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Paper Citation Record · LEDGER

Unsupervised visualization of image datasets using contrastive learning

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2210.09879.

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

pith.paper-citation-record.v1
2210.09879 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T14:25:20.904464Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

6
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 26d17093-5a9c-49ac-9ca5-fea4dae1cbce · inbound

MAPLE: Self-Supervised Learning-Enhanced Nonlinear Dimensionality Reduction for Visual Analysis cites this paper.

MAPLE: Self-Supervised Learning-Enhanced Nonlinear Dimensionality Reduction for Visual Analysis Unsupervised visualization of image datasets using contrastive learning

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-16T11:07:46.740950Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-16T11:06:31.168861Z digest=sha256:75779eb48366eacaedbcd0b331cb739fbaf01407c4c67327f56a0302c0d09803

Observation d788b7e1-4f4b-439a-8d97-a341d9cb8465 · inbound

A Spectral Framework for Multi-Scale Nonlinear Dimensionality Reduction cites this paper.

A Spectral Framework for Multi-Scale Nonlinear Dimensionality Reduction Unsupervised visualization of image datasets using contrastive learning

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-13T21:18:16.613858Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-13T21:17:59.894410Z digest=sha256:12047f4a1b48ef83ced49b6f74d7cd26e38da3c029cc647fd85d083f1a20f553

Observation 191abfb6-e127-433c-8a89-15c74f7c5b54 · inbound

CosMAP: Contrastive Manifold Approximation and Projection for Dimensionality Reduction of Omics and Genealogical Data cites this paper.

CosMAP: Contrastive Manifold Approximation and Projection for Dimensionality Reduction of Omics and Genealogical Data Unsupervised visualization of image datasets using contrastive learning

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-15T14:25:20.904464Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T14:25:20.904464Z digest=sha256:c4892d1824eb79a23c1e615f4b94fb92ad2b89f02108d6c6d97f0f8e41a3fc3c