Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Generalization Ability of Wide Neural Networks on $\mathbb{R}$
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2302.05933.
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 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-08T17:13:44.401779Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-02T15:57:07.400835Z
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 acc28eba-2edb-47c9-a848-610ba54da717 · inbound
Uncertainty Quantification and Causal Considerations for Off-Policy Decision Making cites this paper.
Uncertainty Quantification and Causal Considerations for Off-Policy Decision Making Generalization Ability of Wide Neural Networks on $\mathbb{R}$
Reference 63
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T17:13:44.401779Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2031aa42-4661-40d5-a54d-274f5dc7f218 · inbound
A ZeNN architecture to avoid the Gaussian trap cites this paper.
A ZeNN architecture to avoid the Gaussian trap Generalization Ability of Wide Neural Networks on $\mathbb{R}$
Reference 2023
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:57:41.705012Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e93a1db1-3dab-465f-a695-c3ecfee8fc0c · inbound
Adversarial Robustness of NTK Neural Networks cites this paper.
Adversarial Robustness of NTK Neural Networks Generalization Ability of Wide Neural Networks on $\mathbb{R}$
Reference 10
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T00:31:18.115741Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 030b1500-a839-48fd-80f7-6d8a5a726ffd · inbound
Adversarial Robustness of NTK Neural Networks cites this paper.
Adversarial Robustness of NTK Neural Networks Generalization Ability of Wide Neural Networks on $\mathbb{R}$
Reference 10
- Resolution
- verified exact
- arxiv_id, observed 2026-07-01T09:05:36.526655Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 54b8de7e-62bc-4932-8d8d-153f79ef41d0 · inbound
Optimal Rates for Generalization of Gradient Descent Methods with Deep Neural Networks cites this paper.
Optimal Rates for Generalization of Gradient Descent Methods with Deep Neural Networks Generalization Ability of Wide Neural Networks on $\mathbb{R}$
Reference 30
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-02T15:57:07.402623Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 2858c786-df42-482d-89fc-734e5d124f3f · inbound
The Cost of Discretization in Functional Linear Regression: Minimax Rates and Adaptation cites this paper.
The Cost of Discretization in Functional Linear Regression: Minimax Rates and Adaptation Generalization Ability of Wide Neural Networks on $\mathbb{R}$
Reference 78
- Resolution
- unresolved
- no resolver link, observed 2026-07-13T03:41:36.654380Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 89324dc7-5722-482c-ad62-bf04f5522e79 · inbound
Breaking the Curse with BAND: Nonparametric Distribution Estimation in High Dimensions cites this paper.
Breaking the Curse with BAND: Nonparametric Distribution Estimation in High Dimensions Generalization Ability of Wide Neural Networks on $\mathbb{R}$
Reference 200
- Resolution
- unresolved
- no resolver link, observed 2026-07-30T15:56:46.630586Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.