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Paper Citation Record · LEDGER

AI-Generated Content in Landscape Architecture: A Survey

As of 16 August 2026, this Paper Citation Record lists 100 of 194 outbound references and 0 inbound Pith citation observations for arXiv:2503.16435.

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

pith.paper-citation-record.v1
2503.16435 v1

Coverage vector

measured 100 of 194 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T10:46:37.034463Z

measured 100 of 100 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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Source: cited_works

Reference resolution

100 of 194 outbound references displayed

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Outbound references

Observation 6e56915d-f17e-475f-a40c-2bfdf57d34e5 · outbound

This paper cites Land cover and land use classification perfor- mance of machine learning algorithms in a boreal landscape using sentinel-2 data.

AI-Generated Content in Landscape Architecture: A Survey Land cover and land use classification perfor- mance of machine learning algorithms in a boreal landscape using sentinel-2 data

Reference 1

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Observation 89bbd462-1ca2-4e1e-b458-123c452fbf0e · outbound

This paper cites Advancing in object-based landscape information modeling: Challenges and future needs, in: Computing in Civil Engineering, pp.

AI-Generated Content in Landscape Architecture: A Survey Advancing in object-based landscape information modeling: Challenges and future needs, in: Computing in Civil Engineering, pp

Reference 2

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Observation aedf7092-c3bb-49e4-b91c-c0a934b7a487 · outbound

This paper cites The need for landscape informa- tionmodelling(LIM)inlandscapearchitecture,in:The13thDigital Landscape Architecture Conference, Citeseer.

AI-Generated Content in Landscape Architecture: A Survey The need for landscape informa- tionmodelling(LIM)inlandscapearchitecture,in:The13thDigital Landscape Architecture Conference, Citeseer

Reference 3

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Observation 44bbed8c-8ba1-48ee-a423-e3bd14ec4f62 · outbound

This paper cites Deeplearninginthecon- structionindustry:Areviewofpresentstatusandfutureinnovations.

AI-Generated Content in Landscape Architecture: A Survey Deeplearninginthecon- structionindustry:Areviewofpresentstatusandfutureinnovations

Reference 4

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Observation 1285fc8d-b622-4fa1-b5dd-3f29d098208a · outbound

This paper cites Introduction to machine learning.

AI-Generated Content in Landscape Architecture: A Survey Introduction to machine learning

Reference 5

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Observation db4ce116-fa02-408c-b1da-7776ea557a0f · outbound

This paper cites Creativity, artificial intelligence, and a world of surprises.

AI-Generated Content in Landscape Architecture: A Survey Creativity, artificial intelligence, and a world of surprises

Reference 6

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Observation b4449fbd-9598-4082-b2e5-c7baead92f34 · outbound

This paper cites Determining uncertainties inAIapplicationsinAECsectorandtheircorrespondingmitigation strategies.

AI-Generated Content in Landscape Architecture: A Survey Determining uncertainties inAIapplicationsinAECsectorandtheircorrespondingmitigation strategies

Reference 7

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Observation 8ea848c5-50eb-410b-b869-1c533fb56ef0 · outbound

This paper cites Estimating vegetation biomass and cover across large plots in shrub and grass dominated drylands using terrestrial lidar and machine learning.

AI-Generated Content in Landscape Architecture: A Survey Estimating vegetation biomass and cover across large plots in shrub and grass dominated drylands using terrestrial lidar and machine learning

Reference 8

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Observation 9ceaf795-ba4e-4f4a-9104-3e834489a192 · outbound

This paper cites QuiltGAN: An adver- sariallytrained,proceduralalgorithmfortexturegeneration,in:12th InternationalConferenceofComputerVisionSystems,Springer.pp.

AI-Generated Content in Landscape Architecture: A Survey QuiltGAN: An adver- sariallytrained,proceduralalgorithmfortexturegeneration,in:12th InternationalConferenceofComputerVisionSystems,Springer.pp

Reference 9

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Observation 61dd470c-311f-46b4-9f62-025184e3f677 · outbound

This paper cites Artificialintelligence and smart vision for building and construction 4.0: Machine and deep learning methods and applications.

AI-Generated Content in Landscape Architecture: A Survey Artificialintelligence and smart vision for building and construction 4.0: Machine and deep learning methods and applications

Reference 10

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Observation 198a2864-771f-4ece-8a34-923499e8f7fe · outbound

This paper cites Substituting human decision-making with machine learning: Implications for organiza- tional learning.

AI-Generated Content in Landscape Architecture: A Survey Substituting human decision-making with machine learning: Implications for organiza- tional learning

Reference 11

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Observation c3436a27-d7f7-4697-9a81-5092adcd7982 · outbound

This paper cites Landscape ecological constructionandspatialpatternoptimizationdesignbasedongenetic algorithm optimization neural network.

AI-Generated Content in Landscape Architecture: A Survey Landscape ecological constructionandspatialpatternoptimizationdesignbasedongenetic algorithm optimization neural network

Reference 12

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Observation 49676455-6b68-474d-9597-33e2e56be3cf · outbound

This paper cites A survey of augmented reality.

AI-Generated Content in Landscape Architecture: A Survey A survey of augmented reality

Reference 13

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Observation c80ab1c7-03ef-4f66-af13-99fa4e602844 · outbound

This paper cites Waveland press.

AI-Generated Content in Landscape Architecture: A Survey Waveland press

Reference 14

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Observation 65b54542-ad2e-4b70-a5aa-e840d01d2cea · outbound

This paper cites Key issues and research priorities for public participation GIS (PPGIS): A synthesis based on empirical research.

AI-Generated Content in Landscape Architecture: A Survey Key issues and research priorities for public participation GIS (PPGIS): A synthesis based on empirical research

Reference 15

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Observation 5198bee8-1081-4faf-864b-04952431a3ed · outbound

This paper cites Physical environmental modeling, visualization and query for supporting landscape planning decisions.

AI-Generated Content in Landscape Architecture: A Survey Physical environmental modeling, visualization and query for supporting landscape planning decisions

Reference 16

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Observation 37b68893-47ed-4df9-a56f-4d31e29a606e · outbound

This paper cites Integratingquantitativeandqualitativeresearch: how is it done? Qualitative Research 6, 97–113.

AI-Generated Content in Landscape Architecture: A Survey Integratingquantitativeandqualitativeresearch: how is it done? Qualitative Research 6, 97–113

Reference 17

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Observation 4b4b01e5-8731-45d6-b76b-c65e9f9b1d34 · outbound

This paper cites Humandignityandhumanrights:Thoughtson the principles of human-centered design.

AI-Generated Content in Landscape Architecture: A Survey Humandignityandhumanrights:Thoughtson the principles of human-centered design

Reference 18

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Observation fa98ebca-0d0d-442d-8be3-125775035940 · outbound

This paper cites Participatory landscape development: overcoming social barriers to public in- volvement.

AI-Generated Content in Landscape Architecture: A Survey Participatory landscape development: overcoming social barriers to public in- volvement

Reference 19

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Observation cbf7cf7d-6288-4d6c-a8f7-ef6376b5adfb · outbound

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AI-Generated Content in Landscape Architecture: A Survey Unresolved cited work

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AI-Generated Content in Landscape Architecture: A Survey Virtual reality technology

Reference 21

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Observation 42601760-0fc8-443e-aab2-1ed174c3676e · outbound

This paper cites Smartirrigation monitoringandcontrolstrategiesforimprovingwateruseefficiency in precision agriculture: A review.

AI-Generated Content in Landscape Architecture: A Survey Smartirrigation monitoringandcontrolstrategiesforimprovingwateruseefficiency in precision agriculture: A review

Reference 22

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Observation ba2f5e6d-b355-4f40-a575-edfd8e49d27b · outbound

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AI-Generated Content in Landscape Architecture: A Survey Adesignoptimizationtoolbased on a genetic algorithm

Reference 23

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Observation 34fe7373-8489-47e0-aea4-54d9ba5dbb56 · outbound

This paper cites Building-GAN: Graph-conditioned architectural volumetricdesigngeneration,in:TheIEEE/CVFInternationalCon- ference on Computer Vision, IEEE.

AI-Generated Content in Landscape Architecture: A Survey Building-GAN: Graph-conditioned architectural volumetricdesigngeneration,in:TheIEEE/CVFInternationalCon- ference on Computer Vision, IEEE

Reference 24

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Observation 3add1098-a230-4c1a-a100-3b41c6fc4a70 · outbound

This paper cites Areviewonconventionalmachine learning vs deep learning, in: International Conference on Comput- ing, Power and Communication Technologies, IEEE.

AI-Generated Content in Landscape Architecture: A Survey Areviewonconventionalmachine learning vs deep learning, in: International Conference on Comput- ing, Power and Communication Technologies, IEEE

Reference 25

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Observation 5c5e42f3-216c-4339-b55d-093d803e1586 · outbound

This paper cites Origin and evolution of the theoretical knowledge system of landscape architecture.

AI-Generated Content in Landscape Architecture: A Survey Origin and evolution of the theoretical knowledge system of landscape architecture

Reference 26

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Observation ee8a2bd0-1bf6-4689-942c-dae2a110e419 · outbound

This paper cites A brief history of data visualization.

AI-Generated Content in Landscape Architecture: A Survey A brief history of data visualization

Reference 27

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Observation 9d0093b0-7884-4a7c-a02d-6b9cb1b19e29 · outbound

This paper cites Generativedesignofoutdoorgreenspacesbased on generative adversarial networks.

AI-Generated Content in Landscape Architecture: A Survey Generativedesignofoutdoorgreenspacesbased on generative adversarial networks

Reference 28

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Observation 4ab6c280-7d96-4417-bb15-51e1a6eaab67 · outbound

This paper cites Environmental landscape design and planning system based on computer vision and deep learning.

AI-Generated Content in Landscape Architecture: A Survey Environmental landscape design and planning system based on computer vision and deep learning

Reference 29

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Observation 84e6732e-509e-4e48-bf5b-3c4a0feb735a · outbound

This paper cites Naturallanguageprocessing(almost)fromscratch.

AI-Generated Content in Landscape Architecture: A Survey Naturallanguageprocessing(almost)fromscratch

Reference 30

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Observation f49e2a18-1039-4005-a980-65f6e193b000 · outbound

This paper cites Isresearchkeepingupwith changes in landscape policy? a review of the literature.

AI-Generated Content in Landscape Architecture: A Survey Isresearchkeepingupwith changes in landscape policy? a review of the literature

Reference 31

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This paper cites From analytics to artificial intelligence.

AI-Generated Content in Landscape Architecture: A Survey From analytics to artificial intelligence

Reference 32

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AI-Generated Content in Landscape Architecture: A Survey Multi-objective optimization using evolutionary algorithms

Reference 33

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Observation 57be89f9-6498-442c-9c66-6aeb13463439 · outbound

This paper cites From BIM to digital twins: A systematic review of the evolution of intelligent building representations in the AEC-FM industry.

AI-Generated Content in Landscape Architecture: A Survey From BIM to digital twins: A systematic review of the evolution of intelligent building representations in the AEC-FM industry

Reference 34

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This paper cites GenerativeAIenhancesindividual creativity but reduces the collective diversity of novel content.

AI-Generated Content in Landscape Architecture: A Survey GenerativeAIenhancesindividual creativity but reduces the collective diversity of novel content

Reference 35

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This paper cites Automatic classification of high resolution land cover using a new data weighting procedure: The combination of k-means clustering algorithm and central tendency measures (KMC–CTM).

AI-Generated Content in Landscape Architecture: A Survey Automatic classification of high resolution land cover using a new data weighting procedure: The combination of k-means clustering algorithm and central tendency measures (KMC–CTM)

Reference 36

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Observation c92d6e22-d24d-4cd3-8581-3ccc3fac6ae4 · outbound

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AI-Generated Content in Landscape Architecture: A Survey Art, science, technology, democracy and the landscape

Reference 37

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Observation bb5569f2-29a2-4c31-9d12-2c6b3a879f94 · outbound

This paper cites Image generation: A review.

AI-Generated Content in Landscape Architecture: A Survey Image generation: A review

Reference 38

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Observation 5754c348-c5f1-4e3a-a1b2-f592364c4c2b · outbound

This paper cites Artificial intelligence and parametric constructioncostestimatemodeling:State-of-the-artreview.Journal of Construction Engineering and Management 146, 03119008.

AI-Generated Content in Landscape Architecture: A Survey Artificial intelligence and parametric constructioncostestimatemodeling:State-of-the-artreview.Journal of Construction Engineering and Management 146, 03119008

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Observation 60b323ba-8c5a-4be2-8ea9-ecff3e68052d · outbound

This paper cites Deep learning for symbolsdetectionandclassificationinengineeringdrawings.Neural Networks 129, 91–102.

AI-Generated Content in Landscape Architecture: A Survey Deep learning for symbolsdetectionandclassificationinengineeringdrawings.Neural Networks 129, 91–102

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Observation 92c80df5-c148-45f5-aeef-e584a09e2e3e · outbound

This paper cites Digital landscape modeling and visualization: a research agenda.

AI-Generated Content in Landscape Architecture: A Survey Digital landscape modeling and visualization: a research agenda

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Observation dce45c61-01bc-4820-83a6-411bcce926b2 · outbound

This paper cites Lights,camera,action: high-throughput plant phenotyping is ready for a close-up.

AI-Generated Content in Landscape Architecture: A Survey Lights,camera,action: high-throughput plant phenotyping is ready for a close-up

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Observation bc9bb2ac-20ce-43f9-9101-237669871a54 · outbound

This paper cites What is personalization? perspectives on the design and implementation of personalization in information systems.

AI-Generated Content in Landscape Architecture: A Survey What is personalization? perspectives on the design and implementation of personalization in information systems

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Observation 661ec47c-37b7-4ce7-948c-dfd92f516c45 · outbound

This paper cites Interconnections of urban green spaces and environmental quality of tehran.

AI-Generated Content in Landscape Architecture: A Survey Interconnections of urban green spaces and environmental quality of tehran

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Observation 4b10c7cf-e823-4811-9489-38b1126a99cb · outbound

This paper cites Optimal planning of urban green- ingsysteminresponsetourbanmicroenvironmentsinahigh-density city using genetic algorithm: A case study of tianjin.

AI-Generated Content in Landscape Architecture: A Survey Optimal planning of urban green- ingsysteminresponsetourbanmicroenvironmentsinahigh-density city using genetic algorithm: A case study of tianjin

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Observation 3ef857fe-bc37-433e-bb84-ffae21199ccc · outbound

This paper cites Survey on synthetic data generation, evaluation methods and GANs.

AI-Generated Content in Landscape Architecture: A Survey Survey on synthetic data generation, evaluation methods and GANs

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Observation 42f7d78f-1610-42d6-936c-5c9b0310b93a · outbound

This paper cites The nature of landscape design and design process.

AI-Generated Content in Landscape Architecture: A Survey The nature of landscape design and design process

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Observation a1a999bc-a955-49e3-b553-869c86059890 · outbound

This paper cites Pattern mining: Current challenges and opportunities,in:InternationalConferenceonDatabaseSystemsfor Advanced Applications, Springer.

AI-Generated Content in Landscape Architecture: A Survey Pattern mining: Current challenges and opportunities,in:InternationalConferenceonDatabaseSystemsfor Advanced Applications, Springer

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Observation e65a86e9-a301-4875-9c6d-a0a234b468db · outbound

This paper cites A case study method for landscape architecture.

AI-Generated Content in Landscape Architecture: A Survey A case study method for landscape architecture

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Observation b13c94b0-da68-456f-bc29-65ab31157712 · outbound

This paper cites A robust deep- learning-baseddetectorforreal-timetomatoplantdiseasesandpests recognition.

AI-Generated Content in Landscape Architecture: A Survey A robust deep- learning-baseddetectorforreal-timetomatoplantdiseasesandpests recognition

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Observation 61ba5d64-70bd-4274-b13d-e89368600d96 · outbound

This paper cites Anomaly rule detection in sequence data.

AI-Generated Content in Landscape Architecture: A Survey Anomaly rule detection in sequence data

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Observation a9070c9c-0848-4745-9e2c-1d99354933ea · outbound

This paper cites Explain- ablefuzzyutilityminingonsequences.

AI-Generated Content in Landscape Architecture: A Survey Explain- ablefuzzyutilityminingonsequences

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Observation 661d02a8-765c-4059-8582-f4950d9eb1ee · outbound

This paper cites Data mining in distributedenvironment:asurvey.

AI-Generated Content in Landscape Architecture: A Survey Data mining in distributedenvironment:asurvey

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Observation 2927ce56-1f20-4687-b4fb-bcb2a3407354 · outbound

This paper cites A survey of parallel sequential pattern mining.

AI-Generated Content in Landscape Architecture: A Survey A survey of parallel sequential pattern mining

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Observation 1ce2c55e-f233-4295-bdb0-d5b5c836c950 · outbound

This paper cites Utility mining across multi-dimensional sequences.

AI-Generated Content in Landscape Architecture: A Survey Utility mining across multi-dimensional sequences

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Observation 3ba51f43-6e12-4929-9527-4597b43ccbeb · outbound

This paper cites Model-as-a-service (MaaS): A survey, in: IEEE International Conference on Big Data, IEEE.

AI-Generated Content in Landscape Architecture: A Survey Model-as-a-service (MaaS): A survey, in: IEEE International Conference on Big Data, IEEE

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Observation 50990da4-0d4d-4704-b0b9-0b23046bb3c3 · outbound

This paper cites Fusion of pixel and object-based features for weed mapping using unmanned aerial vehicle imagery.

AI-Generated Content in Landscape Architecture: A Survey Fusion of pixel and object-based features for weed mapping using unmanned aerial vehicle imagery

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Observation 60a2491f-e03d-4d97-93dd-fdce1d230d54 · outbound

This paper cites Chinese design in the era of artificial intelligence-basedonthecombingandthinkingofrelevanthottopics in 2023.

AI-Generated Content in Landscape Architecture: A Survey Chinese design in the era of artificial intelligence-basedonthecombingandthinkingofrelevanthottopics in 2023

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Observation a5b2b5d7-c6b7-4aa8-9464-ff2115dc3ced · outbound

This paper cites Deeplearning.

AI-Generated Content in Landscape Architecture: A Survey Deeplearning

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Observation f11e24e8-b0b9-4083-b46e-b8afb08215aa · outbound

This paper cites Generativeadversarial nets.

AI-Generated Content in Landscape Architecture: A Survey Generativeadversarial nets

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Observation 47889dc0-19aa-4876-88f5-6f83d6780ade · outbound

This paper cites Recent advances in convolutional neural networks.

AI-Generated Content in Landscape Architecture: A Survey Recent advances in convolutional neural networks

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Observation 861c4ac3-44e4-491c-9deb-bfe5bafc78d5 · outbound

This paper cites Aigc challenges and opportunitiesrelatedtopublicsafety:acasestudyofchatgpt.Journal of Safety Science and Resilience 4, 329–339.

AI-Generated Content in Landscape Architecture: A Survey Aigc challenges and opportunitiesrelatedtopublicsafety:acasestudyofchatgpt.Journal of Safety Science and Resilience 4, 329–339

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Observation f3afd924-f6a1-438d-b3bc-e3f5e5dde137 · outbound

This paper cites Theenhancedgeneticalgorithms for the optimization design, in: 3rd International Conference on Biomedical Engineering and Informatics, IEEE.

AI-Generated Content in Landscape Architecture: A Survey Theenhancedgeneticalgorithms for the optimization design, in: 3rd International Conference on Biomedical Engineering and Informatics, IEEE

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Observation a50d3888-5181-4285-95cd-58bc988880c6 · outbound

This paper cites Heritage applications of landscape design in environmental art based on image style migration.

AI-Generated Content in Landscape Architecture: A Survey Heritage applications of landscape design in environmental art based on image style migration

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Observation 28d8d0bc-30e7-4635-ab8b-37e50faa20cc · outbound

This paper cites Evaluating techniques for mapping island vegetation from unmanned aerial vehicle ([uav]) images: Pixel classification, visual interpretation and machine learning ap- proaches.

AI-Generated Content in Landscape Architecture: A Survey Evaluating techniques for mapping island vegetation from unmanned aerial vehicle ([uav]) images: Pixel classification, visual interpretation and machine learning ap- proaches

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Observation 1d5e43d2-542a-48b2-b7c3-713513920429 · outbound

This paper cites Deepresiduallearningfor image recognition, in: The IEEE Conference on Computer Vision and Pattern Recognition, IEEE.

AI-Generated Content in Landscape Architecture: A Survey Deepresiduallearningfor image recognition, in: The IEEE Conference on Computer Vision and Pattern Recognition, IEEE

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Observation 6c20a4c2-94cd-4bec-ac82-4106c3884564 · outbound

This paper cites Predictive models for daylight performance of general floorplans based on CNN and GAN: A proof-of-concept study.

AI-Generated Content in Landscape Architecture: A Survey Predictive models for daylight performance of general floorplans based on CNN and GAN: A proof-of-concept study

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Observation c68219f1-47b6-4db2-9404-10a21fa164a5 · outbound

This paper cites A fast learning algorithmfordeepbeliefnets.

AI-Generated Content in Landscape Architecture: A Survey A fast learning algorithmfordeepbeliefnets

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Observation 972bb0c1-ea66-401c-97bd-d9274343e175 · outbound

This paper cites Denoising diffusion probabilistic models.

AI-Generated Content in Landscape Architecture: A Survey Denoising diffusion probabilistic models

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Observation 5be0f40b-2ad8-4240-99f1-8cc5bbf205b2 · outbound

This paper cites Longshort-termmemory.

AI-Generated Content in Landscape Architecture: A Survey Longshort-termmemory

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Observation dafd6b51-f99d-413f-8b42-423e60fc8310 · outbound

This paper cites A niched pareto genetic algorithm for multi-objective optimization, in: First IEEE Conference on Evolutionary Computation, IEEE.

AI-Generated Content in Landscape Architecture: A Survey A niched pareto genetic algorithm for multi-objective optimization, in: First IEEE Conference on Evolutionary Computation, IEEE

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Observation 484fce1c-61b3-42a4-a845-7dd62952556d · outbound

This paper cites Graph2plan: Learning floorplan generation from layout graphs.

AI-Generated Content in Landscape Architecture: A Survey Graph2plan: Learning floorplan generation from layout graphs

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Observation 0457d822-1fd1-4fe7-88f7-2f2c0c524bbd · outbound

This paper cites Expatri- ates’ housing dispersal outlook in a rapidly developing metropolis based on urban growth predicted using a machine learning algo- rithm.

AI-Generated Content in Landscape Architecture: A Survey Expatri- ates’ housing dispersal outlook in a rapidly developing metropolis based on urban growth predicted using a machine learning algo- rithm

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Observation c835c229-9361-453c-bbe9-c10f80a8a66e · outbound

This paper cites An enhanced 3d model and generative adversarial network for automated generation of horizontal building mask images and cloudless aerial photographs.

AI-Generated Content in Landscape Architecture: A Survey An enhanced 3d model and generative adversarial network for automated generation of horizontal building mask images and cloudless aerial photographs

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Observation 59ebff98-42d7-4088-97ca-a65e3d255505 · outbound

This paper cites BIM for landscape.

AI-Generated Content in Landscape Architecture: A Survey BIM for landscape

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source=pdf_text observed=2026-08-08T10:46:36.938161Z digest=sha256:c818c0901aea203d6a3b286761c36b73ab5b31d54981e332e9a07485b032ec7b

Observation ae8d56fb-1283-4e2f-a1c0-ce8e49d52c14 · outbound

This paper cites Image-to-image translation with conditional adversarial networks, in: IEEE Confer- enceonComputerVisionandPatternRecognition,IEEE.pp.1125– 1134.

AI-Generated Content in Landscape Architecture: A Survey Image-to-image translation with conditional adversarial networks, in: IEEE Confer- enceonComputerVisionandPatternRecognition,IEEE.pp.1125– 1134

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Observation 197207de-c25b-4bec-a941-5438e6c763a1 · outbound

This paper cites Forestlandscapevisualqualityeval- uation using artificial intelligence techniques as a decision support system.

AI-Generated Content in Landscape Architecture: A Survey Forestlandscapevisualqualityeval- uation using artificial intelligence techniques as a decision support system

Reference 77

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Observation 334dbfea-ce9a-4231-927a-a83d4cea4750 · outbound

This paper cites Perception of urban soundscape and landscape using different visual environment reproduction methods in virtual reality.

AI-Generated Content in Landscape Architecture: A Survey Perception of urban soundscape and landscape using different visual environment reproduction methods in virtual reality

Reference 78

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Observation 3972c900-d39a-4db3-9734-0df882ee0ea9 · outbound

This paper cites Charac- terising the digital twin: A systematic literature review.

AI-Generated Content in Landscape Architecture: A Survey Charac- terising the digital twin: A systematic literature review

Reference 79

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Observation ecb70a8a-2d36-4f86-9a34-3e9442442b3e · outbound

This paper cites Design methods.

AI-Generated Content in Landscape Architecture: A Survey Design methods

Reference 80

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Observation 4b70064e-9aa5-4821-981e-ea3b3195417d · outbound

This paper cites Machine learning: Trends, perspectives, and prospects.

AI-Generated Content in Landscape Architecture: A Survey Machine learning: Trends, perspectives, and prospects

Reference 81

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Observation 47d48739-279f-4c46-a496-82c2875dff08 · outbound

This paper cites Flow-based image abstraction.

AI-Generated Content in Landscape Architecture: A Survey Flow-based image abstraction

Reference 82

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Observation 05fd2978-4a45-4853-80fa-eb982528ff42 · outbound

This paper cites ISPRS International Journal of Geo-Information 10, 137.

AI-Generated Content in Landscape Architecture: A Survey ISPRS International Journal of Geo-Information 10, 137

Reference 83

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Observation 55cfca0a-2254-4428-85e9-b4e691556aac · outbound

This paper cites an unresolved cited work.

AI-Generated Content in Landscape Architecture: A Survey Unresolved cited work

Reference 84

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Observation d4a4d6bf-cce9-41bf-8c04-6b99133413d7 · outbound

This paper cites an unresolved cited work.

AI-Generated Content in Landscape Architecture: A Survey Unresolved cited work

Reference 85

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Observation ccd6a595-0a96-4aeb-9f4d-1fc6d2ff77eb · outbound

This paper cites an unresolved cited work.

AI-Generated Content in Landscape Architecture: A Survey Unresolved cited work

Reference 86

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Observation 367940f6-ca69-45df-9075-f59ba76e3ffd · outbound

This paper cites Development of a synthetic dataset generation method for deep learning of real urban landscapes using a 3D model of a non-existing realistic city.

AI-Generated Content in Landscape Architecture: A Survey Development of a synthetic dataset generation method for deep learning of real urban landscapes using a 3D model of a non-existing realistic city

Reference 87

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Observation 1492cd2e-9e2c-4389-a46d-be93d31872c6 · outbound

This paper cites Auto-encoding variational bayes, in: The 2nd International Conference on Learning Representations.

AI-Generated Content in Landscape Architecture: A Survey Auto-encoding variational bayes, in: The 2nd International Conference on Learning Representations

Reference 88

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Observation 489f68bb-7576-46fc-be88-ce52eb0b97c8 · outbound

This paper cites Imagenet classi- fication with deep convolutional neural networks.

AI-Generated Content in Landscape Architecture: A Survey Imagenet classi- fication with deep convolutional neural networks

Reference 89

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Observation 60fa3b09-ae1a-4a53-a04a-d9992a95ea0b · outbound

This paper cites an unresolved cited work.

AI-Generated Content in Landscape Architecture: A Survey Unresolved cited work

Reference 90

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Observation 84534d09-7999-40e6-9164-3794b4cacf1a · outbound

This paper cites Large language models in law: A survey.

AI-Generated Content in Landscape Architecture: A Survey Large language models in law: A survey

Reference 91

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Observation 4824f752-7384-4a54-909f-612351249645 · outbound

This paper cites Deeplearning.

AI-Generated Content in Landscape Architecture: A Survey Deeplearning

Reference 92

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Observation f74a1407-c368-48ef-b73a-41832deb4c59 · outbound

This paper cites Research through designinginlandscapearchitecture.

AI-Generated Content in Landscape Architecture: A Survey Research through designinginlandscapearchitecture

Reference 93

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Observation b239bc88-9be9-400f-823d-d99aa17ed7c0 · outbound

This paper cites Contemporary urban planning.

AI-Generated Content in Landscape Architecture: A Survey Contemporary urban planning

Reference 94

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source=pdf_text observed=2026-08-08T10:46:37.012807Z digest=sha256:1d0e5cb7486bf9206074592587f7544bae49955f53d591e0eec3b98a65cba617

Observation 8d76d3bb-95be-4fba-b9b1-abb0a358b318 · outbound

This paper cites Advances and challenges in artificial intelligence text generation.

AI-Generated Content in Landscape Architecture: A Survey Advances and challenges in artificial intelligence text generation

Reference 95

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Observation 6b3ad5e8-0550-4ad7-b7d1-4cbea91c073c · outbound

This paper cites Advances,challengesandopportunitiesincreating data for trustworthy AI.

AI-Generated Content in Landscape Architecture: A Survey Advances,challengesandopportunitiesincreating data for trustworthy AI

Reference 96

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Observation 7f2b4f1f-7d7f-4ebe-9194-36b8a30ad317 · outbound

This paper cites Applicationofmodernurbanlandscapedesignbased onmachinelearningmodeltogenerateplantlandscaping.

AI-Generated Content in Landscape Architecture: A Survey Applicationofmodernurbanlandscapedesignbased onmachinelearningmodeltogenerateplantlandscaping

Reference 97

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source=pdf_text observed=2026-08-08T10:46:37.023716Z digest=sha256:e82918622cf1dee6042e3daacb09fa5e4c412e7a4dca0213f330dd889c0ad4fb

Observation d0a43a1a-703b-4cd1-af84-9cae1c3c96c1 · outbound

This paper cites Cogenerationofinnovative audio-visual content: A new challenge for computing art.

AI-Generated Content in Landscape Architecture: A Survey Cogenerationofinnovative audio-visual content: A new challenge for computing art

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source=pdf_text observed=2026-08-08T10:46:37.027298Z digest=sha256:5cc466433035e097a9231ecbebeacf9e42b124276f4dba894c29e6ed18353251

Observation 0a0930d3-d1cf-4867-9b26-2510690a8e22 · outbound

This paper cites Artificialintelligence-assistedcase- baseddesign:Acasestudyonurbantexturedarningsurroundingthe ancient city of nantou in shenzhen.

AI-Generated Content in Landscape Architecture: A Survey Artificialintelligence-assistedcase- baseddesign:Acasestudyonurbantexturedarningsurroundingthe ancient city of nantou in shenzhen

Reference 99

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source=pdf_text observed=2026-08-08T10:46:37.030673Z digest=sha256:983109cb4ce692655920f2efe139779c1b56165f4ee985aa3d576ec4c6b518b1

Observation e3791f34-af08-4d02-b683-c6d97adb5647 · outbound

This paper cites an unresolved cited work.

AI-Generated Content in Landscape Architecture: A Survey Unresolved cited work

Reference 100

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Pith citing papers

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