Paper Citation Record · LEDGER

The QXS-SAROPT Dataset for Deep Learning in SAR-Optical Data Fusion

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2103.08259.

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

pith.paper-citation-record.v1
2103.08259 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 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 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T15:10:34.009628Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T05:27:40.015402Z

Reference resolution

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External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation f364773e-bb7c-4fc4-a1d9-f34e40f29777 · inbound

C-DiffSET: Leveraging Latent Diffusion for SAR-to-EO Image Translation with Confidence-Guided Reliable Object Generation cites this paper.

C-DiffSET: Leveraging Latent Diffusion for SAR-to-EO Image Translation with Confidence-Guided Reliable Object Generation The QXS-SAROPT Dataset for Deep Learning in SAR-Optical Data Fusion

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-12T19:23:51.032055Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

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

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.

Observation 58a7ab77-5ede-4bbf-8a7b-4f91b458331c · inbound

SMART-Ship: A Comprehensive Synchronized Multi-modal Aligned Remote Sensing Targets Dataset and Benchmark for Berthed Ships Analysis cites this paper.

SMART-Ship: A Comprehensive Synchronized Multi-modal Aligned Remote Sensing Targets Dataset and Benchmark for Berthed Ships Analysis The QXS-SAROPT Dataset for Deep Learning in SAR-Optical Data Fusion

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-05-19T00:56:56.063855Z

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.

Observation 74c1d274-fb2d-4ab9-b0af-8db72d27a3fd · inbound

Annotation-Free Open-Vocabulary Segmentation for Remote-Sensing Images cites this paper.

Annotation-Free Open-Vocabulary Segmentation for Remote-Sensing Images The QXS-SAROPT Dataset for Deep Learning in SAR-Optical Data Fusion

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-05T16:41:45.641994Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 10838b48-9813-43f5-b2fa-972678af12bd · inbound

Better with Less: Tackling Heterogeneous Multi-Modal Image Joint Pretraining via Conditioned and Degraded Masked Autoencoder cites this paper.

Better with Less: Tackling Heterogeneous Multi-Modal Image Joint Pretraining via Conditioned and Degraded Masked Autoencoder The QXS-SAROPT Dataset for Deep Learning in SAR-Optical Data Fusion

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-05-10T06:56:47.445007Z

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.

Observation dc5b15e7-e762-4127-a3a0-c196fdaf40df · inbound

MetaEarth-MM: Unified Multimodal Remote Sensing Image Generation with Scene-centered Joint Modeling cites this paper.

MetaEarth-MM: Unified Multimodal Remote Sensing Image Generation with Scene-centered Joint Modeling The QXS-SAROPT Dataset for Deep Learning in SAR-Optical Data Fusion

Reference 78

Resolution: verified exact; arxiv_id, observed 2026-05-20T05:33:04.324595Z

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.

Observation 3ca92801-60bb-4127-af5f-b41cb8a51b7f · inbound

Earth-OneVision: Extending Remote Sensing Multimodal Large Language Models to More Sensor Modalities and Tasks cites this paper.

Earth-OneVision: Extending Remote Sensing Multimodal Large Language Models to More Sensor Modalities and Tasks The QXS-SAROPT Dataset for Deep Learning in SAR-Optical Data Fusion

Reference 55

Resolution: verified exact; arxiv_id, observed 2026-07-03T05:27:40.016995Z

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.

Observation 561caba2-2f87-4a17-acbc-76019804a130 · inbound

GeoCore-9B: Towards Geo-Aware Generative Foundation Models in Earth Observation cites this paper.

GeoCore-9B: Towards Geo-Aware Generative Foundation Models in Earth Observation The QXS-SAROPT Dataset for Deep Learning in SAR-Optical Data Fusion

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-15T15:10:34.009628Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation db31a074-42e1-48f3-b3be-f8b1b4adb78f · inbound

LoRetta: A Foundation Model and Extensive Dataset for Global-Scale Remote Sensing Dense Image Matching cites this paper.

LoRetta: A Foundation Model and Extensive Dataset for Global-Scale Remote Sensing Dense Image Matching The QXS-SAROPT Dataset for Deep Learning in SAR-Optical Data Fusion

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-15T14:48:18.236436Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.