Paper Citation Record · LEDGER

SAR Strikes Back: A New Hope for RSVQA

As of 17 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 0 inbound Pith citation observations for arXiv:2501.08131.

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

pith.paper-citation-record.v1
2501.08131 v2

Coverage vector

measured 46 of 46 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T20:35:01.099104Z

measured 46 of 46 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+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

46 of 46 outbound references displayed

verified exact1
verified fuzzy41
unresolved4
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation eb65e6dd-e4f2-4320-af04-0bfb42ef05b7 · outbound

This paper cites Improved marine debris detection in satellite imagery with automatic refinement of coarse hand annotations,.

SAR Strikes Back: A New Hope for RSVQA Improved marine debris detection in satellite imagery with automatic refinement of coarse hand annotations,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:35:01.873499Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 7c9c875e-43bf-4132-a359-ee6084382b56 · outbound

This paper cites Half a percent of labels is enough: Efficient animal detection in UA V imagery using deep CNNs and active learning,.

SAR Strikes Back: A New Hope for RSVQA Half a percent of labels is enough: Efficient animal detection in UA V imagery using deep CNNs and active learning,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:35:01.858053Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 1296264c-e32e-40ca-bc61-b5ade80f2f97 · outbound

This paper cites Domain adaptation for mapping lczs in sub-saharan africa with remote sensing: A comprehensive approach to health data analysis,.

SAR Strikes Back: A New Hope for RSVQA Domain adaptation for mapping lczs in sub-saharan africa with remote sensing: A comprehensive approach to health data analysis,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:35:01.844063Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 7650b50b-3eea-44d2-8a4f-f6829013b517 · outbound

This paper cites Burning skies: The hid- den toll of big oil’s toxic flames https://eiforum.org/ burning-skies-the-hidden-of-big-oils-toxic-flames/,.

SAR Strikes Back: A New Hope for RSVQA Burning skies: The hid- den toll of big oil’s toxic flames https://eiforum.org/ burning-skies-the-hidden-of-big-oils-toxic-flames/,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:35:01.828459Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 9dfdedb2-4c31-4c7c-aa41-8063d5da4d5b · outbound

This paper cites RSVQA: Visual question answering for remote sensing data,.

SAR Strikes Back: A New Hope for RSVQA RSVQA: Visual question answering for remote sensing data,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:35:01.812237Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 646ecda8-06e2-4106-90b3-5f3d51c35ae6 · outbound

This paper cites VQA: Visual question answering,.

SAR Strikes Back: A New Hope for RSVQA VQA: Visual question answering,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:35:01.795363Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation b5a52601-0103-4625-8a86-568ed846817b · outbound

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

SAR Strikes Back: A New Hope for RSVQA Prompt- RSVQA: Prompting visual context to a language model for remote sensing visual question answering,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:35:01.778773Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 6498e578-75a4-407d-90a9-522dbbfc798e · outbound

This paper cites Can SAR improve RSVQA performance?.

SAR Strikes Back: A New Hope for RSVQA Can SAR improve RSVQA performance?

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:35:01.763222Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 2d429574-b579-442b-b538-302cf015bc8a · outbound

This paper cites Deep learning meets SAR: Concepts, models, pitfalls, and perspectives,.

SAR Strikes Back: A New Hope for RSVQA Deep learning meets SAR: Concepts, models, pitfalls, and perspectives,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:35:01.747595Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation fadaeafe-49e4-4627-8ef9-7d7419626c4a · outbound

This paper cites A review of the application of optical and radar remote sensing data fusion to land use mapping and monitoring,.

SAR Strikes Back: A New Hope for RSVQA A review of the application of optical and radar remote sensing data fusion to land use mapping and monitoring,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:35:01.731505Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c2cf4da9-1514-4d49-98ac-1d0df3544abc · outbound

This paper cites Language transformers for remote sensing visual question answering,.

SAR Strikes Back: A New Hope for RSVQA Language transformers for remote sensing visual question answering,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:35:01.715132Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d6d9d8ce-49ea-48c3-b52d-ed3f341763f5 · outbound

This paper cites How to find a good image-text embedding for remote sensing visual question answering?.

SAR Strikes Back: A New Hope for RSVQA How to find a good image-text embedding for remote sensing visual question answering?

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:35:01.698947Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 3055524e-631f-440e-a2f9-5737af4d1a7a · outbound

This paper cites Segmentation-guided attention for visual question answering from remote sensing images,.

SAR Strikes Back: A New Hope for RSVQA Segmentation-guided attention for visual question answering from remote sensing images,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:35:01.682124Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 417ead36-9b4c-471c-b0e5-3aff15ab4071 · outbound

This paper cites Multilingual augmentation for robust visual question answering in remote sensing images,.

SAR Strikes Back: A New Hope for RSVQA Multilingual augmentation for robust visual question answering in remote sensing images,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:35:01.666568Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 5a9819ea-bf39-4add-8db2-ec784420fc73 · outbound

This paper cites Multi-task prompt-RSVQA to explicitly count objects on aerial images.

SAR Strikes Back: A New Hope for RSVQA Multi-task prompt-RSVQA to explicitly count objects on aerial images

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:35:01.650746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a1eb0cd3-97c9-4b88-a45b-8dc6edcaef13 · outbound

This paper cites Remote Sensing ChatGPT: Solving Remote Sensing Tasks with ChatGPT and Visual Models.

SAR Strikes Back: A New Hope for RSVQA Remote Sensing ChatGPT: Solving Remote Sensing Tasks with ChatGPT and Visual Models

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-10T20:35:00.945334Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ac0dccd7-3a3b-4313-899b-803e87e80d62 · outbound

This paper cites Visual Question Answering for Wishart H-Alpha Classification of Polarimetric SAR Images,.

SAR Strikes Back: A New Hope for RSVQA Visual Question Answering for Wishart H-Alpha Classification of Polarimetric SAR Images,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:35:01.634980Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 7147f7e3-0831-4917-8103-c42c47b5b19c · outbound

This paper cites A Visual Question Answering Method for SAR Ship: Breaking the Requirement for Multimodal Dataset Construction and Model Fine-Tuning.

SAR Strikes Back: A New Hope for RSVQA A Visual Question Answering Method for SAR Ship: Breaking the Requirement for Multimodal Dataset Construction and Model Fine-Tuning

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-10T20:35:00.955412Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

This paper cites Text-Guided Coarse-to-Fine Fusion Network for Robust Remote Sensing Visual Question Answering.

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 2026-08-17T06:30:58.91139+00:00.

Observation f6e3fcfe-d1f5-47d5-bad6-09e1213c895c · outbound

This paper cites SAR target recognition based on deep learning,.

SAR Strikes Back: A New Hope for RSVQA SAR target recognition based on deep learning,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:35:01.619265Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 23771fce-1364-4bea-9224-57b36f841394 · outbound

This paper cites SAR image despeckling through convolutional neural networks,.

SAR Strikes Back: A New Hope for RSVQA SAR image despeckling through convolutional neural networks,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:35:01.603315Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c6d152c4-ab37-4831-85c7-4c7343d07fa7 · outbound

This paper cites Towards global volcano moni- toring using multisensor sentinel missions and artificial intelligence: The mounts monitoring system,.

SAR Strikes Back: A New Hope for RSVQA Towards global volcano moni- toring using multisensor sentinel missions and artificial intelligence: The mounts monitoring system,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:35:01.587831Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 03642f48-a80f-48bb-bacd-bde5f9ca2a23 · outbound

This paper cites Automatic sim- ulation of SAR images: comparing a deep-learning based method to a hybrid method,.

SAR Strikes Back: A New Hope for RSVQA Automatic sim- ulation of SAR images: comparing a deep-learning based method to a hybrid method,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:35:01.572793Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 167402b7-49a9-4643-817d-c7bcdc513477 · outbound

This paper cites Exploring data and models in SAR ship image captioning,.

SAR Strikes Back: A New Hope for RSVQA Exploring data and models in SAR ship image captioning,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:35:01.557725Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 97ae0396-f204-4561-a85d-20e4ef12d3dd · outbound

This paper cites An im- proved SAR ship classification method using text-to-image generation- based data augmentation and squeeze and excitation,.

SAR Strikes Back: A New Hope for RSVQA An im- proved SAR ship classification method using text-to-image generation- based data augmentation and squeeze and excitation,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:35:01.541642Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 698aa649-e1d7-4029-a676-c47afd4250e9 · outbound

This paper cites Learning capsules for SAR target recognition,.

SAR Strikes Back: A New Hope for RSVQA Learning capsules for SAR target recognition,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:35:01.525313Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 54183098-a276-4973-b13c-ba9bde7f12c8 · outbound

This paper cites A deep learning framework for matching of SAR and optical imagery,.

SAR Strikes Back: A New Hope for RSVQA A deep learning framework for matching of SAR and optical imagery,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:35:01.508662Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f2c7157c-2275-462b-b4a8-2dea078d6ed6 · outbound

This paper cites A theoretical and practical survey of image fusion methods for multispectral pansharpening,.

SAR Strikes Back: A New Hope for RSVQA A theoretical and practical survey of image fusion methods for multispectral pansharpening,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:35:01.492330Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation b2c5712a-86e1-48b7-89f8-95147d05c154 · outbound

This paper cites Urban mapping using coarse SAR and optical data: Outcome of the 2007 GRSS data fusion contest,.

SAR Strikes Back: A New Hope for RSVQA Urban mapping using coarse SAR and optical data: Outcome of the 2007 GRSS data fusion contest,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:35:01.476052Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation adf8ab69-2506-4b9c-a0f0-9ddf0e0e2d29 · outbound

This paper cites Pedestrian detection based on deep fusion network using feature correlation,.

SAR Strikes Back: A New Hope for RSVQA Pedestrian detection based on deep fusion network using feature correlation,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:35:01.460432Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation b34335e9-2539-4c8c-96e5-48c805dc2a2e · outbound

This paper cites Decision fusion for the classification of hyperspectral data: Outcome of the 2008 GRS-S data fusion contest,.

SAR Strikes Back: A New Hope for RSVQA Decision fusion for the classification of hyperspectral data: Outcome of the 2008 GRS-S data fusion contest,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:35:01.444718Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 606269b6-56f3-4f56-84b0-670d5dc68429 · outbound

This paper cites Early vs late fusion in multimodal convolutional neural networks,.

SAR Strikes Back: A New Hope for RSVQA Early vs late fusion in multimodal convolutional neural networks,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:35:01.428658Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 946bd72d-6c1f-4751-8d45-c50d4ff83883 · outbound

This paper cites Multispectral deep neural networks for pedestrian detection,.

SAR Strikes Back: A New Hope for RSVQA Multispectral deep neural networks for pedestrian detection,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:35:01.412269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c07b8c6b-fe95-41fb-ba6d-ab33f403cae5 · outbound

This paper cites Multispectral pedestrian detection using deep fusion convolutional neural networks.

SAR Strikes Back: A New Hope for RSVQA Multispectral pedestrian detection using deep fusion convolutional neural networks

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:35:01.394465Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 288119cd-fdce-4908-88b3-fc4d9063f3e4 · outbound

This paper cites Challenges and opportunities of multimodality and data fusion in remote sensing,.

SAR Strikes Back: A New Hope for RSVQA Challenges and opportunities of multimodality and data fusion in remote sensing,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:35:01.378048Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e969fee8-6739-4d09-a0cc-c20576ea5e05 · outbound

This paper cites Earthgpt: A universal multi-modal large language model for multi-sensor image comprehension in remote sensing domain,.

SAR Strikes Back: A New Hope for RSVQA Earthgpt: A universal multi-modal large language model for multi-sensor image comprehension in remote sensing domain,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:35:01.362047Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 09f5470c-87a6-4375-b464-7840adb3bc49 · outbound

This paper cites BigEarthNet: A large-scale benchmark archive for remote sensing image understanding [dataset],.

SAR Strikes Back: A New Hope for RSVQA BigEarthNet: A large-scale benchmark archive for remote sensing image understanding [dataset],

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:35:01.346470Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d997f881-ac4a-40e5-8080-063f3a779b99 · outbound

This paper cites BigEarthNet-MM: A large- scale, multimodal, multilabel benchmark archive for remote sensing image classification and retrieval [dataset],.

SAR Strikes Back: A New Hope for RSVQA BigEarthNet-MM: A large- scale, multimodal, multilabel benchmark archive for remote sensing image classification and retrieval [dataset],

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:35:01.331121Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation df5f9692-cf07-4539-81b2-3a29faa6fa1e · outbound

This paper cites Quantitative comparison of classification capability: Fully polarimetric versus dual and single- polarization SAR,.

SAR Strikes Back: A New Hope for RSVQA Quantitative comparison of classification capability: Fully polarimetric versus dual and single- polarization SAR,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:35:01.315748Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation fd849c76-27a1-4756-8f43-aa70e4c3ea76 · outbound

This paper cites Integration of multitemporal/polarization c- band SAR data sets for land-cover classification,.

SAR Strikes Back: A New Hope for RSVQA Integration of multitemporal/polarization c- band SAR data sets for land-cover classification,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:35:01.298408Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a73d3f15-ab6c-463b-9a15-a403f644f83b · outbound

This paper cites The curse of language biases in remote sensing VQA: the role of spatial attributes, language diversity, and the need for clear evaluation.

SAR Strikes Back: A New Hope for RSVQA The curse of language biases in remote sensing VQA: the role of spatial attributes, language diversity, and the need for clear evaluation

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-10T20:35:01.070902Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 41f1b0a1-99cb-4d54-a906-6fdaf80c6dce · outbound

This paper cites Space: Structured compression and sharing of representational space for continual learning,.

SAR Strikes Back: A New Hope for RSVQA Space: Structured compression and sharing of representational space for continual learning,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:35:01.282729Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 11ae5bce-a49e-4122-92eb-5512141f480d · outbound

This paper cites Wetland monitoring using sar data: A meta- analysis and comprehensive review,.

SAR Strikes Back: A New Hope for RSVQA Wetland monitoring using sar data: A meta- analysis and comprehensive review,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:35:01.266982Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 37b334b3-9fee-44df-a8c7-324ce3d1b152 · outbound

This paper cites Integrating sar and optical remote sensing for conservation-targeted wetlands mapping,.

SAR Strikes Back: A New Hope for RSVQA Integrating sar and optical remote sensing for conservation-targeted wetlands mapping,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:35:01.251006Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation baae4866-3256-48df-996e-1b5ad7c4a3b6 · outbound

This paper cites VisualBERT: A Simple and Performant Baseline for Vision and Language.

SAR Strikes Back: A New Hope for RSVQA VisualBERT: A Simple and Performant Baseline for Vision and Language

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-10T20:35:01.091922Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1fd86456-1655-4bf1-bf95-06b4820f6204 · outbound

This paper cites Multi-modal fusion transformer for visual question answering in remote sensing,.

SAR Strikes Back: A New Hope for RSVQA Multi-modal fusion transformer for visual question answering in remote sensing,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:35:01.235172Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Pith citing papers

No inbound Pith citation observations are available.