Paper Citation Record · LEDGER

Learning Non-overlapping Convolutional Neural Networks with Multiple Kernels

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:1711.03440.

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

pith.paper-citation-record.v1
1711.03440 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T11:19:57.649001Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-07-04T14:49:54.867452Z

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 8f39297f-ddef-48e8-9995-03d19dae3949 · inbound

Theoretical Issues in Deep Networks: Approximation, Optimization and Generalization cites this paper.

Theoretical Issues in Deep Networks: Approximation, Optimization and Generalization Learning Non-overlapping Convolutional Neural Networks with Multiple Kernels

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-14T11:19:57.649001Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f5956423-83c9-49ad-b989-d3fa23ede2fc · 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 Learning Non-overlapping Convolutional Neural Networks with Multiple Kernels

Reference 82

Resolution: metadata mismatch; local_arxiv, observed 2026-05-14T23:00:21.212927Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation d8d267da-8fc8-4655-89ce-0808bc721ae8 · inbound

A Theory on Flow Matching with Neural Networks cites this paper.

A Theory on Flow Matching with Neural Networks Learning Non-overlapping Convolutional Neural Networks with Multiple Kernels

Reference 109

Resolution: metadata mismatch; local_arxiv, observed 2026-07-03T00:57:29.394268Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation ff5212d8-d201-4bde-848e-b16aaa94dc49 · inbound

Estimation of High Dimensional Bounded Discrete Graphical Models via Regularized Generalized Score Matching cites this paper.

Estimation of High Dimensional Bounded Discrete Graphical Models via Regularized Generalized Score Matching Learning Non-overlapping Convolutional Neural Networks with Multiple Kernels

Reference 241

Resolution: metadata mismatch; local_arxiv, observed 2026-07-04T14:49:54.869177Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.