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Paper Citation Record · LEDGER

An open dataset for research on audio field recording archives: freefield1010

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1309.5275.

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

pith.paper-citation-record.v1
1309.5275 v2

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 2026-08-18T06:34:40.430872+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T14:28:07.466373Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T05:30:23.456663Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

38
pith, observed 2026-08-10T05:30:23.456663Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 7842a757-6031-4c82-8e26-4c2467e5cfe2 · inbound

autrainer: A Modular and Extensible Deep Learning Toolkit for Computer Audition Tasks cites this paper.

autrainer: A Modular and Extensible Deep Learning Toolkit for Computer Audition Tasks An open dataset for research on audio field recording archives: freefield1010

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-11T14:28:07.466373Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:28:07.466373Z digest=sha256:fc7a8332d42e77021d96b4d26d9ca18c10cc4932b6b83b47a0f057c117133f34

Observation 14668544-0e06-48e2-a15d-8450110aadbb · inbound

Self-Supervised Convolutional Audio Models are Flexible Acoustic Feature Learners: A Domain Specificity and Transfer-Learning Study cites this paper.

Self-Supervised Convolutional Audio Models are Flexible Acoustic Feature Learners: A Domain Specificity and Transfer-Learning Study An open dataset for research on audio field recording archives: freefield1010

Reference 27

Resolution
verified exact
local_arxiv, observed 2026-08-09T12:27:19.720639Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-09T12:27:19.399285Z digest=sha256:c9a527235f47b6c9dec45e938d65fb5dc541272d4e98134350971bd63730f494