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Paper Citation Record · LEDGER

Understanding Optimization of Deep Learning via Jacobian Matrix and Lipschitz Constant

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2306.09338.

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

pith.paper-citation-record.v1
2306.09338 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 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:26:10.591325Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T23:12:04.888513Z

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 b97858a9-b3d1-466c-989f-5c2b8ab1aff8 · inbound

Taming Transformer Without Using Learning Rate Warmup cites this paper.

Taming Transformer Without Using Learning Rate Warmup Understanding Optimization of Deep Learning via Jacobian Matrix and Lipschitz Constant

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-07T13:26:10.591325Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:26:10.591325Z digest=sha256:73292e42b8896a909cf6b9d1d51549b08d4a047634954a715b88b00dc9016c34

Observation 4f476f45-a5df-4ac4-8e56-e41bd833b06a · inbound

A Batch-Insensitive Dynamic GNN Approach to Address Temporal Discontinuity in Graph Streams cites this paper.

A Batch-Insensitive Dynamic GNN Approach to Address Temporal Discontinuity in Graph Streams Understanding Optimization of Deep Learning via Jacobian Matrix and Lipschitz Constant

Reference 23

Resolution
verified exact
local_arxiv, observed 2026-08-06T23:12:04.988291Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:12:03.201720Z digest=sha256:b91c537a1669b6472b2e3f80e1edb008fa52d31656fdaf697c01de00dd5e5936