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Paper Citation Record · LEDGER

FedRSClip: Federated Learning for Remote Sensing Scene Classification Using Vision-Language Models

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.

pith.paper-citation-record.v1
2501.02461 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:09:08.693317Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-08T14:29:02.570377Z

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 a65f234a-2bb3-4573-ac88-65df72865a7f · inbound

Integrating Artificial Intelligence and Geophysical Insights for Earthquake Forecasting: A Cross-Disciplinary Review cites this paper.

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

Resolution
verified exact
local_arxiv, observed 2026-08-08T14:29:02.576752Z

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.

source=pdf_text observed=2026-08-08T14:28:59.293028Z digest=sha256:328f07d07f9bbe4bac0c53d49801be9a28822652d25f0f114f12b671a720f719

Observation 51d31173-ee05-4b64-9680-e315cb114312 · inbound

FrogDogNet: Fourier frequency Retained visual prompt Output Guidance for Domain Generalization of CLIP in Remote Sensing cites this paper.

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

Resolution
unresolved
no resolver link, observed 2026-08-16T11:09:08.693317Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:09:08.693317Z digest=sha256:3fd3a63aecc3593c8c2db96d5c6eadbbffaba10a85791e3c411bd51232a7db2e

Observation d8758e36-39c3-4512-81ad-da6323cde4ec · inbound

FedRS-Bench: Realistic Federated Learning Datasets and Benchmarks in Remote Sensing cites this paper.

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

Resolution
unresolved
no resolver link, observed 2026-08-15T22:02:49.939034Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:02:49.939034Z digest=sha256:4aa690e70237f49b6c48108d2d91c13303a6855e2b369f99d82c9b50abc4815b