Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
EarthMarker: A Visual Prompting Multi-modal Large Language Model for Remote Sensing
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2407.13596.
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 2026-08-07T12:30:32.685636Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-11T10:26:01.420644Z
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 21b7a483-93aa-4aa1-8821-9ec4b97b7df8 · inbound
Grid-LOGAT: Grid Based Local and Global Area Transcription for Video Question Answering cites this paper.
Grid-LOGAT: Grid Based Local and Global Area Transcription for Video Question Answering EarthMarker: A Visual Prompting Multi-modal Large Language Model for Remote Sensing
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:30:32.685636Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e5b11529-a876-47bc-afe7-58fcfbb95c0d · 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 EarthMarker: A Visual Prompting Multi-modal Large Language Model for Remote Sensing
Reference 52
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T22:22:40.050681Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cb0f6bdb-ae78-497e-8085-d4022ea2b322 · inbound
GeoProg3D: Compositional Visual Reasoning for City-Scale 3D Language Fields cites this paper.
GeoProg3D: Compositional Visual Reasoning for City-Scale 3D Language Fields EarthMarker: A Visual Prompting Multi-modal Large Language Model for Remote Sensing
Reference 88
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T21:49:47.792628Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation db20ab85-52b2-44d5-b71b-5f4ee6fe9da9 · 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 EarthMarker: A Visual Prompting Multi-modal Large Language Model for Remote Sensing
Reference 57
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T10:26:01.425718Z
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.