation of Large Language Model.

Retrieval Augmented Generation Evaluation in the Era of Large Language Models: A Comprehensive Survey SafeRAG: Benchmarking Security in Retrieval-Augmented Generation of Large Language Model

Reference 80

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Observation ff7206e4-cfc3-4522-b399-1a776b5944f9 · outbound

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Retrieval Augmented Generation Evaluation in the Era of Large Language Models: A Comprehensive Survey C-rag: Certified genera- tion risks for retrieval-augmented language models

Reference 81

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Observation bf65e77d-f687-4d55-b8b9-3be47eb655fa · outbound

This paper cites xRAG: Extreme Context Compression for Retrieval-augmented Generation with One Token.

Retrieval Augmented Generation Evaluation in the Era of Large Language Models: A Comprehensive Survey xRAG: Extreme Context Compression for Retrieval-augmented Generation with One Token

Reference 82

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Observation 51528f03-8114-4ee3-89c6-92f4ea61b2c8 · outbound

This paper cites Self-rag: Learning to re- trieve, generate, and critique through self-reflection.

Retrieval Augmented Generation Evaluation in the Era of Large Language Models: A Comprehensive Survey Self-rag: Learning to re- trieve, generate, and critique through self-reflection

Reference 83

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Observation 173e2d90-7456-47a7-8a96-d461ae914ab2 · outbound

This paper cites Interleav- ing retrieval with chain-of-thought reasoning for knowledge-intensive multi-step questions.

Retrieval Augmented Generation Evaluation in the Era of Large Language Models: A Comprehensive Survey Interleav- ing retrieval with chain-of-thought reasoning for knowledge-intensive multi-step questions

Reference 84

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Observation 75438bea-f8a6-41f5-9f90-267567a1a17b · outbound

This paper cites Benchmarking large language mod- els in retrieval-augmented generation.

Retrieval Augmented Generation Evaluation in the Era of Large Language Models: A Comprehensive Survey Benchmarking large language mod- els in retrieval-augmented generation

Reference 85

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Observation 01b79e01-c451-442b-931a-7c8e0cabfc80 · outbound

This paper cites PoisonedRAG: Knowledge Corruption Attacks to Retrieval-Augmented Generation of Large Language Models.

Retrieval Augmented Generation Evaluation in the Era of Large Language Models: A Comprehensive Survey PoisonedRAG: Knowledge Corruption Attacks to Retrieval-Augmented Generation of Large Language Models

Reference 86

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Observation 0e01d504-c607-4e9c-b12b-fe1c1033bbfd · outbound

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Retrieval Augmented Generation Evaluation in the Era of Large Language Models: A Comprehensive Survey HijackRAG: Hijacking Attacks against Retrieval-Augmented Large Language Models

Reference 87

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Observation 7d14b035-680b-4e44-9afb-a98a1285e023 · outbound

This paper cites Machine Against the RAG: Jamming Retrieval-Augmented Generation with Blocker Documents.

Retrieval Augmented Generation Evaluation in the Era of Large Language Models: A Comprehensive Survey Machine Against the RAG: Jamming Retrieval-Augmented Generation with Blocker Documents

Reference 89

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Observation d499dacd-9795-4cac-b929-8e5549d1c583 · outbound

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Retrieval Augmented Generation Evaluation in the Era of Large Language Models: A Comprehensive Survey The good and the bad: Exploring privacy issues in retrieval-augmented generation (rag)

Reference 90

Resolution: unresolved; no resolver link, observed 2026-08-16T11:40:41.779066Z

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Observation d56d1dde-ec97-4420-bfca-e7fe0ae8d995 · outbound

This paper cites TrojanRAG: Retrieval-Augmented Generation Can Be Backdoor Driver in Large Language Models.

Retrieval Augmented Generation Evaluation in the Era of Large Language Models: A Comprehensive Survey TrojanRAG: Retrieval-Augmented Generation Can Be Backdoor Driver in Large Language Models

Reference 91

Resolution: unresolved; no resolver link, observed 2026-08-16T11:40:41.782598Z

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Observation d05adba8-0c19-4203-99e8-af85ef37c068 · outbound

This paper cites Phantom: General trigger at- tacks on retrieval augmented language generation.

Retrieval Augmented Generation Evaluation in the Era of Large Language Models: A Comprehensive Survey Phantom: General trigger at- tacks on retrieval augmented language generation

Reference 92

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Observation 077f8238-2255-4d51-b122-f44f2e45104f · outbound

This paper cites Red teaming language models with language models, 2022.

Retrieval Augmented Generation Evaluation in the Era of Large Language Models: A Comprehensive Survey Red teaming language models with language models, 2022

Reference 93

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:40:43.110029Z

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Observation d1f7488d-a107-4a72-9aa2-44384125ffea · outbound

This paper cites FairRAG: Fair Human Generation via Fair Retrieval Augmentation.

Retrieval Augmented Generation Evaluation in the Era of Large Language Models: A Comprehensive Survey FairRAG: Fair Human Generation via Fair Retrieval Augmentation

Reference 94

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Observation f4d58f8f-6118-45da-8dc3-90e98f79e55b · outbound

This paper cites Metacognitive retrieval- augmented large language models.

Retrieval Augmented Generation Evaluation in the Era of Large Language Models: A Comprehensive Survey Metacognitive retrieval- augmented large language models

Reference 95

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:40:43.098701Z

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Observation 6881f1c1-e01b-49c1-b66e-bf1a1c47aced · outbound

This paper cites Rag-ex: A generic frame- work for explaining retrieval augmented generation.

Retrieval Augmented Generation Evaluation in the Era of Large Language Models: A Comprehensive Survey Rag-ex: A generic frame- work for explaining retrieval augmented generation

Reference 96

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:40:43.088021Z

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Observation c35cc5a7-27c8-4b08-b36b-ce8fd7a33e9b · outbound

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Retrieval Augmented Generation Evaluation in the Era of Large Language Models: A Comprehensive Survey VERA: Validation and Evaluation of Retrieval-Augmented Systems

Reference 97

Resolution: unresolved; no resolver link, observed 2026-08-16T11:40:41.804613Z

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Observation 35831bb6-da32-415a-853e-4da17668cc87 · outbound

This paper cites Reducing latency, January 2025.

Retrieval Augmented Generation Evaluation in the Era of Large Language Models: A Comprehensive Survey Reducing latency, January 2025

Reference 98

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:40:43.075582Z

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Observation 9c8ffcbe-b95c-481a-96f7-eeb2a99d5048 · outbound

This paper cites FiD-Light: E fficient and Effective Retrieval-Augmented Text Generation.

Retrieval Augmented Generation Evaluation in the Era of Large Language Models: A Comprehensive Survey FiD-Light: E fficient and Effective Retrieval-Augmented Text Generation

Reference 99

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:40:43.064487Z

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Observation 01b5fdc0-2313-4370-a06d-4fdeca09b59b · outbound

This paper cites Natu- ral questions: A benchmark for question answering research.

Retrieval Augmented Generation Evaluation in the Era of Large Language Models: A Comprehensive Survey Natu- ral questions: A benchmark for question answering research

Reference 100

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:40:43.053848Z

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Observation dff7790c-73ec-4f92-a252-fe8989f8cd3f · outbound

This paper cites HotpotQA: A dataset for diverse, explainable multi- hop question answering.

Retrieval Augmented Generation Evaluation in the Era of Large Language Models: A Comprehensive Survey HotpotQA: A dataset for diverse, explainable multi- hop question answering

Reference 101

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:40:43.042633Z

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Observation ff9b799d-0fa5-4449-ac0b-a4ee896aca68 · outbound

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Retrieval Augmented Generation Evaluation in the Era of Large Language Models: A Comprehensive Survey FEVER: a large-scale dataset for fact extraction and VERification

Reference 102

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:40:43.031989Z

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Observation 0869ce77-ed17-438a-9c59-dd4594b2c57b · outbound

This paper cites Wizard of Wikipedia: Knowledge-powered conversational agents.

Retrieval Augmented Generation Evaluation in the Era of Large Language Models: A Comprehensive Survey Wizard of Wikipedia: Knowledge-powered conversational agents

Reference 103

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:40:43.021138Z

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Get Experience from Practice: LLM Agents with Record & Replay Retrieval Augmented Generation Evaluation in the Era of Large Language Models: A Comprehensive Survey

Reference 22

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Reference 11

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Reference 13

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Observation a42a32ea-f576-4ed4-ae2b-d6074ea4ae7a · inbound

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Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-11T11:21:03.457826Z

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Observation 41d46c66-b121-421a-b8d0-925a7a892702 · inbound

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VikingMem: A Memory Base Management System for Stateful LLM-based Applications Retrieval Augmented Generation Evaluation in the Era of Large Language Models: A Comprehensive Survey

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-06-29T07:33:13.628078Z

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Observation 7619519f-f07a-4f3f-bebb-42cd5faf9e8a · inbound

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Reference 20

Resolution: verified exact; arxiv_id, observed 2026-07-02T13:26:59.428198Z

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Observation 346d357b-2534-407d-aa1e-de647159ce38 · inbound

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Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-02T12:21:40.643433Z

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Observation 443e3dd6-0f26-4a80-8136-0226c4aa803c · inbound

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Retrieval Augmented Generation Framework for the Nepali Legal Domain Question Answering Retrieval Augmented Generation Evaluation in the Era of Large Language Models: A Comprehensive Survey

Reference 4

Resolution: metadata mismatch; local_arxiv, observed 2026-07-05T16:01:18.060934Z

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Observation 8a46bb5a-d535-479d-a9e8-f2ef20f2346c · inbound

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Testing Retrieval-Augmented Generation Systems with Chunk Coverage Retrieval Augmented Generation Evaluation in the Era of Large Language Models: A Comprehensive Survey

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-01T15:53:58.378100Z

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Observation 41feaf0d-8282-46c4-8b88-a6de22db34ea · inbound

When Knowledge Changes: Metamorphic Testing of RAG Systems with Mutations cites this paper.

When Knowledge Changes: Metamorphic Testing of RAG Systems with Mutations Retrieval Augmented Generation Evaluation in the Era of Large Language Models: A Comprehensive Survey

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