Paper Citation Record · LEDGER

A Complete Loss Landscape Analysis of Regularized Deep Matrix Factorization

As of 18 August 2026, this Paper Citation Record lists 11 of 11 outbound references and 2 inbound Pith citation observations for arXiv:2506.20344.

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

pith.paper-citation-record.v1
2506.20344 v3

Coverage vector

measured 11 of 11 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T18:33:38.310235Z

measured 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-12T01:11:50.444218Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-04T14:39:57.394009Z

Reference resolution

11 of 11 outbound references displayed

verified exact1
verified fuzzy3
unresolved7
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 06684d51-6e5a-4566-9b4f-318fda406fa3 · outbound

This paper cites an unresolved cited work.

A Complete Loss Landscape Analysis of Regularized Deep Matrix Factorization Unresolved cited work

Reference 1

Resolution: unresolved; raw_fallback, observed 2026-08-15T18:33:38.679536Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 98691edb-d77e-47fa-90ee-dc1cc3ce5aa5 · outbound

This paper cites Frandsen and R.

A Complete Loss Landscape Analysis of Regularized Deep Matrix Factorization Frandsen and R

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:33:38.649714Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 7b2b8ca9-4316-4e5f-9b91-136fa83c3ac6 · outbound

This paper cites Understanding Deep Representation Learning via Layerwise Feature Compression and Discrimination.

A Complete Loss Landscape Analysis of Regularized Deep Matrix Factorization Understanding Deep Representation Learning via Layerwise Feature Compression and Discrimination

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-15T18:33:38.305619Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0a963793-0a0d-4c38-a7e5-c8125662510f · outbound

This paper cites an unresolved cited work.

A Complete Loss Landscape Analysis of Regularized Deep Matrix Factorization Unresolved cited work

Reference 1990

Resolution: unresolved; raw_fallback, observed 2026-08-15T18:33:38.476644Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation f3b5533d-5971-4306-92e5-7ef41e8222c7 · outbound

This paper cites Kunin, J.

A Complete Loss Landscape Analysis of Regularized Deep Matrix Factorization Kunin, J

Reference 2016

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:33:38.546476Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 0aeb3f6c-8274-42b7-802c-2b0b2b14ddec · outbound

This paper cites Qualitatively characterizing neural network optimization problems.

A Complete Loss Landscape Analysis of Regularized Deep Matrix Factorization Qualitatively characterizing neural network optimization problems

Reference 2017

Resolution: unresolved; no resolver link, observed 2026-08-15T18:33:38.280953Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fbcd50cd-973b-4671-a85f-b674a191e902 · outbound

This paper cites Depth Creates No Bad Local Minima.

A Complete Loss Landscape Analysis of Regularized Deep Matrix Factorization Depth Creates No Bad Local Minima

Reference 2018

Resolution: unresolved; no resolver link, observed 2026-08-15T18:33:38.295578Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a41ce806-7481-45df-be4e-96a612dfa733 · outbound

This paper cites Baldi and K.

A Complete Loss Landscape Analysis of Regularized Deep Matrix Factorization Baldi and K

Reference 2019

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:33:38.664675Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation edc1e2ae-df70-438f-859f-16ef6dcbd93b · outbound

This paper cites an unresolved cited work.

A Complete Loss Landscape Analysis of Regularized Deep Matrix Factorization Unresolved cited work

Reference 2020

Resolution: unresolved; raw_fallback, observed 2026-08-15T18:33:38.632754Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 740cda87-4f8e-4d24-8119-b68de32474cd · outbound

This paper cites Error Bound Analysis for the Regularized Loss of Deep Linear Neural Networks.

A Complete Loss Landscape Analysis of Regularized Deep Matrix Factorization Error Bound Analysis for the Regularized Loss of Deep Linear Neural Networks

Reference 2023

Resolution: verified exact; local_arxiv, observed 2026-08-15T18:33:38.405606Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d6d82091-0b53-46b0-b884-47de5ef44b65 · outbound

This paper cites an unresolved cited work.

A Complete Loss Landscape Analysis of Regularized Deep Matrix Factorization Unresolved cited work

Reference 2024

Resolution: unresolved; raw_fallback, observed 2026-08-15T18:33:38.421714Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Pith citing papers

Observation f0e24e83-aa43-4bb2-a57e-e24733fbc2c5 · inbound

Benign Landscape of Quadratic Programs with Orthogonality Constraints and Its Application to Heteroscedastic Probabilistic PCA cites this paper.

Benign Landscape of Quadratic Programs with Orthogonality Constraints and Its Application to Heteroscedastic Probabilistic PCA A Complete Loss Landscape Analysis of Regularized Deep Matrix Factorization

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-07-04T14:39:57.395267Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 6e77ec31-e5be-4f15-8702-bebd6b750b64 · inbound

Implicit Bias of SGD in Multivariate ReLU Networks: Effective Width Collapse cites this paper.

Implicit Bias of SGD in Multivariate ReLU Networks: Effective Width Collapse A Complete Loss Landscape Analysis of Regularized Deep Matrix Factorization

Reference 114

Resolution: unresolved; no resolver link, observed 2026-07-12T01:11:50.444218Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.