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Paper Citation Record · LEDGER

Self-supervised Learning from a Multi-view Perspective

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2006.05576.

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

pith.paper-citation-record.v1
2006.05576 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:43:52.837965Z

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

12
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 e627f1ae-e44f-4f05-8efd-636445320c1f · inbound

Disentangled Generative Graph Representation Learning cites this paper.

Disentangled Generative Graph Representation Learning Self-supervised Learning from a Multi-view Perspective

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-05-23T21:25:51.615562Z

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.

source=pdf_text observed=2026-05-23T21:23:33.474134Z digest=sha256:b79059f48f4debb3914e8f987f7a8702dce45da4a445dd216780bc59c1abbe5c

Observation 47b54910-45b3-463a-a080-5b925a6afcd6 · inbound

Aligning Multimodal Representations through an Information Bottleneck cites this paper.

Aligning Multimodal Representations through an Information Bottleneck Self-supervised Learning from a Multi-view Perspective

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-07T10:43:52.837965Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:43:52.837965Z digest=sha256:959c9dfd5abe6c183781a8fa6dc9353cd5f3936051c8f3fd22e3304292a03901

Observation 196b0c05-2f71-4388-b9a1-77592520e9b9 · inbound

Structure-aware Semantic Discrepancy and Consistency for 3D Medical Image Self-supervised Learning cites this paper.

Structure-aware Semantic Discrepancy and Consistency for 3D Medical Image Self-supervised Learning Self-supervised Learning from a Multi-view Perspective

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-06T20:32:09.344319Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:32:09.344319Z digest=sha256:c85ae8adc67e19a99491f74433c50ee77e0c98b7b0f0fb389b63b5a0b9696baf

Observation 9f39970d-8f75-4098-9a99-3de5069b821c · inbound

Quantifying Multimodal Capabilities: Formal Generalization Guarantees in Pairwise Metric Learning cites this paper.

Quantifying Multimodal Capabilities: Formal Generalization Guarantees in Pairwise Metric Learning Self-supervised Learning from a Multi-view Perspective

Reference 38

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T16:41:18.379666Z

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.

source=arxiv_source observed=2026-05-09T15:18:50.966157Z digest=sha256:8a552c7c58a5cc8b9096f651cfde7e585bebf11479f2413e4625dd834854410d

Observation 73b04440-7fb0-44c6-a5ea-79b5309cbfd5 · inbound

Statistical Consistency and Generalization of Contrastive Representation Learning cites this paper.

Statistical Consistency and Generalization of Contrastive Representation Learning Self-supervised Learning from a Multi-view Perspective

Reference 64

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T16:26:09.359417Z

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.

source=arxiv_source observed=2026-05-09T16:55:04.086365Z digest=sha256:2223e2a81285ab106bcb9cb6822edff5a793555d2c3112920fb2368a5f333780

Observation bcbd5cb8-a31f-47c6-a33d-b20510bd9bf6 · inbound

PairAlign: A Framework for Sequence Tokenization via Self-Alignment with Applications to Audio Tokenization cites this paper.

PairAlign: A Framework for Sequence Tokenization via Self-Alignment with Applications to Audio Tokenization Self-supervised Learning from a Multi-view Perspective

Reference 50

Resolution
verified exact
arxiv_id, observed 2026-05-11T19:16:08.661806Z

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.

source=pdf_text observed=2026-05-08T12:25:52.847432Z digest=sha256:32a6d0d579437fd8f1b75e631bbd50ea00be45fd0b1da56e942698cab61b44e8

Observation 4986d107-6056-4d26-8715-dd02ed830860 · inbound

PairAlign: A Framework for Sequence Tokenization via Self-Alignment with Applications to Audio Tokenization cites this paper.

PairAlign: A Framework for Sequence Tokenization via Self-Alignment with Applications to Audio Tokenization Self-supervised Learning from a Multi-view Perspective

Reference 50

Resolution
verified exact
arxiv_id, observed 2026-06-30T23:15:07.761034Z

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.

source=pdf_text observed=2026-06-30T23:14:32.494076Z digest=sha256:93e63813adeafb3e1cfa91e8c620b97a5c4b1805a33115b31b575ae6db5eaed1

Observation 1437c151-25c9-417f-9668-11789adf68e1 · inbound

SeBA: Semi-supervised few-shot learning via Separated-at-Birth Alignment for tabular data cites this paper.

SeBA: Semi-supervised few-shot learning via Separated-at-Birth Alignment for tabular data Self-supervised Learning from a Multi-view Perspective

Reference 224

Resolution
verified exact
arxiv_id, observed 2026-05-12T01:31:13.599541Z

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.

source=arxiv_source observed=2026-05-12T01:31:00.029032Z digest=sha256:80c92693f966ec2161177a9bbe69c12858d5b506acd84522b257b04385c5f141