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Paper Citation Record · LEDGER

Neural collapse with unconstrained features

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2011.11619.

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

pith.paper-citation-record.v1
2011.11619 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T16:41:31.785414Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T07:04:21.164060Z

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 580d3ec5-fd32-4cba-b336-f9968fbf326d · inbound

The Exploration of Neural Collapse under Imbalanced Data cites this paper.

The Exploration of Neural Collapse under Imbalanced Data Neural collapse with unconstrained features

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-12T12:27:32.945971Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T12:27:32.945971Z digest=sha256:f355847c302dbd7a80c0d0c8ffc68aa564f6d85716518b9ccdc51b9da33adc94

Observation 1f8e7448-b3dd-43dd-86ff-fb971f93b4d7 · inbound

Imitate Optimal Policy: Prevail and Induce Action Collapse in Policy Gradient cites this paper.

Imitate Optimal Policy: Prevail and Induce Action Collapse in Policy Gradient Neural collapse with unconstrained features

Reference 2020

Resolution
unresolved
no resolver link, observed 2026-08-15T16:41:31.785414Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T16:41:31.785414Z digest=sha256:d8654ae7138b7732f028e717244c23164521c6514fcc6b9cc75dba7af60a6ba7

Observation 98494500-c286-4fb2-bc7a-16aceb3bc602 · inbound

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

Geometric Analysis of Neural Regression Collapse via Intrinsic Dimension Neural collapse with unconstrained features

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-05-18T10:22:33.243097Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-18T10:22:28.096542Z digest=sha256:8e6fdd91442f694c47dba2d9504c6c9dc87cc02dbb6db50e5e7fad6b038ada17

Observation e63aeb05-6bdd-40c5-a511-8fab977438f1 · inbound

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

Neural Collapse by Design: Learning Class Prototypes on the Hypersphere Neural collapse with unconstrained features

Reference 44

Resolution
verified exact
arxiv_id, observed 2026-05-21T07:34:48.052378Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-05-21T07:34:23.657217Z digest=sha256:e9b6be31236da2b3cce17afd5802ae1160073a283ecff886c9590a30da90105c

Observation 1113082e-0b69-47cd-988f-cc0173c14e05 · inbound

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

Neural Collapse by Design: Learning Class Prototypes on the Hypersphere Neural collapse with unconstrained features

Reference 44

Resolution
verified exact
arxiv_id, observed 2026-05-22T09:51:21.822145Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-05-22T09:48:55.074560Z digest=sha256:95cc1faa8f2c1629541f972b62746bbd51c5f2e5bbb27b8ce2948136177f9c25

Observation 3116f57b-52a4-4608-b4f7-00eb271d2279 · inbound

Learning as Observable Matrix Dynamics: Diffusive Relaxations versus Phase Transitions cites this paper.

Learning as Observable Matrix Dynamics: Diffusive Relaxations versus Phase Transitions Neural collapse with unconstrained features

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-06-30T07:04:21.165618Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-30T07:00:55.733065Z digest=sha256:0b829b8354e0aa0f945894a2ab7eae81df72b7c85d43821a415403e1c74465f9