Paper Citation Record · LEDGER

GAIR: Location-Aware Self-Supervised Contrastive Pre-Training with Geo-Aligned Implicit Representations

As of 8 August 2026, this Paper Citation Record lists 85 of 85 outbound references and 4 inbound Pith citation observations for arXiv:2503.16683.

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

pith.paper-citation-record.v1
2503.16683 v2

Coverage vector

measured 85 of 85 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-22T22:41:00.027266Z

measured 89 of 89 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T09:47:05.107809Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-02T21:17:25.035862Z

Reference resolution

85 of 85 outbound references displayed

verified exact13
verified fuzzy65
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 185e4a80-f7af-4d95-93bf-a551e4087572 · outbound

This paper cites Pretrain a remote sensing foundation model by pro- moting intra-instance similarity.

GAIR: Location-Aware Self-Supervised Contrastive Pre-Training with Geo-Aligned Implicit Representations Pretrain a remote sensing foundation model by pro- moting intra-instance similarity

Reference 1

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Observation ac6808f9-2852-4a51-9159-92c2b11e20cd · outbound

This paper cites Omnisat: Self-supervised modality fusion for earth observation.

GAIR: Location-Aware Self-Supervised Contrastive Pre-Training with Geo-Aligned Implicit Representations Omnisat: Self-supervised modality fusion for earth observation

Reference 2

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This paper cites Omnisat: Self-supervised modality fusion for earth observation.

GAIR: Location-Aware Self-Supervised Contrastive Pre-Training with Geo-Aligned Implicit Representations Omnisat: Self-supervised modality fusion for earth observation

Reference 3

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Observation 442f51a9-9d04-4a06-8a3d-e6260bc904ac · outbound

This paper cites Geography-aware self-supervised learning.

GAIR: Location-Aware Self-Supervised Contrastive Pre-Training with Geo-Aligned Implicit Representations Geography-aware self-supervised learning

Reference 4

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Observation f71ced3d-d7e9-4af6-bbf0-8db479366ae7 · outbound

This paper cites Towards fine resolution global maps of crop yields: Testing multiple methods and satellites in three countries.

GAIR: Location-Aware Self-Supervised Contrastive Pre-Training with Geo-Aligned Implicit Representations Towards fine resolution global maps of crop yields: Testing multiple methods and satellites in three countries

Reference 5

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Observation a2f4e900-9ef1-4a43-910e-400a2b8e6e29 · outbound

This paper cites Satlaspretrain: A large-scale dataset for remote sensing image understanding.

GAIR: Location-Aware Self-Supervised Contrastive Pre-Training with Geo-Aligned Implicit Representations Satlaspretrain: A large-scale dataset for remote sensing image understanding

Reference 6

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Observation a5f7cf82-bbc0-4aa4-bb18-556c987a529a · outbound

This paper cites Bird- snap: Large-scale fine-grained visual categorization of birds.

GAIR: Location-Aware Self-Supervised Contrastive Pre-Training with Geo-Aligned Implicit Representations Bird- snap: Large-scale fine-grained visual categorization of birds

Reference 7

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This paper cites Traffic transformer: Capturing the continuity and periodicity of time series for traffic forecasting.

GAIR: Location-Aware Self-Supervised Contrastive Pre-Training with Geo-Aligned Implicit Representations Traffic transformer: Capturing the continuity and periodicity of time series for traffic forecasting

Reference 8

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Observation 4de60ae0-b1e9-46ba-ae0f-43b56a9ecdd3 · outbound

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

GAIR: Location-Aware Self-Supervised Contrastive Pre-Training with Geo-Aligned Implicit Representations Ciaosr: Continuous implicit attention-in- attention network for arbitrary-scale image super-resolution

Reference 9

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Observation 59736694-c17e-4230-a923-8e15ef57799d · outbound

This paper cites Emerg- ing properties in self-supervised vision transformers.

GAIR: Location-Aware Self-Supervised Contrastive Pre-Training with Geo-Aligned Implicit Representations Emerg- ing properties in self-supervised vision transformers

Reference 10

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Observation 8315cdb6-4cac-4994-9897-41fab25192e4 · outbound

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

GAIR: Location-Aware Self-Supervised Contrastive Pre-Training with Geo-Aligned Implicit Representations A simple framework for contrastive learning of visual representations

Reference 11

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Observation 7ed57719-9bd5-40fd-9bdd-75fbd04748f4 · outbound

This paper cites An Empirical Study of Training Self-Supervised Vision Transformers.

GAIR: Location-Aware Self-Supervised Contrastive Pre-Training with Geo-Aligned Implicit Representations An Empirical Study of Training Self-Supervised Vision Transformers

Reference 12

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Observation ba34f53c-16b1-48a2-9d92-719ce5a1a9fd · outbound

This paper cites Learning contin- uous image representation with local implicit image function.

GAIR: Location-Aware Self-Supervised Contrastive Pre-Training with Geo-Aligned Implicit Representations Learning contin- uous image representation with local implicit image function

Reference 13

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Observation 5b9069ae-721f-4840-902e-e4597dd31da7 · outbound

This paper cites Spatial implicit neural representations for global-scale species mapping.

GAIR: Location-Aware Self-Supervised Contrastive Pre-Training with Geo-Aligned Implicit Representations Spatial implicit neural representations for global-scale species mapping

Reference 14

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Observation b34fb5e3-167b-49fb-ae10-9453d314332d · outbound

This paper cites Satmae: Pre-training transformers for tempo- ral and multi-spectral satellite imagery.

GAIR: Location-Aware Self-Supervised Contrastive Pre-Training with Geo-Aligned Implicit Representations Satmae: Pre-training transformers for tempo- ral and multi-spectral satellite imagery

Reference 15

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Observation 45d77026-ee35-422e-b1ba-88136229bdf1 · outbound

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

GAIR: Location-Aware Self-Supervised Contrastive Pre-Training with Geo-Aligned Implicit Representations Imagenet: A large-scale hierarchical image database

Reference 16

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Observation abf82755-dd9d-40b0-93cb-b36334fe0438 · outbound

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

GAIR: Location-Aware Self-Supervised Contrastive Pre-Training with Geo-Aligned Implicit Representations An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 17

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Observation 9f1e4968-0b05-4002-aff6-cb22d203b0b0 · outbound

This paper cites COIN: COmpression with Implicit Neural representations.

GAIR: Location-Aware Self-Supervised Contrastive Pre-Training with Geo-Aligned Implicit Representations COIN: COmpression with Implicit Neural representations

Reference 18

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Observation c9fe61dd-58e0-4456-ab75-4c1bd6b6d702 · outbound

This paper cites Urban visual intelligence: Uncovering hidden city profiles with street view images.

GAIR: Location-Aware Self-Supervised Contrastive Pre-Training with Geo-Aligned Implicit Representations Urban visual intelligence: Uncovering hidden city profiles with street view images

Reference 19

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Observation d80db256-d86f-490b-9291-74b63fea3a69 · outbound

This paper cites Croma: Remote sensing representations with contrastive radar-optical masked autoencoders.

GAIR: Location-Aware Self-Supervised Contrastive Pre-Training with Geo-Aligned Implicit Representations Croma: Remote sensing representations with contrastive radar-optical masked autoencoders

Reference 20

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Observation e0c259dd-e0cf-45eb-8883-a7fd29bad381 · outbound

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

GAIR: Location-Aware Self-Supervised Contrastive Pre-Training with Geo-Aligned Implicit Representations Implicit diffusion models for continuous super-resolution

Reference 21

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Observation 2f19c6fb-d36a-4ac3-aa80-6c82b4ca9c05 · outbound

This paper cites Lightweight temporal self-attention for classifying satellite images time series.

GAIR: Location-Aware Self-Supervised Contrastive Pre-Training with Geo-Aligned Implicit Representations Lightweight temporal self-attention for classifying satellite images time series

Reference 22

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Observation c42b9e1f-0f1d-4170-a4d5-b0b01c793001 · outbound

This paper cites Bootstrap your own latent-a new approach to self-supervised learning.

GAIR: Location-Aware Self-Supervised Contrastive Pre-Training with Geo-Aligned Implicit Representations Bootstrap your own latent-a new approach to self-supervised learning

Reference 23

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Observation ed8ebb75-dac3-4c1d-9db8-6bbf6de210da · outbound

This paper cites Skysense: A multi-modal remote sensing 9 foundation model towards universal interpretation for earth observation imagery.

GAIR: Location-Aware Self-Supervised Contrastive Pre-Training with Geo-Aligned Implicit Representations Skysense: A multi-modal remote sensing 9 foundation model towards universal interpretation for earth observation imagery

Reference 24

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This paper cites Deep learning for multi-year enso forecasts.

GAIR: Location-Aware Self-Supervised Contrastive Pre-Training with Geo-Aligned Implicit Representations Deep learning for multi-year enso forecasts

Reference 25

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Observation b7e7dda5-864f-49c1-bf07-221cd53d9509 · outbound

This paper cites Momentum contrast for unsupervised visual rep- resentation learning.

GAIR: Location-Aware Self-Supervised Contrastive Pre-Training with Geo-Aligned Implicit Representations Momentum contrast for unsupervised visual rep- resentation learning

Reference 26

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Observation c06ca1f5-32d4-4d8f-b7e1-58855f2bc529 · outbound

This paper cites Masked autoencoders are scalable vision learners.

GAIR: Location-Aware Self-Supervised Contrastive Pre-Training with Geo-Aligned Implicit Representations Masked autoencoders are scalable vision learners

Reference 27

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This paper cites Spectralgpt: Spectral remote sensing foundation model.

GAIR: Location-Aware Self-Supervised Contrastive Pre-Training with Geo-Aligned Implicit Representations Spectralgpt: Spectral remote sensing foundation model

Reference 28

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Observation 4b175fb0-47e7-424c-a32f-583efa7a91f8 · outbound

This paper cites Global streetscapes—a comprehensive dataset of 10 million street-level images across 688 cities for urban science and analytics.

GAIR: Location-Aware Self-Supervised Contrastive Pre-Training with Geo-Aligned Implicit Representations Global streetscapes—a comprehensive dataset of 10 million street-level images across 688 cities for urban science and analytics

Reference 29

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GAIR: Location-Aware Self-Supervised Contrastive Pre-Training with Geo-Aligned Implicit Representations Unresolved cited work

Reference 30

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This paper cites Spatial transformer networks.

GAIR: Location-Aware Self-Supervised Contrastive Pre-Training with Geo-Aligned Implicit Representations Spatial transformer networks

Reference 31

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Observation 004cfdd8-4ec9-4013-b302-b25eef27a304 · outbound

This paper cites SenCLIP: Enhancing zero-shot land-use mapping for Sentinel-2 with ground-level prompting.

GAIR: Location-Aware Self-Supervised Contrastive Pre-Training with Geo-Aligned Implicit Representations SenCLIP: Enhancing zero-shot land-use mapping for Sentinel-2 with ground-level prompting

Reference 32

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This paper cites Multimodal contrastive learning for remote sensing tasks.

GAIR: Location-Aware Self-Supervised Contrastive Pre-Training with Geo-Aligned Implicit Representations Multimodal contrastive learning for remote sensing tasks

Reference 33

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Observation 1ee0a183-e67a-4cfc-926a-0cbea94d3141 · outbound

This paper cites Foundation Models for Generalist Geospatial Artificial Intelligence.

GAIR: Location-Aware Self-Supervised Contrastive Pre-Training with Geo-Aligned Implicit Representations Foundation Models for Generalist Geospatial Artificial Intelligence

Reference 34

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Observation 02f782e8-4e92-4ae4-9a5c-48b3feb22a75 · outbound

This paper cites Combining satellite imagery and machine learning to predict poverty.

GAIR: Location-Aware Self-Supervised Contrastive Pre-Training with Geo-Aligned Implicit Representations Combining satellite imagery and machine learning to predict poverty

Reference 35

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Observation 52ffd856-9011-4016-b907-6750f0a3c2dc · outbound

This paper cites SatCLIP: Global, General-Purpose Location Embeddings with Satellite Imagery.

GAIR: Location-Aware Self-Supervised Contrastive Pre-Training with Geo-Aligned Implicit Representations SatCLIP: Global, General-Purpose Location Embeddings with Satellite Imagery

Reference 36

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Observation 83135db3-db0d-42dd-bba6-9eb9e1c6b53a · outbound

This paper cites Improving openstreetmap missing build- ing detection using few-shot transfer learning in sub-saharan africa.

GAIR: Location-Aware Self-Supervised Contrastive Pre-Training with Geo-Aligned Implicit Representations Improving openstreetmap missing build- ing detection using few-shot transfer learning in sub-saharan africa

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T22:42:14.242278Z

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Observation ac4da5ae-4036-41c0-bab4-14fc380d808b · outbound

This paper cites Rethink geographical gener- alizability with unsupervised self-attention model ensemble: A case study of openstreetmap missing building detection in africa.

GAIR: Location-Aware Self-Supervised Contrastive Pre-Training with Geo-Aligned Implicit Representations Rethink geographical gener- alizability with unsupervised self-attention model ensemble: A case study of openstreetmap missing building detection in africa

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T22:42:14.127151Z

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Observation 435cbfcd-70af-405b-bde8-e7d48cf9bc66 · outbound

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

GAIR: Location-Aware Self-Supervised Contrastive Pre-Training with Geo-Aligned Implicit Representations Remoteclip: A vision language foundation model for remote sensing.IEEE Transactions on Geoscience and Remote Sensing

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T22:42:14.283022Z

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Observation d0bfc8e0-9482-459c-900a-22187a67deae · outbound

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

GAIR: Location-Aware Self-Supervised Contrastive Pre-Training with Geo-Aligned Implicit Representations Swin transformer: Hierarchical vision transformer using shifted windows

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T22:42:14.142808Z

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Observation b8935d92-8ee9-422d-ad93-332e52e864ad · outbound

This paper cites Semantic segmen- tation of crop type in africa: A novel dataset and analysis of deep learning methods.

GAIR: Location-Aware Self-Supervised Contrastive Pre-Training with Geo-Aligned Implicit Representations Semantic segmen- tation of crop type in africa: A novel dataset and analysis of deep learning methods

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T22:42:14.279950Z

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Observation d51872a9-a1be-437b-b1b5-c96ca05441d2 · outbound

This paper cites Presence- only geographical priors for fine-grained image classification.

GAIR: Location-Aware Self-Supervised Contrastive Pre-Training with Geo-Aligned Implicit Representations Presence- only geographical priors for fine-grained image classification

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T22:42:14.191993Z

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Observation 5efd5e4c-59fc-495a-b446-41764170761b · outbound

This paper cites Se-kge: A location- aware knowledge graph embedding model for geographic question answering and spatial semantic lifting.

GAIR: Location-Aware Self-Supervised Contrastive Pre-Training with Geo-Aligned Implicit Representations Se-kge: A location- aware knowledge graph embedding model for geographic question answering and spatial semantic lifting

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T22:42:14.139483Z

Source-reported events for the cited work

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Observation ab066c55-5d4d-4d85-81f0-6a5677b7bec4 · outbound

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

GAIR: Location-Aware Self-Supervised Contrastive Pre-Training with Geo-Aligned Implicit Representations Multi-scale representation learning for spatial feature distributions using grid cells

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T22:42:14.114692Z

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 acaa15c7-2248-4388-99d7-32002de6c159 · outbound

This paper cites Multi-Scale Representation Learning for Spatial Feature Distributions using Grid Cells.

GAIR: Location-Aware Self-Supervised Contrastive Pre-Training with Geo-Aligned Implicit Representations Multi-Scale Representation Learning for Spatial Feature Distributions using Grid Cells

Reference 45

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GAIR: Location-Aware Self-Supervised Contrastive Pre-Training with Geo-Aligned Implicit Representations Csp: Self-supervised contrastive spatial pre- training for geospatial-visual representations

Reference 46

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GAIR: Location-Aware Self-Supervised Contrastive Pre-Training with Geo-Aligned Implicit Representations Sphere2vec: A general-purpose location representation learning over a spherical surface for large-scale geospatial predictions

Reference 47

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This paper cites On the opportunities and challenges of foundation models for geoai (vision paper).

GAIR: Location-Aware Self-Supervised Contrastive Pre-Training with Geo-Aligned Implicit Representations On the opportunities and challenges of foundation models for geoai (vision paper)

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T22:42:14.148842Z

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This paper cites Towards the next generation of geospatial artificial intel- ligence.

GAIR: Location-Aware Self-Supervised Contrastive Pre-Training with Geo-Aligned Implicit Representations Towards the next generation of geospatial artificial intel- ligence

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T22:42:14.172383Z

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Observation d6677cdd-b199-4ff4-82d7-4a0ed5439279 · outbound

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GAIR: Location-Aware Self-Supervised Contrastive Pre-Training with Geo-Aligned Implicit Representations Seasonal contrast: Unsuper- vised pre-training from uncurated remote sensing data

Reference 50

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Observation bba4870d-03be-4627-9237-50a1a09255b0 · outbound

This paper cites Pangaea: A global and inclusive benchmark for geospatial foundation models.

GAIR: Location-Aware Self-Supervised Contrastive Pre-Training with Geo-Aligned Implicit Representations Pangaea: A global and inclusive benchmark for geospatial foundation models

Reference 51

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Observation 4b37f7e5-02bc-44c8-aa74-4d8cf3ab258f · outbound

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GAIR: Location-Aware Self-Supervised Contrastive Pre-Training with Geo-Aligned Implicit Representations Towards Geospatial Foundation Models via Continual Pretraining

Reference 52

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Observation cb0e21eb-f3e4-4dee-9941-bbe63fcfff66 · outbound

This paper cites Occupancy networks: Learning 3d reconstruction in function space.

GAIR: Location-Aware Self-Supervised Contrastive Pre-Training with Geo-Aligned Implicit Representations Occupancy networks: Learning 3d reconstruction in function space

Reference 53

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Observation 6f31ae5e-c667-4f6f-ae78-c5fda0768376 · outbound

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GAIR: Location-Aware Self-Supervised Contrastive Pre-Training with Geo-Aligned Implicit Representations ClimaX: A foundation model for weather and climate

Reference 54

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Observation b53f411a-70d2-43a5-b099-6a64821ed13e · outbound

This paper cites DINOv2: Learning Robust Visual Features without Supervision.

GAIR: Location-Aware Self-Supervised Contrastive Pre-Training with Geo-Aligned Implicit Representations DINOv2: Learning Robust Visual Features without Supervision

Reference 55

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Observation e68a0560-f29e-44dd-a77f-4ea07ce6e5e9 · outbound

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GAIR: Location-Aware Self-Supervised Contrastive Pre-Training with Geo-Aligned Implicit Representations Ai4smallfarms: A dataset for crop field delineation in south- east asian smallholder farms

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T22:42:14.218766Z

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Observation 603f3a11-25d2-4af9-bed6-27743bfe55c6 · outbound

This paper cites Learning transferable visual models from natural language supervi- sion.

GAIR: Location-Aware Self-Supervised Contrastive Pre-Training with Geo-Aligned Implicit Representations Learning transferable visual models from natural language supervi- sion

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T22:42:14.117904Z

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Observation 77d48b03-59f8-4518-9e70-fcc0f04ce143 · outbound

This paper cites Scale-mae: A scale-aware masked autoencoder for multiscale geospatial representation learning.

GAIR: Location-Aware Self-Supervised Contrastive Pre-Training with Geo-Aligned Implicit Representations Scale-mae: A scale-aware masked autoencoder for multiscale geospatial representation learning

Reference 58

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Observation da3f9165-6fd6-4cdb-abc1-44214a5f3fd0 · outbound

This paper cites A generalizable and accessible approach to machine learning with global satellite imagery.

GAIR: Location-Aware Self-Supervised Contrastive Pre-Training with Geo-Aligned Implicit Representations A generalizable and accessible approach to machine learning with global satellite imagery

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T22:42:14.080499Z

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GAIR: Location-Aware Self-Supervised Contrastive Pre-Training with Geo-Aligned Implicit Representations Implicit neural representa- tions with periodic activation functions

Reference 60

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Observation 6d0c4a45-adac-435e-aa30-4630aba5f76e · outbound

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GAIR: Location-Aware Self-Supervised Contrastive Pre-Training with Geo-Aligned Implicit Representations Ssl4eo-l: Datasets and foundation models for landsat imagery

Reference 61

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Observation a5192b51-9b24-4956-a086-f73b55b6430c · outbound

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GAIR: Location-Aware Self-Supervised Contrastive Pre-Training with Geo-Aligned Implicit Representations Self-supervised learn- ing of remote sensing scene representations using contrastive multiview coding

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T22:42:14.102958Z

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Observation 0a5e538c-ea1b-4f7e-abb6-3f4c710e179c · outbound

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GAIR: Location-Aware Self-Supervised Contrastive Pre-Training with Geo-Aligned Implicit Representations ebird: A citizen- based bird observation network in the biological sciences

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T22:42:14.271076Z

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Observation 3ae8a42a-eb4e-4641-bbca-913bf5b3b830 · outbound

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GAIR: Location-Aware Self-Supervised Contrastive Pre-Training with Geo-Aligned Implicit Representations Ringmo: A remote sensing foundation model with masked image modeling

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T22:42:14.083074Z

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Observation 5a448ba5-b0d8-4916-a3ec-c5b77baf287f · outbound

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GAIR: Location-Aware Self-Supervised Contrastive Pre-Training with Geo-Aligned Implicit Representations Rethinking the inception ar- chitecture for computer vision

Reference 65

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Observation 8f61e2c3-3cbb-4732-b611-85c791eefc45 · outbound

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GAIR: Location-Aware Self-Supervised Contrastive Pre-Training with Geo-Aligned Implicit Representations Fourier features let networks learn high frequency functions in low dimen- sional domains

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T22:42:14.157448Z

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Observation aa03c8b8-7d7f-47d2-a8e1-50ef09948286 · outbound

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GAIR: Location-Aware Self-Supervised Contrastive Pre-Training with Geo-Aligned Implicit Representations Building a bird recognition app and large scale dataset with citizen scientists: The fine print in fine-grained dataset collection

Reference 67

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GAIR: Location-Aware Self-Supervised Contrastive Pre-Training with Geo-Aligned Implicit Representations The inaturalist species classification and detection dataset

Reference 68

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Observation 388cd3ba-7ad4-405a-a462-b9bb435afc97 · outbound

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GAIR: Location-Aware Self-Supervised Contrastive Pre-Training with Geo-Aligned Implicit Representations Geoclip: Clip-inspired alignment between locations and images for effective worldwide geo-localization

Reference 69

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GAIR: Location-Aware Self-Supervised Contrastive Pre-Training with Geo-Aligned Implicit Representations Image as a foreign lan- guage: Beit pretraining for vision and vision-language tasks

Reference 70

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GAIR: Location-Aware Self-Supervised Contrastive Pre-Training with Geo-Aligned Implicit Representations Extending global-local view alignment for self-supervised learning with remote sensing imagery

Reference 71

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GAIR: Location-Aware Self-Supervised Contrastive Pre-Training with Geo-Aligned Implicit Representations Mapping human perception of urban landscape from street- view images: A deep-learning approach

Reference 72

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GAIR: Location-Aware Self-Supervised Contrastive Pre-Training with Geo-Aligned Implicit Representations Visual transformers: Token-based image representation and processing for com- puter vision

Reference 73

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Observation 86283004-f821-47b2-b0c7-fe4e34ed34a7 · outbound

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GAIR: Location-Aware Self-Supervised Contrastive Pre-Training with Geo-Aligned Implicit Representations TorchSpatial: A Location Encoding Framework and Benchmark for Spatial Representation Learning

Reference 74

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Observation 7155e268-f7c4-4a75-8ae2-0ab69fe20831 · outbound

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GAIR: Location-Aware Self-Supervised Contrastive Pre-Training with Geo-Aligned Implicit Representations Unified perceptual parsing for scene understanding

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T22:42:14.090371Z

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Observation 020ec91c-21f9-4d20-b727-e4607acf20e3 · outbound

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GAIR: Location-Aware Self-Supervised Contrastive Pre-Training with Geo-Aligned Implicit Representations Neural plasticity-inspired foundation model for observing the earth crossing modalities

Reference 76

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GAIR: Location-Aware Self-Supervised Contrastive Pre-Training with Geo-Aligned Implicit Representations Yahoo flickr creative commons 100m

Reference 77

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Observation 2f1badda-273d-4a6b-9ff8-ba2f8e0ed5cb · outbound

This paper cites SustainBench: Benchmarks for Monitoring the Sustainable Development Goals with Machine Learning.

GAIR: Location-Aware Self-Supervised Contrastive Pre-Training with Geo-Aligned Implicit Representations SustainBench: Benchmarks for Monitoring the Sustainable Development Goals with Machine Learning

Reference 78

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This paper cites Deep gaussian process for crop yield pre- diction based on remote sensing data.

GAIR: Location-Aware Self-Supervised Contrastive Pre-Training with Geo-Aligned Implicit Representations Deep gaussian process for crop yield pre- diction based on remote sensing data

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T22:42:14.074994Z

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Observation 4c9cbac0-4338-4363-8c2c-daf047fb5528 · outbound

This paper cites Spatial-RAG: Spatial Retrieval Augmented Generation for Real-World Geospatial Reasoning Questions.

GAIR: Location-Aware Self-Supervised Contrastive Pre-Training with Geo-Aligned Implicit Representations Spatial-RAG: Spatial Retrieval Augmented Generation for Real-World Geospatial Reasoning Questions

Reference 80

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Observation 9360e7ad-46b8-4a89-b012-5edc7636da80 · outbound

This paper cites Vinvl: Revisiting visual representations in vision-language models.

GAIR: Location-Aware Self-Supervised Contrastive Pre-Training with Geo-Aligned Implicit Representations Vinvl: Revisiting visual representations in vision-language models

Reference 81

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Observation 0b31495b-099d-404f-ab7e-8b9f6d705f61 · outbound

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Reference 82

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Observation b449dbda-6bb4-4705-a414-0821c17cfca5 · outbound

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Reference 83

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Observation c2581976-635d-464b-bf9f-99ec47fd5788 · outbound

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Reference 84

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Observation 3d8e23fb-db09-4fa8-b1cc-97d029703c1b · outbound

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Reference 85

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Pith citing papers

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

UrbanFusion: Stochastic Multimodal Fusion for Contrastive Learning of Robust Spatial Representations cites this paper.

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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UNIGEOCLIP: Unified Geospatial Contrastive Learning cites this paper.

UNIGEOCLIP: Unified Geospatial Contrastive Learning GAIR: Location-Aware Self-Supervised Contrastive Pre-Training with Geo-Aligned Implicit Representations

Reference 19

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TRAJGANR: Trajectory-Centric Urban Multimodal Learning via Geospatially Aligned Neural Representations cites this paper.

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

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Observation ebbbcc3c-4049-4b6d-a336-1bc2e4e3f215 · inbound

OSMGraphCLIP: Learning Global Location Representations from OpenStreetMap Graphs cites this paper.

OSMGraphCLIP: Learning Global Location Representations from OpenStreetMap Graphs GAIR: Location-Aware Self-Supervised Contrastive Pre-Training with Geo-Aligned Implicit Representations

Reference 2

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