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Paper Citation Record · LEDGER

The Codecfake Dataset and Countermeasures for the Universally Detection of Deepfake Audio

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2405.04880.

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

pith.paper-citation-record.v1
2405.04880 v3

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 2026-08-19T06:32:44.657259+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T19:56:31.897476Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T21:23:53.845050Z

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 73d20795-ec08-4651-8e6a-7df44cf1aa2c · inbound

Neural Codec Source Tracing: Toward Comprehensive Attribution in Open-Set Condition cites this paper.

Neural Codec Source Tracing: Toward Comprehensive Attribution in Open-Set Condition The Codecfake Dataset and Countermeasures for the Universally Detection of Deepfake Audio

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-10T21:04:02.845340Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:04:02.845340Z digest=sha256:e34008ff1982445defeb38b4f4be57aaff0b6a30b8fc9ca36d8b55288df8a1b9

Observation c8615795-5e47-4478-b3f6-a2baa3f0d8d5 · inbound

Comprehensive Layer-wise Analysis of SSL Models for Audio Deepfake Detection cites this paper.

Comprehensive Layer-wise Analysis of SSL Models for Audio Deepfake Detection The Codecfake Dataset and Countermeasures for the Universally Detection of Deepfake Audio

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-09T04:35:12.632765Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T04:35:12.632765Z digest=sha256:9c00740775346358fe758969fa5bf3604bdac0db9d8aa254a0e7a213c771f3d4

Observation ea682bbb-669a-43b8-be3d-a299e0619ca0 · inbound

Manipulated Regions Localization For Partially Deepfake Audio: A Survey cites this paper.

Manipulated Regions Localization For Partially Deepfake Audio: A Survey The Codecfake Dataset and Countermeasures for the Universally Detection of Deepfake Audio

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-15T19:56:31.897476Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:56:31.897476Z digest=sha256:a6637e49ac09d0135f7e27d38ca6b83ba0876950d4bd3fdf04ea3be5de8d99ce

Observation 202f6993-73f5-4b3c-8b6d-764782f87ef3 · inbound

Collecting, Curating, and Annotating Good Quality Speech deepfake dataset for Famous Figures: Process and Challenges cites this paper.

Collecting, Curating, and Annotating Good Quality Speech deepfake dataset for Famous Figures: Process and Challenges The Codecfake Dataset and Countermeasures for the Universally Detection of Deepfake Audio

Reference 32

Resolution
verified exact
local_arxiv, observed 2026-08-06T21:23:53.920068Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T21:23:49.860090Z digest=sha256:58474ab4521215ef73cf4f5fb1807cf58368c2ec41b19391736b99770ee7a06b

Observation d06eb128-b672-428e-91b5-472e7890b23c · inbound

AUDDT: A Unified Benchmark Toolkit for Audio and Speech Deepfake Detectors cites this paper.

AUDDT: A Unified Benchmark Toolkit for Audio and Speech Deepfake Detectors The Codecfake Dataset and Countermeasures for the Universally Detection of Deepfake Audio

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-15T15:51:37.310253Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T15:51:37.310253Z digest=sha256:55550627c77a1ad7d8ab55b08f910672872afea2cdbdee35ee178b6d94b03882