Paper Citation Record · LEDGER

Foundation Models for Generalist Geospatial Artificial Intelligence

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 42 inbound Pith citation observations for arXiv:2310.18660.

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

pith.paper-citation-record.v1
2310.18660 v2

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measured 42 of 42 standing notices

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measured 42 of 42 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T20:00:29.474456Z

measured 1 of 1 external citation measurements

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Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

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13
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

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Pith citing papers

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Investigating the Segment Anything Foundation Model for Mapping Smallholder Agriculture Field Boundaries Without Training Labels cites this paper.

Investigating the Segment Anything Foundation Model for Mapping Smallholder Agriculture Field Boundaries Without Training Labels Foundation Models for Generalist Geospatial Artificial Intelligence

Reference 6

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

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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MultiMAE Meets Earth Observation: Pre-training Multi-modal Multi-task Masked Autoencoders for Earth Observation Tasks cites this paper.

MultiMAE Meets Earth Observation: Pre-training Multi-modal Multi-task Masked Autoencoders for Earth Observation Tasks Foundation Models for Generalist Geospatial Artificial Intelligence

Reference 13

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Observation 6b6a96c9-2bf0-469c-be63-d1f17b0a286b · inbound

Parameter-Efficient Fine-Tuning of Multispectral Foundation Models for Hyperspectral Image Classification cites this paper.

Parameter-Efficient Fine-Tuning of Multispectral Foundation Models for Hyperspectral Image Classification Foundation Models for Generalist Geospatial Artificial Intelligence

Reference 19

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Observation d59b86af-9fe3-4c19-916d-4ae7ca69bfc0 · inbound

Foundation Models for Geospatial Reasoning: Assessing Capabilities of Large Language Models in Understanding Geometries and Topological Spatial Relations cites this paper.

Foundation Models for Geospatial Reasoning: Assessing Capabilities of Large Language Models in Understanding Geometries and Topological Spatial Relations Foundation Models for Generalist Geospatial Artificial Intelligence

Reference 55

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Observation ddd02138-46ac-4a0b-98bf-017d4a457d02 · inbound

VME: A Satellite Imagery Dataset and Benchmark for Detecting Vehicles in the Middle East and Beyond cites this paper.

VME: A Satellite Imagery Dataset and Benchmark for Detecting Vehicles in the Middle East and Beyond Foundation Models for Generalist Geospatial Artificial Intelligence

Reference 44

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Observation 9ff4e5bd-1fe4-4fa8-a74b-88bfeb01d695 · inbound

Defining Foundation Models for Computational Science: A Call for Clarity and Rigor cites this paper.

Defining Foundation Models for Computational Science: A Call for Clarity and Rigor Foundation Models for Generalist Geospatial Artificial Intelligence

Reference 11

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Observation f7ae08dd-84ee-47b0-97d0-ef49691725cb · inbound

Geospatial Foundation Models to Enable Progress on Sustainable Development Goals cites this paper.

Geospatial Foundation Models to Enable Progress on Sustainable Development Goals Foundation Models for Generalist Geospatial Artificial Intelligence

Reference 100

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CanadaFireSat: Toward high-resolution wildfire forecasting with multiple modalities cites this paper.

CanadaFireSat: Toward high-resolution wildfire forecasting with multiple modalities Foundation Models for Generalist Geospatial Artificial Intelligence

Reference 11

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Observation 36b62bad-0791-4bff-8c47-8f04b0a4cba8 · inbound

Fine-Scale Soil Mapping in Alaska with Multimodal Machine Learning cites this paper.

Fine-Scale Soil Mapping in Alaska with Multimodal Machine Learning Foundation Models for Generalist Geospatial Artificial Intelligence

Reference 22

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Observation 200c8de3-07b7-4dad-a803-9e32268a9d81 · inbound

SMARTIES: Spectrum-Aware Multi-Sensor Auto-Encoder for Remote Sensing Images cites this paper.

SMARTIES: Spectrum-Aware Multi-Sensor Auto-Encoder for Remote Sensing Images Foundation Models for Generalist Geospatial Artificial Intelligence

Reference 20

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High-Resolution Live Fuel Moisture Content (LFMC) Maps for Wildfire Risk from Multimodal Earth Observation Data cites this paper.

High-Resolution Live Fuel Moisture Content (LFMC) Maps for Wildfire Risk from Multimodal Earth Observation Data Foundation Models for Generalist Geospatial Artificial Intelligence

Reference 11

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Trees as Gaussians: Large-Scale Individual Tree Mapping cites this paper.

Trees as Gaussians: Large-Scale Individual Tree Mapping Foundation Models for Generalist Geospatial Artificial Intelligence

Reference 29

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Finetuning AI Foundation Models to Develop Subgrid-Scale Parameterizations: A Case Study on Atmospheric Gravity Waves cites this paper.

Finetuning AI Foundation Models to Develop Subgrid-Scale Parameterizations: A Case Study on Atmospheric Gravity Waves Foundation Models for Generalist Geospatial Artificial Intelligence

Reference 36

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Observation 665d7f49-a1b6-4ccc-af74-d4ad97631816 · inbound

An Open Benchmark Dataset for GeoAI Foundation Models for Oil Palm Mapping in Indonesia cites this paper.

An Open Benchmark Dataset for GeoAI Foundation Models for Oil Palm Mapping in Indonesia Foundation Models for Generalist Geospatial Artificial Intelligence

Reference 23

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Observation 41b14144-d3bb-4557-a38e-1511b3fe7c62 · inbound

The View From Space: Navigating Instrumentation Differences with EOFMs cites this paper.

The View From Space: Navigating Instrumentation Differences with EOFMs Foundation Models for Generalist Geospatial Artificial Intelligence

Reference 7

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Observation 00f42b43-3190-4432-927f-78c38a715fda · 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 Foundation Models for Generalist Geospatial Artificial Intelligence

Reference 34

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SHRUG-FM: Reliability-Aware Foundation Models for Earth Observation cites this paper.

SHRUG-FM: Reliability-Aware Foundation Models for Earth Observation Foundation Models for Generalist Geospatial Artificial Intelligence

Reference 4

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How Much of a Model Do We Need? Redundancy and Slimmability in Remote Sensing Foundation Models cites this paper.

How Much of a Model Do We Need? Redundancy and Slimmability in Remote Sensing Foundation Models Foundation Models for Generalist Geospatial Artificial Intelligence

Reference 2018

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OpenEarthAgent: A Unified Framework for Tool-Augmented Geospatial Agents cites this paper.

OpenEarthAgent: A Unified Framework for Tool-Augmented Geospatial Agents Foundation Models for Generalist Geospatial Artificial Intelligence

Reference 15

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Location Is All You Need: Continuous Spatiotemporal Neural Representations of Earth Observation Data cites this paper.

Location Is All You Need: Continuous Spatiotemporal Neural Representations of Earth Observation Data Foundation Models for Generalist Geospatial Artificial Intelligence

Reference 21

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T00:20:52.331032Z

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Observation 28b3ba9d-a82a-49e8-9bd7-6c10d93c11ba · inbound

Characterizing AlphaEarth Embedding Geometry for Agentic Environmental Reasoning cites this paper.

Characterizing AlphaEarth Embedding Geometry for Agentic Environmental Reasoning Foundation Models for Generalist Geospatial Artificial Intelligence

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-05-10T09:33:41.815679Z

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Observation 73ff8dc8-2805-4f26-a699-b7abf62c52f3 · inbound

Unlocking Multi-Spectral Data for Multi-Modal Models with Guided Inputs and Chain-of-Thought Reasoning cites this paper.

Unlocking Multi-Spectral Data for Multi-Modal Models with Guided Inputs and Chain-of-Thought Reasoning Foundation Models for Generalist Geospatial Artificial Intelligence

Reference 2

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Pretrain Where? Investigating How Pretraining Data Diversity Impacts Geospatial Foundation Model Performance cites this paper.

Pretrain Where? Investigating How Pretraining Data Diversity Impacts Geospatial Foundation Model Performance Foundation Models for Generalist Geospatial Artificial Intelligence

Reference 16

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Observation c28f4d8f-f9f2-40de-91e7-29087e0bb253 · inbound

Foundation AI Models for Aerosol Optical Depth Estimation from PACE Satellite Data cites this paper.

Foundation AI Models for Aerosol Optical Depth Estimation from PACE Satellite Data Foundation Models for Generalist Geospatial Artificial Intelligence

Reference 19

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T15:31:21.894769Z

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Rethinking Electro-Optical Vision Foundation Models for Remote Sensing Retrieval: A Controlled Comparison with Generalist VFM cites this paper.

Rethinking Electro-Optical Vision Foundation Models for Remote Sensing Retrieval: A Controlled Comparison with Generalist VFM Foundation Models for Generalist Geospatial Artificial Intelligence

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-11T16:36:08.615615Z

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Observation 3dc5bbae-b994-45fd-869f-6851e73d91f6 · inbound

Do Foundation Model Embeddings Improve Cross-Country Crop Yield Generalisation? A Leave-One-Country-Out Evaluation in Sub-Saharan Africa cites this paper.

Do Foundation Model Embeddings Improve Cross-Country Crop Yield Generalisation? A Leave-One-Country-Out Evaluation in Sub-Saharan Africa Foundation Models for Generalist Geospatial Artificial Intelligence

Reference 3

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WATCH: Wide-Area Archaeological Site Tracking for Change Detection cites this paper.

WATCH: Wide-Area Archaeological Site Tracking for Change Detection Foundation Models for Generalist Geospatial Artificial Intelligence

Reference 13

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Mini-JEPA Foundation Model Fleet Enables Agentic Hydrologic Intelligence cites this paper.

Mini-JEPA Foundation Model Fleet Enables Agentic Hydrologic Intelligence Foundation Models for Generalist Geospatial Artificial Intelligence

Reference 3

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SpectralEarth-FM: Bringing Hyperspectral Imagery into Multimodal Earth Observation Pretraining cites this paper.

SpectralEarth-FM: Bringing Hyperspectral Imagery into Multimodal Earth Observation Pretraining Foundation Models for Generalist Geospatial Artificial Intelligence

Reference 37

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Clustering Guided Domain-Specific Pretrained Foundation Model for Very High-Resolution Arctic Remote Sensing cites this paper.

Clustering Guided Domain-Specific Pretrained Foundation Model for Very High-Resolution Arctic Remote Sensing Foundation Models for Generalist Geospatial Artificial Intelligence

Reference 26

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Land cover and flood type govern the detection limits of satellite-based flood mapping across diverse global flood events cites this paper.

Land cover and flood type govern the detection limits of satellite-based flood mapping across diverse global flood events Foundation Models for Generalist Geospatial Artificial Intelligence

Reference 16

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Observation 63c35809-64dd-4580-9310-2ae7db58faab · inbound

Adapting Prithvi-EO for Fallow Detection for Food-Water Nexus: ViT-Adapter Necks and Parameter-Efficient Backbone tuning of Geospatial Foundation Model cites this paper.

Adapting Prithvi-EO for Fallow Detection for Food-Water Nexus: ViT-Adapter Necks and Parameter-Efficient Backbone tuning of Geospatial Foundation Model Foundation Models for Generalist Geospatial Artificial Intelligence

Reference 19

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Flood Mapping from RGB imagery using a Vision Foundation Model cites this paper.

Flood Mapping from RGB imagery using a Vision Foundation Model Foundation Models for Generalist Geospatial Artificial Intelligence

Reference 32

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Observation b9d9ea71-af09-40e7-b0c3-03b1aed3e674 · inbound

Beyond Backscatter: AlphaEarth Land-Cover Priors for Rapid SAR Flood Segmentation Across Foundation Backbones cites this paper.

Beyond Backscatter: AlphaEarth Land-Cover Priors for Rapid SAR Flood Segmentation Across Foundation Backbones Foundation Models for Generalist Geospatial Artificial Intelligence

Reference 32

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Benchmarking Geospatial Foundation Models for Agriculture Applications cites this paper.

Benchmarking Geospatial Foundation Models for Agriculture Applications Foundation Models for Generalist Geospatial Artificial Intelligence

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-06-30T07:54:22.253821Z

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From Surface Forecasting to Observability Forecasting: A Latent World Model for Cloud-Aware EO Monitoring cites this paper.

From Surface Forecasting to Observability Forecasting: A Latent World Model for Cloud-Aware EO Monitoring Foundation Models for Generalist Geospatial Artificial Intelligence

Reference 12

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Now We Know? A Systematic Comparison of TerraMind and THOR cites this paper.

Now We Know? A Systematic Comparison of TerraMind and THOR Foundation Models for Generalist Geospatial Artificial Intelligence

Reference 21

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Embeddings based Anomaly Detection for Cleaning Global Crop Type Reference Datasets cites this paper.

Embeddings based Anomaly Detection for Cleaning Global Crop Type Reference Datasets Foundation Models for Generalist Geospatial Artificial Intelligence

Reference 11

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Observation bfcbe4e0-9447-4675-b00d-7b67ba257990 · inbound

SPECTRA: Band-Routed Embedding and Stage-Wise LoRA for Cross-Sensor Fine-Tuning of Geospatial Foundation Models cites this paper.

SPECTRA: Band-Routed Embedding and Stage-Wise LoRA for Cross-Sensor Fine-Tuning of Geospatial Foundation Models Foundation Models for Generalist Geospatial Artificial Intelligence

Reference 13

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Above-ground Biomass Estimation with Geospatial Foundation Models cites this paper.

Above-ground Biomass Estimation with Geospatial Foundation Models Foundation Models for Generalist Geospatial Artificial Intelligence

Reference 7

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Multi-Year Geospatial Reasoning using Interannually-Consistent Historical Predictions as a Free Input Modality cites this paper.

Multi-Year Geospatial Reasoning using Interannually-Consistent Historical Predictions as a Free Input Modality Foundation Models for Generalist Geospatial Artificial Intelligence

Reference 17

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