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Paper Citation Record · LEDGER

UrbanFusion: Stochastic Multimodal Fusion for Contrastive Learning of Robust Spatial Representations

As of 18 August 2026, this Paper Citation Record lists 81 of 81 outbound references and 2 inbound Pith citation observations for arXiv:2510.13774.

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

pith.paper-citation-record.v1
2510.13774 v2

Coverage vector

measured 81 of 81 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T09:47:09.321775Z

measured 83 of 83 standing notices

One-hop event checks from named stored sources.

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

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T04:54:11.970813Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-02T01:16:25.161857Z

Reference resolution

81 of 81 outbound references displayed

  • verified exact1
  • verified fuzzy0
  • unresolved80
  • parse uncertain0
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d3f1e3e5-13ca-4f03-b23e-14a31f32cfd3 · outbound

This paper cites General Geospatial Inference with a Population Dynamics Foundation Model.

UrbanFusion: Stochastic Multimodal Fusion for Contrastive Learning of Robust Spatial Representations General Geospatial Inference with a Population Dynamics Foundation Model

Reference 1

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Observation f337204f-6f9e-4be6-9c94-02586dded7d1 · outbound

This paper cites Optuna: A next-generation hyperparameter optimization framework.

UrbanFusion: Stochastic Multimodal Fusion for Contrastive Learning of Robust Spatial Representations Optuna: A next-generation hyperparameter optimization framework

Reference 2

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Observation 298c9420-2bd4-415d-aa60-1caf46332d5b · outbound

This paper cites Crime open database (code).

UrbanFusion: Stochastic Multimodal Fusion for Contrastive Learning of Robust Spatial Representations Crime open database (code)

Reference 3

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Observation 8b9e30fb-d671-4d3e-a172-7c7c1feb909d · outbound

This paper cites Self-supervised learning from images with a joint-embedding predictive architecture.

UrbanFusion: Stochastic Multimodal Fusion for Contrastive Learning of Robust Spatial Representations Self-supervised learning from images with a joint-embedding predictive architecture

Reference 4

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Observation ebbe51c2-e2f9-462c-8002-adca5c610659 · outbound

This paper cites Layer Normalization.

UrbanFusion: Stochastic Multimodal Fusion for Contrastive Learning of Robust Spatial Representations Layer Normalization

Reference 5

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Observation 79ada243-e428-4b01-a0c6-9d9098c359d5 · outbound

This paper cites The im algorithm: a variational approach to information maximization.

UrbanFusion: Stochastic Multimodal Fusion for Contrastive Learning of Robust Spatial Representations The im algorithm: a variational approach to information maximization

Reference 6

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Observation e10031b5-d67f-4942-a0c9-e4d7b1226e05 · outbound

This paper cites Pattern recognition and machine learning, volume 4.

UrbanFusion: Stochastic Multimodal Fusion for Contrastive Learning of Robust Spatial Representations Pattern recognition and machine learning, volume 4

Reference 7

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Observation 73adf43e-b41b-4c17-8cb2-842e171a65f6 · outbound

This paper cites Language models are few-shot learners.

UrbanFusion: Stochastic Multimodal Fusion for Contrastive Learning of Robust Spatial Representations Language models are few-shot learners

Reference 8

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Observation 62190a45-31fd-42ed-b9f1-f09b24959291 · outbound

This paper cites Unsupervised Urban Land Use Mapping with Street View Contrastive Clustering and a Geographical Prior.

UrbanFusion: Stochastic Multimodal Fusion for Contrastive Learning of Robust Spatial Representations Unsupervised Urban Land Use Mapping with Street View Contrastive Clustering and a Geographical Prior

Reference 9

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Observation 5c47f802-6baa-47fb-9c5e-ca3ed8dd87ae · outbound

This paper cites an unresolved cited work.

UrbanFusion: Stochastic Multimodal Fusion for Contrastive Learning of Robust Spatial Representations Unresolved cited work

Reference 10

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Observation fc96b5ff-01dd-4ada-a749-8227f8519d9a · outbound

This paper cites Functional map of the world.

UrbanFusion: Stochastic Multimodal Fusion for Contrastive Learning of Robust Spatial Representations Functional map of the world

Reference 11

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Observation ab9b717e-8655-4381-8e41-2a2b207924cc · outbound

This paper cites Urban atlas land cover land use 2018 (vector), europe.

UrbanFusion: Stochastic Multimodal Fusion for Contrastive Learning of Robust Spatial Representations Urban atlas land cover land use 2018 (vector), europe

Reference 12

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Observation 50083610-679a-4506-863a-502c252ffaec · outbound

This paper cites The use of urban analytics in strategic planning – a case study of the greater sydney region plan.

UrbanFusion: Stochastic Multimodal Fusion for Contrastive Learning of Robust Spatial Representations The use of urban analytics in strategic planning – a case study of the greater sydney region plan

Reference 13

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Observation 158c3a86-3fcc-41ff-a566-8a0ee3507c55 · outbound

This paper cites Data commons 2024, cdc places, electronic dataset.

UrbanFusion: Stochastic Multimodal Fusion for Contrastive Learning of Robust Spatial Representations Data commons 2024, cdc places, electronic dataset

Reference 14

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Observation ed25b5fc-3fee-407f-81fc-fb546a3e07e3 · outbound

This paper cites Imagenet: A large-scale hierarchical image database.

UrbanFusion: Stochastic Multimodal Fusion for Contrastive Learning of Robust Spatial Representations Imagenet: A large-scale hierarchical image database

Reference 15

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Observation 6387c7f4-4ab4-412a-b11c-c02534cd5e5c · outbound

This paper cites Postcode level all domestic meters electricity 2023.

UrbanFusion: Stochastic Multimodal Fusion for Contrastive Learning of Robust Spatial Representations Postcode level all domestic meters electricity 2023

Reference 16

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Observation 75b8e02b-bf9d-421a-a6e8-8e51d41cba22 · outbound

This paper cites RANGE: Retrieval Augmented Neural Fields for Multi-Resolution Geo-Embeddings.

UrbanFusion: Stochastic Multimodal Fusion for Contrastive Learning of Robust Spatial Representations RANGE: Retrieval Augmented Neural Fields for Multi-Resolution Geo-Embeddings

Reference 17

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Observation 897d965a-1597-4d5c-b4d7-b72d2dbdfa68 · outbound

This paper cites Climplicit: Climatic implicit embeddings for global ecological tasks.

UrbanFusion: Stochastic Multimodal Fusion for Contrastive Learning of Robust Spatial Representations Climplicit: Climatic implicit embeddings for global ecological tasks

Reference 18

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Observation 49b20ace-1b95-4c9c-b6c1-1c3e6a541c87 · outbound

This paper cites An image is worth 16x16 words: Transformers for image recognition at scale.

UrbanFusion: Stochastic Multimodal Fusion for Contrastive Learning of Robust Spatial Representations An image is worth 16x16 words: Transformers for image recognition at scale

Reference 19

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Observation 47479961-3a1c-462a-b255-63c17d6160d9 · outbound

This paper cites Drusch, U.

UrbanFusion: Stochastic Multimodal Fusion for Contrastive Learning of Robust Spatial Representations Drusch, U

Reference 20

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Observation cb90015d-89fe-4895-ac1c-1068c093b9e7 · outbound

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UrbanFusion: Stochastic Multimodal Fusion for Contrastive Learning of Robust Spatial Representations Unresolved cited work

Reference 21

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Observation 910d0a87-da2e-433f-af15-71f41db81177 · outbound

This paper cites What to align in multimodal contrastive learning? In Proceedings of the International Conference on Learning Representations (ICLR), 2025.

UrbanFusion: Stochastic Multimodal Fusion for Contrastive Learning of Robust Spatial Representations What to align in multimodal contrastive learning? In Proceedings of the International Conference on Learning Representations (ICLR), 2025

Reference 22

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Observation 1792162f-2189-4907-87d9-dfa590ac6626 · outbound

This paper cites Uk postcodes with latitude and longitude.

UrbanFusion: Stochastic Multimodal Fusion for Contrastive Learning of Robust Spatial Representations Uk postcodes with latitude and longitude

Reference 23

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Observation 8d57a055-cdb5-47aa-91da-1976bebc9385 · outbound

This paper cites SimCSE : Simple contrastive learning of sentence embeddings.

UrbanFusion: Stochastic Multimodal Fusion for Contrastive Learning of Robust Spatial Representations SimCSE : Simple contrastive learning of sentence embeddings

Reference 24

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Observation c7fadd3e-bfe8-46af-820f-923fd73ca171 · outbound

This paper cites Imagebind: One embedding space to bind them all.

UrbanFusion: Stochastic Multimodal Fusion for Contrastive Learning of Robust Spatial Representations Imagebind: One embedding space to bind them all

Reference 25

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Observation 45bcd07c-ada5-4b41-9729-9cc0d3f6638c · outbound

This paper cites Street view static api.

UrbanFusion: Stochastic Multimodal Fusion for Contrastive Learning of Robust Spatial Representations Street view static api

Reference 26

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UrbanFusion: Stochastic Multimodal Fusion for Contrastive Learning of Robust Spatial Representations Gorelick, M

Reference 27

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UrbanFusion: Stochastic Multimodal Fusion for Contrastive Learning of Robust Spatial Representations Momentum contrast for unsupervised visual representation learning

Reference 28

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UrbanFusion: Stochastic Multimodal Fusion for Contrastive Learning of Robust Spatial Representations Masked autoencoders are scalable vision learners

Reference 29

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UrbanFusion: Stochastic Multimodal Fusion for Contrastive Learning of Robust Spatial Representations Gaussian Error Linear Units (GELUs)

Reference 30

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UrbanFusion: Stochastic Multimodal Fusion for Contrastive Learning of Robust Spatial Representations Trueskill: a bayesian skill rating system

Reference 31

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Observation 1786d5b9-dadb-421a-918d-0a6c78be5874 · outbound

This paper cites Evaluating geospatial context information for travel mode detection.

UrbanFusion: Stochastic Multimodal Fusion for Contrastive Learning of Robust Spatial Representations Evaluating geospatial context information for travel mode detection

Reference 32

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Observation bb6350b9-d8d7-4996-92d8-62321b333797 · outbound

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UrbanFusion: Stochastic Multimodal Fusion for Contrastive Learning of Robust Spatial Representations Lo RA : Low-rank adaptation of large language models

Reference 33

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UrbanFusion: Stochastic Multimodal Fusion for Contrastive Learning of Robust Spatial Representations Foundation Models for Generalist Geospatial Artificial Intelligence

Reference 34

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UrbanFusion: Stochastic Multimodal Fusion for Contrastive Learning of Robust Spatial Representations MixLight: Borrowing the Best of both Spherical Harmonics and Gaussian Models

Reference 35

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UrbanFusion: Stochastic Multimodal Fusion for Contrastive Learning of Robust Spatial Representations Kingma and Jimmy Ba

Reference 36

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This paper cites Satclip: Global, general-purpose location embeddings with satellite imagery.

UrbanFusion: Stochastic Multimodal Fusion for Contrastive Learning of Robust Spatial Representations Satclip: Global, general-purpose location embeddings with satellite imagery

Reference 37

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Observation 397d497b-391d-4120-9b37-1caaf5816371 · outbound

This paper cites Challenges in data-driven geospatial modeling for environmental research and practice.

UrbanFusion: Stochastic Multimodal Fusion for Contrastive Learning of Robust Spatial Representations Challenges in data-driven geospatial modeling for environmental research and practice

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Observation bf489922-db64-4063-a15a-639e76d35e2c · outbound

This paper cites u ttler, Mike Lewis, Wen-tau Yih, Tim Rockt\.

UrbanFusion: Stochastic Multimodal Fusion for Contrastive Learning of Robust Spatial Representations u ttler, Mike Lewis, Wen-tau Yih, Tim Rockt\

Reference 39

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Observation 330b15a8-5e19-4e42-889c-b6ea8c62b4b6 · outbound

This paper cites Factorized contrastive learning: Going beyond multi-view redundancy.

UrbanFusion: Stochastic Multimodal Fusion for Contrastive Learning of Robust Spatial Representations Factorized contrastive learning: Going beyond multi-view redundancy

Reference 40

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Observation 8984444f-9e4c-4f3e-94b5-0f412dbdd7eb · outbound

This paper cites GAIR: Location-Aware Self-Supervised Contrastive Pre-Training with Geo-Aligned Implicit Representations.

UrbanFusion: Stochastic Multimodal Fusion for Contrastive Learning of Robust Spatial Representations GAIR: Location-Aware Self-Supervised Contrastive Pre-Training with Geo-Aligned Implicit Representations

Reference 41

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Observation 65d2331d-028c-4191-9868-8dcd4ecc9e2a · outbound

This paper cites Decoupled weight decay regularization.

UrbanFusion: Stochastic Multimodal Fusion for Contrastive Learning of Robust Spatial Representations Decoupled weight decay regularization

Reference 42

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Observation c6baa22c-476a-407b-a239-a3069a7ec9ac · outbound

This paper cites Csp: Self-supervised contrastive spatial pre-training for geospatial-visual representations.

UrbanFusion: Stochastic Multimodal Fusion for Contrastive Learning of Robust Spatial Representations Csp: Self-supervised contrastive spatial pre-training for geospatial-visual representations

Reference 43

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Observation f28ee70a-6a2b-4ce9-8f1f-a2f4b2909445 · outbound

This paper cites Towards the next generation of geospatial artificial intelligence.

UrbanFusion: Stochastic Multimodal Fusion for Contrastive Learning of Robust Spatial Representations Towards the next generation of geospatial artificial intelligence

Reference 44

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Observation 9a434929-1af4-40c5-9316-e4ef913156d7 · outbound

This paper cites M\"uhlematter, Michelle Halbheer, Alexander Becker, Dominik Narnhofer, Helge Aasen, Konrad Schindler, and Mehmet Ozgur Turkoglu.

UrbanFusion: Stochastic Multimodal Fusion for Contrastive Learning of Robust Spatial Representations M\"uhlematter, Michelle Halbheer, Alexander Becker, Dominik Narnhofer, Helge Aasen, Konrad Schindler, and Mehmet Ozgur Turkoglu

Reference 45

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Observation 9b0b7a2f-d72c-4ac8-9ebc-1c626ff97eb0 · outbound

This paper cites Probabilistic road classification in historical maps using synthetic data and deep learning.

UrbanFusion: Stochastic Multimodal Fusion for Contrastive Learning of Robust Spatial Representations Probabilistic road classification in historical maps using synthetic data and deep learning

Reference 46

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Observation 316001b7-20b4-447e-9b92-edab7cfcbd4b · outbound

This paper cites Mühlematter, Nina Wiedemann, Yanan Xin, and Martin Raubal.

UrbanFusion: Stochastic Multimodal Fusion for Contrastive Learning of Robust Spatial Representations Mühlematter, Nina Wiedemann, Yanan Xin, and Martin Raubal

Reference 47

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Observation 11da7ae1-1fee-44e9-9623-dfbfa47e8532 · outbound

This paper cites Representation Learning with Contrastive Predictive Coding.

UrbanFusion: Stochastic Multimodal Fusion for Contrastive Learning of Robust Spatial Representations Representation Learning with Contrastive Predictive Coding

Reference 48

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Observation ce934631-21e7-46b7-9f04-28af10f3fbf6 · outbound

This paper cites Planet dump retrieved from https://planet.osm.org.

UrbanFusion: Stochastic Multimodal Fusion for Contrastive Learning of Robust Spatial Representations Planet dump retrieved from https://planet.osm.org

Reference 49

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Observation 7f07520f-88c6-4660-be26-e3f8efac3ae1 · outbound

This paper cites Oshan, Ziqi Li, Wei Kang, Levi J.

UrbanFusion: Stochastic Multimodal Fusion for Contrastive Learning of Robust Spatial Representations Oshan, Ziqi Li, Wei Kang, Levi J

Reference 50

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Observation b9bab2ac-9252-4b22-b9b2-8766198ad5ad · outbound

This paper cites PyTorch : an imperative style, high-performance deep learning library.

UrbanFusion: Stochastic Multimodal Fusion for Contrastive Learning of Robust Spatial Representations PyTorch : an imperative style, high-performance deep learning library

Reference 51

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Observation 62ac29f9-5e79-445c-8add-d4176804086d · outbound

This paper cites Pedregosa, G.

UrbanFusion: Stochastic Multimodal Fusion for Contrastive Learning of Robust Spatial Representations Pedregosa, G

Reference 52

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Observation acb51044-13a4-404a-af95-0152acb08bca · outbound

This paper cites Learning transferable visual models from natural language supervision.

UrbanFusion: Stochastic Multimodal Fusion for Contrastive Learning of Robust Spatial Representations Learning transferable visual models from natural language supervision

Reference 53

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Observation 50bb1d21-c301-49e5-ab63-b59bc4df913a · outbound

This paper cites A stochastic approximation method.

UrbanFusion: Stochastic Multimodal Fusion for Contrastive Learning of Robust Spatial Representations A stochastic approximation method

Reference 54

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Observation 551db35f-9b53-4989-90d2-a9ea3cb491cc · outbound

This paper cites an unresolved cited work.

UrbanFusion: Stochastic Multimodal Fusion for Contrastive Learning of Robust Spatial Representations Unresolved cited work

Reference 55

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Observation 69e4b197-5184-4eff-ae11-fb6351aa41f9 · outbound

This paper cites Geographic location encoding with spherical harmonics and sinusoidal representation networks.

UrbanFusion: Stochastic Multimodal Fusion for Contrastive Learning of Robust Spatial Representations Geographic location encoding with spherical harmonics and sinusoidal representation networks

Reference 56

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Observation 35fd0430-1f69-4129-9f9a-7df5003e53ae · outbound

This paper cites Community search signatures as foundation features for human-centered geospatial modeling.

UrbanFusion: Stochastic Multimodal Fusion for Contrastive Learning of Robust Spatial Representations Community search signatures as foundation features for human-centered geospatial modeling

Reference 57

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Observation 2aeb6893-0044-4042-9ead-d2bfa8aceafb · outbound

This paper cites Fourier features let networks learn high frequency functions in low dimensional domains.

UrbanFusion: Stochastic Multimodal Fusion for Contrastive Learning of Robust Spatial Representations Fourier features let networks learn high frequency functions in low dimensional domains

Reference 58

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Observation 84c3fc80-b535-494d-8cb3-3ef8675ae97c · outbound

This paper cites World Urbanization Prospects: The 2018 Revision.

UrbanFusion: Stochastic Multimodal Fusion for Contrastive Learning of Robust Spatial Representations World Urbanization Prospects: The 2018 Revision

Reference 59

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Observation 4450cc1e-3b2f-4da1-95ca-a624a04a4432 · outbound

This paper cites World Cities Report 2024: Cities and Climate Action.

UrbanFusion: Stochastic Multimodal Fusion for Contrastive Learning of Robust Spatial Representations World Cities Report 2024: Cities and Climate Action

Reference 60

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Observation 8d3ea7e1-ddd3-4b74-bddb-048ae9bed9cd · outbound

This paper cites Geological Survey, Earth Resources Observation and Science Center.

UrbanFusion: Stochastic Multimodal Fusion for Contrastive Learning of Robust Spatial Representations Geological Survey, Earth Resources Observation and Science Center

Reference 61

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Observation faff5fd8-7267-4153-a89b-3b0dfc047f7b · outbound

This paper cites The iNaturalist species classification and detection dataset.

UrbanFusion: Stochastic Multimodal Fusion for Contrastive Learning of Robust Spatial Representations The iNaturalist species classification and detection dataset

Reference 62

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Observation 7c449eb6-c36b-431b-a457-b0b7a4a1b0ab · outbound

This paper cites Gomez, Lukasz Kaiser, and Illia Polosukhin.

UrbanFusion: Stochastic Multimodal Fusion for Contrastive Learning of Robust Spatial Representations Gomez, Lukasz Kaiser, and Illia Polosukhin

Reference 63

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Observation 78af4288-5082-46fe-a3c5-a7fcf23b57ba · outbound

This paper cites Geoclip: Clip-inspired alignment between locations and images for effective worldwide geo-localization.

UrbanFusion: Stochastic Multimodal Fusion for Contrastive Learning of Robust Spatial Representations Geoclip: Clip-inspired alignment between locations and images for effective worldwide geo-localization

Reference 64

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Observation 29824d79-0c05-4a9e-b2e1-ebcddef65c6e · outbound

This paper cites Combining deep learning and street view imagery to map smallholder crop types.

UrbanFusion: Stochastic Multimodal Fusion for Contrastive Learning of Robust Spatial Representations Combining deep learning and street view imagery to map smallholder crop types

Reference 65

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Observation c72e2f60-1ac8-4fbb-8a49-51175793b5d1 · outbound

This paper cites Multi-modal contrastive learning of urban space representations from poi data.

UrbanFusion: Stochastic Multimodal Fusion for Contrastive Learning of Robust Spatial Representations Multi-modal contrastive learning of urban space representations from poi data

Reference 66

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Observation ccfb40d2-6801-4994-9b7f-9d00adf2b3c9 · outbound

This paper cites SSL4EO-S12: A Large-Scale Multi-Modal, Multi-Temporal Dataset for Self-Supervised Learning in Earth Observation.

UrbanFusion: Stochastic Multimodal Fusion for Contrastive Learning of Robust Spatial Representations SSL4EO-S12: A Large-Scale Multi-Modal, Multi-Temporal Dataset for Self-Supervised Learning in Earth Observation

Reference 67

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Observation ff5254c4-a34a-4a2e-9b9e-3cc7b9e2a987 · outbound

This paper cites Urban2vec: Incorporating street view imagery and pois for multi-modal urban neighborhood embedding.

UrbanFusion: Stochastic Multimodal Fusion for Contrastive Learning of Robust Spatial Representations Urban2vec: Incorporating street view imagery and pois for multi-modal urban neighborhood embedding

Reference 68

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Observation fb9cad1f-eaab-4b78-9382-bdcd526a3cdf · outbound

This paper cites Spatio–temporal effects in GeoAI : From predictability to evaluation.

UrbanFusion: Stochastic Multimodal Fusion for Contrastive Learning of Robust Spatial Representations Spatio–temporal effects in GeoAI : From predictability to evaluation

Reference 69

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source=arxiv_source observed=2026-08-04T09:47:07.910805Z digest=sha256:7421debb0da70d75737e19bd05768a3e02044f434571fd12849cc2c2c7c354fe

Observation 0659e166-8a1c-47f5-86cd-5cb5939775dc · outbound

This paper cites Nonnegative Decomposition of Multivariate Information.

UrbanFusion: Stochastic Multimodal Fusion for Contrastive Learning of Robust Spatial Representations Nonnegative Decomposition of Multivariate Information

Reference 70

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source=arxiv_source observed=2026-08-04T09:47:08.053736Z digest=sha256:48f266164498e18085f10e020e8d5f8ed6d1faebaedb29af85dc5e113eb36506

Observation 009a8614-6281-4290-bb75-05c871f3a399 · outbound

This paper cites London house price data.

UrbanFusion: Stochastic Multimodal Fusion for Contrastive Learning of Robust Spatial Representations London house price data

Reference 71

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source=arxiv_source observed=2026-08-04T09:47:08.171880Z digest=sha256:3775d27e429ab332af8909308c0e9660a6e00f80ecd997764a3878068b9c6f6a

Observation 3ab6a91f-e674-4ba0-8be9-fa308c6ecbff · outbound

This paper cites C-Pack: Packed Resources For General Chinese Embeddings.

UrbanFusion: Stochastic Multimodal Fusion for Contrastive Learning of Robust Spatial Representations C-Pack: Packed Resources For General Chinese Embeddings

Reference 72

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source=arxiv_source observed=2026-08-04T09:47:08.312141Z digest=sha256:0cfd74c80d229ef996e5ef8a403292913868d44f2f69bf87712a5813d33d5096

Observation 2a368db4-7b10-468b-a425-e3ad3f4cbdcf · outbound

This paper cites Mapping fine scale urban housing prices by fusing remotely sensed imagery and social media data.

UrbanFusion: Stochastic Multimodal Fusion for Contrastive Learning of Robust Spatial Representations Mapping fine scale urban housing prices by fusing remotely sensed imagery and social media data

Reference 73

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Observation d8a4486d-175f-4a53-95d5-d4480b0e2582 · outbound

This paper cites Gps2vec: Towards generating worldwide gps embeddings.

UrbanFusion: Stochastic Multimodal Fusion for Contrastive Learning of Robust Spatial Representations Gps2vec: Towards generating worldwide gps embeddings

Reference 74

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Observation fc8780c5-10c2-4d9f-bc6f-f54aabc6a4c2 · outbound

This paper cites Learning multi-context aware location representations from large-scale geotagged images.

UrbanFusion: Stochastic Multimodal Fusion for Contrastive Learning of Robust Spatial Representations Learning multi-context aware location representations from large-scale geotagged images

Reference 75

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UrbanFusion: Stochastic Multimodal Fusion for Contrastive Learning of Robust Spatial Representations Multimodal contrastive training for visual representation learning

Reference 76

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This paper cites The equal earth map projection.

UrbanFusion: Stochastic Multimodal Fusion for Contrastive Learning of Robust Spatial Representations The equal earth map projection

Reference 77

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UrbanFusion: Stochastic Multimodal Fusion for Contrastive Learning of Robust Spatial Representations write newline

Reference 78

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UrbanFusion: Stochastic Multimodal Fusion for Contrastive Learning of Robust Spatial Representations @esa (Ref

Reference 79

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UrbanFusion: Stochastic Multimodal Fusion for Contrastive Learning of Robust Spatial Representations Unresolved cited work

Reference 80

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UrbanFusion: Stochastic Multimodal Fusion for Contrastive Learning of Robust Spatial Representations Unresolved cited work

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Pith citing papers

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Enhancing the Socioeconomic Understanding of Foundation Models with Urban Mobility cites this paper.

Enhancing the Socioeconomic Understanding of Foundation Models with Urban Mobility UrbanFusion: Stochastic Multimodal Fusion for Contrastive Learning of Robust Spatial Representations

Reference 28

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Multi-Agent Collaborative Reasoning with Tool-Augmented Evidence for Urban Region Profiling cites this paper.

Multi-Agent Collaborative Reasoning with Tool-Augmented Evidence for Urban Region Profiling UrbanFusion: Stochastic Multimodal Fusion for Contrastive Learning of Robust Spatial Representations

Reference 38

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