Paper Citation Record · LEDGER

Enhancing Deepfake Detection using SE Block Attention with CNN

As of 10 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 0 inbound Pith citation observations for arXiv:2506.10683.

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

pith.paper-citation-record.v1
2506.10683 v1

Coverage vector

measured 21 of 21 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:22:56.922045Z

measured 21 of 21 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

21 of 21 outbound references displayed

verified exact1
verified fuzzy12
unresolved8
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5f83f217-8c53-41d3-a7f5-1f9b102e0a3b · outbound

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

Enhancing Deepfake Detection using SE Block Attention with CNN The creation and detection of deepfakes: A survey,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:22:57.249198Z

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.

Observation d43e07ff-cdb3-4790-9781-e7ece3a9deaa · outbound

This paper cites A survey on deepfake video detection,.

Enhancing Deepfake Detection using SE Block Attention with CNN A survey on deepfake video detection,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:22:57.233565Z

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.

Observation 288fbc0a-5021-460a-b7b4-22355fcb5ef0 · outbound

This paper cites A comprehensive overview of deepfake: Generation, detection, datasets, and opportuni- ties,.

Enhancing Deepfake Detection using SE Block Attention with CNN A comprehensive overview of deepfake: Generation, detection, datasets, and opportuni- ties,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T04:22:56.836417Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7fb9fb66-d61a-4fca-bcec-7f016fe07fa0 · outbound

This paper cites Digital and physical face attacks: Reviewing and one step further,.

Enhancing Deepfake Detection using SE Block Attention with CNN Digital and physical face attacks: Reviewing and one step further,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:22:57.209258Z

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.

Observation 6fe5d5fe-f19b-449a-872f-3cd575487a51 · outbound

This paper cites Implicit identity driven deepfake face swapping detection,.

Enhancing Deepfake Detection using SE Block Attention with CNN Implicit identity driven deepfake face swapping detection,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T04:22:56.845775Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 646a8c0c-0e25-4f8a-a2e6-68d996a846e6 · outbound

This paper cites Deepfake attacks: Generation, detection, datasets, challenges, and research direc- tions,.

Enhancing Deepfake Detection using SE Block Attention with CNN Deepfake attacks: Generation, detection, datasets, challenges, and research direc- tions,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:22:57.184326Z

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.

Observation 776b4952-d7cf-40e1-bff7-7b950cb10a14 · outbound

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

Enhancing Deepfake Detection using SE Block Attention with CNN Faceforensics++: Learning to detect manipulated facial images,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T04:22:56.856671Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0cedbfad-c021-487e-95f5-d32452521183 · outbound

This paper cites On the de- tection of digital face manipulation,.

Enhancing Deepfake Detection using SE Block Attention with CNN On the de- tection of digital face manipulation,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:22:57.159090Z

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.

Observation a92f8fe9-95dc-451c-ab36-aad24080e69a · outbound

This paper cites An attention module for convolutional neural networks,.

Enhancing Deepfake Detection using SE Block Attention with CNN An attention module for convolutional neural networks,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:22:57.144662Z

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.

Observation 1d102d3c-3ba1-4f52-872b-fd739e3f4398 · outbound

This paper cites Deepfake Video Detection Using Convolutional Vision Transformer.

Enhancing Deepfake Detection using SE Block Attention with CNN Deepfake Video Detection Using Convolutional Vision Transformer

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T04:22:56.870431Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 27385cd0-6068-4530-871c-467d9724efd1 · outbound

This paper cites Squeeze-and-excitation networks,.

Enhancing Deepfake Detection using SE Block Attention with CNN Squeeze-and-excitation networks,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T04:22:56.876094Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5e00de6d-8f29-4130-b6c2-d79ccc598791 · outbound

This paper cites Deepfake detection: A systematic literature review,.

Enhancing Deepfake Detection using SE Block Attention with CNN Deepfake detection: A systematic literature review,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:22:57.120002Z

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.

Observation f27c76ca-59eb-4e04-8b0d-c5d44b29e749 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

Enhancing Deepfake Detection using SE Block Attention with CNN An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T04:22:56.885444Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fe74ae1b-9f63-4340-b687-31b5c9ce77cc · outbound

This paper cites Combining efficientnet and vision transformers for video deepfake detection,.

Enhancing Deepfake Detection using SE Block Attention with CNN Combining efficientnet and vision transformers for video deepfake detection,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:22:57.104697Z

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.

Observation bd53a2eb-5864-4a58-9514-316eafe9d8da · outbound

This paper cites Cvt: Introducing convolutions to vision transformers,.

Enhancing Deepfake Detection using SE Block Attention with CNN Cvt: Introducing convolutions to vision transformers,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T04:22:56.894636Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bab9aae9-ccc6-40d4-bd9f-1ea83285633e · outbound

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

Enhancing Deepfake Detection using SE Block Attention with CNN Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T04:22:56.899766Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4010b908-8140-44fc-a140-7895f71912f5 · outbound

This paper cites 3d cnn architectures and attention mechanisms for deepfake detection,.

Enhancing Deepfake Detection using SE Block Attention with CNN 3d cnn architectures and attention mechanisms for deepfake detection,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:22:57.077544Z

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.

Observation c0f13807-31d9-4aec-adc2-322153a2344a · outbound

This paper cites A style-based generator architecture for generative adversarial networks,.

Enhancing Deepfake Detection using SE Block Attention with CNN A style-based generator architecture for generative adversarial networks,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:22:57.061451Z

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.

Observation cfa539c9-c6b7-4c4a-b7f1-81add9876f3d · outbound

This paper cites Fake- buster: A lightweight solution for deepfake detection,.

Enhancing Deepfake Detection using SE Block Attention with CNN Fake- buster: A lightweight solution for deepfake detection,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:22:57.045776Z

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.

Observation 07b1722e-761b-4a23-ba31-b453a93c5c37 · outbound

This paper cites Deepfake Detection Analyzing Hybrid Dataset Utilizing CNN and SVM.

Enhancing Deepfake Detection using SE Block Attention with CNN Deepfake Detection Analyzing Hybrid Dataset Utilizing CNN and SVM

Reference 20

Resolution: verified exact; local_arxiv, observed 2026-08-07T04:22:56.964746Z

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.

Observation 8eec4be7-6fd2-4480-94e3-ac2f7590ac6d · outbound

This paper cites kaggle-dfdc: Deepfake Detection Challenge (DFDC) solu- tion,.

Enhancing Deepfake Detection using SE Block Attention with CNN kaggle-dfdc: Deepfake Detection Challenge (DFDC) solu- tion,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:22:57.028080Z

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.

Pith citing papers

No inbound Pith citation observations are available.