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Paper Citation Record · LEDGER

Compress-Align-Detect: onboard change detection from unregistered images

As of 23 August 2026, this Paper Citation Record lists 59 of 59 outbound references and 0 inbound Pith citation observations for arXiv:2507.15578.

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

pith.paper-citation-record.v1
2507.15578 v1

Coverage vector

measured 59 of 59 reference resolution

Typed states for the displayed outbound observations.

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measured 59 of 59 standing notices

One-hop event checks from named stored sources.

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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

59 of 59 outbound references displayed

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External citation measurements

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Outbound references

Observation 20bad961-5c4c-4169-bf3d-9a9cd6e167d8 · outbound

This paper cites The phi-sat-1 mis- sion: The first on-board deep neural network demonstrator for satellite earth observation,.

Compress-Align-Detect: onboard change detection from unregistered images The phi-sat-1 mis- sion: The first on-board deep neural network demonstrator for satellite earth observation,

Reference 1

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Observation 9bd9e511-fce9-4ddb-812c-c48df374502b · outbound

This paper cites Unlocking the use of raw multispectral earth observation imagery for onboard artificial intelligence,.

Compress-Align-Detect: onboard change detection from unregistered images Unlocking the use of raw multispectral earth observation imagery for onboard artificial intelligence,

Reference 2

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Observation 81cee07f-2363-49c8-978c-4a13a70a0fc4 · outbound

This paper cites Phi-sat-2: Onboard ai apps for earth observation,.

Compress-Align-Detect: onboard change detection from unregistered images Phi-sat-2: Onboard ai apps for earth observation,

Reference 3

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Observation 3b582e5b-56bd-4e57-85b1-24883457f65e · outbound

This paper cites Benchmarking deep learning for on-board space applications,.

Compress-Align-Detect: onboard change detection from unregistered images Benchmarking deep learning for on-board space applications,

Reference 4

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Observation 540e4942-197d-4157-9e5e-161cbe10c606 · outbound

This paper cites On-board ship detection in micro-nano satellite based on deep learning and cots component,.

Compress-Align-Detect: onboard change detection from unregistered images On-board ship detection in micro-nano satellite based on deep learning and cots component,

Reference 5

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Observation ada6c86a-401d-4aa3-b292-7338427f0a5c · outbound

This paper cites Efficient onboard multi- task ai architecture based on self-supervised learning,.

Compress-Align-Detect: onboard change detection from unregistered images Efficient onboard multi- task ai architecture based on self-supervised learning,

Reference 6

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Observation b520d16d-d2e2-45cb-bb2c-88eaa09a57f4 · outbound

This paper cites Ravaen: unsupervised change detection of extreme events using ml on-board satellites,.

Compress-Align-Detect: onboard change detection from unregistered images Ravaen: unsupervised change detection of extreme events using ml on-board satellites,

Reference 7

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Source-reported events for the cited work

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Observation cf203002-f0ef-4ecd-81b1-f121ce3df9e4 · outbound

This paper cites Lightcdnet: Lightweight change detection network based on vhr images,.

Compress-Align-Detect: onboard change detection from unregistered images Lightcdnet: Lightweight change detection network based on vhr images,

Reference 8

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Source-reported events for the cited work

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Observation 4993ad6f-8ca1-48a8-ac79-d2a8e61d9609 · outbound

This paper cites Lightweight remote sensing change detection with progressive feature aggregation and supervised attention,.

Compress-Align-Detect: onboard change detection from unregistered images Lightweight remote sensing change detection with progressive feature aggregation and supervised attention,

Reference 9

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Observation f768ac3e-f506-457e-b572-d94c0cdba9e9 · outbound

This paper cites Tinycd: A (not so) deep learning model for change detection,.

Compress-Align-Detect: onboard change detection from unregistered images Tinycd: A (not so) deep learning model for change detection,

Reference 10

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Source-reported events for the cited work

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Observation 5d26bdd6-d40c-44ea-b820-2a4444743488 · outbound

This paper cites End-to-end remote sensing change detection of unregistered bi-temporal images for natural disasters,.

Compress-Align-Detect: onboard change detection from unregistered images End-to-end remote sensing change detection of unregistered bi-temporal images for natural disasters,

Reference 11

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Observation 395af8b8-25db-4f31-94c7-a4600a48e297 · outbound

This paper cites Changerd: A registration- integrated change detection framework for unaligned remote sensing images,.

Compress-Align-Detect: onboard change detection from unregistered images Changerd: A registration- integrated change detection framework for unaligned remote sensing images,

Reference 12

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Observation a3f4d6ac-7ea1-48c8-8b53-0bd2e3b30c57 · outbound

This paper cites Change is ev- erywhere: Single-temporal supervised object change detection in remote sensing imagery,.

Compress-Align-Detect: onboard change detection from unregistered images Change is ev- erywhere: Single-temporal supervised object change detection in remote sensing imagery,

Reference 13

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Source-reported events for the cited work

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Observation dc2e533a-8482-4af0-94bc-4eb645eb426d · outbound

This paper cites Change- mask: Deep multi-task encoder-transformer-decoder architec- ture for semantic change detection,.

Compress-Align-Detect: onboard change detection from unregistered images Change- mask: Deep multi-task encoder-transformer-decoder architec- ture for semantic change detection,

Reference 14

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Source-reported events for the cited work

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Observation 8f7dd140-3187-4ec3-91f2-53cde1ef8fec · outbound

This paper cites Segment Any Change.

Compress-Align-Detect: onboard change detection from unregistered images Segment Any Change

Reference 15

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Observation 29a7ae8e-1014-4afb-813c-a9baf6ba55e8 · outbound

This paper cites Changer: Feature interaction is what you need for change detection,.

Compress-Align-Detect: onboard change detection from unregistered images Changer: Feature interaction is what you need for change detection,

Reference 16

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Observation 2c71d30e-175d-4e3f-a014-213e24aa637f · outbound

This paper cites Towards storage-aware onboard change detection,.

Compress-Align-Detect: onboard change detection from unregistered images Towards storage-aware onboard change detection,

Reference 17

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Source-reported events for the cited work

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Observation 3a18f712-a3b6-42ba-a2ca-a04c92948c1a · outbound

This paper cites A tutorial on image compression for optical space imaging systems,.

Compress-Align-Detect: onboard change detection from unregistered images A tutorial on image compression for optical space imaging systems,

Reference 18

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Observation a7f7bfa5-e099-46a5-800a-da0dd1b0bd86 · outbound

This paper cites The ccsds 123.0- b-2 “low-complexity lossless and near-lossless multispectral and hyperspectral image compression.

Compress-Align-Detect: onboard change detection from unregistered images The ccsds 123.0- b-2 “low-complexity lossless and near-lossless multispectral and hyperspectral image compression

Reference 19

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Observation a0f2660e-f577-41c9-9673-481473a48979 · outbound

This paper cites End-to-end Optimized Image Compression.

Compress-Align-Detect: onboard change detection from unregistered images End-to-end Optimized Image Compression

Reference 20

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Observation 1646ccb0-891b-4de4-a1fd-c32db3f10a84 · outbound

This paper cites Variational image compression with a scale hyperprior.

Compress-Align-Detect: onboard change detection from unregistered images Variational image compression with a scale hyperprior

Reference 21

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Observation f1aa43e3-b4dc-402a-ba6f-c5568ea5fc14 · outbound

This paper cites Learned image compression with discretized gaussian mixture likelihoods and attention modules,.

Compress-Align-Detect: onboard change detection from unregistered images Learned image compression with discretized gaussian mixture likelihoods and attention modules,

Reference 22

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Observation b2c6be6a-3cf6-4edf-90d9-62b1fddff159 · outbound

This paper cites Overview of the versatile video coding (vvc) standard and its applications,.

Compress-Align-Detect: onboard change detection from unregistered images Overview of the versatile video coding (vvc) standard and its applications,

Reference 23

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Observation 28523c32-90ac-4f91-94d7-0716e6b165d0 · outbound

This paper cites Elic: Efficient learned image compression with unevenly grouped space-channel contextual adaptive coding,.

Compress-Align-Detect: onboard change detection from unregistered images Elic: Efficient learned image compression with unevenly grouped space-channel contextual adaptive coding,

Reference 24

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Observation 7b37f9c4-724d-4a09-a8eb-f8c54de9e10b · outbound

This paper cites Raw sar data compression with deep learning,.

Compress-Align-Detect: onboard change detection from unregistered images Raw sar data compression with deep learning,

Reference 25

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Source-reported events for the cited work

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Observation d08a22e9-a7c2-4ed9-a46f-e2be3b2e8932 · outbound

This paper cites Onboard deep lossless and near-lossless predictive coding of hyperspectral images with line-based attention,.

Compress-Align-Detect: onboard change detection from unregistered images Onboard deep lossless and near-lossless predictive coding of hyperspectral images with line-based attention,

Reference 26

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Observation cdf66cbf-e2b6-4d07-8baf-5fb73bf3f865 · outbound

This paper cites Object recognition from local scale-invariant fea- tures,.

Compress-Align-Detect: onboard change detection from unregistered images Object recognition from local scale-invariant fea- tures,

Reference 27

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Observation 8ecbc86d-5d51-48af-a636-ebfaf875f61d · outbound

This paper cites Superglue: Learning feature matching with graph neural net- works,.

Compress-Align-Detect: onboard change detection from unregistered images Superglue: Learning feature matching with graph neural net- works,

Reference 28

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Observation b91e377f-3d91-4d00-9dd5-171861b771cf · outbound

This paper cites Lightglue: Local feature matching at light speed,.

Compress-Align-Detect: onboard change detection from unregistered images Lightglue: Local feature matching at light speed,

Reference 29

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 204dfdb5-d15b-4d72-91d1-ddf2b24d09fd · outbound

This paper cites A multiscale framework with unsupervised learning for remote sensing image registration,.

Compress-Align-Detect: onboard change detection from unregistered images A multiscale framework with unsupervised learning for remote sensing image registration,

Reference 30

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Observation da09df0c-2b5d-4a53-a978-c756c81bac9b · outbound

This paper cites A unified deep learning network for remote sensing image registration and change detection,.

Compress-Align-Detect: onboard change detection from unregistered images A unified deep learning network for remote sensing image registration and change detection,

Reference 31

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Source-reported events for the cited work

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Observation 8553ede9-cbd4-47d8-a615-0417b4c40574 · outbound

This paper cites Digital change detection in forest ecosystems with remote sensing imagery,.

Compress-Align-Detect: onboard change detection from unregistered images Digital change detection in forest ecosystems with remote sensing imagery,

Reference 32

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Source-reported events for the cited work

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Observation 2d072e2f-e531-49f9-ac1a-3d3303a3772a · outbound

This paper cites Change vector analysis: A technique for the multispectral monitoring of land cover and condition,.

Compress-Align-Detect: onboard change detection from unregistered images Change vector analysis: A technique for the multispectral monitoring of land cover and condition,

Reference 33

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Source-reported events for the cited work

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Observation fd8dabe3-8140-4fee-8674-9461f97b6c84 · outbound

This paper cites Unsupervised change detection in satellite images using principal component analysis and k-means clustering,.

Compress-Align-Detect: onboard change detection from unregistered images Unsupervised change detection in satellite images using principal component analysis and k-means clustering,

Reference 34

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raw_fallback, observed 2026-08-06T15:33:58.844782Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T15:33:58.283237Z digest=sha256:a794c6a23f61075b3f2404b396e9857ad5f6a2a77344c21487d8d8fafbb73ddf

Observation ee8435e7-e299-4f08-b007-bfbf58a577f2 · outbound

This paper cites Object-based classification of remote sensing data for change detection,.

Compress-Align-Detect: onboard change detection from unregistered images Object-based classification of remote sensing data for change detection,

Reference 35

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verified fuzzy
raw_fallback, observed 2026-08-06T15:33:58.828949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T15:33:58.287274Z digest=sha256:ab28c1badeed3a99a9fd3c13d352d6556b104b54cd88622c99e531baabf41851

Observation 1cbbcea5-8b6f-42b4-bb85-9d5f7efc4383 · outbound

This paper cites Forest change de- tection by statistical object-based method,.

Compress-Align-Detect: onboard change detection from unregistered images Forest change de- tection by statistical object-based method,

Reference 36

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verified fuzzy
raw_fallback, observed 2026-08-06T15:33:58.815129Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T15:33:58.291627Z digest=sha256:754a4048f0c9bdb5147f567121275a7f68bce520dc121f1909c764517aed80a3

Observation 52eab41e-5c9e-4517-8d4b-94bd2ba2531b · outbound

This paper cites Use of a dark object concept and support vector machines to automate forest cover change analysis,.

Compress-Align-Detect: onboard change detection from unregistered images Use of a dark object concept and support vector machines to automate forest cover change analysis,

Reference 37

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verified fuzzy
raw_fallback, observed 2026-08-06T15:33:58.800957Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T15:33:58.296166Z digest=sha256:f587e4ae4b631064f64e46fe3ecf391483bf6065da2d86f2fb1dbfdd79b0a37b

Observation faea9b8a-ee38-4e5a-af62-2e08a038e6c5 · outbound

This paper cites A change detection model based on neighborhood correlation image analysis and decision tree classification,.

Compress-Align-Detect: onboard change detection from unregistered images A change detection model based on neighborhood correlation image analysis and decision tree classification,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:33:58.785733Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T15:33:58.300551Z digest=sha256:1a27a070850b6161040a8fd598fd6ae855992961106ba239727c39813ad4bec9

Observation 3bd880d9-a313-4bbe-9b32-56cb0cc4d959 · outbound

This paper cites Fully convolutional siamese networks for change detection,.

Compress-Align-Detect: onboard change detection from unregistered images Fully convolutional siamese networks for change detection,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:33:58.771138Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T15:33:58.304766Z digest=sha256:0f46026cd3a4fb88b234bf337cf009c52c5a73064ac01b0ed454b69dc71a26b4

Observation b7f18593-b486-49a7-b584-723622fb1a6b · outbound

This paper cites A spatial-temporal attention-based method and a new dataset for remote sensing image change detection,.

Compress-Align-Detect: onboard change detection from unregistered images A spatial-temporal attention-based method and a new dataset for remote sensing image change detection,

Reference 40

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unresolved
no resolver link, observed 2026-08-06T15:33:58.309299Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:33:58.309299Z digest=sha256:4a6b606c8577aa03c900c017858d28395ee27c8437838daff9fcc5e6cdb70b46

Observation bf53c6af-f22a-40d5-ae98-d08d47b5d388 · outbound

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

Compress-Align-Detect: onboard change detection from unregistered images A transformer-based siamese network for change detection,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:33:58.746516Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T15:33:58.313380Z digest=sha256:6671e21aa8375af1a71302b7c2230f067987068901600bb757e32543711fceec

Observation 83cb2261-daf7-4774-a898-733dbccbaf37 · outbound

This paper cites Mtp: Advancing remote sensing foundation model via multi-task pretraining,.

Compress-Align-Detect: onboard change detection from unregistered images Mtp: Advancing remote sensing foundation model via multi-task pretraining,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:33:58.731287Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T15:33:58.317921Z digest=sha256:6cd04b8f05bcb589ed7350f679b76a2bd8ef862f79440ed2ff68339bfd89617f

Observation ff2ceb88-5d28-4c81-9905-19de2974ddbc · outbound

This paper cites A new learning paradigm for foundation model-based remote-sensing change detection,.

Compress-Align-Detect: onboard change detection from unregistered images A new learning paradigm for foundation model-based remote-sensing change detection,

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:33:58.716149Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T15:33:58.322308Z digest=sha256:25f4e673f566bebdbb1e416c18c61555eae8b00f9b8ba97b0ac77a34d88e3d69

Observation 0f4a57b1-d30b-4cbe-85fd-09b82892bea6 · outbound

This paper cites Superpoint: Self-supervised interest point detection and description,.

Compress-Align-Detect: onboard change detection from unregistered images Superpoint: Self-supervised interest point detection and description,

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:33:58.701071Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T15:33:58.326599Z digest=sha256:560471a5c2f6f748c5149de70aa60f8ee9059a564841e6990bd7800adcb983d0

Observation a2793526-9601-4183-8997-ecb85fd900df · outbound

This paper cites Squeeze-and-excitation networks,.

Compress-Align-Detect: onboard change detection from unregistered images Squeeze-and-excitation networks,

Reference 45

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unresolved
no resolver link, observed 2026-08-06T15:33:58.331305Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:33:58.331305Z digest=sha256:a3e5e8e3fc9da22e4ad80a2c62bbab3e88ad6a6ee312809c08fe368f2008e4b7

Observation 40603300-8622-4386-86e5-30e772713e46 · outbound

This paper cites Advances and challenges in multimodal remote sensing image registration,.

Compress-Align-Detect: onboard change detection from unregistered images Advances and challenges in multimodal remote sensing image registration,

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:33:58.675777Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T15:33:58.336199Z digest=sha256:3a93eaf8b1a46cbbb5cdcf9a086939c2a38b50ed4577cb322ce258ae30e917b9

Observation 862ffb85-efed-4f00-a083-f8bb9f48adc5 · outbound

This paper cites Fast and robust matching for multimodal remote sensing image registration,.

Compress-Align-Detect: onboard change detection from unregistered images Fast and robust matching for multimodal remote sensing image registration,

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:33:58.659509Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T15:33:58.340520Z digest=sha256:08758bd51b76bb2c78b8b9c0065e5d5fd286ae0abcae2a98c0fb0a1d23c97923

Observation 53b710af-f788-4cbb-8ce7-0c11a05b5a9b · outbound

This paper cites U-net: Convolutional networks for biomedical image segmentation,.

Compress-Align-Detect: onboard change detection from unregistered images U-net: Convolutional networks for biomedical image segmentation,

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:33:58.643645Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T15:33:58.344752Z digest=sha256:1cd672dbfc65c03b5bc741bac7b29b9f8fa51eb76736e98cafb56266237d2192

Observation ba143387-acc6-4ab8-baa1-8083d8f7f63f · outbound

This paper cites Attention is all you need,.

Compress-Align-Detect: onboard change detection from unregistered images Attention is all you need,

Reference 49

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unresolved
no resolver link, observed 2026-08-06T15:33:58.348992Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:33:58.348992Z digest=sha256:254ccd05e988f2cd295aaf0328b16096da7aafb4cc3f747e1b20b0bdfd7ea35e

Observation 7089f6de-0c18-4d17-ac42-1806484665e1 · outbound

This paper cites Mish: A Self Regularized Non-Monotonic Activation Function.

Compress-Align-Detect: onboard change detection from unregistered images Mish: A Self Regularized Non-Monotonic Activation Function

Reference 50

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unresolved
no resolver link, observed 2026-08-06T15:33:58.353123Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:33:58.353123Z digest=sha256:c748d4212ddcf5233cf89d188e53449da7e59eb41bf90824b21dd4d17b5f6317

Observation d7e848a6-f4ad-4b06-812d-0b94c79df19c · outbound

This paper cites Scalable image coding for humans and machines,.

Compress-Align-Detect: onboard change detection from unregistered images Scalable image coding for humans and machines,

Reference 51

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verified fuzzy
raw_fallback, observed 2026-08-06T15:33:58.617376Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T15:33:58.357141Z digest=sha256:59ccb171e3d99ace75b0630c899bce7f36218782dcb80e51ea1025b91919cadf

Observation e2dcd9b6-69a9-4448-9f3a-a4ee76105bea · outbound

This paper cites an unresolved cited work.

Compress-Align-Detect: onboard change detection from unregistered images Unresolved cited work

Reference 52

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unresolved
raw_fallback, observed 2026-08-06T15:33:58.602698Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T15:33:58.361429Z digest=sha256:3b1dbdd0c6a8869d16fe15f45363105c7df7bd7a5e6ca91146adda5352a61cde

Observation a8484630-d956-4b1c-8b0b-92a3b9f36404 · outbound

This paper cites Cloudsen12, a global dataset for semantic understanding of cloud and cloud shadow in sentinel-2,.

Compress-Align-Detect: onboard change detection from unregistered images Cloudsen12, a global dataset for semantic understanding of cloud and cloud shadow in sentinel-2,

Reference 53

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verified fuzzy
raw_fallback, observed 2026-08-06T15:33:58.588048Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T15:33:58.365845Z digest=sha256:7e3fbfde3fd876b2c4a1fb1a1b0addebbe1c98d2fb19f8697570141306bc100a

Observation 8e503f1c-a635-4d13-a89a-f92031bad8ad · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Compress-Align-Detect: onboard change detection from unregistered images Adam: A Method for Stochastic Optimization

Reference 54

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no resolver link, observed 2026-08-06T15:33:58.370285Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:33:58.370285Z digest=sha256:da78347ec75c745d3d1547dc9647da4a418a000414467693f04dfd8e554d10ae

Observation 1d73d8cc-fa32-42d2-9896-9cc7529c8913 · outbound

This paper cites CompressAI: a PyTorch library and evaluation platform for end-to-end compression research.

Compress-Align-Detect: onboard change detection from unregistered images CompressAI: a PyTorch library and evaluation platform for end-to-end compression research

Reference 55

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no resolver link, observed 2026-08-06T15:33:58.376236Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:33:58.376236Z digest=sha256:1f7cf1cabbc789b543180c1a13618a0bbe966b5dc5f1df9f7a9b28be48f0a0f9

Observation 3cb75dcf-5b36-41ed-802f-d150a84a8cff · outbound

This paper cites Open-CD: A Comprehensive Toolbox for Change Detection.

Compress-Align-Detect: onboard change detection from unregistered images Open-CD: A Comprehensive Toolbox for Change Detection

Reference 56

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no resolver link, observed 2026-08-06T15:33:58.380396Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:33:58.380396Z digest=sha256:814524e8b1dd7ce8e9076054c69edb9605dfb4d95c8a29ad26d6410c72fe6fb8

Observation 32838e79-a29a-40e5-bc04-a3d6fc6080a6 · outbound

This paper cites Hanet: A hierarchical attention network for change detection with bitemporal very-high-resolution remote sensing images,.

Compress-Align-Detect: onboard change detection from unregistered images Hanet: A hierarchical attention network for change detection with bitemporal very-high-resolution remote sensing images,

Reference 57

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verified fuzzy
raw_fallback, observed 2026-08-06T15:33:58.572520Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T15:33:58.384672Z digest=sha256:766f5346facc089a81fe594b22743cd7d795faacdc6eeffcd21715ab01d66621

Observation 3e8652fd-c64e-47a0-aeba-fb03b93808eb · outbound

This paper cites Time Travelling Pixels: Bitemporal Features Integration with Foundation Model for Remote Sensing Image Change Detection.

Compress-Align-Detect: onboard change detection from unregistered images Time Travelling Pixels: Bitemporal Features Integration with Foundation Model for Remote Sensing Image Change Detection

Reference 58

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no resolver link, observed 2026-08-06T15:33:58.388768Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:33:58.388768Z digest=sha256:f5717c1110ef838e57bc725b902e81f837c6adc5f708318fa51e1dba7b7c41f2

Observation 8ec5b119-5878-42f6-a884-eadac0bf4a54 · outbound

This paper cites Segment anything,.

Compress-Align-Detect: onboard change detection from unregistered images Segment anything,

Reference 59

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verified fuzzy
raw_fallback, observed 2026-08-06T15:33:58.557057Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T15:33:58.393080Z digest=sha256:254030ef7e894774f4dc108cd02e53b03f8c9dd87d631b6ec4bb24dc0f26b115

Pith citing papers

No inbound Pith citation observations are available.