Paper Citation Record · LEDGER

Can We Leave Deepfake Data Behind in Training Deepfake Detector?

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2408.17052.

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

pith.paper-citation-record.v1
2408.17052 v1

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 2026-08-14T06:32:32.682623+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T18:38:08.785367Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-17T21:35:17.850684Z

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 487d3ed8-93cd-40dd-bce4-3da934a0e477 · inbound

Stacking Brick by Brick: Aligned Feature Isolation for Incremental Face Forgery Detection cites this paper.

Stacking Brick by Brick: Aligned Feature Isolation for Incremental Face Forgery Detection Can We Leave Deepfake Data Behind in Training Deepfake Detector?

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-12T18:38:08.785367Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9fd8ae38-8cc5-4180-ac90-c61e2cb91fd4 · inbound

Towards a Universal Synthetic Video Detector: From Face or Background Manipulations to Fully AI-Generated Content cites this paper.

Towards a Universal Synthetic Video Detector: From Face or Background Manipulations to Fully AI-Generated Content Can We Leave Deepfake Data Behind in Training Deepfake Detector?

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-11T14:18:55.076888Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5769a50b-9188-4a15-8163-a547698489f2 · inbound

CAD: A General Multimodal Framework for Video Deepfake Detection via Cross-Modal Alignment and Distillation cites this paper.

CAD: A General Multimodal Framework for Video Deepfake Detection via Cross-Modal Alignment and Distillation Can We Leave Deepfake Data Behind in Training Deepfake Detector?

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T15:26:55.184286Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3a7abbdc-409c-40fe-9358-49e634a41165 · inbound

SAGA: Source Attribution of Generative AI Videos cites this paper.

SAGA: Source Attribution of Generative AI Videos Can We Leave Deepfake Data Behind in Training Deepfake Detector?

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-17T21:35:17.853806Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.