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Paper Citation Record · LEDGER

Why Fake ? Unveiling the Semantic Vocabulary of Deepfake Detectors

As of 9 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 0 inbound Pith citation observations for arXiv:2607.07216.

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

pith.paper-citation-record.v1
2607.07216 v1

Coverage vector

measured 45 of 45 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-09T17:12:53.262559Z

measured 45 of 45 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+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

45 of 45 outbound references displayed

  • verified exact11
  • verified fuzzy34
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f06f9376-bfba-4406-9be1-b7f7984bda54 · outbound

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

Why Fake ? Unveiling the Semantic Vocabulary of Deepfake Detectors Mesonet: a compact facial video forgery detection network

Reference 1

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raw_fallback, observed 2026-07-09T17:16:23.457171Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-09T17:12:53.262559Z digest=sha256:2b20f1b0b48f16a5215d89e1a0181b783353b427616a8f1aacd57cb9ecf576e7

Observation 80a19eac-db84-4bf5-abd9-fc38d963f640 · outbound

This paper cites Mechanistic Interpretability for AI Safety -- A Review.

Why Fake ? Unveiling the Semantic Vocabulary of Deepfake Detectors Mechanistic Interpretability for AI Safety -- A Review

Reference 2

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verified exact
local_arxiv, observed 2026-07-09T17:16:23.155245Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-09T17:12:53.262559Z digest=sha256:bab5534e773345ebbbb67da763b458ab9798a65e5067ecc8c5d24d17433856f2

Observation 5ff2af12-e06e-46e6-9a89-875b24caae05 · outbound

This paper cites Hyperreenact: one- shot reenactment via jointly learning to refine and retarget faces.

Why Fake ? Unveiling the Semantic Vocabulary of Deepfake Detectors Hyperreenact: one- shot reenactment via jointly learning to refine and retarget faces

Reference 3

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raw_fallback, observed 2026-07-09T17:16:23.500839Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-09T17:12:53.262559Z digest=sha256:856e22dc8f173efd488d4205a6e436a5848f4c477344b8f263c83c1053096351

Observation 94082c9d-6bc9-4c7b-8714-0086f7444de1 · outbound

This paper cites Protoexplorer: Interpretable foren- sic analysis of deepfake videos using prototype exploration and refinement.Information Visualization, 23(3):239–257,.

Why Fake ? Unveiling the Semantic Vocabulary of Deepfake Detectors Protoexplorer: Interpretable foren- sic analysis of deepfake videos using prototype exploration and refinement.Information Visualization, 23(3):239–257,

Reference 4

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raw_fallback, observed 2026-07-09T17:16:23.502565Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-09T17:12:53.262559Z digest=sha256:6e0004a851b9d8568fa96994a4bf524e54b2960f4c57ca667cdf2ee76f4c5ff6

Observation 5b4bb117-b2ce-472e-8d1e-6de3ea67815c · outbound

This paper cites Self-supervised learning of adversarial example: Towards good generalizations for deepfake detection.

Why Fake ? Unveiling the Semantic Vocabulary of Deepfake Detectors Self-supervised learning of adversarial example: Towards good generalizations for deepfake detection

Reference 5

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raw_fallback, observed 2026-07-09T17:16:23.478652Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-09T17:12:53.262559Z digest=sha256:6108058900b2b397b10704f4ad542bb1a33aee9beb16f3c07ff428fc04a53953

Observation 7f34a5ae-90a5-49a9-9b4b-8ab113de554b · outbound

This paper cites Simswap: An efficient framework for high fidelity face swapping.

Why Fake ? Unveiling the Semantic Vocabulary of Deepfake Detectors Simswap: An efficient framework for high fidelity face swapping

Reference 6

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raw_fallback, observed 2026-07-09T17:16:23.469236Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-09T17:12:53.262559Z digest=sha256:a90eb35eb3bef85a9ab158a71d9d5c6ca9eb66dc8b2e15f29427666c8474384e

Observation e4767285-c2b7-4910-832e-7025a0391845 · outbound

This paper cites Deep fakes: A looming challenge for privacy, democracy, and national security.Calif.

Why Fake ? Unveiling the Semantic Vocabulary of Deepfake Detectors Deep fakes: A looming challenge for privacy, democracy, and national security.Calif

Reference 7

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raw_fallback, observed 2026-07-09T17:16:23.480952Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-09T17:12:53.262559Z digest=sha256:7c8c69adf46533cced0bfe78a172478b28476f7f930da1bf941022ae0df2e098

Observation eb13ca7e-63b4-4a29-adc1-cea9cb3afdd9 · outbound

This paper cites Xception: Deep learning with depthwise separable convolutions.

Why Fake ? Unveiling the Semantic Vocabulary of Deepfake Detectors Xception: Deep learning with depthwise separable convolutions

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-09T17:12:53.262559Z digest=sha256:da767bdc8275f58d0b9c76a9ffe55b29c96b68cb0e006b69c146fc829bcb9b13

Observation 1e6efa9b-3af4-4148-b73e-aa9e997f861e · outbound

This paper cites Face transformer: Towards high fidelity and accurate face swapping.

Why Fake ? Unveiling the Semantic Vocabulary of Deepfake Detectors Face transformer: Towards high fidelity and accurate face swapping

Reference 9

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raw_fallback, observed 2026-07-09T17:16:23.492934Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-09T17:12:53.262559Z digest=sha256:2b3edf557e42f09f18e6397f91bf8b671397ae501e1bf59616b152e939217b5e

Observation cfd9182b-44c7-4c7e-9bd8-1ad9be94c2da · outbound

This paper cites The DeepFake Detection Challenge (DFDC) Dataset.

Why Fake ? Unveiling the Semantic Vocabulary of Deepfake Detectors The DeepFake Detection Challenge (DFDC) Dataset

Reference 10

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local_arxiv, observed 2026-07-09T17:16:23.161540Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-09T17:12:53.262559Z digest=sha256:5b7ea4160766f97eed3ba80d96fa21e1b249f4a5a35a8e284d9556f290129c2e

Observation 726c8d11-9155-4b7a-a20c-e3162b0ce112 · outbound

This paper cites Learning Encoding-Decoding Direction Pairs to Unveil Concepts of Influence in Deep Vision Networks.

Why Fake ? Unveiling the Semantic Vocabulary of Deepfake Detectors Learning Encoding-Decoding Direction Pairs to Unveil Concepts of Influence in Deep Vision Networks

Reference 11

Resolution
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arxiv_id, observed 2026-07-22T01:22:14.093143Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-09T17:12:53.262559Z digest=sha256:439e5a2b834eac6b421523894a8faa536023e106ac88faf17e34572667273d3d

Observation 3384f98a-f210-448e-9238-b419f7e3db51 · outbound

This paper cites Audcast: Audio-driven human video generation by cascaded diffusion transformers.

Why Fake ? Unveiling the Semantic Vocabulary of Deepfake Detectors Audcast: Audio-driven human video generation by cascaded diffusion transformers

Reference 12

Resolution
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raw_fallback, observed 2026-07-09T17:16:23.507789Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-09T17:12:53.262559Z digest=sha256:51f26b379efc31b0a5eed4daea675622b1b0d82bce73700f9e3341ec10f83f8d

Observation a2e4bb81-3bbe-48e6-a194-4300a02c5fec · outbound

This paper cites Forgerynet: A versatile benchmark for comprehensive forgery analysis.

Why Fake ? Unveiling the Semantic Vocabulary of Deepfake Detectors Forgerynet: A versatile benchmark for comprehensive forgery analysis

Reference 13

Resolution
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raw_fallback, observed 2026-07-09T17:16:23.472807Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-09T17:12:53.262559Z digest=sha256:3a43f6e91d18bb713d9886667423f56e90ee974ed8b0284aed0c48887ef12030

Observation fc21d4d7-66d6-4594-bc4d-5516fe59b36e · outbound

This paper cites Exddv: A new dataset for explainable deepfake detection in video.arXiv preprint arXiv:2503.14421, 2025.

Why Fake ? Unveiling the Semantic Vocabulary of Deepfake Detectors Exddv: A new dataset for explainable deepfake detection in video.arXiv preprint arXiv:2503.14421, 2025

Reference 14

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arxiv_id, observed 2026-07-09T17:16:23.157924Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-09T17:12:53.262559Z digest=sha256:0d036574b640ec6a9b98c518770f94b3fd897ae462bf8849da1262a089f739a6

Observation fa949ac6-b2a3-4e63-9760-7d3e6eea793f · outbound

This paper cites Delocate: Detection and Localization for Deepfake Videos with Randomly-Located Tampered Traces.

Why Fake ? Unveiling the Semantic Vocabulary of Deepfake Detectors Delocate: Detection and Localization for Deepfake Videos with Randomly-Located Tampered Traces

Reference 15

Resolution
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local_arxiv, observed 2026-07-09T17:16:23.135473Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-09T17:12:53.262559Z digest=sha256:d15ea5d571443f4aa52a03f6a42431641f186b319fa85f381f7d65c5d55a1d87

Observation b77e1282-996f-4141-8465-ebdc250416be · outbound

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

Why Fake ? Unveiling the Semantic Vocabulary of Deepfake Detectors Deeperforensics-1.0: A large-scale dataset for real-world face forgery detection

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-09T17:12:53.262559Z digest=sha256:53021da6b74eedf7e9374bf36e9a848b9b6fd6e159acac4098333bb373a56a89

Observation ad9fbbd0-f456-4e4d-a6c1-775f18412472 · outbound

This paper cites A comprehen- sive survey of deepfake generation and detection techniques in audio-visual media.ICCK Journal of Image Analysis and Processing, 1(2):73–95, 2025.

Why Fake ? Unveiling the Semantic Vocabulary of Deepfake Detectors A comprehen- sive survey of deepfake generation and detection techniques in audio-visual media.ICCK Journal of Image Analysis and Processing, 1(2):73–95, 2025

Reference 17

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raw_fallback, observed 2026-07-09T17:16:23.511790Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-09T17:12:53.262559Z digest=sha256:bf918d33f4a653a2686bd50c3b8fae98d15c43a9716bf6103654b8a130638a95

Observation 2790c457-0edd-426d-b4aa-93f7dc0cf49a · outbound

This paper cites Smooth- swap: A simple enhancement for face-swapping with smooth- ness.

Why Fake ? Unveiling the Semantic Vocabulary of Deepfake Detectors Smooth- swap: A simple enhancement for face-swapping with smooth- ness

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-09T17:12:53.262559Z digest=sha256:ec68ecf7ecc8c1e36facc31879232c6416bafa9ba206b3ab3838ff00360ce070

Observation 00524056-5b79-4e63-850d-fcd7441e8d9b · outbound

This paper cites Diffface: Diffusion-based face swapping with facial guidance.

Why Fake ? Unveiling the Semantic Vocabulary of Deepfake Detectors Diffface: Diffusion-based face swapping with facial guidance

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-09T17:12:53.262559Z digest=sha256:4b6a2dd3c100b38b00649ffc1ee2af6ccd7bb5698a2c65aae0167a58a590fe05

Observation 1329c9b7-547b-4b47-b3a1-b454951415b2 · outbound

This paper cites Beyond spa- tial frequency: Pixel-wise temporal frequency-based deepfake video detection.

Why Fake ? Unveiling the Semantic Vocabulary of Deepfake Detectors Beyond spa- tial frequency: Pixel-wise temporal frequency-based deepfake video detection

Reference 20

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-09T17:12:53.262559Z digest=sha256:65b533b8a20ceb9376505b34346364f473e83988ec84935d68e7d5413e83e223

Observation e3669fa8-b382-405c-8522-44f4c283e4dd · outbound

This paper cites Fast face-swap using convolutional neural networks.

Why Fake ? Unveiling the Semantic Vocabulary of Deepfake Detectors Fast face-swap using convolutional neural networks

Reference 21

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-09T17:12:53.262559Z digest=sha256:dfcf08f7ae810bec8cf288ae837fcf2a2d0ac0fe700be9400e7e0a021a0f6c33

Observation 4de2f26e-5dfd-4af6-a5bc-c817f74d2ea5 · outbound

This paper cites In ictu oculi: Exposing ai created fake videos by detecting eye blinking.

Why Fake ? Unveiling the Semantic Vocabulary of Deepfake Detectors In ictu oculi: Exposing ai created fake videos by detecting eye blinking

Reference 22

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-09T17:12:53.262559Z digest=sha256:ca56254563c104367bf0458d9fe660b64b69ce7b5d63e4eac044c828fdbfce5c

Observation ddb84e01-a893-4d19-8fe6-899e64931a9f · outbound

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

Why Fake ? Unveiling the Semantic Vocabulary of Deepfake Detectors Celeb-df: A large-scale challenging dataset for deepfake forensics

Reference 23

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raw_fallback, observed 2026-07-09T17:16:23.455278Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-09T17:12:53.262559Z digest=sha256:5ff324a7f90949a1dbc1bafa913700e1299b9b8a41d1a13e624b1ee6596095c6

Observation 8bebe635-bf4a-498f-a7d0-c1e0184f5c50 · outbound

This paper cites Deepfacelab: Integrated, flexible and extensible face-swapping framework.Pattern Recognition, 141:109628, 2023.

Why Fake ? Unveiling the Semantic Vocabulary of Deepfake Detectors Deepfacelab: Integrated, flexible and extensible face-swapping framework.Pattern Recognition, 141:109628, 2023

Reference 24

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raw_fallback, observed 2026-07-09T17:16:23.515698Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-09T17:12:53.262559Z digest=sha256:51b81e73649a03d97abed99ad05b4e78f6808aadac8de94541b7a0b48e94e427

Observation 8a0cdf33-a457-4bd5-92ff-56d38e6950c9 · outbound

This paper cites Canonswap: High- fidelity and consistent video face swapping via canonical space modulation.

Why Fake ? Unveiling the Semantic Vocabulary of Deepfake Detectors Canonswap: High- fidelity and consistent video face swapping via canonical space modulation

Reference 25

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raw_fallback, observed 2026-07-09T17:16:23.459039Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-09T17:12:53.262559Z digest=sha256:3be5ce04216420888c1dff43eddc2bb98e3a499d2f6c5c5399bb05a4d591a968

Observation 74a7e4fa-b560-4381-b844-5df561239c5a · outbound

This paper cites Explainable ai for deepfake detection.Applied Sciences, 15(2):725.

Why Fake ? Unveiling the Semantic Vocabulary of Deepfake Detectors Explainable ai for deepfake detection.Applied Sciences, 15(2):725

Reference 26

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raw_fallback, observed 2026-07-09T17:16:23.462074Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-09T17:12:53.262559Z digest=sha256:07d91f3481945957c265e12b5e50db4dab71953c58caba07a137ef4b40fa3efb

Observation 86656b58-89f0-40ef-98b5-66d4d4a605dc · outbound

This paper cites Multi-spectral Class Center Network for Face Manipulation Detection and Localization.

Why Fake ? Unveiling the Semantic Vocabulary of Deepfake Detectors Multi-spectral Class Center Network for Face Manipulation Detection and Localization

Reference 27

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local_arxiv, observed 2026-07-09T17:16:23.120652Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-09T17:12:53.262559Z digest=sha256:a503c092f04edf4b70c48b1adae37c29e0d6f7075741c6aafca57eb16d71c23f

Observation 4ca256f5-a58f-4e80-bd50-d60eb5d4151a · outbound

This paper cites Ddl: A dataset for interpretable deepfake detec- tion and localization in real-world scenarios.arXiv preprint arXiv:2506.23292, 2025.

Why Fake ? Unveiling the Semantic Vocabulary of Deepfake Detectors Ddl: A dataset for interpretable deepfake detec- tion and localization in real-world scenarios.arXiv preprint arXiv:2506.23292, 2025

Reference 28

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arxiv_id, observed 2026-07-09T17:16:23.143588Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-09T17:12:53.262559Z digest=sha256:37900aaa4e11ab03802cd40793217e5f1baa0e5a12018256ba04be860d793d08

Observation bc0bf201-baf9-44fa-85aa-09fd5acd5122 · outbound

This paper cites Robust Semantic Interpretability: Revisiting Concept Activation Vectors.

Why Fake ? Unveiling the Semantic Vocabulary of Deepfake Detectors Robust Semantic Interpretability: Revisiting Concept Activation Vectors

Reference 29

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verified exact
local_arxiv, observed 2026-07-09T17:16:23.151074Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-09T17:12:53.262559Z digest=sha256:4befecd62156b23b1a0a6ddf44979fd1dbefd27d511bdf0d1b523477209b1e85

Observation 126d30da-d6ef-43b8-9100-8c095ad3ead2 · outbound

This paper cites A lip sync expert is all you need for speech to lip generation in the wild.

Why Fake ? Unveiling the Semantic Vocabulary of Deepfake Detectors A lip sync expert is all you need for speech to lip generation in the wild

Reference 30

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raw_fallback, observed 2026-07-09T17:16:23.463923Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-09T17:12:53.262559Z digest=sha256:15439941aa0103c4e5db135647f79e9a9156da5a8fd592afeae7a344a4e367a0

Observation dc093ec6-07cc-44ab-9ff8-a8750dddce96 · outbound

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

Why Fake ? Unveiling the Semantic Vocabulary of Deepfake Detectors Thinking in frequency: Face forgery detection by mining frequency-aware clues

Reference 31

Resolution
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raw_fallback, observed 2026-07-09T17:16:23.470960Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-09T17:12:53.262559Z digest=sha256:fff1a950af9d51f0b3fe7953dcd7ea6de4b55c98643004f9ca5cdabcbbcfd056

Observation a2e02e97-79a1-46b5-8431-77a333a808f5 · outbound

This paper cites SkyReels-A1: Expressive Portrait Animation in Video Diffusion Transformers.

Why Fake ? Unveiling the Semantic Vocabulary of Deepfake Detectors SkyReels-A1: Expressive Portrait Animation in Video Diffusion Transformers

Reference 32

Resolution
verified exact
local_arxiv, observed 2026-07-09T17:16:23.131843Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-09T17:12:53.262559Z digest=sha256:a7062da1fd1af45df05213b71f936652be830a625dbe4c66447d6934df6d5e6e

Observation 78ab78a1-3ffa-4cf8-9e53-e583aa543789 · outbound

This paper cites Fsrt: Fa- cial scene representation transformer for face reenactment from factorized appearance head-pose and facial expression features.

Why Fake ? Unveiling the Semantic Vocabulary of Deepfake Detectors Fsrt: Fa- cial scene representation transformer for face reenactment from factorized appearance head-pose and facial expression features

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T17:16:23.474478Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-09T17:12:53.262559Z digest=sha256:bf09bb2ad8f5ad9bfbd02f31551580b70c0807ca0ec99ad1fd682ee367208d9c

Observation b8d6cd68-486a-4169-bfe3-f0bc761f5d24 · outbound

This paper cites FaceForen- sics++: Learning to detect manipulated facial images.

Why Fake ? Unveiling the Semantic Vocabulary of Deepfake Detectors FaceForen- sics++: Learning to detect manipulated facial images

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T17:16:23.513613Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-09T17:12:53.262559Z digest=sha256:efcb6e3678f9e709b3e50c099dd4e4609c703ef2c46fd871de93cd455aa9798a

Observation c20279c6-f48c-405e-9a16-701ce5dec0a0 · outbound

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

Why Fake ? Unveiling the Semantic Vocabulary of Deepfake Detectors Grad- cam: Visual explanations from deep networks via gradient- based localization

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T17:16:23.450222Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-09T17:12:53.262559Z digest=sha256:d2d61d0dec5f9c6b933b9ca341695a5f5dddc469ddb9a20241dd3f759973e984

Observation e7f4ab5c-da87-4d72-af4f-4f6b121a46db · outbound

This paper cites Extracting local information from global representations for interpretable deepfake detection.

Why Fake ? Unveiling the Semantic Vocabulary of Deepfake Detectors Extracting local information from global representations for interpretable deepfake detection

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T17:16:23.446517Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-09T17:12:53.262559Z digest=sha256:ed1fad7e90ee6dd46dcbf01cf5799b85c4d4e24a517688355bbdd491fd98bcf7

Observation 0d178325-73dd-4f59-84a5-0730e98479df · outbound

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

Why Fake ? Unveiling the Semantic Vocabulary of Deepfake Detectors Face2face: Real-time face capture and reenactment of rgb videos

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T17:16:23.451859Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-09T17:12:53.262559Z digest=sha256:160dc66ef05b4483c5b8d8587d3bf0e7ad5cc224ae03bb1de9ee2f5f7e8b4a32

Observation 7bed60b5-617e-499c-a562-de725fff7840 · outbound

This paper cites Dynamicface: High-quality and consistent face swapping for image and video using composable 3d facial priors.

Why Fake ? Unveiling the Semantic Vocabulary of Deepfake Detectors Dynamicface: High-quality and consistent face swapping for image and video using composable 3d facial priors

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T17:16:23.448199Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-09T17:12:53.262559Z digest=sha256:3ff866ff1eb1e351a62d32ccad2f0bb7c39390c2857c0eb85b37269d55598789

Observation 6ade0037-c54f-440e-8e68-63f2225df1ed · outbound

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

Why Fake ? Unveiling the Semantic Vocabulary of Deepfake Detectors Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detection

Reference 39

Resolution
verified exact
local_arxiv, observed 2026-07-09T17:16:23.140023Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-09T17:12:53.262559Z digest=sha256:a975e48f9808dc445d4d2bc18ed5a52a8e4eb38c2757a306735eb54c41f13a66

Observation a307bc51-2e95-429f-b0cb-5fd059737066 · outbound

This paper cites Df40: Toward next-generation deepfake detection.Advances in Neural Information Process- ing Systems, 37:29387–29434, 2024.

Why Fake ? Unveiling the Semantic Vocabulary of Deepfake Detectors Df40: Toward next-generation deepfake detection.Advances in Neural Information Process- ing Systems, 37:29387–29434, 2024

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T17:16:23.444043Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-09T17:12:53.262559Z digest=sha256:fefc8af210211b1ceb04f5e9924f7a06ee1c63cefeda112b0b577f07a262cc1f

Observation b5c20973-e1be-4bd3-b196-1b5a45930dfa · outbound

This paper cites Exposing deep fakes using inconsistent head poses.

Why Fake ? Unveiling the Semantic Vocabulary of Deepfake Detectors Exposing deep fakes using inconsistent head poses

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T17:16:23.466481Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-09T17:12:53.262559Z digest=sha256:3d45ffce54152a58de4c555f6e39f9e508e62a81080fa63b36ac8db1f8c1be11

Observation 68c15884-e1b7-4814-b553-2b6cb8b2b89f · outbound

This paper cites Dreamid: High-fidelity and fast diffusion-based face swapping via triplet id group learning.

Why Fake ? Unveiling the Semantic Vocabulary of Deepfake Detectors Dreamid: High-fidelity and fast diffusion-based face swapping via triplet id group learning

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T17:16:23.494686Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-09T17:12:53.262559Z digest=sha256:3279888013a2dca5fcb363048e4d2596c66da7a5904fd5ba6881a230704be448

Observation a0c0dcc8-3dd5-4c68-b3ec-27391620f323 · outbound

This paper cites Unlocking the Hidden Potential of CLIP in Generalizable Deepfake Detection.

Why Fake ? Unveiling the Semantic Vocabulary of Deepfake Detectors Unlocking the Hidden Potential of CLIP in Generalizable Deepfake Detection

Reference 43

Resolution
verified exact
local_arxiv, observed 2026-07-09T17:16:23.147276Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-09T17:12:53.262559Z digest=sha256:ea25d1225334743717f8389a8ea9e04f572126fe2bac40c0eddc6ae3d4c03148

Observation 2082b13f-8570-4109-bdd0-d4d88aba0610 · outbound

This paper cites Sadtalker: Learning realistic 3d motion coefficients for stylized audio- driven single image talking face animation.

Why Fake ? Unveiling the Semantic Vocabulary of Deepfake Detectors Sadtalker: Learning realistic 3d motion coefficients for stylized audio- driven single image talking face animation

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T17:16:23.505854Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-09T17:12:53.262559Z digest=sha256:390f15f1a7619b9925acc1d364449e42397271dc1a3ddfc1a73133847c798363

Observation da78b9d4-0e9e-4acc-b1dc-7bdd4349478c · outbound

This paper cites Diffswap: High-fidelity and controllable face swapping via 3d-aware masked diffusion.

Why Fake ? Unveiling the Semantic Vocabulary of Deepfake Detectors Diffswap: High-fidelity and controllable face swapping via 3d-aware masked diffusion

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T17:16:23.509594Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-09T17:12:53.262559Z digest=sha256:00fe15c70b303d0db010e51eb77345891ab56c594a542d319a5261d5b2e4fc7e

Pith citing papers

No inbound Pith citation observations are available.