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Paper Citation Record · LEDGER

DC4CR: When Cloud Removal Meets Diffusion Control in Remote Sensing

As of 20 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 5 inbound Pith citation observations for arXiv:2504.14785.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2504.14785 v2

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:45:24.811894Z

measured 44 of 44 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:32:59.091920Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T12:53:06.613196Z

Reference resolution

39 of 39 outbound references displayed

  • verified exact1
  • verified fuzzy25
  • unresolved13
  • parse uncertain0
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 95641c18-63cb-4734-8f40-32e46250f217 · outbound

This paper cites write newline.

DC4CR: When Cloud Removal Meets Diffusion Control in Remote Sensing write newline

Reference 1

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no resolver link, observed 2026-08-16T11:45:24.677969Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:45:24.677969Z digest=sha256:a4b52fe3253813f551c5aa82f24c9ab86480f0282fa40c4187e495865b9af862

Observation c409c213-dad1-4ef1-a00a-80254ce38d2b · outbound

This paper cites Blind cloud and cloud shadow removal of multitemporal images based on total variation regularized low-rank sparsity decomposition.

DC4CR: When Cloud Removal Meets Diffusion Control in Remote Sensing Blind cloud and cloud shadow removal of multitemporal images based on total variation regularized low-rank sparsity decomposition

Reference 2

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-16T11:45:24.682953Z digest=sha256:c305ab4dd46f140be1b1b900e853aa9c7b665d9f45a8fec623584bba8d7792d4

Observation 1b1f7f95-ee2e-42e5-9213-64d9c28a481c · outbound

This paper cites Uncertainty-based thin cloud removal network via conditional variational autoencoders.

DC4CR: When Cloud Removal Meets Diffusion Control in Remote Sensing Uncertainty-based thin cloud removal network via conditional variational autoencoders

Reference 3

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verified fuzzy
raw_fallback, observed 2026-08-16T11:45:25.244644Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation d1950036-3f4f-4529-9b2d-64c29312d5b5 · outbound

This paper cites Sen12ms-cr-ts: A remote-sensing data set for multimodal multitemporal cloud removal.

DC4CR: When Cloud Removal Meets Diffusion Control in Remote Sensing Sen12ms-cr-ts: A remote-sensing data set for multimodal multitemporal cloud removal

Reference 4

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verified fuzzy
raw_fallback, observed 2026-08-16T11:45:25.232356Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-16T11:45:24.690121Z digest=sha256:d3995b8e3b051d1bb5fcdae1ea3f520b2dac2cd7bedfd83d9601552bfe7e670f

Observation ff97d3e0-0820-4ebe-b194-a3bad46239bb · outbound

This paper cites Texture synthesis using convolutional neural networks.

DC4CR: When Cloud Removal Meets Diffusion Control in Remote Sensing Texture synthesis using convolutional neural networks

Reference 5

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verified fuzzy
raw_fallback, observed 2026-08-16T11:45:25.219424Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-16T11:45:24.694285Z digest=sha256:8fdf5717c655cb566734505059efde09f695f90b095cb0445557f2042b24ec5f

Observation 5a6c4864-48a1-438e-ba4e-6c86b9da39d3 · outbound

This paper cites Denoising diffusion probabilistic models.

DC4CR: When Cloud Removal Meets Diffusion Control in Remote Sensing Denoising diffusion probabilistic models

Reference 6

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unresolved
no resolver link, observed 2026-08-16T11:45:24.697954Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:45:24.697954Z digest=sha256:3420d18e11489c88326f8aa4e6801ed523ca36f4aee6145d04cbfe4fb097df79

Observation 6a1bcf15-fcfa-462c-bd89-c1495a7f865a · outbound

This paper cites Video diffusion models.

DC4CR: When Cloud Removal Meets Diffusion Control in Remote Sensing Video diffusion models

Reference 7

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unresolved
no resolver link, observed 2026-08-16T11:45:24.701933Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:45:24.701933Z digest=sha256:00afb3546c4ff269c9a89a8caf843b4e5567f3e63746871d247d94ff2dc971d9

Observation aa2a4542-efd7-452c-8ebf-1bc539f332ac · outbound

This paper cites Image quality metrics: Psnr vs.

DC4CR: When Cloud Removal Meets Diffusion Control in Remote Sensing Image quality metrics: Psnr vs

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:45:25.192979Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-16T11:45:24.705756Z digest=sha256:4280c44759ba9b7ff1720180641010f86f8cf520990bcc082bd9b8ac435a2f84

Observation a25f8340-ff31-41b7-aaa9-3e23f9832f3b · outbound

This paper cites Thin cloud removal from remote sensing images using multidirectional dual tree complex wavelet transform and transfer least square support vector regression.

DC4CR: When Cloud Removal Meets Diffusion Control in Remote Sensing Thin cloud removal from remote sensing images using multidirectional dual tree complex wavelet transform and transfer least square support vector regression

Reference 9

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verified fuzzy
raw_fallback, observed 2026-08-16T11:45:25.180677Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-16T11:45:24.709187Z digest=sha256:185913fed6989ae44d7e7450299441d17c3125c1ee6669507d9a8e53ee41de86

Observation 705b19ca-2c5e-4fd6-b598-8a6ec70bf85c · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

DC4CR: When Cloud Removal Meets Diffusion Control in Remote Sensing LoRA: Low-Rank Adaptation of Large Language Models

Reference 10

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unresolved
no resolver link, observed 2026-08-16T11:45:24.712682Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:45:24.712682Z digest=sha256:95c173b10167307af164c2bd6b64da39a03572af74f3cede4c5bd47515f90b94

Observation 372c85d5-602a-4cb2-be37-8bed96eefe41 · outbound

This paper cites The next landsat satellite: The landsat data continuity mission.

DC4CR: When Cloud Removal Meets Diffusion Control in Remote Sensing The next landsat satellite: The landsat data continuity mission

Reference 11

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verified fuzzy
raw_fallback, observed 2026-08-16T11:45:25.168163Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-16T11:45:24.716482Z digest=sha256:69e3ddf3f085b270692f504b706bc9b9dc85ab9c7e2f7a83dfe9304cfc20fddf

Observation 303b7c2a-9cc7-48cb-ab50-acce9956d69c · outbound

This paper cites Simultaneous cloud detection and removal from bitemporal remote sensing images using cascade convolutional neural networks.

DC4CR: When Cloud Removal Meets Diffusion Control in Remote Sensing Simultaneous cloud detection and removal from bitemporal remote sensing images using cascade convolutional neural networks

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:45:25.150426Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-16T11:45:24.720186Z digest=sha256:9335f2e808a431dbf16239044dd2f98b7dabee21e6eb52145674b9af9bd84c35

Observation 1ea6eb08-c050-4134-811b-8941eeddb5ba · outbound

This paper cites Imagic: Text-based real image editing with diffusion models.

DC4CR: When Cloud Removal Meets Diffusion Control in Remote Sensing Imagic: Text-based real image editing with diffusion models

Reference 13

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unresolved
no resolver link, observed 2026-08-16T11:45:24.723884Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:45:24.723884Z digest=sha256:248c475fc9202b67b6c4734d2a557c03c7cbd0bb4ebc7fd0ac0508877265868a

Observation 57ab0fa0-f606-41c6-9550-31c29189fa69 · outbound

This paper cites Recovering quantitative remote sensing products contaminated by thick clouds and shadows using multitemporal dictionary learning.

DC4CR: When Cloud Removal Meets Diffusion Control in Remote Sensing Recovering quantitative remote sensing products contaminated by thick clouds and shadows using multitemporal dictionary learning

Reference 14

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verified fuzzy
raw_fallback, observed 2026-08-16T11:45:25.125413Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-16T11:45:24.727368Z digest=sha256:dea954102f2b44d66663b9b45822ffbd30911dbb8c191789481392c9cf989150

Observation ead8db72-c005-49b2-b067-b485be424fa4 · outbound

This paper cites A Remote Sensing Image Dataset for Cloud Removal.

DC4CR: When Cloud Removal Meets Diffusion Control in Remote Sensing A Remote Sensing Image Dataset for Cloud Removal

Reference 15

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unresolved
no resolver link, observed 2026-08-16T11:45:24.730552Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:45:24.730552Z digest=sha256:5bade749b75898c3095c28b813ff5e66739c5ca0edc9fdb29f1fe537b5f7e04b

Observation 5e75d2c7-d24d-44ef-a9fa-f2afc185c29a · outbound

This paper cites Cloud Removal for Remote Sensing Imagery via Spatial Attention Generative Adversarial Network.

DC4CR: When Cloud Removal Meets Diffusion Control in Remote Sensing Cloud Removal for Remote Sensing Imagery via Spatial Attention Generative Adversarial Network

Reference 16

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unresolved
no resolver link, observed 2026-08-16T11:45:24.734154Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:45:24.734154Z digest=sha256:9a73dff70f075724d13265865190da233d4c541a1d0a716c90ca425df62a9de6

Observation d0c9ffed-fe0f-43f4-ad20-df9de1d87828 · outbound

This paper cites High-resolution image synthesis with latent diffusion models.

DC4CR: When Cloud Removal Meets Diffusion Control in Remote Sensing High-resolution image synthesis with latent diffusion models

Reference 17

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unresolved
no resolver link, observed 2026-08-16T11:45:24.737844Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:45:24.737844Z digest=sha256:cf8124085b957c254dcad87bcded12c70227cf03a67d0518ef14373da0c3c7fa

Observation 8c471e42-f5bf-4aed-ad7b-75d9e24e037d · outbound

This paper cites Dreambooth: Fine tuning text-to-image diffusion models for subject-driven generation.

DC4CR: When Cloud Removal Meets Diffusion Control in Remote Sensing Dreambooth: Fine tuning text-to-image diffusion models for subject-driven generation

Reference 18

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unresolved
no resolver link, observed 2026-08-16T11:45:24.740987Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:45:24.740987Z digest=sha256:983f7ae35c0a81ae59585c8b069b3acde0f3d3dffbdb73693eca763f8c1edb82

Observation 6202d08b-3121-4884-8ccc-8db63cb7cda7 · outbound

This paper cites Photorealistic text-to-image diffusion models with deep language understanding.

DC4CR: When Cloud Removal Meets Diffusion Control in Remote Sensing Photorealistic text-to-image diffusion models with deep language understanding

Reference 19

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unresolved
no resolver link, observed 2026-08-16T11:45:24.744601Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:45:24.744601Z digest=sha256:be79cc05492c3545f968dda2485860a0f09c9bd79ecbc0d10da462daf2f75696

Observation eaf3d0bb-9130-4e2c-9357-93bc62750d5f · outbound

This paper cites Freeu: Free lunch in diffusion u-net.

DC4CR: When Cloud Removal Meets Diffusion Control in Remote Sensing Freeu: Free lunch in diffusion u-net

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:45:25.084498Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-16T11:45:24.748144Z digest=sha256:f35707a4ef7dc7fcc5013fe98d48fa19ff6a96e9350dd65defb2e63a70e10162

Observation a324faf4-2a37-4db3-98f0-3707a7112317 · outbound

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

DC4CR: When Cloud Removal Meets Diffusion Control in Remote Sensing Diffusion enhancement for cloud removal in ultra-resolution remote sensing imagery

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:45:25.073307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-16T11:45:24.751523Z digest=sha256:2eaf1a95cc2f98df84150e07e4337f2d8fcc3219986d9fe86a4025ffe0b744a9

Observation 23e94ca4-1b00-461c-88da-68256f8404d7 · outbound

This paper cites Spatiotemporal analysis of xco2 and its relationship to urban and green areas of china’s major southern cities from remote sensing and wrf-chem modeling data from 2010 to 2019.

DC4CR: When Cloud Removal Meets Diffusion Control in Remote Sensing Spatiotemporal analysis of xco2 and its relationship to urban and green areas of china’s major southern cities from remote sensing and wrf-chem modeling data from 2010 to 2019

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:45:25.060908Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-16T11:45:24.754882Z digest=sha256:3d53e41fbbdf7a0cc29d4df5e9d162f9fdf643cac73124a248c6f283073a9db7

Observation 8e1efac5-cf07-485d-8872-8f3b8a1fef92 · outbound

This paper cites Idf-cr: Iterative diffusion process for divide-and-conquer cloud removal in remote-sensing images.

DC4CR: When Cloud Removal Meets Diffusion Control in Remote Sensing Idf-cr: Iterative diffusion process for divide-and-conquer cloud removal in remote-sensing images

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:45:25.049554Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-16T11:45:24.758354Z digest=sha256:d709ae333e84381ff2d4c0389c81dc262131a034bd8c7f5eb12329dcc3b7a73c

Observation e920263a-3fef-44c7-b471-b81ce810960d · outbound

This paper cites Multi-batch nuclear-norm adversarial network for unsupervised domain adaptation.

DC4CR: When Cloud Removal Meets Diffusion Control in Remote Sensing Multi-batch nuclear-norm adversarial network for unsupervised domain adaptation

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:45:25.038044Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-16T11:45:24.761601Z digest=sha256:3f0ecd0c0670a17291dc50a68715aaedfcb265bb45fca9a051c85d5d82261735

Observation 336c05ce-fb6b-4e49-90ff-51ada5678b66 · outbound

This paper cites Thin cloud removal from optical remote sensing images using the noise-adjusted principal components transform.

DC4CR: When Cloud Removal Meets Diffusion Control in Remote Sensing Thin cloud removal from optical remote sensing images using the noise-adjusted principal components transform

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:45:25.026541Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-16T11:45:24.765049Z digest=sha256:fdf9e8345c7b63b2021d4eb5cd9d0ce934dee67907e9edf11e614c983fead7b5

Observation af65841f-55d2-4388-a3ad-ee15948c1a55 · outbound

This paper cites Attention mechanism-based generative adversarial networks for cloud removal in landsat images.

DC4CR: When Cloud Removal Meets Diffusion Control in Remote Sensing Attention mechanism-based generative adversarial networks for cloud removal in landsat images

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:45:25.014068Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-16T11:45:24.768369Z digest=sha256:5413eed4b9e9d4eaed51f5403260cea7b82fbcb4ec4fd34d8de978df4799ece6

Observation 34141bb6-a583-4674-9058-9eef37c54319 · outbound

This paper cites Computer generated colorized image forgery detection using vlad encoding and svm.

DC4CR: When Cloud Removal Meets Diffusion Control in Remote Sensing Computer generated colorized image forgery detection using vlad encoding and svm

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:45:25.000511Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-16T11:45:24.771760Z digest=sha256:573d72091baba100d0d1c7b47840d4afd0dd791f8687798e8e16dca5e2f1a157

Observation c635bd58-1121-4713-8809-91fc51d1f357 · outbound

This paper cites Pixel-aware stable diffusion for realistic image super-resolution and personalized stylization.

DC4CR: When Cloud Removal Meets Diffusion Control in Remote Sensing Pixel-aware stable diffusion for realistic image super-resolution and personalized stylization

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:45:24.990513Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-16T11:45:24.774864Z digest=sha256:95043eb28d4634ce821d3e1d5fc06aa7a77672d8ddbca886308bcb5cee8d46a3

Observation c4c12a4f-986f-4d21-9914-39d770d70a8a · outbound

This paper cites Yuan: Yielding Unblemished Aesthetics Through A Unified Network for Visual Imperfections Removal in Generated Images.

DC4CR: When Cloud Removal Meets Diffusion Control in Remote Sensing Yuan: Yielding Unblemished Aesthetics Through A Unified Network for Visual Imperfections Removal in Generated Images

Reference 29

Resolution
verified exact
local_arxiv, observed 2026-08-16T11:45:24.859842Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-16T11:45:24.778298Z digest=sha256:df7354ed858b8950e32556d40d93eaba9e82b107f86a8726e3dc79cf676263d1

Observation f616ba45-3971-40a3-9b14-fa3af65cfe80 · outbound

This paper cites Capan: Class-aware prototypical adversarial networks for unsupervised domain adaptation.

DC4CR: When Cloud Removal Meets Diffusion Control in Remote Sensing Capan: Class-aware prototypical adversarial networks for unsupervised domain adaptation

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:45:24.979515Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-16T11:45:24.782069Z digest=sha256:ae25e2664a9de67ef76d29ac5e5c11e4ef427d344420120bde60b1adb64ecb2f

Observation 1d512d22-61db-4714-9ece-66cccd4540dd · outbound

This paper cites Cloud removal in optical remote sensing imagery using multiscale distortion-aware networks.

DC4CR: When Cloud Removal Meets Diffusion Control in Remote Sensing Cloud removal in optical remote sensing imagery using multiscale distortion-aware networks

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:45:24.967659Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-16T11:45:24.785310Z digest=sha256:f764a6fda1ea2ef3aefbb369116e0690827d58b0e61ff12bda259e62bc10e88a

Observation 60e5f9d5-4bc5-4057-8617-d95e10b0beac · outbound

This paper cites Impact of climate change on sars-cov-2 epidemic in china.

DC4CR: When Cloud Removal Meets Diffusion Control in Remote Sensing Impact of climate change on sars-cov-2 epidemic in china

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:45:24.956159Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-16T11:45:24.788558Z digest=sha256:7005d2fb7d1dfe182be2e734b59de737f69e058f03c0897b5b3f2c83a08f1248

Observation 9c5847c2-0813-4272-8134-401fb9c35893 · outbound

This paper cites A guideline of u-net-based framework for precipitation estimates.

DC4CR: When Cloud Removal Meets Diffusion Control in Remote Sensing A guideline of u-net-based framework for precipitation estimates

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:45:24.944996Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-16T11:45:24.791725Z digest=sha256:39e6638476aa0a121ccd3ee5773909b21a8b04540137f8e11c20406959567aa8

Observation 498b2ffe-53ae-49f1-9189-fa60d0b34455 · outbound

This paper cites Qrs-trs: Style transfer-based image-to-image translation for carbon stock estimation in quantitative remote sensing.

DC4CR: When Cloud Removal Meets Diffusion Control in Remote Sensing Qrs-trs: Style transfer-based image-to-image translation for carbon stock estimation in quantitative remote sensing

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:45:24.934097Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 88209aa0-2360-4c04-82c5-2ccc6439e750 · outbound

This paper cites Ai for science: A comprehensive review on innovations, challenges, and future directions.

DC4CR: When Cloud Removal Meets Diffusion Control in Remote Sensing Ai for science: A comprehensive review on innovations, challenges, and future directions

Reference 35

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation e3ef3a74-a04d-47c6-a4b7-9a6bbabef3b6 · outbound

This paper cites The unreasonable effectiveness of deep features as a perceptual metric.

DC4CR: When Cloud Removal Meets Diffusion Control in Remote Sensing The unreasonable effectiveness of deep features as a perceptual metric

Reference 36

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Observation 19510739-b629-4efe-af98-506e4e474445 · outbound

This paper cites Adding conditional control to text-to-image diffusion models.

DC4CR: When Cloud Removal Meets Diffusion Control in Remote Sensing Adding conditional control to text-to-image diffusion models

Reference 37

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unresolved
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Unavailable: canonical work link unavailable.

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Observation dc219f14-b09a-4d73-91a3-496c1d80b03f · outbound

This paper cites Memory augment is All You Need for image restoration.

DC4CR: When Cloud Removal Meets Diffusion Control in Remote Sensing Memory augment is All You Need for image restoration

Reference 38

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unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 2fd517ec-3942-4099-aef9-4242cd9b1ec1 · outbound

This paper cites A cloud detection method for landsat 8 images based on pcanet.

DC4CR: When Cloud Removal Meets Diffusion Control in Remote Sensing A cloud detection method for landsat 8 images based on pcanet

Reference 39

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Pith citing papers

Observation 21611144-1ca9-42ba-820b-7fb02caee5c4 · inbound

ForgetMe: Evaluating Selective Forgetting in Generative Models cites this paper.

ForgetMe: Evaluating Selective Forgetting in Generative Models DC4CR: When Cloud Removal Meets Diffusion Control in Remote Sensing

Reference 65

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Observation 30c2144e-adfb-40e2-b729-7cb1e52cdca2 · inbound

SatelliteFormula: Multi-Modal Symbolic Regression from Remote Sensing Imagery for Physics Discovery cites this paper.

SatelliteFormula: Multi-Modal Symbolic Regression from Remote Sensing Imagery for Physics Discovery DC4CR: When Cloud Removal Meets Diffusion Control in Remote Sensing

Reference 54

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Unavailable: canonical work link unavailable.

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Observation 94058b4a-25ae-4406-aa46-afb9e8f501aa · inbound

From Physics to Foundation Models: A Review of AI-Driven Quantitative Remote Sensing Inversion cites this paper.

From Physics to Foundation Models: A Review of AI-Driven Quantitative Remote Sensing Inversion DC4CR: When Cloud Removal Meets Diffusion Control in Remote Sensing

Reference 50

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unresolved
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Source-reported events for the cited work

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Observation 47b90077-e646-4c45-adb4-2099c4aa92e9 · inbound

Multi-Modal Machine Learning Framework for Predicting Early Recurrence of Brain Tumors Using MRI and Clinical Biomarkers cites this paper.

Multi-Modal Machine Learning Framework for Predicting Early Recurrence of Brain Tumors Using MRI and Clinical Biomarkers DC4CR: When Cloud Removal Meets Diffusion Control in Remote Sensing

Reference 31

Resolution
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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 400bfe16-e6d5-43cb-9ad1-c92ea5a75033 · inbound

A Multimodal Deep Learning Framework for Early Diagnosis of Liver Cancer via Optimized BiLSTM-AM-VMD Architecture cites this paper.

A Multimodal Deep Learning Framework for Early Diagnosis of Liver Cancer via Optimized BiLSTM-AM-VMD Architecture DC4CR: When Cloud Removal Meets Diffusion Control in Remote Sensing

Reference 31

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Unavailable: canonical work link unavailable.

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