Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
A Unifying View on Implicit Bias in Training Linear Neural Networks
As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2010.02501.
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 2026-08-15T06:32:42.880941+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T21:04:40.484221Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-23T01:42:23.083739Z
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 6804c035-5aaf-44cb-a657-2d55be3cbbc6 · inbound
The late-stage training dynamics of (stochastic) subgradient descent on homogeneous neural networks cites this paper.
The late-stage training dynamics of (stochastic) subgradient descent on homogeneous neural networks A Unifying View on Implicit Bias in Training Linear Neural Networks
Reference 54
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T18:38:56.984487Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4019eacd-a4a3-4348-86fb-e05d73427cd1 · inbound
An Analytical Theory of Spectral Bias in the Learning Dynamics of Diffusion Models cites this paper.
An Analytical Theory of Spectral Bias in the Learning Dynamics of Diffusion Models A Unifying View on Implicit Bias in Training Linear Neural Networks
Reference 18
- Resolution
- verified exact
- arxiv_id, observed 2026-05-23T01:42:23.087122Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 91d0d0fb-0eab-48bc-abbe-40de8eac3961 · inbound
Understanding Nonlinear Implicit Bias via Region Counts in Input Space cites this paper.
Understanding Nonlinear Implicit Bias via Region Counts in Input Space A Unifying View on Implicit Bias in Training Linear Neural Networks
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T21:02:02.786477Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 33a3d70a-38d4-4974-99a9-67c9ed166df6 · inbound
A Classical View on Benign Overfitting: The Role of Sample Size cites this paper.
A Classical View on Benign Overfitting: The Role of Sample Size A Unifying View on Implicit Bias in Training Linear Neural Networks
Reference 99
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T21:04:40.484221Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bd9fb5e6-8dde-4fbe-8b96-f5257382ffb8 · inbound
Pointwise Generalization in Deep Neural Networks cites this paper.
Pointwise Generalization in Deep Neural Networks A Unifying View on Implicit Bias in Training Linear Neural Networks
Reference 55
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-20T12:38:16.905767Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.