Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Towards understanding neural collapse in supervised contrastive learning with the information bottleneck method
As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2305.11957.
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 2026-08-19T06:32:44.657259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T10:22:23.554782Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-18T10:22:33.147873Z
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 b08df21c-8707-4c35-b996-5b8f0f760751 · inbound
Enhancing Pre-Trained Model-Based Class-Incremental Learning through Neural Collapse cites this paper.
Enhancing Pre-Trained Model-Based Class-Incremental Learning through Neural Collapse Towards understanding neural collapse in supervised contrastive learning with the information bottleneck method
Reference 54
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T10:22:23.554782Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d84a2f45-d525-4d83-ae92-fade73376c76 · inbound
Geometric Analysis of Neural Regression Collapse via Intrinsic Dimension cites this paper.
Geometric Analysis of Neural Regression Collapse via Intrinsic Dimension Towards understanding neural collapse in supervised contrastive learning with the information bottleneck method
Reference 24
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T10:22:33.151143Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation c4890556-5acb-4a73-bd05-204d4b003202 · inbound
Optimal Representations for Generalized Contrastive Learning with Imbalanced Datasets cites this paper.
Optimal Representations for Generalized Contrastive Learning with Imbalanced Datasets Towards understanding neural collapse in supervised contrastive learning with the information bottleneck method
Reference 110
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T02:32:06.175096Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.