Paper Citation Record · LEDGER

Automatic tagging using deep convolutional neural networks

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:1606.00298.

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

pith.paper-citation-record.v1
1606.00298 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T20:23:10.351700Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-10T05:46:50.387488Z

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 3ee003e8-7265-4653-a6ad-85376ba81c18 · inbound

The Good, The Efficient and the Inductive Biases: Exploring Efficiency in Deep Learning Through the Use of Inductive Biases cites this paper.

The Good, The Efficient and the Inductive Biases: Exploring Efficiency in Deep Learning Through the Use of Inductive Biases Automatic tagging using deep convolutional neural networks

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-12T20:23:10.351700Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2a6d20bb-6d94-4f44-92c5-ce5f52e95f16 · inbound

Audio-Language Models for Audio-Centric Tasks: A Systematic Survey cites this paper.

Audio-Language Models for Audio-Centric Tasks: A Systematic Survey Automatic tagging using deep convolutional neural networks

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-10T14:36:19.299621Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 23aa0fb1-5385-44f4-a5af-ba32c1e8daf5 · inbound

Learning Normal Patterns in Musical Loops cites this paper.

Learning Normal Patterns in Musical Loops Automatic tagging using deep convolutional neural networks

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T14:52:44.020379Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0a8dd449-7e01-4ed7-bed8-3fd645c4f25a · inbound

Adopting State-of-the-Art Pretrained Audio Representations for Music Recommender Systems cites this paper.

Adopting State-of-the-Art Pretrained Audio Representations for Music Recommender Systems Automatic tagging using deep convolutional neural networks

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-07-04T21:03:13.600525Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation d7b95a9b-1778-422b-ac45-8633ac3cbdbb · inbound

Structural Bottlenecks on Frequency Representation in End-to-End Audio Models cites this paper.

Structural Bottlenecks on Frequency Representation in End-to-End Audio Models Automatic tagging using deep convolutional neural networks

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-07-10T05:46:50.391342Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.