Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-15T20:45:56.903337Z
Paper Citation Record · LEDGER
As of 18 August 2026, this Paper Citation Record lists 71 of 71 outbound references and 6 inbound Pith citation observations for arXiv:2505.12108.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-15T20:45:56.903337Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T10:28:21.278631Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-21T11:04:08.269882Z
71 of 71 outbound references displayed
External citation measurements
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Observation 724ee6a3-5dd7-4f7c-a6c5-0549af2fa553 · outbound
EarthSynth: Generating Informative Earth Observation with Diffusion Models Research progress on few-shot learning for remote sensing image interpretation,
Reference 1
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Observation 82b3ea45-10b7-4695-81b6-2f95aa8cef78 · outbound
EarthSynth: Generating Informative Earth Observation with Diffusion Models Addressing class imbalance in remote sensing using deep learning approaches: a systematic literature review,
Reference 2
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Observation b0b1432e-7d12-471c-8fd9-bd813b3ec002 · outbound
EarthSynth: Generating Informative Earth Observation with Diffusion Models Data Augmentation Generative Adversarial Networks
Reference 3
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Observation 0b4f4550-f97b-4214-bc61-886138d89743 · outbound
EarthSynth: Generating Informative Earth Observation with Diffusion Models High-resolution image synthesis with latent diffusion models,
Reference 4
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Observation b95c2785-4cae-46c6-b0f6-61ae980473e3 · outbound
EarthSynth: Generating Informative Earth Observation with Diffusion Models A comprehensive survey for generative data augmentation,
Reference 5
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Observation 01a133c2-618d-45e6-b2dd-eac8978168ef · outbound
EarthSynth: Generating Informative Earth Observation with Diffusion Models Is synthetic data from generative models ready for image recognition?
Reference 6
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Observation ab91bfcf-44be-4e43-af46-a4a070669d86 · outbound
EarthSynth: Generating Informative Earth Observation with Diffusion Models Effective Data Augmentation With Diffusion Models
Reference 7
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Observation 762eb648-1dc2-45ea-9a63-8c6df674248e · outbound
EarthSynth: Generating Informative Earth Observation with Diffusion Models Learning disentangled identifiers for action-customized text-to-image generation,
Reference 8
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Observation 90c89c3c-3095-46e4-9210-6648ff28b19c · outbound
EarthSynth: Generating Informative Earth Observation with Diffusion Models Self-Improving Diffusion Models with Synthetic Data
Reference 9
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Observation 33809995-48b4-484b-948f-348fa446d5ac · outbound
EarthSynth: Generating Informative Earth Observation with Diffusion Models Self-consuming generative models go MAD,
Reference 10
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Observation 8085d484-c918-4b17-bc79-6644c0f6420a · outbound
EarthSynth: Generating Informative Earth Observation with Diffusion Models Diversify your vision datasets with automatic diffusion-based augmentation,
Reference 11
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Observation 4b69f228-10e1-40cd-a8bb-e2db8f31ee95 · outbound
EarthSynth: Generating Informative Earth Observation with Diffusion Models Txt2img-mhn: Remote sensing image generation from text using modern hopfield networks,
Reference 12
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Observation e945448a-a341-43f2-86de-ef702b5ce5ec · outbound
EarthSynth: Generating Informative Earth Observation with Diffusion Models Improved techniques for training gans,
Reference 13
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Observation 63ed781f-c8ca-4c3d-9334-cf829e300833 · outbound
EarthSynth: Generating Informative Earth Observation with Diffusion Models DiffusionSat: A Generative Foundation Model for Satellite Imagery
Reference 14
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Observation 1938bec9-92bb-4370-bc43-33378b89cc4e · outbound
EarthSynth: Generating Informative Earth Observation with Diffusion Models Crs-diff: Controllable remote sensing image generation with diffusion model,
Reference 15
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Observation 2c56bf36-b081-4df8-b37b-2d770fcec4b6 · outbound
EarthSynth: Generating Informative Earth Observation with Diffusion Models Satsynth: Augmenting image- mask pairs through diffusion models for aerial semantic segmentation,
Reference 16
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Observation 238cfac1-1244-4d88-abc9-7c34c97eec28 · outbound
EarthSynth: Generating Informative Earth Observation with Diffusion Models AeroGen: Enhancing Remote Sensing Object Detection with Diffusion-Driven Data Generation
Reference 17
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Observation 0201323c-df5d-4737-8981-829f6b376359 · outbound
EarthSynth: Generating Informative Earth Observation with Diffusion Models Mmo-ig: Multi-class and multi-scale object image generation for remote sensing,
Reference 18
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Observation 111a2922-5bfe-45a3-a692-bd8512b9f072 · outbound
EarthSynth: Generating Informative Earth Observation with Diffusion Models Text2Earth: Unlocking Text-driven Remote Sensing Image Generation with a Global-Scale Dataset and a Foundation Model
Reference 19
Source-reported events for the cited work
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Observation e5dc2799-cc54-4714-bdd1-bd954ff4a091 · outbound
EarthSynth: Generating Informative Earth Observation with Diffusion Models Diffusion models meet remote sensing: Principles, methods, and perspectives,
Reference 20
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Observation 79e41d3a-469a-473c-baff-a200438ffca5 · outbound
EarthSynth: Generating Informative Earth Observation with Diffusion Models Dual-diffusion: Dual conditional denoising diffusion probabilistic models for blind super-resolution reconstruction in rsis,
Reference 21
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Observation e8dce29c-5916-4232-96df-a136835eae55 · outbound
EarthSynth: Generating Informative Earth Observation with Diffusion Models A multiscale generalized shrinkage threshold network for image blind deblurring in remote sensing,
Reference 22
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Observation bc2cf05b-401a-4d73-9a35-f4745c4c33a8 · outbound
EarthSynth: Generating Informative Earth Observation with Diffusion Models Diffusion models for spatio-temporal-spectral fusion of homogeneous gaofen-1 satellite platforms,
Reference 23
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Observation 878a271a-25fc-40d7-a4d6-fc2f1d58d728 · outbound
EarthSynth: Generating Informative Earth Observation with Diffusion Models Hyperspectral and panchromatic images fusion based on the dual conditional diffusion models,
Reference 24
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Observation afdc7f83-9d43-4af9-b70f-d75d9686e98f · outbound
EarthSynth: Generating Informative Earth Observation with Diffusion Models DDPM-CD: Denoising Diffusion Probabilistic Models as Feature Extractors for Change Detection
Reference 25
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Observation 4327f1aa-29e4-4508-bf87-26da9434c0ef · outbound
EarthSynth: Generating Informative Earth Observation with Diffusion Models Pred- iff: Precipitation nowcasting with latent diffusion models,
Reference 26
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Observation 5fe11f99-761b-4eef-87f5-16e74fe558a4 · outbound
EarthSynth: Generating Informative Earth Observation with Diffusion Models Geosynth: Contextually-aware high-resolution satellite image synthesis,
Reference 27
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Observation 738bcaf6-b2ef-43df-87ee-3b5c470f8b0f · outbound
EarthSynth: Generating Informative Earth Observation with Diffusion Models Advancing controllable diffusion model for few-shot object detection in optical remote sensing imagery,
Reference 28
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Observation 604f17e9-a420-4ac3-b510-40a659b21340 · outbound
EarthSynth: Generating Informative Earth Observation with Diffusion Models Controllable generative knowledge driven few-shot object detection from optical remote sensing imagery,
Reference 29
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Observation c4723f77-dee0-4d4d-8200-63e58e3d77d5 · outbound
EarthSynth: Generating Informative Earth Observation with Diffusion Models Control Copy-Paste: Controllable Diffusion-Based Augmentation Method for Remote Sensing Few-Shot Object Detection
Reference 30
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Observation 440ab313-f529-42dd-931b-3507ebfedca8 · outbound
EarthSynth: Generating Informative Earth Observation with Diffusion Models Domain-rag: Retrieval-guided compositional image generation for cross-domain few- shot object detection,
Reference 31
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Observation 9f8c8a53-32ed-4419-8348-118e0d2ad9d9 · outbound
EarthSynth: Generating Informative Earth Observation with Diffusion Models Styleadv: Meta style adversarial training for cross-domain few-shot learning,
Reference 32
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Observation fc8238df-ceff-4921-9d45-7ae49bb0195b · outbound
EarthSynth: Generating Informative Earth Observation with Diffusion Models Ntire 2025 challenge on cross-domain few-shot object detection: methods and results,
Reference 33
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Observation 3294a439-ec78-43f8-90da-ee7cd21ff144 · outbound
EarthSynth: Generating Informative Earth Observation with Diffusion Models Out-of-domain robustness via targeted augmentations,
Reference 34
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Observation 00f96741-a07d-4b76-899b-a91c2501c55d · outbound
EarthSynth: Generating Informative Earth Observation with Diffusion Models Reducing semantic confusion: Scene-aware aggregation network for remote sensing cross-modal retrieval,
Reference 35
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Observation bd3e59bb-4850-4ae4-b5e5-7ba334bd57cb · outbound
EarthSynth: Generating Informative Earth Observation with Diffusion Models A prior instruction representation framework for remote sensing image-text retrieval,
Reference 36
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Observation ebb86f6a-e6ef-4ee3-a1f3-6f5eab40f6e0 · outbound
EarthSynth: Generating Informative Earth Observation with Diffusion Models PriorCLIP: Visual Prior Guided Vision-Language Model for Remote Sensing Image-Text Retrieval
Reference 37
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Observation bc9517a2-9851-43a8-8de3-23b96c13ab9e · outbound
EarthSynth: Generating Informative Earth Observation with Diffusion Models Simple copy-paste is a strong data augmentation method for instance segmentation,
Reference 38
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Observation ec367884-14c4-4a42-95cb-4bd707d61b3a · outbound
EarthSynth: Generating Informative Earth Observation with Diffusion Models Generalized odin: Detecting out-of-distribution image without learning from out-of-distribution data,
Reference 39
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Observation da78d6a6-f2ce-44e0-8348-ecd61cee3da2 · outbound
EarthSynth: Generating Informative Earth Observation with Diffusion Models Direction-oriented visual–semantic embedding model for remote sensing image–text retrieval,
Reference 40
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Observation 84588155-3830-4e30-8709-4e1d8fc125b0 · outbound
EarthSynth: Generating Informative Earth Observation with Diffusion Models On the importance of gradients for detecting distributional shifts in the wild,
Reference 41
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Observation 02e49a5f-5a92-4c56-b4ad-008b3d41b9b0 · outbound
EarthSynth: Generating Informative Earth Observation with Diffusion Models U-net: Convolutional networks for biomedical image segmentation,
Reference 42
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Observation a98f9d6f-2ec5-41b1-8680-a74474165372 · outbound
EarthSynth: Generating Informative Earth Observation with Diffusion Models Adding conditional control to text-to-image diffu- sion models,
Reference 43
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Observation 914c398b-276e-471f-b3ac-29c28ef8ee93 · outbound
EarthSynth: Generating Informative Earth Observation with Diffusion Models Instancediffusion: Instance- level control for image generation,
Reference 44
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Observation d12ce751-0ea1-4979-9de8-a195ffd6fb7e · outbound
EarthSynth: Generating Informative Earth Observation with Diffusion Models Automatic segmentation and fitting of image edge contours based on douglas algorithm,
Reference 45
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Observation ffff67cb-b09c-4afe-9b14-b169b324ef7b · outbound
EarthSynth: Generating Informative Earth Observation with Diffusion Models Openearthmap: A benchmark dataset for global high-resolution land cover mapping,
Reference 46
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Observation 25dffc28-09c8-428d-be03-b99b8ccb5394 · outbound
EarthSynth: Generating Informative Earth Observation with Diffusion Models LoveDA: A Remote Sensing Land-Cover Dataset for Domain Adaptive Semantic Segmentation
Reference 47
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Observation 4513fffc-96cc-4c24-9e90-29ca0a217985 · outbound
EarthSynth: Generating Informative Earth Observation with Diffusion Models Deepglobe 2018: A challenge to parse the earth through satellite images,
Reference 48
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EarthSynth: Generating Informative Earth Observation with Diffusion Models Samrs: Scaling-up remote sensing segmentation dataset with segment anything model,
Reference 49
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Observation 30160d8c-a67e-475a-82c1-ff4208dc89ce · outbound
EarthSynth: Generating Informative Earth Observation with Diffusion Models Locate anything on earth: Advancing open-vocabulary object detection for remote sensing community,
Reference 50
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EarthSynth: Generating Informative Earth Observation with Diffusion Models Remote sensing image scene classification: Benchmark and state of the art,
Reference 51
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EarthSynth: Generating Informative Earth Observation with Diffusion Models Object detection in 20 years: A survey,
Reference 52
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EarthSynth: Generating Informative Earth Observation with Diffusion Models A review of semantic segmentation using deep neural networks,
Reference 53
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Observation 91d4f36c-6236-41ae-a9bb-775e2ed5e508 · outbound
EarthSynth: Generating Informative Earth Observation with Diffusion Models Learning transferable visual models from natural language supervi- sion,
Reference 54
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Observation 6c742172-67c8-4f1a-a971-e4a63c8b34f1 · outbound
EarthSynth: Generating Informative Earth Observation with Diffusion Models Detecting twenty-thousand classes using image-level supervision,
Reference 55
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Reference 56
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EarthSynth: Generating Informative Earth Observation with Diffusion Models Cross-domain few-shot object detection via enhanced open-set object detector,
Reference 57
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Reference 58
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Observation 1740c8b1-bbc3-4c06-acd8-878c172f9a0d · outbound
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Reference 59
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Reference 60
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EarthSynth: Generating Informative Earth Observation with Diffusion Models Towards open-vocabulary remote sensing image semantic segmentation,
Reference 61
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Reference 62
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EarthSynth: Generating Informative Earth Observation with Diffusion Models Dota: A large-scale dataset for object detection in aerial images,
Reference 63
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EarthSynth: Generating Informative Earth Observation with Diffusion Models 2d semantic labeling potsdam dataset
Reference 64
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Reference 65
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EarthSynth: Generating Informative Earth Observation with Diffusion Models Flair: a country-scale land cover semantic segmentation dataset from multi-source optical imagery,
Reference 66
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Observation 337b50f9-64c2-48b8-883f-0a2f3c0025b8 · outbound
EarthSynth: Generating Informative Earth Observation with Diffusion Models Gans trained by a two time-scale update rule converge to a local nash equilibrium,
Reference 67
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Observation 90d8bca8-bd31-42dd-a27d-65f38ed0da7d · outbound
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Reference 68
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Reference 69
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Reference 70
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Reference 71
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Reference 15
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Reference 39
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Reference 17
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Reference 34
Source-reported events for the cited work
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Observation 8e58a8b3-2300-49d8-8130-eec1c3825a2e · inbound
From Synchrony to Sequence: Exo-to-Ego Generation via Interpolation EarthSynth: Generating Informative Earth Observation with Diffusion Models
Reference 34
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