Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Beyond Unconstrained Features: Neural Collapse for Shallow Neural Networks with General Data
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2409.01832.
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 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-09T21:24:35.449870Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-25T05:26:38.941695Z
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 511fe242-2311-4395-9d1b-becd20669bf1 · 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 Beyond Unconstrained Features: Neural Collapse for Shallow Neural Networks with General Data
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T21:24:35.449870Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3db3b0c3-f332-40ad-a562-a0a2703b1ff9 · 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 Beyond Unconstrained Features: Neural Collapse for Shallow Neural Networks with General Data
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:29:30.299550Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 140b631d-885c-40de-b31d-efd3f7c5fbe4 · 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 Beyond Unconstrained Features: Neural Collapse for Shallow Neural Networks with General Data
Reference 106
- Resolution
- verified exact
- arxiv_id, observed 2026-05-25T05:26:38.944739Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.