Paper Citation Record · LEDGER

Exploring Depth Information for Detecting Manipulated Face Videos

As of 18 August 2026, this Paper Citation Record lists 62 of 62 outbound references and 1 inbound Pith citation observation for arXiv:2411.18572.

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

pith.paper-citation-record.v1
2411.18572 v1

Coverage vector

measured 62 of 62 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T11:07:33.024715Z

measured 63 of 63 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:26:58.647254Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T15:27:01.283805Z

Reference resolution

62 of 62 outbound references displayed

verified exact0
verified fuzzy38
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a0c12662-291a-4d49-b290-38649dc5233a · outbound

This paper cites Deferred neural rendering: Image synthesis using neural textures,.

Exploring Depth Information for Detecting Manipulated Face Videos Deferred neural rendering: Image synthesis using neural textures,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:07:33.684107Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 5180e1e5-39f5-4190-8aca-2e25ffe74e70 · outbound

This paper cites Face2face: Real-time face capture and reenactment of rgb videos,.

Exploring Depth Information for Detecting Manipulated Face Videos Face2face: Real-time face capture and reenactment of rgb videos,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-12T11:07:32.808990Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 55651918-2d42-41e5-aafb-28bc7622c3ed · outbound

This paper cites DeepFaceLab: Integrated, flexible and extensible face-swapping framework.

Exploring Depth Information for Detecting Manipulated Face Videos DeepFaceLab: Integrated, flexible and extensible face-swapping framework

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-12T11:07:32.812700Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 79d2bcb0-d607-4f51-8df3-b1491ab98a6b · outbound

This paper cites Poisson image editing,.

Exploring Depth Information for Detecting Manipulated Face Videos Poisson image editing,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:07:33.666434Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation a4f60b6b-8ee5-47d0-90ef-85c7ffdeb890 · outbound

This paper cites FaceShifter: Towards High Fidelity And Occlusion Aware Face Swapping.

Exploring Depth Information for Detecting Manipulated Face Videos FaceShifter: Towards High Fidelity And Occlusion Aware Face Swapping

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-12T11:07:32.820802Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8eb890e3-9a89-4a3e-9c04-a303e0900ff9 · outbound

This paper cites Fakepolisher: Making deepfakes more detection- evasive by shallow reconstruction,.

Exploring Depth Information for Detecting Manipulated Face Videos Fakepolisher: Making deepfakes more detection- evasive by shallow reconstruction,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:07:33.655805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 69ff6a46-df26-4d1b-913e-0ad8edc032ef · outbound

This paper cites Faceswap,.

Exploring Depth Information for Detecting Manipulated Face Videos Faceswap,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:07:33.644894Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 8c50a5c2-1796-41bf-9d17-416aa6c00a61 · outbound

This paper cites Deep residual learning for image recognition,.

Exploring Depth Information for Detecting Manipulated Face Videos Deep residual learning for image recognition,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-12T11:07:32.833340Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c350d576-320b-41d0-8865-ce76d3c472bf · outbound

This paper cites Faceforensics++: Learning to detect manipulated facial images,.

Exploring Depth Information for Detecting Manipulated Face Videos Faceforensics++: Learning to detect manipulated facial images,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:07:33.628004Z

Source-reported events for the cited work

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Observation 8646e044-3b3f-46c4-a7aa-7293321f1142 · outbound

This paper cites Mesonet: a compact facial video forgery detection network,.

Exploring Depth Information for Detecting Manipulated Face Videos Mesonet: a compact facial video forgery detection network,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-12T11:07:32.840397Z

Source-reported events for the cited work

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Observation 31911a82-d03a-44a8-b6ff-77d75931f852 · outbound

This paper cites Efficientnet: Rethinking model scaling for con- volutional neural networks,.

Exploring Depth Information for Detecting Manipulated Face Videos Efficientnet: Rethinking model scaling for con- volutional neural networks,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-12T11:07:32.843967Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4e7dacbe-72e6-4e14-a1e5-571978893f41 · outbound

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

Exploring Depth Information for Detecting Manipulated Face Videos Face x-ray for more general face forgery detection,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-12T11:07:32.847676Z

Source-reported events for the cited work

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Observation 6a820a7a-1dd6-4928-9d3d-8e2babb6f2aa · outbound

This paper cites Exposing deepfake face forgeries with guided residuals,.

Exploring Depth Information for Detecting Manipulated Face Videos Exposing deepfake face forgeries with guided residuals,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:07:33.597585Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation c0217c8f-b46a-402c-92f0-77312f4d4620 · outbound

This paper cites Id- reveal: Identity-aware deepfake video detection,.

Exploring Depth Information for Detecting Manipulated Face Videos Id- reveal: Identity-aware deepfake video detection,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:07:33.587060Z

Source-reported events for the cited work

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Observation fcf4e7da-57f6-4067-884e-8d61cae25a37 · outbound

This paper cites Wilddeepfake: A challenging real-world dataset for deepfake detection,.

Exploring Depth Information for Detecting Manipulated Face Videos Wilddeepfake: A challenging real-world dataset for deepfake detection,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:07:33.575879Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 87120220-90dd-42f7-a5c9-dc7bad93a519 · outbound

This paper cites Finding facial forgery artifacts with parts-based detectors,.

Exploring Depth Information for Detecting Manipulated Face Videos Finding facial forgery artifacts with parts-based detectors,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:07:33.565532Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation a6d3ec91-a1b2-47e5-95d2-603a48e7af21 · outbound

This paper cites Exploiting fine- grained face forgery clues via progressive enhancement learning,.

Exploring Depth Information for Detecting Manipulated Face Videos Exploiting fine- grained face forgery clues via progressive enhancement learning,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:07:33.555028Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 6d0506e4-d058-4089-8634-359238c7738c · outbound

This paper cites Local relation learn- ing for face forgery detection,.

Exploring Depth Information for Detecting Manipulated Face Videos Local relation learn- ing for face forgery detection,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:07:33.544896Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 2656e705-6dd6-4a8e-9bcd-62e97f1c3529 · outbound

This paper cites Face forgery detection by 3d decomposition,.

Exploring Depth Information for Detecting Manipulated Face Videos Face forgery detection by 3d decomposition,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:07:33.533942Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation e3a11205-b07f-4985-a1b7-37a15a6290ce · outbound

This paper cites Multi- attentional deepfake detection,.

Exploring Depth Information for Detecting Manipulated Face Videos Multi- attentional deepfake detection,

Reference 20

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Source-reported events for the cited work

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Observation 88ed097a-3034-4fd3-badc-99aecc1c3d34 · outbound

This paper cites Pixel bleach network for detecting face forgery under compression,.

Exploring Depth Information for Detecting Manipulated Face Videos Pixel bleach network for detecting face forgery under compression,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:07:33.516147Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 04305215-14b4-48a1-85d3-0eef1300604b · outbound

This paper cites Exposingaicreated fakevideosbyde- tectingeyeblinking,.

Exploring Depth Information for Detecting Manipulated Face Videos Exposingaicreated fakevideosbyde- tectingeyeblinking,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:07:33.505394Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 8f9fd1d2-c27d-4029-8522-16dae37f0933 · outbound

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

Exploring Depth Information for Detecting Manipulated Face Videos Lips don’t lie: A generalisable and robust approach to face forgery detection,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:07:33.494001Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 43111c0c-915d-4826-af31-8ccdfd2eafce · outbound

This paper cites Poster: Towards robust open-world detection of deepfakes,.

Exploring Depth Information for Detecting Manipulated Face Videos Poster: Towards robust open-world detection of deepfakes,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:07:33.483183Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 78747b1b-67d9-4595-98e5-09980a4585aa · outbound

This paper cites Capsule-forensics: Using capsule networks to detect forged images and videos,.

Exploring Depth Information for Detecting Manipulated Face Videos Capsule-forensics: Using capsule networks to detect forged images and videos,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:07:33.472486Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 34645832-9ac8-4565-ab90-6cc59c42f9ee · outbound

This paper cites Exploring temporal coherence for more general video face forgery detection,.

Exploring Depth Information for Detecting Manipulated Face Videos Exploring temporal coherence for more general video face forgery detection,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:07:33.461773Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 4494c3f5-c84d-4e5e-8d0a-c0f3491676ab · outbound

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

Exploring Depth Information for Detecting Manipulated Face Videos Spatiotemporal inconsistency learning for deepfake video detection,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:07:33.451101Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation ce9e20e1-51cb-43b8-bced-aaa13d671022 · outbound

This paper cites Detecting deepfake videos with temporal dropout 3dcnn.

Exploring Depth Information for Detecting Manipulated Face Videos Detecting deepfake videos with temporal dropout 3dcnn

Reference 28

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Source-reported events for the cited work

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Observation fdfa1872-22ed-4666-be8e-903469feb17a · outbound

This paper cites Deepfake video detection with spatiotemporal dropout transformer,.

Exploring Depth Information for Detecting Manipulated Face Videos Deepfake video detection with spatiotemporal dropout transformer,

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-12T11:07:32.909510Z

Source-reported events for the cited work

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Observation f28d1b90-d635-4d98-89d6-0c0b174dbd3c · outbound

This paper cites Delving into the local: Dynamic inconsistency learning for deepfake video detection,.

Exploring Depth Information for Detecting Manipulated Face Videos Delving into the local: Dynamic inconsistency learning for deepfake video detection,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:07:33.434532Z

Source-reported events for the cited work

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Observation bb4d9c50-2e19-4054-a2ce-7e5747cfffb9 · outbound

This paper cites Unsupervised learning-based framework for deepfake video detection,.

Exploring Depth Information for Detecting Manipulated Face Videos Unsupervised learning-based framework for deepfake video detection,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:07:33.423842Z

Source-reported events for the cited work

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Observation 0bd97d3d-e946-479f-821e-41154c45b555 · outbound

This paper cites Celeb-df: A large- scale challenging dataset for deepfake forensics,.

Exploring Depth Information for Detecting Manipulated Face Videos Celeb-df: A large- scale challenging dataset for deepfake forensics,

Reference 32

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Observation 6f90dd4a-df1d-442b-90c3-0529369d2275 · outbound

This paper cites Joint 3d face recon- struction and dense alignment with position map regression network,.

Exploring Depth Information for Detecting Manipulated Face Videos Joint 3d face recon- struction and dense alignment with position map regression network,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:07:33.406859Z

Source-reported events for the cited work

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Observation 467396a5-bae5-4331-a18a-c66f2f9fb6c3 · outbound

This paper cites Face depth prediction by the scene depth,.

Exploring Depth Information for Detecting Manipulated Face Videos Face depth prediction by the scene depth,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:07:33.396385Z

Source-reported events for the cited work

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Observation a94098e7-260d-40cf-9b9b-bb671baa7a08 · outbound

This paper cites Dual spoof disentanglement generation for face anti-spoofing with depth uncertainty learning,.

Exploring Depth Information for Detecting Manipulated Face Videos Dual spoof disentanglement generation for face anti-spoofing with depth uncertainty learning,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:07:33.385393Z

Source-reported events for the cited work

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Observation 71242bae-6679-4635-89e6-cae673601960 · outbound

This paper cites Facial depth and normal estimation using single dual-pixel camera,.

Exploring Depth Information for Detecting Manipulated Face Videos Facial depth and normal estimation using single dual-pixel camera,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:07:33.374582Z

Source-reported events for the cited work

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Observation 921ae94b-699a-4db0-ba11-5f6277ff114a · outbound

This paper cites Xception: Deep learning with depthwise separable convolu- tions,.

Exploring Depth Information for Detecting Manipulated Face Videos Xception: Deep learning with depthwise separable convolu- tions,

Reference 37

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Source-reported events for the cited work

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Observation 00e1454f-dcda-4ce3-abec-6e31846b478b · outbound

This paper cites Stargan: Unified generative adversarial networks for multi-domain image-to- image translation,.

Exploring Depth Information for Detecting Manipulated Face Videos Stargan: Unified generative adversarial networks for multi-domain image-to- image translation,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:07:33.357776Z

Source-reported events for the cited work

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Observation d9ab6ff4-cb35-4f6b-85d8-f2f647b0711a · outbound

This paper cites Attgan: Facial attribute editing by only changing what you want,.

Exploring Depth Information for Detecting Manipulated Face Videos Attgan: Facial attribute editing by only changing what you want,

Reference 39

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Observation 8e93fef8-2b0d-440f-a097-ccf9319c76d5 · outbound

This paper cites Cnn- generated images are surprisingly easy to spot... for now,.

Exploring Depth Information for Detecting Manipulated Face Videos Cnn- generated images are surprisingly easy to spot... for now,

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-12T11:07:32.947901Z

Source-reported events for the cited work

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Observation 3a4e077f-cc8c-41f4-b421-42563761c53f · outbound

This paper cites What makes fake images detectable? understanding properties that generalize,.

Exploring Depth Information for Detecting Manipulated Face Videos What makes fake images detectable? understanding properties that generalize,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:07:33.336311Z

Source-reported events for the cited work

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Observation 1ab397c3-fc98-4f46-b063-a9e270375cf7 · outbound

This paper cites Learning self- consistency for deepfake detection,.

Exploring Depth Information for Detecting Manipulated Face Videos Learning self- consistency for deepfake detection,

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-12T11:07:32.954287Z

Source-reported events for the cited work

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Observation 5c2dd611-0066-45fb-8382-1652f4e251f3 · outbound

This paper cites Patch diffusion: a general module for face manipulation detection,.

Exploring Depth Information for Detecting Manipulated Face Videos Patch diffusion: a general module for face manipulation detection,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:07:33.320999Z

Source-reported events for the cited work

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Observation 10d1b1ce-5af9-450d-b0da-8c77a013a29b · outbound

This paper cites On the detection of digital face manipulation,.

Exploring Depth Information for Detecting Manipulated Face Videos On the detection of digital face manipulation,

Reference 44

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Source-reported events for the cited work

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Observation 0b616ba4-6fae-458a-823e-20ef3c9103d8 · outbound

This paper cites Two-branch recurrent network for isolating deepfakes in videos,.

Exploring Depth Information for Detecting Manipulated Face Videos Two-branch recurrent network for isolating deepfakes in videos,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:07:33.304845Z

Source-reported events for the cited work

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Observation 392f6f2f-5073-4f82-b892-147b466b6542 · outbound

This paper cites Leveraging frequency analysis for deep fake image recogni- tion,.

Exploring Depth Information for Detecting Manipulated Face Videos Leveraging frequency analysis for deep fake image recogni- tion,

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-12T11:07:32.968523Z

Source-reported events for the cited work

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Observation 58a0c89e-f4b3-417e-9a8e-fb7a957bf965 · outbound

This paper cites Thinking in frequency: Face forgery detection by mining frequency-aware clues,.

Exploring Depth Information for Detecting Manipulated Face Videos Thinking in frequency: Face forgery detection by mining frequency-aware clues,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:07:33.288168Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 7560f9c9-0de6-49c3-8e98-0772918d61b1 · outbound

This paper cites High-accuracy rgb-d face recognition via segmentation-aware face depth estimation and mask-guided attention network,.

Exploring Depth Information for Detecting Manipulated Face Videos High-accuracy rgb-d face recognition via segmentation-aware face depth estimation and mask-guided attention network,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:07:33.277761Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 228657b1-336c-4822-9c9d-c78a8c08b8fd · outbound

This paper cites Deep spatial gradient and temporal depth learning for face anti- spoofing,.

Exploring Depth Information for Detecting Manipulated Face Videos Deep spatial gradient and temporal depth learning for face anti- spoofing,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:07:33.267066Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 7b516cce-b0dc-429f-b5f5-3d530901b578 · outbound

This paper cites Attention-based spatial- temporal multi-scale network for face anti-spoofing,.

Exploring Depth Information for Detecting Manipulated Face Videos Attention-based spatial- temporal multi-scale network for face anti-spoofing,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:07:33.256431Z

Source-reported events for the cited work

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Observation 9d1ad4e4-83f0-465a-bb02-e09a5873f03e · outbound

This paper cites An image is worth 16x16 words: Transformers for image recognition at scale,.

Exploring Depth Information for Detecting Manipulated Face Videos An image is worth 16x16 words: Transformers for image recognition at scale,

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-12T11:07:32.985846Z

Source-reported events for the cited work

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Observation 6322d8af-77fa-4b47-a2de-b23749a87e70 · outbound

This paper cites Attention is all you need,.

Exploring Depth Information for Detecting Manipulated Face Videos Attention is all you need,

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-12T11:07:32.989579Z

Source-reported events for the cited work

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Observation aebba77d-f243-4105-b4f0-12453d0395de · outbound

This paper cites Faceswap,.

Exploring Depth Information for Detecting Manipulated Face Videos Faceswap,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:07:33.232314Z

Source-reported events for the cited work

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Observation 35452609-7ba0-4799-bf44-b2e71f1d3406 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Exploring Depth Information for Detecting Manipulated Face Videos Adam: A Method for Stochastic Optimization

Reference 54

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Observation 37ddff39-d35d-4413-ba65-ec8ee8264a88 · outbound

This paper cites Domain general face forgery detection by learning to weight,.

Exploring Depth Information for Detecting Manipulated Face Videos Domain general face forgery detection by learning to weight,

Reference 55

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Observation 171e630c-7ad5-462d-bd78-4364c984961a · outbound

This paper cites Detecting compressed deepfake videos in social networks using frame-temporality two-stream convolu- tional network,.

Exploring Depth Information for Detecting Manipulated Face Videos Detecting compressed deepfake videos in social networks using frame-temporality two-stream convolu- tional network,

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:07:33.215609Z

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Observation 42d63b2c-e0f2-401d-b71a-0dad5c157579 · outbound

This paper cites Spatial-phase shallow learning: rethinking face forgery detection in frequency domain,.

Exploring Depth Information for Detecting Manipulated Face Videos Spatial-phase shallow learning: rethinking face forgery detection in frequency domain,

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:07:33.205377Z

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Observation 19946732-1e0a-45c8-bbda-8d95281c0608 · outbound

This paper cites Dynamic inconsistency-aware deepfake video detection.

Exploring Depth Information for Detecting Manipulated Face Videos Dynamic inconsistency-aware deepfake video detection

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:07:33.194913Z

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Observation 1e59e07c-11f8-40a5-933b-74f34a5d4afd · outbound

This paper cites Finfer: Frame inference- based deepfake detection for high-visual-quality videos,.

Exploring Depth Information for Detecting Manipulated Face Videos Finfer: Frame inference- based deepfake detection for high-visual-quality videos,

Reference 59

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Observation af42b54a-2e0f-477d-b340-8c9e9af00b5b · outbound

This paper cites Dsanet: Dynamic segment aggregation network for video-level representation learning,.

Exploring Depth Information for Detecting Manipulated Face Videos Dsanet: Dynamic segment aggregation network for video-level representation learning,

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:07:33.178109Z

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Observation e71b0341-f741-4784-8b43-7a753f3515e8 · outbound

This paper cites The Deepfake Detection Challenge (DFDC) Preview Dataset.

Exploring Depth Information for Detecting Manipulated Face Videos The Deepfake Detection Challenge (DFDC) Preview Dataset

Reference 61

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Observation 655a2066-0507-448d-b6cf-b589b9aca699 · outbound

This paper cites Grad-cam: Visual explanations from deep networks via gradient-based localization,.

Exploring Depth Information for Detecting Manipulated Face Videos Grad-cam: Visual explanations from deep networks via gradient-based localization,

Reference 62

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Pith citing papers

Observation 97f193b6-0890-403e-8b58-e6db7fecf709 · 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 Exploring Depth Information for Detecting Manipulated Face Videos

Reference 50

Resolution: verified exact; local_arxiv, observed 2026-08-07T15:27:01.335494Z

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