Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
OmniGeo: Towards a Multimodal Large Language Models for Geospatial Artificial Intelligence
As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2503.16326.
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 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T10:30:17.905841Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-16T18:31:10.874457Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
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 d3bf2d5d-84c2-4123-879f-89b4156e35f8 · inbound
Interpretable Multimodal Framework for Human-Centered Street Assessment: Integrating Visual-Language Models for Perceptual Urban Diagnostics cites this paper.
Interpretable Multimodal Framework for Human-Centered Street Assessment: Integrating Visual-Language Models for Perceptual Urban Diagnostics OmniGeo: Towards a Multimodal Large Language Models for Geospatial Artificial Intelligence
Reference 40
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T10:30:17.905841Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 518df257-ed5c-4733-a294-2d1b20b81a81 · inbound
Agentic AI in Remote Sensing: Foundations, Taxonomy, and Emerging Systems cites this paper.
Agentic AI in Remote Sensing: Foundations, Taxonomy, and Emerging Systems OmniGeo: Towards a Multimodal Large Language Models for Geospatial Artificial Intelligence
Reference 148
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T18:31:10.876769Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 42623fef-53e6-461f-94e6-b5306218a2a6 · inbound
Vision-and-Language Navigation for UAVs: Progress, Challenges, and a Research Roadmap cites this paper.
Vision-and-Language Navigation for UAVs: Progress, Challenges, and a Research Roadmap OmniGeo: Towards a Multimodal Large Language Models for Geospatial Artificial Intelligence
Reference 146
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T14:10:29.719207Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 63be37ae-4b12-4a11-8941-0b48c1972423 · inbound
Agentic AI for Remote Sensing: Technical Challenges and Research Directions cites this paper.
Agentic AI for Remote Sensing: Technical Challenges and Research Directions OmniGeo: Towards a Multimodal Large Language Models for Geospatial Artificial Intelligence
Reference 136
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T21:46:30.505832Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 0906efc6-ba6a-4165-8270-a6fa79f510c0 · inbound
Agentic AI for Remote Sensing: Technical Challenges and Research Directions cites this paper.
Agentic AI for Remote Sensing: Technical Challenges and Research Directions OmniGeo: Towards a Multimodal Large Language Models for Geospatial Artificial Intelligence
Reference 136
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T20:59:27.562787Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.