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Paper Citation Record · LEDGER

Vision Foundation Models in Remote Sensing: A Survey

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2408.03464.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2408.03464 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T00:39:40.669210Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-10T00:24:47.555664Z

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 15bbeca2-b2a4-4d60-b7ca-d575cc78b0d5 · inbound

Online Location Planning for AI-Defined Vehicles: Optimizing Joint Tasks of Order Serving and Spatio-Temporal Heterogeneous Model Fine-Tuning cites this paper.

Online Location Planning for AI-Defined Vehicles: Optimizing Joint Tasks of Order Serving and Spatio-Temporal Heterogeneous Model Fine-Tuning Vision Foundation Models in Remote Sensing: A Survey

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-09T00:39:40.669210Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T00:39:40.669210Z digest=sha256:100e8d18910bb50ae92d98cfd9183d1124cca003396ea5c9c3d930c352870584

Observation 92481cb3-d974-48c0-aac8-e7bb3509e171 · inbound

Representation Discrepancy Bridging Method for Remote Sensing Image-Text Retrieval cites this paper.

Representation Discrepancy Bridging Method for Remote Sensing Image-Text Retrieval Vision Foundation Models in Remote Sensing: A Survey

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-07T14:59:38.960858Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:59:38.960858Z digest=sha256:2aa21863f62908aba20501e19c90b52ecaf51bdee6fa39e085198d865b08b784

Observation c3df6ab7-22c6-40d5-aaa8-6bb12a33090a · inbound

Leveraging Satellite Image Time Series for Accurate Extreme Event Detection cites this paper.

Leveraging Satellite Image Time Series for Accurate Extreme Event Detection Vision Foundation Models in Remote Sensing: A Survey

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-07T04:09:20.959735Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:09:20.959735Z digest=sha256:1273dc5eb971c550e1168a0106a55f33ba906bc568f2fa9f855567c24343a8f7

Observation 438b9e3e-33be-4ce0-a60d-63f4a40cfeff · inbound

Time2Agri: Temporal Pretext Tasks for Agricultural Monitoring cites this paper.

Time2Agri: Temporal Pretext Tasks for Agricultural Monitoring Vision Foundation Models in Remote Sensing: A Survey

Reference 2025

Resolution
unresolved
no resolver link, observed 2026-08-06T19:54:33.656215Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:54:33.656215Z digest=sha256:533476b3e91c1ac97ca4c1d59b2e6c82aa9b040a703deb5265a522dba9a34a65

Observation f1672302-2f68-405d-b802-b840027be999 · inbound

MAPEX: Modality-Aware Pruning of Experts for Remote Sensing Foundation Models cites this paper.

MAPEX: Modality-Aware Pruning of Experts for Remote Sensing Foundation Models Vision Foundation Models in Remote Sensing: A Survey

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-06T18:44:15.711701Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:44:15.711701Z digest=sha256:d0a5261447b24f02a03e1eb711efe60167317002c0e9708003eb6488658a0a86

Observation 7e8fcffc-4d40-4e2b-8a86-58a44e79dee1 · inbound

Unlocking Multi-Spectral Data for Multi-Modal Models with Guided Inputs and Chain-of-Thought Reasoning cites this paper.

Unlocking Multi-Spectral Data for Multi-Modal Models with Guided Inputs and Chain-of-Thought Reasoning Vision Foundation Models in Remote Sensing: A Survey

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-05-10T00:24:47.557060Z

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.

source=pdf_text observed=2026-05-10T00:05:15.384332Z digest=sha256:8e2ffd2f323a0ddf82bd99195925ffe049cf58e5872d2707b1ad5aa91bd24654