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Paper Citation Record · LEDGER

Now We Know? A Systematic Comparison of TerraMind and THOR

As of 10 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 0 inbound Pith citation observations for arXiv:2607.18504.

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

pith.paper-citation-record.v1
2607.18504 v2

Coverage vector

measured 46 of 46 reference resolution

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Source: paper_references, paper_reference_links, observed 2026-08-01T15:15:43.394189Z

measured 46 of 46 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 0 of 0 inbound itemization

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measured 0 of 1 external citation measurements

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46 of 46 outbound references displayed

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Outbound references

Observation 5ec52f48-39b0-44bf-b22a-fbbcf6deec2b · outbound

This paper cites Kennedy, Valerio Marsocci, Muthuku- maran Ramasubramanian, Raul Ramos-Pollan, Sujit Roy, Gencer Sümbül, Devis Tuia, Xiao Xiang Zhu, and Rahul Ramachandran.

Now We Know? A Systematic Comparison of TerraMind and THOR Kennedy, Valerio Marsocci, Muthuku- maran Ramasubramanian, Raul Ramos-Pollan, Sujit Roy, Gencer Sümbül, Devis Tuia, Xiao Xiang Zhu, and Rahul Ramachandran

Reference 1

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Observation 989a609d-cc67-4b34-a720-b7352e8e8d69 · outbound

This paper cites Prithvi-eo-2.0: A versatile multi-temporal foundation model for earth observation applications.arXiv preprint arXiv:2412.02732, 2024.

Now We Know? A Systematic Comparison of TerraMind and THOR Prithvi-eo-2.0: A versatile multi-temporal foundation model for earth observation applications.arXiv preprint arXiv:2412.02732, 2024

Reference 2

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Observation a1782336-8a29-4bc4-aba2-ea7675bbec7f · outbound

This paper cites Olmoearth: Stable latent image modeling for multimodal earth observation, 2025.

Now We Know? A Systematic Comparison of TerraMind and THOR Olmoearth: Stable latent image modeling for multimodal earth observation, 2025

Reference 3

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Observation 1947c395-b5e3-4682-bbed-f7025de8208c · outbound

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

Now We Know? A Systematic Comparison of TerraMind and THOR AlphaEarth Foundations: An embedding field model for accurate and efficient global mapping from sparse label data

Reference 4

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Observation 2bc3b904-a9f7-42c3-94b7-fc3717865de6 · outbound

This paper cites Thor: A versatile foundation model for earth observation climate and society applications.arXiv preprint arXiv:2601.16011, 2026.

Now We Know? A Systematic Comparison of TerraMind and THOR Thor: A versatile foundation model for earth observation climate and society applications.arXiv preprint arXiv:2601.16011, 2026

Reference 5

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Observation 80a2976f-45ac-4213-9f09-63cb3980fc6d · outbound

This paper cites Terramind: Large-scale generative multi- modality for earth observation.IEEE/CVF International Conference on Computer Vision (ICCV), 2025.

Now We Know? A Systematic Comparison of TerraMind and THOR Terramind: Large-scale generative multi- modality for earth observation.IEEE/CVF International Conference on Computer Vision (ICCV), 2025

Reference 6

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Observation 186ac752-21e4-4daa-96f5-3073265ebc95 · outbound

This paper cites Terramesh: A planetary mosaic of multimodal earth observation data.

Now We Know? A Systematic Comparison of TerraMind and THOR Terramesh: A planetary mosaic of multimodal earth observation data

Reference 7

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Observation dded0d4a-03f1-4cdb-a197-277266bd7146 · outbound

This paper cites No one knows the state of the art in geospatial foundation models,.

Now We Know? A Systematic Comparison of TerraMind and THOR No one knows the state of the art in geospatial foundation models,

Reference 8

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Observation d5395ce9-53f5-47f3-a312-9b5edd6e015a · outbound

This paper cites Terratorch: The geospatial foundation models toolkit.

Now We Know? A Systematic Comparison of TerraMind and THOR Terratorch: The geospatial foundation models toolkit

Reference 9

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Observation ff29d498-d4cb-46ed-ac94-595f0320e003 · outbound

This paper cites On the Opportunities and Risks of Foundation Models.

Now We Know? A Systematic Comparison of TerraMind and THOR On the Opportunities and Risks of Foundation Models

Reference 10

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Observation b919e742-197e-4c99-af85-1f2be4459336 · outbound

This paper cites Momentum contrast for unsupervised visual representation learning.

Now We Know? A Systematic Comparison of TerraMind and THOR Momentum contrast for unsupervised visual representation learning

Reference 11

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Observation 23bd90fd-c7d5-4a90-8b96-35a1bc5ebd85 · outbound

This paper cites Emerging properties in self-supervised vision transformers.

Now We Know? A Systematic Comparison of TerraMind and THOR Emerging properties in self-supervised vision transformers

Reference 12

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Observation 4aa16793-615d-494d-9c8d-a1427e2ae73e · outbound

This paper cites Masked autoencoders are scalable vision learners.

Now We Know? A Systematic Comparison of TerraMind and THOR Masked autoencoders are scalable vision learners

Reference 13

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Observation 295afbf3-6613-4dea-b32e-3441bfc9e5c9 · outbound

This paper cites Satmae: Pre-training transformers for temporal and multi-spectral satellite imagery.Advances in Neural Information Processing Systems, 35:197–211, 2022.

Now We Know? A Systematic Comparison of TerraMind and THOR Satmae: Pre-training transformers for temporal and multi-spectral satellite imagery.Advances in Neural Information Processing Systems, 35:197–211, 2022

Reference 14

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Observation 5518b893-3d6d-4d98-a726-c02a82dc95c9 · outbound

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

Now We Know? A Systematic Comparison of TerraMind and THOR Scale- mae: A scale-aware masked autoencoder for multiscale geospatial representation learning

Reference 15

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Observation f449cb01-fb48-41e2-9eef-899d8c7cc554 · outbound

This paper cites Croma: Remote sensing representations with contrastive radar- optical masked autoencoders.Advances in Neural Infor- mation Processing Systems, 36:5506–5538, 2023.

Now We Know? A Systematic Comparison of TerraMind and THOR Croma: Remote sensing representations with contrastive radar- optical masked autoencoders.Advances in Neural Infor- mation Processing Systems, 36:5506–5538, 2023

Reference 16

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Observation 62ec255b-15f6-4f05-98b0-61aad0f0ca40 · outbound

This paper cites Neural plasticity-inspired foundation model for observing the earth crossing modalities.arXiv preprint arXiv:2403.15356, 3(5):6, 2024.

Now We Know? A Systematic Comparison of TerraMind and THOR Neural plasticity-inspired foundation model for observing the earth crossing modalities.arXiv preprint arXiv:2403.15356, 3(5):6, 2024

Reference 17

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Observation 78997094-617d-4f1a-9be7-0df75a2b42d3 · outbound

This paper cites Mmearth: Explor- ing multi-modal pretext tasks for geospatial representation learning.

Now We Know? A Systematic Comparison of TerraMind and THOR Mmearth: Explor- ing multi-modal pretext tasks for geospatial representation learning

Reference 18

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Observation 07a41c47-d9d8-4709-9266-aa26fb674780 · outbound

This paper cites Anysat: One earth observation model for many resolutions, scales, and modalities.

Now We Know? A Systematic Comparison of TerraMind and THOR Anysat: One earth observation model for many resolutions, scales, and modalities

Reference 19

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Observation 645b6649-2420-49dc-8dff-0b33ac1c7fde · outbound

This paper cites Hypersigma: Hyperspectral intelligence compre- hension foundation model.IEEE Transactions on Pattern Analysis and Machine Intelligence, 2025.

Now We Know? A Systematic Comparison of TerraMind and THOR Hypersigma: Hyperspectral intelligence compre- hension foundation model.IEEE Transactions on Pattern Analysis and Machine Intelligence, 2025

Reference 20

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Observation 8da3d7e4-2d58-43d9-85b9-abdc455234e1 · outbound

This paper cites Foundation Models for Generalist Geospatial Artificial Intelligence.

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

Reference 21

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Observation 19b7a718-3f2b-477d-ad0b-16917f46edb7 · outbound

This paper cites FlexiViT: One model for all patch sizes.

Now We Know? A Systematic Comparison of TerraMind and THOR FlexiViT: One model for all patch sizes

Reference 22

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Observation c390d347-7e79-4274-9dd8-b1ecfd398131 · outbound

This paper cites DiffusionSat: A Generative Foundation Model for Satellite Imagery.

Now We Know? A Systematic Comparison of TerraMind and THOR DiffusionSat: A Generative Foundation Model for Satellite Imagery

Reference 23

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Observation 422e5da6-c189-4e19-a032-24c9bcfd6b5f · outbound

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

Now We Know? A Systematic Comparison of TerraMind and THOR COP-GEN: Latent Diffusion Transformer for Copernicus Earth Observation Data

Reference 24

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Observation 8e48454b-7448-40a6-9c2a-23d92c51089c · outbound

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Now We Know? A Systematic Comparison of TerraMind and THOR Unresolved cited work

Reference 25

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Observation 3070e986-8319-46e6-95f0-d3291f35df8d · outbound

This paper cites Re- moteclip: A vision language foundation model for remote sensing.IEEE Transactions on Geoscience and Remote Sensing, 62:1–16, 2024.

Now We Know? A Systematic Comparison of TerraMind and THOR Re- moteclip: A vision language foundation model for remote sensing.IEEE Transactions on Geoscience and Remote Sensing, 62:1–16, 2024

Reference 26

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Observation 6b0484e1-6b7d-4aa2-a960-884e1d2cdd38 · outbound

This paper cites Rs5m and georsclip: A large-scale vision-language dataset and a large vision-language model for remote sens- ing.IEEE Transactions on Geoscience and Remote Sens- ing, 62:1–23, 2024.

Now We Know? A Systematic Comparison of TerraMind and THOR Rs5m and georsclip: A large-scale vision-language dataset and a large vision-language model for remote sens- ing.IEEE Transactions on Geoscience and Remote Sens- ing, 62:1–23, 2024

Reference 27

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Observation 4ee36a73-c642-4fb1-9c93-4c29022da25f · outbound

This paper cites TESSERA: Temporal Embeddings of Surface Spectra for Earth Representation and Analysis.

Now We Know? A Systematic Comparison of TerraMind and THOR TESSERA: Temporal Embeddings of Surface Spectra for Earth Representation and Analysis

Reference 28

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Observation f71bf446-cdb2-470a-a95d-24587d804531 · outbound

This paper cites Geo-bench: Toward foundation models for earth monitoring.Advances in Neural Information Processing Systems, 36:51080–51093, 2023.

Now We Know? A Systematic Comparison of TerraMind and THOR Geo-bench: Toward foundation models for earth monitoring.Advances in Neural Information Processing Systems, 36:51080–51093, 2023

Reference 29

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Observation ceb6bbfa-67a8-4195-a8f3-32c046850939 · outbound

This paper cites On a class of oscillatory integrals and their application to the time dependent Schr\"odinger equation.

Now We Know? A Systematic Comparison of TerraMind and THOR On a class of oscillatory integrals and their application to the time dependent Schr\"odinger equation

Reference 30

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Observation ba338144-a8d5-44e6-89f6-43b78761aa84 · outbound

This paper cites MMEarth-Bench: Global Model Adaptation via Multimodal Test-Time Training.

Now We Know? A Systematic Comparison of TerraMind and THOR MMEarth-Bench: Global Model Adaptation via Multimodal Test-Time Training

Reference 31

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Observation 4c311a5c-68fe-4889-8c89-ca7efbdde8c6 · outbound

This paper cites Geo-bench-2: From performance to capabil- ity, rethinking evaluation in geospatial ai.arXiv preprint arXiv:2511.15658, 2025.

Now We Know? A Systematic Comparison of TerraMind and THOR Geo-bench-2: From performance to capabil- ity, rethinking evaluation in geospatial ai.arXiv preprint arXiv:2511.15658, 2025

Reference 32

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Observation c4c22053-3bc0-401b-91cb-b87c15cd1ca7 · outbound

This paper cites Fomo: Multi-modal, multi- scale and multi-task remote sensing foundation models for forest monitoring.

Now We Know? A Systematic Comparison of TerraMind and THOR Fomo: Multi-modal, multi- scale and multi-task remote sensing foundation models for forest monitoring

Reference 33

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Observation 0afbe2f1-7ffb-46e8-8ba4-63e4bfec0df0 · outbound

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

Now We Know? A Systematic Comparison of TerraMind and THOR Cryo-Bench: Benchmarking Foundation Models for Cryosphere Applications

Reference 34

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Observation 4420f0f4-2c53-468d-8b87-93fb9ae6ff2e · outbound

This paper cites Unified perceptual parsing for scene understand- ing.

Now We Know? A Systematic Comparison of TerraMind and THOR Unified perceptual parsing for scene understand- ing

Reference 35

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Observation 7a821ae3-0319-4c49-b38b-3a74184b4964 · outbound

This paper cites Aitken, Rob Bishop, Daniel Rueckert, and Zehan Wang.

Now We Know? A Systematic Comparison of TerraMind and THOR Aitken, Rob Bishop, Daniel Rueckert, and Zehan Wang

Reference 36

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Observation bdb564cb-77e7-4617-9927-654e84bda704 · outbound

This paper cites Alvarez, and Ping Luo.

Now We Know? A Systematic Comparison of TerraMind and THOR Alvarez, and Ping Luo

Reference 37

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Observation 5d343cff-f93d-46e2-9ef8-fa2be177ab95 · outbound

This paper cites fvcore: Facebook’s core library for computer vision.

Now We Know? A Systematic Comparison of TerraMind and THOR fvcore: Facebook’s core library for computer vision

Reference 38

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source=pdf_text observed=2026-08-01T15:15:42.718704Z digest=sha256:d5cc0bd24517d23adbaae8687865ab8dcd626dc74ff183c62625fbd51b6df79b

Observation da496103-7b5d-4f2c-875f-e3c90b31e589 · outbound

This paper cites Decoupled weight decay regularization.

Now We Know? A Systematic Comparison of TerraMind and THOR Decoupled weight decay regularization

Reference 39

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no resolver link, observed 2026-08-01T15:15:42.791536Z

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source=pdf_text observed=2026-08-01T15:15:42.791536Z digest=sha256:a32fc8786297189f5d72f368bda9372311f27045517d72f361c098d157984df3

Observation e0737eaf-3fc9-4bff-a75e-8bf52bb64e0d · outbound

This paper cites Scaling laws in patchi- fication: An image is worth 50,176 tokens and more.arXiv preprint arXiv:2502.03738, 2025.

Now We Know? A Systematic Comparison of TerraMind and THOR Scaling laws in patchi- fication: An image is worth 50,176 tokens and more.arXiv preprint arXiv:2502.03738, 2025

Reference 40

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source=pdf_text observed=2026-08-01T15:15:42.911302Z digest=sha256:5e409a8fd30771e64d2504b438f1227122ae30d2796e7593b05dfaa6a6962057

Observation 0f8ec92a-80c8-4b96-a279-632f5c8b04b8 · outbound

This paper cites EarthShift: a benchmark for measuring robustness to real-world distribution shifts in Earth observation.

Now We Know? A Systematic Comparison of TerraMind and THOR EarthShift: a benchmark for measuring robustness to real-world distribution shifts in Earth observation

Reference 41

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no resolver link, observed 2026-08-01T15:15:42.955536Z

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source=pdf_text observed=2026-08-01T15:15:42.955536Z digest=sha256:bfead8de2c68945c4488d4e461d4979d3160d4893c46107cf84e2cd39e99be7d

Observation 1f65fbf4-07f6-41c6-87fb-c61ff2106eea · outbound

This paper cites Sen1Floods11: A georeferenced dataset to train and test deep learning flood algorithms for Sentinel-.

Now We Know? A Systematic Comparison of TerraMind and THOR Sen1Floods11: A georeferenced dataset to train and test deep learning flood algorithms for Sentinel-

Reference 42

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no resolver link, observed 2026-08-01T15:15:43.109198Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-01T15:15:43.109198Z digest=sha256:2ff828b76f4c87197362539f362ba0718bc7dba0fdff1bdaf1fd5f70b54ea2a3

Observation f7259095-f45f-42c1-93d1-2d1b1e6836c5 · outbound

This paper cites Smallminesds: A multi-modal dataset for mapping artisanal and small-scale gold mines, 2025.

Now We Know? A Systematic Comparison of TerraMind and THOR Smallminesds: A multi-modal dataset for mapping artisanal and small-scale gold mines, 2025

Reference 43

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no resolver link, observed 2026-08-01T15:15:43.314290Z

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source=pdf_text observed=2026-08-01T15:15:43.314290Z digest=sha256:2098bfc544b26481bbd0240925521c393f75ac700f1bac2f150a9050e04e2bc2

Observation e2d4dd36-8370-4fa8-86d1-b08f1100340b · outbound

This paper cites an unresolved cited work.

Now We Know? A Systematic Comparison of TerraMind and THOR Unresolved cited work

Reference 44

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no resolver link, observed 2026-08-01T15:15:43.218732Z

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source=pdf_text observed=2026-08-01T15:15:43.218732Z digest=sha256:4ce380772dad8a37cf08e148ac7ee9431d2b00099e79905977816857b374cf05

Observation 6b8ba37e-5f8d-4574-96cf-94fd51167ecc · outbound

This paper cites soft decoder substitute.

Now We Know? A Systematic Comparison of TerraMind and THOR soft decoder substitute

Reference 46

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no resolver link, observed 2026-08-01T15:15:43.394189Z

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source=pdf_text observed=2026-08-01T15:15:43.394189Z digest=sha256:05b9cb6b03010cb66296e0518d2c6429d1a62959de7b5aba6faa63d957237f68

Observation 96dc2bcc-537c-429e-984d-e3eea476b997 · outbound

This paper cites an unresolved cited work.

Now We Know? A Systematic Comparison of TerraMind and THOR Unresolved cited work

Reference 2026

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no resolver link, observed 2026-08-01T15:15:39.618862Z

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source=pdf_text observed=2026-08-01T15:15:39.618862Z digest=sha256:73265d99a247af13a6c1ca1f7c20e4a2b10da42c7ad3b69e523570012971b7bf

Pith citing papers

No inbound Pith citation observations are available.