Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
ImageRAG: Enhancing Ultra High Resolution Remote Sensing Imagery Analysis with ImageRAG
As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2411.07688.
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 2026-08-14T06:32:32.682623+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T15:07:49.854854Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-11T10:26:01.345050Z
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 f49fd37f-6bad-489c-8c60-bfb253ed0b93 · inbound
Deep Learning-Driven Ultra-High-Definition Image Restoration: A Survey cites this paper.
Deep Learning-Driven Ultra-High-Definition Image Restoration: A Survey ImageRAG: Enhancing Ultra High Resolution Remote Sensing Imagery Analysis with ImageRAG
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:07:49.854854Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 63f2b567-c4f1-44ba-a0af-5991e7c4ee71 · inbound
Semantic-Geometric Dual Compression: Training-Free Visual Token Reduction for Ultra-High-Resolution Remote Sensing Understanding cites this paper.
Semantic-Geometric Dual Compression: Training-Free Visual Token Reduction for Ultra-High-Resolution Remote Sensing Understanding ImageRAG: Enhancing Ultra High Resolution Remote Sensing Imagery Analysis with ImageRAG
Reference 60
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T10:26:01.351825Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 2617ef46-05e4-44e7-9fd5-8a79636610b5 · inbound
RSRCC: A Remote Sensing Regional Change Comprehension Benchmark Constructed via Retrieval-Augmented Best-of-N Ranking cites this paper.
RSRCC: A Remote Sensing Regional Change Comprehension Benchmark Constructed via Retrieval-Augmented Best-of-N Ranking ImageRAG: Enhancing Ultra High Resolution Remote Sensing Imagery Analysis with ImageRAG
Reference 46
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T00:24:47.488111Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.