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Paper Citation Record · LEDGER

Towards an Understanding of Benign Overfitting in Neural Networks

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2106.03212.

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

pith.paper-citation-record.v1
2106.03212 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:04:40.281698Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T12:46:17.851977Z

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 0069767d-067d-49d5-8633-5bc9a33f43b8 · 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 Towards an Understanding of Benign Overfitting in Neural Networks

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-15T21:04:40.281698Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T21:04:40.281698Z digest=sha256:bb72cc2dec0f416e02d589cc1438b79632449ca826258cfb119a87d699cb23ee

Observation 975db993-010f-41ca-b926-7599a005e8f9 · inbound

Benign Overfitting in Adversarial Training for Vision Transformers cites this paper.

Benign Overfitting in Adversarial Training for Vision Transformers Towards an Understanding of Benign Overfitting in Neural Networks

Reference 39

Resolution
verified exact
arxiv_id, observed 2026-05-11T12:46:17.965808Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-05-10T02:58:29.672338Z digest=sha256:c23cb13873e3c0d48f13f5a8893e24480747c818b470f04c13c8037957130beb