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Paper Citation Record · LEDGER

Wide Neural Networks Trained with Weight Decay Provably Exhibit Neural Collapse

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2410.04887.

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

pith.paper-citation-record.v1
2410.04887 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T21:24:35.468351Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T13:29:51.125379Z

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 a59f008f-03ec-4997-a7c0-933378b78735 · inbound

Neural Collapse Beyond the Unconstrained Features Model: Landscape, Dynamics, and Generalization in the Mean-Field Regime cites this paper.

Neural Collapse Beyond the Unconstrained Features Model: Landscape, Dynamics, and Generalization in the Mean-Field Regime Wide Neural Networks Trained with Weight Decay Provably Exhibit Neural Collapse

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-09T21:24:35.468351Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T21:24:35.468351Z digest=sha256:5b68f9df4d19f95d1ba99f7ec5f896b2937b238f5c66ed4094bea4198b4a7548

Observation 0b001c98-211d-4bc9-ae58-51b16c6e074e · inbound

Weight Decay Improves Language Model Plasticity cites this paper.

Weight Decay Improves Language Model Plasticity Wide Neural Networks Trained with Weight Decay Provably Exhibit Neural Collapse

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-03T00:15:37.301008Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T00:15:37.301008Z digest=sha256:8d5542d59106fc6ad7e195436675fb05c65d488fad524d0cd2cbb140749c94a9

Observation a66e9ed6-909d-4367-9205-9e17319c26af · inbound

Structure Before Collapse: Transient semantic geometry in next-token prediction cites this paper.

Structure Before Collapse: Transient semantic geometry in next-token prediction Wide Neural Networks Trained with Weight Decay Provably Exhibit Neural Collapse

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-07-04T13:29:51.126657Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-06-26T05:14:07.208255Z digest=sha256:e51bcc6d6d211acd93524919577f0554c8633177cd6fa93b4b1a98a016a8334a