Paper Citation Record · LEDGER

LightFFDNets: Lightweight Convolutional Neural Networks for Rapid Facial Forgery Detection

As of 15 August 2026, this Paper Citation Record lists 68 of 68 outbound references and 1 inbound Pith citation observation for arXiv:2411.11826.

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

pith.paper-citation-record.v1
2411.11826 v1

Coverage vector

measured 68 of 68 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T18:10:55.726436Z

measured 69 of 69 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T17:19:14.186416Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T05:30:23.456663Z

Reference resolution

68 of 68 outbound references displayed

verified exact3
verified fuzzy34
unresolved27
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External citation measurements

2
pith, observed 2026-08-10T05:30:23.456663Z

Outbound references

Observation 5c037224-fbce-4126-94fd-ad3370bbe265 · outbound

This paper cites Electronics 9(8), 1188 (2020).

LightFFDNets: Lightweight Convolutional Neural Networks for Rapid Facial Forgery Detection Electronics 9(8), 1188 (2020)

Reference 1

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Observation 7dbcf614-e004-4cf4-9131-c19ff498aa47 · outbound

This paper cites ExTTNet: A Deep Learning Algorithm for Extracting Table Texts from Invoice Images.

LightFFDNets: Lightweight Convolutional Neural Networks for Rapid Facial Forgery Detection ExTTNet: A Deep Learning Algorithm for Extracting Table Texts from Invoice Images

Reference 2

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Observation 38d698fc-37b0-4e50-9721-fd32723bbb32 · outbound

This paper cites Hyper-Realist Rendering: A Theoretical Framework.

LightFFDNets: Lightweight Convolutional Neural Networks for Rapid Facial Forgery Detection Hyper-Realist Rendering: A Theoretical Framework

Reference 3

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LightFFDNets: Lightweight Convolutional Neural Networks for Rapid Facial Forgery Detection Unresolved cited work

Reference 4

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Observation b00ee149-4466-4628-b96f-a8d1254c9ea5 · outbound

This paper cites MelNet: A Real-Time Deep Learning Algorithm for Object Detection.

LightFFDNets: Lightweight Convolutional Neural Networks for Rapid Facial Forgery Detection MelNet: A Real-Time Deep Learning Algorithm for Object Detection

Reference 5

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Observation fcce1ea7-0bf8-4c38-8adc-04694973a243 · outbound

This paper cites Computer Graphics Forum 30(8), 2427–2439 (2011).

LightFFDNets: Lightweight Convolutional Neural Networks for Rapid Facial Forgery Detection Computer Graphics Forum 30(8), 2427–2439 (2011)

Reference 6

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Observation 633c45b0-8664-4b0a-ae53-5bc7a3e87e77 · outbound

This paper cites Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 13(2), 1484 (2023).

LightFFDNets: Lightweight Convolutional Neural Networks for Rapid Facial Forgery Detection Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 13(2), 1484 (2023)

Reference 8

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Observation 7dc46fa4-bf06-4f29-bc31-a9465e2d266e · outbound

This paper cites In: Neural Networks and Applications (NEUREL), 13th Symposium, pp.

LightFFDNets: Lightweight Convolutional Neural Networks for Rapid Facial Forgery Detection In: Neural Networks and Applications (NEUREL), 13th Symposium, pp

Reference 9

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Observation 2cd19806-c444-44ab-827e-14d2e5b40042 · outbound

This paper cites https: //www.kaggle.com/datasets/hamzaboulahia/ hardfakevsrealfaces (2023).

LightFFDNets: Lightweight Convolutional Neural Networks for Rapid Facial Forgery Detection https: //www.kaggle.com/datasets/hamzaboulahia/ hardfakevsrealfaces (2023)

Reference 10

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Observation 86feeec3-bc37-4af2-a1b7-bbf28bfd5ea9 · outbound

This paper cites In: Proceedings of the 28th Spring Conference on Computer Graphics, SCCG ’12, pp.

LightFFDNets: Lightweight Convolutional Neural Networks for Rapid Facial Forgery Detection In: Proceedings of the 28th Spring Conference on Computer Graphics, SCCG ’12, pp

Reference 11

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Observation a76d477f-96dc-4f28-a607-3c180e88d07b · outbound

This paper cites A Review on Deep Learning Techniques Applied to Semantic Segmentation.

LightFFDNets: Lightweight Convolutional Neural Networks for Rapid Facial Forgery Detection A Review on Deep Learning Techniques Applied to Semantic Segmentation

Reference 12

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This paper cites In: Proceedings of the IEEE 31st Signal Processing and Communications Applications Conference, SIU ’23, pp.

LightFFDNets: Lightweight Convolutional Neural Networks for Rapid Facial Forgery Detection In: Proceedings of the IEEE 31st Signal Processing and Communications Applications Conference, SIU ’23, pp

Reference 13

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Observation 81ca7cae-9667-4603-b1aa-7f9186dbbe0f · outbound

This paper cites Neurocomputing 187, 27–48 (2016).

LightFFDNets: Lightweight Convolutional Neural Networks for Rapid Facial Forgery Detection Neurocomputing 187, 27–48 (2016)

Reference 14

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Observation 71154348-e537-450a-8502-2e1a77e5ba36 · outbound

This paper cites International Journal of Information Technology15(1), 5–15 (2023).

LightFFDNets: Lightweight Convolutional Neural Networks for Rapid Facial Forgery Detection International Journal of Information Technology15(1), 5–15 (2023)

Reference 15

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Observation 3a7fe209-400d-448d-8df0-f62fd7a4d647 · outbound

This paper cites In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp.

LightFFDNets: Lightweight Convolutional Neural Networks for Rapid Facial Forgery Detection In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp

Reference 16

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Observation eb5db2a4-0d07-4eeb-b316-025b5622b881 · outbound

This paper cites MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications.

LightFFDNets: Lightweight Convolutional Neural Networks for Rapid Facial Forgery Detection MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications

Reference 17

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Observation a36f8f53-ee29-4937-8b19-0ed1f414d0da · outbound

This paper cites ACM Computing Surveys 55(5), 1–37 (2022).

LightFFDNets: Lightweight Convolutional Neural Networks for Rapid Facial Forgery Detection ACM Computing Surveys 55(5), 1–37 (2022)

Reference 18

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Observation 43f7fc38-f38e-4571-8b33-7e7a4c95f281 · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recogni- tion, pp.

LightFFDNets: Lightweight Convolutional Neural Networks for Rapid Facial Forgery Detection In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recogni- tion, pp

Reference 19

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Observation a781abea-35d6-4b01-b6c3-9c4fff97afdf · outbound

This paper cites In: Advances in Neural Information Processing Systems, vol.

LightFFDNets: Lightweight Convolutional Neural Networks for Rapid Facial Forgery Detection In: Advances in Neural Information Processing Systems, vol

Reference 20

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Observation b47af897-ab44-42b0-9ae7-dac2943149b6 · outbound

This paper cites Mas- ter’s thesis, International Computer Institute, Ege University, Izmir, Turkey (2007).

LightFFDNets: Lightweight Convolutional Neural Networks for Rapid Facial Forgery Detection Mas- ter’s thesis, International Computer Institute, Ege University, Izmir, Turkey (2007)

Reference 21

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Observation c9db3b75-fcd3-4935-bb34-c4fe77f23b61 · outbound

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LightFFDNets: Lightweight Convolutional Neural Networks for Rapid Facial Forgery Detection Unresolved cited work

Reference 22

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Observation 4a568648-d7b7-4592-95c4-83fbb8364e03 · outbound

This paper cites The Workshop on Light Redirection and Scatter: Measurement, Modeling, Simulation (2014).

LightFFDNets: Lightweight Convolutional Neural Networks for Rapid Facial Forgery Detection The Workshop on Light Redirection and Scatter: Measurement, Modeling, Simulation (2014)

Reference 23

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LightFFDNets: Lightweight Convolutional Neural Networks for Rapid Facial Forgery Detection Unresolved cited work

Reference 24

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This paper cites Journal of Science and Engineering 20(58), 87–102 (2018).

LightFFDNets: Lightweight Convolutional Neural Networks for Rapid Facial Forgery Detection Journal of Science and Engineering 20(58), 87–102 (2018)

Reference 25

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Observation 6c646bab-3f93-4b0d-ada0-12b3f40c3e3d · outbound

This paper cites Journal of Science and Engineering 21(63), 859–867 (2019).

LightFFDNets: Lightweight Convolutional Neural Networks for Rapid Facial Forgery Detection Journal of Science and Engineering 21(63), 859–867 (2019)

Reference 26

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LightFFDNets: Lightweight Convolutional Neural Networks for Rapid Facial Forgery Detection Unresolved cited work

Reference 27

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This paper cites DOI 10.2312/mam.20201140.

LightFFDNets: Lightweight Convolutional Neural Networks for Rapid Facial Forgery Detection DOI 10.2312/mam.20201140

Reference 28

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This paper cites The Visual Computer 37(2), 307–323 (2021).

LightFFDNets: Lightweight Convolutional Neural Networks for Rapid Facial Forgery Detection The Visual Computer 37(2), 307–323 (2021)

Reference 29

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This paper cites SIGGRAPH Computer Graphics 42(3), 1–18 (2008).

LightFFDNets: Lightweight Convolutional Neural Networks for Rapid Facial Forgery Detection SIGGRAPH Computer Graphics 42(3), 1–18 (2008)

Reference 30

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This paper cites SIGGRAPH Computer Graphics 43(2), 1–7 (2009).

LightFFDNets: Lightweight Convolutional Neural Networks for Rapid Facial Forgery Detection SIGGRAPH Computer Graphics 43(2), 1–7 (2009)

Reference 31

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This paper cites In: Proceedings of the 24th Eurographics Symposium on Rendering, Posters, EGSR ’13.

LightFFDNets: Lightweight Convolutional Neural Networks for Rapid Facial Forgery Detection In: Proceedings of the 24th Eurographics Symposium on Rendering, Posters, EGSR ’13

Reference 32

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This paper cites SIGGRAPH Computer Graphics 44(1), 1–15 (2010).

LightFFDNets: Lightweight Convolutional Neural Networks for Rapid Facial Forgery Detection SIGGRAPH Computer Graphics 44(1), 1–15 (2010)

Reference 34

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This paper cites In: Proceedings of the ACM SIGGRAPH 2016, Posters, SIGGRAPH ’16, pp.

LightFFDNets: Lightweight Convolutional Neural Networks for Rapid Facial Forgery Detection In: Proceedings of the ACM SIGGRAPH 2016, Posters, SIGGRAPH ’16, pp

Reference 35

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This paper cites IEEE Transactions on Neural Networks 8(1), 98–113 (1997).

LightFFDNets: Lightweight Convolutional Neural Networks for Rapid Facial Forgery Detection IEEE Transactions on Neural Networks 8(1), 98–113 (1997)

Reference 36

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Observation 132a976b-d51f-414d-a7eb-8c18cf4559ea · outbound

This paper cites In: 2018 31st SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI), pp.

LightFFDNets: Lightweight Convolutional Neural Networks for Rapid Facial Forgery Detection In: 2018 31st SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI), pp

Reference 37

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Observation 41d1e8ef-267e-49a1-ac28-f52093969522 · outbound

This paper cites In: Workshop on PaA at European Conference on Computer Vision (ECCV).

LightFFDNets: Lightweight Convolutional Neural Networks for Rapid Facial Forgery Detection In: Workshop on PaA at European Conference on Computer Vision (ECCV)

Reference 38

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This paper cites Journal of Science and Engineering 24(72), 737–746 (2022).

LightFFDNets: Lightweight Convolutional Neural Networks for Rapid Facial Forgery Detection Journal of Science and Engineering 24(72), 737–746 (2022)

Reference 39

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This paper cites Spritz-PS: Validation of Synthetic Face Images Using a Large Dataset of Printed Documents.

LightFFDNets: Lightweight Convolutional Neural Networks for Rapid Facial Forgery Detection Spritz-PS: Validation of Synthetic Face Images Using a Large Dataset of Printed Documents

Reference 40

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This paper cites In: V .˙I¸ sler, H.

LightFFDNets: Lightweight Convolutional Neural Networks for Rapid Facial Forgery Detection In: V .˙I¸ sler, H

Reference 41

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LightFFDNets: Lightweight Convolutional Neural Networks for Rapid Facial Forgery Detection Unresolved cited work

Reference 42

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This paper cites Com- puter Graphics Forum 29(6), 1795–1806 (2010).

LightFFDNets: Lightweight Convolutional Neural Networks for Rapid Facial Forgery Detection Com- puter Graphics Forum 29(6), 1795–1806 (2010)

Reference 43

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This paper cites In: Proceedings of the 20th International Conference on Computer Graphics and Vision, pp.

LightFFDNets: Lightweight Convolutional Neural Networks for Rapid Facial Forgery Detection In: Proceedings of the 20th International Conference on Computer Graphics and Vision, pp

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:10:56.827025Z

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This paper cites Computers & Graphics 32(2), 149–158 (2008).

LightFFDNets: Lightweight Convolutional Neural Networks for Rapid Facial Forgery Detection Computers & Graphics 32(2), 149–158 (2008)

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:10:56.813577Z

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Observation 01971b87-6432-4e73-a843-cf8e186e2d0c · outbound

This paper cites YOLOv3: An Incremental Improvement.

LightFFDNets: Lightweight Convolutional Neural Networks for Rapid Facial Forgery Detection YOLOv3: An Incremental Improvement

Reference 46

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This paper cites Scientific Reports 14 (2024).

LightFFDNets: Lightweight Convolutional Neural Networks for Rapid Facial Forgery Detection Scientific Reports 14 (2024)

Reference 47

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This paper cites In: 2019 IEEE/CVF International Conference on Computer Vision (ICCV), pp.

LightFFDNets: Lightweight Convolutional Neural Networks for Rapid Facial Forgery Detection In: 2019 IEEE/CVF International Conference on Computer Vision (ICCV), pp

Reference 48

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This paper cites Very Deep Convolutional Networks for Large-Scale Image Recognition.

LightFFDNets: Lightweight Convolutional Neural Networks for Rapid Facial Forgery Detection Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 49

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This paper cites Dicle Üniversitesi Mühendislik Fakültesi Mühendislik Dergisi11(1), 123– 133 (2020).

LightFFDNets: Lightweight Convolutional Neural Networks for Rapid Facial Forgery Detection Dicle Üniversitesi Mühendislik Fakültesi Mühendislik Dergisi11(1), 123– 133 (2020)

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:10:56.800725Z

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Observation db9623ec-4f2b-4cd9-9a82-bcaec6b5122a · outbound

This paper cites Frontiers in Robotics and AI 2, 36 (2016).

LightFFDNets: Lightweight Convolutional Neural Networks for Rapid Facial Forgery Detection Frontiers in Robotics and AI 2, 36 (2016)

Reference 51

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Observation f079b395-5639-4aa1-98c3-672e75c69cbe · outbound

This paper cites In: Proceedings of the 26th LightFFDNets: Lightweight Convolutional Neural Networks for Rapid Facial Forgery Detection 13 Spring Conference on Computer Graphics, SCCG ’10, pp.

LightFFDNets: Lightweight Convolutional Neural Networks for Rapid Facial Forgery Detection In: Proceedings of the 26th LightFFDNets: Lightweight Convolutional Neural Networks for Rapid Facial Forgery Detection 13 Spring Conference on Computer Graphics, SCCG ’10, pp

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:10:56.774864Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 4f98bcb6-f117-4585-b22b-a9d682823534 · outbound

This paper cites URL https://www.

LightFFDNets: Lightweight Convolutional Neural Networks for Rapid Facial Forgery Detection URL https://www

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:10:56.748304Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 88568044-7c65-4f32-8d8b-1a62374fae36 · outbound

This paper cites In: Proceed- ings of The IEEE Conference on Computer Vision and Pattern Recognition, pp.

LightFFDNets: Lightweight Convolutional Neural Networks for Rapid Facial Forgery Detection In: Proceed- ings of The IEEE Conference on Computer Vision and Pattern Recognition, pp

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:10:56.762096Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation fd7cebba-f4fc-4edb-b336-eaee00650ca8 · outbound

This paper cites In: Proceedings of the IEEE International Conference on Com- puter Vision Workshops, ICCVW ’17, pp.

LightFFDNets: Lightweight Convolutional Neural Networks for Rapid Facial Forgery Detection In: Proceedings of the IEEE International Conference on Com- puter Vision Workshops, ICCVW ’17, pp

Reference 55

Resolution: verified exact; doi, observed 2026-08-12T18:10:55.813522Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 0c7a2b70-af84-4d15-8e11-d2275de66aae · outbound

This paper cites The Visual Computer36(4), 855– 872 (2020).

LightFFDNets: Lightweight Convolutional Neural Networks for Rapid Facial Forgery Detection The Visual Computer36(4), 855– 872 (2020)

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-12T18:10:55.669349Z

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Observation b97e11b4-bedb-4539-9e40-ac5e02128ae4 · outbound

This paper cites GAN-generated Faces Detection: A Survey and New Perspectives.

LightFFDNets: Lightweight Convolutional Neural Networks for Rapid Facial Forgery Detection GAN-generated Faces Detection: A Survey and New Perspectives

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-12T18:10:55.686337Z

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Observation 5083be8b-fedc-4fdd-bd22-25d6e313191e · outbound

This paper cites 1109/ICCVW.2017.26.

LightFFDNets: Lightweight Convolutional Neural Networks for Rapid Facial Forgery Detection 1109/ICCVW.2017.26

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:10:56.735385Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 0f05b455-e6a6-4eb2-b472-e8b21fbd81a0 · outbound

This paper cites In: Proceedings of the IEEE 22nd Signal Processing and Communications Applications Conference, SIU ’14, pp.

LightFFDNets: Lightweight Convolutional Neural Networks for Rapid Facial Forgery Detection In: Proceedings of the IEEE 22nd Signal Processing and Communications Applications Conference, SIU ’14, pp

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:10:56.721256Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation d3866bc1-3643-4ec1-a94c-6a46e2ed2d09 · outbound

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LightFFDNets: Lightweight Convolutional Neural Networks for Rapid Facial Forgery Detection Unresolved cited work

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-12T18:10:55.699727Z

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Observation 33cce601-4958-4d1b-b59e-ce035bc112c6 · outbound

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Reference 61

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Observation e39676dd-f269-4ee0-b562-bfaacb3c08b7 · outbound

This paper cites an unresolved cited work.

LightFFDNets: Lightweight Convolutional Neural Networks for Rapid Facial Forgery Detection Unresolved cited work

Reference 62

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Observation 803ab62a-7692-410f-af97-138d10ce114d · outbound

This paper cites GenPluSSS: A Genetic Algorithm Based Plugin for Measured Subsurface Scattering Representation.

LightFFDNets: Lightweight Convolutional Neural Networks for Rapid Facial Forgery Detection GenPluSSS: A Genetic Algorithm Based Plugin for Measured Subsurface Scattering Representation

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-12T18:10:55.712715Z

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Observation ff93d52b-131b-4479-a877-0a8a2f106ca1 · outbound

This paper cites https: //www.kaggle.com/datasets/xhlulu/ 140k-real-and-fake-faces (2023).

LightFFDNets: Lightweight Convolutional Neural Networks for Rapid Facial Forgery Detection https: //www.kaggle.com/datasets/xhlulu/ 140k-real-and-fake-faces (2023)

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:10:56.678333Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation a13fd5f8-c398-4dca-9521-b39afb35565e · outbound

This paper cites The Visual Computer 40, 8205–8225 (2024).

LightFFDNets: Lightweight Convolutional Neural Networks for Rapid Facial Forgery Detection The Visual Computer 40, 8205–8225 (2024)

Reference 65

Resolution: verified exact; doi, observed 2026-08-12T18:10:55.777794Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 0db1f704-ddb3-4d21-99b3-6f19ec5a580e · outbound

This paper cites El-Cezeri 9(4), 1282–1289 (2022).

LightFFDNets: Lightweight Convolutional Neural Networks for Rapid Facial Forgery Detection El-Cezeri 9(4), 1282–1289 (2022)

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:10:56.651686Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 27c5064d-dbbf-4d54-b231-0a3a401a0a98 · outbound

This paper cites Object Detectors Emerge in Deep Scene CNNs.

LightFFDNets: Lightweight Convolutional Neural Networks for Rapid Facial Forgery Detection Object Detectors Emerge in Deep Scene CNNs

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-12T18:10:55.717516Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c9ddc52a-5b46-4a8c-8b43-a7ddc0a7571a · outbound

This paper cites In: Proceedings of the IEEE (2023).

LightFFDNets: Lightweight Convolutional Neural Networks for Rapid Facial Forgery Detection In: Proceedings of the IEEE (2023)

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:10:56.665239Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation bc9e976c-e2de-4b0b-b58e-12bb539f92ca · outbound

This paper cites DOI http://doi.acm.org/ 10.1145/1925059.1925073.

LightFFDNets: Lightweight Convolutional Neural Networks for Rapid Facial Forgery Detection DOI http://doi.acm.org/ 10.1145/1925059.1925073

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-12T18:10:55.656065Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation bbf47a33-2add-4b2e-b41c-30f2367ae128 · inbound

Mul2MAR: A Multi-Marker Mobile Augmented Reality Application for Improved Visual Perception cites this paper.

Mul2MAR: A Multi-Marker Mobile Augmented Reality Application for Improved Visual Perception LightFFDNets: Lightweight Convolutional Neural Networks for Rapid Facial Forgery Detection

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.