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Paper Citation Record · LEDGER

Self-supervised Learning: Generative or Contrastive

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2006.08218.

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

pith.paper-citation-record.v1
2006.08218 v5

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 2026-08-12T06:34:41.77262+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T11:00:56.584090Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-08T15:53:51.778749Z

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 730c9281-68a9-4801-8f90-ba6933776c2c · inbound

Self-supervised Spatial-Temporal Learner for Precipitation Nowcasting cites this paper.

Self-supervised Spatial-Temporal Learner for Precipitation Nowcasting Self-supervised Learning: Generative or Contrastive

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-11T11:00:56.584090Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T11:00:56.584090Z digest=sha256:34bbb9d2a830caec56e36aff54f401a7f196f552a0c9c53752fd44186ad6ff60

Observation 419fe098-4d0a-44c0-acb7-77e13c98ac14 · inbound

From Pixels to Components: Eigenvector Masking for Visual Representation Learning cites this paper.

From Pixels to Components: Eigenvector Masking for Visual Representation Learning Self-supervised Learning: Generative or Contrastive

Reference 17

Resolution
verified exact
local_arxiv, observed 2026-08-08T15:53:51.783760Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-08T15:53:51.501915Z digest=sha256:c8afd5440e5830bd078af628c12eca6fb7ea1fc02a9382c88584854866e24930