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Paper Citation Record · LEDGER

Early Directional Convergence in Deep Homogeneous Neural Networks for Small Initializations

As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2403.08121.

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

pith.paper-citation-record.v1
2403.08121 v3

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 2026-08-06T06:34:29.942622+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-22T20:02:41.105786Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T20:05:04.799388Z

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 4f304ecd-894d-4c6d-ab05-a7dae719d613 · inbound

An overview of condensation phenomenon in deep learning cites this paper.

An overview of condensation phenomenon in deep learning Early Directional Convergence in Deep Homogeneous Neural Networks for Small Initializations

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-22T20:05:04.802940Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-22T20:02:41.105786Z digest=sha256:92a89b972f77b5239d88180c1f19f48fd99b5cc7978434e3c5446da28cebaeb2

Observation 95a26852-9345-48c6-907d-7707556f83ae · inbound

The Weight Gram Matrix Captures Sequential Feature Linearization in Deep Networks cites this paper.

The Weight Gram Matrix Captures Sequential Feature Linearization in Deep Networks Early Directional Convergence in Deep Homogeneous Neural Networks for Small Initializations

Reference 24

Resolution
verified exact
arxiv_id, observed 2026-05-11T18:56:07.442964Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-08T13:14:32.856570Z digest=sha256:3b2b7b955586de71066067d3b97016efdd9692b387d2823d8d8cec4715a70440