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Paper Citation Record · LEDGER

DFM: Difference Feature Modeling with Text-Guided Gated Contrastive Loss for Remote Sensing Image Change Captioning

As of 22 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 1 inbound Pith citation observation for arXiv:2606.27410.

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

pith.paper-citation-record.v1
2606.27410 v1

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

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measured 35 of 35 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T04:39:24.840350Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

34 of 34 outbound references displayed

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Outbound references

Observation 5dde5612-292e-45a5-b196-b8d2e408fd84 · outbound

This paper cites Rscama: Remote sensing image change captioning with state space model,.

DFM: Difference Feature Modeling with Text-Guided Gated Contrastive Loss for Remote Sensing Image Change Captioning Rscama: Remote sensing image change captioning with state space model,

Reference 1

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Observation 0772c5b5-c57d-4352-88d9-2c7b8b585282 · outbound

This paper cites A decoupling paradigm with prompt learning for remote sensing image change captioning,.

DFM: Difference Feature Modeling with Text-Guided Gated Contrastive Loss for Remote Sensing Image Change Captioning A decoupling paradigm with prompt learning for remote sensing image change captioning,

Reference 2

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Observation 00e689cd-7bcb-403b-a4e2-b1cd1e3a9e2c · outbound

This paper cites Pixel-level change detection pseudo-label learning for remote sensing change captioning,.

DFM: Difference Feature Modeling with Text-Guided Gated Contrastive Loss for Remote Sensing Image Change Captioning Pixel-level change detection pseudo-label learning for remote sensing change captioning,

Reference 3

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Observation 1be91ad3-17f7-48ae-a478-784dd9f8ec30 · outbound

This paper cites High-fidelity lake extraction via two-stage prompt enhancement: Establishing a novel baseline and benchmark,.

DFM: Difference Feature Modeling with Text-Guided Gated Contrastive Loss for Remote Sensing Image Change Captioning High-fidelity lake extraction via two-stage prompt enhancement: Establishing a novel baseline and benchmark,

Reference 4

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Observation 88c9d943-4163-4acb-ac5e-74c7cccb1b10 · outbound

This paper cites Change detection based on deep siamese convolu- tional network for optical aerial images,.

DFM: Difference Feature Modeling with Text-Guided Gated Contrastive Loss for Remote Sensing Image Change Captioning Change detection based on deep siamese convolu- tional network for optical aerial images,

Reference 5

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Observation 34463280-337f-42bd-b5dd-606555d76f48 · outbound

This paper cites A deep convolutional coupling network for change detection based on heterogeneous optical and radar images,.

DFM: Difference Feature Modeling with Text-Guided Gated Contrastive Loss for Remote Sensing Image Change Captioning A deep convolutional coupling network for change detection based on heterogeneous optical and radar images,

Reference 6

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Observation 601d361d-a80c-495a-b21f-4fd718a9a571 · outbound

This paper cites Toward generalized change detection on planetary surfaces with convolutional autoencoders and transfer learn- ing,.

DFM: Difference Feature Modeling with Text-Guided Gated Contrastive Loss for Remote Sensing Image Change Captioning Toward generalized change detection on planetary surfaces with convolutional autoencoders and transfer learn- ing,

Reference 7

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Observation cddd1618-c0e9-4426-a7d9-48aece84ce56 · outbound

This paper cites Multispectral change detection with bilinear convolu- tional neural networks,.

DFM: Difference Feature Modeling with Text-Guided Gated Contrastive Loss for Remote Sensing Image Change Captioning Multispectral change detection with bilinear convolu- tional neural networks,

Reference 8

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Observation f6d6cbef-7ab3-4641-b18c-038d15a93f58 · outbound

This paper cites Change detection in synthetic aperture radar images based on deep neural networks,.

DFM: Difference Feature Modeling with Text-Guided Gated Contrastive Loss for Remote Sensing Image Change Captioning Change detection in synthetic aperture radar images based on deep neural networks,

Reference 9

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Observation 007d77cb-1853-4d05-811b-aeb78e72c5bb · outbound

This paper cites Captioning changes in bi-temporal remote sensing images,.

DFM: Difference Feature Modeling with Text-Guided Gated Contrastive Loss for Remote Sensing Image Change Captioning Captioning changes in bi-temporal remote sensing images,

Reference 10

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Observation 05fb8d6d-04f0-407b-8709-9f31ba00ab2c · outbound

This paper cites Change captioning: A new paradigm for multitem- poral remote sensing image analysis,.

DFM: Difference Feature Modeling with Text-Guided Gated Contrastive Loss for Remote Sensing Image Change Captioning Change captioning: A new paradigm for multitem- poral remote sensing image analysis,

Reference 11

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Observation 1201bd5c-f7e4-4ddf-8117-51f86602379d · outbound

This paper cites Proximal remote sensing: an essential tool for bridging the gap between high-resolution ecosystem monitoring and global ecology,.

DFM: Difference Feature Modeling with Text-Guided Gated Contrastive Loss for Remote Sensing Image Change Captioning Proximal remote sensing: an essential tool for bridging the gap between high-resolution ecosystem monitoring and global ecology,

Reference 12

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Observation 2a7bad88-ffd7-48e8-97d3-b4f20e47ca55 · outbound

This paper cites Remote sensing in forestry: current challenges, considerations and directions,.

DFM: Difference Feature Modeling with Text-Guided Gated Contrastive Loss for Remote Sensing Image Change Captioning Remote sensing in forestry: current challenges, considerations and directions,

Reference 13

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Observation 666f3c93-5876-459a-80ac-ca30b4cdf0d5 · outbound

This paper cites Remote sensing for agriculture in the era of industry 5.0–a survey,.

DFM: Difference Feature Modeling with Text-Guided Gated Contrastive Loss for Remote Sensing Image Change Captioning Remote sensing for agriculture in the era of industry 5.0–a survey,

Reference 14

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Observation a23c4e8c-ff6e-4c04-88a8-2e58809ca569 · outbound

This paper cites Progressive scale-aware network for remote sens- ing image change captioning,.

DFM: Difference Feature Modeling with Text-Guided Gated Contrastive Loss for Remote Sensing Image Change Captioning Progressive scale-aware network for remote sens- ing image change captioning,

Reference 15

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Observation cde44303-7587-4e10-bc6a-e54c0127ef77 · outbound

This paper cites Rsmamba: Remote sensing image classification with state space model,.

DFM: Difference Feature Modeling with Text-Guided Gated Contrastive Loss for Remote Sensing Image Change Captioning Rsmamba: Remote sensing image classification with state space model,

Reference 16

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Observation 87711594-a035-470b-872e-28ce8dd79c23 · outbound

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

DFM: Difference Feature Modeling with Text-Guided Gated Contrastive Loss for Remote Sensing Image Change Captioning Change detection methods for remote sensing in the last decade: A comprehensive review,

Reference 17

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Observation 07b7ad9f-cb55-4756-8bfa-572b20c69287 · outbound

This paper cites Advances and challenges in deep learning-based change detection for remote sensing images: A review through various learning paradigms,.

DFM: Difference Feature Modeling with Text-Guided Gated Contrastive Loss for Remote Sensing Image Change Captioning Advances and challenges in deep learning-based change detection for remote sensing images: A review through various learning paradigms,

Reference 18

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Observation 92dfb01a-2756-448d-b92a-983d40f4b379 · outbound

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

DFM: Difference Feature Modeling with Text-Guided Gated Contrastive Loss for Remote Sensing Image Change Captioning Changeclip: Remote sensing change detection with multimodal vision-language representation learning,

Reference 19

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Observation 38a0084c-11db-4774-92e0-d7ca9ae4fc7c · outbound

This paper cites A novel approach to unsupervised change detection based on a semisupervised svm and a similarity measure,.

DFM: Difference Feature Modeling with Text-Guided Gated Contrastive Loss for Remote Sensing Image Change Captioning A novel approach to unsupervised change detection based on a semisupervised svm and a similarity measure,

Reference 20

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Observation a055fb33-80fe-4b3b-96c6-05b8c172ac72 · outbound

This paper cites Fusion of sar and multispectral images using random forest regression for change detection,.

DFM: Difference Feature Modeling with Text-Guided Gated Contrastive Loss for Remote Sensing Image Change Captioning Fusion of sar and multispectral images using random forest regression for change detection,

Reference 21

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Observation bd569e17-1610-4088-8ef1-9014c901de81 · outbound

This paper cites Learning relationship for very high resolution image change detection,.

DFM: Difference Feature Modeling with Text-Guided Gated Contrastive Loss for Remote Sensing Image Change Captioning Learning relationship for very high resolution image change detection,

Reference 22

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Observation 3efbbd0b-bbe0-4fe3-9ed9-443977b7dded · outbound

This paper cites Sar image change detection based on hybrid condi- tional random field,.

DFM: Difference Feature Modeling with Text-Guided Gated Contrastive Loss for Remote Sensing Image Change Captioning Sar image change detection based on hybrid condi- tional random field,

Reference 23

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Observation 3f5ae283-9123-4609-af74-e3f7da19a456 · outbound

This paper cites Attention is all you need,.

DFM: Difference Feature Modeling with Text-Guided Gated Contrastive Loss for Remote Sensing Image Change Captioning Attention is all you need,

Reference 24

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Observation 0ecea7ee-721a-40f5-aa87-b274db6a1920 · outbound

This paper cites Attention-based spatial and spectral network with pca-guided self-supervised feature extraction for change detection in hyperspectral images,.

DFM: Difference Feature Modeling with Text-Guided Gated Contrastive Loss for Remote Sensing Image Change Captioning Attention-based spatial and spectral network with pca-guided self-supervised feature extraction for change detection in hyperspectral images,

Reference 25

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Observation af3ec7c8-e1e4-472e-82ec-fca0f6036cdf · outbound

This paper cites Transunetcd: A hybrid transformer network for change detection in optical remote-sensing images,.

DFM: Difference Feature Modeling with Text-Guided Gated Contrastive Loss for Remote Sensing Image Change Captioning Transunetcd: A hybrid transformer network for change detection in optical remote-sensing images,

Reference 26

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Observation 1b34c8a6-4210-4ed3-91ba-11517e1f1c34 · outbound

This paper cites Cdformer: A hyperspectral image change detection method based on transformer encoders,.

DFM: Difference Feature Modeling with Text-Guided Gated Contrastive Loss for Remote Sensing Image Change Captioning Cdformer: A hyperspectral image change detection method based on transformer encoders,

Reference 27

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Observation abea7abf-a27b-4f7b-a6f0-1050776af21c · outbound

This paper cites Diffusion models beat gans on image synthesis,.

DFM: Difference Feature Modeling with Text-Guided Gated Contrastive Loss for Remote Sensing Image Change Captioning Diffusion models beat gans on image synthesis,

Reference 28

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Observation 76c92efb-5cd5-4a6d-a09b-626c2eac9a37 · outbound

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

DFM: Difference Feature Modeling with Text-Guided Gated Contrastive Loss for Remote Sensing Image Change Captioning Changemamba: Remote sensing change detection with spatio-temporal state space model,

Reference 29

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Observation 2d1155d3-eb7d-433c-88ac-8a76dfa6f47b · outbound

This paper cites Vmamba: Visual state space model,.

DFM: Difference Feature Modeling with Text-Guided Gated Contrastive Loss for Remote Sensing Image Change Captioning Vmamba: Visual state space model,

Reference 30

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Observation b6c6acf0-74bf-4c72-9f92-b3d5a8eb2928 · outbound

This paper cites Robust change captioning,.

DFM: Difference Feature Modeling with Text-Guided Gated Contrastive Loss for Remote Sensing Image Change Captioning Robust change captioning,

Reference 32

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Observation 24c04bcf-a231-4cf7-a37d-6c1469d8ecd5 · outbound

This paper cites Describing and localizing multiple changes with trans- formers,.

DFM: Difference Feature Modeling with Text-Guided Gated Contrastive Loss for Remote Sensing Image Change Captioning Describing and localizing multiple changes with trans- formers,

Reference 33

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Observation d6f8e3e1-b21c-4314-a615-444db62f220f · outbound

This paper cites Remote sensing image change captioning with dual-branch transformers: A new method and a large scale dataset,.

DFM: Difference Feature Modeling with Text-Guided Gated Contrastive Loss for Remote Sensing Image Change Captioning Remote sensing image change captioning with dual-branch transformers: A new method and a large scale dataset,

Reference 34

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Observation f739f6d0-6ed1-434a-a48b-468f96856e71 · outbound

This paper cites All-mpnet at semeval-2024 task 1: Application of mpnet for evaluating semantic textual relatedness,.

DFM: Difference Feature Modeling with Text-Guided Gated Contrastive Loss for Remote Sensing Image Change Captioning All-mpnet at semeval-2024 task 1: Application of mpnet for evaluating semantic textual relatedness,

Reference 35

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Pith citing papers

Observation 8179b1ca-d6cb-4a37-93cc-c97400a57830 · inbound

GMoT: Gated Motion-Aware Tokenization for Fine-Grained Micro-Gesture Video Reasoning with Multimodal LLMs cites this paper.

GMoT: Gated Motion-Aware Tokenization for Fine-Grained Micro-Gesture Video Reasoning with Multimodal LLMs DFM: Difference Feature Modeling with Text-Guided Gated Contrastive Loss for Remote Sensing Image Change Captioning

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