Large Language Model Agent for Structural Drawing Generation Using ReAct Prompt Engineering and Retrieval Augmented Generation | Paper Citation Record

Observation 03cd463a-ff3d-4e80-a428-78d183dfe74a · outbound

This paper cites Drawing in the engineering design process: Learning from the first 150 years of modern engineering.

Large Language Model Agent for Structural Drawing Generation Using ReAct Prompt Engineering and Retrieval Augmented Generation Drawing in the engineering design process: Learning from the first 150 years of modern engineering

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:07:32.810917Z

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Observation d2f7abfd-eba4-46ca-96ef-13a39c0d837e · outbound

This paper cites Cad software industry trends and directions.The Engineering Design Graphics Journal, 63(1), 1999.

Large Language Model Agent for Structural Drawing Generation Using ReAct Prompt Engineering and Retrieval Augmented Generation Cad software industry trends and directions.The Engineering Design Graphics Journal, 63(1), 1999

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:07:32.795712Z

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Observation 84d3670d-f1fc-4de9-a1ca-6e99336a42d4 · outbound

This paper cites an unresolved cited work.

Large Language Model Agent for Structural Drawing Generation Using ReAct Prompt Engineering and Retrieval Augmented Generation Unresolved cited work

Reference 3

Resolution: unresolved; raw_fallback, observed 2026-08-06T14:07:32.780550Z

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Observation f382e3c4-4712-480d-8095-7ba8c0c6c104 · outbound

This paper cites Effectiveness of autocad 3d software as a learning support tool.

Large Language Model Agent for Structural Drawing Generation Using ReAct Prompt Engineering and Retrieval Augmented Generation Effectiveness of autocad 3d software as a learning support tool

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:07:32.765689Z

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Observation 134a8b88-a401-4bcd-85f1-21b90304bb05 · outbound

This paper cites Building information modeling (bim) for existing build- ings—literature review and future needs.Automation in construction, 38:109–127, 2014.

Large Language Model Agent for Structural Drawing Generation Using ReAct Prompt Engineering and Retrieval Augmented Generation Building information modeling (bim) for existing build- ings—literature review and future needs.Automation in construction, 38:109–127, 2014

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:07:32.750035Z

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Observation c555496c-6c42-4ac0-a91e-02804885f81f · outbound

This paper cites Construction management with autocad.Journal of Management in Engineering, 7(3):267–278, 1991.

Large Language Model Agent for Structural Drawing Generation Using ReAct Prompt Engineering and Retrieval Augmented Generation Construction management with autocad.Journal of Management in Engineering, 7(3):267–278, 1991

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:07:32.732629Z

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Observation 1ef77f46-765f-4a76-a397-f474d30f8248 · outbound

This paper cites Crack and noncrack classification from concrete surface images using machine learning.Structural Health Monitoring, 18(3):725–738, 2019.

Large Language Model Agent for Structural Drawing Generation Using ReAct Prompt Engineering and Retrieval Augmented Generation Crack and noncrack classification from concrete surface images using machine learning.Structural Health Monitoring, 18(3):725–738, 2019

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:07:32.717898Z

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Observation 73014350-c05b-4a12-a84a-217c9fd6b30b · outbound

This paper cites Rapid, automated post-event image classification and documentation.

Large Language Model Agent for Structural Drawing Generation Using ReAct Prompt Engineering and Retrieval Augmented Generation Rapid, automated post-event image classification and documentation

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:07:32.701594Z

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Observation 5b6e03af-a640-49e8-bb77-960f3b8b82e2 · outbound

This paper cites Mixed training of deep convolutional neural network for bridge deterioration detection with uav and inspection report sourced images.

Large Language Model Agent for Structural Drawing Generation Using ReAct Prompt Engineering and Retrieval Augmented Generation Mixed training of deep convolutional neural network for bridge deterioration detection with uav and inspection report sourced images

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:07:32.685785Z

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Observation c5b64210-c18c-4af9-9f49-73c44e62c0a0 · outbound

This paper cites Vision-based Structural Inspection using Multiscale Deep Convolutional Neural Networks.

Large Language Model Agent for Structural Drawing Generation Using ReAct Prompt Engineering and Retrieval Augmented Generation Vision-based Structural Inspection using Multiscale Deep Convolutional Neural Networks

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-08-06T14:07:31.931365Z

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Observation 20a4b811-0a2d-40a6-9e41-3a21bde37564 · outbound

This paper cites Deep learning-based crack damage detection using convolutional neural networks.Computer-Aided Civil and Infrastructure Engineering, 32(5):361–378, 2017.

Large Language Model Agent for Structural Drawing Generation Using ReAct Prompt Engineering and Retrieval Augmented Generation Deep learning-based crack damage detection using convolutional neural networks.Computer-Aided Civil and Infrastructure Engineering, 32(5):361–378, 2017

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:07:32.671070Z

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Observation c773ba16-8c7c-431f-a99a-da47e894198b · outbound

This paper cites Faster r-cnn: Towards real-time object detection with region proposal networks.Advances in neural information processing systems, 28, 2015.

Large Language Model Agent for Structural Drawing Generation Using ReAct Prompt Engineering and Retrieval Augmented Generation Faster r-cnn: Towards real-time object detection with region proposal networks.Advances in neural information processing systems, 28, 2015

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T14:07:27.255844Z

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Observation 8b448925-b45e-4dca-ad89-85f05de7aa2c · outbound

This paper cites Deep learning–based fully automated pavement crack detection on 3d asphalt surfaces with an improved cracknet.

Large Language Model Agent for Structural Drawing Generation Using ReAct Prompt Engineering and Retrieval Augmented Generation Deep learning–based fully automated pavement crack detection on 3d asphalt surfaces with an improved cracknet

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:07:32.645914Z

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Observation 4244bc75-7f26-4f20-b8a5-48a88d46a2aa · outbound

This paper cites Towards rapid and automated vulnerability classification of concrete buildings.Earthquake Engineering and Engineering Vibration, 22(2):309–332, 2023.

Large Language Model Agent for Structural Drawing Generation Using ReAct Prompt Engineering and Retrieval Augmented Generation Towards rapid and automated vulnerability classification of concrete buildings.Earthquake Engineering and Engineering Vibration, 22(2):309–332, 2023

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:07:32.631493Z

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Observation 6a7aac1b-a4da-45b8-9536-f852d1b1ccc9 · outbound

This paper cites Optimal policy for structure maintenance: A deep reinforcement learning framework.Structural Safety, 83:101906, 2020.

Large Language Model Agent for Structural Drawing Generation Using ReAct Prompt Engineering and Retrieval Augmented Generation Optimal policy for structure maintenance: A deep reinforcement learning framework.Structural Safety, 83:101906, 2020

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:07:32.616504Z

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Observation bdce97c4-446a-4e48-bae3-3ea8613ab663 · outbound

This paper cites Reinforcement learning-based bridge inspection management.STRUCTURAL HEALTH MONITORING 2023, 2023.

Large Language Model Agent for Structural Drawing Generation Using ReAct Prompt Engineering and Retrieval Augmented Generation Reinforcement learning-based bridge inspection management.STRUCTURAL HEALTH MONITORING 2023, 2023

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:07:32.601066Z

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Observation 044e3e14-62c9-4366-a316-0dbcdf810692 · outbound

This paper cites Generative adversarial networks for labeled acceleration data augmentation for structural damage detection.Journal of Civil Structural Health Monitoring, 13(1):181–198, 2023.

Large Language Model Agent for Structural Drawing Generation Using ReAct Prompt Engineering and Retrieval Augmented Generation Generative adversarial networks for labeled acceleration data augmentation for structural damage detection.Journal of Civil Structural Health Monitoring, 13(1):181–198, 2023

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:07:32.585894Z

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Observation 71293621-b465-4b80-b160-957c7a165c32 · outbound

This paper cites Generative adversarial networks review in earthquake-related engineering fields.Bulletin of Earthquake Engineering, 22(7):3511–3562, 2024.

Large Language Model Agent for Structural Drawing Generation Using ReAct Prompt Engineering and Retrieval Augmented Generation Generative adversarial networks review in earthquake-related engineering fields.Bulletin of Earthquake Engineering, 22(7):3511–3562, 2024

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:07:32.568716Z

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Observation 5eb34c06-91a6-481f-9a2a-1729a6ab0dcf · outbound

This paper cites Generative adversarial network for damage identification in civil structures.Shock and Vibration, 2021(1):3987835, 2021.

Large Language Model Agent for Structural Drawing Generation Using ReAct Prompt Engineering and Retrieval Augmented Generation Generative adversarial network for damage identification in civil structures.Shock and Vibration, 2021(1):3987835, 2021

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:07:32.552128Z

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Observation e3846f7b-686e-44e1-ab9f-67a248055f74 · outbound

This paper cites Generative ai: The new geotechnical assistant?Journal of Geotechnical and Geoenvironmental Engineering, 149(10):02823004, 2023.

Large Language Model Agent for Structural Drawing Generation Using ReAct Prompt Engineering and Retrieval Augmented Generation Generative ai: The new geotechnical assistant?Journal of Geotechnical and Geoenvironmental Engineering, 149(10):02823004, 2023

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:07:32.536378Z

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Observation 2337e0b2-4048-4b70-b1da-1af65fd72112 · outbound

This paper cites Intelligent generative design for shear wall cross-sectional size using rule-embedded generative adversarial network.Journal of Structural Engineering, 149(11):04023161, 2023.

Large Language Model Agent for Structural Drawing Generation Using ReAct Prompt Engineering and Retrieval Augmented Generation Intelligent generative design for shear wall cross-sectional size using rule-embedded generative adversarial network.Journal of Structural Engineering, 149(11):04023161, 2023

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:07:32.520629Z

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Observation 878e0724-e44e-4b62-bcf1-d9ac0912b4cd · outbound

This paper cites Opportunities and challenges of generative ai in construc- tion industry: Focusing on adoption of text-based models.Buildings, 14(1):220, 2024.

Large Language Model Agent for Structural Drawing Generation Using ReAct Prompt Engineering and Retrieval Augmented Generation Opportunities and challenges of generative ai in construc- tion industry: Focusing on adoption of text-based models.Buildings, 14(1):220, 2024

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:07:32.505168Z

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Observation 5760a852-1581-445c-a22c-fe2b57a8b797 · outbound

This paper cites Attention is all you need.Advances in neural information processing systems, 30:I, 2017.

Large Language Model Agent for Structural Drawing Generation Using ReAct Prompt Engineering and Retrieval Augmented Generation Attention is all you need.Advances in neural information processing systems, 30:I, 2017

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-06T14:07:27.866820Z

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Observation 9970e512-9b5d-4e3e-8a5b-2cb853b647e6 · outbound

This paper cites Detection and classification of surface defects on hot-rolled steel using vision transformers.Heliyon, 10(19), 2024.

Large Language Model Agent for Structural Drawing Generation Using ReAct Prompt Engineering and Retrieval Augmented Generation Detection and classification of surface defects on hot-rolled steel using vision transformers.Heliyon, 10(19), 2024

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:07:32.475669Z

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Observation 0256397b-933c-45c4-9d46-d6ebf2b3e53b · outbound

This paper cites A Survey of Large Language Models.

Large Language Model Agent for Structural Drawing Generation Using ReAct Prompt Engineering and Retrieval Augmented Generation A Survey of Large Language Models

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-06T14:07:27.939674Z

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Observation 4ee6fcfa-a853-45c5-880f-e2a78620bc1e · outbound

This paper cites Chatgpt and open-ai models: A preliminary review.Future Internet, 15(6):192, 2023.

Large Language Model Agent for Structural Drawing Generation Using ReAct Prompt Engineering and Retrieval Augmented Generation Chatgpt and open-ai models: A preliminary review.Future Internet, 15(6):192, 2023

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:07:32.460976Z

Source-reported events for the cited work

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Observation eb3bf223-e43e-4f65-af1a-fb1e8cdf6370 · outbound

This paper cites Application of chatgpt in civil engineering.East African Journal of Engineering, 6(1):104–112, 2023.

Large Language Model Agent for Structural Drawing Generation Using ReAct Prompt Engineering and Retrieval Augmented Generation Application of chatgpt in civil engineering.East African Journal of Engineering, 6(1):104–112, 2023

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:07:32.445257Z

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Observation e23d59ad-b5b3-4bbd-bc79-b70f1a06ab55 · outbound

This paper cites an unresolved cited work.

Large Language Model Agent for Structural Drawing Generation Using ReAct Prompt Engineering and Retrieval Augmented Generation Unresolved cited work

Reference 28

Resolution: unresolved; raw_fallback, observed 2026-08-06T14:07:32.429754Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 773ed1c6-fd1e-45ff-b7d6-184d564394b5 · outbound

This paper cites Prompt engineering with chatgpt: a guide for academic writers.Annals of biomedical engineering, 51(12):2629–2633, 2023.

Large Language Model Agent for Structural Drawing Generation Using ReAct Prompt Engineering and Retrieval Augmented Generation Prompt engineering with chatgpt: a guide for academic writers.Annals of biomedical engineering, 51(12):2629–2633, 2023

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:07:32.414967Z

Source-reported events for the cited work

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Observation 11b28b98-1500-4ddd-8255-5213b5c8807b · outbound

This paper cites React: Synergizing reasoning and acting in language models.

Large Language Model Agent for Structural Drawing Generation Using ReAct Prompt Engineering and Retrieval Augmented Generation React: Synergizing reasoning and acting in language models

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-06T14:07:28.220638Z

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Observation 7db7cf92-ec2f-42a2-96a0-cd342419cf3c · outbound

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

Large Language Model Agent for Structural Drawing Generation Using ReAct Prompt Engineering and Retrieval Augmented Generation LLM Lies: Hallucinations are not Bugs, but Features as Adversarial Examples

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-06T14:07:28.281329Z

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Observation 091f7214-ddf0-4064-971c-d9e2819bbbbe · outbound

This paper cites Retrieval-augmented generation for knowledge- intensive nlp tasks.Advances in neural information processing systems, 33:9459–9474, 2020.

Large Language Model Agent for Structural Drawing Generation Using ReAct Prompt Engineering and Retrieval Augmented Generation Retrieval-augmented generation for knowledge- intensive nlp tasks.Advances in neural information processing systems, 33:9459–9474, 2020

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-06T14:07:28.338441Z

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Observation b79e8683-b6ff-4214-9de7-e6f5b7c35ea3 · outbound

This paper cites Retrieval augmented generation using engineering design knowledge.Knowledge- Based Systems, 303:112410, 2024.

Large Language Model Agent for Structural Drawing Generation Using ReAct Prompt Engineering and Retrieval Augmented Generation Retrieval augmented generation using engineering design knowledge.Knowledge- Based Systems, 303:112410, 2024

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:07:32.378028Z

Source-reported events for the cited work

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Observation 2202320c-0ffd-4a6e-9712-38f04a1b968e · outbound

This paper cites AIOS: LLM Agent Operating System.

Large Language Model Agent for Structural Drawing Generation Using ReAct Prompt Engineering and Retrieval Augmented Generation AIOS: LLM Agent Operating System

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-06T14:07:28.449393Z

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Observation 31afc2f7-9864-41e8-9a43-fa8716112bee · outbound

This paper cites Data Interpreter: An LLM Agent For Data Science.

Large Language Model Agent for Structural Drawing Generation Using ReAct Prompt Engineering and Retrieval Augmented Generation Data Interpreter: An LLM Agent For Data Science

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-06T14:07:28.511619Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0a73c11c-1c7d-418c-ba1a-fe1c4349cf84 · outbound

This paper cites AutoCAD Software.

Large Language Model Agent for Structural Drawing Generation Using ReAct Prompt Engineering and Retrieval Augmented Generation AutoCAD Software

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:07:32.362570Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 24945382-7edc-4792-8f3b-0d1b2b2eca41 · outbound

This paper cites Revit Software.

Large Language Model Agent for Structural Drawing Generation Using ReAct Prompt Engineering and Retrieval Augmented Generation Revit Software

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:07:32.348654Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 2bff0d61-a47a-4116-804d-0a60c7087f58 · outbound

This paper cites SketchUp Software.https://www.sketchup.com/en, 2024.

Large Language Model Agent for Structural Drawing Generation Using ReAct Prompt Engineering and Retrieval Augmented Generation SketchUp Software.https://www.sketchup.com/en, 2024

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:07:32.333876Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation b09c8df7-2ddc-413a-ba48-18a04ffa9baf · outbound

This paper cites Hidden markov models in speech and language processing.

Large Language Model Agent for Structural Drawing Generation Using ReAct Prompt Engineering and Retrieval Augmented Generation Hidden markov models in speech and language processing

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:07:32.319829Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 306b8536-a44f-49e0-9f84-a1ea5ca20bbc · outbound

This paper cites Gaussian mixture models.

Large Language Model Agent for Structural Drawing Generation Using ReAct Prompt Engineering and Retrieval Augmented Generation Gaussian mixture models

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-06T14:07:28.730271Z

Source-reported events for the cited work

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Observation f33b25ff-311c-4f42-919a-1a89e8d6eeed · outbound

This paper cites A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPT.

Large Language Model Agent for Structural Drawing Generation Using ReAct Prompt Engineering and Retrieval Augmented Generation A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPT

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-06T14:07:28.790739Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 68631af3-4298-418b-b98b-cea1390bde6c · outbound

This paper cites Faster and smaller n-gram language models.

Large Language Model Agent for Structural Drawing Generation Using ReAct Prompt Engineering and Retrieval Augmented Generation Faster and smaller n-gram language models

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:07:32.294735Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 043e342c-98fe-44d8-8da1-4914219bddbe · outbound

This paper cites Recurrent neural networks.Design and applications, 5(64-67):2, 2001.

Large Language Model Agent for Structural Drawing Generation Using ReAct Prompt Engineering and Retrieval Augmented Generation Recurrent neural networks.Design and applications, 5(64-67):2, 2001

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-06T14:07:28.894826Z

Source-reported events for the cited work

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Observation 91a4bac6-b0d4-4d86-8fcf-65d5a023ea73 · outbound

This paper cites Long short-term memory.Supervised sequence labelling with recurrent neural networks, pages 37–45, 2012.

Large Language Model Agent for Structural Drawing Generation Using ReAct Prompt Engineering and Retrieval Augmented Generation Long short-term memory.Supervised sequence labelling with recurrent neural networks, pages 37–45, 2012

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-06T14:07:28.995650Z

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Observation 728825ee-dc49-45a8-9f93-f11ee40b6d43 · outbound

This paper cites Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling.

Large Language Model Agent for Structural Drawing Generation Using ReAct Prompt Engineering and Retrieval Augmented Generation Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-06T14:07:29.032646Z

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Observation 1cd2372a-7fca-4ef8-b619-f7cb0bff03af · outbound

This paper cites Generative adversarial networks.Communications of the ACM, 63(11):139–144, 2020.

Large Language Model Agent for Structural Drawing Generation Using ReAct Prompt Engineering and Retrieval Augmented Generation Generative adversarial networks.Communications of the ACM, 63(11):139–144, 2020

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-06T14:07:29.040217Z

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Observation 8a6905be-cf5c-44cf-9df4-fae20e6643f1 · outbound

This paper cites An introduction to variational autoencoders.F oundations and Trends® in Machine Learning, 12(4):307–392, 2019.

Large Language Model Agent for Structural Drawing Generation Using ReAct Prompt Engineering and Retrieval Augmented Generation An introduction to variational autoencoders.F oundations and Trends® in Machine Learning, 12(4):307–392, 2019

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:07:32.249670Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 4462361e-f675-4c55-88bb-c82dab2390c2 · outbound

This paper cites Attention is all you need.Advances in neural information processing systems, 30, 2017.

Large Language Model Agent for Structural Drawing Generation Using ReAct Prompt Engineering and Retrieval Augmented Generation Attention is all you need.Advances in neural information processing systems, 30, 2017

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-06T14:07:29.139598Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f6a86aef-6750-4ac1-822e-ffc1d8a28267 · outbound

This paper cites A survey on vision transformer.IEEE transactions on pattern analysis and machine intelligence, 45(1):87–110, 2022.

Large Language Model Agent for Structural Drawing Generation Using ReAct Prompt Engineering and Retrieval Augmented Generation A survey on vision transformer.IEEE transactions on pattern analysis and machine intelligence, 45(1):87–110, 2022

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-06T14:07:29.211612Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0c3fed51-bf2d-4c92-8e5d-318b7791a0e7 · outbound

This paper cites Swin transformer: Hierarchical vision transformer using shifted windows.

Large Language Model Agent for Structural Drawing Generation Using ReAct Prompt Engineering and Retrieval Augmented Generation Swin transformer: Hierarchical vision transformer using shifted windows

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-06T14:07:29.306916Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cd9fca87-254f-4e05-8417-466d7e894d49 · outbound

This paper cites ChatGPT (Feb 18 version) [Large language model].

Large Language Model Agent for Structural Drawing Generation Using ReAct Prompt Engineering and Retrieval Augmented Generation ChatGPT (Feb 18 version) [Large language model]

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:07:32.203749Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation cd105063-003a-477e-a192-4f5b41075566 · outbound

This paper cites Bert: Pre-training of deep bidirectional transformers for language understanding.

Large Language Model Agent for Structural Drawing Generation Using ReAct Prompt Engineering and Retrieval Augmented Generation Bert: Pre-training of deep bidirectional transformers for language understanding

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:07:32.189071Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 76cea73a-28db-46ec-84a9-a8ab195d6ac2 · outbound

This paper cites Distraction generation using google T5: A study.

Large Language Model Agent for Structural Drawing Generation Using ReAct Prompt Engineering and Retrieval Augmented Generation Distraction generation using google T5: A study

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:07:32.173866Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation b002b13d-03c0-4965-a91d-76bd56fb8489 · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

Large Language Model Agent for Structural Drawing Generation Using ReAct Prompt Engineering and Retrieval Augmented Generation LLaMA: Open and Efficient Foundation Language Models

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-06T14:07:29.808685Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5e76abe5-b700-4d79-aa77-3c36b555955f · outbound

This paper cites A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT.

Large Language Model Agent for Structural Drawing Generation Using ReAct Prompt Engineering and Retrieval Augmented Generation A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-06T14:07:29.869214Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1afd6dfc-0e22-4fd8-a3be-5601e0330bc4 · outbound

This paper cites Chain-of-thought prompting elicits reasoning in large language models.Advances in neural information processing systems, 35:24824–24837, 2022.

Large Language Model Agent for Structural Drawing Generation Using ReAct Prompt Engineering and Retrieval Augmented Generation Chain-of-thought prompting elicits reasoning in large language models.Advances in neural information processing systems, 35:24824–24837, 2022

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-06T14:07:29.961835Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e2455f82-bacd-4684-a78e-7d5a4bc8d8b1 · outbound

This paper cites Tree of thoughts: Deliberate problem solving with large language models.Advances in neural information processing systems, 36:11809–11822, 2023.

Large Language Model Agent for Structural Drawing Generation Using ReAct Prompt Engineering and Retrieval Augmented Generation Tree of thoughts: Deliberate problem solving with large language models.Advances in neural information processing systems, 36:11809–11822, 2023

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-06T14:07:30.127785Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f2bf0e54-1a83-4f9b-863a-723d2c536593 · outbound

This paper cites Self-Consistency Improves Chain of Thought Reasoning in Language Models.

Large Language Model Agent for Structural Drawing Generation Using ReAct Prompt Engineering and Retrieval Augmented Generation Self-Consistency Improves Chain of Thought Reasoning in Language Models

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-06T14:07:30.274773Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7a1fd604-4ff4-4907-85e3-ff1fbd56752b · outbound

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

Large Language Model Agent for Structural Drawing Generation Using ReAct Prompt Engineering and Retrieval Augmented Generation Retrieval-Augmented Generation for Large Language Models: A Survey

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-06T14:07:30.420702Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e0c3589a-3ae6-43cc-aa71-34d3b33f6685 · outbound

This paper cites Knowing before seeing: Incor- porating post-retrieval information into pre-retrieval query intention classification.

Large Language Model Agent for Structural Drawing Generation Using ReAct Prompt Engineering and Retrieval Augmented Generation Knowing before seeing: Incor- porating post-retrieval information into pre-retrieval query intention classification

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:07:32.136872Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation d4296cf9-be9f-4803-a173-b86b6a90de92 · outbound

This paper cites Llm-based custom chatbot using langchain.

Large Language Model Agent for Structural Drawing Generation Using ReAct Prompt Engineering and Retrieval Augmented Generation Llm-based custom chatbot using langchain

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:07:32.122048Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 1161490e-ad3b-41c8-a22e-136bb94aba72 · outbound

This paper cites American Institute of Steel Construction, Chicago, IL, 15th edition, 2017.

Large Language Model Agent for Structural Drawing Generation Using ReAct Prompt Engineering and Retrieval Augmented Generation American Institute of Steel Construction, Chicago, IL, 15th edition, 2017

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:07:32.107300Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation e29d601f-0ec9-457c-8da2-207b0f6dc803 · outbound

This paper cites Precast beam cross-section is standard but the position of the strands are defined by a user.

Large Language Model Agent for Structural Drawing Generation Using ReAct Prompt Engineering and Retrieval Augmented Generation Precast beam cross-section is standard but the position of the strands are defined by a user

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:07:32.091159Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 3723a35b-34b3-4a92-ab33-264924552295 · outbound

This paper cites - Type of Structure: name of type.

Large Language Model Agent for Structural Drawing Generation Using ReAct Prompt Engineering and Retrieval Augmented Generation - Type of Structure: name of type

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:07:32.075836Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation b11920f4-4027-40c7-aac9-1c26b9b5193d · outbound

This paper cites Unit: unit name.

Large Language Model Agent for Structural Drawing Generation Using ReAct Prompt Engineering and Retrieval Augmented Generation Unit: unit name

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:07:32.045186Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 7ce1eefb-020a-4e80-9a2c-05a7bd26b588 · outbound

This paper cites Save: Path.

Large Language Model Agent for Structural Drawing Generation Using ReAct Prompt Engineering and Retrieval Augmented Generation Save: Path

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:07:32.060545Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 33cad192-a91e-4801-8bfd-025fa74ecd61 · outbound

This paper cites Unit: unit name.

Large Language Model Agent for Structural Drawing Generation Using ReAct Prompt Engineering and Retrieval Augmented Generation Unit: unit name

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:07:32.030036Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers