Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Overcoming Dimensional Collapse in Self-supervised Contrastive Learning for Medical Image Segmentation
As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2402.14611.
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 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T22:00:07.993682Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-20T22:33:48.752300Z
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 42904e67-a6a3-42ad-8814-a9a19a4e627c · inbound
Quantized and Interpretable Learning Scheme for Deep Neural Networks in Classification Task cites this paper.
Quantized and Interpretable Learning Scheme for Deep Neural Networks in Classification Task Overcoming Dimensional Collapse in Self-supervised Contrastive Learning for Medical Image Segmentation
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T22:00:07.993682Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9a5461d1-52c6-45c9-ab8b-635ffdd90479 · inbound
Applying Machine Learning Tools for Urban Resilience Against Floods cites this paper.
Applying Machine Learning Tools for Urban Resilience Against Floods Overcoming Dimensional Collapse in Self-supervised Contrastive Learning for Medical Image Segmentation
Reference 31
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T19:59:06.680265Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6a43615a-86a0-4369-8491-56537e779242 · inbound
Adaptive Multi-Scale Goodness Aggregation for Forward-Forward Learning cites this paper.
Adaptive Multi-Scale Goodness Aggregation for Forward-Forward Learning Overcoming Dimensional Collapse in Self-supervised Contrastive Learning for Medical Image Segmentation
Reference 6
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T22:33:48.755464Z
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.