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Paper Citation Record · LEDGER

Automatic tagging using deep convolutional neural networks

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 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 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:52:44.020379Z

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 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.

source=arxiv_source observed=2026-08-07T14:52:44.020379Z digest=sha256:8fc9bda8fb0c3763405ef599d96943f65dd98d6d7d8fbf63e272e95e394565cf

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-08T07:17:42.922029Z digest=sha256:7d62779dcdb773dc7c60aad3c285a3a4a5cf9ca691588192a3fbf344a73185cf

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-10T05:37:12.972599Z digest=sha256:a12eca613f7783d2fbf15e06a84e471f05c6e2b2edd74394762c538a042600de