Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Generalization bounds for deep convolutional neural networks
As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:1905.12600.
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 2026-08-14T11:03:43.349023Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-03T00:47:30.928829Z
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 20c19fc5-2d5d-4f58-8635-8ebb4abf98e5 · inbound
On the Bounds of Function Approximations cites this paper.
On the Bounds of Function Approximations Generalization bounds for deep convolutional neural networks
Reference 28
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T11:03:43.349023Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e813d611-b324-44ce-b4cd-b3f9c859330f · inbound
Self-Play Fine-Tuning Converts Weak Language Models to Strong Language Models cites this paper.
Self-Play Fine-Tuning Converts Weak Language Models to Strong Language Models Generalization bounds for deep convolutional neural networks
Reference 223
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T23:00:20.934186Z
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.
Observation ae25e59d-356f-4fc7-a805-13ad8e904755 · inbound
On the Sample Complexity of One Hidden Layer Networks with Equivariance, Locality and Weight Sharing cites this paper.
On the Sample Complexity of One Hidden Layer Networks with Equivariance, Locality and Weight Sharing Generalization bounds for deep convolutional neural networks
Reference 2018
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T15:36:20.067992Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 86074d2a-5b0a-4176-b556-f8fc27bc43a6 · inbound
Generalization Bound for a General Class of Neural Ordinary Differential Equations cites this paper.
Generalization Bound for a General Class of Neural Ordinary Differential Equations Generalization bounds for deep convolutional neural networks
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T16:14:10.331509Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation eb29b126-6a11-430d-959b-1e65dcc3b872 · inbound
Statistical Consistency and Generalization of Contrastive Representation Learning cites this paper.
Statistical Consistency and Generalization of Contrastive Representation Learning Generalization bounds for deep convolutional neural networks
Reference 82
- Resolution
- verified exact
- arxiv_id, observed 2026-05-21T09:04:04.653960Z
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.
Observation de3c2db5-1268-44f3-bd8d-ec2712672f72 · inbound
Statistical Consistency and Generalization of Contrastive Representation Learning cites this paper.
Statistical Consistency and Generalization of Contrastive Representation Learning Generalization bounds for deep convolutional neural networks
Reference 3
- Resolution
- verified exact
- arxiv_id, observed 2026-07-01T00:15:09.446888Z
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.
Observation 20ea0ebd-eff8-4617-8910-c01f88d04c12 · inbound
A Theory on Flow Matching with Neural Networks cites this paper.
A Theory on Flow Matching with Neural Networks Generalization bounds for deep convolutional neural networks
Reference 242
- Resolution
- verified exact
- arxiv_id, observed 2026-07-03T00:47:30.930382Z
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.