Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
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.
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 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T12:32:30.216555Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-23T00:37:18.706898Z
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 86163c24-6824-4329-a5f7-d0e0993eb8d4 · inbound
A Large-scale Study of Representation Learning with the Visual Task Adaptation Benchmark In-domain representation learning for remote sensing
Reference 11
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation dfbf4490-030c-4bf8-81a0-ca4331dc0331 · inbound
i-WiViG: Interpretable Window Vision GNN In-domain representation learning for remote sensing
Reference 19
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 70f415d4-94db-4251-8c1c-f1739eabfae4 · inbound
GeoVision Labeler: Zero-Shot Geospatial Classification with Vision and Language Models In-domain representation learning for remote sensing
Reference 2020
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 41607d45-1b98-42fd-9d1b-94963c155465 · inbound
Landsat-Bench: Datasets and Benchmarks for Landsat Foundation Models In-domain representation learning for remote sensing
Reference 2022
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a116a91c-f060-40ad-b233-7ff742d2943a · inbound
Improving Remote Sensing Classification using Topological Data Analysis and Convolutional Neural Networks In-domain representation learning for remote sensing
Reference 29
Source-reported events for the cited work
Unavailable: canonical work link unavailable.