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Paper Citation Record · LEDGER

TerraMind: Large-Scale Generative Multimodality for Earth Observation

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 18 inbound Pith citation observations for arXiv:2504.11171.

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

pith.paper-citation-record.v1
2504.11171 v5

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measured 0 of 0 reference resolution

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measured 18 of 18 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 18 of 18 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:56:17.979236Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-10T19:07:35.329628Z

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Pith citing papers

Observation 51105e07-431d-4339-ac6f-96de9c39d1ea · inbound

PolyMicros: Bootstrapping a Foundation Model for Polycrystalline Material Structure cites this paper.

PolyMicros: Bootstrapping a Foundation Model for Polycrystalline Material Structure TerraMind: Large-Scale Generative Multimodality for Earth Observation

Reference 40

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Observation 173b8bd0-8219-4135-8eae-522bb2a8032f · 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 TerraMind: Large-Scale Generative Multimodality for Earth Observation

Reference 21

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Observation 3a37fc35-9441-4120-93e5-af628835e767 · inbound

AQUAH: Automatic Quantification and Unified Agent in Hydrology cites this paper.

AQUAH: Automatic Quantification and Unified Agent in Hydrology TerraMind: Large-Scale Generative Multimodality for Earth Observation

Reference 11

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Observation 707de96b-42b8-4737-964e-715f08034cbf · inbound

Scalable Geospatial Data Generation Using AlphaEarth Foundations Model cites this paper.

Scalable Geospatial Data Generation Using AlphaEarth Foundations Model TerraMind: Large-Scale Generative Multimodality for Earth Observation

Reference 15

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Observation 394d9194-c4cd-4b18-8fc5-5ddaaf3fa25d · inbound

FoMo4Wheat: Toward reliable crop vision foundation models with globally curated data cites this paper.

FoMo4Wheat: Toward reliable crop vision foundation models with globally curated data TerraMind: Large-Scale Generative Multimodality for Earth Observation

Reference 24

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Observation 3ee90b14-04a1-43b5-9c06-2046eb47d549 · inbound

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

The View From Space: Navigating Instrumentation Differences with EOFMs TerraMind: Large-Scale Generative Multimodality for Earth Observation

Reference 8

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Observation 2bbe3420-2cd1-46e2-b9a1-40fb4a414ba9 · inbound

Feature Extraction in the Remote Sensing Data Value Chain: A Systematic Review of Methods and Applications cites this paper.

Feature Extraction in the Remote Sensing Data Value Chain: A Systematic Review of Methods and Applications TerraMind: Large-Scale Generative Multimodality for Earth Observation

Reference 230

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arxiv_id, observed 2026-06-19T17:11:29.420106Z

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Observation f674c1ea-6b4f-4431-a3be-a5090e0e374e · inbound

Cross-Scale Pretraining: Enhancing Self-Supervised Learning for Low-Resolution Satellite Imagery for Semantic Segmentation cites this paper.

Cross-Scale Pretraining: Enhancing Self-Supervised Learning for Low-Resolution Satellite Imagery for Semantic Segmentation TerraMind: Large-Scale Generative Multimodality for Earth Observation

Reference 9

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Observation 74738e66-18fa-4d08-8510-007fd007a946 · inbound

Cryo-Bench: Benchmarking Foundation Models for Cryosphere Applications cites this paper.

Cryo-Bench: Benchmarking Foundation Models for Cryosphere Applications TerraMind: Large-Scale Generative Multimodality for Earth Observation

Reference 10

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Observation f57c0121-92e9-49ad-a466-98f9c6d5ed23 · inbound

COP-GEN: Latent Diffusion Transformer for Copernicus Earth Observation Data cites this paper.

COP-GEN: Latent Diffusion Transformer for Copernicus Earth Observation Data TerraMind: Large-Scale Generative Multimodality for Earth Observation

Reference 24

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Observation a9038ee8-8e74-4944-8b96-d76a614f4810 · inbound

Geographically-Weighted Weakly Supervised Bayesian High-Resolution Transformer for 200m Resolution Pan-Arctic Sea Ice Concentration Mapping and Uncertainty Estimation using Sentinel-1, RCM, and AMSR2 Data cites this paper.

Geographically-Weighted Weakly Supervised Bayesian High-Resolution Transformer for 200m Resolution Pan-Arctic Sea Ice Concentration Mapping and Uncertainty Estimation using Sentinel-1, RCM, and AMSR2 Data TerraMind: Large-Scale Generative Multimodality for Earth Observation

Reference 27

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Observation 82ee3959-d8eb-482e-b14b-afd0996ae0cf · inbound

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 TerraMind: Large-Scale Generative Multimodality for Earth Observation

Reference 22

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Observation 69c4d561-2dfb-4ba8-a70b-c262b2431353 · inbound

LUCAS-MEGA: A Large-Scale Multimodal Dataset for Representation Learning in Soil-Environment Systems cites this paper.

LUCAS-MEGA: A Large-Scale Multimodal Dataset for Representation Learning in Soil-Environment Systems TerraMind: Large-Scale Generative Multimodality for Earth Observation

Reference 13

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Observation 7bbd96f1-7221-4377-b568-891177dd6b42 · inbound

LUCAS-MEGA: A Large-Scale Multimodal Dataset for Representation Learning in Soil-Environment Systems cites this paper.

LUCAS-MEGA: A Large-Scale Multimodal Dataset for Representation Learning in Soil-Environment Systems TerraMind: Large-Scale Generative Multimodality for Earth Observation

Reference 13

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 5bf15bce-7b3b-4634-beaf-f36752211371 · inbound

UniverSat: Resolution- and Modality-Agnostic Transformers for Earth Observation cites this paper.

UniverSat: Resolution- and Modality-Agnostic Transformers for Earth Observation TerraMind: Large-Scale Generative Multimodality for Earth Observation

Reference 9

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local_arxiv, observed 2026-07-04T10:29:44.848655Z

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Observation 6571171c-269a-49a5-9a1a-7e079c5e7972 · inbound

MotifGen: Spatiotemporal interpolation of misaligned satellite images via multi-source generative modeling, in an application to tropical cyclones cites this paper.

MotifGen: Spatiotemporal interpolation of misaligned satellite images via multi-source generative modeling, in an application to tropical cyclones TerraMind: Large-Scale Generative Multimodality for Earth Observation

Reference 14

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Observation 5b816d57-9e38-47aa-a5f9-041d48229831 · inbound

Scalable and Trustworthy Earth Observation Foundation Models cites this paper.

Scalable and Trustworthy Earth Observation Foundation Models TerraMind: Large-Scale Generative Multimodality for Earth Observation

Reference 16

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Observation 2ba705ce-56bc-4c82-9521-a3b114da2cd6 · inbound

Edge Intelligence in Civil Aviation: Paradigms, Techniques, and Applications cites this paper.

Edge Intelligence in Civil Aviation: Paradigms, Techniques, and Applications TerraMind: Large-Scale Generative Multimodality for Earth Observation

Reference 51

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