Paper Citation Record · LEDGER

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

As of 19 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 2026-08-19T06:32:44.657259+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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:37:49.859343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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

Resolution: unresolved; 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 2026-08-19T06:32:44.657259+00:00.

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

Resolution: unresolved; raw_fallback, observed 2026-08-06T22:37:49.551970Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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

Resolution: unresolved; raw_fallback, observed 2026-08-06T22:37:49.391616Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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

Resolution: verified fuzzy; 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 2026-08-19T06:32:44.657259+00:00.

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

Resolution: 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 2026-08-19T06:32:44.657259+00:00.

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

Resolution: verified exact; 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 2026-08-19T06:32:44.657259+00:00.

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

Resolution: verified fuzzy; 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 2026-08-19T06:32:44.657259+00:00.

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

Resolution: 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 2026-08-19T06:32:44.657259+00:00.

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

Resolution: verified fuzzy; 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 2026-08-19T06:32:44.657259+00:00.

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Resolution: 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 2026-08-19T06:32:44.657259+00:00.

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

Resolution: 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 2026-08-19T06:32:44.657259+00:00.

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Resolution: unresolved; no resolver link, observed 2026-08-06T22:37:45.626500Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Resolution: unresolved; 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 2026-08-19T06:32:44.657259+00:00.

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

Resolution: verified fuzzy; 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 2026-08-19T06:32:44.657259+00:00.

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Resolution: 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 2026-08-19T06:32:44.657259+00:00.

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Resolution: 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 2026-08-19T06:32:44.657259+00:00.

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

Resolution: unresolved; 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 2026-08-19T06:32:44.657259+00:00.

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Resolution: 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 2026-08-19T06:32:44.657259+00:00.

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

Resolution: 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 2026-08-19T06:32:44.657259+00:00.

Pith citing papers

No inbound Pith citation observations are available.