Pith. sign in

Paper Citation Record · LEDGER

Music Genre Classification using Machine Learning Techniques

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1804.01149.

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

pith.paper-citation-record.v1
1804.01149 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:37:12.661551Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T12:15:17.640206Z

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 50d31cff-35ef-4fc5-a692-da51d770f681 · inbound

Comparison of spectrogram scaling in multi-label Music Genre Recognition cites this paper.

Comparison of spectrogram scaling in multi-label Music Genre Recognition Music Genre Classification using Machine Learning Techniques

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-07T11:37:12.661551Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:37:12.661551Z digest=sha256:1355056b9310b0020689387da00fc81d9c22c395ec43e21ac1db8f6a79428ea5

Observation 5837370e-cccc-4ebc-86f7-9b44b502287d · inbound

Music Genre Classification Using Machine Learning Techniques cites this paper.

Music Genre Classification Using Machine Learning Techniques Music Genre Classification using Machine Learning Techniques

Reference 2

Resolution
verified exact
local_arxiv, observed 2026-08-05T12:15:17.654741Z

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=2026-08-05T12:15:17.249716Z digest=sha256:d16ca351f49916f767458ae75022effa54dbaee9f60a5e3757cbd16b166de685