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Paper Citation Record · LEDGER

autrainer: A Modular and Extensible Deep Learning Toolkit for Computer Audition Tasks

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2412.11943.

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

pith.paper-citation-record.v1
2412.11943 v2

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

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T05:03:19.599518Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T08:54:45.999397Z

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 336e50d2-ea65-4e82-9918-aa43e14e1f2a · inbound

Charting 15 years of progress in deep learning for speech emotion recognition: A replication study cites this paper.

Charting 15 years of progress in deep learning for speech emotion recognition: A replication study autrainer: A Modular and Extensible Deep Learning Toolkit for Computer Audition Tasks

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-06T05:03:19.599518Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:03:19.599518Z digest=sha256:adb279c2df7fd5d69969544537bfe3485ca604971941f76c7d6468ca2611146d

Observation ae4019f3-bf51-471a-afa6-b73489df73fe · inbound

How Class Ontology and Data Scale Affect Audio Transfer Learning cites this paper.

How Class Ontology and Data Scale Affect Audio Transfer Learning autrainer: A Modular and Extensible Deep Learning Toolkit for Computer Audition Tasks

Reference 28

Resolution
metadata mismatch
arxiv_id, observed 2026-05-21T11:00:02.203992Z

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=2026-05-21T10:55:27.361330Z digest=sha256:644176a42a040ca812ab23bfd3f7e9e08c6376a16d9825510b4aaf08f71284bc

Observation 06375d5d-37bc-4615-a955-7ab9c93d7239 · inbound

CoarseSoundNet: Building a reliable model for ecological soundscape analysis cites this paper.

CoarseSoundNet: Building a reliable model for ecological soundscape analysis autrainer: A Modular and Extensible Deep Learning Toolkit for Computer Audition Tasks

Reference 67

Resolution
verified exact
arxiv_id, observed 2026-05-21T01:39:22.908612Z

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=arxiv_source observed=2026-05-21T01:35:53.781212Z digest=sha256:f37ea1d2330f61ef9d1040096d3736f6c567f1b5915577681d0c8b67c65342d2

Observation c724b5cb-35d8-4fc2-8256-5d0bb1e8c46e · inbound

CoarseSoundNet: Building a reliable model for ecological soundscape analysis cites this paper.

CoarseSoundNet: Building a reliable model for ecological soundscape analysis autrainer: A Modular and Extensible Deep Learning Toolkit for Computer Audition Tasks

Reference 67

Resolution
verified exact
arxiv_id, observed 2026-05-22T08:54:46.001833Z

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=arxiv_source observed=2026-05-22T08:51:48.723657Z digest=sha256:1ff6252f3dcc5cb3d3bd415541795bcac5169b422c33bef951e477a243028e5e