Paper Citation Record · LEDGER

Generalization bounds for deep convolutional neural networks

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:1905.12600.

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

pith.paper-citation-record.v1
1905.12600 v6

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T15:36:20.067992Z

measured 0 of 1 external citation measurements

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 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 2026-08-13T06:32:02.005865+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 2026-08-13T06:32:02.005865+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 2026-08-13T06:32:02.005865+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 2026-08-13T06:32:02.005865+00:00.