Paper Citation Record · LEDGER

Limitations of Neural Collapse for Understanding Generalization in Deep Learning

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2202.08384.

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

pith.paper-citation-record.v1
2202.08384 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 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 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:29:30.744223Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-25T05:26:38.925179Z

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 eebb8d6c-bf21-47dd-b826-7b500aa00e97 · inbound

Neural Collapse is Globally Optimal in Deep Regularized ResNets and Transformers cites this paper.

Neural Collapse is Globally Optimal in Deep Regularized ResNets and Transformers Limitations of Neural Collapse for Understanding Generalization in Deep Learning

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T15:29:30.744223Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 75d00895-5c71-4c95-aeb1-0404d1d14d3a · inbound

On Entity Identification in Language Models cites this paper.

On Entity Identification in Language Models Limitations of Neural Collapse for Understanding Generalization in Deep Learning

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-07T11:23:38.915149Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 28ae4097-2800-4b92-ba9b-1011070948aa · inbound

Feature learning is decoupled from generalization in high capacity neural networks cites this paper.

Feature learning is decoupled from generalization in high capacity neural networks Limitations of Neural Collapse for Understanding Generalization in Deep Learning

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-06T14:17:37.110654Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0a8d9530-173f-49be-8fa1-30df67c7f3ae · inbound

Geometric Analysis of Neural Regression Collapse via Intrinsic Dimension cites this paper.

Geometric Analysis of Neural Regression Collapse via Intrinsic Dimension Limitations of Neural Collapse for Understanding Generalization in Deep Learning

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-18T10:22:33.268280Z

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.

Observation 78eea822-e85a-4190-a28b-2595bf3bf335 · inbound

Neural Collapse by Design: Learning Class Prototypes on the Hypersphere cites this paper.

Neural Collapse by Design: Learning Class Prototypes on the Hypersphere Limitations of Neural Collapse for Understanding Generalization in Deep Learning

Reference 54

Resolution: verified exact; arxiv_id, observed 2026-05-21T07:34:48.029979Z

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.

Observation 77a7228e-7474-4782-a421-7824b4c3d922 · inbound

Neural Collapse by Design: Learning Class Prototypes on the Hypersphere cites this paper.

Neural Collapse by Design: Learning Class Prototypes on the Hypersphere Limitations of Neural Collapse for Understanding Generalization in Deep Learning

Reference 54

Resolution: verified exact; arxiv_id, observed 2026-05-22T09:51:21.809782Z

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.

Observation 153310e5-0a1d-43a1-8095-dda6b2d30e48 · inbound

The Implicit Bias of Depth: From Neural Collapse to Softmax Codes cites this paper.

The Implicit Bias of Depth: From Neural Collapse to Softmax Codes Limitations of Neural Collapse for Understanding Generalization in Deep Learning

Reference 123

Resolution: verified exact; arxiv_id, observed 2026-05-25T05:26:38.928425Z

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.