Paper Citation Record · LEDGER

Generating and Detecting Various Types of Fake Image and Audio Content: A Review of Modern Deep Learning Technologies and Tools

As of 13 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 0 inbound Pith citation observations for arXiv:2501.06227.

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

pith.paper-citation-record.v1
2501.06227 v1

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T21:46:35.431512Z

measured 30 of 30 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+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

30 of 30 outbound references displayed

verified exact0
verified fuzzy22
unresolved8
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e1b3d9d7-0ce0-4f16-8785-9f574061b793 · outbound

This paper cites Comparison of deepfake detection techniques through deep learning,.

Generating and Detecting Various Types of Fake Image and Audio Content: A Review of Modern Deep Learning Technologies and Tools Comparison of deepfake detection techniques through deep learning,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:46:36.132511Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 05ba1839-31f5-41b7-9cab-06d96501266e · outbound

This paper cites Deep learning for deepfakes creation and detection: A survey,.

Generating and Detecting Various Types of Fake Image and Audio Content: A Review of Modern Deep Learning Technologies and Tools Deep learning for deepfakes creation and detection: A survey,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:46:36.113746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 7dbfc72a-c2ab-4a6d-9d66-6d404252b747 · outbound

This paper cites Deepfake attacks: Generation, detection, datasets, challenges, and research directions,.

Generating and Detecting Various Types of Fake Image and Audio Content: A Review of Modern Deep Learning Technologies and Tools Deepfake attacks: Generation, detection, datasets, challenges, and research directions,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:46:36.094010Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 4339fddb-7a7d-4fd1-a602-6401c82cfba3 · outbound

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

Generating and Detecting Various Types of Fake Image and Audio Content: A Review of Modern Deep Learning Technologies and Tools DeepFaceLab: Integrated, flexible and extensible face-swapping framework

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-10T21:46:35.251126Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 222ce49e-c1fb-4b42-a7d9-11b1de7adea6 · outbound

This paper cites Deepfake generation and detection: A benchmark and survey,.

Generating and Detecting Various Types of Fake Image and Audio Content: A Review of Modern Deep Learning Technologies and Tools Deepfake generation and detection: A benchmark and survey,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-10T21:46:35.262774Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c715bf23-71bc-4ffb-add9-62160bbcd1f4 · outbound

This paper cites Understanding the Impact of AI -Generated Deepfakes on Public Opinion, Political Discourse, and Personal Security in Social Media,.

Generating and Detecting Various Types of Fake Image and Audio Content: A Review of Modern Deep Learning Technologies and Tools Understanding the Impact of AI -Generated Deepfakes on Public Opinion, Political Discourse, and Personal Security in Social Media,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:46:36.072067Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation ca546535-f39e-40a0-8b7d-1c00087903a1 · outbound

This paper cites Deepfake video detection: challenges and opportunities,.

Generating and Detecting Various Types of Fake Image and Audio Content: A Review of Modern Deep Learning Technologies and Tools Deepfake video detection: challenges and opportunities,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:46:36.054529Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation ed6ea3d9-6b34-46aa-9181-60ce1813996b · outbound

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

Generating and Detecting Various Types of Fake Image and Audio Content: A Review of Modern Deep Learning Technologies and Tools Simswap: An efficient framework for high fidelity face swapping,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:46:36.036109Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 0b794af9-8e29-4570-b3a0-23d5fc6be8f3 · outbound

This paper cites Deepfake generation and detection: Case study and challenges,.

Generating and Detecting Various Types of Fake Image and Audio Content: A Review of Modern Deep Learning Technologies and Tools Deepfake generation and detection: Case study and challenges,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:46:36.013253Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation c7264720-e43d-4f3e-8c30-bfdbb2adfea8 · outbound

This paper cites Attention is all you need,.

Generating and Detecting Various Types of Fake Image and Audio Content: A Review of Modern Deep Learning Technologies and Tools Attention is all you need,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-10T21:46:35.303552Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 93fbf302-6d6b-4ad4-aa5a-27ec949da77e · outbound

This paper cites Brahme, Comprehensive biomedical physics.

Generating and Detecting Various Types of Fake Image and Audio Content: A Review of Modern Deep Learning Technologies and Tools Brahme, Comprehensive biomedical physics

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:46:35.982532Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 8a9bafd5-7ea9-4086-afdd-7eea66d6ebdc · outbound

This paper cites Pattern recognition and machine learning,.

Generating and Detecting Various Types of Fake Image and Audio Content: A Review of Modern Deep Learning Technologies and Tools Pattern recognition and machine learning,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:46:35.967214Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation a6682564-dfbf-4074-a2c7-8696d01babe8 · outbound

This paper cites Deep learning,.

Generating and Detecting Various Types of Fake Image and Audio Content: A Review of Modern Deep Learning Technologies and Tools Deep learning,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:46:35.951483Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 0b177362-954d-4f65-bfed-6083cc769182 · outbound

This paper cites Imagenet classification with deep convolutional neural networks,.

Generating and Detecting Various Types of Fake Image and Audio Content: A Review of Modern Deep Learning Technologies and Tools Imagenet classification with deep convolutional neural networks,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-10T21:46:35.331870Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 49da8634-905d-4b71-a9a2-d44679d3cb6b · outbound

This paper cites Backpropagation applied to handwritten zip code recognition,.

Generating and Detecting Various Types of Fake Image and Audio Content: A Review of Modern Deep Learning Technologies and Tools Backpropagation applied to handwritten zip code recognition,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:46:35.925707Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 606120ad-6071-4e0f-a805-6890cf8acfaa · outbound

This paper cites Neural network model for a mechanism of pattern recognition unaffected by shift in position-neocognitron,.

Generating and Detecting Various Types of Fake Image and Audio Content: A Review of Modern Deep Learning Technologies and Tools Neural network model for a mechanism of pattern recognition unaffected by shift in position-neocognitron,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:46:35.908044Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 13a975fe-ceef-449a-9bb4-96c1fd3667e8 · outbound

This paper cites Phoneme Recognition Using Time -Delay Neural Network,.

Generating and Detecting Various Types of Fake Image and Audio Content: A Review of Modern Deep Learning Technologies and Tools Phoneme Recognition Using Time -Delay Neural Network,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:46:35.887288Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 5d81741e-ac06-4d4f-a99b-910603fea3f4 · outbound

This paper cites Neural networks and physical systems with emergent collective computational abilities,.

Generating and Detecting Various Types of Fake Image and Audio Content: A Review of Modern Deep Learning Technologies and Tools Neural networks and physical systems with emergent collective computational abilities,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:46:35.866029Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation e33ac263-a5f0-4ac3-b787-b59ae3d94826 · outbound

This paper cites On the Properties of Neural Machine Translation: Encoder-Decoder Approaches.

Generating and Detecting Various Types of Fake Image and Audio Content: A Review of Modern Deep Learning Technologies and Tools On the Properties of Neural Machine Translation: Encoder-Decoder Approaches

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-10T21:46:35.359140Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dee111a2-2380-4a5d-b6c4-f1db81ebfe81 · outbound

This paper cites A comprehensive overview of Deepfake: Generation, detection, datasets, and opportunities,.

Generating and Detecting Various Types of Fake Image and Audio Content: A Review of Modern Deep Learning Technologies and Tools A comprehensive overview of Deepfake: Generation, detection, datasets, and opportunities,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:46:35.847615Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation aa51fb1d-6a82-40be-ad8b-e3c5f337af85 · outbound

This paper cites Fine -grained face swapping via regional gan inversion,.

Generating and Detecting Various Types of Fake Image and Audio Content: A Review of Modern Deep Learning Technologies and Tools Fine -grained face swapping via regional gan inversion,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:46:35.827483Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 8e402c93-aac4-414e-b621-549de44433c6 · outbound

This paper cites ShapeEditor: A stylegan encoder for stable and high fidelity face swapping,.

Generating and Detecting Various Types of Fake Image and Audio Content: A Review of Modern Deep Learning Technologies and Tools ShapeEditor: A stylegan encoder for stable and high fidelity face swapping,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:46:35.809135Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation a93fa877-eabf-40b5-b074-9bf456c5b961 · outbound

This paper cites The creation and detection of deepfakes: A survey,.

Generating and Detecting Various Types of Fake Image and Audio Content: A Review of Modern Deep Learning Technologies and Tools The creation and detection of deepfakes: A survey,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:46:35.789340Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 912a70d6-1181-4efd-9356-1e344709a8d9 · outbound

This paper cites Denoising diffusion probabilistic models,.

Generating and Detecting Various Types of Fake Image and Audio Content: A Review of Modern Deep Learning Technologies and Tools Denoising diffusion probabilistic models,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-10T21:46:35.395935Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3a468240-9221-4a96-9cfc-f1cadb43c29b · outbound

This paper cites Exposing Lip-syncing Deepfakes from Mouth Inconsistencies.

Generating and Detecting Various Types of Fake Image and Audio Content: A Review of Modern Deep Learning Technologies and Tools Exposing Lip-syncing Deepfakes from Mouth Inconsistencies

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-10T21:46:35.401511Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e5304f04-724f-40e0-a94d-9a47c2d7a47c · outbound

This paper cites Designing a New Non -parallel Training Method to Voice Conversion with Better Performance than Parallel Training,.

Generating and Detecting Various Types of Fake Image and Audio Content: A Review of Modern Deep Learning Technologies and Tools Designing a New Non -parallel Training Method to Voice Conversion with Better Performance than Parallel Training,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:46:35.758139Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation d3908702-c621-43a1-be30-cce44d65213e · outbound

This paper cites Parallel vs. Non -Parallel Voice Conversion for Esophageal Speech,.

Generating and Detecting Various Types of Fake Image and Audio Content: A Review of Modern Deep Learning Technologies and Tools Parallel vs. Non -Parallel Voice Conversion for Esophageal Speech,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:46:35.741459Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 2b9d71a3-406a-4561-af3b-fbeb9fdc7b30 · outbound

This paper cites Voice Conversion With Just Nearest Neighbors.

Generating and Detecting Various Types of Fake Image and Audio Content: A Review of Modern Deep Learning Technologies and Tools Voice Conversion With Just Nearest Neighbors

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-10T21:46:35.419044Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 45c32775-038f-41f6-95a5-1e4753d22398 · outbound

This paper cites Wavlm: Large-scale self-supervised pre-training for full stack speech processing,.

Generating and Detecting Various Types of Fake Image and Audio Content: A Review of Modern Deep Learning Technologies and Tools Wavlm: Large-scale self-supervised pre-training for full stack speech processing,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:46:35.722017Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation ab710b78-fc1f-439c-a21e-52b5dd2bacf5 · outbound

This paper cites Hifi-gan: Generative adversarial networks for efficient and high fidelity speech synthesis,.

Generating and Detecting Various Types of Fake Image and Audio Content: A Review of Modern Deep Learning Technologies and Tools Hifi-gan: Generative adversarial networks for efficient and high fidelity speech synthesis,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:46:35.699905Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Pith citing papers

No inbound Pith citation observations are available.