Paper Citation Record · LEDGER

GTPC-SSCD: Gate-guided Two-level Perturbation Consistency-based Semi-Supervised Change Detection

As of 22 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 0 inbound Pith citation observations for arXiv:2411.18880.

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

pith.paper-citation-record.v1
2411.18880 v2

Coverage vector

measured 27 of 27 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T10:50:26.856692Z

measured 27 of 27 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+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

27 of 27 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 267007d5-b399-409b-aa30-5d4343290dd0 · outbound

This paper cites Change detection methods for remote sensing in the last decade: A comprehensive review,.

GTPC-SSCD: Gate-guided Two-level Perturbation Consistency-based Semi-Supervised Change Detection Change detection methods for remote sensing in the last decade: A comprehensive review,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:50:27.088338Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation ea422b7e-193a-4111-808b-5e13717eb66a · outbound

This paper cites Hyperspectral change detection using semi- supervised graph neural network and convex deep learning,.

GTPC-SSCD: Gate-guided Two-level Perturbation Consistency-based Semi-Supervised Change Detection Hyperspectral change detection using semi- supervised graph neural network and convex deep learning,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:50:27.079887Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 1c7ec9a9-55e0-4e55-b335-87847c23c201 · outbound

This paper cites Time-series satellite remote sensing reveals gradually increasing war damage in the gaza strip,.

GTPC-SSCD: Gate-guided Two-level Perturbation Consistency-based Semi-Supervised Change Detection Time-series satellite remote sensing reveals gradually increasing war damage in the gaza strip,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:50:27.071938Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 0c4fd384-f5ce-4e1f-a579-512a3dbe1b63 · outbound

This paper cites Cross branch feature fusion decoder for consistency regularization-based semi-supervised change detection,.

GTPC-SSCD: Gate-guided Two-level Perturbation Consistency-based Semi-Supervised Change Detection Cross branch feature fusion decoder for consistency regularization-based semi-supervised change detection,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:50:27.063768Z

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Observation 2f60db6b-3cdc-42bc-ab2e-f700370af7d8 · outbound

This paper cites Advent: Adversarial entropy minimization for domain adaptation in semantic segmentation,.

GTPC-SSCD: Gate-guided Two-level Perturbation Consistency-based Semi-Supervised Change Detection Advent: Adversarial entropy minimization for domain adaptation in semantic segmentation,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:50:27.055724Z

Source-reported events for the cited work

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Observation ca09b184-be26-4da9-8111-d445defd6d1c · outbound

This paper cites Semicdnet: A semisupervised convolutional neural network for change detection in high resolution remote-sensing images,.

GTPC-SSCD: Gate-guided Two-level Perturbation Consistency-based Semi-Supervised Change Detection Semicdnet: A semisupervised convolutional neural network for change detection in high resolution remote-sensing images,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:50:27.047732Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation b847447a-cd09-4321-9048-a5ef785e3e9f · outbound

This paper cites Change detection of high-resolution remote sensing image based on semi-supervised segmentation and adversarial learning,.

GTPC-SSCD: Gate-guided Two-level Perturbation Consistency-based Semi-Supervised Change Detection Change detection of high-resolution remote sensing image based on semi-supervised segmentation and adversarial learning,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:50:27.039456Z

Source-reported events for the cited work

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Observation be80e41c-931a-4d85-b448-e0aa2472729b · outbound

This paper cites Reliable contrastive learning for semi-supervised change detection in remote sensing images,.

GTPC-SSCD: Gate-guided Two-level Perturbation Consistency-based Semi-Supervised Change Detection Reliable contrastive learning for semi-supervised change detection in remote sensing images,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:50:27.031334Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 821dc5d1-2b5f-4bbb-b616-d1475a90eb67 · outbound

This paper cites Semisiroc: Semisupervised change detection with optical imagery and an unsupervised teacher model,.

GTPC-SSCD: Gate-guided Two-level Perturbation Consistency-based Semi-Supervised Change Detection Semisiroc: Semisupervised change detection with optical imagery and an unsupervised teacher model,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:50:27.023073Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation f49e636a-9c1f-4fbf-989d-04b82bb2f4d6 · outbound

This paper cites Deep collaborative learning with class-rebalancing for semi-supervised change detection in sar images,.

GTPC-SSCD: Gate-guided Two-level Perturbation Consistency-based Semi-Supervised Change Detection Deep collaborative learning with class-rebalancing for semi-supervised change detection in sar images,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:50:27.014539Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 711d368c-8533-473e-8fd4-d98405ec7216 · outbound

This paper cites Semisanet: A semi-supervised high- resolution remote sensing image change detection model using siamese networks with graph attention,.

GTPC-SSCD: Gate-guided Two-level Perturbation Consistency-based Semi-Supervised Change Detection Semisanet: A semi-supervised high- resolution remote sensing image change detection model using siamese networks with graph attention,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:50:27.006314Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 7d1fd14a-f4fb-43c0-abce-9ca3b20faedb · outbound

This paper cites Semibuildingchange: A semi- supervised high-resolution remote sensing image building change detec- tion method with a pseudo bi-temporal data generator,.

GTPC-SSCD: Gate-guided Two-level Perturbation Consistency-based Semi-Supervised Change Detection Semibuildingchange: A semi- supervised high-resolution remote sensing image building change detec- tion method with a pseudo bi-temporal data generator,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:50:26.997601Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 789a06f3-acfe-469d-bb4e-be6b090d1569 · outbound

This paper cites Semi-supervised remote sensing image change detection using mean teacher model for constructing pseudo- labels,.

GTPC-SSCD: Gate-guided Two-level Perturbation Consistency-based Semi-Supervised Change Detection Semi-supervised remote sensing image change detection using mean teacher model for constructing pseudo- labels,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:50:26.988572Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 6501a210-3d44-4ce8-8869-a87be3c9b4f5 · outbound

This paper cites Fixmatch: Simplifying semi- supervised learning with consistency and confidence,.

GTPC-SSCD: Gate-guided Two-level Perturbation Consistency-based Semi-Supervised Change Detection Fixmatch: Simplifying semi- supervised learning with consistency and confidence,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:50:26.980018Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation f613290e-66ae-453c-90e3-e0280985c8ef · outbound

This paper cites Mtcnet: Multitask consistency network with single temporal supervision for semi-supervised building change detection,.

GTPC-SSCD: Gate-guided Two-level Perturbation Consistency-based Semi-Supervised Change Detection Mtcnet: Multitask consistency network with single temporal supervision for semi-supervised building change detection,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:50:26.971477Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation d6119209-37f5-4b44-b091-e20106f503f4 · outbound

This paper cites Joint self-training and rebalanced consistency learning for semi-supervised change detection,.

GTPC-SSCD: Gate-guided Two-level Perturbation Consistency-based Semi-Supervised Change Detection Joint self-training and rebalanced consistency learning for semi-supervised change detection,

Reference 16

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 25a9a667-6c85-4abc-ad75-bfce209b909e · outbound

This paper cites Revisiting weak-to- strong consistency in semi-supervised semantic segmentation,.

GTPC-SSCD: Gate-guided Two-level Perturbation Consistency-based Semi-Supervised Change Detection Revisiting weak-to- strong consistency in semi-supervised semantic segmentation,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:50:26.954273Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 7c43d848-399b-4b08-bcd0-bf50938baeda · outbound

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

GTPC-SSCD: Gate-guided Two-level Perturbation Consistency-based Semi-Supervised Change Detection Fully convolutional networks for multisource building extraction from an open aerial and satellite imagery data set,

Reference 18

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Source-reported events for the cited work

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Observation c690e146-5237-4bcd-8ae2-7e5922a94245 · outbound

This paper cites Con- match: Semi-supervised learning with confidence-guided consistency regularization,.

GTPC-SSCD: Gate-guided Two-level Perturbation Consistency-based Semi-Supervised Change Detection Con- match: Semi-supervised learning with confidence-guided consistency regularization,

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation aa1075dc-4fe3-4c31-bf14-da83e14990e8 · outbound

This paper cites Semi-supervised semantic segmen- tation with cross-consistency training,.

GTPC-SSCD: Gate-guided Two-level Perturbation Consistency-based Semi-Supervised Change Detection Semi-supervised semantic segmen- tation with cross-consistency training,

Reference 20

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 2f633054-a1a5-421e-9237-adc7a0aa477c · outbound

This paper cites Deep residual learning for image recognition,.

GTPC-SSCD: Gate-guided Two-level Perturbation Consistency-based Semi-Supervised Change Detection Deep residual learning for image recognition,

Reference 21

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Observation c91595b8-305d-4ad6-bca9-29b94be72237 · outbound

This paper cites Encoder- decoder with atrous separable convolution for semantic image segmen- tation,.

GTPC-SSCD: Gate-guided Two-level Perturbation Consistency-based Semi-Supervised Change Detection Encoder- decoder with atrous separable convolution for semantic image segmen- tation,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:50:26.918938Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation bb397dcd-29c0-4ea9-935c-0fb64bf32772 · outbound

This paper cites Semi-supervised semantic segmentation with high-and low-level consistency,.

GTPC-SSCD: Gate-guided Two-level Perturbation Consistency-based Semi-Supervised Change Detection Semi-supervised semantic segmentation with high-and low-level consistency,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:50:26.909818Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation f19763aa-e6ac-43d7-8601-fbe0227a9f92 · outbound

This paper cites Revisiting Consistency Regularization for Semi-supervised Change Detection in Remote Sensing Images.

GTPC-SSCD: Gate-guided Two-level Perturbation Consistency-based Semi-Supervised Change Detection Revisiting Consistency Regularization for Semi-supervised Change Detection in Remote Sensing Images

Reference 24

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Source-reported events for the cited work

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Observation be54b126-22a4-43fa-a0e7-9fff16fd0628 · outbound

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

GTPC-SSCD: Gate-guided Two-level Perturbation Consistency-based Semi-Supervised Change Detection A spatial-temporal attention-based method and a new dataset for remote sensing image change detection,

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-12T10:50:26.851234Z

Source-reported events for the cited work

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Observation 819979a9-09a6-4c51-a381-5bdcc372aa1b · outbound

This paper cites Afde-net: Building change detection using attention-based feature differential enhancement for satellite imagery,.

GTPC-SSCD: Gate-guided Two-level Perturbation Consistency-based Semi-Supervised Change Detection Afde-net: Building change detection using attention-based feature differential enhancement for satellite imagery,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:50:26.896217Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 9d0974ed-4357-44a7-a12f-9d5cd7294a37 · outbound

This paper cites Change detection in remote sensing images using conditional adver- sarial networks,.

GTPC-SSCD: Gate-guided Two-level Perturbation Consistency-based Semi-Supervised Change Detection Change detection in remote sensing images using conditional adver- sarial networks,

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-12T10:50:26.856692Z

Source-reported events for the cited work

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Pith citing papers

No inbound Pith citation observations are available.