Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Theory of overparametrization in quantum neural networks
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2109.11676.
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 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-07-13T10:08:12.401078Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-02T13:06:59.339061Z
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 77141939-8fd3-4959-990b-7699777fb663 · inbound
Reductions of QAOA Induced by Classical Symmetries: Theoretical Insights and Practical Implications cites this paper.
Reductions of QAOA Induced by Classical Symmetries: Theoretical Insights and Practical Implications Theory of overparametrization in quantum neural networks
Reference 25
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T21:56:40.676480Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation bf1fde90-d97e-4be6-80ee-16cbb1984d5f · inbound
DAGAF: A directed acyclic generative adversarial framework for joint structure learning and tabular data synthesis cites this paper.
DAGAF: A directed acyclic generative adversarial framework for joint structure learning and tabular data synthesis Theory of overparametrization in quantum neural networks
Reference 47
- Resolution
- unresolved
- no resolver link, observed 2026-07-13T10:08:12.401078Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 000f380f-6034-4670-a9b7-e6692c490541 · inbound
Double Descent in Quantum Kernel Ridge Regression cites this paper.
Double Descent in Quantum Kernel Ridge Regression Theory of overparametrization in quantum neural networks
Reference 33
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T06:46:37.369727Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 8ab7c72f-da84-4b6b-92fe-568a7c94f7f9 · inbound
Architecture Shape Governs QNN Trainability: Jacobian Null Space Growth and Parameter Efficiency cites this paper.
Architecture Shape Governs QNN Trainability: Jacobian Null Space Growth and Parameter Efficiency Theory of overparametrization in quantum neural networks
Reference 4
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T19:31:11.272382Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 7339f1f0-f9b0-41e2-a62a-57e8405e561e · inbound
Symmetries and overparametrization properties of Hamiltonian variational ansatzes for the $(1+1)$d $\mathbb{Z}_2$ lattice gauge theory cites this paper.
Symmetries and overparametrization properties of Hamiltonian variational ansatzes for the $(1+1)$d $\mathbb{Z}_2$ lattice gauge theory Theory of overparametrization in quantum neural networks
Reference 2
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T13:06:59.340466Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.