Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2501.02461.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T11:09:08.693317Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-08T14:29:02.570377Z
0 of 0 outbound references displayed
External citation measurements
No source-named external measurement is stored.
No outbound reference observations are available for this paper version.
Observation a65f234a-2bb3-4573-ac88-65df72865a7f · inbound
Integrating Artificial Intelligence and Geophysical Insights for Earthquake Forecasting: A Cross-Disciplinary Review FedRSClip: Federated Learning for Remote Sensing Scene Classification Using Vision-Language Models
Reference 44
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 51d31173-ee05-4b64-9680-e315cb114312 · inbound
FrogDogNet: Fourier frequency Retained visual prompt Output Guidance for Domain Generalization of CLIP in Remote Sensing FedRSClip: Federated Learning for Remote Sensing Scene Classification Using Vision-Language Models
Reference 63
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d8758e36-39c3-4512-81ad-da6323cde4ec · inbound
FedRS-Bench: Realistic Federated Learning Datasets and Benchmarks in Remote Sensing FedRSClip: Federated Learning for Remote Sensing Scene Classification Using Vision-Language Models
Reference 3
Source-reported events for the cited work
Unavailable: canonical work link unavailable.