Paper Citation Record · LEDGER

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

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 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 7 of 7 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 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T11:45:09.589578Z

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

Observation 9ae0ba0b-e906-467a-8308-366aed30507f · inbound

Passive Deepfake Detection Across Multi-modalities: A Comprehensive Survey cites this paper.

Passive Deepfake Detection Across Multi-modalities: A Comprehensive Survey AV-Deepfake1M: A Large-Scale LLM-Driven Audio-Visual Deepfake Dataset

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-12T11:45:09.589578Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 73b38834-8dcc-4516-b261-536bd48871a7 · inbound

Inclusion 2024 Global Multimedia Deepfake Detection Challenge: Towards Multi-dimensional Face Forgery Detection cites this paper.

Inclusion 2024 Global Multimedia Deepfake Detection Challenge: Towards Multi-dimensional Face Forgery Detection AV-Deepfake1M: A Large-Scale LLM-Driven Audio-Visual Deepfake Dataset

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-10T23:11:49.305873Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fcffe43b-8a97-4a33-97db-25ec3a5db086 · inbound

Tell me Habibi, is it Real or Fake? cites this paper.

Tell me Habibi, is it Real or Fake? AV-Deepfake1M: A Large-Scale LLM-Driven Audio-Visual Deepfake Dataset

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T13:08:13.976527Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c2031a53-783d-451e-9e1e-da10020f7760 · inbound

SocialDF: Benchmark Dataset and Detection Model for Mitigating Harmful Deepfake Content on Social Media Platforms cites this paper.

SocialDF: Benchmark Dataset and Detection Model for Mitigating Harmful Deepfake Content on Social Media Platforms AV-Deepfake1M: A Large-Scale LLM-Driven Audio-Visual Deepfake Dataset

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T10:24:24.596655Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

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