Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Complexity Measures for Neural Networks with General Activation Functions Using Path-based Norms
As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2009.06132.
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 2026-08-21T06:32:19.484+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T18:41:00.703270Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-13T23:28:26.160754Z
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 d5b63b37-d7e9-4890-af21-567afea6a4bf · inbound
Solving the Poisson Equation with Dirichlet data by shallow ReLU$^\alpha$-networks: A regularity and approximation perspective cites this paper.
Solving the Poisson Equation with Dirichlet data by shallow ReLU$^\alpha$-networks: A regularity and approximation perspective Complexity Measures for Neural Networks with General Activation Functions Using Path-based Norms
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T18:41:00.703270Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation eab1a543-7252-4a8a-9135-dea6802d176e · inbound
Towards Initialization-dependent and Non-vacuous Generalization Bounds for Overparameterized Shallow Neural Networks cites this paper.
Towards Initialization-dependent and Non-vacuous Generalization Bounds for Overparameterized Shallow Neural Networks Complexity Measures for Neural Networks with General Activation Functions Using Path-based Norms
Reference 29
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T23:28:26.165583Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation aad5e193-a9a1-4d59-9007-673b87f4908d · inbound
Elliptic Regularity Theory in Barron Spaces and Applications to the Deep Ritz Method cites this paper.
Elliptic Regularity Theory in Barron Spaces and Applications to the Deep Ritz Method Complexity Measures for Neural Networks with General Activation Functions Using Path-based Norms
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-07-31T01:28:51.311702Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.