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Paper Citation Record · LEDGER

Pushing Trade-Off Boundaries: Compact yet Effective Remote Sensing Change Detection

As of 17 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 0 inbound Pith citation observations for arXiv:2506.21109.

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

pith.paper-citation-record.v1
2506.21109 v2

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T22:37:46.966411Z

measured 31 of 31 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+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

31 of 31 outbound references displayed

  • verified exact1
  • verified fuzzy11
  • unresolved19
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8fe0d425-90ef-4ff1-99be-1b1b904f60b6 · outbound

This paper cites Dual-tasks siamese transformer framework for building damage assessment.

Pushing Trade-Off Boundaries: Compact yet Effective Remote Sensing Change Detection Dual-tasks siamese transformer framework for building damage assessment

Reference 1

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation a02a2944-07c8-4444-aad4-e6709aef2d6d · outbound

This paper cites an unresolved cited work.

Pushing Trade-Off Boundaries: Compact yet Effective Remote Sensing Change Detection Unresolved cited work

Reference 2

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raw_fallback, observed 2026-08-06T22:37:49.691514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T22:37:44.027033Z digest=sha256:4d99d949f91277e5c58343bf8e796164a54e041df805a955094f7b7e02f0fee0

Observation 26eb62ba-9610-40c0-8bac-92d2db0b9e50 · outbound

This paper cites an unresolved cited work.

Pushing Trade-Off Boundaries: Compact yet Effective Remote Sensing Change Detection Unresolved cited work

Reference 3

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T22:37:44.125775Z digest=sha256:6ccd401398cc0ecb56a789d39fce159b24127901e16911bb2acd98132632bf8b

Observation d984da82-5348-4b00-8283-5aee299e8dbe · outbound

This paper cites an unresolved cited work.

Pushing Trade-Off Boundaries: Compact yet Effective Remote Sensing Change Detection Unresolved cited work

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T22:37:44.215437Z digest=sha256:03712e5809eac4eded115274a2099ee398814f0215b1a4f485828e7eae3b2c7d

Observation 6f5d1e11-6aff-4150-b61b-757e0e9f531a · outbound

This paper cites Agricultural remote sensing big data: Management and applications.Journal of Integrative Agriculture, 17(9):1915–1931, 2018.

Pushing Trade-Off Boundaries: Compact yet Effective Remote Sensing Change Detection Agricultural remote sensing big data: Management and applications.Journal of Integrative Agriculture, 17(9):1915–1931, 2018

Reference 5

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raw_fallback, observed 2026-08-06T22:37:49.289101Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T22:37:44.329027Z digest=sha256:8b7ac8057841111241eeadd9c823e45b33c43147f39be3026cd5eab45fac40ed

Observation 2390b3af-a321-4b95-be32-1a20d74d52a2 · outbound

This paper cites A review of remote sensing for environmental monitoring in china.Remote Sensing, 12(7):1130, 2020.

Pushing Trade-Off Boundaries: Compact yet Effective Remote Sensing Change Detection A review of remote sensing for environmental monitoring in china.Remote Sensing, 12(7):1130, 2020

Reference 6

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verified fuzzy
raw_fallback, observed 2026-08-06T22:37:49.176868Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T22:37:44.422763Z digest=sha256:17c3ab53a4ac0ae19ce17eb2dc4fce1e92c71c3e2b467d470f1002a32e1802d8

Observation 2e73cc85-a38d-4f84-b747-ee41b636dd0e · outbound

This paper cites Relating CNN-Transformer Fusion Network for Change Detection.

Pushing Trade-Off Boundaries: Compact yet Effective Remote Sensing Change Detection Relating CNN-Transformer Fusion Network for Change Detection

Reference 7

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local_arxiv, observed 2026-08-06T22:37:47.154717Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T22:37:44.531502Z digest=sha256:f1cae82de09f3fb294e407197bc1b8fef6640dc52f4283aeaa4fc56933a90a82

Observation 21b8bb28-7be5-4fea-9a66-17a829ecd365 · outbound

This paper cites Changemamba: Remote sensing change detection with spatio-temporal state space model.IEEE Transactions on Geoscience and Remote Sensing, 2024.

Pushing Trade-Off Boundaries: Compact yet Effective Remote Sensing Change Detection Changemamba: Remote sensing change detection with spatio-temporal state space model.IEEE Transactions on Geoscience and Remote Sensing, 2024

Reference 8

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raw_fallback, observed 2026-08-06T22:37:49.017583Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T22:37:44.659590Z digest=sha256:3d88c239dc95e4449921c48610a141c6291bb9ed257ebdde40b576a609832bc0

Observation e195e525-c0f7-44e2-b125-347267735bd0 · outbound

This paper cites Ultra- lightweight spatial–spectral feature cooperation network for change detection in remote sensing images.IEEE Transactions on Geoscience and Remote Sensing, 61:1–14, 2023.

Pushing Trade-Off Boundaries: Compact yet Effective Remote Sensing Change Detection Ultra- lightweight spatial–spectral feature cooperation network for change detection in remote sensing images.IEEE Transactions on Geoscience and Remote Sensing, 61:1–14, 2023

Reference 9

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verified fuzzy
raw_fallback, observed 2026-08-06T22:37:48.883766Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T22:37:44.784221Z digest=sha256:9b7c3721dcb4755d5ffb80461ce219318f3d13c1c2d6caec633c23c1066b7e08

Observation 597f0c94-2f90-48e8-b5cf-9e9ae64f86ef · outbound

This paper cites Tinycd: A (not so) deep learning model for change detection.Neural Computing and Applications, 35(11):8471–8486, 2023.

Pushing Trade-Off Boundaries: Compact yet Effective Remote Sensing Change Detection Tinycd: A (not so) deep learning model for change detection.Neural Computing and Applications, 35(11):8471–8486, 2023

Reference 10

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raw_fallback, observed 2026-08-06T22:37:48.765250Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T22:37:44.894812Z digest=sha256:f056c533c34aecb6a121987af9ffdcf35f3b1870660a8ad1195169a5deb82e3f

Observation 0097b25f-2e0d-438e-aa2c-2387ece9dfaf · outbound

This paper cites Remote sensing image change detection with transformers.IEEE Transactions on Geoscience and Remote Sensing, 60:1–14, 2021.

Pushing Trade-Off Boundaries: Compact yet Effective Remote Sensing Change Detection Remote sensing image change detection with transformers.IEEE Transactions on Geoscience and Remote Sensing, 60:1–14, 2021

Reference 11

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no resolver link, observed 2026-08-06T22:37:45.059343Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:37:45.059343Z digest=sha256:d95759fa2595d0265460baefbfca1115fdaa63261c69ca8c9418eeba9dd6903e

Observation 43b4a018-c8a5-4713-b771-d9be4151425f · outbound

This paper cites A transformer-based siamese network for change detection.

Pushing Trade-Off Boundaries: Compact yet Effective Remote Sensing Change Detection A transformer-based siamese network for change detection

Reference 12

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no resolver link, observed 2026-08-06T22:37:45.226397Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:37:45.226397Z digest=sha256:cdf232a9760b7eae44efc156f261ef6cfb8c0f429db1317ce1e8f3f2890ed802

Observation 5bbb7df7-ecf1-41a8-8fbd-3bf3ea5c2a08 · outbound

This paper cites Multi-scale change-aware transformer for remote sensing image change detection.

Pushing Trade-Off Boundaries: Compact yet Effective Remote Sensing Change Detection Multi-scale change-aware transformer for remote sensing image change detection

Reference 13

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verified fuzzy
raw_fallback, observed 2026-08-06T22:37:48.610729Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T22:37:45.348787Z digest=sha256:0e9b5901e12d5c93003545bd1317961e2a4eba3e8c04fa01a8dff7c41004b267

Observation 5dcebd9c-dbca-4bdb-be3b-2f9c8f8d003b · outbound

This paper cites Repvit: Revisiting mobile cnn from vit perspective.

Pushing Trade-Off Boundaries: Compact yet Effective Remote Sensing Change Detection Repvit: Revisiting mobile cnn from vit perspective

Reference 14

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verified fuzzy
raw_fallback, observed 2026-08-06T22:37:48.486344Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T22:37:45.439936Z digest=sha256:0d00a5a70914f705223e0c694fb844b8ea216671f388220b9bfff967ceccd102

Observation f97b722c-80fd-49a2-9874-278346007ad7 · outbound

This paper cites Fully convolutional siamese networks for change detection.

Pushing Trade-Off Boundaries: Compact yet Effective Remote Sensing Change Detection Fully convolutional siamese networks for change detection

Reference 15

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no resolver link, observed 2026-08-06T22:37:45.531393Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:37:45.531393Z digest=sha256:bc82cab665025a644bf58661999078de054d7f0952773103b62baaa96e0dee62

Observation 5712010d-ec53-416b-860b-248595cb3ecf · outbound

This paper cites Snunet-cd: A densely connected siamese network for change detection of vhr images.IEEE Geoscience and Remote Sensing Letters, 19:1–5, 2021.

Pushing Trade-Off Boundaries: Compact yet Effective Remote Sensing Change Detection Snunet-cd: A densely connected siamese network for change detection of vhr images.IEEE Geoscience and Remote Sensing Letters, 19:1–5, 2021

Reference 16

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source=pdf_text observed=2026-08-06T22:37:45.626500Z digest=sha256:14f3a4507e8d453c2aefc9f58055d9394218356b12765ff8edfab64e3b43bde2

Observation 4fed8d11-300e-478c-ac57-c9a23c1e9efd · outbound

This paper cites an unresolved cited work.

Pushing Trade-Off Boundaries: Compact yet Effective Remote Sensing Change Detection Unresolved cited work

Reference 17

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raw_fallback, observed 2026-08-06T22:37:48.361488Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation c3c648c4-80c8-4c61-ace8-21584896435e · outbound

This paper cites Optical remote sensing image change detection based on attention mechanism and image difference.IEEE Transactions on Geoscience and Remote Sensing, 59(9):7296– 7307, 2020.

Pushing Trade-Off Boundaries: Compact yet Effective Remote Sensing Change Detection Optical remote sensing image change detection based on attention mechanism and image difference.IEEE Transactions on Geoscience and Remote Sensing, 59(9):7296– 7307, 2020

Reference 18

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raw_fallback, observed 2026-08-06T22:37:48.257997Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T22:37:45.827208Z digest=sha256:b360ef84cd012ecad23bbf8841bdd695efeee84fd66eed3fd6dc86dbf9b800f9

Observation 27d4830b-6b94-4250-bb9a-e2d07bcf1b2d · outbound

This paper cites ObjFormer: Learning Land-Cover Changes From Paired OSM Data and Optical High-Resolution Imagery via Object-Guided Transformer.

Pushing Trade-Off Boundaries: Compact yet Effective Remote Sensing Change Detection ObjFormer: Learning Land-Cover Changes From Paired OSM Data and Optical High-Resolution Imagery via Object-Guided Transformer

Reference 19

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no resolver link, observed 2026-08-06T22:37:45.920405Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:37:45.920405Z digest=sha256:8b47fd94ac22dffec68ec85d51ba6a372ac0e401204fe92cef5942159b0ae59f

Observation 0ba94700-d1fb-4ecb-9826-14e8e9ee350c · outbound

This paper cites MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications.

Pushing Trade-Off Boundaries: Compact yet Effective Remote Sensing Change Detection MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications

Reference 20

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no resolver link, observed 2026-08-06T22:37:46.012807Z

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source=pdf_text observed=2026-08-06T22:37:46.012807Z digest=sha256:5d14cab9fb38d7cc3ceb8bfdbf743e37230b97fdd3544219744f373243b0855e

Observation 6b9e0c11-22e1-44d4-984f-788c8c26ffbc · outbound

This paper cites Shufflenet: An extremely efficient convolutional neural network for mobile devices.

Pushing Trade-Off Boundaries: Compact yet Effective Remote Sensing Change Detection Shufflenet: An extremely efficient convolutional neural network for mobile devices

Reference 21

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no resolver link, observed 2026-08-06T22:37:46.098548Z

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source=pdf_text observed=2026-08-06T22:37:46.098548Z digest=sha256:56eb6a3fa6ae6106a0ef58324f1be7b74246bd66b97c1a498d2f7373fae3d5d7

Observation c2d36917-9b71-416b-b7cc-8b1b0132ff03 · outbound

This paper cites Run, don’t walk: chasing higher flops for faster neural networks.

Pushing Trade-Off Boundaries: Compact yet Effective Remote Sensing Change Detection Run, don’t walk: chasing higher flops for faster neural networks

Reference 22

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no resolver link, observed 2026-08-06T22:37:46.183344Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:37:46.183344Z digest=sha256:533daaaa158efbf2ad3fa2dcc70dfff2fd580801569d5b391d2d43a1d5a927c2

Observation 59d2a3ce-4d7b-43dc-9ff7-7594672a0a60 · outbound

This paper cites Swin transformer: Hierarchical vision transformer using shifted windows.

Pushing Trade-Off Boundaries: Compact yet Effective Remote Sensing Change Detection Swin transformer: Hierarchical vision transformer using shifted windows

Reference 23

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no resolver link, observed 2026-08-06T22:37:46.273512Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:37:46.273512Z digest=sha256:f3073ba3235fa7cfbc259b919ff2bc2529700e88d5b4b7622a2fff34ad2e42c0

Observation 945da84a-81bd-4676-9049-6761dba4214b · outbound

This paper cites Axial-deeplab: Stand-alone axial-attention for panoptic segmentation.

Pushing Trade-Off Boundaries: Compact yet Effective Remote Sensing Change Detection Axial-deeplab: Stand-alone axial-attention for panoptic segmentation

Reference 24

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verified fuzzy
raw_fallback, observed 2026-08-06T22:37:48.155294Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T22:37:46.340340Z digest=sha256:e4e67df875ca2b0d5a2dafc7104f135b7de3cbc4e4378e4369988f80ba302864

Observation a9dfd0eb-9554-4439-8c48-d553443b8b08 · outbound

This paper cites MobileViT: Light-weight, General-purpose, and Mobile-friendly Vision Transformer.

Pushing Trade-Off Boundaries: Compact yet Effective Remote Sensing Change Detection MobileViT: Light-weight, General-purpose, and Mobile-friendly Vision Transformer

Reference 25

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no resolver link, observed 2026-08-06T22:37:46.419996Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:37:46.419996Z digest=sha256:4591d737f66ba7d3fc7b55803f8beecef51f36d4826c50a49e829930c77c6233

Observation 88551adf-1b07-43b9-b0f3-44293e9f7afa · outbound

This paper cites Efficientnet: Rethinking model scaling for convolutional neural networks.

Pushing Trade-Off Boundaries: Compact yet Effective Remote Sensing Change Detection Efficientnet: Rethinking model scaling for convolutional neural networks

Reference 26

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no resolver link, observed 2026-08-06T22:37:46.509323Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:37:46.509323Z digest=sha256:28a8ed2a3dd8ab929e6107d4c8c26571e230dc86b30ac1232071e71cf1bbea1f

Observation 287464ae-af12-4369-8e6b-d2910d5519a4 · outbound

This paper cites an unresolved cited work.

Pushing Trade-Off Boundaries: Compact yet Effective Remote Sensing Change Detection Unresolved cited work

Reference 27

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unresolved
raw_fallback, observed 2026-08-06T22:37:47.847269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T22:37:46.604933Z digest=sha256:7c332eb51d5dfd38bb76d3fcf01a060f50dae8829bcc7d0714d7e60901dcc08a

Observation 5793dc00-b86d-4871-a5b1-402c877bf1f9 · outbound

This paper cites an unresolved cited work.

Pushing Trade-Off Boundaries: Compact yet Effective Remote Sensing Change Detection Unresolved cited work

Reference 28

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raw_fallback, observed 2026-08-06T22:37:47.611384Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T22:37:46.691358Z digest=sha256:891d53e56a77425496fca0811a44b0706c6e82917e7058377b2f5f5a7c64639b

Observation ecdf3757-d640-43d8-b0d9-495f1799bac0 · outbound

This paper cites A spatial-temporal attention-based method and a new dataset for remote sensing image change detection.Remote sensing, 12(10):1662, 2020.

Pushing Trade-Off Boundaries: Compact yet Effective Remote Sensing Change Detection A spatial-temporal attention-based method and a new dataset for remote sensing image change detection.Remote sensing, 12(10):1662, 2020

Reference 29

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no resolver link, observed 2026-08-06T22:37:46.784519Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:37:46.784519Z digest=sha256:81a74934bf24b89467b2254f902ada23b7105f9a3652d2a5f26b425bc9b4c6f5

Observation f6e8324f-40a1-4cd2-8fb9-bde6db5c5f40 · outbound

This paper cites an unresolved cited work.

Pushing Trade-Off Boundaries: Compact yet Effective Remote Sensing Change Detection Unresolved cited work

Reference 30

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unresolved
raw_fallback, observed 2026-08-06T22:37:47.473538Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T22:37:46.877279Z digest=sha256:00aad0e503e182ae82a4924d70d7619034a26978538fd2374216f7d21a68b26e

Observation eba0ef8c-2333-4fd1-ad2d-cf5a0e500ced · outbound

This paper cites Bifa: Remote sensing image change detection with bitemporal feature alignment.IEEE Transactions on Geoscience and Remote Sensing, 2024.

Pushing Trade-Off Boundaries: Compact yet Effective Remote Sensing Change Detection Bifa: Remote sensing image change detection with bitemporal feature alignment.IEEE Transactions on Geoscience and Remote Sensing, 2024

Reference 31

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verified fuzzy
raw_fallback, observed 2026-08-06T22:37:47.330113Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T22:37:46.966411Z digest=sha256:c6806dbd0c10f3916fb7c039fa47163dda815d460c6749a9acb38ff40fac91d7

Pith citing papers

No inbound Pith citation observations are available.