Pith. sign in

Paper Citation Record · LEDGER

Feature-Learning Networks Are Consistent Across Widths At Realistic Scales

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2305.18411.

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

pith.paper-citation-record.v1
2305.18411 v2

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 2026-08-09T06:31:02.800959+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T11:19:07.025953Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T10:26:24.125886Z

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 4f4726ba-6eac-46d5-b1c4-3c716a872113 · inbound

Adaptive kernel predictors from feature-learning infinite limits of neural networks cites this paper.

Adaptive kernel predictors from feature-learning infinite limits of neural networks Feature-Learning Networks Are Consistent Across Widths At Realistic Scales

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-08T11:19:07.025953Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T11:19:07.025953Z digest=sha256:3328b8bcac10e64704c2d32be42ef53797e12d02ce188938bca0ff707e0964cf

Observation 25f7f5ce-4640-4e10-93bc-6234dec8af52 · inbound

Spectral Dynamics in Deep Networks: Feature Learning, Outlier Escape, and Learning Rate Transfer cites this paper.

Spectral Dynamics in Deep Networks: Feature Learning, Outlier Escape, and Learning Rate Transfer Feature-Learning Networks Are Consistent Across Widths At Realistic Scales

Reference 37

Resolution
verified exact
arxiv_id, observed 2026-05-11T03:05:53.501458Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-11T03:02:52.833353Z digest=sha256:def321175f7e7a9590cd6ad332d5ae0dc08d6902b0e47442e9a35a1102ec4228

Observation 673df0f6-0f87-46f3-a169-fb0c35124fa4 · inbound

Spectral Dynamics in Deep Networks: Feature Learning, Outlier Escape, and Learning Rate Transfer cites this paper.

Spectral Dynamics in Deep Networks: Feature Learning, Outlier Escape, and Learning Rate Transfer Feature-Learning Networks Are Consistent Across Widths At Realistic Scales

Reference 37

Resolution
verified exact
arxiv_id, observed 2026-05-22T10:26:24.129494Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-22T10:25:54.649302Z digest=sha256:3c4aacd250fd67df1745b0d47ad8d7da9f0116dda7fcced6a6ea564d0ebebd6e