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Paper Citation Record · LEDGER

Masked Siamese Networks for Label-Efficient Learning

As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2204.07141.

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

pith.paper-citation-record.v1
2204.07141 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-12T12:40:23.709098Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-12T12:40:23.823254Z

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 c30a5d61-0f32-431d-aca0-e2eeb456a7fb · inbound

Revisiting Feature Prediction for Learning Visual Representations from Video cites this paper.

Revisiting Feature Prediction for Learning Visual Representations from Video Masked Siamese Networks for Label-Efficient Learning

Reference 220

Resolution
verified exact
arxiv_id, observed 2026-05-12T12:40:23.826248Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-12T12:40:23.709098Z digest=sha256:4079862d23a1180dfbf34c4e292202d767558ab91cc2954f38876819e77bed09

Observation 0e676dd9-b3a9-4512-a533-fcea78f2de13 · inbound

Deep Clustering for Climate: Analyzing Teleconnections through Learned Categorical States cites this paper.

Deep Clustering for Climate: Analyzing Teleconnections through Learned Categorical States Masked Siamese Networks for Label-Efficient Learning

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-05-11T19:21:09.418640Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-08T12:05:43.782068Z digest=sha256:bceede58fa250ad801e29ab4d7490eb494ecbd00d6cb8d894e0d53711a5decfa