Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-08T10:46:37.034463Z
Paper Citation Record · LEDGER
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.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-08T10:46:37.034463Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00
Pith citing papers itemized under the disclosed page cap.
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A source-named dated measurement, never combined with another source.
Source: cited_works
100 of 194 outbound references displayed
External citation measurements
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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
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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
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AI-Generated Content in Landscape Architecture: A Survey Introduction to machine learning
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AI-Generated Content in Landscape Architecture: A Survey Creativity, artificial intelligence, and a world of surprises
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AI-Generated Content in Landscape Architecture: A Survey Determining uncertainties inAIapplicationsinAECsectorandtheircorrespondingmitigation strategies
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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
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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
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AI-Generated Content in Landscape Architecture: A Survey Substituting human decision-making with machine learning: Implications for organiza- tional learning
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AI-Generated Content in Landscape Architecture: A Survey Landscape ecological constructionandspatialpatternoptimizationdesignbasedongenetic algorithm optimization neural network
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AI-Generated Content in Landscape Architecture: A Survey A survey of augmented reality
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AI-Generated Content in Landscape Architecture: A Survey Key issues and research priorities for public participation GIS (PPGIS): A synthesis based on empirical research
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AI-Generated Content in Landscape Architecture: A Survey Physical environmental modeling, visualization and query for supporting landscape planning decisions
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AI-Generated Content in Landscape Architecture: A Survey Integratingquantitativeandqualitativeresearch: how is it done? Qualitative Research 6, 97–113
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AI-Generated Content in Landscape Architecture: A Survey Humandignityandhumanrights:Thoughtson the principles of human-centered design
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AI-Generated Content in Landscape Architecture: A Survey Smartirrigation monitoringandcontrolstrategiesforimprovingwateruseefficiency in precision agriculture: A review
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AI-Generated Content in Landscape Architecture: A Survey Isresearchkeepingupwith changes in landscape policy? a review of the literature
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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
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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)
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AI-Generated Content in Landscape Architecture: A Survey Art, science, technology, democracy and the landscape
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AI-Generated Content in Landscape Architecture: A Survey Deep learning for symbolsdetectionandclassificationinengineeringdrawings.Neural Networks 129, 91–102
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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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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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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
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
AI-Generated Content in Landscape Architecture: A Survey Applicationofmodernurbanlandscapedesignbased onmachinelearningmodeltogenerateplantlandscaping
Reference 97
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Observation d0a43a1a-703b-4cd1-af84-9cae1c3c96c1 · outbound
AI-Generated Content in Landscape Architecture: A Survey Cogenerationofinnovative audio-visual content: A new challenge for computing art
Reference 98
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Observation 0a0930d3-d1cf-4867-9b26-2510690a8e22 · outbound
AI-Generated Content in Landscape Architecture: A Survey Artificialintelligence-assistedcase- baseddesign:Acasestudyonurbantexturedarningsurroundingthe ancient city of nantou in shenzhen
Reference 99
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Observation e3791f34-af08-4d02-b683-c6d97adb5647 · outbound
AI-Generated Content in Landscape Architecture: A Survey Unresolved cited work
Reference 100
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No inbound Pith citation observations are available.