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Paper Citation Record · LEDGER

AV-Deepfake1M: A Large-Scale LLM-Driven Audio-Visual Deepfake Dataset

As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2311.15308.

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

pith.paper-citation-record.v1
2311.15308 v2

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 2026-08-05T06:32:48.257954+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-24T04:34:59.205522Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-24T04:36:00.876066Z

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 7a8e2b82-3e3f-4017-9bcc-f0f6ddf4772b · inbound

MLAAD: The Multi-Language Audio Anti-Spoofing Dataset cites this paper.

MLAAD: The Multi-Language Audio Anti-Spoofing Dataset AV-Deepfake1M: A Large-Scale LLM-Driven Audio-Visual Deepfake Dataset

Reference 59

Resolution
verified exact
arxiv_id, observed 2026-05-24T04:36:00.879524Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-24T04:34:59.205522Z digest=sha256:5aeb5634f9afbc628e43130bbe690d1a5e34150d27c648185a28b4e1a0c7ef58

Observation 1a01ca9f-3d00-4488-aaf9-6cbce123d353 · inbound

A General Model for Deepfake Speech Detection: Diverse Bonafide Resources or Diverse AI-Based Generators cites this paper.

A General Model for Deepfake Speech Detection: Diverse Bonafide Resources or Diverse AI-Based Generators AV-Deepfake1M: A Large-Scale LLM-Driven Audio-Visual Deepfake Dataset

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-05-14T22:18:04.426887Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-14T22:16:21.177902Z digest=sha256:170f72692be0d729d016ed7c3611cca7af3eaa8c8f27103c8812cb271ea74a1b

Observation 62052a3c-1644-41a6-bfdd-d80685aceb78 · inbound

Toward Fine-Grained Speech Inpainting Forensics:A Dataset, Method, and Metric for Multi-Region Tampering Localization cites this paper.

Toward Fine-Grained Speech Inpainting Forensics:A Dataset, Method, and Metric for Multi-Region Tampering Localization AV-Deepfake1M: A Large-Scale LLM-Driven Audio-Visual Deepfake Dataset

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-05-11T22:16:27.601795Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-08T03:08:55.529106Z digest=sha256:e0dd643457338b5d4daa5740eeb5fb723201f27da89dea39c74ec731fd77e86a