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Paper Citation Record · LEDGER

Text2Earth: Unlocking Text-driven Remote Sensing Image Generation with a Global-Scale Dataset and a Foundation Model

As of 11 August 2026, this Paper Citation Record lists 89 of 89 outbound references and 4 inbound Pith citation observations for arXiv:2501.00895.

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

pith.paper-citation-record.v1
2501.00895 v2

Coverage vector

measured 89 of 89 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T22:44:30.688266Z

measured 93 of 93 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T20:33:17.463837Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T08:25:33.081217Z

Reference resolution

89 of 89 outbound references displayed

  • verified exact0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b67b6957-bab6-414e-ad8f-7dde7b3f387c · outbound

This paper cites Vision-language models in remote sensing: Current progress and future trends,.

Text2Earth: Unlocking Text-driven Remote Sensing Image Generation with a Global-Scale Dataset and a Foundation Model Vision-language models in remote sensing: Current progress and future trends,

Reference 1

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Observation 995fd004-dcc4-444d-8710-2778cef9ca51 · outbound

This paper cites Multimodal image synthesis and editing: The generative ai era,.

Text2Earth: Unlocking Text-driven Remote Sensing Image Generation with a Global-Scale Dataset and a Foundation Model Multimodal image synthesis and editing: The generative ai era,

Reference 2

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Observation 3e702748-221d-44a3-9fd6-efabfcf3cd61 · outbound

This paper cites Text-to-image synthesis: A decade survey,.

Text2Earth: Unlocking Text-driven Remote Sensing Image Generation with a Global-Scale Dataset and a Foundation Model Text-to-image synthesis: A decade survey,

Reference 3

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Observation 3aba4280-6016-4736-8c24-0d8be8a176b7 · outbound

This paper cites Vision Foundation Models in Remote Sensing: A Survey.

Text2Earth: Unlocking Text-driven Remote Sensing Image Generation with a Global-Scale Dataset and a Foundation Model Vision Foundation Models in Remote Sensing: A Survey

Reference 4

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Observation 8cfb636a-6efa-4ce3-9022-684ee9f3def0 · outbound

This paper cites Foundation Models for Remote Sensing and Earth Observation: A Survey.

Text2Earth: Unlocking Text-driven Remote Sensing Image Generation with a Global-Scale Dataset and a Foundation Model Foundation Models for Remote Sensing and Earth Observation: A Survey

Reference 5

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Observation cd389ac5-1cd0-4e32-bd9d-8ee8b11b24a4 · outbound

This paper cites To- wards vision-language geo-foundation model: A survey,.

Text2Earth: Unlocking Text-driven Remote Sensing Image Generation with a Global-Scale Dataset and a Foundation Model To- wards vision-language geo-foundation model: A survey,

Reference 6

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Observation f7b3cbc6-1883-46a8-929c-d71c7c6b0265 · outbound

This paper cites Remote sensing temporal vision-language models: A comprehensive survey,.

Text2Earth: Unlocking Text-driven Remote Sensing Image Generation with a Global-Scale Dataset and a Foundation Model Remote sensing temporal vision-language models: A comprehensive survey,

Reference 7

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Observation 3cbc52b5-cbf8-4ee1-aedc-0defd2339c35 · outbound

This paper cites Txt2img- mhn: Remote sensing image generation from text using modern hopfield networks,.

Text2Earth: Unlocking Text-driven Remote Sensing Image Generation with a Global-Scale Dataset and a Foundation Model Txt2img- mhn: Remote sensing image generation from text using modern hopfield networks,

Reference 8

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Observation 3b8770c5-31fe-4622-a5f4-e69d554f11eb · outbound

This paper cites Available: https: //arxiv.org/abs/2412.02573.

Text2Earth: Unlocking Text-driven Remote Sensing Image Generation with a Global-Scale Dataset and a Foundation Model Available: https: //arxiv.org/abs/2412.02573

Reference 9

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Observation daf128f5-caa9-4f6e-beb9-eeedfa70f6b5 · outbound

This paper cites Generate Your Own Scotland: Satellite Image Generation Conditioned on Maps.

Text2Earth: Unlocking Text-driven Remote Sensing Image Generation with a Global-Scale Dataset and a Foundation Model Generate Your Own Scotland: Satellite Image Generation Conditioned on Maps

Reference 10

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Observation 5f46ce46-19ce-4601-a7df-b9a2ae668dda · outbound

This paper cites Metaearth: A generative foun- dation model for global-scale remote sensing image generation,.

Text2Earth: Unlocking Text-driven Remote Sensing Image Generation with a Global-Scale Dataset and a Foundation Model Metaearth: A generative foun- dation model for global-scale remote sensing image generation,

Reference 11

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Observation 8088020d-bf51-4ee9-b848-571130ee92a7 · outbound

This paper cites Artificial intelligence to advance earth observation: A review of models, recent trends, and pathways forward,.

Text2Earth: Unlocking Text-driven Remote Sensing Image Generation with a Global-Scale Dataset and a Foundation Model Artificial intelligence to advance earth observation: A review of models, recent trends, and pathways forward,

Reference 12

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Observation 74960b3f-9731-4f08-8a43-ab825e7755fe · outbound

This paper cites Deep learning in remote sensing: A comprehensive review and list of resources,.

Text2Earth: Unlocking Text-driven Remote Sensing Image Generation with a Global-Scale Dataset and a Foundation Model Deep learning in remote sensing: A comprehensive review and list of resources,

Reference 13

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Observation 941eddc3-5ea9-4f31-bef2-31ada53c331e · outbound

This paper cites Remote sensing image captioning based on multi-layer aggregated transformer,.

Text2Earth: Unlocking Text-driven Remote Sensing Image Generation with a Global-Scale Dataset and a Foundation Model Remote sensing image captioning based on multi-layer aggregated transformer,

Reference 14

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Source-reported events for the cited work

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Observation 3b27f368-e1f4-45dc-a5a1-e6063c4e583a · outbound

This paper cites Rsprompter: Learning to prompt for remote sensing instance seg- mentation based on visual foundation model,.

Text2Earth: Unlocking Text-driven Remote Sensing Image Generation with a Global-Scale Dataset and a Foundation Model Rsprompter: Learning to prompt for remote sensing instance seg- mentation based on visual foundation model,

Reference 15

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Observation d0a3c84e-3792-4e08-82f0-b85da2e89553 · outbound

This paper cites Deep semantic understanding of high resolution remote sensing image,.

Text2Earth: Unlocking Text-driven Remote Sensing Image Generation with a Global-Scale Dataset and a Foundation Model Deep semantic understanding of high resolution remote sensing image,

Reference 16

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Observation 4e32f534-6f3e-4af7-8b68-814e1f90682b · outbound

This paper cites Change-agent: Toward interactive comprehensive remote sensing change interpretation and analysis,.

Text2Earth: Unlocking Text-driven Remote Sensing Image Generation with a Global-Scale Dataset and a Foundation Model Change-agent: Toward interactive comprehensive remote sensing change interpretation and analysis,

Reference 17

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Observation 34bb5381-1d1b-4673-a2af-9d77d7dda958 · outbound

This paper cites Di ffusion models beat gans on image synthesis,.

Text2Earth: Unlocking Text-driven Remote Sensing Image Generation with a Global-Scale Dataset and a Foundation Model Di ffusion models beat gans on image synthesis,

Reference 18

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Observation 925560bf-45d3-43bc-afff-dd6180ac20e6 · outbound

This paper cites Exploring models and data for remote sensing image caption generation,.

Text2Earth: Unlocking Text-driven Remote Sensing Image Generation with a Global-Scale Dataset and a Foundation Model Exploring models and data for remote sensing image caption generation,

Reference 19

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Observation 562e37e5-9845-49bd-a83e-601ec109796e · outbound

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

Text2Earth: Unlocking Text-driven Remote Sensing Image Generation with a Global-Scale Dataset and a Foundation Model Learning transferable visual models from natural language supervision,

Reference 20

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Observation ca3b8914-bb4f-4cd6-b6ca-453d07f7727f · outbound

This paper cites High- resolution image synthesis with latent di ffusion models,.

Text2Earth: Unlocking Text-driven Remote Sensing Image Generation with a Global-Scale Dataset and a Foundation Model High- resolution image synthesis with latent di ffusion models,

Reference 21

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Observation c0d33c2e-a32d-48a3-be98-e86a715044b1 · outbound

This paper cites Nwpu- captions dataset and mlca-net for remote sensing image captioning,.

Text2Earth: Unlocking Text-driven Remote Sensing Image Generation with a Global-Scale Dataset and a Foundation Model Nwpu- captions dataset and mlca-net for remote sensing image captioning,

Reference 22

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Observation fba5fe75-e9bf-450d-a428-2c40229496b7 · outbound

This paper cites U-net: Convolutional networks for biomedical image segmentation,.

Text2Earth: Unlocking Text-driven Remote Sensing Image Generation with a Global-Scale Dataset and a Foundation Model U-net: Convolutional networks for biomedical image segmentation,

Reference 23

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Observation a4e8f13e-7022-481d-976b-8bebeefd45cc · outbound

This paper cites Text-to-image Diffusion Models in Generative AI: A Survey.

Text2Earth: Unlocking Text-driven Remote Sensing Image Generation with a Global-Scale Dataset and a Foundation Model Text-to-image Diffusion Models in Generative AI: A Survey

Reference 24

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Observation d2acef50-d03d-486d-bc99-97a8e969a6e3 · outbound

This paper cites Rs5m and georsclip: A large scale vision-language dataset and a large vision-language model for remote sensing,.

Text2Earth: Unlocking Text-driven Remote Sensing Image Generation with a Global-Scale Dataset and a Foundation Model Rs5m and georsclip: A large scale vision-language dataset and a large vision-language model for remote sensing,

Reference 25

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Observation b29fa7d4-e1e7-48ee-bd34-a9df41746aed · outbound

This paper cites A decoupling paradigm with prompt learning for remote sensing image change cap- tioning,.

Text2Earth: Unlocking Text-driven Remote Sensing Image Generation with a Global-Scale Dataset and a Foundation Model A decoupling paradigm with prompt learning for remote sensing image change cap- tioning,

Reference 26

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Observation eb824d00-12d2-445b-b2e1-6b1f89526753 · outbound

This paper cites Remote sensing image change captioning with dual-branch transformers: A new method and a large scale dataset,.

Text2Earth: Unlocking Text-driven Remote Sensing Image Generation with a Global-Scale Dataset and a Foundation Model Remote sensing image change captioning with dual-branch transformers: A new method and a large scale dataset,

Reference 27

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Observation 700a1972-b368-4799-8a03-ef7ebc81a38c · outbound

This paper cites Generative adversarial networks,.

Text2Earth: Unlocking Text-driven Remote Sensing Image Generation with a Global-Scale Dataset and a Foundation Model Generative adversarial networks,

Reference 28

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Observation 28ea3c67-5118-4a44-945c-d41dca4f91ff · outbound

This paper cites Progressive scale-aware network for remote sensing image change captioning,.

Text2Earth: Unlocking Text-driven Remote Sensing Image Generation with a Global-Scale Dataset and a Foundation Model Progressive scale-aware network for remote sensing image change captioning,

Reference 29

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Observation 52384318-5d12-4d1a-b33c-714c6a0791e8 · outbound

This paper cites Taming transformers for high- resolution image synthesis,.

Text2Earth: Unlocking Text-driven Remote Sensing Image Generation with a Global-Scale Dataset and a Foundation Model Taming transformers for high- resolution image synthesis,

Reference 30

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Observation 8435ab0c-6395-4561-a4c5-a743b67f1d30 · outbound

This paper cites Df-gan: A simple and effective baseline for text-to-image synthesis,.

Text2Earth: Unlocking Text-driven Remote Sensing Image Generation with a Global-Scale Dataset and a Foundation Model Df-gan: A simple and effective baseline for text-to-image synthesis,

Reference 31

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Observation 65619ebe-db97-4877-a88d-b9e865665f51 · outbound

This paper cites Galip: Generative adversarial clips for text-to-image synthesis,.

Text2Earth: Unlocking Text-driven Remote Sensing Image Generation with a Global-Scale Dataset and a Foundation Model Galip: Generative adversarial clips for text-to-image synthesis,

Reference 32

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Observation 9396c3d9-b76f-4ba6-b5a8-2b3f572ea3c2 · outbound

This paper cites Towards language-free training for text-to-image generation,.

Text2Earth: Unlocking Text-driven Remote Sensing Image Generation with a Global-Scale Dataset and a Foundation Model Towards language-free training for text-to-image generation,

Reference 33

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Observation c874c0fe-7b23-46ee-a06f-e9a797ac33ad · outbound

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Text2Earth: Unlocking Text-driven Remote Sensing Image Generation with a Global-Scale Dataset and a Foundation Model Drag your gan: Interactive point-based manipulation on the generative image manifold,

Reference 34

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Observation c360bf57-de4b-4c55-962b-0904c73d18c3 · outbound

This paper cites Recurrent a ffine transformation for text-to-image synthesis,.

Text2Earth: Unlocking Text-driven Remote Sensing Image Generation with a Global-Scale Dataset and a Foundation Model Recurrent a ffine transformation for text-to-image synthesis,

Reference 35

Resolution
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raw_fallback, observed 2026-08-10T22:44:31.487839Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:44:30.498416Z digest=sha256:36d9485ced426d7f76b76979f41301b9f5cb9e1febfd3b5a6e9974a7ef02dfa5

Observation 5aba10f8-af07-426d-804d-eb0fe0cede14 · outbound

This paper cites Stackgan: Text to photo-realistic image synthesis with stacked generative adversarial networks,.

Text2Earth: Unlocking Text-driven Remote Sensing Image Generation with a Global-Scale Dataset and a Foundation Model Stackgan: Text to photo-realistic image synthesis with stacked generative adversarial networks,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:44:31.468105Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:44:30.509304Z digest=sha256:7484bbcaa1dce9908176be92a4f3efd642a17030090627e5056410ae43bdc98d

Observation 3dfc4e8e-3fd9-485f-95ef-77cbd31fb421 · outbound

This paper cites Conditional Generative Adversarial Nets.

Text2Earth: Unlocking Text-driven Remote Sensing Image Generation with a Global-Scale Dataset and a Foundation Model Conditional Generative Adversarial Nets

Reference 37

Resolution
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no resolver link, observed 2026-08-10T22:44:30.505521Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:44:30.505521Z digest=sha256:80d06460bb5d5a7e2a75c3bb4da6d6d589c0b57884d7b2aa558b905b5da02fd1

Observation 22159c23-0963-4a43-b24d-4378a7c167a6 · outbound

This paper cites Mirrorgan: Learning text-to- image generation by redescription,.

Text2Earth: Unlocking Text-driven Remote Sensing Image Generation with a Global-Scale Dataset and a Foundation Model Mirrorgan: Learning text-to- image generation by redescription,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:44:31.448415Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:44:30.516717Z digest=sha256:2f383a73b6e20b18ca90a00d08bac958c1de01c8c2cd648e584ffa1d9545a146

Observation 0551f7ff-b1d0-4c14-9e51-1448f5d77cba · outbound

This paper cites Attngan: Fine-grained text to image generation with attentional generative adversarial networks,.

Text2Earth: Unlocking Text-driven Remote Sensing Image Generation with a Global-Scale Dataset and a Foundation Model Attngan: Fine-grained text to image generation with attentional generative adversarial networks,

Reference 39

Resolution
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no resolver link, observed 2026-08-10T22:44:30.512960Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:44:30.512960Z digest=sha256:29943d05a606388314f6ce744c1f6f3222fa027dc139b09d56288b8eb22d0740

Observation a2f086e3-86b4-4ea8-9ae4-6b00c067a584 · outbound

This paper cites Ufogen: You forward once large scale text-to-image generation via di ffusion gans,.

Text2Earth: Unlocking Text-driven Remote Sensing Image Generation with a Global-Scale Dataset and a Foundation Model Ufogen: You forward once large scale text-to-image generation via di ffusion gans,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:44:31.427709Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:44:30.524103Z digest=sha256:d9f942e50e25f51a8c815e787098594199f649e5dd81c5ad7db1d8fc3b4e5a1a

Observation c1361ac5-edd8-490b-bdb4-03c70d84a8bc · outbound

This paper cites Scaling up gans for text-to-image synthesis,.

Text2Earth: Unlocking Text-driven Remote Sensing Image Generation with a Global-Scale Dataset and a Foundation Model Scaling up gans for text-to-image synthesis,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:44:31.437942Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:44:30.520503Z digest=sha256:fa7d5f7771bf7edc18a10e0ebcc96a51f6d4d8cb3309a6bd2ae9e6293397823a

Observation c1c98914-ba45-48f5-9894-40d636bc3535 · outbound

This paper cites A survey on generative adversarial networks: Variants, applications, and training,.

Text2Earth: Unlocking Text-driven Remote Sensing Image Generation with a Global-Scale Dataset and a Foundation Model A survey on generative adversarial networks: Variants, applications, and training,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:44:31.407371Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:44:30.531374Z digest=sha256:62430fc2a9ec021aef85a63f7eca78370fdf1c049ba3b6127e8401b6a91033af

Observation e941ef23-b53c-4c62-8f63-a42c77de1c1f · outbound

This paper cites A review on generative adversarial networks: Algorithms, theory, and applications,.

Text2Earth: Unlocking Text-driven Remote Sensing Image Generation with a Global-Scale Dataset and a Foundation Model A review on generative adversarial networks: Algorithms, theory, and applications,

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:44:31.417520Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:44:30.527943Z digest=sha256:edcae745a1ea1ad29ec81b95d0a112f9ea8b71e38f4f455d7ae3266f0e92c1da

Observation 9277d0fa-52a0-4a79-a9d3-6b397b1ef9c5 · outbound

This paper cites Cogview: Mastering text-to-image generation via transformers,.

Text2Earth: Unlocking Text-driven Remote Sensing Image Generation with a Global-Scale Dataset and a Foundation Model Cogview: Mastering text-to-image generation via transformers,

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:44:31.389600Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:44:30.538352Z digest=sha256:ace8c191d77f62939be44a9b415e9c16f54f7230d1d69432d6371d76b4ad9c61

Observation b07a3426-b42a-406d-b8df-7f67c363587f · outbound

This paper cites Zero-shot text-to-image generation,.

Text2Earth: Unlocking Text-driven Remote Sensing Image Generation with a Global-Scale Dataset and a Foundation Model Zero-shot text-to-image generation,

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-10T22:44:30.534695Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:44:30.534695Z digest=sha256:98d0f17e829447cc07cf1bc3fcfe2187b402e8c75af5801237826a4fe52b1b29

Observation 779a674e-f8fa-4631-9a2d-5bf3291d5568 · outbound

This paper cites MARS: Mixture of Auto-Regressive Models for Fine-grained Text-to-image Synthesis.

Text2Earth: Unlocking Text-driven Remote Sensing Image Generation with a Global-Scale Dataset and a Foundation Model MARS: Mixture of Auto-Regressive Models for Fine-grained Text-to-image Synthesis

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-10T22:44:30.545433Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:44:30.545433Z digest=sha256:2c632523e1dae9452554d599791c361d28e8dd2e8411e9e8284357625cfc53b3

Observation 52e35fa3-3958-4a53-9135-94994b442840 · outbound

This paper cites Scaling Autoregressive Models for Content-Rich Text-to-Image Generation.

Text2Earth: Unlocking Text-driven Remote Sensing Image Generation with a Global-Scale Dataset and a Foundation Model Scaling Autoregressive Models for Content-Rich Text-to-Image Generation

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-10T22:44:30.541656Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:44:30.541656Z digest=sha256:a0f178d7c8ef5568469d59acdfa15b4221f1c938cac3dfdf9ffff45823d48536

Observation 8fb17d38-f53f-49f6-b1de-25fdb8b7216a · outbound

This paper cites Rscama: Remote sensing image change captioning with state space model,.

Text2Earth: Unlocking Text-driven Remote Sensing Image Generation with a Global-Scale Dataset and a Foundation Model Rscama: Remote sensing image change captioning with state space model,

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-10T22:44:30.552764Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:44:30.552764Z digest=sha256:4ae04aeb96a2d61e22261ddb62667a809477eee87a02d5297c255f9c0fd38b38

Observation 2ab9b0b4-4226-4dc9-993b-eb795d77c31c · outbound

This paper cites Make-a-scene: Scene-based text-to-image generation with human pri- ors,.

Text2Earth: Unlocking Text-driven Remote Sensing Image Generation with a Global-Scale Dataset and a Foundation Model Make-a-scene: Scene-based text-to-image generation with human pri- ors,

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:44:31.378410Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:44:30.549054Z digest=sha256:3a17edeb11e6ad2a933b5d8e5a1f58dbc96299c161cb5507b1eaedf03a728ca2

Observation c676609a-75d6-4bf7-a9b2-c8dd910643e7 · outbound

This paper cites ZipAR: Parallel Auto-regressive Image Generation through Spatial Locality.

Text2Earth: Unlocking Text-driven Remote Sensing Image Generation with a Global-Scale Dataset and a Foundation Model ZipAR: Parallel Auto-regressive Image Generation through Spatial Locality

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-10T22:44:30.560502Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:44:30.560502Z digest=sha256:902e7869cdab7c491065501909c6d9c48235a36cd5096e0fab254ecce323da37

Observation 915d1d9d-09d5-4885-ada2-261af54cf9fd · outbound

This paper cites Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction.

Text2Earth: Unlocking Text-driven Remote Sensing Image Generation with a Global-Scale Dataset and a Foundation Model Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction

Reference 51

Resolution
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no resolver link, observed 2026-08-10T22:44:30.556702Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:44:30.556702Z digest=sha256:1c64b73c9421b00028cf422d9bdef9d49e7aa01a65f5df0ea015bb7957bf6406

Observation ae19ce8b-4063-401f-be2b-9881da0fb86c · outbound

This paper cites Denoising di ffusion probabilistic models,.

Text2Earth: Unlocking Text-driven Remote Sensing Image Generation with a Global-Scale Dataset and a Foundation Model Denoising di ffusion probabilistic models,

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:44:31.346481Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:44:30.567980Z digest=sha256:011f8f0f6bc80c2700953ec94492eb3609ae038492b50af9d4314bf94d4295c1

Observation 5a674c51-08b3-4119-8ad8-7c6a61db2f01 · outbound

This paper cites Spectral-cascaded diffusion model for remote sensing image spectral super-resolution,.

Text2Earth: Unlocking Text-driven Remote Sensing Image Generation with a Global-Scale Dataset and a Foundation Model Spectral-cascaded diffusion model for remote sensing image spectral super-resolution,

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:44:31.358978Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:44:30.564426Z digest=sha256:2ba2c6f70e4b50b79b85f28600571ceefc2bbe45d2531888f497e965e0fb13be

Observation a410feb0-49fc-4e3a-befc-bb7892d47e34 · outbound

This paper cites Hierarchical Text-Conditional Image Generation with CLIP Latents.

Text2Earth: Unlocking Text-driven Remote Sensing Image Generation with a Global-Scale Dataset and a Foundation Model Hierarchical Text-Conditional Image Generation with CLIP Latents

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-10T22:44:30.574304Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:44:30.574304Z digest=sha256:e1dccf87a17ae7a1e94f4db28479f44417173c43a1a6850f83cc0179b18efc2c

Observation 4377a57a-e3c8-49fe-98e8-02fa2eac9bdb · outbound

This paper cites GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models.

Text2Earth: Unlocking Text-driven Remote Sensing Image Generation with a Global-Scale Dataset and a Foundation Model GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-10T22:44:30.571363Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:44:30.571363Z digest=sha256:e47c718917065666ba2c8de49ff19b6a67fbd4a3b820c4fe40e31ad752dea454

Observation 4f79e091-587b-4247-ab11-fd12d3450e61 · outbound

This paper cites Draw your art dream: Diverse digital art synthesis with multimodal guided di ffusion,.

Text2Earth: Unlocking Text-driven Remote Sensing Image Generation with a Global-Scale Dataset and a Foundation Model Draw your art dream: Diverse digital art synthesis with multimodal guided di ffusion,

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:44:31.335694Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:44:30.580908Z digest=sha256:2d6eb8b3646924c95ad94cd6a53f2be9dda189d5136fed54cdeec250f9e76bf7

Observation f4d7b305-7702-4f71-8818-268db0ed47ef · outbound

This paper cites Text-Guided Synthesis of Artistic Images with Retrieval-Augmented Diffusion Models.

Text2Earth: Unlocking Text-driven Remote Sensing Image Generation with a Global-Scale Dataset and a Foundation Model Text-Guided Synthesis of Artistic Images with Retrieval-Augmented Diffusion Models

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-10T22:44:30.577685Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:44:30.577685Z digest=sha256:eb57faa05f516d21ac764be5199ee3e89efcf412a5b0022c435284639158a05b

Observation d1360b75-4134-4ab2-a6c1-dbbde4cc8946 · outbound

This paper cites Imagic: Text-based real image editing with di ffusion models,.

Text2Earth: Unlocking Text-driven Remote Sensing Image Generation with a Global-Scale Dataset and a Foundation Model Imagic: Text-based real image editing with di ffusion models,

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:44:31.323738Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:44:30.587357Z digest=sha256:26ae158c6cacb81a0f89bd83e2c34f81d859e9c823270e5d22098a2c1d8f0897

Observation 163e4804-4201-4524-b3c5-a61ef4d02290 · outbound

This paper cites DiffEdit: Diffusion-based semantic image editing with mask guidance.

Text2Earth: Unlocking Text-driven Remote Sensing Image Generation with a Global-Scale Dataset and a Foundation Model DiffEdit: Diffusion-based semantic image editing with mask guidance

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-10T22:44:30.584065Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:44:30.584065Z digest=sha256:ae05f361dab5d5755c65bb088b99a267f1fe0af8a3d51afb8ecb889aea6fac45

Observation b5e9ca1b-ff3b-405f-9678-6c293e16af05 · outbound

This paper cites Imagen Video: High Definition Video Generation with Diffusion Models.

Text2Earth: Unlocking Text-driven Remote Sensing Image Generation with a Global-Scale Dataset and a Foundation Model Imagen Video: High Definition Video Generation with Diffusion Models

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-10T22:44:30.594080Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:44:30.594080Z digest=sha256:5f6c18eb38f7eb6e03a71586aa682f3910192fa3031a6fa17413e81c5bc6a83a

Observation 25b70d4e-b39e-4c5c-91c2-40e33ef47c4b · outbound

This paper cites Make-A-Video: Text-to-Video Generation without Text-Video Data.

Text2Earth: Unlocking Text-driven Remote Sensing Image Generation with a Global-Scale Dataset and a Foundation Model Make-A-Video: Text-to-Video Generation without Text-Video Data

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-10T22:44:30.590384Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:44:30.590384Z digest=sha256:edefc709e6695d53f2175e6dc77c6f788cad91a0f8027011f43a883ade3e448c

Observation c6d3d020-dab1-4452-bf5e-449629e343ae · outbound

This paper cites Adding conditional control to text-to-image di ffusion models,.

Text2Earth: Unlocking Text-driven Remote Sensing Image Generation with a Global-Scale Dataset and a Foundation Model Adding conditional control to text-to-image di ffusion models,

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:44:31.300013Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:44:30.601757Z digest=sha256:0644026d3c89b1a7a18cf6d6d9729dd9cc72fa96b6c77c2129a4ca627dbc0c86

Observation 50b3932b-9cd4-4bcf-ab5e-78b470b4af78 · outbound

This paper cites Synthesizing coherent story with auto-regressive latent di ffusion models,.

Text2Earth: Unlocking Text-driven Remote Sensing Image Generation with a Global-Scale Dataset and a Foundation Model Synthesizing coherent story with auto-regressive latent di ffusion models,

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:44:31.311392Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:44:30.598218Z digest=sha256:d774c9773fe51d1c619bcc0c77bd8dcc5ed73a931dee61f619b355cf28a64d82

Observation 72520896-280f-4ed0-a1fb-cc9197862542 · outbound

This paper cites Retro-remote sensing: Generating images from ancient texts,.

Text2Earth: Unlocking Text-driven Remote Sensing Image Generation with a Global-Scale Dataset and a Foundation Model Retro-remote sensing: Generating images from ancient texts,

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:44:31.277555Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:44:30.608770Z digest=sha256:7b2d8d1660d2641b7cd08ce8987037ce0c0eab43d44099a892d7bd46a2fc4eed

Observation b4c61fd1-1dcf-48fa-9484-7a6198405205 · outbound

This paper cites Dragdi ffusion: Harnessing di ffusion models for interactive point-based image editing,.

Text2Earth: Unlocking Text-driven Remote Sensing Image Generation with a Global-Scale Dataset and a Foundation Model Dragdi ffusion: Harnessing di ffusion models for interactive point-based image editing,

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:44:31.289524Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:44:30.605138Z digest=sha256:cfd07494c00919d98e0752c89e1f408b5f9aee41d4d403c3e0c236ca856ea13c

Observation aa793be8-fa34-4f99-91e5-7ea122600d58 · outbound

This paper cites Improving text encoding for retro-remote sensing,.

Text2Earth: Unlocking Text-driven Remote Sensing Image Generation with a Global-Scale Dataset and a Foundation Model Improving text encoding for retro-remote sensing,

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:44:31.250341Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:44:30.615945Z digest=sha256:8e9aeff664aad034d5af70f4f538016e40554528b43d9fd793367cff27a9fdbe

Observation abf5dd06-7070-448c-a8db-372d8c405862 · outbound

This paper cites Retro-remote sensing with doc2vec encoding,.

Text2Earth: Unlocking Text-driven Remote Sensing Image Generation with a Global-Scale Dataset and a Foundation Model Retro-remote sensing with doc2vec encoding,

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:44:31.265462Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:44:30.612523Z digest=sha256:95ea485ad0448274dc040cd6b51072a5848bea3409cc42713f7aa322e8d0dabd

Observation b8f73476-137a-4647-9f1c-f65b9e050d4f · outbound

This paper cites Text-to-remote-sensing-image generation with structured generative adversarial networks,.

Text2Earth: Unlocking Text-driven Remote Sensing Image Generation with a Global-Scale Dataset and a Foundation Model Text-to-remote-sensing-image generation with structured generative adversarial networks,

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:44:31.232517Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:44:30.622781Z digest=sha256:d5b8e54bb6ca77506c3eb6efe93b8b7fe65e8205f34e4f53dc261a7aa532f398

Observation a2d5d335-9508-4a7b-82f6-82797bd084e7 · outbound

This paper cites Distributed representations of sentences and documents,.

Text2Earth: Unlocking Text-driven Remote Sensing Image Generation with a Global-Scale Dataset and a Foundation Model Distributed representations of sentences and documents,

Reference 69

Resolution
unresolved
no resolver link, observed 2026-08-10T22:44:30.619506Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 0ee12379-6fe6-444d-b0bb-c728a6414bdb · outbound

This paper cites Hopfield Networks is All You Need.

Text2Earth: Unlocking Text-driven Remote Sensing Image Generation with a Global-Scale Dataset and a Foundation Model Hopfield Networks is All You Need

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Observation 040490cb-7e4e-44c0-afaa-3d713c1e9773 · outbound

This paper cites Remote sensing image augmentation based on text description for waterside change detection,.

Text2Earth: Unlocking Text-driven Remote Sensing Image Generation with a Global-Scale Dataset and a Foundation Model Remote sensing image augmentation based on text description for waterside change detection,

Reference 71

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Observation 8de75e5d-7ef2-453c-9f8c-878fd587cf0e · outbound

This paper cites Di ffusionsat: A generative foundation model for satellite imagery,.

Text2Earth: Unlocking Text-driven Remote Sensing Image Generation with a Global-Scale Dataset and a Foundation Model Di ffusionsat: A generative foundation model for satellite imagery,

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Observation 6f27da70-66d1-4282-9a05-9dfe103872de · outbound

This paper cites Neural discrete representation learning,.

Text2Earth: Unlocking Text-driven Remote Sensing Image Generation with a Global-Scale Dataset and a Foundation Model Neural discrete representation learning,

Reference 73

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Observation acd5e799-811c-4d71-a80b-d3e96aab982c · outbound

This paper cites Rsdi ff: Remote sensing image generation from text using di ffusion model,.

Text2Earth: Unlocking Text-driven Remote Sensing Image Generation with a Global-Scale Dataset and a Foundation Model Rsdi ff: Remote sensing image generation from text using di ffusion model,

Reference 74

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Observation b7b33e29-ce4e-4a3d-a077-0b6dfcb966d9 · outbound

This paper cites Crs-di ff: Controllable remote sensing image generation with di ffusion model,.

Text2Earth: Unlocking Text-driven Remote Sensing Image Generation with a Global-Scale Dataset and a Foundation Model Crs-di ff: Controllable remote sensing image generation with di ffusion model,

Reference 75

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Observation 8021894e-8948-4915-bd43-fb0c95a3fb8a · outbound

This paper cites On creating benchmark dataset for aerial image interpre- tation: Reviews, guidances, and million-aid,.

Text2Earth: Unlocking Text-driven Remote Sensing Image Generation with a Global-Scale Dataset and a Foundation Model On creating benchmark dataset for aerial image interpre- tation: Reviews, guidances, and million-aid,

Reference 76

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Source-reported events for the cited work

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Observation 0f60b771-f526-4440-a2a5-d8de0cf8ebd3 · outbound

This paper cites Photorealistic text-to-image diffusion models with deep language understanding,.

Text2Earth: Unlocking Text-driven Remote Sensing Image Generation with a Global-Scale Dataset and a Foundation Model Photorealistic text-to-image diffusion models with deep language understanding,

Reference 77

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Observation a58aabbd-0ef7-483f-845e-628485505dba · outbound

This paper cites Ssl4eo-s12: A large-scale multimodal, multitemporal dataset for self-supervised learning in earth observation [software and data sets],.

Text2Earth: Unlocking Text-driven Remote Sensing Image Generation with a Global-Scale Dataset and a Foundation Model Ssl4eo-s12: A large-scale multimodal, multitemporal dataset for self-supervised learning in earth observation [software and data sets],

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Observation 38676fec-b851-42c4-aa98-ae356e1e6548 · outbound

This paper cites Towards geospatial foundation models via continual pretraining,.

Text2Earth: Unlocking Text-driven Remote Sensing Image Generation with a Global-Scale Dataset and a Foundation Model Towards geospatial foundation models via continual pretraining,

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Observation f1a9b526-11a6-4b4f-8fbc-e7f0fb5e0efc · outbound

This paper cites Object detection in optical remote sensing images: A survey and a new benchmark,.

Text2Earth: Unlocking Text-driven Remote Sensing Image Generation with a Global-Scale Dataset and a Foundation Model Object detection in optical remote sensing images: A survey and a new benchmark,

Reference 80

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Observation 8f584eab-ace8-4fab-b053-858fa1b831e3 · outbound

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

Text2Earth: Unlocking Text-driven Remote Sensing Image Generation with a Global-Scale Dataset and a Foundation Model Skyscript: A large and semantically diverse vision-language dataset for remote sens- ing,

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Observation b0be3d21-bd58-498c-af38-da7e136354c5 · outbound

This paper cites GPT-4 Technical Report.

Text2Earth: Unlocking Text-driven Remote Sensing Image Generation with a Global-Scale Dataset and a Foundation Model GPT-4 Technical Report

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Observation a95cd16a-53c0-40b6-84ed-2d004c9f731c · outbound

This paper cites RSI-CB: A Large Scale Remote Sensing Image Classification Benchmark via Crowdsource Data.

Text2Earth: Unlocking Text-driven Remote Sensing Image Generation with a Global-Scale Dataset and a Foundation Model RSI-CB: A Large Scale Remote Sensing Image Classification Benchmark via Crowdsource Data

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Observation 69b01659-dd1a-42ab-bc59-38fb5133f673 · outbound

This paper cites Rethinking the inception architecture for computer vision,.

Text2Earth: Unlocking Text-driven Remote Sensing Image Generation with a Global-Scale Dataset and a Foundation Model Rethinking the inception architecture for computer vision,

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Observation 4da06e71-e419-400d-b849-af9b1c6a0534 · outbound

This paper cites Classifier-Free Diffusion Guidance.

Text2Earth: Unlocking Text-driven Remote Sensing Image Generation with a Global-Scale Dataset and a Foundation Model Classifier-Free Diffusion Guidance

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Observation b6624479-3f34-4ff6-b377-c227369b8c2e · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

Text2Earth: Unlocking Text-driven Remote Sensing Image Generation with a Global-Scale Dataset and a Foundation Model LoRA: Low-Rank Adaptation of Large Language Models

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Observation 52f35960-d054-4875-9de8-663d35e35942 · outbound

This paper cites Dae-gan: Dynamic aspect-aware gan for text-to-image synthesis,.

Text2Earth: Unlocking Text-driven Remote Sensing Image Generation with a Global-Scale Dataset and a Foundation Model Dae-gan: Dynamic aspect-aware gan for text-to-image synthesis,

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Observation 357da7f1-28b7-4e83-8172-85910e72a919 · outbound

This paper cites Remoteclip: A vision language foundation model for remote sensing,.

Text2Earth: Unlocking Text-driven Remote Sensing Image Generation with a Global-Scale Dataset and a Foundation Model Remoteclip: A vision language foundation model for remote sensing,

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Observation c98701ab-e158-4a69-a577-23fcfaa51e1b · outbound

This paper cites Text-to-Image Synthesis: A Decade Survey.

Text2Earth: Unlocking Text-driven Remote Sensing Image Generation with a Global-Scale Dataset and a Foundation Model Text-to-Image Synthesis: A Decade Survey

Reference 2024

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Pith citing papers

Observation 2eccb32d-bef0-4bc6-877d-77abe0fdb306 · inbound

Change Captioning in Remote Sensing: Evolution to SAT-Cap -- A Single-Stage Transformer Approach cites this paper.

Change Captioning in Remote Sensing: Evolution to SAT-Cap -- A Single-Stage Transformer Approach Text2Earth: Unlocking Text-driven Remote Sensing Image Generation with a Global-Scale Dataset and a Foundation Model

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Observation d0ea4d74-887e-42d7-b2ad-e366bb7ae66d · inbound

Vision-Language Modeling Meets Remote Sensing: Models, Datasets and Perspectives cites this paper.

Vision-Language Modeling Meets Remote Sensing: Models, Datasets and Perspectives Text2Earth: Unlocking Text-driven Remote Sensing Image Generation with a Global-Scale Dataset and a Foundation Model

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Observation ac133a5c-ba20-4eac-9621-27c986c1880a · inbound

Beyond Visual Fidelity: Benchmarking Super-Resolution Models for Large-Scale Remote Sensing Imagery via Downstream Task Integration cites this paper.

Beyond Visual Fidelity: Benchmarking Super-Resolution Models for Large-Scale Remote Sensing Imagery via Downstream Task Integration Text2Earth: Unlocking Text-driven Remote Sensing Image Generation with a Global-Scale Dataset and a Foundation Model

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arxiv_id, observed 2026-05-11T15:16:08.462295Z

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Observation 1f7169ae-5b78-4a4d-9436-20ac37740f97 · inbound

Beyond Visual Fidelity: Benchmarking Super-Resolution Models for Large-Scale Remote Sensing Imagery via Downstream Task Integration cites this paper.

Beyond Visual Fidelity: Benchmarking Super-Resolution Models for Large-Scale Remote Sensing Imagery via Downstream Task Integration Text2Earth: Unlocking Text-driven Remote Sensing Image Generation with a Global-Scale Dataset and a Foundation Model

Reference 36

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arxiv_id, observed 2026-07-01T08:25:33.083393Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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