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Paper Citation Record · LEDGER

FauForensics: Boosting Audio-Visual Deepfake Detection with Facial Action Units

As of 22 August 2026, this Paper Citation Record lists 60 of 60 outbound references and 0 inbound Pith citation observations for arXiv:2505.08294.

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

pith.paper-citation-record.v1
2505.08294 v2

Coverage vector

measured 60 of 60 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T22:03:04.755177Z

measured 60 of 60 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

60 of 60 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3b9e7aae-8173-45ed-8c5a-8f9f93a00b23 · outbound

This paper cites You look stressed: A pilot study on facial action unit activity in the con- text of psychosocial stress,.

FauForensics: Boosting Audio-Visual Deepfake Detection with Facial Action Units You look stressed: A pilot study on facial action unit activity in the con- text of psychosocial stress,

Reference 1

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Observation 268e5623-ffe1-468f-811e-8b9a07ec7e07 · outbound

This paper cites Not made for each other-audio-visual dissonance-based deepfake detection and lo- calization,.

FauForensics: Boosting Audio-Visual Deepfake Detection with Facial Action Units Not made for each other-audio-visual dissonance-based deepfake detection and lo- calization,

Reference 2

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Source-reported events for the cited work

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Observation 7a5a36ab-e620-4abc-b138-245c2d754273 · outbound

This paper cites Multimodal forgery detection using ensemble learning,.

FauForensics: Boosting Audio-Visual Deepfake Detection with Facial Action Units Multimodal forgery detection using ensemble learning,

Reference 3

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Observation b4246b5c-27b7-43cb-bc01-0e0503c7a69a · outbound

This paper cites Avtenet: A human-cognition-inspired audio-visual transformer-based ensemble network for video deepfake detection,.

FauForensics: Boosting Audio-Visual Deepfake Detection with Facial Action Units Avtenet: A human-cognition-inspired audio-visual transformer-based ensemble network for video deepfake detection,

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation b7735aa4-960a-40f4-9713-2314309c3adb · outbound

This paper cites Pvass- mdd: predictive visual-audio alignment self-supervision for multimodal deepfake detection,.

FauForensics: Boosting Audio-Visual Deepfake Detection with Facial Action Units Pvass- mdd: predictive visual-audio alignment self-supervision for multimodal deepfake detection,

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 79bab764-4b68-429b-b4d6-270067893fbb · outbound

This paper cites Mcl: multimodal contrastive learning for deepfake detection,.

FauForensics: Boosting Audio-Visual Deepfake Detection with Facial Action Units Mcl: multimodal contrastive learning for deepfake detection,

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 43739a8c-cbd5-469f-881e-515739945be7 · outbound

This paper cites Cross- modality and within-modality regularization for audio-visual deepfake detection,.

FauForensics: Boosting Audio-Visual Deepfake Detection with Facial Action Units Cross- modality and within-modality regularization for audio-visual deepfake detection,

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 7dec6c88-c13c-4b86-8c9e-64ad1bc2b23a · outbound

This paper cites Avff: Audio-visual feature fusion for video deepfake detection,.

FauForensics: Boosting Audio-Visual Deepfake Detection with Facial Action Units Avff: Audio-visual feature fusion for video deepfake detection,

Reference 8

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Source-reported events for the cited work

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Observation c43254a2-dd36-4e85-94e5-8aa1a4006bb3 · outbound

This paper cites Joint audio-visual attention with con- trastive learning for more general deepfake detection,.

FauForensics: Boosting Audio-Visual Deepfake Detection with Facial Action Units Joint audio-visual attention with con- trastive learning for more general deepfake detection,

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 9a4791fa-500e-43ce-a467-c852fc23875a · outbound

This paper cites Fine- grained multimodal deepfake classification via heterogeneous graphs,.

FauForensics: Boosting Audio-Visual Deepfake Detection with Facial Action Units Fine- grained multimodal deepfake classification via heterogeneous graphs,

Reference 10

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Source-reported events for the cited work

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Observation f6606ef6-7397-40ff-a6f8-bebf7bc76f1a · outbound

This paper cites Emotions don’t lie: An audio-visual deepfake detection method using affective cues,.

FauForensics: Boosting Audio-Visual Deepfake Detection with Facial Action Units Emotions don’t lie: An audio-visual deepfake detection method using affective cues,

Reference 11

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Source-reported events for the cited work

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Observation 8713949a-9060-4f64-a227-251e58baee20 · outbound

This paper cites Face x-ray for more general face forgery detection,.

FauForensics: Boosting Audio-Visual Deepfake Detection with Facial Action Units Face x-ray for more general face forgery detection,

Reference 12

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Source-reported events for the cited work

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Observation f5d19f96-b2c5-4d7d-aee4-702037ddaf89 · outbound

This paper cites Detect and locate: Exposing face manipulation by semantic-and noise-level telltales,.

FauForensics: Boosting Audio-Visual Deepfake Detection with Facial Action Units Detect and locate: Exposing face manipulation by semantic-and noise-level telltales,

Reference 13

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Source-reported events for the cited work

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Observation 93f99101-22e0-467b-9cb7-eb535fd5dac1 · outbound

This paper cites Lisiam: Localization invariance siamese network for deepfake detection,.

FauForensics: Boosting Audio-Visual Deepfake Detection with Facial Action Units Lisiam: Localization invariance siamese network for deepfake detection,

Reference 14

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 006a7a7c-bb0b-4ad9-a453-ef7e5e00f9b7 · outbound

This paper cites Masked relation learning for deepfake detection,.

FauForensics: Boosting Audio-Visual Deepfake Detection with Facial Action Units Masked relation learning for deepfake detection,

Reference 15

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Source-reported events for the cited work

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Observation ef25dcb5-a2db-4377-9d47-59023d37a7a5 · outbound

This paper cites Ucf: Uncovering common features for generalizable deepfake detection,.

FauForensics: Boosting Audio-Visual Deepfake Detection with Facial Action Units Ucf: Uncovering common features for generalizable deepfake detection,

Reference 16

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Observation 23ebbc89-9a6f-439d-ab8b-c5f17de953a2 · outbound

This paper cites Robust ai- synthesized speech detection using feature decomposition learning and synthesizer feature augmentation,.

FauForensics: Boosting Audio-Visual Deepfake Detection with Facial Action Units Robust ai- synthesized speech detection using feature decomposition learning and synthesizer feature augmentation,

Reference 17

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Source-reported events for the cited work

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Observation a1790d95-ce9a-4a7e-a886-6d25bf3def30 · outbound

This paper cites Preventing deepfake attacks on speaker authentication by dynamic lip movement analysis,.

FauForensics: Boosting Audio-Visual Deepfake Detection with Facial Action Units Preventing deepfake attacks on speaker authentication by dynamic lip movement analysis,

Reference 18

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Source-reported events for the cited work

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Observation 2096d94e-c1f0-43cd-aa62-9455f34fd626 · outbound

This paper cites Diff2lip: Audio conditioned diffusion models for lip-synchronization,.

FauForensics: Boosting Audio-Visual Deepfake Detection with Facial Action Units Diff2lip: Audio conditioned diffusion models for lip-synchronization,

Reference 19

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Source-reported events for the cited work

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Observation b0f32144-cd4f-45b4-8c26-5c5f2264eb01 · outbound

This paper cites LatentSync: Taming Audio-Conditioned Latent Diffusion Models for Lip Sync with SyncNet Supervision.

FauForensics: Boosting Audio-Visual Deepfake Detection with Facial Action Units LatentSync: Taming Audio-Conditioned Latent Diffusion Models for Lip Sync with SyncNet Supervision

Reference 20

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Observation ef25c3b4-62aa-474a-97c8-7d65821970c4 · outbound

This paper cites Loopy: Taming audio-driven portrait avatar with long-term motion dependency,.

FauForensics: Boosting Audio-Visual Deepfake Detection with Facial Action Units Loopy: Taming audio-driven portrait avatar with long-term motion dependency,

Reference 21

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Source-reported events for the cited work

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Observation b7f32515-66ee-41e5-a126-d04c7363765d · outbound

This paper cites Joint audio-visual deepfake detection,.

FauForensics: Boosting Audio-Visual Deepfake Detection with Facial Action Units Joint audio-visual deepfake detection,

Reference 22

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Observation af49a0d0-185a-46eb-b61c-925a798d3783 · outbound

This paper cites Lip sync matters: A novel multimodal forgery detector,.

FauForensics: Boosting Audio-Visual Deepfake Detection with Facial Action Units Lip sync matters: A novel multimodal forgery detector,

Reference 23

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Source-reported events for the cited work

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Observation 583f5f2f-d35b-4c67-bebc-7edfd2f9edef · outbound

This paper cites FakeOut: Leveraging Out-of-domain Self-supervision for Multi-modal Video Deepfake Detection.

FauForensics: Boosting Audio-Visual Deepfake Detection with Facial Action Units FakeOut: Leveraging Out-of-domain Self-supervision for Multi-modal Video Deepfake Detection

Reference 24

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Observation c8d0705e-c21c-4900-8afd-7ca3b686e5e8 · outbound

This paper cites Audio-visual person-of-interest deepfake detection,.

FauForensics: Boosting Audio-Visual Deepfake Detection with Facial Action Units Audio-visual person-of-interest deepfake detection,

Reference 25

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Observation 92a31de1-9012-419b-8180-dd0a4a365014 · outbound

This paper cites Avfakenet: A unified end-to-end dense swin transformer deep learning model for audio–visual deepfakes detection,.

FauForensics: Boosting Audio-Visual Deepfake Detection with Facial Action Units Avfakenet: A unified end-to-end dense swin transformer deep learning model for audio–visual deepfakes detection,

Reference 26

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Source-reported events for the cited work

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Observation f9654820-ab84-4a29-b355-f92d14cb88db · outbound

This paper cites Multimodaltrace: Deepfake detec- tion using audiovisual representation learning,.

FauForensics: Boosting Audio-Visual Deepfake Detection with Facial Action Units Multimodaltrace: Deepfake detec- tion using audiovisual representation learning,

Reference 27

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Source-reported events for the cited work

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Observation 9934479c-46ef-43a4-9aa6-de4253c7155a · outbound

This paper cites Detecting deep- fake videos from phoneme-viseme mismatches,.

FauForensics: Boosting Audio-Visual Deepfake Detection with Facial Action Units Detecting deep- fake videos from phoneme-viseme mismatches,

Reference 28

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Source-reported events for the cited work

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Observation b62e5c8b-4388-4c9e-bdc5-2b1392b6c7bd · outbound

This paper cites Leveraging real talking faces via self-supervision for robust forgery detection,.

FauForensics: Boosting Audio-Visual Deepfake Detection with Facial Action Units Leveraging real talking faces via self-supervision for robust forgery detection,

Reference 29

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Source-reported events for the cited work

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Observation 9e016df5-0bdd-4d37-8106-4779fc056ddb · outbound

This paper cites Audio-visual contrastive pre-train for face forgery detection,.

FauForensics: Boosting Audio-Visual Deepfake Detection with Facial Action Units Audio-visual contrastive pre-train for face forgery detection,

Reference 30

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Source-reported events for the cited work

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Observation d7ad8d2e-1e0d-49bd-b19c-015760620daa · outbound

This paper cites Lips are lying: Spotting the temporal inconsistency between audio and visual in lip- syncing deepfakes,.

FauForensics: Boosting Audio-Visual Deepfake Detection with Facial Action Units Lips are lying: Spotting the temporal inconsistency between audio and visual in lip- syncing deepfakes,

Reference 31

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Source-reported events for the cited work

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Observation 26bc6e87-4bc0-4742-80eb-0545daaf5403 · outbound

This paper cites Where deepfakes gaze at? spatial-temporal gaze inconsistency analysis for video face forgery detection,.

FauForensics: Boosting Audio-Visual Deepfake Detection with Facial Action Units Where deepfakes gaze at? spatial-temporal gaze inconsistency analysis for video face forgery detection,

Reference 32

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 9166e36c-1d09-452c-9e51-3f69f144f223 · outbound

This paper cites Protecting world leader using facial speaking pattern against deepfakes,.

FauForensics: Boosting Audio-Visual Deepfake Detection with Facial Action Units Protecting world leader using facial speaking pattern against deepfakes,

Reference 33

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T22:03:04.670375Z digest=sha256:e39559c9de613a90f0b0d97f4b17733e78e389d89a4d3744b61f23b71473b611

Observation fc1b9ba9-fd77-4d42-81d7-433bb1c782eb · outbound

This paper cites Aunet: Learning relations between action units for face forgery detection,.

FauForensics: Boosting Audio-Visual Deepfake Detection with Facial Action Units Aunet: Learning relations between action units for face forgery detection,

Reference 34

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verified fuzzy
raw_fallback, observed 2026-08-15T22:03:05.055582Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T22:03:04.673365Z digest=sha256:bf8ecfc67625e61345239e0e5c570066ca5b3d0df8d4e77973217611376dbe44

Observation 2efae5b9-1796-41bd-985c-8194e5aeff10 · outbound

This paper cites Listen to your face: Inferring facial action units from audio channel,.

FauForensics: Boosting Audio-Visual Deepfake Detection with Facial Action Units Listen to your face: Inferring facial action units from audio channel,

Reference 35

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verified fuzzy
raw_fallback, observed 2026-08-15T22:03:05.045527Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T22:03:04.677327Z digest=sha256:c9f21cd23541628b84a90c37ad9f337dd02433607e1928efd0f32b3a312d96d7

Observation 4063f500-9c70-48e5-8588-5cc43d444506 · outbound

This paper cites Lips don’t lie: A generalisable and robust approach to face forgery detection,.

FauForensics: Boosting Audio-Visual Deepfake Detection with Facial Action Units Lips don’t lie: A generalisable and robust approach to face forgery detection,

Reference 36

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verified fuzzy
raw_fallback, observed 2026-08-15T22:03:05.035510Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T22:03:04.680367Z digest=sha256:32573b0af4751830173cfe6884984b0dd9d632704cfaf515b88369cabc24cf8e

Observation b30809a2-38e1-43d2-b6b3-53ee787975fa · outbound

This paper cites Spatiotemporal inconsistency learning for deepfake video detection,.

FauForensics: Boosting Audio-Visual Deepfake Detection with Facial Action Units Spatiotemporal inconsistency learning for deepfake video detection,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:03:05.025455Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T22:03:04.683610Z digest=sha256:ef60a2ba90d750b99b0dcf973351d8a38576f13fdcd68c9119bfd0e9415344db

Observation 81dd975e-fb7c-4ffb-b965-5addfda0dc14 · outbound

This paper cites Istvt: interpretable spatial-temporal video transformer for deepfake detection,.

FauForensics: Boosting Audio-Visual Deepfake Detection with Facial Action Units Istvt: interpretable spatial-temporal video transformer for deepfake detection,

Reference 38

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unresolved
no resolver link, observed 2026-08-15T22:03:04.686628Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:03:04.686628Z digest=sha256:1f63b6583a8a287704bd0df4222731cf167593b918258550e4ada9c71a1a5b8d

Observation 3537acda-4b18-44c8-a7f4-9100373db9c6 · outbound

This paper cites Mintime: multi-identity size-invariant video deepfake detection,.

FauForensics: Boosting Audio-Visual Deepfake Detection with Facial Action Units Mintime: multi-identity size-invariant video deepfake detection,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:03:05.009038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T22:03:04.689716Z digest=sha256:9d696fb9524934a7b6b0ba0bea06816e0a78877b3b1cac332b00dcbebf20bbc7

Observation 858acb07-7f55-445d-9871-6c9a202e5dbc · outbound

This paper cites Deepfake video detection using audio-visual consistency,.

FauForensics: Boosting Audio-Visual Deepfake Detection with Facial Action Units Deepfake video detection using audio-visual consistency,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:03:04.998101Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T22:03:04.692829Z digest=sha256:50f550d6f8c6276a99cacd9cc4fca2ac42efa8d7ecaba826de0584f59ba83606

Observation a5f647c9-1d70-49dd-a815-e41a29ac33fa · outbound

This paper cites Self-supervised video forensics by audio-visual anomaly detection,.

FauForensics: Boosting Audio-Visual Deepfake Detection with Facial Action Units Self-supervised video forensics by audio-visual anomaly detection,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:03:04.987941Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T22:03:04.695820Z digest=sha256:71eed83e8096b496e40f5eb501983b1f9f747eea83ee111df03b52a2358ef7f7

Observation a925fb53-1c99-4585-a66c-c05b641fa9a7 · outbound

This paper cites V oice- face homogeneity tells deepfake,.

FauForensics: Boosting Audio-Visual Deepfake Detection with Facial Action Units V oice- face homogeneity tells deepfake,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:03:04.976104Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T22:03:04.698928Z digest=sha256:d6bffac5c615f9e8c7154c60a08c93a3c808a15f61b28cfe4ccf5840695e20f6

Observation 4f1f307b-8a21-4c6c-8b6f-3d0f0acc3fde · outbound

This paper cites Lost in translation: Lip-sync deepfake detection from audio-video mismatch,.

FauForensics: Boosting Audio-Visual Deepfake Detection with Facial Action Units Lost in translation: Lip-sync deepfake detection from audio-video mismatch,

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:03:04.966409Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T22:03:04.701748Z digest=sha256:c5802600b0079613745d0a122edbf5c611b8b2a91de21235fc85fafd604b5c4b

Observation 4884cc5e-60f3-415f-8cff-9fda2eb16db7 · outbound

This paper cites Avoid-df: Audio-visual joint learning for detecting deepfake,.

FauForensics: Boosting Audio-Visual Deepfake Detection with Facial Action Units Avoid-df: Audio-visual joint learning for detecting deepfake,

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:03:04.956817Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T22:03:04.704726Z digest=sha256:94d1f3986e6ac4e6a3611ed7a6d1059d979887a767b2fe44c94f64d40a8a0a1d

Observation cfe4e35a-8d7a-46a3-997d-6538774bb520 · outbound

This paper cites Speechforensics: Audio-visual speech representation learning for face forgery detection,.

FauForensics: Boosting Audio-Visual Deepfake Detection with Facial Action Units Speechforensics: Audio-visual speech representation learning for face forgery detection,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:03:04.946833Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T22:03:04.708178Z digest=sha256:7a8f2690db686fc19639e85b5961e83a298f5dbbbbf8dca9a655941d787d3b13

Observation 814633ce-f743-4d2d-a52d-0fa1e1206a22 · outbound

This paper cites Glcf: A global- local multimodal coherence analysis framework for talking face gener- ation detection,.

FauForensics: Boosting Audio-Visual Deepfake Detection with Facial Action Units Glcf: A global- local multimodal coherence analysis framework for talking face gener- ation detection,

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:03:04.937582Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T22:03:04.711014Z digest=sha256:cfb81a6a89761aff6f56d2add2d7ed939fca53edec29ccfcea43e3611fac731f

Observation 88a94b57-49f4-41e3-9a20-f1434b508660 · outbound

This paper cites Attention is all you need,.

FauForensics: Boosting Audio-Visual Deepfake Detection with Facial Action Units Attention is all you need,

Reference 47

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unresolved
no resolver link, observed 2026-08-15T22:03:04.713970Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:03:04.713970Z digest=sha256:a204bb252568e0f45f05f25b715f19be412f333452e107701eede08303a3eef6

Observation bbd281f2-1b76-45e3-801a-5b3ee26c9c79 · outbound

This paper cites Blip-2: Bootstrapping language- image pre-training with frozen image encoders and large language models,.

FauForensics: Boosting Audio-Visual Deepfake Detection with Facial Action Units Blip-2: Bootstrapping language- image pre-training with frozen image encoders and large language models,

Reference 48

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unresolved
no resolver link, observed 2026-08-15T22:03:04.716933Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:03:04.716933Z digest=sha256:2c2f0a911b0c7c62049d9e86e1ee602e0cc2e9af3270c4dc3bb6bd81c9ce3b1f

Observation cd868510-c94b-4184-82b3-ccc01c00767f · outbound

This paper cites Video classification with channel-separated convolutional networks,.

FauForensics: Boosting Audio-Visual Deepfake Detection with Facial Action Units Video classification with channel-separated convolutional networks,

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:03:04.915810Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T22:03:04.719994Z digest=sha256:2a25c52e13238f263f04c7a06c188f7c141e4cef5a1d270a60e3f8978a16befe

Observation 5750d4e0-d1a8-4287-adc9-7aba5911011d · outbound

This paper cites Learning multi- dimensional edge feature-based AU relation graph for facial action unit recognition,.

FauForensics: Boosting Audio-Visual Deepfake Detection with Facial Action Units Learning multi- dimensional edge feature-based AU relation graph for facial action unit recognition,

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:03:04.905848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T22:03:04.723163Z digest=sha256:85db530348f90cf9deb458b49caf4d8eb37b2ef56296dcfec387c8936fcd3214

Observation e0cbc688-6121-4f1e-ac19-334a6c8654c1 · outbound

This paper cites Robust speech recognition via large-scale weak super- vision,.

FauForensics: Boosting Audio-Visual Deepfake Detection with Facial Action Units Robust speech recognition via large-scale weak super- vision,

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-15T22:03:04.726268Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:03:04.726268Z digest=sha256:725454092e79687b6d78f89738d82feec0df953073d950b69203cacce29c9d7c

Observation 5e59edb0-f672-4e0a-a01b-4a8758e8a598 · outbound

This paper cites Disfa: A spontaneous facial action intensity database,.

FauForensics: Boosting Audio-Visual Deepfake Detection with Facial Action Units Disfa: A spontaneous facial action intensity database,

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:03:04.889797Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T22:03:04.729289Z digest=sha256:2e47759584742866d7bc81cb51369a6fe0ff04b419f2500fbde159dcaf7a5f00

Observation 7d3a034b-c3ff-4646-9e32-044eecbd36a8 · outbound

This paper cites Do you really mean that? content driven audio-visual deepfake dataset and multimodal method for temporal forgery localization,.

FauForensics: Boosting Audio-Visual Deepfake Detection with Facial Action Units Do you really mean that? content driven audio-visual deepfake dataset and multimodal method for temporal forgery localization,

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:03:04.879062Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T22:03:04.732733Z digest=sha256:2fa373e5641118524cffeea6cf3d303974ab6fc8d941c1ac04e961cf366cec09

Observation 8035a6a3-4318-4012-955e-648292e3cd87 · outbound

This paper cites FakeAVCeleb: A Novel Audio-Video Multimodal Deepfake Dataset.

FauForensics: Boosting Audio-Visual Deepfake Detection with Facial Action Units FakeAVCeleb: A Novel Audio-Video Multimodal Deepfake Dataset

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-15T22:03:04.735976Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:03:04.735976Z digest=sha256:87c341cd22d66922cebac7bae146c6cca52d49ae1feeb423d226c616e352a51e

Observation 8b3d3957-2071-4dbb-86c7-27f3914f3989 · outbound

This paper cites End-to-end spectro-temporal graph attention networks for speaker ver- ification anti-spoofing and speech deepfake detection,.

FauForensics: Boosting Audio-Visual Deepfake Detection with Facial Action Units End-to-end spectro-temporal graph attention networks for speaker ver- ification anti-spoofing and speech deepfake detection,

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:03:04.868558Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T22:03:04.739503Z digest=sha256:0d8c563163ccf2c2767047f76db936d9ea6477c70d8e24ebbb98c7c296fc85f1

Observation 5189f6af-6f07-43e7-9967-1186937ae62d · outbound

This paper cites Automatic speaker verification spoofing and deepfake detection using wav2vec 2.0 and data augmentation,.

FauForensics: Boosting Audio-Visual Deepfake Detection with Facial Action Units Automatic speaker verification spoofing and deepfake detection using wav2vec 2.0 and data augmentation,

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:03:04.858124Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T22:03:04.742565Z digest=sha256:e7fa0800b33ec4bfbd86d7f35f241b11e0abc41349b23d628d7e598a1a3696a8

Observation 4860fe32-1109-4f1c-8fac-78e61fb4041e · outbound

This paper cites Hearing and seeing abnormal- ity: Self-supervised audio-visual mutual learning for deepfake detection,.

FauForensics: Boosting Audio-Visual Deepfake Detection with Facial Action Units Hearing and seeing abnormal- ity: Self-supervised audio-visual mutual learning for deepfake detection,

Reference 57

Resolution
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raw_fallback, observed 2026-08-15T22:03:04.846979Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T22:03:04.745669Z digest=sha256:b67354f15663bae69423ec0e3056de69d99d03b609c3d90b23eda109edd7941a

Observation c8542e66-7e22-4a6b-bc69-bd1f296964f9 · outbound

This paper cites AdamP: Slowing Down the Slowdown for Momentum Optimizers on Scale-invariant Weights.

FauForensics: Boosting Audio-Visual Deepfake Detection with Facial Action Units AdamP: Slowing Down the Slowdown for Momentum Optimizers on Scale-invariant Weights

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-15T22:03:04.748868Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:03:04.748868Z digest=sha256:720d4af2223da84bd8d003a79a24151e03c266f9a45c0b17f06748df8528a840

Observation 9d0824ab-2f3a-45e8-8c3b-a8da9c4ce73a · outbound

This paper cites Deeperforensics- 1.0: A large-scale dataset for real-world face forgery detection,.

FauForensics: Boosting Audio-Visual Deepfake Detection with Facial Action Units Deeperforensics- 1.0: A large-scale dataset for real-world face forgery detection,

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:03:04.835778Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T22:03:04.752061Z digest=sha256:99f3fac594a6446d1ca940b800ce41bfa21b0ec6b32cd3c8b4ba12f19b940d32

Observation 536378a0-0ad4-4f86-b740-5c328fcaa503 · outbound

This paper cites Visualizing data using t-sne.

FauForensics: Boosting Audio-Visual Deepfake Detection with Facial Action Units Visualizing data using t-sne

Reference 60

Resolution
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raw_fallback, observed 2026-08-15T22:03:04.823539Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T22:03:04.755177Z digest=sha256:bea3a40c9685a3a338fff1d1b6902ef1a7b3a811dbf6a28715270d68bd40e4dd

Pith citing papers

No inbound Pith citation observations are available.