Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
DOFA-CLIP: Multimodal Vision-Language Foundation Models for Earth Observation
As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2503.06312.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-07-10T18:58:32.854964Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-07-10T19:07:35.356549Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
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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 591dff69-1037-49f5-92ff-d476c0bd1884 · inbound
Agentic AI for Remote Sensing: Technical Challenges and Research Directions cites this paper.
Agentic AI for Remote Sensing: Technical Challenges and Research Directions DOFA-CLIP: Multimodal Vision-Language Foundation Models for Earth Observation
Reference 129
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T21:46:28.598350Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 02d7544c-640c-4f46-8cfe-63a54f3a3527 · inbound
Agentic AI for Remote Sensing: Technical Challenges and Research Directions cites this paper.
Agentic AI for Remote Sensing: Technical Challenges and Research Directions DOFA-CLIP: Multimodal Vision-Language Foundation Models for Earth Observation
Reference 129
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T20:59:27.708342Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 6a7fcc82-a531-48e9-870d-778af0dd1f36 · inbound
TRAJGANR: Trajectory-Centric Urban Multimodal Learning via Geospatially Aligned Neural Representations cites this paper.
TRAJGANR: Trajectory-Centric Urban Multimodal Learning via Geospatially Aligned Neural Representations DOFA-CLIP: Multimodal Vision-Language Foundation Models for Earth Observation
Reference 54
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T04:20:59.395954Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 827d56f2-fcb4-423d-bbd9-ea1005193987 · inbound
Earth Science Foundation Models: From Perception to Reasoning and Discovery cites this paper.
Earth Science Foundation Models: From Perception to Reasoning and Discovery DOFA-CLIP: Multimodal Vision-Language Foundation Models for Earth Observation
Reference 41
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T22:08:03.674103Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 365b50f6-2c49-4b7b-806f-5832998b6a4a · inbound
Earth Science Foundation Models: From Perception to Reasoning and Discovery cites this paper.
Earth Science Foundation Models: From Perception to Reasoning and Discovery DOFA-CLIP: Multimodal Vision-Language Foundation Models for Earth Observation
Reference 41
- Resolution
- verified exact
- arxiv_id, observed 2026-07-01T13:35:46.220132Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation e5c441da-20e8-4e0f-a391-79e8dbf5b186 · inbound
ELDOR: A Dataset and Benchmark for Illegal Gold Mining in the Amazon Rainforest cites this paper.
ELDOR: A Dataset and Benchmark for Illegal Gold Mining in the Amazon Rainforest DOFA-CLIP: Multimodal Vision-Language Foundation Models for Earth Observation
Reference 103
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T15:37:37.241551Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 27a3a62e-56da-4ee3-8ca9-97f136dae72a · inbound
Scalable and Trustworthy Earth Observation Foundation Models cites this paper.
Scalable and Trustworthy Earth Observation Foundation Models DOFA-CLIP: Multimodal Vision-Language Foundation Models for Earth Observation
Reference 22
- Resolution
- verified exact
- local_arxiv, observed 2026-07-10T19:07:35.358051Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.