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Paper Citation Record · LEDGER

Detecting Facial Image Manipulations with Multi-Layer CNN Models

As of 17 August 2026, this Paper Citation Record lists 17 of 17 outbound references and 0 inbound Pith citation observations for arXiv:2412.06643.

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

pith.paper-citation-record.v1
2412.06643 v1

Coverage vector

measured 17 of 17 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T19:29:53.996914Z

measured 17 of 17 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+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

17 of 17 outbound references displayed

  • verified exact0
  • verified fuzzy8
  • unresolved9
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c55dac9a-df77-4900-a123-d93eac675775 · outbound

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

Detecting Facial Image Manipulations with Multi-Layer CNN Models On the detection of digital face manipulation,

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T19:29:54.185297Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T19:29:53.938542Z digest=sha256:3f8faa07f7eae20ab80c01c51e8aa3dcbf4da1790faa7d28f79ba70022d9397c

Observation e0b71574-6d7e-4cb1-b23c-9ae5c7d81010 · outbound

This paper cites Fused classification for differential face morphing detection,.

Detecting Facial Image Manipulations with Multi-Layer CNN Models Fused classification for differential face morphing detection,

Reference 2

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verified fuzzy
raw_fallback, observed 2026-08-11T19:29:54.175983Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T19:29:53.942829Z digest=sha256:352df43fa75fff30d45965f3a1c1e78178a67e38f0b58694272acc7118e086e6

Observation befab4cf-fbad-408b-9412-cd16b292a7f1 · outbound

This paper cites Research on Splicing Image Detection Algorithms Based on Natural Image Statistical Characteristics.

Detecting Facial Image Manipulations with Multi-Layer CNN Models Research on Splicing Image Detection Algorithms Based on Natural Image Statistical Characteristics

Reference 3

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unresolved
no resolver link, observed 2026-08-11T19:29:53.946697Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T19:29:53.946697Z digest=sha256:035fef1ddca1ff8e4799f78e83e00e66b0a7401ebe1b667780ae32a160d08f29

Observation 21c3db91-ae8f-4f96-bafe-eb2850dd300d · outbound

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

Detecting Facial Image Manipulations with Multi-Layer CNN Models Faceforensics++: Learning to detect manipulated facial images,

Reference 4

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verified fuzzy
raw_fallback, observed 2026-08-11T19:29:54.166274Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T19:29:53.950852Z digest=sha256:aa86c68cb6580b9d85f5917badb2fafbc191e004453ed4a5d932000d960783f6

Observation 0486a002-19fb-46b0-9a3f-62b61fcb85aa · outbound

This paper cites Singh, G.

Detecting Facial Image Manipulations with Multi-Layer CNN Models Singh, G

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T19:29:54.155446Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T19:29:53.954514Z digest=sha256:4d4862756427e07872d95982b55573a3e44edb38d5e018ca8bbac23aae497bbc

Observation 5d641a43-d7cd-44b3-936a-c205692759ac · outbound

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

Detecting Facial Image Manipulations with Multi-Layer CNN Models Mesonet: a compact facial video forgery detection network,

Reference 6

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unresolved
no resolver link, observed 2026-08-11T19:29:53.958551Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T19:29:53.958551Z digest=sha256:3c0f1ed04f75eb4890d25dfe1f25f2aa7bb4989b2ce6a6d782b407c9fb63a864

Observation 59a0286b-28e2-4d48-bfd9-799e04c23382 · outbound

This paper cites Denoising diffusion probabilistic models,.

Detecting Facial Image Manipulations with Multi-Layer CNN Models Denoising diffusion probabilistic models,

Reference 7

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unresolved
no resolver link, observed 2026-08-11T19:29:53.962599Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T19:29:53.962599Z digest=sha256:64ed4dbfd67b346673bd79117658460294bac98f0a5e01c1d15315105891cc3f

Observation 9406e015-0417-442a-9faa-7c104868c80b · outbound

This paper cites How generative adversarial networks and their variants work: An overview,.

Detecting Facial Image Manipulations with Multi-Layer CNN Models How generative adversarial networks and their variants work: An overview,

Reference 8

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unresolved
no resolver link, observed 2026-08-11T19:29:53.965863Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T19:29:53.965863Z digest=sha256:da15a88f3624cc3c2fc31e73d3eb88d81de387eba0a0dc34b35ae928405c341c

Observation 7f79b54e-d37a-4e83-a2d2-812ba86be2e2 · outbound

This paper cites DiffFace: Diffusion-based Face Swapping with Facial Guidance.

Detecting Facial Image Manipulations with Multi-Layer CNN Models DiffFace: Diffusion-based Face Swapping with Facial Guidance

Reference 9

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unresolved
no resolver link, observed 2026-08-11T19:29:53.968712Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T19:29:53.968712Z digest=sha256:1df28d25c6b14fdd627c9dd64ed9c13197a14c355da9800c7a9864b83971c535

Observation c2a6364a-ba4a-405d-9344-bc349c1506e1 · outbound

This paper cites Detecting and grounding multi-modal media manipulation,.

Detecting Facial Image Manipulations with Multi-Layer CNN Models Detecting and grounding multi-modal media manipulation,

Reference 10

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unresolved
no resolver link, observed 2026-08-11T19:29:53.971792Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T19:29:53.971792Z digest=sha256:f4fb0d9c1f35f9171e5a7ce671ef3466b2f9588576cc459bba4cbedcfe95e15a

Observation 1a926542-2cbf-4320-8f9a-c35a1a047d12 · outbound

This paper cites Controlface: Feature disentangling for controllable face swapping,.

Detecting Facial Image Manipulations with Multi-Layer CNN Models Controlface: Feature disentangling for controllable face swapping,

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T19:29:54.115870Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T19:29:53.975554Z digest=sha256:3df33858a18dea50f6b2eabcb86b95d22bee8cc6cc0f623551d649d7e2ef1c74

Observation f77954e1-e47a-4f7b-9de3-7067c3a22f9d · outbound

This paper cites Learning structure and strength of cnn filters for small sample size training,.

Detecting Facial Image Manipulations with Multi-Layer CNN Models Learning structure and strength of cnn filters for small sample size training,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T19:29:54.104319Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T19:29:53.979148Z digest=sha256:f41e529882c4fc923e84ebdd0735f2f33e8a6854b0dd45baa374e7d4f8076ea7

Observation c8aa558c-b7e1-45b9-8ffb-f668f1956c4a · outbound

This paper cites Using cnn for facial expression recognition: a study of the effects of kernel size and number of filters on accuracy,.

Detecting Facial Image Manipulations with Multi-Layer CNN Models Using cnn for facial expression recognition: a study of the effects of kernel size and number of filters on accuracy,

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T19:29:54.092098Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T19:29:53.982597Z digest=sha256:3e55fe0b5ebf367dd59e71551f8bb9e51f76aa494a89023376c0ba4fbe7fb31c

Observation 4c840a88-7aa1-4488-9562-5416603be7ce · outbound

This paper cites Shape predictor 68-point facial landmark detector,.

Detecting Facial Image Manipulations with Multi-Layer CNN Models Shape predictor 68-point facial landmark detector,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T19:29:54.080730Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T19:29:53.986067Z digest=sha256:c1475c10973979c311995054d9d57ac329a0bcc65a6a3fec34b6c781f83064f5

Observation 67be5b66-724d-4813-960c-67dd76652d5c · outbound

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

Detecting Facial Image Manipulations with Multi-Layer CNN Models Celeb-df: A large- scale challenging dataset for deepfake forensics,

Reference 15

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unresolved
no resolver link, observed 2026-08-11T19:29:53.989183Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T19:29:53.989183Z digest=sha256:8b54c6790045e812e873fa9184e6f9cedb84a473dff3101aeb3a88cb6e8e8f98

Observation c3f08b6a-dae5-442d-96a3-e31c53c7bc74 · outbound

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

Detecting Facial Image Manipulations with Multi-Layer CNN Models The DeepFake Detection Challenge (DFDC) Dataset

Reference 16

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unresolved
no resolver link, observed 2026-08-11T19:29:53.992852Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T19:29:53.992852Z digest=sha256:46d965a9c678bc251b01b88c7f08108f7daa5ae495d52e1b0ca36a20b374cb42

Observation 1aa95036-3985-4d56-b07d-7b63cee0d76b · outbound

This paper cites DiffusionDB: A Large-scale Prompt Gallery Dataset for Text-to-Image Generative Models.

Detecting Facial Image Manipulations with Multi-Layer CNN Models DiffusionDB: A Large-scale Prompt Gallery Dataset for Text-to-Image Generative Models

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-11T19:29:53.996914Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T19:29:53.996914Z digest=sha256:a64cf9a5f70e638f0a014ee905e40019be655182edab5e40660d3cc450bc3fdf

Pith citing papers

No inbound Pith citation observations are available.