Paper Citation Record · LEDGER

Loss landscapes and optimization in over-parameterized non-linear systems and neural networks

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2003.00307.

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

pith.paper-citation-record.v1
2003.00307 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 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 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T12:54:27.132187Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T00:47:30.870993Z

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 fd468b24-3a88-4e8e-98a9-260aadd8079d · inbound

Self-Play Fine-Tuning Converts Weak Language Models to Strong Language Models cites this paper.

Self-Play Fine-Tuning Converts Weak Language Models to Strong Language Models Loss landscapes and optimization in over-parameterized non-linear systems and neural networks

Reference 251

Resolution: verified exact; arxiv_id, observed 2026-05-14T23:00:21.144061Z

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 683d7d39-c335-4783-a430-06c21377307e · inbound

From Sublinear to Linear: Local Convergence in Finite-Width Networks via Locally Polyak-Lojasiewicz Regions cites this paper.

From Sublinear to Linear: Local Convergence in Finite-Width Networks via Locally Polyak-Lojasiewicz Regions Loss landscapes and optimization in over-parameterized non-linear systems and neural networks

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-06T12:54:27.132187Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1b4e2776-1a15-4a8d-951a-987e1362c7bb · inbound

Predator-Prey Model: Driven Hunt for Accelerated Grokking cites this paper.

Predator-Prey Model: Driven Hunt for Accelerated Grokking Loss landscapes and optimization in over-parameterized non-linear systems and neural networks

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-04T20:44:20.583234Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 25eff03e-24b9-4ede-864e-eb9744b1e47b · inbound

Optimal and Diffusion Transports in Machine Learning cites this paper.

Optimal and Diffusion Transports in Machine Learning Loss landscapes and optimization in over-parameterized non-linear systems and neural networks

Reference 88

Resolution: unresolved; no resolver link, observed 2026-08-03T18:14:13.043046Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f59cb750-ff01-4392-b221-d1c8862eb4d2 · inbound

On the Impact of Class Imbalance on the Learning Dynamics of Deep Neural Networks:An Intuitive Insight cites this paper.

On the Impact of Class Imbalance on the Learning Dynamics of Deep Neural Networks:An Intuitive Insight Loss landscapes and optimization in over-parameterized non-linear systems and neural networks

Reference 38

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T12:24:39.859518Z

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 60da8482-b361-4aa0-a928-b296e9b9ef8e · inbound

A Theory on Flow Matching with Neural Networks cites this paper.

A Theory on Flow Matching with Neural Networks Loss landscapes and optimization in over-parameterized non-linear systems and neural networks

Reference 269

Resolution: verified exact; arxiv_id, observed 2026-07-03T00:47:30.872856Z

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.