Paper Citation Record · LEDGER

OmniGeo: Towards a Multimodal Large Language Models for Geospatial Artificial Intelligence

As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2503.16326.

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

pith.paper-citation-record.v1
2503.16326 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-03T06:30:56.289259+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-16T18:28:33.277442Z

measured 0 of 1 external citation measurements

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 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 2026-08-03T06:30:56.289259+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 2026-08-03T06:30:56.289259+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 2026-08-03T06:30:56.289259+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 2026-08-03T06:30:56.289259+00:00.