Paper Citation Record · LEDGER

Distinguish Any Fake Videos: Unleashing the Power of Large-scale Data and Motion Features

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2405.15343.

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

pith.paper-citation-record.v1
2405.15343 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T04:21:37.872486Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T10:01:13.543622Z

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 8b0eb5f8-0040-4761-aafd-288c4e552ac2 · inbound

Unmasking Puppeteers: Leveraging Biometric Leakage to Expose Impersonation in AI-Based Videoconferencing cites this paper.

Unmasking Puppeteers: Leveraging Biometric Leakage to Expose Impersonation in AI-Based Videoconferencing Distinguish Any Fake Videos: Unleashing the Power of Large-scale Data and Motion Features

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-18T10:01:13.548884Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 177902d4-66e0-4d76-959d-212ad2061867 · inbound

RobustSora: De-Watermarked Benchmark for Robust AI-Generated Video Detection cites this paper.

RobustSora: De-Watermarked Benchmark for Robust AI-Generated Video Detection Distinguish Any Fake Videos: Unleashing the Power of Large-scale Data and Motion Features

Reference 3

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T23:13:39.320254Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d02b7435-0fd8-4ade-8efd-c3f841cfd0e3 · inbound

ATSS: Detecting AI-Generated Videos via Anomalous Temporal Self-Similarity cites this paper.

ATSS: Detecting AI-Generated Videos via Anomalous Temporal Self-Similarity Distinguish Any Fake Videos: Unleashing the Power of Large-scale Data and Motion Features

Reference 44

Resolution: verified exact; orphan_title_repair, observed 2026-05-13T17:18:34.638529Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 1deeacae-a37e-4d0b-8da2-d85c6d3337e3 · inbound

All in One: A Unified Synthetic Data Pipeline for Multimodal Video Understanding cites this paper.

All in One: A Unified Synthetic Data Pipeline for Multimodal Video Understanding Distinguish Any Fake Videos: Unleashing the Power of Large-scale Data and Motion Features

Reference 48

Resolution: verified exact; arxiv_id, observed 2026-05-11T10:31:03.972270Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 30e330d7-67ea-4cc7-9d45-ffd251f0eca8 · inbound

CMTA: Leveraging Cross-Modal Temporal Artifacts for Generalizable AI-Generated Video Detection cites this paper.

CMTA: Leveraging Cross-Modal Temporal Artifacts for Generalizable AI-Generated Video Detection Distinguish Any Fake Videos: Unleashing the Power of Large-scale Data and Motion Features

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-05-11T15:16:09.989151Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 62b601bc-ef4b-4ec3-83e8-c3e75d85e45f · inbound

SafeGuard: A Multi-Agent Perception-Reasoning Framework for Social-Risk AI-Generated Video Detection cites this paper.

SafeGuard: A Multi-Agent Perception-Reasoning Framework for Social-Risk AI-Generated Video Detection Distinguish Any Fake Videos: Unleashing the Power of Large-scale Data and Motion Features

Reference 21

Resolution: unresolved; no resolver link, observed 2026-07-12T05:07:18.364787Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 92528d57-c883-4ade-bc80-5ba78e56beea · inbound

Detecting AI-Generated Video: A Vision-Language Dual-View Survey cites this paper.

Detecting AI-Generated Video: A Vision-Language Dual-View Survey Distinguish Any Fake Videos: Unleashing the Power of Large-scale Data and Motion Features

Reference 198

Resolution: unresolved; no resolver link, observed 2026-07-14T09:16:37.881212Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2f8d39e8-276d-49a2-8636-fb6762e0d77d · inbound

V-FIND: Revealing the Intrinsic Forgery Knowledge Encoded in Video Forgery Detectors cites this paper.

V-FIND: Revealing the Intrinsic Forgery Knowledge Encoded in Video Forgery Detectors Distinguish Any Fake Videos: Unleashing the Power of Large-scale Data and Motion Features

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-08T04:21:37.872486Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.