Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-10T18:33:11.929389Z
Paper Citation Record · LEDGER
As of 4 August 2026, this Paper Citation Record lists 100 of 117 outbound references and 1 inbound Pith citation observation for arXiv:2604.05629.
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 2026-05-10T18:33:11.929389Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-07-31T23:28:11.195717Z
A source-named dated measurement, never combined with another source.
Source: cited_works
100 of 117 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 80f51b5b-233e-4e83-8756-5ec80f216cf6 · outbound
A Unified Foundation Model for All-in-One Multi-Modal Remote Sensing Image Restoration and Fusion with Language Prompting SatlasPretrain: A large-scale dataset for remote sensing image understanding
Reference 1
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A Unified Foundation Model for All-in-One Multi-Modal Remote Sensing Image Restoration and Fusion with Language Prompting BitFit: Simple parameter-efficient fine-tuning for transformer-based masked language-models
Reference 2
Source-reported events for the cited work
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Reference 3
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A Unified Foundation Model for All-in-One Multi-Modal Remote Sensing Image Restoration and Fusion with Language Prompting Unsupervised learn- ing of visual features by contrasting cluster assignments
Reference 4
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A Unified Foundation Model for All-in-One Multi-Modal Remote Sensing Image Restoration and Fusion with Language Prompting Pre-trained image processing transformer
Reference 5
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Observation fa38f322-ba40-493f-9659-89901bfdf173 · outbound
A Unified Foundation Model for All-in-One Multi-Modal Remote Sensing Image Restoration and Fusion with Language Prompting Dynamic convolution: Attention over convolution kernels
Reference 6
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A Unified Foundation Model for All-in-One Multi-Modal Remote Sensing Image Restoration and Fusion with Language Prompting GradNorm: Gradient normalization for adaptive loss balancing in deep multitask networks
Reference 7
Source-reported events for the cited work
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A Unified Foundation Model for All-in-One Multi-Modal Remote Sensing Image Restoration and Fusion with Language Prompting Trinity-Net: Gradient- guided swin transformer-based remote sensing image dehaz- ing and beyond.IEEE Trans
Reference 8
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Observation 12688cb4-722c-453b-ad66-85ffcdbc14cb · outbound
A Unified Foundation Model for All-in-One Multi-Modal Remote Sensing Image Restoration and Fusion with Language Prompting Conde, Gregor Geigle, and Radu Timofte
Reference 9
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Observation 2e9245c8-e128-4bb7-b90f-9d0804007b0b · outbound
A Unified Foundation Model for All-in-One Multi-Modal Remote Sensing Image Restoration and Fusion with Language Prompting Lobell, and Stefano Ermon
Reference 10
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A Unified Foundation Model for All-in-One Multi-Modal Remote Sensing Image Restoration and Fusion with Language Prompting Enpowering your pansharpening models with generalizability: Unified distri- bution is all you need
Reference 11
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A Unified Foundation Model for All-in-One Multi-Modal Remote Sensing Image Restoration and Fusion with Language Prompting Sinkhorn distances: Lightspeed computation of optimal transport
Reference 12
Source-reported events for the cited work
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Observation c7a24eaf-d467-409d-bf84-4706bf33f0c9 · outbound
A Unified Foundation Model for All-in-One Multi-Modal Remote Sensing Image Restoration and Fusion with Language Prompting TerraFM: A scalable foundation model for unified multisensor earth observation.arXiv
Reference 13
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Observation fa15ab13-b840-43d6-ad88-0ea9de69a0b3 · outbound
A Unified Foundation Model for All-in-One Multi-Modal Remote Sensing Image Restoration and Fusion with Language Prompting ImageNet: A large-scale hierarchical image database
Reference 14
Source-reported events for the cited work
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Observation 736bd053-4b2b-4314-a15e-bbc2848aa14c · outbound
A Unified Foundation Model for All-in-One Multi-Modal Remote Sensing Image Restoration and Fusion with Language Prompting Machine learning in pansharpening: A benchmark, from shallow to deep networks.IEEE Geosci
Reference 15
Source-reported events for the cited work
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Observation 20045612-43d0-4645-883f-de150a9e4143 · outbound
A Unified Foundation Model for All-in-One Multi-Modal Remote Sensing Image Restoration and Fusion with Language Prompting An image is worth 16x16 words: Transformers for image recognition at scale
Reference 16
Source-reported events for the cited work
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Observation b9d9e2e4-4b13-4de0-bd23-7131fb4143b0 · outbound
A Unified Foundation Model for All-in-One Multi-Modal Remote Sensing Image Restoration and Fusion with Language Prompting Multisensor Data Fusion for Cloud Removal in Global and All-Season Sentinel-2 Imagery.IEEE Trans
Reference 17
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Observation f117999a-6416-4374-9895-c2456ce71e3a · outbound
A Unified Foundation Model for All-in-One Multi-Modal Remote Sensing Image Restoration and Fusion with Language Prompting Emelyanova, Tim R
Reference 18
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Observation 16fe58cf-2b98-42db-9280-c57158e0808e · outbound
A Unified Foundation Model for All-in-One Multi-Modal Remote Sensing Image Restoration and Fusion with Language Prompting Ro- bust SAR image despeckling by deep learning from near-real datasets.IEEE J
Reference 19
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Observation dbc21ff6-5313-483f-a0a1-d656d940d455 · outbound
A Unified Foundation Model for All-in-One Multi-Modal Remote Sensing Image Restoration and Fusion with Language Prompting SkySense: A multi-modal remote sensing foundation model towards universal inter- pretation for earth observation imagery
Reference 20
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Observation a2053d24-19f8-49ac-9ded-fddd5fcd126f · outbound
A Unified Foundation Model for All-in-One Multi-Modal Remote Sensing Image Restoration and Fusion with Language Prompting Wasserstein wormhole: Scalable optimal transport distance with transformer
Reference 21
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Observation 31057f1e-1db1-436b-b6af-d4eda4710725 · outbound
A Unified Foundation Model for All-in-One Multi-Modal Remote Sensing Image Restoration and Fusion with Language Prompting Diffusion models in low-level vision: A survey
Reference 22
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Observation e5e2848b-29e1-4c62-8ee0-845cb24eef65 · outbound
A Unified Foundation Model for All-in-One Multi-Modal Remote Sensing Image Restoration and Fusion with Language Prompting Deep residual learning for image recognition
Reference 23
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Observation 6af9c063-7755-4dfc-b7d9-304cfc0e8684 · outbound
A Unified Foundation Model for All-in-One Multi-Modal Remote Sensing Image Restoration and Fusion with Language Prompting Parameter-efficient transfer learning for NLP
Reference 24
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Observation a49736b6-c522-4202-b241-ba832ab29f98 · outbound
A Unified Foundation Model for All-in-One Multi-Modal Remote Sensing Image Restoration and Fusion with Language Prompting LoRA: Low-rank adaptation of large language models
Reference 25
Source-reported events for the cited work
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Observation 7772bb82-c1b4-45e5-ab43-43269e75461c · outbound
A Unified Foundation Model for All-in-One Multi-Modal Remote Sensing Image Restoration and Fusion with Language Prompting Single satellite optical imagery dehazing using sar image prior based on conditional generative adversarial net- works
Reference 26
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A Unified Foundation Model for All-in-One Multi-Modal Remote Sensing Image Restoration and Fusion with Language Prompting Transformer fusion with optimal transport
Reference 27
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Observation b7b63312-aa7d-478d-95bc-b43b0de5af5d · outbound
A Unified Foundation Model for All-in-One Multi-Modal Remote Sensing Image Restoration and Fusion with Language Prompting Optimal transport aggre- gation for visual place recognition
Reference 28
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Observation 31e05bc1-8bb2-4435-97d6-bc2222bb3604 · outbound
A Unified Foundation Model for All-in-One Multi-Modal Remote Sensing Image Restoration and Fusion with Language Prompting Jacobs, Michael I
Reference 29
Source-reported events for the cited work
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Observation 6f1ac56c-8429-4b6d-a29c-00ec814f0c30 · outbound
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Reference 30
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Observation 40d1273c-eb81-4fc3-b307-5cff2e97b445 · outbound
A Unified Foundation Model for All-in-One Multi-Modal Remote Sensing Image Restoration and Fusion with Language Prompting Spatio-temporal fusion for remote sensing data: An overview and new benchmark.Sci
Reference 31
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Observation 477432b6-0972-4b7b-b57c-42f1c5f82d6e · outbound
A Unified Foundation Model for All-in-One Multi-Modal Remote Sensing Image Restoration and Fusion with Language Prompting Tan, and Loong-Fah Cheong
Reference 32
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Observation c364fff0-55ac-4bf6-9bc4-a27736e0d094 · outbound
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Reference 33
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Observation 4862af7c-d59a-473b-aa31-bbe8dd0a6d44 · outbound
A Unified Foundation Model for All-in-One Multi-Modal Remote Sensing Image Restoration and Fusion with Language Prompting A remote sensing image dataset for cloud removal
Reference 34
Source-reported events for the cited work
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Observation c4891e1f-09ff-44dd-8448-5c64ff572eab · outbound
A Unified Foundation Model for All-in-One Multi-Modal Remote Sensing Image Restoration and Fusion with Language Prompting Conflict-averse gradient descent for multi-task learning
Reference 35
Source-reported events for the cited work
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Observation 27e33701-a1c4-4fc5-8920-b5681b9cc9d1 · outbound
A Unified Foundation Model for All-in-One Multi-Modal Remote Sensing Image Restoration and Fusion with Language Prompting Dora: weight-decomposed low-rank adaptation
Reference 36
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Observation 896df0f3-fa60-44fa-8f69-799435c7237e · outbound
A Unified Foundation Model for All-in-One Multi-Modal Remote Sensing Image Restoration and Fusion with Language Prompting Degae: A new pretraining paradigm for low-level vision
Reference 37
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Observation 31c0a235-4bf4-451d-be57-0f076fac91ff · outbound
A Unified Foundation Model for All-in-One Multi-Modal Remote Sensing Image Restoration and Fusion with Language Prompting Ai foundation models in remote sensing: A survey
Reference 38
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Observation 65214766-f171-4c43-9421-dc8adc7938a4 · outbound
A Unified Foundation Model for All-in-One Multi-Modal Remote Sensing Image Restoration and Fusion with Language Prompting Gustafsson, Zheng Zhao, Jens Sj¨olund, and Thomas B
Reference 39
Source-reported events for the cited work
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Reference 40
Source-reported events for the cited work
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A Unified Foundation Model for All-in-One Multi-Modal Remote Sensing Image Restoration and Fusion with Language Prompting Ardakani, and Angel D
Reference 41
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Observation 55c8f0fe-49cd-4aba-9002-b8eeb453407f · outbound
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Reference 42
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A Unified Foundation Model for All-in-One Multi-Modal Remote Sensing Image Restoration and Fusion with Language Prompting Sen2ven µs, a dataset for the training of sentinel-2 super-resolution algorithms.Data, 7(7):96
Reference 43
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Reference 44
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Observation b5e9bd6a-73a3-4861-a20d-4122f41d98c9 · outbound
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Reference 45
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Observation fb467035-0307-46e0-b191-d450c69e74ef · outbound
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Reference 46
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Observation a99beb15-0ff2-486c-a49b-f809f8a94f59 · outbound
A Unified Foundation Model for All-in-One Multi-Modal Remote Sensing Image Restoration and Fusion with Language Prompting 2, 6, 7, 13, 16
Reference 47
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Observation 644b748e-6842-4f00-9719-1137bc0ed58f · outbound
A Unified Foundation Model for All-in-One Multi-Modal Remote Sensing Image Restoration and Fusion with Language Prompting U-Net: Convolutional networks for biomedical image segmentation
Reference 48
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A Unified Foundation Model for All-in-One Multi-Modal Remote Sensing Image Restoration and Fusion with Language Prompting DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter
Reference 49
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Observation 764aad70-c49d-4c02-a87e-73312f0511b1 · outbound
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Reference 50
Source-reported events for the cited work
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Reference 51
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Observation ba43be69-7ca1-4db9-9ef5-a055f702e8f6 · outbound
A Unified Foundation Model for All-in-One Multi-Modal Remote Sensing Image Restoration and Fusion with Language Prompting Concerning nonnegative matrices and doubly stochastic matrices.Pac
Reference 52
Source-reported events for the cited work
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Observation c09e1a36-d85d-47b2-919e-2e85e4004d32 · outbound
A Unified Foundation Model for All-in-One Multi-Modal Remote Sensing Image Restoration and Fusion with Language Prompting Diffusion enhancement for cloud removal in ultra-resolution remote sensing imagery.IEEE Trans
Reference 53
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Observation 9312c89c-e608-4f78-91b1-bb546ddd5e07 · outbound
A Unified Foundation Model for All-in-One Multi-Modal Remote Sensing Image Restoration and Fusion with Language Prompting RingMo: A remote sensing foundation model with masked image modeling.IEEE Trans
Reference 54
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Observation 7aaf1542-7268-463c-bb5f-33ccba23ce08 · outbound
A Unified Foundation Model for All-in-One Multi-Modal Remote Sensing Image Restoration and Fusion with Language Prompting Unresolved cited work
Reference 55
Source-reported events for the cited work
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Observation 6bc8dc77-bec8-4f9f-a61c-16c0e096dae1 · outbound
A Unified Foundation Model for All-in-One Multi-Modal Remote Sensing Image Restoration and Fusion with Language Prompting Labeled dataset for training despeckling filters for SAR imagery.Data Brief., 53:110065
Reference 56
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Observation 61810af5-51da-4578-b0c3-ff98098f9c40 · outbound
A Unified Foundation Model for All-in-One Multi-Modal Remote Sensing Image Restoration and Fusion with Language Prompting Gomez, Łukasz Kaiser, and Illia Polosukhin
Reference 57
Source-reported events for the cited work
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Observation d66aa56e-5089-4f53-ac54-9fc417256e63 · outbound
A Unified Foundation Model for All-in-One Multi-Modal Remote Sensing Image Restoration and Fusion with Language Prompting Multisensor remote sensing 10 imagery super-resolution with conditional gan.J
Reference 58
Source-reported events for the cited work
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Observation 91b44fb7-f4f2-4823-a66d-3635483a3ec3 · outbound
A Unified Foundation Model for All-in-One Multi-Modal Remote Sensing Image Restoration and Fusion with Language Prompting GridFormer: Residual dense transformer with grid structure for image restoration in adverse weather conditions.IJCV, 132(10):4541–4563
Reference 59
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Observation 0b738fb7-be1b-4f68-a7d3-890da2344abc · outbound
A Unified Foundation Model for All-in-One Multi-Modal Remote Sensing Image Restoration and Fusion with Language Prompting Gradient as conditions: Rethinking HOG for all-in-one image restoration
Reference 60
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A Unified Foundation Model for All-in-One Multi-Modal Remote Sensing Image Restoration and Fusion with Language Prompting mHC: Manifold-constrained hyper-connections.arXiv
Reference 61
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Reference 62
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Reference 63
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Observation 8ed83ef1-f7c4-4281-94cc-cccc23d11029 · outbound
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Reference 64
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