Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Loss landscapes and optimization in over-parameterized non-linear systems and neural networks
As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2003.00307.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T14:46:11.682347Z
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 2026-08-15T06:32:42.880941+00:00.
Observation 0d916ece-e529-467b-b7dd-aada77c340d9 · inbound
Just a Simple Transformation is Enough for Data Protection in Vertical Federated Learning cites this paper.
Just a Simple Transformation is Enough for Data Protection in Vertical Federated Learning Loss landscapes and optimization in over-parameterized non-linear systems and neural networks
Reference 46
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T14:46:11.682347Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fbfb23f8-4f7e-4149-b31d-309579fb05dd · inbound
Asymmetric Learning for Spectral Graph Neural Networks cites this paper.
Asymmetric Learning for Spectral Graph Neural Networks Loss landscapes and optimization in over-parameterized non-linear systems and neural networks
Reference 73
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T14:44:59.253607Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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 2026-08-15T06:32:42.880941+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 2026-08-15T06:32:42.880941+00:00.