Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Loss Landscape Characterization of Neural Networks without Over-Parametrization
As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2410.12455.
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 2026-08-17T06:30:58.91139+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-09T21:56:50.773093Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-06T21:57:26.767534Z
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 a3b291a1-492c-4fff-8e31-19e824404fff · inbound
The Surprising Agreement Between Convex Optimization Theory and Learning-Rate Scheduling for Large Model Training cites this paper.
The Surprising Agreement Between Convex Optimization Theory and Learning-Rate Scheduling for Large Model Training Loss Landscape Characterization of Neural Networks without Over-Parametrization
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T21:56:50.773093Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d3273e9d-d892-472e-9e9c-1bdc0338acdc · inbound
On the boundedness of the sequence generated by minibatch stochastic gradient descent cites this paper.
On the boundedness of the sequence generated by minibatch stochastic gradient descent Loss Landscape Characterization of Neural Networks without Over-Parametrization
Reference 6
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T21:57:26.824805Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.