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Paper Citation Record · LEDGER

Be the Change You Want to See: Revisiting Remote Sensing Change Detection Practices

As of 9 August 2026, this Paper Citation Record lists 76 of 76 outbound references and 0 inbound Pith citation observations for arXiv:2507.03367.

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

pith.paper-citation-record.v1
2507.03367 v1

Coverage vector

measured 76 of 76 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T20:17:24.279812Z

measured 76 of 76 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

76 of 76 outbound references displayed

  • verified exact2
  • verified fuzzy63
  • unresolved10
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 29eda5c2-190f-4355-95fd-f3bb03652bb2 · outbound

This paper cites Remote Sensing Image Change Detection With Transformers,.

Be the Change You Want to See: Revisiting Remote Sensing Change Detection Practices Remote Sensing Image Change Detection With Transformers,

Reference 1

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 91026093-e3c6-44b7-92e2-0bdaff8a25de · outbound

This paper cites Urban Change Detection for Multispectral Earth Observation Using Convolutional Neu- ral Networks,.

Be the Change You Want to See: Revisiting Remote Sensing Change Detection Practices Urban Change Detection for Multispectral Earth Observation Using Convolutional Neu- ral Networks,

Reference 2

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raw_fallback, observed 2026-08-06T20:17:34.035679Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 362a1f14-5f83-4e3a-b30b-24dcc7326147 · outbound

This paper cites Segment Any Change,.

Be the Change You Want to See: Revisiting Remote Sensing Change Detection Practices Segment Any Change,

Reference 3

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raw_fallback, observed 2026-08-06T20:17:34.012090Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 2a96e277-2aec-495f-965e-f7678df06570 · outbound

This paper cites Remote Sensing of Land Change: A Multifaceted Perspective,.

Be the Change You Want to See: Revisiting Remote Sensing Change Detection Practices Remote Sensing of Land Change: A Multifaceted Perspective,

Reference 4

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raw_fallback, observed 2026-08-06T20:17:33.989232Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation ebb8b8c5-a2f8-41e1-afc0-2bbd260be82a · outbound

This paper cites Earth Observation and Machine Learning for Climate Change,.

Be the Change You Want to See: Revisiting Remote Sensing Change Detection Practices Earth Observation and Machine Learning for Climate Change,

Reference 5

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raw_fallback, observed 2026-08-06T20:17:33.969846Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 10196c7c-8494-478d-836d-656d411c80ca · outbound

This paper cites Bifa: Remote Sensing Image Change Detection With Bitemporal Feature Alignment,.

Be the Change You Want to See: Revisiting Remote Sensing Change Detection Practices Bifa: Remote Sensing Image Change Detection With Bitemporal Feature Alignment,

Reference 6

Resolution
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raw_fallback, observed 2026-08-06T20:17:33.951823Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T20:17:18.783689Z digest=sha256:d63493dfe6b37d28523bd30c9264de8712d3b9ac61db5d25e24ab2f33f8dcb20

Observation b5019eb2-fc3a-46b2-a35d-7f3ab41f895a · outbound

This paper cites DDPM-CD: Denoising Diffusion Probabilistic Models as Feature Extractors for Remote Sensing Change Detection,.

Be the Change You Want to See: Revisiting Remote Sensing Change Detection Practices DDPM-CD: Denoising Diffusion Probabilistic Models as Feature Extractors for Remote Sensing Change Detection,

Reference 7

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raw_fallback, observed 2026-08-06T20:17:33.933333Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T20:17:18.866678Z digest=sha256:c25543219eca30341943b70d8eab02d07e584306899c7c7cf97d9c02be1ac7d9

Observation c861f5a4-0f74-4479-83cd-101fd323c2e0 · outbound

This paper cites A Transformer-Based Siamese Network for Change Detection,.

Be the Change You Want to See: Revisiting Remote Sensing Change Detection Practices A Transformer-Based Siamese Network for Change Detection,

Reference 8

Resolution
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raw_fallback, observed 2026-08-06T20:17:33.910674Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T20:17:18.902617Z digest=sha256:35eebfdbf2bb139f78e0edde04a893ea19003c8a2a2431a2366cd880c0b170e0

Observation 3f503ccd-9af2-44b7-ab8d-47246bcdb77c · outbound

This paper cites Change Detection on Remote Sensing Images Using Dual-Branch Multilevel Intertemporal Network,.

Be the Change You Want to See: Revisiting Remote Sensing Change Detection Practices Change Detection on Remote Sensing Images Using Dual-Branch Multilevel Intertemporal Network,

Reference 9

Resolution
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no resolver link, observed 2026-08-06T20:17:18.937916Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:17:18.937916Z digest=sha256:f1bc01e382cb6ca5f209b349a65aee6a44c4f30b3571993bfa9c5c2e3652995c

Observation 1f89814a-6bdd-486f-a401-a461a483edb4 · outbound

This paper cites Lightweight Remote Sensing Change Detection With Progressive Fea- ture Aggregation and Supervised Attention,.

Be the Change You Want to See: Revisiting Remote Sensing Change Detection Practices Lightweight Remote Sensing Change Detection With Progressive Fea- ture Aggregation and Supervised Attention,

Reference 10

Resolution
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no resolver link, observed 2026-08-06T20:17:19.000248Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:17:19.000248Z digest=sha256:fc74dc515429e60b98ef47301cb75ad244a09381a965420d1fd007ece409750b

Observation 2c7960b5-0503-4481-83c9-8bda2ac02db0 · outbound

This paper cites Swin Transformer: Hierarchical Vision Transformer Using Shifted Windows,.

Be the Change You Want to See: Revisiting Remote Sensing Change Detection Practices Swin Transformer: Hierarchical Vision Transformer Using Shifted Windows,

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:17:33.864464Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T20:17:19.085695Z digest=sha256:9b4b09f02335a0c067183f6cf190895701a442241e064b9acefaaf4b29391566

Observation 32e5bd48-18df-4826-92c7-06bc634e3aaa · outbound

This paper cites Swin Transformer V2: Scaling up Capacity and Resolution,.

Be the Change You Want to See: Revisiting Remote Sensing Change Detection Practices Swin Transformer V2: Scaling up Capacity and Resolution,

Reference 12

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verified fuzzy
raw_fallback, observed 2026-08-06T20:17:33.846461Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T20:17:19.117398Z digest=sha256:e17f999c8bdfa7d44640643c6896c8781795f1f3577ae64016d7491db6098ca1

Observation 2f4e5b37-609d-40cd-b793-f5acfa2e59a8 · outbound

This paper cites A Convnet for the 2020s,.

Be the Change You Want to See: Revisiting Remote Sensing Change Detection Practices A Convnet for the 2020s,

Reference 13

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T20:17:19.192882Z digest=sha256:eacae26b2cf661aad0b4843765cd1adea99d93772ab33c98ad93be0e0eb8691d

Observation b0a1525e-1c8a-496c-b33e-5ba025c1d05e · outbound

This paper cites Change is Everywhere: Single-Temporal Supervised Object Change Detection in Remote Sens- ing Imagery,.

Be the Change You Want to See: Revisiting Remote Sensing Change Detection Practices Change is Everywhere: Single-Temporal Supervised Object Change Detection in Remote Sens- ing Imagery,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:17:33.809596Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T20:17:19.269019Z digest=sha256:99fc1c66353f8b7436cad67a0f9825ab4c16e9f43198a4fbfa7cb566035df01a

Observation a3831bdb-ba99-4182-ad8e-92d29e2db27c · outbound

This paper cites SwinSUNet: Pure Trans- former Network for Remote Sensing Image Change Detection,.

Be the Change You Want to See: Revisiting Remote Sensing Change Detection Practices SwinSUNet: Pure Trans- former Network for Remote Sensing Image Change Detection,

Reference 15

Resolution
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no resolver link, observed 2026-08-06T20:17:19.328026Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:17:19.328026Z digest=sha256:4e67f90e8d1b37dc5d699a4eb17b3bfceec8aa6bac53962fe255a29046e5676a

Observation b7f0a787-139f-49a9-bed8-ccb8b786a884 · outbound

This paper cites ChangeMamba: Remote Sensing Change Detection With Spatiotemporal State Space Model,.

Be the Change You Want to See: Revisiting Remote Sensing Change Detection Practices ChangeMamba: Remote Sensing Change Detection With Spatiotemporal State Space Model,

Reference 16

Resolution
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raw_fallback, observed 2026-08-06T20:17:33.777409Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T20:17:19.373385Z digest=sha256:73f2e690d87ba0985ce0dbd6019e4a5779ae89b937a46485a5de640afa74a02b

Observation bbf55f32-c945-45a9-aeee-74774d60f171 · outbound

This paper cites Exploring the Importance of Pretrained Feature Extractors for Unsupervised Anomaly Detection and Localization,.

Be the Change You Want to See: Revisiting Remote Sensing Change Detection Practices Exploring the Importance of Pretrained Feature Extractors for Unsupervised Anomaly Detection and Localization,

Reference 17

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raw_fallback, observed 2026-08-06T20:17:33.759886Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T20:17:19.460299Z digest=sha256:0f074fa41d61778b6fc2f8ecdcd5f62e150b64440fedf46eef181bebffedbcf1

Observation ec243995-9ac0-411e-a805-02ff0d6067f7 · outbound

This paper cites In Defense of Pre- Trained Imagenet Architectures for Real-Time Semantic Segmentation of Road-Driving Images,.

Be the Change You Want to See: Revisiting Remote Sensing Change Detection Practices In Defense of Pre- Trained Imagenet Architectures for Real-Time Semantic Segmentation of Road-Driving Images,

Reference 18

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raw_fallback, observed 2026-08-06T20:17:33.742876Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T20:17:19.522035Z digest=sha256:53fe43e2bda0b118e532cf8bd6ddd5e73117ee4463151e065c93d5cd0bd7f629

Observation 58e2db18-4f3d-4ff4-a67a-5bea69344e91 · outbound

This paper cites DINO: DETR With Improved Denoising Anchor Boxes for End-to-End Object Detection,.

Be the Change You Want to See: Revisiting Remote Sensing Change Detection Practices DINO: DETR With Improved Denoising Anchor Boxes for End-to-End Object Detection,

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:17:33.726855Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 465b93fc-65f4-46f1-8563-78a67e446dab · outbound

This paper cites SuperSimpleNet: Unifying Unsu- pervised and Supervised Learning for Fast and Reliable Surface Defect Detection,.

Be the Change You Want to See: Revisiting Remote Sensing Change Detection Practices SuperSimpleNet: Unifying Unsu- pervised and Supervised Learning for Fast and Reliable Surface Defect Detection,

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:17:33.710605Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T20:17:19.619178Z digest=sha256:a7915e50ddff31340abb5672abdf1393154650dc1c0c2d4807eee165a8dd13d9

Observation a62ca2ed-6c34-43d7-aa88-51603e460dc5 · outbound

This paper cites Review Article Digital Change Detection Techniques Using Remotely-Sensed Data,.

Be the Change You Want to See: Revisiting Remote Sensing Change Detection Practices Review Article Digital Change Detection Techniques Using Remotely-Sensed Data,

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:17:33.693674Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T20:17:19.680638Z digest=sha256:370d39ab30e2493ad02b6c128359856f526fdeb1adacde7fb5f28763baff6ddb

Observation 82fff242-b344-4975-bb66-8cea2fe84e0d · outbound

This paper cites Urban Change Detection in SAR Images by Interactive Learning,.

Be the Change You Want to See: Revisiting Remote Sensing Change Detection Practices Urban Change Detection in SAR Images by Interactive Learning,

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:17:33.675712Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T20:17:19.764593Z digest=sha256:a0d30e58810206280658c7ee1b15a604051da45a79eb162ed82b561d730158d4

Observation 259889c1-583e-4c42-b689-a0c3df7cb668 · outbound

This paper cites Urban Change Forecasting From Satellite Images,.

Be the Change You Want to See: Revisiting Remote Sensing Change Detection Practices Urban Change Forecasting From Satellite Images,

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:17:33.648654Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T20:17:19.794256Z digest=sha256:4fe2a5978546bfed35acc2c24ad3a66a16372b8aaae9e5c93f4f922e544bf128

Observation a34b160d-78f4-43e4-ae16-50d11f202ad5 · outbound

This paper cites Fully Convolutional Siamese Networks for Change Detection,.

Be the Change You Want to See: Revisiting Remote Sensing Change Detection Practices Fully Convolutional Siamese Networks for Change Detection,

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:17:33.327280Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T20:17:19.836797Z digest=sha256:8738bd9856dd29c75da8ab4e54b937788c4b9852ec63f191e64d3e91a72dbec9

Observation cc7f1f7c-b43e-4907-8f3a-01ac1e0a28a8 · outbound

This paper cites An Image is Worth 16x16 Words: Trans- formers for Image Recognition at Scale,.

Be the Change You Want to See: Revisiting Remote Sensing Change Detection Practices An Image is Worth 16x16 Words: Trans- formers for Image Recognition at Scale,

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:17:33.039202Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T20:17:19.909337Z digest=sha256:dce81a89db1a767cf9d6799a8d7a627ec0b5dfb261cde4cfc99b45cff782b7d8

Observation 9978a0ed-7cce-415e-b88b-79eb6a259e7c · outbound

This paper cites Mamba: Linear-Time Sequence Modeling With Selective State Spaces,.

Be the Change You Want to See: Revisiting Remote Sensing Change Detection Practices Mamba: Linear-Time Sequence Modeling With Selective State Spaces,

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:17:32.794868Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T20:17:20.006541Z digest=sha256:1b07286e5bb5dce3087655272fdec87b5ee26037c1cb7dababaf3045cdb22f75

Observation cb185998-fac3-4daa-a385-942468e7a5a8 · outbound

This paper cites VMamba: Visual State Space Model,.

Be the Change You Want to See: Revisiting Remote Sensing Change Detection Practices VMamba: Visual State Space Model,

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:17:32.282422Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T20:17:20.254391Z digest=sha256:9baecd13955584b635af6caa55990a4385f3a74bd91c0bb99c200b7e506c2938

Observation 1d0af24b-f927-4836-a661-489e472c95a2 · outbound

This paper cites A Spatial-Temporal Attention-Based Method and A New Dataset for Remote Sensing Image Change Detection,.

Be the Change You Want to See: Revisiting Remote Sensing Change Detection Practices A Spatial-Temporal Attention-Based Method and A New Dataset for Remote Sensing Image Change Detection,

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:17:32.061873Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T20:17:20.302268Z digest=sha256:7b15bf14726a4a53633fb7018c585160401e11ad86b2bafbddeb39e76ed07606

Observation 390d41e8-88af-48e8-9b41-075d379f0e70 · outbound

This paper cites Remote Sensing Change Detection With Transformers Trained From Scratch,.

Be the Change You Want to See: Revisiting Remote Sensing Change Detection Practices Remote Sensing Change Detection With Transformers Trained From Scratch,

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:17:31.774348Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T20:17:20.349715Z digest=sha256:aa22089acffd2eb6694e1491cc50d4ad25ea128019339ce8780dd993e3dcf2fb

Observation c5c18a99-bb7a-47fe-8299-5a14c321a6b2 · outbound

This paper cites Imagenet: a Large-Scale Hierarchical Image Database,.

Be the Change You Want to See: Revisiting Remote Sensing Change Detection Practices Imagenet: a Large-Scale Hierarchical Image Database,

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:17:31.629532Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T20:17:20.438829Z digest=sha256:7ff9a2acbda6fbd479d0152e26f8c1b3814dda798213f87d209041e0a8ae99ac

Observation 7bfe3124-410d-410f-9cd5-fff421ea35af · outbound

This paper cites A New Learning Paradigm for Foundation Model-Based Remote-Sensing Change Detection,.

Be the Change You Want to See: Revisiting Remote Sensing Change Detection Practices A New Learning Paradigm for Foundation Model-Based Remote-Sensing Change Detection,

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:17:31.503582Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T20:17:20.512148Z digest=sha256:b80d8f38318f18024b347dbdac0e53abe69ee1bcc156625d400942ccec40440d

Observation 6b09aaa8-053e-449b-9003-49f850832709 · outbound

This paper cites AnySat: One Earth Observation Model for Many Resolutions, Scales, and Modalities.

Be the Change You Want to See: Revisiting Remote Sensing Change Detection Practices AnySat: One Earth Observation Model for Many Resolutions, Scales, and Modalities

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-06T20:17:20.572776Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:17:20.572776Z digest=sha256:31dafdb7ed69c226174973122a10998eef6484bad8821ec9637543d85830ecfe

Observation 97161b58-383b-45fd-b6c9-a0ba03a22cbf · outbound

This paper cites OmniSat: Self-Supervised Modality Fusion for Earth Observa- tion,.

Be the Change You Want to See: Revisiting Remote Sensing Change Detection Practices OmniSat: Self-Supervised Modality Fusion for Earth Observa- tion,

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:17:31.369756Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T20:17:20.687362Z digest=sha256:76a7c39be00a03698610a7da424f8b1d61acdaad49fd9b6db5ab1eb856d04172

Observation d596fdf7-d973-401e-b742-c474762a46f9 · outbound

This paper cites Geography-Aware Self-Supervised Learning,.

Be the Change You Want to See: Revisiting Remote Sensing Change Detection Practices Geography-Aware Self-Supervised Learning,

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:17:31.202953Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T20:17:20.729708Z digest=sha256:dedb9ca943f2f7ca8d8d346a0148a2cfbd3b91ee0db39c31c678ada25731b77f

Observation 6d8b2488-ede7-495b-b1dd-fc5479457bdf · outbound

This paper cites Seasonal Contrast: Unsupervised Pre-Training From Uncurated Remote Sensing Data,.

Be the Change You Want to See: Revisiting Remote Sensing Change Detection Practices Seasonal Contrast: Unsupervised Pre-Training From Uncurated Remote Sensing Data,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:17:31.072265Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T20:17:20.813158Z digest=sha256:9c7021114bdb615e52e92d01d00406d49a23b34aca773e703df7c19f55eed6dd

Observation d8800d4f-69da-47d8-8c3e-405ae9f9a8d7 · outbound

This paper cites Change-Aware Sampling and Contrastive Learning for Satellite Images,.

Be the Change You Want to See: Revisiting Remote Sensing Change Detection Practices Change-Aware Sampling and Contrastive Learning for Satellite Images,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:17:30.895039Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T20:17:20.873095Z digest=sha256:d1957c397078792826638ea5948ec90a7b2865f6a89e134c1e51a943cb9987e4

Observation d8596c7f-31af-4e14-b7ea-201523dadb01 · outbound

This paper cites SatMAE: Pre-Training Transformers for Temporal and Multi-Spectral Satellite Imagery,.

Be the Change You Want to See: Revisiting Remote Sensing Change Detection Practices SatMAE: Pre-Training Transformers for Temporal and Multi-Spectral Satellite Imagery,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:17:30.675045Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T20:17:20.933601Z digest=sha256:8766f3d82cdaf84199fa76c5de35601abfe0eed3d4733c9fdf8432416e98b0bf

Observation ed1f8944-7df3-4c93-9d8a-7499b7f56199 · outbound

This paper cites Cross-Scale Mae: A Tale of Multiscale Exploitation in Remote Sensing,.

Be the Change You Want to See: Revisiting Remote Sensing Change Detection Practices Cross-Scale Mae: A Tale of Multiscale Exploitation in Remote Sensing,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:17:30.477550Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T20:17:21.019590Z digest=sha256:21be78e63774e1dc55651bf9d7ec02c7f643424c3835208b96ab87c8e70e3f66

Observation 70ce51d1-0314-49b3-b3d7-c3519842a1dc · outbound

This paper cites Towards Geospatial Foundation Models via Continual Pretraining,.

Be the Change You Want to See: Revisiting Remote Sensing Change Detection Practices Towards Geospatial Foundation Models via Continual Pretraining,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:17:30.305547Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T20:17:21.132489Z digest=sha256:e555ef9f08c3a236ad53d1a4e07e3a12fdbda0ce31919440c2b598cc6e622abe

Observation e3266688-2638-4f33-b393-6bf49a175883 · outbound

This paper cites MTP: Advancing Remote Sensing Foundation Model via Multi-Task Pretraining,.

Be the Change You Want to See: Revisiting Remote Sensing Change Detection Practices MTP: Advancing Remote Sensing Foundation Model via Multi-Task Pretraining,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:17:30.111389Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T20:17:21.178765Z digest=sha256:f42f858e7f00633517bdc8dfcebc6397ccb413c00cb102ba2259e295a1803882

Observation fe16217c-d5fd-45a2-a6b3-e9e3f46dd17f · outbound

This paper cites An Empirical Study of Remote Sensing Pretraining,.

Be the Change You Want to See: Revisiting Remote Sensing Change Detection Practices An Empirical Study of Remote Sensing Pretraining,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:17:29.897146Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T20:17:21.255467Z digest=sha256:3934453418472d310a400acaecae5df92e0e67fee9a8b641e90b26ec3ccfb46b

Observation cf1abc0e-57b5-4eb6-9de8-742f80dea2c4 · outbound

This paper cites Self-Supervised Pretraining via Multimodality Images With Transformer for Change Detection,.

Be the Change You Want to See: Revisiting Remote Sensing Change Detection Practices Self-Supervised Pretraining via Multimodality Images With Transformer for Change Detection,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:17:29.694761Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T20:17:21.314466Z digest=sha256:c45077db12f570915f600c01f54d7a1cebd6b062bfa2d92614ceb84ede2cc9fc

Observation 419d4bdc-3556-4468-88aa-458464f1576b · outbound

This paper cites Self-Supervised Pre-Training Enhances Change Detection in Sentinel-2 Imagery,.

Be the Change You Want to See: Revisiting Remote Sensing Change Detection Practices Self-Supervised Pre-Training Enhances Change Detection in Sentinel-2 Imagery,

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:17:29.535591Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T20:17:21.355091Z digest=sha256:651bf44a5e5868f0d613c434b22bfc250db90687b21448ec326859a68ad85b68

Observation 83e1d604-1f57-45f7-94aa-e07e077772e8 · outbound

This paper cites Unified Building Change Detection Pre-Training Method With Masked Semantic Annotations,.

Be the Change You Want to See: Revisiting Remote Sensing Change Detection Practices Unified Building Change Detection Pre-Training Method With Masked Semantic Annotations,

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:17:29.375558Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T20:17:21.464659Z digest=sha256:1fc9b71223865e60bb091c6696b4532c1f0b6dbfb4e52e208dc57ad2e795e83a

Observation 64ce69dc-9856-451c-9c5f-50ae278900cc · outbound

This paper cites Scalable Multi- Temporal Remote Sensing Change Data Generation via Simulating Stochastic Change Process,.

Be the Change You Want to See: Revisiting Remote Sensing Change Detection Practices Scalable Multi- Temporal Remote Sensing Change Data Generation via Simulating Stochastic Change Process,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:17:29.199215Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T20:17:21.572055Z digest=sha256:4c21c512e24d40504e9549f04fc1c5563348435d41f5991787f14031500b5191

Observation add306a0-bce9-4a7e-be5d-604ba1c1e3a0 · outbound

This paper cites Bag of Tricks for Image Classification With Convolutional Neural Networks,.

Be the Change You Want to See: Revisiting Remote Sensing Change Detection Practices Bag of Tricks for Image Classification With Convolutional Neural Networks,

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:17:28.960887Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T20:17:21.643710Z digest=sha256:8715d816181cf015e4beea16f6832c110c3a6e706452280c7c85e57c7f55f837

Observation ff502718-0327-4996-99eb-64c25331d405 · outbound

This paper cites Bag of Tricks for Training Data Extraction From Language Models,.

Be the Change You Want to See: Revisiting Remote Sensing Change Detection Practices Bag of Tricks for Training Data Extraction From Language Models,

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:17:28.756779Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T20:17:21.712813Z digest=sha256:ee118e549481c7dcb2bf25f556576bb5f35522e6e5d35ed97d461f372f1905c6

Observation d4e8f0f2-ea63-4334-a699-fe56d92d8e69 · outbound

This paper cites How Effective is Pre-Training of Large Masked Autoencoders for Downstream Earth Observation Tasks?.

Be the Change You Want to See: Revisiting Remote Sensing Change Detection Practices How Effective is Pre-Training of Large Masked Autoencoders for Downstream Earth Observation Tasks?

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:17:28.556816Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T20:17:21.832852Z digest=sha256:699654a8e7c6243852534ceacafd04ddad4455e6fc319e1796a98ed8c81ac17a

Observation 1ae449d1-e17e-437c-b5b7-a42d7250ce31 · outbound

This paper cites A Change Detection Reality Check.

Be the Change You Want to See: Revisiting Remote Sensing Change Detection Practices A Change Detection Reality Check

Reference 49

Resolution
verified exact
local_arxiv, observed 2026-08-06T20:17:24.681552Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T20:17:21.904791Z digest=sha256:0a9fe69ada299c3c3b98fc968ac4356b210315b98a3197eade5e74614e44de33

Observation e1020653-2980-43f0-b3d0-f29c0670fc2a · outbound

This paper cites Deep Residual Learning for Image Recognition,.

Be the Change You Want to See: Revisiting Remote Sensing Change Detection Practices Deep Residual Learning for Image Recognition,

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-06T20:17:22.032183Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:17:22.032183Z digest=sha256:02692160f51cb3208f9a0fc9a08511bf4404ee743a4b4601e61fa1a0d0b0b120

Observation 438194a8-f1d2-4222-b692-fceaadb357ef · outbound

This paper cites Unified Perceptual Parsing for Scene Understanding,.

Be the Change You Want to See: Revisiting Remote Sensing Change Detection Practices Unified Perceptual Parsing for Scene Understanding,

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:17:28.351233Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T20:17:22.147239Z digest=sha256:64cff998d5e445fefc583fb39d4e012c7b33490a055201ec3e19fb345f3ea417

Observation 91d6d05e-d503-4662-a93d-20517748b862 · outbound

This paper cites A Deeply Supervised Attention Metric-Based Network and an Open Aerial Image Dataset for Remote Sensing Change Detection,.

Be the Change You Want to See: Revisiting Remote Sensing Change Detection Practices A Deeply Supervised Attention Metric-Based Network and an Open Aerial Image Dataset for Remote Sensing Change Detection,

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-06T20:17:22.225816Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:17:22.225816Z digest=sha256:eecebd6b4bdda180528d918e5048e94d40f11dbbdef4c0e7f7a1acbff66a0f67

Observation d7c8d7f1-a3da-42e0-9dc6-d97315cccb24 · outbound

This paper cites AFDE-net: Building Change Detection Using Attention-Based Feature Differential Enhancement for Satellite Imagery,.

Be the Change You Want to See: Revisiting Remote Sensing Change Detection Practices AFDE-net: Building Change Detection Using Attention-Based Feature Differential Enhancement for Satellite Imagery,

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:17:28.168176Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T20:17:22.351752Z digest=sha256:f68a99b5577d8be27e6d7449f8d60d1c5dc58fa86b891749818acaa9d99f1829

Observation 4db5213f-436a-44c1-9da1-ff4cc11f0848 · outbound

This paper cites Cross-Domain Landslide Mapping From Large-Scale Remote Sensing Images Using Prototype- Guided Domain-Aware Progressive Representation Learning,.

Be the Change You Want to See: Revisiting Remote Sensing Change Detection Practices Cross-Domain Landslide Mapping From Large-Scale Remote Sensing Images Using Prototype- Guided Domain-Aware Progressive Representation Learning,

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:17:27.957533Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T20:17:22.428529Z digest=sha256:069b9fab981212410565ece3afa3066aebaa5b01c2fc5936fec1fe6c3213e80c

Observation c4518e57-4142-4d76-8695-1ca940f276e3 · outbound

This paper cites A CNN-Transformer Net- work With Multiscale Context Aggregation for Fine-Grained Cropland Change Detection,.

Be the Change You Want to See: Revisiting Remote Sensing Change Detection Practices A CNN-Transformer Net- work With Multiscale Context Aggregation for Fine-Grained Cropland Change Detection,

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:17:27.763631Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T20:17:22.510487Z digest=sha256:d00a966da84936dc573786e06a42b698c9778d1f39cdacc5ecd228317b1cb7a0

Observation b9f90157-6d19-4b36-ae17-06f0b64dcaed · outbound

This paper cites Decoupled Weight Decay Regularization,.

Be the Change You Want to See: Revisiting Remote Sensing Change Detection Practices Decoupled Weight Decay Regularization,

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:17:27.585586Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T20:17:22.592415Z digest=sha256:8bfc79211d36e7fcfb4bceeeee7afb11bbd78b7425aa87e9edde42679d71ee77

Observation d9d7d812-3268-4d2c-82f0-9c46149a7751 · outbound

This paper cites Scene Parsing Through ADE20k Dataset,.

Be the Change You Want to See: Revisiting Remote Sensing Change Detection Practices Scene Parsing Through ADE20k Dataset,

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:17:27.383999Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T20:17:22.665197Z digest=sha256:db60e0ccc9417df9ff365f08e45e16d06e2cf70ff88759beb3f643a41d80f52d

Observation ce6a932a-0be5-408b-93d5-851872a3e245 · outbound

This paper cites The Cityscapes Dataset for Semantic Urban Scene Understanding,.

Be the Change You Want to See: Revisiting Remote Sensing Change Detection Practices The Cityscapes Dataset for Semantic Urban Scene Understanding,

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:17:27.228930Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T20:17:22.739616Z digest=sha256:3416d53a4c15208afffbe0e2797d8520f884cdd4b09551214a4b3c74dfdeb290

Observation a5a7095e-c881-4a52-b0cf-fe049fe968e3 · outbound

This paper cites Microsoft Coco: Common Objects in Context,.

Be the Change You Want to See: Revisiting Remote Sensing Change Detection Practices Microsoft Coco: Common Objects in Context,

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:17:27.103859Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T20:17:22.842295Z digest=sha256:074bde0da1d95c0ff959965168a9305132efc90391654f26da2fe5d3dcdd2032

Observation 5eb80905-5de6-4049-824c-52844ed728cd · outbound

This paper cites EuroSAT: A Novel Dataset and Deep Learning Benchmark for Land Use and Land Cover Classification,.

Be the Change You Want to See: Revisiting Remote Sensing Change Detection Practices EuroSAT: A Novel Dataset and Deep Learning Benchmark for Land Use and Land Cover Classification,

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:17:26.971036Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T20:17:22.933807Z digest=sha256:39ef98630d5e37e67c7cad46357eb71c05de0d9da96aaa34d2c50abe45aac917

Observation 8b1e413d-5da1-4288-b25c-bfd08b4f41dd · outbound

This paper cites Introducing EuroSAT: A Novel Dataset and Deep Learning Benchmark for Land Use and Land Cover Classification,.

Be the Change You Want to See: Revisiting Remote Sensing Change Detection Practices Introducing EuroSAT: A Novel Dataset and Deep Learning Benchmark for Land Use and Land Cover Classification,

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:17:26.812090Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T20:17:23.048520Z digest=sha256:57f3edf05d348c11cf773ec8286012c7c21a1f3a0355e4b3df3f60ddd80fd431

Observation 9c902231-070f-4e26-92f8-d99c3a9ff168 · outbound

This paper cites Position: Mission critical – satellite data is a distinct modality in machine learning,.

Be the Change You Want to See: Revisiting Remote Sensing Change Detection Practices Position: Mission critical – satellite data is a distinct modality in machine learning,

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:17:26.643520Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T20:17:23.133193Z digest=sha256:cb65b46fe79c99c9e8011e5fa32bb146e3dca9aaca474b59d2874f6dafe2b58b

Observation d7a3b2ce-0205-4689-b1c0-59944040dbc7 · outbound

This paper cites SGDR: Stochastic Gradient Descent With Warm Restarts,.

Be the Change You Want to See: Revisiting Remote Sensing Change Detection Practices SGDR: Stochastic Gradient Descent With Warm Restarts,

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:17:26.540802Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T20:17:23.240753Z digest=sha256:7c1d9286c7a3e431a7af40f63c937535c9ee3f0a03602afaa2e2b38e4c792342

Observation 74508ad6-994c-4b67-823a-112498eda9d5 · outbound

This paper cites V-Net: Fully Convolutional Neural Networks for V olumetric Medical Image Segmentation,.

Be the Change You Want to See: Revisiting Remote Sensing Change Detection Practices V-Net: Fully Convolutional Neural Networks for V olumetric Medical Image Segmentation,

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:17:26.396925Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T20:17:23.365471Z digest=sha256:84a36236661f3907218df4ac9f9cf1f799e2e569d3347549a106158d67090e55

Observation bca8fe49-456d-474f-b3a7-9fdc31cc86b6 · outbound

This paper cites Focal Loss for Dense Object Detection,.

Be the Change You Want to See: Revisiting Remote Sensing Change Detection Practices Focal Loss for Dense Object Detection,

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:17:26.233215Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T20:17:23.497612Z digest=sha256:7c3314f7bf8bf73df15a64e7e4fc76c1c0dcb2988a415bd9bbcdb0f0f7765327

Observation 1f53c12f-426a-4166-8f12-f8735e21d914 · outbound

This paper cites Generalised Dice Overlap as a Deep Learning Loss Function for Highly Unbalanced Segmentations,.

Be the Change You Want to See: Revisiting Remote Sensing Change Detection Practices Generalised Dice Overlap as a Deep Learning Loss Function for Highly Unbalanced Segmentations,

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:17:26.120851Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T20:17:23.598282Z digest=sha256:f12f0b9fc4ecd288550fed7ee561998df8f89bca9f57c6ad9604bcce6b6c8a29

Observation 981efd5d-6932-45dd-bfad-fddf315dc1cf · outbound

This paper cites U-Net: Convolutional Net- works for Biomedical Image Segmentation,.

Be the Change You Want to See: Revisiting Remote Sensing Change Detection Practices U-Net: Convolutional Net- works for Biomedical Image Segmentation,

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:17:25.787018Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T20:17:23.779921Z digest=sha256:25d012a8cf0c797f33daaeea0239ae6dbf0ff7b9bcf149e12caabf78e1da9d48

Observation a2e88345-90dd-4d6b-b342-ee6e785e5320 · outbound

This paper cites an unresolved cited work.

Be the Change You Want to See: Revisiting Remote Sensing Change Detection Practices Unresolved cited work

Reference 68

Resolution
unresolved
raw_fallback, observed 2026-08-06T20:17:25.972038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T20:17:23.672710Z digest=sha256:22b1ede9c85c046f22ac618213f9278b90b2fe0860242093c0c87d4949af1cb6

Observation ed8e34f0-ff8a-45d3-9927-1cc9da4932ed · outbound

This paper cites an unresolved cited work.

Be the Change You Want to See: Revisiting Remote Sensing Change Detection Practices Unresolved cited work

Reference 70

Resolution
unresolved
raw_fallback, observed 2026-08-06T20:17:25.576250Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T20:17:23.831328Z digest=sha256:8dd8a9d42e6f9bd849e5ca2d1bc2dac76fc64a1714dc44f73d7f82b0eaec330e

Observation afca2792-4180-45c4-a5ca-653cd552465b · outbound

This paper cites an unresolved cited work.

Be the Change You Want to See: Revisiting Remote Sensing Change Detection Practices Unresolved cited work

Reference 71

Resolution
unresolved
raw_fallback, observed 2026-08-06T20:17:25.392602Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T20:17:23.868835Z digest=sha256:b9c5278a43b43f9f42a33c20d918caa6d1f76b290183915acccdbd9b2ae367bb

Observation 8dc353a6-d8af-472a-a339-4cb07e6d7d72 · outbound

This paper cites Here, we fur- ther analyize different segmentation tasks – semantic, instance, and panoptic – available for CityScapes [58] and COCO [59].

Be the Change You Want to See: Revisiting Remote Sensing Change Detection Practices Here, we fur- ther analyize different segmentation tasks – semantic, instance, and panoptic – available for CityScapes [58] and COCO [59]

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:17:25.255433Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T20:17:24.005840Z digest=sha256:e172dec6d1694f62fa5122cc0a44d30e3f7ffe20d5e9f32835813c8d54e3ac43

Observation be90829d-e11f-49dd-8e6b-797d033e3503 · outbound

This paper cites an unresolved cited work.

Be the Change You Want to See: Revisiting Remote Sensing Change Detection Practices Unresolved cited work

Reference 73

Resolution
verified exact
raw_fallback, observed 2026-08-06T20:17:24.512889Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T20:17:24.065264Z digest=sha256:8b6b0580f739855f006d07c3917353ff2d5a6110aecad18e036c3476d955da43

Observation 8e48a799-76dd-4273-af59-d852c4b51a42 · outbound

This paper cites an unresolved cited work.

Be the Change You Want to See: Revisiting Remote Sensing Change Detection Practices Unresolved cited work

Reference 74

Resolution
unresolved
raw_fallback, observed 2026-08-06T20:17:25.141208Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T20:17:24.117525Z digest=sha256:5b8e260799cd9bb4621b002fca5bb40c249576d9d71742aacf65cc8bee74a293

Observation c9ea8fad-4e86-499e-940f-1310732fe01a · outbound

This paper cites GFLOPs are measured using the official PyTorch profiler 5.

Be the Change You Want to See: Revisiting Remote Sensing Change Detection Practices GFLOPs are measured using the official PyTorch profiler 5

Reference 75

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:17:24.936727Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T20:17:24.177004Z digest=sha256:358572a79a591bd0dc476d0db01f27b98b748592eac01faefe4a4fcbada28c66

Observation 75136d8d-bd8b-4ac9-93bb-4fca04c55bbe · outbound

This paper cites The FPS is calculated from inference time with the equation: F P S= 1second/inference time.

Be the Change You Want to See: Revisiting Remote Sensing Change Detection Practices The FPS is calculated from inference time with the equation: F P S= 1second/inference time

Reference 76

Resolution
malformed identifier
raw_fallback, observed 2026-08-06T20:17:24.829229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T20:17:24.279812Z digest=sha256:3ec10e8818aa10285286db7c61210a1c70fbe9c3beb047692199aad97dc510a5

Observation 8d5a2de9-ddec-41b2-bbaa-a8c3013a326c · outbound

This paper cites Available: https://openreview.net/forum?id=tEYskw1V Y2.

Be the Change You Want to See: Revisiting Remote Sensing Change Detection Practices Available: https://openreview.net/forum?id=tEYskw1V Y2

Reference 2024

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:17:32.522704Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T20:17:20.146538Z digest=sha256:d412f7a64ec4ee713dfa8fe8fa112ea337ff7a6e7b617fa901af57c8acb9e611

Pith citing papers

No inbound Pith citation observations are available.