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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 15 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 2026-08-14T06:32:32.682623+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

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  • 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 2026-08-14T06:32:32.682623+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

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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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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 2026-08-14T06:32:32.682623+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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+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
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Source-reported events for the cited work

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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 2026-08-14T06:32:32.682623+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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+00:00.

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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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+00:00.

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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 2026-08-14T06:32:32.682623+00:00.

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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
raw_fallback, observed 2026-05-16T18:23:15.342079Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T18:33:11.929389Z digest=sha256:85bed38bffa16bda0553af7af6610846fce70c6e8e587762362c90e44d677eff

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T18:33:11.929389Z digest=sha256:9e43d86b564dcc6251c9e9afd827b1e6d6ebb6725d9737952160072a73f07b2a

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T18:33:11.929389Z digest=sha256:9b3b6d00aaf94fefcf54e8657f318877c20a35885cb46a953cc5d677da812e0e

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T18:33:11.929389Z digest=sha256:3601b2e96afdb60d1daa020c21133c350592c77cc06789a6b10fa529f0a9f5be

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T18:33:11.929389Z digest=sha256:682d310950423cd8249a0ae61cf0d851d37375da04ba3367ff9adc4243cb742e

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

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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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T18:33:11.929389Z digest=sha256:5b900b4e3019d1c93e4ba74148b642d8eb3c8488e3f80a92664c2c9cf55b84c1

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T18:33:11.929389Z digest=sha256:c6dc872231fd510b3863ea727faa1624954072412155e7fa85caa3e2258be88c

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T18:33:11.929389Z digest=sha256:78e0e5e6256b719ae46a35f59a2ed888451d596414674fa8acd2b29ccad3839e

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T18:33:11.929389Z digest=sha256:da9d10a2c10a94daec5629fd822713e3db1d63c2560a3fd60592ac600bc6923d

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T18:33:11.929389Z digest=sha256:6388e1be05d03fe0257a4213f339bba1ceb44f89a2c3648100716eaf2c05c691

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T18:33:11.929389Z digest=sha256:ed15e8b2f6282859673e525ea37804b6e3dce576e9ef80b87f1a16d96a6c8324

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T18:33:11.929389Z digest=sha256:2fa523b5a203292dc24cdcc8187be768511437c470f4f93b0e2771cbb9f98b3f

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T18:33:11.929389Z digest=sha256:eeb95a07338fdd08c6fb45cd47aea8e23c8cfa4bfacd88a32d4762846fea3671

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T18:33:11.929389Z digest=sha256:586c1a001e00883bd60a496e66eae4b690251563ac19dabf66c09a0a2e0d4717

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T18:33:11.929389Z digest=sha256:551a72f7b29c5fc28988447f95c5c0da4c8557f4baf90d8d1319dcae2d3bded7

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T18:33:11.929389Z digest=sha256:d3e4f35eb8fbe8c4f9185ef4e42dbd20b25e9f1680354cba23a119b12bcfc52e

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T18:33:11.929389Z digest=sha256:14289dd5d00eb52259f0f7f91b700b51677ee88cd23c275ad8264bccb511fcc2

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T18:33:11.929389Z digest=sha256:075a005d2c6ca702c44174d4eedc16fb8f2eb4011fc95af151ed931cc8905a28

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T18:33:11.929389Z digest=sha256:9251afeb14145a0e79821cb40ae7af069d5f9a68512f72b501308a5fb0917f90

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T18:33:11.929389Z digest=sha256:5895d835ce4bca2b8b8ab2b754f20ecdb361ffc7b676aeba790b356f781f80b3

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T18:33:11.929389Z digest=sha256:69a79cccf80bb2f06587a86f91f3b8ea89ce99f6a37da2a8813c29e8709ce551

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T18:33:11.929389Z digest=sha256:4d6fa9aeee933aecf657026adf0491ed7e3574a85dd713619160f1465ba1ddef

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T18:33:11.929389Z digest=sha256:0b007024760667249b023ee404c16e98724ffcf740912e3a2ffedc946a6d26f0

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T18:33:11.929389Z digest=sha256:54525a4c884bc52550597aa1732da75d286c550e6b2a122229c886866f6a68f7

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T18:33:11.929389Z digest=sha256:cf9ae40d4d2a4d4fb2009fa516a607d3f2291a328f8b5d3a8d6bcc2a0fad5b82

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

Reference 53

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T18:33:11.929389Z digest=sha256:ce517d56fba0cb502ca01234993326130a541432f93656fec37419e323711bbf

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T18:33:11.929389Z digest=sha256:375f82990a3903fc4dc54ea63798449abfc1b316a1e962db39089afe7a89a24b

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T18:33:11.929389Z digest=sha256:c12df6e5e4b5960ede9f137be60dd347629362f824c4ea2652a42128808ea91d

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T18:33:11.929389Z digest=sha256:4e9a0b008b8fa15c3c7308df6b1c8b5e694fc9a73668fd6caaadb2a67cd418bf

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T18:33:11.929389Z digest=sha256:162612f97c0d746d7c907348f8683a157585a9e6e7c8805f191d73fb1eaf1932

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T18:33:11.929389Z digest=sha256:a3b819b5b70201d56d90ddf4c7b02da508db4cf423d69d6e160b43fdb6e67cb2

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T18:33:11.929389Z digest=sha256:9a7caeb8b375338cd61cf829ec615a6233c2deca4be0432e9f99e3c46331a611

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

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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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T18:33:11.929389Z digest=sha256:b2efeb2365696414c1c6edfca3f47bf335c85a8a90be26f38d4d60057c231fb5

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

Reference 61

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T18:33:11.929389Z digest=sha256:aa4428c100928fefdd14bd76b8f235f310ee6cb4c439bfcd9e29ce70e16ab910

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

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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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T18:33:11.929389Z digest=sha256:997bc34e181a14e4afeb855713b3ebc7a2176f8abf3814ce22059bcb3c9c0d68

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

Reference 63

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T18:33:11.929389Z digest=sha256:249de25caa7fbfa7c86f7e953fb86828479b8d54aa16bba2ad9c6a3439a0c236

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T18:33:11.929389Z digest=sha256:0b26c34aad7b3b9416f03812ecfb02a017b1c2daafec6f548ba4a9fee55202ba

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T18:33:11.929389Z digest=sha256:ce65eb26b862c8a55918368531aab9656c1d73a65edf88e700b67acc04b32886

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T18:33:11.929389Z digest=sha256:40b82b9a26d43ae02e0cddf5a977044f46c57d1bedd55e14f920db2502df7be4

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T18:33:11.929389Z digest=sha256:fe0d9405aa315643f7a716767d733b6039d1fc127c1dc13715f26b9ac0d2c3eb

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T18:33:11.929389Z digest=sha256:d37497c82263c00b027f8eb433451b483d43c90180ed80df01a413072cf6f1da

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T18:33:11.929389Z digest=sha256:aba2d8478c651851e79c5df4686620730770cb4ea79287713e2a3a7779f2ffdc

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T18:33:11.929389Z digest=sha256:125260c72ddb76ae244ef572e5c35e040c43330aa717df98b5dc47df2fbbf7f1

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T18:33:11.929389Z digest=sha256:b1cab91995c4339d53674f90ca060098e1e8e7cc357035cce5c07f7dade7b401

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T18:33:11.929389Z digest=sha256:f820fd8cf51c26abd01f26f777952105bedd3e0b39cb33844728d0930f00c80f

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T18:33:11.929389Z digest=sha256:7f0a90e079cf2f6724f8ed9b1ebebd44aff7c6d6e335961f939a3c0cfac8e8c3

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T18:33:11.929389Z digest=sha256:5b989e4d4b732428889e5b8dbcb0656678b72e83567b8b5ec3498abe060ba8cc

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T18:33:11.929389Z digest=sha256:b6c1e533d7640a192d557cb43fdcf330ebcd86a73fbe2d759d814601881d0a75

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T18:33:11.929389Z digest=sha256:3c759cc63d111f44b1ad8aeee8efe708f0294039b5f410bd157edefdd883fa3c

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T18:33:11.929389Z digest=sha256:47346e0297590e798aedf34b11f9fcbaaeac67b3726048e7aef9b5714bef2cca

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T18:33:11.929389Z digest=sha256:06d77568aaa6452a3b23f25f5466a170bd58c91f42a5f9825947230de9b39be1

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T18:33:11.929389Z digest=sha256:f708086347458d943b21a32bb7ea7a76b26d6de8e17d8c338e2f41cb3160724a

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T18:33:11.929389Z digest=sha256:fd1b86becb3b2026cea07a49bd29c6b1d333f8a8b19ebc943da3ab0d29f4ff2b

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T18:33:11.929389Z digest=sha256:9e3a30d89dbb9e260d4fceccbb6c2382f5eaadc95794d0b6686645fa013e5959

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T18:33:11.929389Z digest=sha256:74d2aebca7f624b3bf72ac9423f78c2d87596408d770f34df319828896ac1b88

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T18:33:11.929389Z digest=sha256:024a98abb01c2088c0feb1cfb372718af9581855ee40ff0be3a5b28edf1abae7

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T18:33:11.929389Z digest=sha256:928b64c64aa7d92ba55faac7ac58a5b469355cf9e0c35796eb9ecdfe2c8fbc1e

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T18:33:11.929389Z digest=sha256:56299297cd2bf1f03c6899ae920d9d1c245b8a3cdc2a213854438ced148af6dc

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T18:33:11.929389Z digest=sha256:f8f2e5e682c8f98717da1e631a4ac817c319dddb8879b615d9771ac983c25301

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T18:33:11.929389Z digest=sha256:fe401a6b2f7925f520fbabd4e82b4190538e765a4ff18c7a13e2e57cbbf35747

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T18:33:11.929389Z digest=sha256:b4a1dfc08d538f0afb4e0fc80593b0594b9f1d6e352996af73296ff12b6b83b5

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T18:33:11.929389Z digest=sha256:1d0385c2311dbc436903facf2d8fa68f2dfa3859a2d6f7d369946b5d6c9d073c

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T18:33:11.929389Z digest=sha256:a7e0226c5960358fed959eccaa77b8f332a715c2bd26001d2951c4c6c9eba148

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T18:33:11.929389Z digest=sha256:2a789dde9b8dc5f50c67ca8d75b749d2fbf26ca0e4098a07daf0a84df080c777

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T18:33:11.929389Z digest=sha256:4cbaed253acd782dc3fd16f9a3020a0bf5377679bf89da39c5c3c0da863fd7dd

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T18:33:11.929389Z digest=sha256:9264164087fa9c7e305a9594b36fac5c09f638d9ee36712e2997f5c0e6cbec0d

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T18:33:11.929389Z digest=sha256:3c45e0c4d0955a827fbfd83efc0a760ec79922b4692cc7d1c53d0d331a0f0e65

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T18:33:11.929389Z digest=sha256:522f9bf28836a1aec990b8e51a2b63283a5fdb43fa67283c21ec779d43fc6c8b

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T18:33:11.929389Z digest=sha256:8543f6fc57c85a797bba35503d242a00709bb14128d47c8d9a1d11fe7ef38b64

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T18:33:11.929389Z digest=sha256:e6ddc13637450d15c7af2d7b86d22aaa17e9b05cdd273cd9acc6b5a66cf4f0c5

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T18:33:11.929389Z digest=sha256:2c300179d4b7f84f476a12c1a61d7a3ce2d95b6e549410060c245b9f9fcb524d

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T18:33:11.929389Z digest=sha256:755e3de7a554f7da52ea05ff9ad7d177b881b0368efabc1707c94ad794b3f051

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T18:33:11.929389Z digest=sha256:b3ce3e2bbb27b723ba1c80f432b2f6fb9ebd2d789a290c630b60c48dae2e4f7b

Pith citing papers

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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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