Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-10T22:44:30.688266Z
Paper Citation Record · LEDGER
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.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-10T22:44:30.688266Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-10T20:33:17.463837Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-01T08:25:33.081217Z
89 of 89 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation b67b6957-bab6-414e-ad8f-7dde7b3f387c · outbound
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
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
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
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
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
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
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
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
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
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
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
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
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
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,
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Observation 3b27f368-e1f4-45dc-a5a1-e6063c4e583a · outbound
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
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
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
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
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,
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Observation 562e37e5-9845-49bd-a83e-601ec109796e · outbound
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
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,
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Observation c0d33c2e-a32d-48a3-be98-e86a715044b1 · outbound
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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Observation 5aba10f8-af07-426d-804d-eb0fe0cede14 · outbound
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
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Observation 3dfc4e8e-3fd9-485f-95ef-77cbd31fb421 · outbound
Text2Earth: Unlocking Text-driven Remote Sensing Image Generation with a Global-Scale Dataset and a Foundation Model Conditional Generative Adversarial Nets
Reference 37
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Observation 22159c23-0963-4a43-b24d-4378a7c167a6 · outbound
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
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Observation 0551f7ff-b1d0-4c14-9e51-1448f5d77cba · outbound
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
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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
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Observation c1361ac5-edd8-490b-bdb4-03c70d84a8bc · outbound
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
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Observation c1c98914-ba45-48f5-9894-40d636bc3535 · outbound
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,
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Observation e941ef23-b53c-4c62-8f63-a42c77de1c1f · outbound
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,
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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,
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Text2Earth: Unlocking Text-driven Remote Sensing Image Generation with a Global-Scale Dataset and a Foundation Model Zero-shot text-to-image generation,
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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
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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
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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,
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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
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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
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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
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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,
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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
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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
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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
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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,
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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
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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
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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,
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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,
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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,
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Text2Earth: Unlocking Text-driven Remote Sensing Image Generation with a Global-Scale Dataset and a Foundation Model Improving text encoding for retro-remote sensing,
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Text2Earth: Unlocking Text-driven Remote Sensing Image Generation with a Global-Scale Dataset and a Foundation Model Retro-remote sensing with doc2vec encoding,
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Reference 68
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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,
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Observation 8de75e5d-7ef2-453c-9f8c-878fd587cf0e · outbound
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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Text2Earth: Unlocking Text-driven Remote Sensing Image Generation with a Global-Scale Dataset and a Foundation Model Neural discrete representation learning,
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Reference 74
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Reference 75
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Reference 79
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Reference 80
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Reference 81
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Reference 82
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Reference 83
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Reference 84
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Reference 85
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Reference 86
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Reference 87
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Reference 89
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Reference 293
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Reference 36
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Reference 36
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