Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Exploring a Fine-Grained Multiscale Method for Cross-Modal Remote Sensing Image Retrieval
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2204.09868.
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 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-08T10:14:30.161567Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-12T10:46:31.949402Z
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 8827234e-7c7a-47e6-abe5-f09d1766d56f · inbound
SARChat-Bench-2M: A Multi-Task Vision-Language Benchmark for SAR Image Interpretation cites this paper.
SARChat-Bench-2M: A Multi-Task Vision-Language Benchmark for SAR Image Interpretation Exploring a Fine-Grained Multiscale Method for Cross-Modal Remote Sensing Image Retrieval
Reference 2022
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T10:14:30.161567Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4911cca2-b81f-45e1-9d61-c6f362d666ac · 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 Exploring a Fine-Grained Multiscale Method for Cross-Modal Remote Sensing Image Retrieval
Reference 61
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T22:22:40.798399Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b37f7e74-1af2-4020-9195-a83a2d0ae509 · inbound
Enhancing Remote Sensing Vision-Language Models Through MLLM and LLM-Based High-Quality Image-Text Dataset Generation cites this paper.
Enhancing Remote Sensing Vision-Language Models Through MLLM and LLM-Based High-Quality Image-Text Dataset Generation Exploring a Fine-Grained Multiscale Method for Cross-Modal Remote Sensing Image Retrieval
Reference 43
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T15:07:34.529414Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b46216a6-8104-4036-a563-6d422ed5dc3f · inbound
A Synthetic-to-Real Dehazing Method based on Domain Unification cites this paper.
A Synthetic-to-Real Dehazing Method based on Domain Unification Exploring a Fine-Grained Multiscale Method for Cross-Modal Remote Sensing Image Retrieval
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T10:27:19.319633Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1f8653b5-b7cb-413b-8286-088ee138b522 · inbound
TCMA: Text-Conditioned Multi-granularity Alignment for Drone Cross-Modal Text-Video Retrieval cites this paper.
TCMA: Text-Conditioned Multi-granularity Alignment for Drone Cross-Modal Text-Video Retrieval Exploring a Fine-Grained Multiscale Method for Cross-Modal Remote Sensing Image Retrieval
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T10:22:46.080575Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b65c5e9a-96bb-47af-a51f-579f08053517 · inbound
Fast-then-Fine: A Two-Stage Framework with Multi-Granular Representation for Cross-Modal Retrieval in Remote Sensing cites this paper.
Fast-then-Fine: A Two-Stage Framework with Multi-Granular Representation for Cross-Modal Retrieval in Remote Sensing Exploring a Fine-Grained Multiscale Method for Cross-Modal Remote Sensing Image Retrieval
Reference 53
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T00:29:47.830027Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 8d06f720-0d9b-474a-a6a2-bb44f910b2f7 · inbound
Evaluating Remote Sensing Image Captions Beyond Metric Biases cites this paper.
Evaluating Remote Sensing Image Captions Beyond Metric Biases Exploring a Fine-Grained Multiscale Method for Cross-Modal Remote Sensing Image Retrieval
Reference 62
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T01:10:09.416375Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 22af8262-01ea-4760-b32e-95edca020ccf · inbound
Sentinel2Cap: A Human-Annotated Benchmark Dataset for Multimodal Remote Sensing Image Captioning cites this paper.
Sentinel2Cap: A Human-Annotated Benchmark Dataset for Multimodal Remote Sensing Image Captioning Exploring a Fine-Grained Multiscale Method for Cross-Modal Remote Sensing Image Retrieval
Reference 9
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T10:46:31.952615Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.