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Paper Citation Record · LEDGER

Convex Geometry and Duality of Over-parameterized Neural Networks

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2002.11219.

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

pith.paper-citation-record.v1
2002.11219 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-30T23:21:19.495375Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T13:25:44.968280Z

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 34d03cd5-e558-48fb-910c-8d928215fc89 · inbound

Globally Optimal Training of Spiking Neural Networks via Parameter Reconstruction cites this paper.

Globally Optimal Training of Spiking Neural Networks via Parameter Reconstruction Convex Geometry and Duality of Over-parameterized Neural Networks

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-11T03:45:57.340023Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-11T02:18:59.088350Z digest=sha256:e688f490aa7669e55633b8b3acf3a21140cd8fc3b19f949c422325b52ff1aa7e

Observation 57be3e45-ed92-4d6e-95bd-bfc0c82c4cb8 · inbound

Globally Optimal Training of Spiking Neural Networks via Parameter Reconstruction cites this paper.

Globally Optimal Training of Spiking Neural Networks via Parameter Reconstruction Convex Geometry and Duality of Over-parameterized Neural Networks

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-07-01T13:25:44.971893Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-06-30T23:21:19.495375Z digest=sha256:74f23926554d6789711a35d29c10e7275a26baa602b3b609c46d9213aa3b5fc7