TRAJGANR: Trajectory-Centric Urban Multimodal Learning via Geospatially Aligned Neural Representations | Paper Citation Record

Observation bfb9f2fd-6490-4c36-943c-cfee2f67f3e9 · outbound

This paper cites Geolink: Empowering remote sensing foundation model with openstreetmap data.

TRAJGANR: Trajectory-Centric Urban Multimodal Learning via Geospatially Aligned Neural Representations Geolink: Empowering remote sensing foundation model with openstreetmap data

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-11T04:20:59.377833Z

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Observation 335f412e-d080-4feb-9982-2f74ea5f740f · outbound

This paper cites Accurate medium-range global weather forecasting with 3d neural networks.Nature, 619(7970):533–538.

TRAJGANR: Trajectory-Centric Urban Multimodal Learning via Geospatially Aligned Neural Representations Accurate medium-range global weather forecasting with 3d neural networks.Nature, 619(7970):533–538

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T16:22:05.063059Z

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Observation e20f4c7d-4ef0-4ffe-bfc1-ad9ca534030d · outbound

This paper cites AlphaEarth Foundations: An embedding field model for accurate and efficient global mapping from sparse label data.

TRAJGANR: Trajectory-Centric Urban Multimodal Learning via Geospatially Aligned Neural Representations AlphaEarth Foundations: An embedding field model for accurate and efficient global mapping from sparse label data

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-17T21:13:43.902893Z

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Observation 423c43c6-5409-4d9d-8f92-767cd0eb8ac0 · outbound

This paper cites Ciaosr: Continuous implicit attention-in-attention network for arbitrary-scale image super-resolution.

TRAJGANR: Trajectory-Centric Urban Multimodal Learning via Geospatially Aligned Neural Representations Ciaosr: Continuous implicit attention-in-attention network for arbitrary-scale image super-resolution

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T16:22:05.091529Z

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Observation fe43699b-d644-4ec4-983d-1ef3f8895b54 · outbound

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

TRAJGANR: Trajectory-Centric Urban Multimodal Learning via Geospatially Aligned Neural Representations Geoclip: Clip-inspired alignment between locations and images for effective worldwide geo-localization

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T16:22:05.055096Z

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Observation e12a9658-52e7-4918-b777-a429c40c4711 · outbound

This paper cites A simple framework for contrastive learning of visual representations.

TRAJGANR: Trajectory-Centric Urban Multimodal Learning via Geospatially Aligned Neural Representations A simple framework for contrastive learning of visual representations

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T16:22:05.125000Z

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Observation c7dc1864-5c40-48b7-8491-e20a5a73a5eb · outbound

This paper cites Trajvae: A variational autoencoder model for trajectory generation.Neurocomputing, 428:332–339.

TRAJGANR: Trajectory-Centric Urban Multimodal Learning via Geospatially Aligned Neural Representations Trajvae: A variational autoencoder model for trajectory generation.Neurocomputing, 428:332–339

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T16:22:05.050786Z

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Observation 53cc1b09-916b-4391-b06f-a24db529c602 · outbound

This paper cites Learning continuous image representation with local implicit image function.

TRAJGANR: Trajectory-Centric Urban Multimodal Learning via Geospatially Aligned Neural Representations Learning continuous image representation with local implicit image function

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T16:22:05.046370Z

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Observation 20f787ff-838c-44e1-b901-5960ff665261 · outbound

This paper cites Towards a trajectory-powered foundation model of mobility.

TRAJGANR: Trajectory-Centric Urban Multimodal Learning via Geospatially Aligned Neural Representations Towards a trajectory-powered foundation model of mobility

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T16:22:05.074205Z

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Observation ba27e59e-b207-4054-a0ec-ed50ba1c6568 · outbound

This paper cites S2vec: Self-supervised geospatial embeddings for the built environment.ACM Transactions on Spatial Algorithms and Systems.

TRAJGANR: Trajectory-Centric Urban Multimodal Learning via Geospatially Aligned Neural Representations S2vec: Self-supervised geospatial embeddings for the built environment.ACM Transactions on Spatial Algorithms and Systems

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T16:22:05.067013Z

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Observation 02aa1279-ac70-4cca-a2a2-202b1ca884a2 · outbound

This paper cites Functional map of the world.

TRAJGANR: Trajectory-Centric Urban Multimodal Learning via Geospatially Aligned Neural Representations Functional map of the world

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T16:22:05.078432Z

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Observation 34d79722-d6ae-4468-94b2-9d257ff6b056 · outbound

This paper cites Satmae: Pre-training transformers for temporal and multi-spectral satellite imagery.Advances in Neural Information Processing Systems, 35:197–211.

TRAJGANR: Trajectory-Centric Urban Multimodal Learning via Geospatially Aligned Neural Representations Satmae: Pre-training transformers for temporal and multi-spectral satellite imagery.Advances in Neural Information Processing Systems, 35:197–211

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T16:22:05.148395Z

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Observation 3cfca567-7a57-435e-9392-d1336b84773b · outbound

This paper cites Range: Retrieval augmented neural fields for multi-resolution geo-embeddings.

TRAJGANR: Trajectory-Centric Urban Multimodal Learning via Geospatially Aligned Neural Representations Range: Retrieval augmented neural fields for multi-resolution geo-embeddings

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T16:22:05.146522Z

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Observation c6cdb6bd-db0c-4f95-a699-95faea371854 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

TRAJGANR: Trajectory-Centric Urban Multimodal Learning via Geospatially Aligned Neural Representations An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-05-11T04:20:59.368104Z

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Observation 8c75ec28-8422-46f7-86d3-afdb1493d3c5 · outbound

This paper cites Croma: Remote sensing representations with contrastive radar-optical masked autoencoders.Advances in Neural Information Processing Systems, 36.

TRAJGANR: Trajectory-Centric Urban Multimodal Learning via Geospatially Aligned Neural Representations Croma: Remote sensing representations with contrastive radar-optical masked autoencoders.Advances in Neural Information Processing Systems, 36

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T16:22:05.048275Z

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Observation a7ebbad9-b152-4558-b0ca-15d71bd9b368 · outbound

This paper cites Implicit diffusion models for continuous super-resolution.

TRAJGANR: Trajectory-Centric Urban Multimodal Learning via Geospatially Aligned Neural Representations Implicit diffusion models for continuous super-resolution

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T16:22:05.130973Z

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Observation 155d4f0f-0aa8-488b-9bd1-cb9f37e0279a · outbound

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

TRAJGANR: Trajectory-Centric Urban Multimodal Learning via Geospatially Aligned Neural Representations Imagebind: One embedding space to bind them all

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T16:22:05.119387Z

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Observation f8ad5667-2078-4282-839f-6e0a1f9be363 · outbound

This paper cites Skysense: A multi-modal remote sensing foundation model towards universal interpretation for earth observation imagery.

TRAJGANR: Trajectory-Centric Urban Multimodal Learning via Geospatially Aligned Neural Representations Skysense: A multi-modal remote sensing foundation model towards universal interpretation for earth observation imagery

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T16:22:05.089683Z

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Observation 0646e9b8-2fc4-4508-88c1-50d4b9a226f0 · outbound

This paper cites Momentum contrast for unsupervised visual representation learning.

TRAJGANR: Trajectory-Centric Urban Multimodal Learning via Geospatially Aligned Neural Representations Momentum contrast for unsupervised visual representation learning

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T16:22:05.107104Z

Source-reported events for the cited work

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Observation 57e5e1e5-2a21-4b53-bac2-ec7b994ca47f · outbound

This paper cites Time2Vec: Learning a Vector Representation of Time.

TRAJGANR: Trajectory-Centric Urban Multimodal Learning via Geospatially Aligned Neural Representations Time2Vec: Learning a Vector Representation of Time

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-11T04:20:59.373044Z

Source-reported events for the cited work

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Observation ed8b7c36-939c-4e0b-aa8c-d29070264487 · outbound

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

TRAJGANR: Trajectory-Centric Urban Multimodal Learning via Geospatially Aligned Neural Representations Satclip: Global, general-purpose location embeddings with satellite imagery

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T16:22:05.080412Z

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Observation 5fc6b1ee-2ad3-49d9-95ee-338b4f86e886 · outbound

This paper cites Geochat: Grounded large vision-language model for remote sensing.

TRAJGANR: Trajectory-Centric Urban Multimodal Learning via Geospatially Aligned Neural Representations Geochat: Grounded large vision-language model for remote sensing

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T16:22:05.099262Z

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Observation f789455f-34fc-407b-9eb9-f92fac25c86e · outbound

This paper cites From lagging to leading: Validating hard braking events as high-density indicators of segment crash risk.

TRAJGANR: Trajectory-Centric Urban Multimodal Learning via Geospatially Aligned Neural Representations From lagging to leading: Validating hard braking events as high-density indicators of segment crash risk

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-11T04:20:59.315630Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c32541e4-7bb9-488e-aa19-eb8fec715a43 · outbound

This paper cites Remoteclip: A vision language foundation model for remote sensing.IEEE Transactions on Geoscience and Remote Sensing.

TRAJGANR: Trajectory-Centric Urban Multimodal Learning via Geospatially Aligned Neural Representations Remoteclip: A vision language foundation model for remote sensing.IEEE Transactions on Geoscience and Remote Sensing

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T16:22:05.068821Z

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Observation f3318ea3-c761-4342-877f-56a491895c4b · outbound

This paper cites trajGANs: Using generative adversarial networks for geo-privacy protection of trajectory data (vision paper).

TRAJGANR: Trajectory-Centric Urban Multimodal Learning via Geospatially Aligned Neural Representations trajGANs: Using generative adversarial networks for geo-privacy protection of trajectory data (vision paper)

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T16:22:05.116641Z

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Observation 05f52033-fda3-45b8-94e5-1cb2986e3b75 · outbound

This paper cites Gair: Location-aware self-supervised contrastive pre-training with geo-aligned implicit representations.ISPRS Journal of Photogrammetry and Remote Sensing.

TRAJGANR: Trajectory-Centric Urban Multimodal Learning via Geospatially Aligned Neural Representations Gair: Location-aware self-supervised contrastive pre-training with geo-aligned implicit representations.ISPRS Journal of Photogrammetry and Remote Sensing

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T16:22:05.152381Z

Source-reported events for the cited work

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Observation e9e0cf6d-0452-4a05-9704-78ce6bb0da95 · outbound

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

TRAJGANR: Trajectory-Centric Urban Multimodal Learning via Geospatially Aligned Neural Representations GAIR: Location-Aware Self-Supervised Contrastive Pre-Training with Geo-Aligned Implicit Representations

Reference 27

Resolution: verified exact; local_arxiv, observed 2026-05-11T04:20:59.353189Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 6172191d-008b-422b-9373-6e9b67410fc6 · outbound

This paper cites Towards a foundation model for geospatial artificial intelligence (vision paper).

TRAJGANR: Trajectory-Centric Urban Multimodal Learning via Geospatially Aligned Neural Representations Towards a foundation model for geospatial artificial intelligence (vision paper)

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T16:22:05.070660Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 1eab1ee7-e89d-4e5c-934e-f0bf5ab42503 · outbound

This paper cites Multi-scale repre- sentation learning for spatial feature distributions using grid cells.

TRAJGANR: Trajectory-Centric Urban Multimodal Learning via Geospatially Aligned Neural Representations Multi-scale repre- sentation learning for spatial feature distributions using grid cells

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T16:22:05.121190Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 6f6f69d0-9da4-4acf-93b2-18d4a3b384d8 · outbound

This paper cites Towards general-purpose representation learning of polygonal geometries.GeoInformatica, 27(2):289–340.

TRAJGANR: Trajectory-Centric Urban Multimodal Learning via Geospatially Aligned Neural Representations Towards general-purpose representation learning of polygonal geometries.GeoInformatica, 27(2):289–340

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T16:22:05.150280Z

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Observation 4be7c586-749a-41b6-a3d8-45f9f2a49f35 · outbound

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

TRAJGANR: Trajectory-Centric Urban Multimodal Learning via Geospatially Aligned Neural Representations Csp: Self-supervised contrastive spatial pre-training for geospatial-visual representations

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T16:22:05.082198Z

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Observation 45161153-f0ca-44d0-98e6-945216f55a23 · outbound

This paper cites Spectral properties of dynamical systems, model reduction and decompositions.

TRAJGANR: Trajectory-Centric Urban Multimodal Learning via Geospatially Aligned Neural Representations Spectral properties of dynamical systems, model reduction and decompositions

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T16:22:05.060881Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b4da7782-a719-4dc0-9bd9-99fa7ad01942 · outbound

This paper cites Srinivasan, Matthew Tancik, Jonathan T.

TRAJGANR: Trajectory-Centric Urban Multimodal Learning via Geospatially Aligned Neural Representations Srinivasan, Matthew Tancik, Jonathan T

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T16:22:05.144715Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e06f5699-691b-4d53-bbee-49fee9d7bebe · outbound

This paper cites Climax: A foundation model for weather and climate.

TRAJGANR: Trajectory-Centric Urban Multimodal Learning via Geospatially Aligned Neural Representations Climax: A foundation model for weather and climate

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T16:22:05.085731Z

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Observation de969b4b-c980-4454-b179-0d12b448fdfb · outbound

This paper cites Rethinking transformers pre-training for multi-spectral satellite imagery.

TRAJGANR: Trajectory-Centric Urban Multimodal Learning via Geospatially Aligned Neural Representations Rethinking transformers pre-training for multi-spectral satellite imagery

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T16:22:05.076573Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ebac4ae0-d7bd-48c5-96e0-d4a8c709e15c · outbound

This paper cites Representation Learning with Contrastive Predictive Coding.

TRAJGANR: Trajectory-Centric Urban Multimodal Learning via Geospatially Aligned Neural Representations Representation Learning with Contrastive Predictive Coding

Reference 36

Resolution: verified exact; local_arxiv, observed 2026-05-11T04:20:59.363416Z

Source-reported events for the cited work

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Observation 13c15616-e2c1-480a-880f-87c6a7d02d09 · outbound

This paper cites Geopix: A multimodal large language model for pixel-level image understanding in remote sensing.IEEE Geoscience and Remote Sensing Magazine.

TRAJGANR: Trajectory-Centric Urban Multimodal Learning via Geospatially Aligned Neural Representations Geopix: A multimodal large language model for pixel-level image understanding in remote sensing.IEEE Geoscience and Remote Sensing Magazine

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T16:22:05.087744Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7d958cfe-cfcb-477d-860b-adb49a45b0f7 · outbound

This paper cites Ecml/pkdd 15: Taxi trajectory prediction (i).Kaggle.

TRAJGANR: Trajectory-Centric Urban Multimodal Learning via Geospatially Aligned Neural Representations Ecml/pkdd 15: Taxi trajectory prediction (i).Kaggle

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T16:22:05.114567Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 596d673a-2fcb-4c8e-9428-edc9c4ab1015 · outbound

This paper cites Crawdad data set epfl/mobility (v.

TRAJGANR: Trajectory-Centric Urban Multimodal Learning via Geospatially Aligned Neural Representations Crawdad data set epfl/mobility (v

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T16:22:05.057162Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 25fd31c9-211c-4bad-ad8f-360dcbd5555a · outbound

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

TRAJGANR: Trajectory-Centric Urban Multimodal Learning via Geospatially Aligned Neural Representations Learning transferable visual models from natural language supervision

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T16:22:05.052971Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation daac66a3-e78d-46da-b424-172ba6586a07 · outbound

This paper cites Lstm-trajgan: A deep learning approach to trajectory privacy protection.

TRAJGANR: Trajectory-Centric Urban Multimodal Learning via Geospatially Aligned Neural Representations Lstm-trajgan: A deep learning approach to trajectory privacy protection

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T16:22:05.105019Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 49deaca0-d0a5-431c-ad18-8482d1ea205e · outbound

This paper cites an unresolved cited work.

TRAJGANR: Trajectory-Centric Urban Multimodal Learning via Geospatially Aligned Neural Representations Unresolved cited work

Reference 43

Resolution: unresolved; raw_fallback, observed 2026-05-14T16:22:05.072379Z

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Observation 8ea867b5-4726-458e-ab70-1259784fab98 · outbound

This paper cites Taxabind: A unified embedding space for ecological applications.

TRAJGANR: Trajectory-Centric Urban Multimodal Learning via Geospatially Aligned Neural Representations Taxabind: A unified embedding space for ecological applications

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T16:22:05.083958Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 72756540-0f44-4d98-bde0-152b8849ff59 · outbound

This paper cites Prithvi WxC: Foundation Model for Weather and Climate.

TRAJGANR: Trajectory-Centric Urban Multimodal Learning via Geospatially Aligned Neural Representations Prithvi WxC: Foundation Model for Weather and Climate

Reference 45

Resolution: verified exact; arxiv_id, observed 2026-05-11T04:20:59.340873Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 851a6e67-b28a-4945-b727-3c45cf2d29c2 · outbound

This paper cites Mobility-Embedded POIs: Learning What A Place Is and How It Is Used from Human Movement.

TRAJGANR: Trajectory-Centric Urban Multimodal Learning via Geospatially Aligned Neural Representations Mobility-Embedded POIs: Learning What A Place Is and How It Is Used from Human Movement

Reference 46

Resolution: verified exact; arxiv_id, observed 2026-06-09T02:06:11.981473Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation bd776326-42b5-4c7f-a432-7316b5eebb55 · outbound

This paper cites Toward foundation models for mobility enriched geospatially embedded objects.

TRAJGANR: Trajectory-Centric Urban Multimodal Learning via Geospatially Aligned Neural Representations Toward foundation models for mobility enriched geospatially embedded objects

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T16:22:05.097061Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 88655817-ef09-4a52-853f-654402bde610 · outbound

This paper cites Poly2vec: Polymorphic fourier-based encoding of geospatial objects for geoai applications.Proceedings of Machine Learning Research, 267:55511–55532.

TRAJGANR: Trajectory-Centric Urban Multimodal Learning via Geospatially Aligned Neural Representations Poly2vec: Polymorphic fourier-based encoding of geospatial objects for geoai applications.Proceedings of Machine Learning Research, 267:55511–55532

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T16:22:05.140323Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 02546058-5bf9-4f7e-b18b-9fa537e0c9f7 · outbound

This paper cites Im- plicit neural representations with periodic activation functions.Advances in neural information processing systems, 33:7462–7473.

TRAJGANR: Trajectory-Centric Urban Multimodal Learning via Geospatially Aligned Neural Representations Im- plicit neural representations with periodic activation functions.Advances in neural information processing systems, 33:7462–7473

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T16:22:05.142762Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c5a10f28-a7a3-44d8-bed9-d51e9d5f136c · outbound

This paper cites an unresolved cited work.

TRAJGANR: Trajectory-Centric Urban Multimodal Learning via Geospatially Aligned Neural Representations Unresolved cited work

Reference 50

Resolution: unresolved; raw_fallback, observed 2026-05-14T16:22:05.064882Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a7e50d62-7771-427a-91b9-fba508fc183f · outbound

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

TRAJGANR: Trajectory-Centric Urban Multimodal Learning via Geospatially Aligned Neural Representations Gomez, Lukasz Kaiser, and Illia Polosukhin

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T16:22:05.093255Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 1c169ed9-4f6c-45d1-86ae-410f745b8b6b · outbound

This paper cites Deep Learning for Classification Tasks on Geospatial Vector Polygons.

TRAJGANR: Trajectory-Centric Urban Multimodal Learning via Geospatially Aligned Neural Representations Deep Learning for Classification Tasks on Geospatial Vector Polygons

Reference 52

Resolution: verified exact; arxiv_id, observed 2026-07-04T23:42:00.470236Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 4683c120-cbc9-49b8-8538-2845454e035c · outbound

This paper cites Skyscript: A large and semantically diverse vision-language dataset for remote sensing.

TRAJGANR: Trajectory-Centric Urban Multimodal Learning via Geospatially Aligned Neural Representations Skyscript: A large and semantically diverse vision-language dataset for remote sensing

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T16:22:05.043940Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 6a7fcc82-a531-48e9-870d-778af0dd1f36 · outbound

This paper cites DOFA-CLIP: Multimodal Vision-Language Foundation Models for Earth Observation.

TRAJGANR: Trajectory-Centric Urban Multimodal Learning via Geospatially Aligned Neural Representations DOFA-CLIP: Multimodal Vision-Language Foundation Models for Earth Observation

Reference 54

Resolution: verified exact; arxiv_id, observed 2026-05-11T04:20:59.395954Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f8f5cba4-23dd-47b9-9350-68d4abc5651d · outbound

This paper cites Bert4traj: Transformer- based trajectory reconstruction for sparse mobility data.

TRAJGANR: Trajectory-Centric Urban Multimodal Learning via Geospatially Aligned Neural Representations Bert4traj: Transformer- based trajectory reconstruction for sparse mobility data

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T16:22:05.132731Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 73fec9be-edcf-41ad-91ab-573af2cea046 · outbound

This paper cites Polygongnn: Representation learning for polygonal geometries with heterogeneous visibility graph.

TRAJGANR: Trajectory-Centric Urban Multimodal Learning via Geospatially Aligned Neural Representations Polygongnn: Representation learning for polygonal geometries with heterogeneous visibility graph

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T16:22:05.112756Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 609b32c4-cf77-4e2b-8150-3d45078a48b3 · outbound

This paper cites A Trajectory K-Anonymity Model Based on Point Density and Partition.

TRAJGANR: Trajectory-Centric Urban Multimodal Learning via Geospatially Aligned Neural Representations A Trajectory K-Anonymity Model Based on Point Density and Partition

Reference 57

Resolution: verified exact; arxiv_id, observed 2026-05-11T04:20:59.387910Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5b052ec9-d849-40f0-b899-ac04cb6365c2 · outbound

This paper cites Sigmoid loss for language image pre-training.

TRAJGANR: Trajectory-Centric Urban Multimodal Learning via Geospatially Aligned Neural Representations Sigmoid loss for language image pre-training

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T16:22:05.110901Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 6e443ea3-6eea-4ea2-b0d0-7d77ce71ebd9 · outbound

This paper cites Skyeyegpt: Unifying remote sensing vision- language tasks via instruction tuning with large language model.ISPRS Journal of Photogram- metry and Remote Sensing, 221:64–77.

TRAJGANR: Trajectory-Centric Urban Multimodal Learning via Geospatially Aligned Neural Representations Skyeyegpt: Unifying remote sensing vision- language tasks via instruction tuning with large language model.ISPRS Journal of Photogram- metry and Remote Sensing, 221:64–77

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T16:22:05.103111Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 4616041d-195c-495b-9f95-60c3cd3c4d7b · outbound

This paper cites Earthgpt: A universal multi-modal large language model for multi-sensor image comprehension in remote sensing domain.IEEE Transactions on Geoscience and Remote Sensing.

TRAJGANR: Trajectory-Centric Urban Multimodal Learning via Geospatially Aligned Neural Representations Earthgpt: A universal multi-modal large language model for multi-sensor image comprehension in remote sensing domain.IEEE Transactions on Geoscience and Remote Sensing

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T16:22:05.136514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e5971f88-e0c4-4fb9-a874-274011c80f6d · outbound

This paper cites Rs5m and georsclip: A large- scale vision-language dataset and a large vision-language model for remote sensing.IEEE Transactions on Geoscience and Remote Sensing, 62:1–23.

TRAJGANR: Trajectory-Centric Urban Multimodal Learning via Geospatially Aligned Neural Representations Rs5m and georsclip: A large- scale vision-language dataset and a large vision-language model for remote sensing.IEEE Transactions on Geoscience and Remote Sensing, 62:1–23

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T16:22:05.059097Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 597d3130-3ad5-426a-99f5-dc07ba4118dc · outbound

This paper cites Unitr: A unified framework for joint representation learning of trajectories and road networks.

TRAJGANR: Trajectory-Centric Urban Multimodal Learning via Geospatially Aligned Neural Representations Unitr: A unified framework for joint representation learning of trajectories and road networks

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T16:22:05.128958Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 49db5902-5863-4577-a03b-fad859122842 · outbound

This paper cites Road network representation learning with the third law of geography.Advances in Neural Information Processing Systems, 37:11789–11813.

TRAJGANR: Trajectory-Centric Urban Multimodal Learning via Geospatially Aligned Neural Representations Road network representation learning with the third law of geography.Advances in Neural Information Processing Systems, 37:11789–11813

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T16:22:05.134601Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 14732b82-b595-4815-8d4a-bd1b00f2e450 · outbound

This paper cites Deepmove: Learning place representations through large scale movement data.

TRAJGANR: Trajectory-Centric Urban Multimodal Learning via Geospatially Aligned Neural Representations Deepmove: Learning place representations through large scale movement data

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T16:22:05.095060Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c7eaa6bc-e648-4d36-9f92-aa5c080a237d · outbound

This paper cites Omni-weather: Unified multimodal foundation model for weather generation and understanding.

TRAJGANR: Trajectory-Centric Urban Multimodal Learning via Geospatially Aligned Neural Representations Omni-weather: Unified multimodal foundation model for weather generation and understanding

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T16:22:05.138372Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ee79442c-d9b9-4d25-93d2-eee1291f2989 · outbound

This paper cites Skysense-o: Towards open-world remote sensing interpretation with vision-centric visual-language modeling.

TRAJGANR: Trajectory-Centric Urban Multimodal Learning via Geospatially Aligned Neural Representations Skysense-o: Towards open-world remote sensing interpretation with vision-centric visual-language modeling

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T16:22:05.123047Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 2cbb08dc-8dbf-4d13-a9e0-8fb110a59fbc · outbound

This paper cites Difftraj: Generating gps trajectory with diffusion probabilistic model.Advances in Neural Information Processing Systems, 36:65168–65188.

TRAJGANR: Trajectory-Centric Urban Multimodal Learning via Geospatially Aligned Neural Representations Difftraj: Generating gps trajectory with diffusion probabilistic model.Advances in Neural Information Processing Systems, 36:65168–65188

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T16:22:05.101208Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 4c91db19-b747-46e5-b914-5ae43517750a · outbound

This paper cites Unitraj: Learning a universal trajectory foundation model from billion-scale worldwide traces.

TRAJGANR: Trajectory-Centric Urban Multimodal Learning via Geospatially Aligned Neural Representations Unitraj: Learning a universal trajectory foundation model from billion-scale worldwide traces

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T16:22:05.126888Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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