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Paper Citation Record · LEDGER

Text-Guided Coarse-to-Fine Fusion Network for Robust Remote Sensing Visual Question Answering

As of 18 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 1 inbound Pith citation observation for arXiv:2411.15770.

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

pith.paper-citation-record.v1
2411.15770 v2

Coverage vector

measured 44 of 44 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T13:59:26.645260Z

measured 45 of 45 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T20:35:00.960635Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T20:35:01.175104Z

Reference resolution

44 of 44 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d2813d7c-b63a-4f92-bd27-ae2910e1cf01 · outbound

This paper cites Lawrence Zitnick, and Devi Parikh.

Text-Guided Coarse-to-Fine Fusion Network for Robust Remote Sensing Visual Question Answering Lawrence Zitnick, and Devi Parikh

Reference 1

Resolution
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Source-reported events for the cited work

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Observation bf902116-28df-4fee-9cc9-80b474d678f0 · outbound

This paper cites Eurosat: A novel dataset and deep learning benchmark for land use and land cover classification.

Text-Guided Coarse-to-Fine Fusion Network for Robust Remote Sensing Visual Question Answering Eurosat: A novel dataset and deep learning benchmark for land use and land cover classification

Reference 2

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Source-reported events for the cited work

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Observation ebb77bb6-9808-4600-9ca9-1ed42afc06b3 · outbound

This paper cites Three-dimensional visualized urban landscape planning and design based on virtual reality technology.IEEE Access, 8:149510– 149521, 2020.

Text-Guided Coarse-to-Fine Fusion Network for Robust Remote Sensing Visual Question Answering Three-dimensional visualized urban landscape planning and design based on virtual reality technology.IEEE Access, 8:149510– 149521, 2020

Reference 3

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Observation 3df302a7-a0b1-4ad1-94d9-e8ee8503ea55 · outbound

This paper cites A review of remote sensing for environmental monitoring in china.

Text-Guided Coarse-to-Fine Fusion Network for Robust Remote Sensing Visual Question Answering A review of remote sensing for environmental monitoring in china

Reference 4

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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 1ab456fe-7049-4bd4-af9b-fe585ccb1285 · outbound

This paper cites Remote sensing in multirisk assessment: Improving disaster preparedness.IEEE Geo- science and Remote Sensing Magazine, 5:53–65, 2017.

Text-Guided Coarse-to-Fine Fusion Network for Robust Remote Sensing Visual Question Answering Remote sensing in multirisk assessment: Improving disaster preparedness.IEEE Geo- science and Remote Sensing Magazine, 5:53–65, 2017

Reference 5

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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 0f23c616-2813-424b-9957-b0659706fe75 · outbound

This paper cites Rsvqa: Visual question answering for remote sensing data.IEEE Transactions on Geoscience and Remote Sensing, 58:8555–8566, 2020.

Text-Guided Coarse-to-Fine Fusion Network for Robust Remote Sensing Visual Question Answering Rsvqa: Visual question answering for remote sensing data.IEEE Transactions on Geoscience and Remote Sensing, 58:8555–8566, 2020

Reference 6

Resolution
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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 f350e75e-12a8-45d9-be93-b00b3b523f43 · outbound

This paper cites Mu- tual attention inception network for remote sensing visual question an- swering.

Text-Guided Coarse-to-Fine Fusion Network for Robust Remote Sensing Visual Question Answering Mu- tual attention inception network for remote sensing visual question an- swering

Reference 7

Resolution
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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 a0c9fe97-3d42-4e68-82e9-28b848ebe1cc · outbound

This paper cites Hrvqa: A visual questionansweringbenchmarkforhigh-resolutionaerialimages.

Text-Guided Coarse-to-Fine Fusion Network for Robust Remote Sensing Visual Question Answering Hrvqa: A visual questionansweringbenchmarkforhigh-resolutionaerialimages

Reference 8

Resolution
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Observation e5c03adf-d806-419b-b83f-5bbc601a376e · outbound

This paper cites Prompt-rsvqa: Prompting visual context to a language model for remote sensing visual question answering.

Text-Guided Coarse-to-Fine Fusion Network for Robust Remote Sensing Visual Question Answering Prompt-rsvqa: Prompting visual context to a language model for remote sensing visual question answering

Reference 9

Resolution
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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 05d88c6a-4f36-406f-94f0-2794826cca45 · outbound

This paper cites Multistep question-driven vi- sualquestionansweringforremotesensing.

Text-Guided Coarse-to-Fine Fusion Network for Robust Remote Sensing Visual Question Answering Multistep question-driven vi- sualquestionansweringforremotesensing

Reference 10

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Source-reported events for the cited work

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Observation 23796d60-bf72-4a54-9f8f-8105716d6b4a · outbound

This paper cites Bi-modal transformer-based approach for visual question answering in remote sensing imagery.

Text-Guided Coarse-to-Fine Fusion Network for Robust Remote Sensing Visual Question Answering Bi-modal transformer-based approach for visual question answering in remote sensing imagery

Reference 11

Resolution
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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 5d829128-e2bb-4097-8a28-26f1b4ffbb48 · outbound

This paper cites From easy to hard: Learning language-guided curriculum for visual question answering on remote sensing data.IEEE Transactions on Geoscience and Remote Sensing, 60:1–11, 2022.

Text-Guided Coarse-to-Fine Fusion Network for Robust Remote Sensing Visual Question Answering From easy to hard: Learning language-guided curriculum for visual question answering on remote sensing data.IEEE Transactions on Geoscience and Remote Sensing, 60:1–11, 2022

Reference 12

Resolution
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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 f7e0171b-2718-47d8-8c7a-f6cd41fe698d · outbound

This paper cites Aspatialhierarchicalreasoningnetwork for remote sensing visual question answering.IEEE Transactions on Geoscience and Remote Sensing, 61:1–15, 2023.

Text-Guided Coarse-to-Fine Fusion Network for Robust Remote Sensing Visual Question Answering Aspatialhierarchicalreasoningnetwork for remote sensing visual question answering.IEEE Transactions on Geoscience and Remote Sensing, 61:1–15, 2023

Reference 13

Resolution
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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 55050a6d-41e6-4719-bb2b-b57bf6a2adc5 · outbound

This paper cites an unresolved cited work.

Text-Guided Coarse-to-Fine Fusion Network for Robust Remote Sensing Visual Question Answering Unresolved cited work

Reference 14

Resolution
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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 42e1e073-d679-4db2-90c3-8316e7076018 · outbound

This paper cites Change detection meets visual question answering.IEEE Transactions on Geoscience and Remote Sensing, 60:1–13, 2022.

Text-Guided Coarse-to-Fine Fusion Network for Robust Remote Sensing Visual Question Answering Change detection meets visual question answering.IEEE Transactions on Geoscience and Remote Sensing, 60:1–13, 2022

Reference 15

Resolution
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Source-reported events for the cited work

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Observation 87c099c1-032f-47a8-835c-8e119ff65c22 · outbound

This paper cites Floodnet: A high resolution aerial imagery dataset for post flood scene understand- ing.

Text-Guided Coarse-to-Fine Fusion Network for Robust Remote Sensing Visual Question Answering Floodnet: A high resolution aerial imagery dataset for post flood scene understand- ing

Reference 16

Resolution
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Source-reported events for the cited work

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Observation 46c2dcf0-1555-458e-b6fa-2c09717f6122 · outbound

This paper cites Category-oriented localization distillation for sar object detection and a unified benchmark.

Text-Guided Coarse-to-Fine Fusion Network for Robust Remote Sensing Visual Question Answering Category-oriented localization distillation for sar object detection and a unified benchmark

Reference 17

Resolution
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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 dfc744e3-2654-4d89-afe7-e29af32221af · outbound

This paper cites an unresolved cited work.

Text-Guided Coarse-to-Fine Fusion Network for Robust Remote Sensing Visual Question Answering Unresolved cited work

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 d46c1292-833c-4c7d-b740-0ad7a3cc39f1 · outbound

This paper cites Multimodal classification of remote sensing images: A review and future directions.Proceedings of the IEEE, 103:1560–1584, 2015.

Text-Guided Coarse-to-Fine Fusion Network for Robust Remote Sensing Visual Question Answering Multimodal classification of remote sensing images: A review and future directions.Proceedings of the IEEE, 103:1560–1584, 2015

Reference 19

Resolution
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 bdf1ac78-3b9c-4848-bd12-a46a766bd61a · outbound

This paper cites Data fusion and remote sensing: An ever-growing relationship.

Text-Guided Coarse-to-Fine Fusion Network for Robust Remote Sensing Visual Question Answering Data fusion and remote sensing: An ever-growing relationship

Reference 20

Resolution
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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 24b08f9f-7263-4c1d-8834-4d145c9b78be · outbound

This paper cites Multitemporal very high resolution from space: Outcome ofthe2016ieeegrssdatafusioncontest.

Text-Guided Coarse-to-Fine Fusion Network for Robust Remote Sensing Visual Question Answering Multitemporal very high resolution from space: Outcome ofthe2016ieeegrssdatafusioncontest

Reference 21

Resolution
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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 b15da479-029d-4dc4-ade0-4234e2227d10 · outbound

This paper cites an unresolved cited work.

Text-Guided Coarse-to-Fine Fusion Network for Robust Remote Sensing Visual Question Answering Unresolved cited work

Reference 22

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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 c9933815-6bc1-46f2-8e60-d35dc41f7992 · outbound

This paper cites InternationalJournalofAppliedEarthObservationand Geoinformation, 109:102769, 2022.

Text-Guided Coarse-to-Fine Fusion Network for Robust Remote Sensing Visual Question Answering InternationalJournalofAppliedEarthObservationand Geoinformation, 109:102769, 2022

Reference 23

Resolution
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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 b3db5d12-d6b3-4229-bc1e-365d6443abdd · outbound

This paper cites Unsupervised domain adaptationbasedonprogressivetransferforshipdetection: Fromoptical to sar images.IEEE Transactions on Geoscience and Remote Sensing, 60:1–17, 2022.

Text-Guided Coarse-to-Fine Fusion Network for Robust Remote Sensing Visual Question Answering Unsupervised domain adaptationbasedonprogressivetransferforshipdetection: Fromoptical to sar images.IEEE Transactions on Geoscience and Remote Sensing, 60:1–17, 2022

Reference 24

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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 d097bdf2-120d-46af-be0b-16cf2a5ca650 · outbound

This paper cites Askyourneu- rons: A neural-based approach to answering questions about images.

Text-Guided Coarse-to-Fine Fusion Network for Robust Remote Sensing Visual Question Answering Askyourneu- rons: A neural-based approach to answering questions about images

Reference 25

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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 e06a810c-c9ca-47d3-9c3f-a6c72bba2682 · outbound

This paper cites Are you talking to a machine? dataset and methods for mul- tilingual image question.

Text-Guided Coarse-to-Fine Fusion Network for Robust Remote Sensing Visual Question Answering Are you talking to a machine? dataset and methods for mul- tilingual image question

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 0a7a1784-f0f7-4a02-8a85-07782f5cebcf · outbound

This paper cites Attention is all you need.Advances in neural information processing systems, 30, 2017.

Text-Guided Coarse-to-Fine Fusion Network for Robust Remote Sensing Visual Question Answering Attention is all you need.Advances in neural information processing systems, 30, 2017

Reference 27

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Source-reported events for the cited work

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Observation 806430b8-8801-4db7-b78e-da4c99367e32 · outbound

This paper cites Where to look: Focus regions for visual question answering.

Text-Guided Coarse-to-Fine Fusion Network for Robust Remote Sensing Visual Question Answering Where to look: Focus regions for visual question answering

Reference 28

Resolution
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.

source=pdf_text observed=2026-08-12T13:59:26.581350Z digest=sha256:2aa0e0e0ea71912561797044e37ccbb1a22417a4d884bda94f9db50eea9dad6d

Observation fba079e0-5d49-4fb0-8c83-5b9dca03953f · outbound

This paper cites Deepmodular co-attention networks for visual question answering.

Text-Guided Coarse-to-Fine Fusion Network for Robust Remote Sensing Visual Question Answering Deepmodular co-attention networks for visual question answering

Reference 29

Resolution
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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 0bb39779-06a4-4b32-8249-778652e0c5d6 · outbound

This paper cites Multi-Grained Vision Language Pre-Training: Aligning Texts with Visual Concepts.

Text-Guided Coarse-to-Fine Fusion Network for Robust Remote Sensing Visual Question Answering Multi-Grained Vision Language Pre-Training: Aligning Texts with Visual Concepts

Reference 30

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Source-reported events for the cited work

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Observation 7aa2cd06-5d97-4abb-b1c6-b1b24690ec9c · outbound

This paper cites Explicit Knowledge-based Reasoning for Visual Question Answering.

Text-Guided Coarse-to-Fine Fusion Network for Robust Remote Sensing Visual Question Answering Explicit Knowledge-based Reasoning for Visual Question Answering

Reference 31

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Source-reported events for the cited work

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Observation c7c12729-6a99-4acb-9a97-640f2682048e · outbound

This paper cites Ask me anything: Free-form visual question answer- ing based on knowledge from external sources.

Text-Guided Coarse-to-Fine Fusion Network for Robust Remote Sensing Visual Question Answering Ask me anything: Free-form visual question answer- ing based on knowledge from external sources

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:59:26.842335Z

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=2026-08-12T13:59:26.596937Z digest=sha256:549554c7a322f063957ce2ec496cccc37d6e3a9e961a93d220d49c6de3f18004

Observation 7e22169b-dbb1-4cf5-a3f4-dec09f731ea3 · outbound

This paper cites Learning Transferable Visual Models From Natural Language Supervision.

Text-Guided Coarse-to-Fine Fusion Network for Robust Remote Sensing Visual Question Answering Learning Transferable Visual Models From Natural Language Supervision

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-12T13:59:26.600807Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T13:59:26.600807Z digest=sha256:c661976ccf09ede74f9705ba94438eb0e51bac778105f0ec246a340a2e9e5706

Observation ee52684b-590f-4f26-8039-9e6ce968a85e · outbound

This paper cites Imagenetclas- sification with deep convolutional neural networks.Advances in neural information processing systems, 25, 2012.

Text-Guided Coarse-to-Fine Fusion Network for Robust Remote Sensing Visual Question Answering Imagenetclas- sification with deep convolutional neural networks.Advances in neural information processing systems, 25, 2012

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:59:26.831434Z

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 ccb0b86e-6da5-45d3-9b54-8fd739d3129e · outbound

This paper cites Gen- erative adversarial networks.Communications of the ACM, pages 139– 144, 2020.

Text-Guided Coarse-to-Fine Fusion Network for Robust Remote Sensing Visual Question Answering Gen- erative adversarial networks.Communications of the ACM, pages 139– 144, 2020

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:59:26.819984Z

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=2026-08-12T13:59:26.608278Z digest=sha256:a9960e45d171c98ffb8c3a44a9ba053c2b1b752ca15ac23033784675cfeeb448

Observation 022d0ea6-579c-4529-8647-d65ed32ab5ab · outbound

This paper cites an unresolved cited work.

Text-Guided Coarse-to-Fine Fusion Network for Robust Remote Sensing Visual Question Answering Unresolved cited work

Reference 36

Resolution
unresolved
raw_fallback, observed 2026-08-12T13:59:26.808152Z

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 2c353c6b-099f-48c9-95d0-799bb831f9c3 · outbound

This paper cites ISPRS Journal of Photogrammetry and Remote Sensing, 158:11–22, 2019.

Text-Guided Coarse-to-Fine Fusion Network for Robust Remote Sensing Visual Question Answering ISPRS Journal of Photogrammetry and Remote Sensing, 158:11–22, 2019

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:59:26.796996Z

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=2026-08-12T13:59:26.617280Z digest=sha256:41d9a694192715a3c528c25c633fdab15b7b50af67cc44998faf5214ebd1f7f9

Observation 9662e955-2a56-434f-bd12-c0eb3848599d · outbound

This paper cites Multi-temporal sentinel-1 and-2 data fu- sion for optical image simulation.ISPRS International Journal of Geo- Information, 7:389, 2018.

Text-Guided Coarse-to-Fine Fusion Network for Robust Remote Sensing Visual Question Answering Multi-temporal sentinel-1 and-2 data fu- sion for optical image simulation.ISPRS International Journal of Geo- Information, 7:389, 2018

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:59:26.785404Z

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=2026-08-12T13:59:26.620899Z digest=sha256:19298e8545b4cf036a48b9ccd3b502dfd043ad9150ab98524638f504c8fee7d2

Observation e81e87f3-8f74-48df-a21d-6d385096275c · outbound

This paper cites Cloud removal with fusion of sar and optical images by deep learning.

Text-Guided Coarse-to-Fine Fusion Network for Robust Remote Sensing Visual Question Answering Cloud removal with fusion of sar and optical images by deep learning

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:59:26.772133Z

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=2026-08-12T13:59:26.624599Z digest=sha256:0870b20300ca405c2e4d0ca04674316b759e93d08f70f81b12f07c4d8b3749c9

Observation 5230b05e-2201-4670-9269-def9cf46002a · outbound

This paper cites an unresolved cited work.

Text-Guided Coarse-to-Fine Fusion Network for Robust Remote Sensing Visual Question Answering Unresolved cited work

Reference 40

Resolution
unresolved
raw_fallback, observed 2026-08-12T13:59:26.759625Z

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=2026-08-12T13:59:26.629415Z digest=sha256:fbb4e69e55ac28a590cbe24ea5f5cfa5e24ca98f6cd08244329733e8e7a6a7ad

Observation 203dce97-df96-41b5-a7c0-46ed36a80175 · outbound

This paper cites A conditional generative adversarial network to fuse sar and multispectral optical data for cloud removal from sentinel-2 images.

Text-Guided Coarse-to-Fine Fusion Network for Robust Remote Sensing Visual Question Answering A conditional generative adversarial network to fuse sar and multispectral optical data for cloud removal from sentinel-2 images

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:59:26.748359Z

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=2026-08-12T13:59:26.634062Z digest=sha256:ab25774a2d3bc1717c17ff9c7d091d55fdcf626a8cf94d77c26fa0fd5357d52a

Observation 4b3ac976-be08-409f-b5f2-d58c71552462 · outbound

This paper cites The QXS-SAROPT Dataset for Deep Learning in SAR-Optical Data Fusion.

Text-Guided Coarse-to-Fine Fusion Network for Robust Remote Sensing Visual Question Answering The QXS-SAROPT Dataset for Deep Learning in SAR-Optical Data Fusion

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-12T13:59:26.637809Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T13:59:26.637809Z digest=sha256:022a4ee9fbadc9038b9f54792e1926719658483a9880b7a190d630dbac66c850

Observation 310596b4-5208-40ba-a63f-7fc6ae50a325 · outbound

This paper cites Trar: Routingtheatten- tion spans in transformer for visual question answering.

Text-Guided Coarse-to-Fine Fusion Network for Robust Remote Sensing Visual Question Answering Trar: Routingtheatten- tion spans in transformer for visual question answering

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:59:26.736269Z

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=2026-08-12T13:59:26.641420Z digest=sha256:62b67153eceb1c7d52915f4d9668c10d577d4d2245638f5261614b7972868f9b

Observation a313ab84-f333-4913-ba5e-60129cc56f29 · outbound

This paper cites Rsadapter: Adapting multimodal modelsforremotesensingvisualquestionanswering.

Text-Guided Coarse-to-Fine Fusion Network for Robust Remote Sensing Visual Question Answering Rsadapter: Adapting multimodal modelsforremotesensingvisualquestionanswering

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:59:26.723414Z

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=2026-08-12T13:59:26.645260Z digest=sha256:fc11b3a53d517337c4afa3160842b304ca6dfda1a2b190e3975d0d437415a95a

Pith citing papers

Observation aa4d9c6a-15f4-4bf5-9117-8c6aa52eac8a · inbound

SAR Strikes Back: A New Hope for RSVQA cites this paper.

SAR Strikes Back: A New Hope for RSVQA Text-Guided Coarse-to-Fine Fusion Network for Robust Remote Sensing Visual Question Answering

Reference 19

Resolution
verified exact
local_arxiv, observed 2026-08-10T20:35:01.182630Z

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=2026-08-10T20:35:00.960635Z digest=sha256:f1cde9f38da04560e2eacf021a6cbdb0f887b074e116759bcd2e3a39917f40c8