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Paper Citation Record · LEDGER

Engineering RAG Systems for Real-World Applications: Design, Development, and Evaluation

As of 7 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 0 inbound Pith citation observations for arXiv:2506.20869.

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

pith.paper-citation-record.v1
2506.20869 v3

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T22:42:06.188147Z

measured 34 of 34 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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Source: cited_works

Reference resolution

34 of 34 outbound references displayed

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Outbound references

Observation 214ebcf6-ca33-4d36-a0a3-b335ffe11d3d · outbound

This paper cites In: 2024 IEEE International Conference on Soft- ware Maintenance and Evolution (ICSME), pp.

Engineering RAG Systems for Real-World Applications: Design, Development, and Evaluation In: 2024 IEEE International Conference on Soft- ware Maintenance and Evolution (ICSME), pp

Reference 1

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Observation be79d516-f0de-412e-b57c-fcf6f0d6aff6 · outbound

This paper cites In: 2024 6th Novel Intelligent and Leading Emerging Sciences Con- ference (NILES), pp.

Engineering RAG Systems for Real-World Applications: Design, Development, and Evaluation In: 2024 6th Novel Intelligent and Leading Emerging Sciences Con- ference (NILES), pp

Reference 2

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Observation b3ce2e1d-9a09-48b7-ba75-79101b062fbb · outbound

This paper cites Towards Interpretable Radiology Report Generation via Concept Bottlenecks using a Multi-Agentic RAG.

Engineering RAG Systems for Real-World Applications: Design, Development, and Evaluation Towards Interpretable Radiology Report Generation via Concept Bottlenecks using a Multi-Agentic RAG

Reference 3

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Observation e1255494-ae7c-445a-8655-fb91e8ecbcec · outbound

This paper cites In: Proceed- ings of the IEEE/ACM 3rd International Conference on AI Engineering - Software Engineering for AI, CAIN ’24, pp.

Engineering RAG Systems for Real-World Applications: Design, Development, and Evaluation In: Proceed- ings of the IEEE/ACM 3rd International Conference on AI Engineering - Software Engineering for AI, CAIN ’24, pp

Reference 4

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Observation d7d46775-c100-40d2-a427-444172ef6e5d · outbound

This paper cites Document Haystacks: Vision-Language Reasoning Over Piles of 1000+ Documents.

Engineering RAG Systems for Real-World Applications: Design, Development, and Evaluation Document Haystacks: Vision-Language Reasoning Over Piles of 1000+ Documents

Reference 5

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Observation 71263813-41ce-4c7f-9cbc-4fc8cffb31e4 · outbound

This paper cites In: Li, S., et al.

Engineering RAG Systems for Real-World Applications: Design, Development, and Evaluation In: Li, S., et al

Reference 6

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Observation da031a51-c916-4e63-af53-4c42e6f348c0 · outbound

This paper cites In: Proceedings of the 30th ACM SIGKDD Conference on Knowl- edge Discovery and Data Mining, KDD ’24, pp.

Engineering RAG Systems for Real-World Applications: Design, Development, and Evaluation In: Proceedings of the 30th ACM SIGKDD Conference on Knowl- edge Discovery and Data Mining, KDD ’24, pp

Reference 7

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Observation 6bab9f73-e628-4fdb-b896-3f2c5d91198d · outbound

This paper cites In: 2024 IEEE International Conference on Indus- trial Technology (ICIT), pp.

Engineering RAG Systems for Real-World Applications: Design, Development, and Evaluation In: 2024 IEEE International Conference on Indus- trial Technology (ICIT), pp

Reference 8

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Observation 815a21e5-1fa7-49c7-a751-f892148f4af4 · outbound

This paper cites LightRAG: Simple and Fast Retrieval-Augmented Generation.

Engineering RAG Systems for Real-World Applications: Design, Development, and Evaluation LightRAG: Simple and Fast Retrieval-Augmented Generation

Reference 9

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Observation b8a4e44b-0a44-4ed5-8913-32a6fa8dd718 · outbound

This paper cites A Comprehensive Survey of Retrieval-Augmented Generation (RAG): Evolution, Current Landscape and Future Directions.

Engineering RAG Systems for Real-World Applications: Design, Development, and Evaluation A Comprehensive Survey of Retrieval-Augmented Generation (RAG): Evolution, Current Landscape and Future Directions

Reference 10

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Observation 1075406c-56c4-41a4-951e-e2cbf13e590e · outbound

This paper cites In: Proceedings of the 2024 Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region, SIGIR-AP 2024, pp.

Engineering RAG Systems for Real-World Applications: Design, Development, and Evaluation In: Proceedings of the 2024 Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region, SIGIR-AP 2024, pp

Reference 11

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Observation f8b71c2e-d71d-4c1c-bc50-f8268fc2e9bc · outbound

This paper cites Developing Retrieval Augmented Generation (RAG) based LLM Systems from PDFs: An Experience Report.

Engineering RAG Systems for Real-World Applications: Design, Development, and Evaluation Developing Retrieval Augmented Generation (RAG) based LLM Systems from PDFs: An Experience Report

Reference 12

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Observation c576a81f-04a7-480a-97b5-c78ffc0097b6 · outbound

This paper cites Fact, Fetch, and Reason: A Unified Evaluation of Retrieval-Augmented Generation.

Engineering RAG Systems for Real-World Applications: Design, Development, and Evaluation Fact, Fetch, and Reason: A Unified Evaluation of Retrieval-Augmented Generation

Reference 13

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Observation 90b48c03-f6c1-4a9d-8a7a-279eacab1d0a · outbound

This paper cites Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks.

Engineering RAG Systems for Real-World Applications: Design, Development, and Evaluation Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks

Reference 14

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Observation 9a1c0b2e-0a45-48f5-a5ba-3ac21d9177b5 · outbound

This paper cites In: Rambow, O., Wanner, L., Apidianaki, M., Al-Khalifa, H., Eugenio, B.D., Schockaert, S.

Engineering RAG Systems for Real-World Applications: Design, Development, and Evaluation In: Rambow, O., Wanner, L., Apidianaki, M., Al-Khalifa, H., Eugenio, B.D., Schockaert, S

Reference 15

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Observation 824ea6c6-75c7-4079-b0fb-4a91d3c0eb45 · outbound

This paper cites Know Your RAG: Dataset Taxonomy and Generation Strategies for Evaluating RAG Systems.

Engineering RAG Systems for Real-World Applications: Design, Development, and Evaluation Know Your RAG: Dataset Taxonomy and Generation Strategies for Evaluating RAG Systems

Reference 16

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Observation 91b3df5a-5b72-4580-bb00-95bca0fcc76e · outbound

This paper cites In: The Twelfth Inter- national Conference on Learning Representations (2024).

Engineering RAG Systems for Real-World Applications: Design, Development, and Evaluation In: The Twelfth Inter- national Conference on Learning Representations (2024)

Reference 17

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Observation 68056298-0724-483a-b234-b5141db237c3 · outbound

This paper cites Path-RAG: Knowledge-Guided Key Region Retrieval for Open-ended Pathology Visual Question Answering.

Engineering RAG Systems for Real-World Applications: Design, Development, and Evaluation Path-RAG: Knowledge-Guided Key Region Retrieval for Open-ended Pathology Visual Question Answering

Reference 18

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This paper cites Generative Artificial Intelligence for Software Engineering -- A Research Agenda.

Engineering RAG Systems for Real-World Applications: Design, Development, and Evaluation Generative Artificial Intelligence for Software Engineering -- A Research Agenda

Reference 19

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Observation 9f5b7d4a-8392-47fa-b677-56b28ca76a2d · outbound

This paper cites Advanced System Integration: Analyzing OpenAPI Chunking for Retrieval-Augmented Generation.

Engineering RAG Systems for Real-World Applications: Design, Development, and Evaluation Advanced System Integration: Analyzing OpenAPI Chunking for Retrieval-Augmented Generation

Reference 20

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This paper cites In: Proceedings of the 5th ACM International Conference on AI in Finance, ICAIF ’24, pp.

Engineering RAG Systems for Real-World Applications: Design, Development, and Evaluation In: Proceedings of the 5th ACM International Conference on AI in Finance, ICAIF ’24, pp

Reference 21

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Observation b00805c3-9518-4910-bf2e-503591cfbd3c · outbound

This paper cites In: 2024 IEEE LLM Aided Design Workshop (LAD), pp.

Engineering RAG Systems for Real-World Applications: Design, Development, and Evaluation In: 2024 IEEE LLM Aided Design Workshop (LAD), pp

Reference 22

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Engineering RAG Systems for Real-World Applications: Design, Development, and Evaluation Agentic Retrieval-Augmented Generation: A Survey on Agentic RAG

Reference 23

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This paper cites In: 2024 6th International Conference on Electrical, Control and Instrumentation Engineering (ICECIE), pp.

Engineering RAG Systems for Real-World Applications: Design, Development, and Evaluation In: 2024 6th International Conference on Electrical, Control and Instrumentation Engineering (ICECIE), pp

Reference 24

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This paper cites https://doi.org/10.1007/s11704-024-40231-1.

Engineering RAG Systems for Real-World Applications: Design, Development, and Evaluation https://doi.org/10.1007/s11704-024-40231-1

Reference 25

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Engineering RAG Systems for Real-World Applications: Design, Development, and Evaluation In: Al-Onaizan, Y., Bansal, M., Chen, Y.N

Reference 26

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This paper cites In: Proceedings of the 33rd ACM International Conference on Informa- tion and Knowledge Management, CIKM ’24, pp.

Engineering RAG Systems for Real-World Applications: Design, Development, and Evaluation In: Proceedings of the 33rd ACM International Conference on Informa- tion and Knowledge Management, CIKM ’24, pp

Reference 27

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Engineering RAG Systems for Real-World Applications: Design, Development, and Evaluation Corrective Retrieval Augmented Generation

Reference 28

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Observation 7cd291b0-e9ab-42f9-a7e5-a2073e063a84 · outbound

This paper cites VisRAG: Vision-based Retrieval-augmented Generation on Multi-modality Documents.

Engineering RAG Systems for Real-World Applications: Design, Development, and Evaluation VisRAG: Vision-based Retrieval-augmented Generation on Multi-modality Documents

Reference 29

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Engineering RAG Systems for Real-World Applications: Design, Development, and Evaluation In: Ku, L.W., Martins, A., Srikumar, V

Reference 30

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This paper cites https://arxiv.org/abs/2411.14572.

Engineering RAG Systems for Real-World Applications: Design, Development, and Evaluation https://arxiv.org/abs/2411.14572

Reference 31

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Observation ec10a57f-a4b6-4296-9b27-da142b722ced · outbound

This paper cites OCR Hinders RAG: Evaluating the Cascading Impact of OCR on Retrieval-Augmented Generation.

Engineering RAG Systems for Real-World Applications: Design, Development, and Evaluation OCR Hinders RAG: Evaluating the Cascading Impact of OCR on Retrieval-Augmented Generation

Reference 32

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Engineering RAG Systems for Real-World Applications: Design, Development, and Evaluation Retrieval-Augmented Generation for AI-Generated Content: A Survey

Reference 33

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Observation 73fd6df1-3178-46ff-a9cd-7f3de746405e · outbound

This paper cites Understanding the Fundamental Design Decisions of Retrieval-Augmented Generation Systems.

Engineering RAG Systems for Real-World Applications: Design, Development, and Evaluation Understanding the Fundamental Design Decisions of Retrieval-Augmented Generation Systems

Reference 34

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Pith citing papers

No inbound Pith citation observations are available.