Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
A Review on Discriminative Self-supervised Learning Methods in Computer Vision
As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2405.04969.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-12T00:14:57.536807Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-01T08:05:32.096135Z
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 6f2044af-1781-416d-b939-d5c7b6fbda56 · inbound
Seeing the Whole in the Parts in Self-Supervised Representation Learning cites this paper.
Seeing the Whole in the Parts in Self-Supervised Representation Learning A Review on Discriminative Self-supervised Learning Methods in Computer Vision
Reference 29
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T22:05:10.088121Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e47c81cc-23b0-426d-b37d-cdaa0e829607 · inbound
A Survey on Data Curation for Visual Contrastive Learning: Why Crafting Effective Positive and Negative Pairs Matters cites this paper.
A Survey on Data Curation for Visual Contrastive Learning: Why Crafting Effective Positive and Negative Pairs Matters A Review on Discriminative Self-supervised Learning Methods in Computer Vision
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T10:23:04.448419Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9a084535-dfa7-4aa8-9fa9-0e06c3ce16f9 · inbound
Task-Aligned Self-Supervised Learning for Medical Image Analysis: A Task-Oriented Review with Practical Design Guidelines cites this paper.
Task-Aligned Self-Supervised Learning for Medical Image Analysis: A Task-Oriented Review with Practical Design Guidelines A Review on Discriminative Self-supervised Learning Methods in Computer Vision
Reference 29
- Resolution
- verified exact
- arxiv_id, observed 2026-07-30T17:29:37.686785Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 37d4cd0b-873b-4fac-ac0a-9670f659508d · inbound
Task-Aligned Self-Supervised Learning for Medical Image Analysis: A Task-Oriented Review with Practical Design Guidelines cites this paper.
Task-Aligned Self-Supervised Learning for Medical Image Analysis: A Task-Oriented Review with Practical Design Guidelines A Review on Discriminative Self-supervised Learning Methods in Computer Vision
Reference 29
- Resolution
- verified exact
- arxiv_id, observed 2026-07-30T17:29:37.686785Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 74a4d9fa-cb8d-4945-86ad-fa473f01db69 · inbound
Task-Aligned Self-Supervised Learning for Medical Image Analysis: A Task-Oriented Review with Practical Design Guidelines cites this paper.
Task-Aligned Self-Supervised Learning for Medical Image Analysis: A Task-Oriented Review with Practical Design Guidelines A Review on Discriminative Self-supervised Learning Methods in Computer Vision
Reference 23
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T13:46:49.582846Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 687e4712-dd9d-4098-9140-6caf9cca6086 · inbound
Three Necessary Principles for Self-Supervised Visual Representation Learning cites this paper.
Three Necessary Principles for Self-Supervised Visual Representation Learning A Review on Discriminative Self-supervised Learning Methods in Computer Vision
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T00:14:57.536807Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.