GeoCore-9B: Towards Geo-Aware Generative Foundation Models in Earth Observation | Paper Citation Record

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This paper cites an unresolved cited work.

GeoCore-9B: Towards Geo-Aware Generative Foundation Models in Earth Observation Unresolved cited work

Reference 1

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Observation ff957615-0fe3-43c3-9058-257b50ff45f5 · outbound

This paper cites C-DiffSET: Leveraging Latent Diffusion for SAR-to-EO Image Translation with Confidence-Guided Reliable Object Generation.

GeoCore-9B: Towards Geo-Aware Generative Foundation Models in Earth Observation C-DiffSET: Leveraging Latent Diffusion for SAR-to-EO Image Translation with Confidence-Guided Reliable Object Generation

Reference 2

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Observation 7dd571b4-5a88-4f9c-a4bd-205d8dbc962c · outbound

This paper cites Uncrtaints: Uncertainty quantification for cloud removal in optical satellite time series.

GeoCore-9B: Towards Geo-Aware Generative Foundation Models in Earth Observation Uncrtaints: Uncertainty quantification for cloud removal in optical satellite time series

Reference 3

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Observation b15ea704-45b1-4f4a-a174-ffc9bd4b494a · outbound

This paper cites Sen12ms-cr-ts: A remote-sensing data set for multimodal multitemporal cloud removal.IEEE Transactions on Geoscience and Remote Sensing, 60:1–14, 2022.

GeoCore-9B: Towards Geo-Aware Generative Foundation Models in Earth Observation Sen12ms-cr-ts: A remote-sensing data set for multimodal multitemporal cloud removal.IEEE Transactions on Geoscience and Remote Sensing, 60:1–14, 2022

Reference 4

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Observation 6e82e3ec-defb-4a2d-9982-a6e1d21d1d26 · outbound

This paper cites Filmy cloud removal on satellite imagery with multispectral conditional generative adversarial nets.

GeoCore-9B: Towards Geo-Aware Generative Foundation Models in Earth Observation Filmy cloud removal on satellite imagery with multispectral conditional generative adversarial nets

Reference 5

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Observation e635d06f-e706-41e1-9836-336cbbe437d6 · outbound

This paper cites Scaling rectified flow trans- formers for high-resolution image synthesis.

GeoCore-9B: Towards Geo-Aware Generative Foundation Models in Earth Observation Scaling rectified flow trans- formers for high-resolution image synthesis

Reference 6

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GeoCore-9B: Towards Geo-Aware Generative Foundation Models in Earth Observation Unresolved cited work

Reference 7

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Observation 9bb5ba57-19b5-44a3-ae8a-4ba8e4b2b90a · outbound

This paper cites Classifier-Free Diffusion Guidance.

GeoCore-9B: Towards Geo-Aware Generative Foundation Models in Earth Observation Classifier-Free Diffusion Guidance

Reference 8

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Observation 3642f953-89d3-4227-9db2-a927f452f9f7 · outbound

This paper cites Lora: Low-rank adaptation of large language models.Iclr, 1(2):3, 2022.

GeoCore-9B: Towards Geo-Aware Generative Foundation Models in Earth Observation Lora: Low-rank adaptation of large language models.Iclr, 1(2):3, 2022

Reference 9

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Observation 25ce5edc-e302-489a-8e38-1404bfda5dea · outbound

This paper cites Ctgan: Cloud transformer generative adversarial network.

GeoCore-9B: Towards Geo-Aware Generative Foundation Models in Earth Observation Ctgan: Cloud transformer generative adversarial network

Reference 10

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Observation 561caba2-2f87-4a17-acbc-76019804a130 · outbound

This paper cites The QXS-SAROPT Dataset for Deep Learning in SAR-Optical Data Fusion.

GeoCore-9B: Towards Geo-Aware Generative Foundation Models in Earth Observation The QXS-SAROPT Dataset for Deep Learning in SAR-Optical Data Fusion

Reference 11

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Observation 914df363-1cd1-4308-8699-296b170923cc · outbound

This paper cites Image-to-image translation with conditional adversarial networks.

GeoCore-9B: Towards Geo-Aware Generative Foundation Models in Earth Observation Image-to-image translation with conditional adversarial networks

Reference 12

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Observation 8a39fb60-4672-4626-9ebb-26ecbe68e754 · outbound

This paper cites Terramind: Large-scale generative multimodality for earth observation.

GeoCore-9B: Towards Geo-Aware Generative Foundation Models in Earth Observation Terramind: Large-scale generative multimodality for earth observation

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:10:35.443948Z

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Observation ea1953c7-4952-4ac0-8f74-1fd5c78219ca · outbound

This paper cites Can generative geospatial diffusion models excel as discriminative geospatial foundation mod- els? InProceedings of the IEEE/CVF International Conference on Computer Vision, 2025.

GeoCore-9B: Towards Geo-Aware Generative Foundation Models in Earth Observation Can generative geospatial diffusion models excel as discriminative geospatial foundation mod- els? InProceedings of the IEEE/CVF International Conference on Computer Vision, 2025

Reference 14

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Observation 150ffeec-d8d7-4611-86d6-92ad9d421ac3 · outbound

This paper cites Denoising diffusion probabilistic feature-based network for cloud removal in sentinel-2 imagery.Remote Sensing, 15(9):2217, 2023.

GeoCore-9B: Towards Geo-Aware Generative Foundation Models in Earth Observation Denoising diffusion probabilistic feature-based network for cloud removal in sentinel-2 imagery.Remote Sensing, 15(9):2217, 2023

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:10:35.403675Z

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Observation 28f84601-94db-41ef-bde7-81e0d2ba375a · outbound

This paper cites Lobell, and Stefano Ermon.

GeoCore-9B: Towards Geo-Aware Generative Foundation Models in Earth Observation Lobell, and Stefano Ermon

Reference 16

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Observation 31838982-2cad-43e5-bd32-8bd5eff0afb5 · outbound

This paper cites Conditional brownian bridge diffusion model for vhr sar to optical image translation.IEEE Geoscience and Remote Sensing Letters, 2025.

GeoCore-9B: Towards Geo-Aware Generative Foundation Models in Earth Observation Conditional brownian bridge diffusion model for vhr sar to optical image translation.IEEE Geoscience and Remote Sensing Letters, 2025

Reference 17

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Observation e9cc28e6-804b-4243-895e-49ed7ac7b441 · outbound

This paper cites FLUX.1 Kontext: Flow Matching for In-Context Image Generation and Editing in Latent Space.

GeoCore-9B: Towards Geo-Aware Generative Foundation Models in Earth Observation FLUX.1 Kontext: Flow Matching for In-Context Image Generation and Editing in Latent Space

Reference 18

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Observation 0db36bba-1998-4a07-84d7-5515e139c6ab · outbound

This paper cites Cfca-set: Coarse-to-fine context-aware sar-to-eo translation with auxiliary learning of sar-to-nir translation.IEEE Transactions on Geoscience and Remote Sensing, 61:1–18, 2023.

GeoCore-9B: Towards Geo-Aware Generative Foundation Models in Earth Observation Cfca-set: Coarse-to-fine context-aware sar-to-eo translation with auxiliary learning of sar-to-nir translation.IEEE Transactions on Geoscience and Remote Sensing, 61:1–18, 2023

Reference 19

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Observation d48009cf-e2cd-4db1-a85c-b2af47e63e07 · outbound

This paper cites Repa-e: Unlocking vae for end-to-end tuning of latent diffusion transformers.

GeoCore-9B: Towards Geo-Aware Generative Foundation Models in Earth Observation Repa-e: Unlocking vae for end-to-end tuning of latent diffusion transformers

Reference 20

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Observation 9a120d0e-3971-4e41-8c1d-b052206b0d69 · outbound

This paper cites Bbdm: Image-to-image translation with brownian bridge diffusion models.

GeoCore-9B: Towards Geo-Aware Generative Foundation Models in Earth Observation Bbdm: Image-to-image translation with brownian bridge diffusion models

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:10:35.303325Z

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Observation 6971978d-1370-465d-82aa-b2d62935f769 · outbound

This paper cites Flow Matching for Generative Modeling.

GeoCore-9B: Towards Geo-Aware Generative Foundation Models in Earth Observation Flow Matching for Generative Modeling

Reference 22

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Observation df55b283-99d0-4bfc-908e-5b08d2151b39 · outbound

This paper cites Text2earth: Unlocking text-driven remote sensing image generation with a global-scale dataset and a foundation model.

GeoCore-9B: Towards Geo-Aware Generative Foundation Models in Earth Observation Text2earth: Unlocking text-driven remote sensing image generation with a global-scale dataset and a foundation model

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:10:35.281673Z

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Observation 5ab9459c-6ba7-43ca-9ce2-86e888af6b9d · outbound

This paper cites Sarmae: Masked autoencoder for sar representation learning.

GeoCore-9B: Towards Geo-Aware Generative Foundation Models in Earth Observation Sarmae: Masked autoencoder for sar representation learning

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:10:35.255956Z

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Observation 40116cfd-8ce6-4716-821f-4ef40ea828b9 · outbound

This paper cites Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow.

GeoCore-9B: Towards Geo-Aware Generative Foundation Models in Earth Observation Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow

Reference 25

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Observation 2d6c2915-15af-40b2-803d-57dc317e43ab · outbound

This paper cites Effective cloud removal for remote sensing images by an improved mean-reverting denoising model with elucidated design space.

GeoCore-9B: Towards Geo-Aware Generative Foundation Models in Earth Observation Effective cloud removal for remote sensing images by an improved mean-reverting denoising model with elucidated design space

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:10:35.229671Z

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Observation 31d1f837-0053-4e90-bf20-8c71d22906d5 · outbound

This paper cites Diffusion models meet remote sensing: Principles, methods, and perspectives.IEEE Transactions on Geoscience and Remote Sensing, 62:1–22, 2024.

GeoCore-9B: Towards Geo-Aware Generative Foundation Models in Earth Observation Diffusion models meet remote sensing: Principles, methods, and perspectives.IEEE Transactions on Geoscience and Remote Sensing, 62:1–22, 2024

Reference 27

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Observation d50b3ae6-045d-4963-814d-727d0d5b081f · outbound

This paper cites Exploring models and data for remote sensing image caption generation.IEEE Transactions on Geoscience and Remote Sensing, 56(4):2183–2195, 2017.

GeoCore-9B: Towards Geo-Aware Generative Foundation Models in Earth Observation Exploring models and data for remote sensing image caption generation.IEEE Transactions on Geoscience and Remote Sensing, 56(4):2183–2195, 2017

Reference 28

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Observation 0f568369-546b-4534-a49f-ff4d2b98db35 · outbound

This paper cites Cloud removal in sentinel-2 imagery using a deep residual neural network and sar-optical data fusion.ISPRS Journal of Photogrammetry and Remote Sensing, 166:333–346, 2020.

GeoCore-9B: Towards Geo-Aware Generative Foundation Models in Earth Observation Cloud removal in sentinel-2 imagery using a deep residual neural network and sar-optical data fusion.ISPRS Journal of Photogrammetry and Remote Sensing, 166:333–346, 2020

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:10:35.173330Z

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Observation 3b2e4a62-443f-4375-b100-3bd9ed5225fe · outbound

This paper cites Scalable diffusion models with transformers.

GeoCore-9B: Towards Geo-Aware Generative Foundation Models in Earth Observation Scalable diffusion models with transformers

Reference 30

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Observation 16c293b7-fcdc-4384-b393-2c908587e31d · outbound

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

GeoCore-9B: Towards Geo-Aware Generative Foundation Models in Earth Observation Learning transferable visual models from natural language supervision

Reference 31

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Observation fab7770b-5e73-4a2b-ad10-5d5c3ab4f9b9 · outbound

This paper cites Exploring the limits of transfer learning with a unified text-to-text transformer.Journal of machine learning research, 21(140):1–67, 2020.

GeoCore-9B: Towards Geo-Aware Generative Foundation Models in Earth Observation Exploring the limits of transfer learning with a unified text-to-text transformer.Journal of machine learning research, 21(140):1–67, 2020

Reference 32

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Observation e20e93c6-eaa4-425f-93d8-935326ba1b00 · outbound

This paper cites Zero: Memory optimiza- tions toward training trillion parameter models.

GeoCore-9B: Towards Geo-Aware Generative Foundation Models in Earth Observation Zero: Memory optimiza- tions toward training trillion parameter models

Reference 33

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Observation c35978a8-a42c-4a30-895d-651a30a97c88 · outbound

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

GeoCore-9B: Towards Geo-Aware Generative Foundation Models in Earth Observation Zero-shot text-to-image generation

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-15T15:10:34.149479Z

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Observation 7a362a39-1e46-4fba-9ec8-e06a7f7f71ac · outbound

This paper cites High- resolution image synthesis with latent diffusion models.

GeoCore-9B: Towards Geo-Aware Generative Foundation Models in Earth Observation High- resolution image synthesis with latent diffusion models

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-15T15:10:34.159177Z

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Observation 805cf4ad-d0c0-45d8-af80-79e0ff72cb74 · outbound

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

GeoCore-9B: Towards Geo-Aware Generative Foundation Models in Earth Observation Dae- gan: Dynamic aspect-aware gan for text-to-image synthesis

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:10:35.026813Z

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Observation 7e192703-d15a-48b0-b394-9a5293b9f800 · outbound

This paper cites Cloud removal from satellite images using spatiotemporal generator networks.

GeoCore-9B: Towards Geo-Aware Generative Foundation Models in Earth Observation Cloud removal from satellite images using spatiotemporal generator networks

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:10:34.982898Z

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Observation 86db28da-f80b-49a5-9da1-c520681e62c2 · outbound

This paper cites Rsdiff: Remote sensing image generation from text using diffusion model.Neural Computing and Applications, 36(36):23103–23111, 2024.

GeoCore-9B: Towards Geo-Aware Generative Foundation Models in Earth Observation Rsdiff: Remote sensing image generation from text using diffusion model.Neural Computing and Applications, 36(36):23103–23111, 2024

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:10:34.948352Z

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Observation ebaa5598-9af6-472e-9ba8-3c2d7e193f8c · outbound

This paper cites DINOv3.

GeoCore-9B: Towards Geo-Aware Generative Foundation Models in Earth Observation DINOv3

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-15T15:10:34.182990Z

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Observation 3e614da9-2211-476a-b7cf-9a7c19a3283f · outbound

This paper cites Roformer: Enhanced transformer with rotary position embedding.Neurocomputing, 568:127063, 2024.

GeoCore-9B: Towards Geo-Aware Generative Foundation Models in Earth Observation Roformer: Enhanced transformer with rotary position embedding.Neurocomputing, 568:127063, 2024

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-15T15:10:34.188182Z

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Observation 56993219-008e-4683-b690-9a3600085bed · outbound

This paper cites Crs-diff: Controllable remote sensing image generation with diffusion model.IEEE Transac- tions on Geoscience and Remote Sensing, 62:1–14, 2024.

GeoCore-9B: Towards Geo-Aware Generative Foundation Models in Earth Observation Crs-diff: Controllable remote sensing image generation with diffusion model.IEEE Transac- tions on Geoscience and Remote Sensing, 62:1–14, 2024

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:10:34.909597Z

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Observation 9a95964b-aacb-4879-a5e6-582c8716222c · outbound

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

GeoCore-9B: Towards Geo-Aware Generative Foundation Models in Earth Observation Df-gan: A simple and effective baseline for text-to-image synthesis

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:10:34.888934Z

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Observation add93ff0-938b-4540-b4b9-bab79fcf0e62 · outbound

This paper cites Loveda: A remote sensing land-cover dataset for domain adaptive semantic segmentation.

GeoCore-9B: Towards Geo-Aware Generative Foundation Models in Earth Observation Loveda: A remote sensing land-cover dataset for domain adaptive semantic segmentation

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:10:34.869215Z

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Observation e5297a95-dc67-43c9-99dd-0e1c0d1dc841 · outbound

This paper cites Stegogan: Leveraging steganography for non-bijective image-to-image translation.

GeoCore-9B: Towards Geo-Aware Generative Foundation Models in Earth Observation Stegogan: Leveraging steganography for non-bijective image-to-image translation

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:10:34.850928Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation fdedb28c-65bf-4022-9cdb-17e499119490 · outbound

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

GeoCore-9B: Towards Geo-Aware Generative Foundation Models in Earth Observation Attngan: Fine-grained text to image generation with attentional generative adversarial networks

Reference 45

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Observation ff40779a-0a65-439a-adf4-995edaede10c · outbound

This paper cites Txt2img- mhn: Remote sensing image generation from text using modern hopfield networks.IEEE Transactions on Image Processing, 32:5737–5750, 2023.

GeoCore-9B: Towards Geo-Aware Generative Foundation Models in Earth Observation Txt2img- mhn: Remote sensing image generation from text using modern hopfield networks.IEEE Transactions on Image Processing, 32:5737–5750, 2023

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:10:34.818460Z

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Observation bd12b973-42f6-4135-a6d9-2beefd379652 · outbound

This paper cites Reconstruction vs.

GeoCore-9B: Towards Geo-Aware Generative Foundation Models in Earth Observation Reconstruction vs

Reference 47

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Observation a3045863-8cd5-45cb-a0c0-051de11cc168 · outbound

This paper cites Deterministic Guidance Diffusion Model for Probabilistic Weather Forecasting.

GeoCore-9B: Towards Geo-Aware Generative Foundation Models in Earth Observation Deterministic Guidance Diffusion Model for Probabilistic Weather Forecasting

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-15T15:10:34.241939Z

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Observation 1a9a3d39-f20c-4178-8cf9-2caab43b1587 · outbound

This paper cites Transformer-based synthetic-to-measured sar image translation via learning of representational features.IEEE Transactions on Geoscience and Remote Sensing, 61:1–18, 2023.

GeoCore-9B: Towards Geo-Aware Generative Foundation Models in Earth Observation Transformer-based synthetic-to-measured sar image translation via learning of representational features.IEEE Transactions on Geoscience and Remote Sensing, 61:1–18, 2023

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:10:34.770280Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 9bc612c0-f40f-4661-8cc3-0f76bb795795 · outbound

This paper cites Representation Alignment for Generation: Training Diffusion Transformers Is Easier Than You Think.

GeoCore-9B: Towards Geo-Aware Generative Foundation Models in Earth Observation Representation Alignment for Generation: Training Diffusion Transformers Is Easier Than You Think

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-15T15:10:34.252008Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 421692bf-3741-4b3b-a673-31db812cecf3 · outbound

This paper cites Metaearth: A generative foundation model for global-scale remote sensing image generation.IEEE Transactions on Pattern Analysis and Machine Intelligence, 47(3):1764–1781, 2024.

GeoCore-9B: Towards Geo-Aware Generative Foundation Models in Earth Observation Metaearth: A generative foundation model for global-scale remote sensing image generation.IEEE Transactions on Pattern Analysis and Machine Intelligence, 47(3):1764–1781, 2024

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:10:34.749145Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 055d6b37-6831-48b0-a36b-e2cf1a80376b · outbound

This paper cites Adding conditional control to text-to-image diffusion models.

GeoCore-9B: Towards Geo-Aware Generative Foundation Models in Earth Observation Adding conditional control to text-to-image diffusion models

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-15T15:10:34.264004Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d773ac1f-655b-4f65-bb30-5f4b0f58c79c · outbound

This paper cites Text-to-remote-sensing-image generation with structured generative adversarial networks.IEEE Geoscience and Remote Sensing Letters, 19:1–5, 2021.

GeoCore-9B: Towards Geo-Aware Generative Foundation Models in Earth Observation Text-to-remote-sensing-image generation with structured generative adversarial networks.IEEE Geoscience and Remote Sensing Letters, 19:1–5, 2021

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-15T15:10:34.271645Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a36058bb-ad27-40f3-a777-760dc30962e2 · outbound

This paper cites Uni-controlnet: All-in-one control to text-to-image diffusion models.

GeoCore-9B: Towards Geo-Aware Generative Foundation Models in Earth Observation Uni-controlnet: All-in-one control to text-to-image diffusion models

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:10:34.694217Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 0a080bbc-a705-4bc1-8350-3be514e1a6ca · outbound

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

GeoCore-9B: Towards Geo-Aware Generative Foundation Models in Earth Observation Towards language-free training for text-to-image generation

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:10:34.668287Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b2001206-fb57-4454-83a5-d6a1afcd776a · outbound

This paper cites Unpaired image-to-image translation using cycle-consistent adversarial networks.

GeoCore-9B: Towards Geo-Aware Generative Foundation Models in Earth Observation Unpaired image-to-image translation using cycle-consistent adversarial networks

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-15T15:10:34.288264Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 65f71218-7296-4751-b1aa-7a2992438d5a · outbound

This paper cites PMAA: A Progressive Multi-scale Attention Autoencoder Model for High-performance Cloud Removal from Multi-temporal Satellite Imagery.

GeoCore-9B: Towards Geo-Aware Generative Foundation Models in Earth Observation PMAA: A Progressive Multi-scale Attention Autoencoder Model for High-performance Cloud Removal from Multi-temporal Satellite Imagery

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-15T15:10:34.294548Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 61b321d3-b68f-4403-b8b0-fcacc19cefae · outbound

This paper cites Diffcr: A fast conditional diffusion framework for cloud removal from optical satellite images.IEEE Transactions on Geoscience and Remote Sensing, 62:1–14, 2024.

GeoCore-9B: Towards Geo-Aware Generative Foundation Models in Earth Observation Diffcr: A fast conditional diffusion framework for cloud removal from optical satellite images.IEEE Transactions on Geoscience and Remote Sensing, 62:1–14, 2024

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:10:34.626781Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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