Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
GeoRSMLLM: A Multimodal Large Language Model for Vision-Language Tasks in Geoscience and Remote Sensing
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2503.12490.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-01T18:11:03.944636Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-18T23:16:54.042640Z
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 3e51104e-ce91-46b6-8958-0b3bb64ad06c · inbound
ChatENV: An Interactive Vision-Language Model for Sensor-Guided Environmental Monitoring and Scenario Simulation cites this paper.
ChatENV: An Interactive Vision-Language Model for Sensor-Guided Environmental Monitoring and Scenario Simulation GeoRSMLLM: A Multimodal Large Language Model for Vision-Language Tasks in Geoscience and Remote Sensing
Reference 4
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T23:16:54.046147Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation ca9d834e-11ea-4086-9d09-bcae8c4cda43 · inbound
Agentic AI in Remote Sensing: Foundations, Taxonomy, and Emerging Systems cites this paper.
Agentic AI in Remote Sensing: Foundations, Taxonomy, and Emerging Systems GeoRSMLLM: A Multimodal Large Language Model for Vision-Language Tasks in Geoscience and Remote Sensing
Reference 152
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T18:31:10.872841Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation d877845e-6fa4-467f-b047-b066ff0ab7c2 · inbound
Decoding the Delta: Unifying Remote Sensing Change Detection and Understanding with Multimodal Large Language Models cites this paper.
Decoding the Delta: Unifying Remote Sensing Change Detection and Understanding with Multimodal Large Language Models GeoRSMLLM: A Multimodal Large Language Model for Vision-Language Tasks in Geoscience and Remote Sensing
Reference 62
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T13:05:25.166451Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 0cd98b9a-d26e-4ea7-90ad-819a85d924ee · inbound
SkyVLaM: Multimodal Large Language Model for UAV Video Understanding in Remote Sensing cites this paper.
SkyVLaM: Multimodal Large Language Model for UAV Video Understanding in Remote Sensing GeoRSMLLM: A Multimodal Large Language Model for Vision-Language Tasks in Geoscience and Remote Sensing
Reference 47
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T18:11:03.944636Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.