Paper Citation Record · LEDGER

MoE-FFD: Mixture of Experts for Generalized and Parameter-Efficient Face Forgery Detection

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2404.08452.

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

pith.paper-citation-record.v1
2404.08452 v3

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 2026-08-07T15:42:30.146733Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T10:35:42.211273Z

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 fbcb2cda-bd5d-4f5d-ae36-256d35fa9caa · inbound

Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detection cites this paper.

Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detection MoE-FFD: Mixture of Experts for Generalized and Parameter-Efficient Face Forgery Detection

Reference 230

Resolution: verified exact; arxiv_id, observed 2026-05-17T23:25:47.689134Z

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 54a0dd31-6e8c-4f16-8980-4d20c09e0890 · inbound

Generalizable Multispectral Land Cover Classification via Frequency-Aware Mixture of Low-Rank Token Experts cites this paper.

Generalizable Multispectral Land Cover Classification via Frequency-Aware Mixture of Low-Rank Token Experts MoE-FFD: Mixture of Experts for Generalized and Parameter-Efficient Face Forgery Detection

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-07T15:42:30.146733Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8bebcaab-c706-41e9-80ee-c3c6ffd621ae · inbound

ForensicsSAM: Toward Robust and Unified Image Forgery Detection and Localization Resisting to Adversarial Attack cites this paper.

ForensicsSAM: Toward Robust and Unified Image Forgery Detection and Localization Resisting to Adversarial Attack MoE-FFD: Mixture of Experts for Generalized and Parameter-Efficient Face Forgery Detection

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-05T22:10:02.777493Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 571044fc-1955-40b5-943c-bf7b4834feeb · inbound

VQualA 2025 Challenge on Visual Quality Comparison for Large Multimodal Models: Methods and Results cites this paper.

VQualA 2025 Challenge on Visual Quality Comparison for Large Multimodal Models: Methods and Results MoE-FFD: Mixture of Experts for Generalized and Parameter-Efficient Face Forgery Detection

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-04T19:34:24.492260Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cc591e1d-b981-4314-87dd-a410a03c8a96 · inbound

Generalizable Deepfake Detection Based on Forgery-aware Layer Masking and Multi-artifact Subspace Decomposition cites this paper.

Generalizable Deepfake Detection Based on Forgery-aware Layer Masking and Multi-artifact Subspace Decomposition MoE-FFD: Mixture of Experts for Generalized and Parameter-Efficient Face Forgery Detection

Reference 26

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T18:33:15.242639Z

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 705d0513-ec86-42c0-bd57-d4959af69a9f · inbound

StegaFFD: Privacy-Preserving Face Forgery Detection via Fine-Grained Steganographic Domain Lifting cites this paper.

StegaFFD: Privacy-Preserving Face Forgery Detection via Fine-Grained Steganographic Domain Lifting MoE-FFD: Mixture of Experts for Generalized and Parameter-Efficient Face Forgery Detection

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-02T19:18:58.144751Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 01d0f46b-dd97-40f4-9327-2b913e622172 · inbound

Direct Discrepancy Replay: Distribution-Discrepancy Condensation and Manifold-Consistent Replay for Continual Face Forgery Detection cites this paper.

Direct Discrepancy Replay: Distribution-Discrepancy Condensation and Manifold-Consistent Replay for Continual Face Forgery Detection MoE-FFD: Mixture of Experts for Generalized and Parameter-Efficient Face Forgery Detection

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-11T11:31:01.247564Z

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 c720adde-9f2f-44a5-a359-73a54c63400f · inbound

FaceMoE: Mixture of Experts for Low-Resolution Face Recognition cites this paper.

FaceMoE: Mixture of Experts for Low-Resolution Face Recognition MoE-FFD: Mixture of Experts for Generalized and Parameter-Efficient Face Forgery Detection

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-07-01T10:35:42.212773Z

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.