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Paper Citation Record · LEDGER

Evolving from Single-modal to Multi-modal Facial Deepfake Detection: Progress and Challenges

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2406.06965.

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

pith.paper-citation-record.v1
2406.06965 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:06:38.175269Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-20T13:13:18.687020Z

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 78f3ec38-d15f-4412-8375-0407377ec4b9 · inbound

SEED: A Benchmark Dataset for Sequential Facial Attribute Editing with Diffusion Models cites this paper.

SEED: A Benchmark Dataset for Sequential Facial Attribute Editing with Diffusion Models Evolving from Single-modal to Multi-modal Facial Deepfake Detection: Progress and Challenges

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-07T12:06:38.175269Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:06:38.175269Z digest=sha256:4cb72f0ba112814454a65176a6b423d4da20bbe6aa6633a56fe4a001fedda771

Observation 63bb2592-5ef9-4abf-92c1-c7c0ecad0edd · inbound

Unmasking Synthetic Realities in Generative AI: A Comprehensive Review of Adversarially Robust Deepfake Detection Systems cites this paper.

Unmasking Synthetic Realities in Generative AI: A Comprehensive Review of Adversarially Robust Deepfake Detection Systems Evolving from Single-modal to Multi-modal Facial Deepfake Detection: Progress and Challenges

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-06T14:34:10.611597Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:34:10.611597Z digest=sha256:a3d8de8b5be603fc81726e05a93672edefa287b27e2a8cd06c91914d746a952c

Observation 06554851-5071-4c95-82bb-bae8f4c489a0 · inbound

Evaluating Deepfake Detectors in the Wild cites this paper.

Evaluating Deepfake Detectors in the Wild Evolving from Single-modal to Multi-modal Facial Deepfake Detection: Progress and Challenges

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-06T12:20:11.886314Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T12:20:11.886314Z digest=sha256:d6f86a423f66d0dc577d71416055a2a7946471ec398ed5de4d9fd1a6efead9f1

Observation f2da1ff6-0ed7-4b07-b2b5-e1504fdbd827 · inbound

Visual Language Models as Zero-Shot Deepfake Detectors cites this paper.

Visual Language Models as Zero-Shot Deepfake Detectors Evolving from Single-modal to Multi-modal Facial Deepfake Detection: Progress and Challenges

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-06T11:45:25.964923Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T11:45:25.964923Z digest=sha256:d066e0e507ae04a63c29dba063ecc647c4f6dfaf16045d0fe3168a5cbc07e7ef

Observation 0e0d08ac-a586-45bd-99a2-ffb176ba1ccd · inbound

ForenX: Towards Explainable AI-Generated Image Detection with Multimodal Large Language Models cites this paper.

ForenX: Towards Explainable AI-Generated Image Detection with Multimodal Large Language Models Evolving from Single-modal to Multi-modal Facial Deepfake Detection: Progress and Challenges

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-06T05:38:50.851745Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T05:38:50.851745Z digest=sha256:297ab9d7ec4b11f704974a73d587275d55a09222274216883e51b52d7ba8f200

Observation 0a8b54b3-5b46-43a1-8ec3-95d2b56e165e · inbound

SEED: A Large-Scale Benchmark for Provenance Tracing in Sequential Deepfake Facial Edits cites this paper.

SEED: A Large-Scale Benchmark for Provenance Tracing in Sequential Deepfake Facial Edits Evolving from Single-modal to Multi-modal Facial Deepfake Detection: Progress and Challenges

Reference 19

Resolution
malformed identifier
arxiv_id, observed 2026-05-11T09:11:00.506178Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-10T16:11:57.041467Z digest=sha256:2d6aca1d1b127767c74945a79b4f506e5358191978504d4abc3bcf4f5756a6b4

Observation 547265b2-7abd-4a25-b79c-cc9b1b8cbdc4 · inbound

Deepfake Detection Generalization with Diffusion Noise cites this paper.

Deepfake Detection Generalization with Diffusion Noise Evolving from Single-modal to Multi-modal Facial Deepfake Detection: Progress and Challenges

Reference 30

Resolution
verified exact
arxiv_id, observed 2026-05-10T11:25:19.500953Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-10T11:22:31.988852Z digest=sha256:ac94bfd82272cc2084d9f13e4d3280dea5e2f927dfd5e99e38c1b562e6e757fb

Observation 79591b42-5026-43b7-ad3b-f999c091da69 · inbound

Are DeepFakes Realistic Enough? Exploring Semantic Mismatch as a Novel Challenge cites this paper.

Are DeepFakes Realistic Enough? Exploring Semantic Mismatch as a Novel Challenge Evolving from Single-modal to Multi-modal Facial Deepfake Detection: Progress and Challenges

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-05-12T10:06:29.125019Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-07T07:49:44.117839Z digest=sha256:436921d8b30a137ab1cddc136c3f54e153e213b171f58d8f428b7cfca24cf114

Observation 9582844d-9832-4510-8fcf-d6f7c3f8feb5 · inbound

Are DeepFakes Realistic Enough? Exploring Semantic Mismatch as a Novel Challenge cites this paper.

Are DeepFakes Realistic Enough? Exploring Semantic Mismatch as a Novel Challenge Evolving from Single-modal to Multi-modal Facial Deepfake Detection: Progress and Challenges

Reference 21

Resolution
unresolved
no resolver link, observed 2026-07-14T19:21:19.583012Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T19:21:19.583012Z digest=sha256:e811cf658850d8918e998077f5c80f66f02bc6b4aa1282539f84529fc71efdc6

Observation 0b904f4f-3974-452d-abcd-b10f0dc3073d · inbound

Deepfake Detection in Social Media: A Temporal Artifact Analysis Using 3D Convolutional Neural Networks cites this paper.

Deepfake Detection in Social Media: A Temporal Artifact Analysis Using 3D Convolutional Neural Networks Evolving from Single-modal to Multi-modal Facial Deepfake Detection: Progress and Challenges

Reference 26

Resolution
verified exact
arxiv_id, observed 2026-05-20T13:13:18.689723Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-20T13:08:29.414406Z digest=sha256:2d40df423e42d33e89d7ad5102891b1d9f54b170e7f232f1a0868956677100e9

Observation c0d3187a-ff68-4503-95dc-377c0952e553 · inbound

ARMOR++: Agentic Orchestration of a Multi-Domain Primitive Set for Transferable Attacks on Deepfake Detectors cites this paper.

ARMOR++: Agentic Orchestration of a Multi-Domain Primitive Set for Transferable Attacks on Deepfake Detectors Evolving from Single-modal to Multi-modal Facial Deepfake Detection: Progress and Challenges

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-01T23:49:11.934526Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T23:49:11.934526Z digest=sha256:00a73d4876a73822fe1ac3929e0d6c56268d259c08b7e1957097f8845472df74