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Paper Citation Record · LEDGER

Exploring Generalizable Pre-training for Real-world Change Detection via Geometric Estimation

As of 19 August 2026, this Paper Citation Record lists 65 of 65 outbound references and 0 inbound Pith citation observations for arXiv:2504.14306.

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

pith.paper-citation-record.v1
2504.14306 v1

Coverage vector

measured 65 of 65 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:55:14.812626Z

measured 65 of 65 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+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

65 of 65 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation badb3ccb-a33a-4981-af6d-fe148ae305c5 · outbound

This paper cites A review of change detection in multitemporal hyperspectral images: Current techniques, applications, and challenges,.

Exploring Generalizable Pre-training for Real-world Change Detection via Geometric Estimation A review of change detection in multitemporal hyperspectral images: Current techniques, applications, and challenges,

Reference 1

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Observation 67464175-1aa8-4af2-bbd4-cbcfc4ebaa4c · outbound

This paper cites An automatic change detection method for monitoring newly constructed building areas using time-series multi-view high-resolution optical satellite images,.

Exploring Generalizable Pre-training for Real-world Change Detection via Geometric Estimation An automatic change detection method for monitoring newly constructed building areas using time-series multi-view high-resolution optical satellite images,

Reference 2

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Observation 600f853d-0f16-492b-b2ad-f9a9a0ac24e0 · outbound

This paper cites Deep learning-based change detection in remote sensing images: A review,.

Exploring Generalizable Pre-training for Real-world Change Detection via Geometric Estimation Deep learning-based change detection in remote sensing images: A review,

Reference 3

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Observation e6d33c0d-43e2-4f75-ba69-ed91b6f2713c · outbound

This paper cites A review of data augmentation methods of remote sensing image target recognition,.

Exploring Generalizable Pre-training for Real-world Change Detection via Geometric Estimation A review of data augmentation methods of remote sensing image target recognition,

Reference 4

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Observation d4a840ef-0586-4a95-bd8a-7fe033f2e9bb · outbound

This paper cites Fourier domain structural relationship analysis for unsupervised multimodal change de- tection,.

Exploring Generalizable Pre-training for Real-world Change Detection via Geometric Estimation Fourier domain structural relationship analysis for unsupervised multimodal change de- tection,

Reference 5

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Observation e7df2b8e-4faa-4417-ac7a-4891bd3fd250 · outbound

This paper cites Self-supervised pre- training via multimodality images with transformer for change detection,.

Exploring Generalizable Pre-training for Real-world Change Detection via Geometric Estimation Self-supervised pre- training via multimodality images with transformer for change detection,

Reference 6

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Observation 6e7f6aea-7f00-4587-a89f-81bb8977cc4e · outbound

This paper cites Ssl4eo-s12: A large-scale multimodal, multi- temporal dataset for self-supervised learning in earth observa- tion [software and data sets],.

Exploring Generalizable Pre-training for Real-world Change Detection via Geometric Estimation Ssl4eo-s12: A large-scale multimodal, multi- temporal dataset for self-supervised learning in earth observa- tion [software and data sets],

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 46227682-796c-45e6-a67f-136095c07865 · outbound

This paper cites Exploring fine- grained image-text alignment for referring remote sensing image segmentation,.

Exploring Generalizable Pre-training for Real-world Change Detection via Geometric Estimation Exploring fine- grained image-text alignment for referring remote sensing image segmentation,

Reference 8

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Source-reported events for the cited work

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Observation 06d924c6-18d6-46ff-97ec-a833ef1d797f · outbound

This paper cites Ss-mae: Spa- tial–spectral masked autoencoder for multisource remote sens- ing image classification,.

Exploring Generalizable Pre-training for Real-world Change Detection via Geometric Estimation Ss-mae: Spa- tial–spectral masked autoencoder for multisource remote sens- ing image classification,

Reference 9

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Source-reported events for the cited work

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Observation 17603593-6421-45d7-985b-28105f1013be · outbound

This paper cites Snunet-cd: A densely connected siamese network for change detection of vhr images,.

Exploring Generalizable Pre-training for Real-world Change Detection via Geometric Estimation Snunet-cd: A densely connected siamese network for change detection of vhr images,

Reference 10

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Observation 413ddbae-21c8-4957-9990-62f087da75c9 · outbound

This paper cites A feature difference convolutional neural network-based change detection method,.

Exploring Generalizable Pre-training for Real-world Change Detection via Geometric Estimation A feature difference convolutional neural network-based change detection method,

Reference 11

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Source-reported events for the cited work

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Observation abdf57f3-c259-4b1a-bad5-09474cc51979 · outbound

This paper cites An attention- based multiscale transformer network for remote sensing image change detection,.

Exploring Generalizable Pre-training for Real-world Change Detection via Geometric Estimation An attention- based multiscale transformer network for remote sensing image change detection,

Reference 12

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Source-reported events for the cited work

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Observation 34294095-8f81-4526-bcb6-18d7191e1b45 · outbound

This paper cites A full-level fused cross-task transfer learning method for building change detection using noise- robust pretrained networks on crowdsourced labels,.

Exploring Generalizable Pre-training for Real-world Change Detection via Geometric Estimation A full-level fused cross-task transfer learning method for building change detection using noise- robust pretrained networks on crowdsourced labels,

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation fb00f7de-9af8-4bef-84e6-86e3d8178219 · outbound

This paper cites Sea ice change detection in sar images based on convolutional-wavelet neural networks,.

Exploring Generalizable Pre-training for Real-world Change Detection via Geometric Estimation Sea ice change detection in sar images based on convolutional-wavelet neural networks,

Reference 14

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 0774c434-585e-4079-add4-3a530fe559be · outbound

This paper cites Remote sensing image change detection with transformers,.

Exploring Generalizable Pre-training for Real-world Change Detection via Geometric Estimation Remote sensing image change detection with transformers,

Reference 15

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Source-reported events for the cited work

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Observation 8a720e61-4297-4149-ab78-42a50aa5a591 · outbound

This paper cites Dam- net: Flood detection from sar imagery using differential atten- tion metric-based vision transformers,.

Exploring Generalizable Pre-training for Real-world Change Detection via Geometric Estimation Dam- net: Flood detection from sar imagery using differential atten- tion metric-based vision transformers,

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 8831ff54-5bb5-4f91-bddd-740ea5889951 · outbound

This paper cites Global and local attention-based transformer for hyperspectral image change detection,.

Exploring Generalizable Pre-training for Real-world Change Detection via Geometric Estimation Global and local attention-based transformer for hyperspectral image change detection,

Reference 17

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Source-reported events for the cited work

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Observation 0a523906-3341-4f6b-9d43-8fbfed84213e · outbound

This paper cites Ida-siamnet: Interactive-and dynamic-aware siamese network for building change detection,.

Exploring Generalizable Pre-training for Real-world Change Detection via Geometric Estimation Ida-siamnet: Interactive-and dynamic-aware siamese network for building change detection,

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation ebb2857e-5d14-4fe9-bd70-74c80150de9e · outbound

This paper cites A novel remote sensing image change detection approach based on multi-level state space model,.

Exploring Generalizable Pre-training for Real-world Change Detection via Geometric Estimation A novel remote sensing image change detection approach based on multi-level state space model,

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 9197c346-a141-408f-ba58-ba2c5ca0e730 · outbound

This paper cites Change- mamba: Remote sensing change detection with spatio-temporal state space model,.

Exploring Generalizable Pre-training for Real-world Change Detection via Geometric Estimation Change- mamba: Remote sensing change detection with spatio-temporal state space model,

Reference 20

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 106f02fb-c9f0-440c-a9f7-562c3a10166d · outbound

This paper cites CDMamba: Incorporating Local Clues into Mamba for Remote Sensing Image Binary Change Detection.

Exploring Generalizable Pre-training for Real-world Change Detection via Geometric Estimation CDMamba: Incorporating Local Clues into Mamba for Remote Sensing Image Binary Change Detection

Reference 21

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Source-reported events for the cited work

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Observation a5ac0235-6c9d-4e58-b231-ff5dcf497110 · outbound

This paper cites Unifying remote sensing change detection via deep probabilistic change models: From principles, models to applications,.

Exploring Generalizable Pre-training for Real-world Change Detection via Geometric Estimation Unifying remote sensing change detection via deep probabilistic change models: From principles, models to applications,

Reference 22

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Source-reported events for the cited work

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Observation 48c0a13b-e447-4850-841e-9faec10fd129 · outbound

This paper cites A Mamba-based Siamese Network for Remote Sensing Change Detection.

Exploring Generalizable Pre-training for Real-world Change Detection via Geometric Estimation A Mamba-based Siamese Network for Remote Sensing Change Detection

Reference 23

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Source-reported events for the cited work

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Observation f43eab4e-3c7b-4d73-a202-708b480f610c · outbound

This paper cites Dc- mamba: A novel network for enhanced remote sensing change detection in difficult cases,.

Exploring Generalizable Pre-training for Real-world Change Detection via Geometric Estimation Dc- mamba: A novel network for enhanced remote sensing change detection in difficult cases,

Reference 24

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Source-reported events for the cited work

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Observation 95686c85-fb67-4f47-a0a7-07995d993859 · outbound

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

Exploring Generalizable Pre-training for Real-world Change Detection via Geometric Estimation A spatial-temporal attention-based method and a new dataset for remote sensing image change detection,

Reference 25

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Source-reported events for the cited work

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Observation 4b42afe1-8936-4c51-8ce9-763b7800765d · outbound

This paper cites Fully convolutional networks for multisource building extraction from an open aerial and satellite imagery data set,.

Exploring Generalizable Pre-training for Real-world Change Detection via Geometric Estimation Fully convolutional networks for multisource building extraction from an open aerial and satellite imagery data set,

Reference 26

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 3942eb57-1d5d-448a-83fa-37eb76e8b4be · outbound

This paper cites Change detection in remote sensing images using conditional adversarial networks,.

Exploring Generalizable Pre-training for Real-world Change Detection via Geometric Estimation Change detection in remote sensing images using conditional adversarial networks,

Reference 27

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 23e6637d-1c60-4f7a-937b-980a72a06d3c · outbound

This paper cites Loftr: Detector-free local feature matching with transformers,.

Exploring Generalizable Pre-training for Real-world Change Detection via Geometric Estimation Loftr: Detector-free local feature matching with transformers,

Reference 28

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation b820c09b-8853-48d2-8eef-f49817915cec · outbound

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

Exploring Generalizable Pre-training for Real-world Change Detection via Geometric Estimation Superglue: Learning feature matching with graph neural net- works,

Reference 29

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 2775d8c8-ef15-4f56-b851-a8be1472d1e2 · outbound

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

Exploring Generalizable Pre-training for Real-world Change Detection via Geometric Estimation Lightglue: Local feature matching at light speed,

Reference 30

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 5f81e6cf-cc5f-4b58-924f-3016ef4f1ba4 · outbound

This paper cites Dkm: Dense kernelized feature matching for geometry esti- mation,.

Exploring Generalizable Pre-training for Real-world Change Detection via Geometric Estimation Dkm: Dense kernelized feature matching for geometry esti- mation,

Reference 31

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 9c87d180-5904-4c67-944f-f65ee063c1bb · outbound

This paper cites Toward distortion- aware change detection in realistic scenarios,.

Exploring Generalizable Pre-training for Real-world Change Detection via Geometric Estimation Toward distortion- aware change detection in realistic scenarios,

Reference 32

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation a7434597-019c-4e9b-8fe5-54c2c1e48bf2 · outbound

This paper cites Segment anything,.

Exploring Generalizable Pre-training for Real-world Change Detection via Geometric Estimation Segment anything,

Reference 33

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verified fuzzy
raw_fallback, observed 2026-08-16T11:55:15.660912Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T11:55:14.587477Z digest=sha256:e89859d1465d58fcb6a69b01759040412d8025f4c37b21e67f7be611aee5fb6e

Observation bf634c7d-fd45-4083-8ae1-e1cc216913ad · outbound

This paper cites Learning transferable visual models from natural language supervision,.

Exploring Generalizable Pre-training for Real-world Change Detection via Geometric Estimation Learning transferable visual models from natural language supervision,

Reference 34

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unresolved
no resolver link, observed 2026-08-16T11:55:14.593311Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:55:14.593311Z digest=sha256:8f2ac7a498ef187c5341ef077b34552e29a65164465396e204de526b5bc82411

Observation 476f5841-2770-49cb-b839-f2cc098f4a2a · outbound

This paper cites Transformer-based multistage enhancement for remote sensing image super-resolution,.

Exploring Generalizable Pre-training for Real-world Change Detection via Geometric Estimation Transformer-based multistage enhancement for remote sensing image super-resolution,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:55:15.625770Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T11:55:14.599893Z digest=sha256:d2216ceefe93b14a44a7dbe706c0769141a021c9f5e78902649fc8a7a2d07d9b

Observation 2d436fa6-38b4-4cd9-9657-0fd36878c919 · outbound

This paper cites Spectralgpt: Spectral remote sensing foundation model,.

Exploring Generalizable Pre-training for Real-world Change Detection via Geometric Estimation Spectralgpt: Spectral remote sensing foundation model,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:55:15.602500Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T11:55:14.606506Z digest=sha256:461cd16b8d1e296463433fc6050da84a31b5e5637dcd21b904966ae8ccd6e172

Observation 7798bc3f-06e7-42e1-8135-3128617abd5c · outbound

This paper cites PointSAM: Pointly-Supervised Segment Anything Model for Remote Sensing Images.

Exploring Generalizable Pre-training for Real-world Change Detection via Geometric Estimation PointSAM: Pointly-Supervised Segment Anything Model for Remote Sensing Images

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-16T11:55:14.612309Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:55:14.612309Z digest=sha256:7eca23531d73dbad5629d78f515f659eaf42366bef948ac60f0923c70d6c83f1

Observation f32f15d1-8372-49b0-81a8-4fc68b8b3993 · outbound

This paper cites Sam-assisted remote sensing imagery semantic segmentation with object and boundary constraints,.

Exploring Generalizable Pre-training for Real-world Change Detection via Geometric Estimation Sam-assisted remote sensing imagery semantic segmentation with object and boundary constraints,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:55:15.580718Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T11:55:14.619265Z digest=sha256:fddf1fcb8ade99bea3b62b9f80bcd0f4d34e3a6df5360b5f7d7b8cf5a643267d

Observation 06e5c026-ac64-4739-a3a6-95e46e129f45 · outbound

This paper cites Rsprompter: Learning to prompt for remote sensing instance segmentation based on visual foundation model,.

Exploring Generalizable Pre-training for Real-world Change Detection via Geometric Estimation Rsprompter: Learning to prompt for remote sensing instance segmentation based on visual foundation model,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:55:15.562347Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T11:55:14.625288Z digest=sha256:5fafe7c93154eababd2c36c4a41e75632d8db84b40d6d30e205b1d2f2f7c8735

Observation 323c7ee0-c260-4557-9e7a-837bfe612af7 · outbound

This paper cites Ringmo: A remote sensing foundation model with masked image modeling,.

Exploring Generalizable Pre-training for Real-world Change Detection via Geometric Estimation Ringmo: A remote sensing foundation model with masked image modeling,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:55:15.541847Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T11:55:14.631353Z digest=sha256:cae2f57576f490dfa4d3c56b1206d7b4fbc419429d9f84eed19389c27cbe50ad

Observation 631814a3-0d6d-410d-a9a1-abeb80cdcfb5 · outbound

This paper cites Changeclip: Remote sensing change detection with multimodal vision-language rep- resentation learning,.

Exploring Generalizable Pre-training for Real-world Change Detection via Geometric Estimation Changeclip: Remote sensing change detection with multimodal vision-language rep- resentation learning,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:55:15.518454Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T11:55:14.636281Z digest=sha256:04940e763d21f84e16385bbbcfb4cbc1a334d19fbd4538cf31401640da1b7521

Observation 0f6c5d7b-ed59-48c0-8953-38fa0268327b · outbound

This paper cites Geochat: Grounded large vision-language model for remote sensing,.

Exploring Generalizable Pre-training for Real-world Change Detection via Geometric Estimation Geochat: Grounded large vision-language model for remote sensing,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:55:15.495630Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T11:55:14.643041Z digest=sha256:6a0b4aa31d57f0de4398801ccf3a4cbc51f730eb114fd19246e36298450ee132

Observation 396b94a1-84eb-47e8-9b6d-936cf010602a · outbound

This paper cites Distinctive image features from scale-invariant keypoints,.

Exploring Generalizable Pre-training for Real-world Change Detection via Geometric Estimation Distinctive image features from scale-invariant keypoints,

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:55:15.471509Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T11:55:14.648689Z digest=sha256:38776fccde746c3a03228a187c628c05325531ca5c6281f2a11bafe4183e9ca9

Observation 747dd732-9af0-4b52-88e9-c7788ecf1c41 · outbound

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

Exploring Generalizable Pre-training for Real-world Change Detection via Geometric Estimation Superpoint: Self-supervised interest point detection and description,

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:55:15.451596Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T11:55:14.656740Z digest=sha256:a2c2d46a5a8c8f614813cd98b21876d727a570a6fb048f260841a3043c781032

Observation 20acace2-b3a9-4be7-856c-cb7f9d023282 · outbound

This paper cites Gim: Learning generalizable image matcher from internet videos,.

Exploring Generalizable Pre-training for Real-world Change Detection via Geometric Estimation Gim: Learning generalizable image matcher from internet videos,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:55:15.425086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T11:55:14.663892Z digest=sha256:75490895cec5b20108b5a6baa45f65ebe78ededf0f900c8efb24eced1ec277a6

Observation 4d6fdc83-8121-40a9-9025-3886238ee7d3 · outbound

This paper cites Geo- metric and non-linear radiometric distortion robust multimodal image matching via exploiting deep feature maps,.

Exploring Generalizable Pre-training for Real-world Change Detection via Geometric Estimation Geo- metric and non-linear radiometric distortion robust multimodal image matching via exploiting deep feature maps,

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:55:15.397178Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T11:55:14.676902Z digest=sha256:ac3696f6163d74130e458dc88532db59672b40311320a0aa19c847a6091d7833

Observation 1a285692-81d5-4ae5-8686-671b1d8024a9 · outbound

This paper cites Robust matching for sar and optical images using multiscale convolutional gra- dient features,.

Exploring Generalizable Pre-training for Real-world Change Detection via Geometric Estimation Robust matching for sar and optical images using multiscale convolutional gra- dient features,

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:55:15.372034Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T11:55:14.686692Z digest=sha256:eb5846d0ce4f8f5084a0b2fac7423028b5ef97b3fab010edd20f110ac4785a95

Observation c83511e7-ec76-421b-8e83-e8b4308500e8 · outbound

This paper cites R&D-Net: Integration of registration-net and detection-net for identifying building changes in high spatial- resolution remote sensing images,.

Exploring Generalizable Pre-training for Real-world Change Detection via Geometric Estimation R&D-Net: Integration of registration-net and detection-net for identifying building changes in high spatial- resolution remote sensing images,

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:55:15.351687Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T11:55:14.692776Z digest=sha256:65a7ba508b51dfe54a1b047f9a307a003b185fe509a005f6882903235e076526

Observation 2df960ef-18ba-4c52-a763-242f9ee6bb7d · outbound

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

Exploring Generalizable Pre-training for Real-world Change Detection via Geometric Estimation A unified deep learning network for remote sensing image registration and change detection,

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:55:15.333203Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T11:55:14.699321Z digest=sha256:5231a02835f3c29960330f0badf4041d5b760a60a8daea8bea6270d16fcfa64f

Observation 0d4ca3af-e694-4e76-8c54-c56146ff5240 · outbound

This paper cites Momentum contrast for unsupervised visual representation learning,.

Exploring Generalizable Pre-training for Real-world Change Detection via Geometric Estimation Momentum contrast for unsupervised visual representation learning,

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:55:15.312953Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T11:55:14.704880Z digest=sha256:0e6efbf240a2d1ab89d37186dbc8636f7cf22b15a9b3e452d89b48aba525838b

Observation 304a6600-8185-4b32-962f-f9a8c2904b91 · outbound

This paper cites A simple framework for contrastive learning of visual representations,.

Exploring Generalizable Pre-training for Real-world Change Detection via Geometric Estimation A simple framework for contrastive learning of visual representations,

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-16T11:55:14.714242Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:55:14.714242Z digest=sha256:50033e1b4510dd5a6c253331f542e9a63cd3e9740e884c5937a7849ad1db60ac

Observation 3e4bef30-9265-4687-98f4-afdede14b534 · outbound

This paper cites Exploring simple siamese representation learning,.

Exploring Generalizable Pre-training for Real-world Change Detection via Geometric Estimation Exploring simple siamese representation learning,

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:55:15.275472Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T11:55:14.722119Z digest=sha256:3811fa832803d6f9b2d5d86524da41246e9c7d336a52b5809bcdd083e3df203a

Observation 75a35db1-3f0d-4b67-97f3-6f27859a36bd · outbound

This paper cites Masked autoencoders are scalable vision learners,.

Exploring Generalizable Pre-training for Real-world Change Detection via Geometric Estimation Masked autoencoders are scalable vision learners,

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:55:15.254416Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T11:55:14.728352Z digest=sha256:130f7a2eabb3e4473e882b249dc262a09d671f53623103e8196dfba8b204f64d

Observation 438bfd6b-ac0f-4d38-ba34-44227154c18d · outbound

This paper cites Self-supervised global–local contrastive learning for fine- grained change detection in vhr images,.

Exploring Generalizable Pre-training for Real-world Change Detection via Geometric Estimation Self-supervised global–local contrastive learning for fine- grained change detection in vhr images,

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:55:15.226949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T11:55:14.736796Z digest=sha256:d33db6f340bdfbedd4c1dc283cf6429695f55f336d771dd1a961f68b8cf14235

Observation 9e66ef87-ddcf-4aad-b079-35c76ea1ccf2 · outbound

This paper cites Sslchange: A self-supervised change detection framework based on domain adaptation,.

Exploring Generalizable Pre-training for Real-world Change Detection via Geometric Estimation Sslchange: A self-supervised change detection framework based on domain adaptation,

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:55:15.201371Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T11:55:14.742908Z digest=sha256:a92fd217868c74f09d8e1206c8e66ad15b679c0fa36577d803fe5fee5c6a850f

Observation 94270261-8fec-4fcd-bdf1-55dee4176f2e · outbound

This paper cites Coud: Continual urbanization detector for time series building change detection,.

Exploring Generalizable Pre-training for Real-world Change Detection via Geometric Estimation Coud: Continual urbanization detector for time series building change detection,

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:55:15.180812Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T11:55:14.749086Z digest=sha256:ef0ffae08256842f57b9f45eed1997ce9675739ca75f7a8bffdd2d1433851135

Observation 7eb9ab62-4756-461b-9b18-d5a10a0bf060 · outbound

This paper cites Fast Segment Anything.

Exploring Generalizable Pre-training for Real-world Change Detection via Geometric Estimation Fast Segment Anything

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-16T11:55:14.755191Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:55:14.755191Z digest=sha256:7a42716fc87ce32a936fbe711e9eae58bb45eb0e9642709935b09f6df0e8cbaf

Observation 22d344a4-4eb6-4077-8e64-43f90d4396bc · outbound

This paper cites Emerging properties in self-supervised vision transformers,.

Exploring Generalizable Pre-training for Real-world Change Detection via Geometric Estimation Emerging properties in self-supervised vision transformers,

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:55:15.153381Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T11:55:14.761683Z digest=sha256:6a484aeb380c0babe294269d9c5669b65d187d0004575a2e9deedec5f0051689

Observation 1e477ae9-66e6-4634-bf04-22755a3b297b · outbound

This paper cites A computer algorithm for reconstruct- ing a scene from two projections,.

Exploring Generalizable Pre-training for Real-world Change Detection via Geometric Estimation A computer algorithm for reconstruct- ing a scene from two projections,

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:55:15.125884Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T11:55:14.767642Z digest=sha256:d6f91e3380ecda676b30e210b294d6cf8aa729142ba52c67745b4176abdf2407

Observation b2bf909a-e298-49b0-922f-46e58b6f1b9a · outbound

This paper cites Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography,.

Exploring Generalizable Pre-training for Real-world Change Detection via Geometric Estimation Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography,

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-16T11:55:14.773510Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:55:14.773510Z digest=sha256:df8c5d2833ade80fae150d259d2036110afe9be67d30f179532ff5568a945857

Observation e92894e8-bf6c-4f45-a7e4-652de33cfc27 · outbound

This paper cites Aid: A benchmark data set for performance evaluation of aerial scene classification,.

Exploring Generalizable Pre-training for Real-world Change Detection via Geometric Estimation Aid: A benchmark data set for performance evaluation of aerial scene classification,

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:55:15.079694Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T11:55:14.778415Z digest=sha256:869165ac69f53be72aeac462d91712befb79c29ef32c955e0ff875ab17b62a70

Observation 7d95a0b9-61b2-492c-bb13-6aaf478c4450 · outbound

This paper cites Bag-of-visual-words and spatial extensions for land-use classification,.

Exploring Generalizable Pre-training for Real-world Change Detection via Geometric Estimation Bag-of-visual-words and spatial extensions for land-use classification,

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:55:15.055381Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T11:55:14.783304Z digest=sha256:3b0ff3fcccdaf876eb843ae47c0d95b1a10719c0202ebb2858cc4d37bd76218b

Observation 56832cdc-9292-4769-9d44-c54ca6065907 · outbound

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

Exploring Generalizable Pre-training for Real-world Change Detection via Geometric Estimation Fully convolutional siamese networks for change detection,

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:55:15.025511Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T11:55:14.794110Z digest=sha256:a620deeca2568e56d3b0bf304954432ec38896e457aae56179aaab3349b70134

Observation 92e28585-5222-4c50-be3b-dba4b26298e8 · outbound

This paper cites Ultralightweight spatial–spectral feature cooperation network for change detection in remote sensing images,.

Exploring Generalizable Pre-training for Real-world Change Detection via Geometric Estimation Ultralightweight spatial–spectral feature cooperation network for change detection in remote sensing images,

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:55:14.996468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T11:55:14.804380Z digest=sha256:c9be5cceac44b474e66f6414e501cee404e8e39a18dd6fd0a50ca3cd9d993f7a

Observation 7d5ed54b-eaa1-4461-869c-ebcd7ef0aeb3 · outbound

This paper cites Spatiotemporal enhance- ment and interlevel fusion network for remote sensing images change detection,.

Exploring Generalizable Pre-training for Real-world Change Detection via Geometric Estimation Spatiotemporal enhance- ment and interlevel fusion network for remote sensing images change detection,

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:55:14.972205Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T11:55:14.812626Z digest=sha256:0d9f05a4f677ed8512464778a37491fe20f8e8117a3656d488387678d14b92fd

Pith citing papers

No inbound Pith citation observations are available.