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Paper Citation Record · LEDGER

A Unified Foundation Model for All-in-One Multi-Modal Remote Sensing Image Restoration and Fusion with Language Prompting

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.

pith.paper-citation-record.v1
2604.05629 v1

Coverage vector

measured 100 of 117 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-10T18:33:11.929389Z

measured 101 of 101 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-31T23:28:11.195717Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

100 of 117 outbound references displayed

  • verified exact0
  • verified fuzzy69
  • unresolved30
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 80f51b5b-233e-4e83-8756-5ec80f216cf6 · outbound

This paper cites SatlasPretrain: A large-scale dataset for remote sensing image understanding.

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

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 3e4e98b3-3d64-4593-ae57-48c474ef7175 · outbound

This paper cites BitFit: Simple parameter-efficient fine-tuning for transformer-based masked language-models.

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

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 167fd89c-e9d8-4ac9-bd0c-5d82cc7d988c · outbound

This paper cites an unresolved cited work.

A Unified Foundation Model for All-in-One Multi-Modal Remote Sensing Image Restoration and Fusion with Language Prompting Unresolved cited work

Reference 3

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Source-reported events for the cited work

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Observation 7c16af7c-400a-4dab-af4a-3b9ebd495b47 · outbound

This paper cites Unsupervised learn- ing of visual features by contrasting cluster assignments.

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

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation bce32b92-1bab-4728-ac22-37db0203d9ce · outbound

This paper cites Pre-trained image processing transformer.

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

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation fa38f322-ba40-493f-9659-89901bfdf173 · outbound

This paper cites Dynamic convolution: Attention over convolution kernels.

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

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 191f2301-87b6-4e2a-a776-cd8f71f2e1f3 · outbound

This paper cites GradNorm: Gradient normalization for adaptive loss balancing in deep multitask networks.

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

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation b2692c4d-c5d9-4ef5-83e2-ac7ee52b2a82 · outbound

This paper cites Trinity-Net: Gradient- guided swin transformer-based remote sensing image dehaz- ing and beyond.IEEE Trans.

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

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 12688cb4-722c-453b-ad66-85ffcdbc14cb · outbound

This paper cites Conde, Gregor Geigle, and Radu Timofte.

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

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 2e9245c8-e128-4bb7-b90f-9d0804007b0b · outbound

This paper cites Lobell, and Stefano Ermon.

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

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 849fc2ce-64ea-4731-a077-da2f61fb6e24 · outbound

This paper cites Enpowering your pansharpening models with generalizability: Unified distri- bution is all you need.

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

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation f28390ae-0511-4d2e-82cf-4838d75277f3 · outbound

This paper cites Sinkhorn distances: Lightspeed computation of optimal transport.

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

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation c7a24eaf-d467-409d-bf84-4706bf33f0c9 · outbound

This paper cites TerraFM: A scalable foundation model for unified multisensor earth observation.arXiv.

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

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation fa15ab13-b840-43d6-ad88-0ea9de69a0b3 · outbound

This paper cites ImageNet: A large-scale hierarchical image database.

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

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T18:33:11.929389Z digest=sha256:d0b169f5c6f7295f20cbf4025bc2f480c3f35b19e4aa8e13d60da2b6adb96f20

Observation 736bd053-4b2b-4314-a15e-bbc2848aa14c · outbound

This paper cites Machine learning in pansharpening: A benchmark, from shallow to deep networks.IEEE Geosci.

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

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 20045612-43d0-4645-883f-de150a9e4143 · outbound

This paper cites An image is worth 16x16 words: Transformers for image recognition at scale.

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

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation b9d9e2e4-4b13-4de0-bd23-7131fb4143b0 · outbound

This paper cites Multisensor Data Fusion for Cloud Removal in Global and All-Season Sentinel-2 Imagery.IEEE Trans.

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

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation f117999a-6416-4374-9895-c2456ce71e3a · outbound

This paper cites Emelyanova, Tim R.

A Unified Foundation Model for All-in-One Multi-Modal Remote Sensing Image Restoration and Fusion with Language Prompting Emelyanova, Tim R

Reference 18

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 16fe58cf-2b98-42db-9280-c57158e0808e · outbound

This paper cites Ro- bust SAR image despeckling by deep learning from near-real datasets.IEEE J.

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

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation dbc21ff6-5313-483f-a0a1-d656d940d455 · outbound

This paper cites SkySense: A multi-modal remote sensing foundation model towards universal inter- pretation for earth observation imagery.

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

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation a2053d24-19f8-49ac-9ded-fddd5fcd126f · outbound

This paper cites Wasserstein wormhole: Scalable optimal transport distance with transformer.

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

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 31057f1e-1db1-436b-b6af-d4eda4710725 · outbound

This paper cites Diffusion models in low-level vision: A survey.

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

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T18:33:11.929389Z digest=sha256:a1eafbb797a9b6397bd5a5f2a879ebf15e967fe1dadae38f29e00dc38affee10

Observation e5e2848b-29e1-4c62-8ee0-845cb24eef65 · outbound

This paper cites Deep residual learning for image recognition.

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

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T18:33:11.929389Z digest=sha256:52c6fb3b274498a652a0b209c6dca9974a317b89f030850c1cf5aa911a2b5d8e

Observation 6af9c063-7755-4dfc-b7d9-304cfc0e8684 · outbound

This paper cites Parameter-efficient transfer learning for NLP.

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

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T18:33:11.929389Z digest=sha256:bd9f2be3b65a4b6f119b86bb8cf0851be9b0a2d147225ce89e063e227c3b089c

Observation a49736b6-c522-4202-b241-ba832ab29f98 · outbound

This paper cites LoRA: Low-rank adaptation of large language models.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T18:23:15.537498Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 7772bb82-c1b4-45e5-ab43-43269e75461c · outbound

This paper cites Single satellite optical imagery dehazing using sar image prior based on conditional generative adversarial net- works.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T18:23:15.358563Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation d1d2fe10-c923-4a59-bc40-ea66564887f7 · outbound

This paper cites Transformer fusion with optimal transport.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T18:23:15.553325Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation b7b63312-aa7d-478d-95bc-b43b0de5af5d · outbound

This paper cites Optimal transport aggre- gation for visual place recognition.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T18:23:15.636168Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T18:33:11.929389Z digest=sha256:428cba3ccf7accc932a75457254be96915f0baf39b5547e910962001e081c5f5

Observation 31e05bc1-8bb2-4435-97d6-bc2222bb3604 · outbound

This paper cites Jacobs, Michael I.

A Unified Foundation Model for All-in-One Multi-Modal Remote Sensing Image Restoration and Fusion with Language Prompting Jacobs, Michael I

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T18:23:15.499825Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T18:33:11.929389Z digest=sha256:b7e0686a65676c6387704bdf7587dd9f9ef2476991fabb6fc7366a7a976cf57a

Observation 6f1ac56c-8429-4b6d-a29c-00ec814f0c30 · outbound

This paper cites All-In-One Image Restoration for Unknown Corruption.

A Unified Foundation Model for All-in-One Multi-Modal Remote Sensing Image Restoration and Fusion with Language Prompting All-In-One Image Restoration for Unknown Corruption

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T18:23:15.588239Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T18:33:11.929389Z digest=sha256:74d36942731ae48d29b65f3f16b87fdb96b8d171b7a44b7549413dc10aaad0a1

Observation 40d1273c-eb81-4fc3-b307-5cff2e97b445 · outbound

This paper cites Spatio-temporal fusion for remote sensing data: An overview and new benchmark.Sci.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T18:23:15.549945Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T18:33:11.929389Z digest=sha256:c21545cd39b8eb2b8cfce803c653928b3564be5507f6463a9c2ce4afb09a0607

Observation 477432b6-0972-4b7b-b57c-42f1c5f82d6e · outbound

This paper cites Tan, and Loong-Fah Cheong.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T18:23:15.519777Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T18:33:11.929389Z digest=sha256:66fd005f9838e76ea7c7a7c7f0d94d057877c12738307640d00735e10c5cf7cd

Observation c364fff0-55ac-4bf6-9bc4-a27736e0d094 · outbound

This paper cites Scaling & shifting your features: a new baseline for efficient model tuning.

A Unified Foundation Model for All-in-One Multi-Modal Remote Sensing Image Restoration and Fusion with Language Prompting Scaling & shifting your features: a new baseline for efficient model tuning

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T18:23:15.350278Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T18:33:11.929389Z digest=sha256:ecfa290d07c9007ba8b1e65933d64681fb7c4107bafcb1a493958644b3560a98

Observation 4862af7c-d59a-473b-aa31-bbe8dd0a6d44 · outbound

This paper cites A remote sensing image dataset for cloud removal.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T18:23:15.541104Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T18:33:11.929389Z digest=sha256:56ea9f1afdec81bfcb4618d6a4db5dd6894760897a1ba7c26f567d0c7ea673a4

Observation c4891e1f-09ff-44dd-8448-5c64ff572eab · outbound

This paper cites Conflict-averse gradient descent for multi-task learning.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T18:23:15.344775Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T18:33:11.929389Z digest=sha256:bd5d5c637591a5562c9da7c61d57696eb028df9c794faa9b932b571788570d3e

Observation 27e33701-a1c4-4fc5-8920-b5681b9cc9d1 · outbound

This paper cites Dora: weight-decomposed low-rank adaptation.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T18:23:15.389148Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T18:33:11.929389Z digest=sha256:0cef3032c10cf26f7ed09e9fcdf798bc5e7817816f7822676bb35c340c8663d6

Observation 896df0f3-fa60-44fa-8f69-799435c7237e · outbound

This paper cites Degae: A new pretraining paradigm for low-level vision.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T18:23:15.457871Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T18:33:11.929389Z digest=sha256:cfaf4739cf69c9b1c7008d69affdfc439290d2b1a1f8b7c2f317b7a79e1fe2c1

Observation 31c0a235-4bf4-451d-be57-0f076fac91ff · outbound

This paper cites Ai foundation models in remote sensing: A survey.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T18:23:15.435115Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T18:33:11.929389Z digest=sha256:b6f73afe3ad376ee9bf24b802480dfed16f54ace964875dadf905a87834a4ac8

Observation 65214766-f171-4c43-9421-dc8adc7938a4 · outbound

This paper cites Gustafsson, Zheng Zhao, Jens Sj¨olund, and Thomas B.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T18:23:15.339394Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T18:33:11.929389Z digest=sha256:a9758da5e677f8c07e4f8e933d4dd84b5f05e590ef236013ba9f970a284b6dde

Observation 39e46da4-23e2-4c5e-a4f5-bdf73d65b26f · outbound

This paper cites Visualizing data using t-SNE.J.

A Unified Foundation Model for All-in-One Multi-Modal Remote Sensing Image Restoration and Fusion with Language Prompting Visualizing data using t-SNE.J

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T18:23:15.523369Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T18:33:11.929389Z digest=sha256:bf314d7cd929d8d1fff7a837c6d8759887398a0980df0c33a59d2abf3d276641

Observation 5c622bed-6cfa-4148-b5e4-125ac8394d4b · outbound

This paper cites Ardakani, and Angel D.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T18:23:15.401114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T18:33:11.929389Z digest=sha256:2a7e5784f989c8e27820b37b7076a7db026a159b31ddf35e8b464ae1221f572f

Observation 55c8f0fe-49cd-4aba-9002-b8eeb453407f · outbound

This paper cites A large-scale benchmark data set for evalu- ating pansharpening performance: Overview and implementa- tion.IEEE Geosci.

A Unified Foundation Model for All-in-One Multi-Modal Remote Sensing Image Restoration and Fusion with Language Prompting A large-scale benchmark data set for evalu- ating pansharpening performance: Overview and implementa- tion.IEEE Geosci

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T18:23:15.474429Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T18:33:11.929389Z digest=sha256:94b90e1aa3b014d1f8e136ee4217748a520a8480957a2bb4c111b1f741dc98fd

Observation 9a07fbd1-f976-43ca-8529-59f650c0dfd5 · outbound

This paper cites Sen2ven µs, a dataset for the training of sentinel-2 super-resolution algorithms.Data, 7(7):96.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T18:23:15.674812Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T18:33:11.929389Z digest=sha256:4711639d45ee908abbf73635ebc05100a41021a8b4d7f42fa8e17d933852b231

Observation 19b2da38-f87f-4aee-8fd7-df49acd186fd · outbound

This paper cites Multi-task learning as a bargaining game.

A Unified Foundation Model for All-in-One Multi-Modal Remote Sensing Image Restoration and Fusion with Language Prompting Multi-task learning as a bargaining game

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T18:23:15.597863Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T18:33:11.929389Z digest=sha256:67f839314c2c2b8bcc9ac6a79ebe25949cbbd8add77ea307d5e2d0da11616cf1

Observation b5e9bd6a-73a3-4861-a20d-4122f41d98c9 · outbound

This paper cites Learning dual convolutional neural networks for low-level vision.

A Unified Foundation Model for All-in-One Multi-Modal Remote Sensing Image Restoration and Fusion with Language Prompting Learning dual convolutional neural networks for low-level vision

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T18:23:15.353066Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T18:33:11.929389Z digest=sha256:75c00209febe1bb299a9580ef69dcf3a911555172565641cbbd30fe0c2b9b6e8

Observation fb467035-0307-46e0-b191-d450c69e74ef · outbound

This paper cites PromptIR: prompting for all-in-one blind image restoration.

A Unified Foundation Model for All-in-One Multi-Modal Remote Sensing Image Restoration and Fusion with Language Prompting PromptIR: prompting for all-in-one blind image restoration

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T18:23:15.646350Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T18:33:11.929389Z digest=sha256:9faaa890548cb7c2b1bdfecf252288f655f22b26a357575a3d8114ad1aed65d7

Observation a99beb15-0ff2-486c-a49b-f809f8a94f59 · outbound

This paper cites 2, 6, 7, 13, 16.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T18:23:15.364094Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T18:33:11.929389Z digest=sha256:51237dae126c631aa61b970029d2dcff7aa1733f02ab36a4f9910197cbe875dd

Observation 644b748e-6842-4f00-9719-1137bc0ed58f · outbound

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

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

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T18:23:15.410088Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T18:33:11.929389Z digest=sha256:345eded1433ed36250c6afd9a598b11ab91ebc0ae4f02c37c3350fa0503f2958

Observation 5b391d98-fc55-4ad8-b1c7-0a7bee3c91f9 · outbound

This paper cites DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T18:23:15.630940Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T18:33:11.929389Z digest=sha256:b082edf21701f2080a158a2aa3ffe926775b5dcfa33f456f42a8c74c27466a92

Observation 764aad70-c49d-4c02-a87e-73312f0511b1 · outbound

This paper cites SuperGlue: Learning feature match- ing with graph neural networks.

A Unified Foundation Model for All-in-One Multi-Modal Remote Sensing Image Restoration and Fusion with Language Prompting SuperGlue: Learning feature match- ing with graph neural networks

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T18:23:15.394981Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T18:33:11.929389Z digest=sha256:90e5dd610d5fbef1e992ffd493543e9b39b1201db507fe1f828210114b252a45

Observation b785c8c5-4d1d-4b37-896a-5fe4f51706f1 · outbound

This paper cites Multi-task learning as multi- objective optimization.

A Unified Foundation Model for All-in-One Multi-Modal Remote Sensing Image Restoration and Fusion with Language Prompting Multi-task learning as multi- objective optimization

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T18:23:15.614722Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T18:33:11.929389Z digest=sha256:d6301ae1d43df92593f53b107a7daf8fbf2dd42150ad9a057d4d5a32e2a01e68

Observation ba43be69-7ca1-4db9-9ef5-a055f702e8f6 · outbound

This paper cites Concerning nonnegative matrices and doubly stochastic matrices.Pac.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T18:23:15.625688Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T18:33:11.929389Z digest=sha256:ceb1274a245f3d7e1a20c2dff11360c009573441a16d389c2b4e2ff6ce706408

Observation c09e1a36-d85d-47b2-919e-2e85e4004d32 · outbound

This paper cites Diffusion enhancement for cloud removal in ultra-resolution remote sensing imagery.IEEE Trans.

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

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Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T18:23:15.507370Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T18:33:11.929389Z digest=sha256:0fb147e3f8f411dce24b98587775406950a0cbc689f1d973a1b672a7fe0f2f66

Observation 9312c89c-e608-4f78-91b1-bb546ddd5e07 · outbound

This paper cites RingMo: A remote sensing foundation model with masked image modeling.IEEE Trans.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T18:23:15.708106Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T18:33:11.929389Z digest=sha256:59cc08c1d1602bc52503397564c8ac61478257037b60fe1946a056d7d66948b5

Observation 7aaf1542-7268-463c-bb5f-33ccba23ce08 · outbound

This paper cites an unresolved cited work.

A Unified Foundation Model for All-in-One Multi-Modal Remote Sensing Image Restoration and Fusion with Language Prompting Unresolved cited work

Reference 55

Resolution
unresolved
raw_fallback, observed 2026-05-16T18:23:15.510809Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T18:33:11.929389Z digest=sha256:41cdda8ad26f2d45a3ef5f8715e0b510b090d4f44b3bed7ecc42116c06332b40

Observation 6bc8dc77-bec8-4f9f-a61c-16c0e096dae1 · outbound

This paper cites Labeled dataset for training despeckling filters for SAR imagery.Data Brief., 53:110065.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T18:23:15.515232Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T18:33:11.929389Z digest=sha256:f799c57eaa63b76efdb72918fe0140a8c3149cd65b4663ca2710243617ae974b

Observation 61810af5-51da-4578-b0c3-ff98098f9c40 · outbound

This paper cites Gomez, Łukasz Kaiser, and Illia Polosukhin.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T18:23:15.574631Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T18:33:11.929389Z digest=sha256:d646254ef4d78e22fd939907a43f452982b42f7405a3320d14b8b0c6a570cf90

Observation d66aa56e-5089-4f53-ac54-9fc417256e63 · outbound

This paper cites Multisensor remote sensing 10 imagery super-resolution with conditional gan.J.

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

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Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T18:23:15.361295Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T18:33:11.929389Z digest=sha256:15b96ba999e2c6cbc8cee5bf2114cfcc3a0683fc29324a63436ffb13a81145ab

Observation 91b44fb7-f4f2-4823-a66d-3635483a3ec3 · outbound

This paper cites GridFormer: Residual dense transformer with grid structure for image restoration in adverse weather conditions.IJCV, 132(10):4541–4563.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T18:23:15.633676Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T18:33:11.929389Z digest=sha256:f46af546fed381d0c1b41bba80115cebc71649a62ca6c20e29ceb597abd4563e

Observation 0b738fb7-be1b-4f68-a7d3-890da2344abc · outbound

This paper cites Gradient as conditions: Rethinking HOG for all-in-one image restoration.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T18:23:15.620426Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T18:33:11.929389Z digest=sha256:e391d7fef1a9daf51731c68215688560fb280ffa760d46d866864c9c0ad946f2

Observation 73ee2043-8669-4281-a781-05f75cdae16e · outbound

This paper cites mHC: Manifold-constrained hyper-connections.arXiv.

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

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Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T18:23:15.570836Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T18:33:11.929389Z digest=sha256:d3010e51b6391a22e4d6e448b5c52cf317dd49e067039d457b48b01bfb5a5ea6

Observation 4c1872cc-47f2-4d48-a6a1-2365d0868d7c · outbound

This paper cites Condconv: Conditionally parameterized convolutions for efficient inference.

A Unified Foundation Model for All-in-One Multi-Modal Remote Sensing Image Restoration and Fusion with Language Prompting Condconv: Conditionally parameterized convolutions for efficient inference

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T18:23:15.679991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T18:33:11.929389Z digest=sha256:dfc4b7b75cf74569ec0699b95984452368e518d8ff23acbe7a98036a37392925

Observation fa36d711-9d72-4087-afbe-01808c225176 · outbound

This paper cites mHC-lite: You Don’t Need 20 Sinkhorn-Knopp Iterations.arXiv.

A Unified Foundation Model for All-in-One Multi-Modal Remote Sensing Image Restoration and Fusion with Language Prompting mHC-lite: You Don’t Need 20 Sinkhorn-Knopp Iterations.arXiv

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Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T18:23:15.661824Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T18:33:11.929389Z digest=sha256:dd624c103aa76bea2b50e21eceec407d774d0070e821d7cd80a8dfcb86f7dbf1

Observation 8ed83ef1-f7c4-4281-94cc-cccc23d11029 · outbound

This paper cites All-In-One Medical Image Restoration via Task-Adaptive Routing.

A Unified Foundation Model for All-in-One Multi-Modal Remote Sensing Image Restoration and Fusion with Language Prompting All-In-One Medical Image Restoration via Task-Adaptive Routing

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T18:23:15.378027Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T18:33:11.929389Z digest=sha256:7962ae836c3c11284ab7f8d4886f473dd5136737a25677cae05721acf82dd148

Observation 0f8e5eb4-d7c3-49d2-8f8d-90cf8d316e4d · outbound

This paper cites Gradient surgery for multi-task learning.

A Unified Foundation Model for All-in-One Multi-Modal Remote Sensing Image Restoration and Fusion with Language Prompting Gradient surgery for multi-task learning

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T18:23:15.703201Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T18:33:11.929389Z digest=sha256:e96016eab680628f0ac7c518287f5a8d1a65c61297b4b2f73c65853cf47c910d

Observation 0a12c75b-bd72-40e2-9339-65eaa72ecb70 · outbound

This paper cites an unresolved cited work.

A Unified Foundation Model for All-in-One Multi-Modal Remote Sensing Image Restoration and Fusion with Language Prompting Unresolved cited work

Reference 66

Resolution
unresolved
raw_fallback, observed 2026-05-16T18:23:15.557128Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T18:33:11.929389Z digest=sha256:c8f1434eff5b0d3d160d8e24f5fb7c7c6ee65a6e3dbac864c4ed5a51f4081f88

Observation 1a2f586e-095f-44e2-8882-4fe4fb769a4d · outbound

This paper cites Com- plexity experts are task-discriminative learners for any image restoration.

A Unified Foundation Model for All-in-One Multi-Modal Remote Sensing Image Restoration and Fusion with Language Prompting Com- plexity experts are task-discriminative learners for any image restoration

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T18:23:15.659154Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T18:33:11.929389Z digest=sha256:e14455da742eccc873a91535a901e92d55e51a890cb48c80cf31846e91b819c9

Observation 724bbd02-d71a-4072-8934-5ac9570ba668 · outbound

This paper cites Restormer: Efficient transformer for high-resolution image restoration.

A Unified Foundation Model for All-in-One Multi-Modal Remote Sensing Image Restoration and Fusion with Language Prompting Restormer: Efficient transformer for high-resolution image restoration

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T18:23:15.648930Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T18:33:11.929389Z digest=sha256:931f8c12d6121bf01a528559aff81fe5517b1a5c566d08f4d5d5e4adfed8b340

Observation 571b098a-e005-4e48-99f3-1ead93b12459 · outbound

This paper cites Dense haze removal based on dynamic collaborative inference learning for remote sensing images.IEEE Trans.

A Unified Foundation Model for All-in-One Multi-Modal Remote Sensing Image Restoration and Fusion with Language Prompting Dense haze removal based on dynamic collaborative inference learning for remote sensing images.IEEE Trans

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T18:23:15.375325Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T18:33:11.929389Z digest=sha256:c7214c01e830af35136376d7b1d613b90877df44a3d0957c9df95f3f5ab662b4

Observation 37a0830f-e66c-452e-b4b9-996c9a19be8a · outbound

This paper cites RS5M and GeoRSCLIP: A large scale vision-language dataset and a large vision-language model for remote sensing.IEEE Trans.

A Unified Foundation Model for All-in-One Multi-Modal Remote Sensing Image Restoration and Fusion with Language Prompting RS5M and GeoRSCLIP: A large scale vision-language dataset and a large vision-language model for remote sensing.IEEE Trans

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T18:23:15.578531Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T18:33:11.929389Z digest=sha256:e8f6cf7759872018f5d7ccddbb918a8fe32e1cbf4ce02bf6794f807ee089704a

Observation 1e898341-27ce-4472-9662-845e51a545e7 · outbound

This paper cites Towards vision-language geo- foundation model: A survey.

A Unified Foundation Model for All-in-One Multi-Modal Remote Sensing Image Restoration and Fusion with Language Prompting Towards vision-language geo- foundation model: A survey

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T18:23:15.562261Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T18:33:11.929389Z digest=sha256:634337f6ba74a6a9889e583a093547783841efa7812d2679ba31ef0abd3f66e0

Observation 1e4d5fd7-df22-4159-8c80-6a4c82bd0d6a · outbound

This paper cites an unresolved cited work.

A Unified Foundation Model for All-in-One Multi-Modal Remote Sensing Image Restoration and Fusion with Language Prompting Unresolved cited work

Reference 72

Resolution
malformed identifier
raw_fallback, observed 2026-05-16T18:23:15.697769Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T18:33:11.929389Z digest=sha256:917e01e373afa3a5b32357d02c8c0f1d46c097aef872f4789c266edfef5c0f1b

Observation f62922e2-114a-492c-a328-f21e1372ef11 · outbound

This paper cites an unresolved cited work.

A Unified Foundation Model for All-in-One Multi-Modal Remote Sensing Image Restoration and Fusion with Language Prompting Unresolved cited work

Reference 73

Resolution
unresolved
raw_fallback, observed 2026-05-16T18:23:15.583253Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T18:33:11.929389Z digest=sha256:29d4d41f65ab0a51c4d4686d9507f945c68a9735c31193bf54347a85d08c8723

Observation d1c8e1f0-780e-4634-8fb4-94ddf223893f · outbound

This paper cites an unresolved cited work.

A Unified Foundation Model for All-in-One Multi-Modal Remote Sensing Image Restoration and Fusion with Language Prompting Unresolved cited work

Reference 74

Resolution
unresolved
raw_fallback, observed 2026-05-16T18:23:15.331138Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T18:33:11.929389Z digest=sha256:b42174c333282462a918f472f2fc67b652f484e48edee68a49ed020d8d92f8a6

Observation ba0621f0-de77-466e-98ee-7f235cb1a2fd · outbound

This paper cites an unresolved cited work.

A Unified Foundation Model for All-in-One Multi-Modal Remote Sensing Image Restoration and Fusion with Language Prompting Unresolved cited work

Reference 75

Resolution
unresolved
raw_fallback, observed 2026-05-16T18:23:15.333954Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T18:33:11.929389Z digest=sha256:3a06c96fcba68a4854e3b5fa96c74762b91cbd9da0e763556d8a860d4a2eb859

Observation e24fd189-c16c-4897-9ad6-b8082ea4a48c · outbound

This paper cites an unresolved cited work.

A Unified Foundation Model for All-in-One Multi-Modal Remote Sensing Image Restoration and Fusion with Language Prompting Unresolved cited work

Reference 76

Resolution
unresolved
raw_fallback, observed 2026-05-16T18:23:15.420418Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T18:33:11.929389Z digest=sha256:5408110570309a21f9f0c52da86924a19c0c322a17d303e47d84b13cf28a4c1f

Observation 0906c9eb-5dba-4ec1-aa34-7618dad7e4ce · outbound

This paper cites an unresolved cited work.

A Unified Foundation Model for All-in-One Multi-Modal Remote Sensing Image Restoration and Fusion with Language Prompting Unresolved cited work

Reference 77

Resolution
unresolved
raw_fallback, observed 2026-05-16T18:23:15.714873Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T18:33:11.929389Z digest=sha256:4b8b09210598d2c7a73fcb784c1c2075da84173f6c924dc16e5489b7eeb15001

Observation c5279a9d-9f6d-41c9-9a7e-0b4ff164be41 · outbound

This paper cites an unresolved cited work.

A Unified Foundation Model for All-in-One Multi-Modal Remote Sensing Image Restoration and Fusion with Language Prompting Unresolved cited work

Reference 78

Resolution
unresolved
raw_fallback, observed 2026-05-16T18:23:15.712688Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T18:33:11.929389Z digest=sha256:2968357ac62a2d1fc3cabdfce9f2590912d0cb1a97ffcfce690554899abb4371

Observation 5e1a3da0-5dfa-467b-8bc3-1312d71dede4 · outbound

This paper cites an unresolved cited work.

A Unified Foundation Model for All-in-One Multi-Modal Remote Sensing Image Restoration and Fusion with Language Prompting Unresolved cited work

Reference 79

Resolution
unresolved
raw_fallback, observed 2026-05-16T18:23:15.710310Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T18:33:11.929389Z digest=sha256:31eece5cf51cf31f4179cb056af0fdec86efd59ae852e8ec06c4f9e81d84717c

Observation 73206361-e4b6-4e43-8de6-544ee68f3793 · outbound

This paper cites an unresolved cited work.

A Unified Foundation Model for All-in-One Multi-Modal Remote Sensing Image Restoration and Fusion with Language Prompting Unresolved cited work

Reference 80

Resolution
unresolved
raw_fallback, observed 2026-05-16T18:23:15.672127Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T18:33:11.929389Z digest=sha256:bc54bb2a038ff198d46d0f001cf05b37546ab81d6946be39638cecae38aa9742

Observation 19867dae-3858-46b9-9b15-68274d00fd61 · outbound

This paper cites an unresolved cited work.

A Unified Foundation Model for All-in-One Multi-Modal Remote Sensing Image Restoration and Fusion with Language Prompting Unresolved cited work

Reference 81

Resolution
unresolved
raw_fallback, observed 2026-05-16T18:23:15.684927Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T18:33:11.929389Z digest=sha256:49ccb9f0e8ddf62b95a182a10e68ff3c9009d1bafe5ae9441ec1408202514d67

Observation 2b25b3f7-2936-4916-9bb2-469f77b0ce58 · outbound

This paper cites an unresolved cited work.

A Unified Foundation Model for All-in-One Multi-Modal Remote Sensing Image Restoration and Fusion with Language Prompting Unresolved cited work

Reference 82

Resolution
unresolved
raw_fallback, observed 2026-05-16T18:23:15.638779Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T18:33:11.929389Z digest=sha256:3510bb6cd0e1098207b4e68841a6331393f8e7a8ef3c81266455ce3880265c58

Observation 21d228b3-3351-41aa-b849-5e9e169a3b28 · outbound

This paper cites an unresolved cited work.

A Unified Foundation Model for All-in-One Multi-Modal Remote Sensing Image Restoration and Fusion with Language Prompting Unresolved cited work

Reference 83

Resolution
unresolved
raw_fallback, observed 2026-05-16T18:23:15.692666Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T18:33:11.929389Z digest=sha256:7f0cfb9b825a0f35312143cf65a0c42aa5d506801ab9dbeab8b98c141a3463a8

Observation c077285d-c8dc-4b80-8652-f669246487d3 · outbound

This paper cites an unresolved cited work.

A Unified Foundation Model for All-in-One Multi-Modal Remote Sensing Image Restoration and Fusion with Language Prompting Unresolved cited work

Reference 84

Resolution
unresolved
raw_fallback, observed 2026-05-16T18:23:15.461729Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T18:33:11.929389Z digest=sha256:19293399f7904f8c7cc2bc50690cc923b28b8db17401c49b0fe05e0ddf3e8a39

Observation abc53f6e-6bbc-4d50-b088-7a113d010a3f · outbound

This paper cites an unresolved cited work.

A Unified Foundation Model for All-in-One Multi-Modal Remote Sensing Image Restoration and Fusion with Language Prompting Unresolved cited work

Reference 85

Resolution
unresolved
raw_fallback, observed 2026-05-16T18:23:15.641125Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T18:33:11.929389Z digest=sha256:2b3fa68df58bbb5c139025d9e45c3c3016ea5b4ceb6de507adf984b77534e31d

Observation 1b3d3a15-e660-4e87-a721-e21a0231c418 · outbound

This paper cites an unresolved cited work.

A Unified Foundation Model for All-in-One Multi-Modal Remote Sensing Image Restoration and Fusion with Language Prompting Unresolved cited work

Reference 86

Resolution
unresolved
raw_fallback, observed 2026-05-16T18:23:15.643553Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T18:33:11.929389Z digest=sha256:aa13e6a5d3040193955965e1f2cf76da61d304ef53a2380a80297c609337ca0d

Observation d5a5dd4a-ac06-4cbb-bf78-37f1006cd2b8 · outbound

This paper cites an unresolved cited work.

A Unified Foundation Model for All-in-One Multi-Modal Remote Sensing Image Restoration and Fusion with Language Prompting Unresolved cited work

Reference 87

Resolution
unresolved
raw_fallback, observed 2026-05-16T18:23:15.591496Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T18:33:11.929389Z digest=sha256:792772cdf01e71305cdcb9124ffed04f0b6f2312ecc504dd4b93565026851cd2

Observation 550ae860-0308-4083-a7eb-07f182686869 · outbound

This paper cites DN (SAR).

A Unified Foundation Model for All-in-One Multi-Modal Remote Sensing Image Restoration and Fusion with Language Prompting DN (SAR)

Reference 88

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T18:23:15.336638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T18:33:11.929389Z digest=sha256:dfe3c2207220980ff75b0309422165229a9511822a5998aa97cdca6408bf1922

Observation 2ad8854b-52b9-4745-a1ef-5faef58cf599 · outbound

This paper cites an unresolved cited work.

A Unified Foundation Model for All-in-One Multi-Modal Remote Sensing Image Restoration and Fusion with Language Prompting Unresolved cited work

Reference 92

Resolution
unresolved
raw_fallback, observed 2026-05-16T18:23:15.527660Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T18:33:11.929389Z digest=sha256:9b5c1c15af5425f50d99158cb53cffdf6c99757f6182bfe2c9be745620a9010c

Observation dc1b33f9-65fc-4b10-a8c4-cc2acc5fe5fd · outbound

This paper cites an unresolved cited work.

A Unified Foundation Model for All-in-One Multi-Modal Remote Sensing Image Restoration and Fusion with Language Prompting Unresolved cited work

Reference 93

Resolution
unresolved
raw_fallback, observed 2026-05-16T18:23:15.664428Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T18:33:11.929389Z digest=sha256:17d96f89456c0205eda1f38265df85056831f3be0df62577696761c2c13ad49a

Observation bc9831f7-e335-4152-9f3b-494ac6a362d2 · outbound

This paper cites an unresolved cited work.

A Unified Foundation Model for All-in-One Multi-Modal Remote Sensing Image Restoration and Fusion with Language Prompting Unresolved cited work

Reference 94

Resolution
unresolved
raw_fallback, observed 2026-05-16T18:23:15.386460Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T18:33:11.929389Z digest=sha256:29d7e06bb349eba0cb25deb56b3cba6bc71f4f9a9c0e84c0b1b4bbf137410b34

Observation 13b7a5b9-5bb4-477d-8ffe-71c3d57291d3 · outbound

This paper cites an unresolved cited work.

A Unified Foundation Model for All-in-One Multi-Modal Remote Sensing Image Restoration and Fusion with Language Prompting Unresolved cited work

Reference 95

Resolution
unresolved
raw_fallback, observed 2026-05-16T18:23:15.601921Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T18:33:11.929389Z digest=sha256:b4ca207f7e2675b5c0d90815264e3ee9c6d456336e3b56289f66d567242b4267

Observation 274542e8-57d8-4362-8d3a-e9317eab53da · outbound

This paper cites an unresolved cited work.

A Unified Foundation Model for All-in-One Multi-Modal Remote Sensing Image Restoration and Fusion with Language Prompting Unresolved cited work

Reference 96

Resolution
unresolved
raw_fallback, observed 2026-05-16T18:23:15.407046Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T18:33:11.929389Z digest=sha256:71f03ee6b5a4c2953e7a68e4f52f8b769b87cb0c383dc52698002827292aed38

Observation ad5aad74-3fd7-4eb8-af1a-c16f2b2c5be4 · outbound

This paper cites an unresolved cited work.

A Unified Foundation Model for All-in-One Multi-Modal Remote Sensing Image Restoration and Fusion with Language Prompting Unresolved cited work

Reference 97

Resolution
unresolved
raw_fallback, observed 2026-05-16T18:23:15.494923Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T18:33:11.929389Z digest=sha256:6bb802485469ef7f67b66a3099e922f4742437b56409e965cad3401d94ec3976

Observation efad2e14-46c3-4b2b-a355-fbf1b9e31d3b · outbound

This paper cites an unresolved cited work.

A Unified Foundation Model for All-in-One Multi-Modal Remote Sensing Image Restoration and Fusion with Language Prompting Unresolved cited work

Reference 98

Resolution
unresolved
raw_fallback, observed 2026-05-16T18:23:15.705626Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T18:33:11.929389Z digest=sha256:12ba7bc58c1c69fd8b4fc548705a534d0d346886b386b5820af637198f374aa8

Observation 1d7b4cb7-6b71-4054-878c-6754db9e49b7 · outbound

This paper cites an unresolved cited work.

A Unified Foundation Model for All-in-One Multi-Modal Remote Sensing Image Restoration and Fusion with Language Prompting Unresolved cited work

Reference 99

Resolution
unresolved
raw_fallback, observed 2026-05-16T18:23:15.604274Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T18:33:11.929389Z digest=sha256:3f1ce11d7086bb1cb7bea4b8962bfc24acc44128c7f35cf5d23de7f417ce372e

Observation 599c10be-533c-4f1e-a515-790d2c5f53af · outbound

This paper cites an unresolved cited work.

A Unified Foundation Model for All-in-One Multi-Modal Remote Sensing Image Restoration and Fusion with Language Prompting Unresolved cited work

Reference 100

Resolution
unresolved
raw_fallback, observed 2026-05-16T18:23:15.609923Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T18:33:11.929389Z digest=sha256:5a60d4d4b155517d98a84769dca55a81df67e810643a27e6f34cb80ca85846c7

Observation aa685fb7-ac9d-4dde-bcea-6296bfd9eeaf · outbound

This paper cites an unresolved cited work.

A Unified Foundation Model for All-in-One Multi-Modal Remote Sensing Image Restoration and Fusion with Language Prompting Unresolved cited work

Reference 101

Resolution
unresolved
raw_fallback, observed 2026-05-16T18:23:15.690469Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T18:33:11.929389Z digest=sha256:c5045ff38d464be2acfed2c45eaafd821d93c5a8d1b0b681a42d5a7e6ce33616

Observation 627e09b4-d398-472a-b64e-a6ef8f2b4145 · outbound

This paper cites an unresolved cited work.

A Unified Foundation Model for All-in-One Multi-Modal Remote Sensing Image Restoration and Fusion with Language Prompting Unresolved cited work

Reference 102

Resolution
unresolved
raw_fallback, observed 2026-05-16T18:23:15.531138Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T18:33:11.929389Z digest=sha256:38a42152cbbd9ee7674e01e13555b93abc9037162ab121618ca34f59e70c2979

Observation c46ef036-713e-4cb9-b6c2-d79b4765e8f7 · outbound

This paper cites an unresolved cited work.

A Unified Foundation Model for All-in-One Multi-Modal Remote Sensing Image Restoration and Fusion with Language Prompting Unresolved cited work

Reference 103

Resolution
unresolved
raw_fallback, observed 2026-05-16T18:23:15.440929Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T18:33:11.929389Z digest=sha256:666c086f40602809456775d596d1ae43fb13181bd8f73b22ead5e91d8dde883b

Pith citing papers

Observation b1a19473-2f26-496e-bd84-9c710dfadaf8 · inbound

CoRE-UIR: Prior-guided common and residual experts for efficient all-in-one remote sensing image restoration cites this paper.

CoRE-UIR: Prior-guided common and residual experts for efficient all-in-one remote sensing image restoration A Unified Foundation Model for All-in-One Multi-Modal Remote Sensing Image Restoration and Fusion with Language Prompting

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source=arxiv_source observed=2026-07-31T23:28:11.195717Z digest=sha256:3fc8a93a61d86ccd8365a8a88e1e3364fd640570f4d849b746bd9e3de7c45cca