Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
GeoLLaVA: Efficient Fine-Tuned Vision-Language Models for Temporal Change Detection in Remote Sensing
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2410.19552.
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 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T22:22:40.114061Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-03T05:27:40.000390Z
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 cddd690e-fa14-49b9-a2bc-321b147da3a4 · inbound
Remote Sensing Large Vision-Language Model: Semantic-augmented Multi-level Alignment and Semantic-aware Expert Modeling cites this paper.
Remote Sensing Large Vision-Language Model: Semantic-augmented Multi-level Alignment and Semantic-aware Expert Modeling GeoLLaVA: Efficient Fine-Tuned Vision-Language Models for Temporal Change Detection in Remote Sensing
Reference 53
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T22:22:40.114061Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 25579411-a4fa-4a53-8687-69c83adccef3 · inbound
Animation Needs Attention: A Holistic Approach to Slides Animation Comprehension with Visual-Language Models cites this paper.
Animation Needs Attention: A Holistic Approach to Slides Animation Comprehension with Visual-Language Models GeoLLaVA: Efficient Fine-Tuned Vision-Language Models for Temporal Change Detection in Remote Sensing
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T20:04:11.787732Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 402e5d75-ed0f-4680-a137-99357aa52267 · inbound
VectorLLM: Human-like Extraction of Structured Building Contours vis Multimodal LLMs cites this paper.
VectorLLM: Human-like Extraction of Structured Building Contours vis Multimodal LLMs GeoLLaVA: Efficient Fine-Tuned Vision-Language Models for Temporal Change Detection in Remote Sensing
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T19:46:12.158072Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1eb793fa-ae0e-4c95-9ea8-928138022831 · 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 GeoLLaVA: Efficient Fine-Tuned Vision-Language Models for Temporal Change Detection in Remote Sensing
Reference 28
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T23:16:54.077057Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation eab70322-2d20-4c19-8643-a24f106d5fd7 · inbound
HM-Bench: A Comprehensive Benchmark for Multimodal Large Language Models in Hyperspectral Remote Sensing cites this paper.
HM-Bench: A Comprehensive Benchmark for Multimodal Large Language Models in Hyperspectral Remote Sensing GeoLLaVA: Efficient Fine-Tuned Vision-Language Models for Temporal Change Detection in Remote Sensing
Reference 12
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T05:30:57.820546Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 21e2f93d-e85a-49f8-ae62-313af166f9de · inbound
A Multi-Agent Feedback System for Detecting and Describing News Events in Satellite Imagery cites this paper.
A Multi-Agent Feedback System for Detecting and Describing News Events in Satellite Imagery GeoLLaVA: Efficient Fine-Tuned Vision-Language Models for Temporal Change Detection in Remote Sensing
Reference 2
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T11:21:01.037102Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 300a3151-1c53-4c60-bbf2-9c673ce51cc4 · inbound
HiSem: Hierarchical Semantic Disentangling for Remote Sensing Image Change Captioning cites this paper.
HiSem: Hierarchical Semantic Disentangling for Remote Sensing Image Change Captioning GeoLLaVA: Efficient Fine-Tuned Vision-Language Models for Temporal Change Detection in Remote Sensing
Reference 65
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-01T14:25:46.727444Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 1c4c35a3-592e-479f-b4e3-23a7cf71ce3e · 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 GeoLLaVA: Efficient Fine-Tuned Vision-Language Models for Temporal Change Detection in Remote Sensing
Reference 75
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-03T05:27:40.002549Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.