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Paper Citation Record · LEDGER

In-domain representation learning for remote sensing

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:1911.06721.

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

pith.paper-citation-record.v1
1911.06721 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:32:30.216555Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T00:37:18.706898Z

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 86163c24-6824-4329-a5f7-d0e0993eb8d4 · inbound

A Large-scale Study of Representation Learning with the Visual Task Adaptation Benchmark cites this paper.

A Large-scale Study of Representation Learning with the Visual Task Adaptation Benchmark In-domain representation learning for remote sensing

Reference 11

Resolution
metadata mismatch
arxiv_id, observed 2026-05-17T22:12:05.801211Z

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.

source=pdf_text observed=2026-05-17T22:12:05.731960Z digest=sha256:1a783584c372e6d864e0f6a48f620173715030c85857a50fc8a42865c7c0e178

Observation dfbf4490-030c-4bf8-81a0-ca4331dc0331 · inbound

i-WiViG: Interpretable Window Vision GNN cites this paper.

i-WiViG: Interpretable Window Vision GNN In-domain representation learning for remote sensing

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-05-23T00:37:18.712572Z

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.

source=pdf_text observed=2026-05-23T00:36:53.476267Z digest=sha256:c0773a5409f253941b8c8bb75fafa7a9082e724716e05e6a8136e46b02d1d9a6

Observation 70f415d4-94db-4251-8c1c-f1739eabfae4 · inbound

GeoVision Labeler: Zero-Shot Geospatial Classification with Vision and Language Models cites this paper.

GeoVision Labeler: Zero-Shot Geospatial Classification with Vision and Language Models In-domain representation learning for remote sensing

Reference 2020

Resolution
unresolved
no resolver link, observed 2026-08-07T12:32:30.216555Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:32:30.216555Z digest=sha256:237346c7fa18f2da081634499a22d7672210686af9e52b86f0f4fd8be3ed0ab7

Observation 41607d45-1b98-42fd-9d1b-94963c155465 · inbound

Landsat-Bench: Datasets and Benchmarks for Landsat Foundation Models cites this paper.

Landsat-Bench: Datasets and Benchmarks for Landsat Foundation Models In-domain representation learning for remote sensing

Reference 2022

Resolution
malformed identifier
no resolver link, observed 2026-08-07T05:06:22.508597Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:06:22.508597Z digest=sha256:314674c35c72b0c267961df4cd40dada3c9dd0064fab9e0c5569004761f60ad1

Observation a116a91c-f060-40ad-b233-7ff742d2943a · inbound

Improving Remote Sensing Classification using Topological Data Analysis and Convolutional Neural Networks cites this paper.

Improving Remote Sensing Classification using Topological Data Analysis and Convolutional Neural Networks In-domain representation learning for remote sensing

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-06T17:36:38.948824Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:36:38.948824Z digest=sha256:8558767c022718cb8c508f060cc80af4298c6e56ed099baeb8496ab44d8025ec