Paper Citation Record · LEDGER

Implicit Regularization in Deep Matrix Factorization

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:1905.13655.

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

pith.paper-citation-record.v1
1905.13655 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 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 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:10:37.154177Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T10:58:03.420548Z

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 5187ef2b-6af8-4d59-8ddc-9ec2f26b94ed · inbound

One Rank at a Time: Cascading Error Dynamics in Sequential Learning cites this paper.

One Rank at a Time: Cascading Error Dynamics in Sequential Learning Implicit Regularization in Deep Matrix Factorization

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-07T13:10:37.154177Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 75d79d22-da28-4cff-8d4b-0e060bc218a3 · inbound

Optimizers Qualitatively Alter Solutions And We Should Leverage This cites this paper.

Optimizers Qualitatively Alter Solutions And We Should Leverage This Implicit Regularization in Deep Matrix Factorization

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T16:56:21.492418Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2e37ea37-f341-4862-8577-647498d728b9 · inbound

A Theory of Saddle Escape in Deep Nonlinear Networks cites this paper.

A Theory of Saddle Escape in Deep Nonlinear Networks Implicit Regularization in Deep Matrix Factorization

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-11T16:51:05.679808Z

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.

Observation 5e420fd0-3a17-4dc5-b3ee-4e4cac8281d2 · inbound

A Theory of Saddle Escape in Deep Nonlinear Networks cites this paper.

A Theory of Saddle Escape in Deep Nonlinear Networks Implicit Regularization in Deep Matrix Factorization

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-11T02:25:54.613679Z

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.

Observation 4698cef6-8966-40a8-901a-ceca3f26b888 · inbound

A Theory of Saddle Escape in Deep Nonlinear Networks cites this paper.

A Theory of Saddle Escape in Deep Nonlinear Networks Implicit Regularization in Deep Matrix Factorization

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-07-01T00:45:12.051229Z

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.

Observation 83396896-3098-4cfb-b426-f2ad36910441 · inbound

Estimating Implicit Regularization in Deep Learning cites this paper.

Estimating Implicit Regularization in Deep Learning Implicit Regularization in Deep Matrix Factorization

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-11T18:26:12.983357Z

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.

Observation f50f6c53-b365-4765-87ff-3b21d815b6c9 · inbound

Deep Unfolded Latent Optimally Partitioned-l2/l1 Networks for Data-driven Block-Sparse Recovery cites this paper.

Deep Unfolded Latent Optimally Partitioned-l2/l1 Networks for Data-driven Block-Sparse Recovery Implicit Regularization in Deep Matrix Factorization

Reference 41

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T10:58:03.421984Z

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.