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Paper Citation Record · LEDGER

Privacy-Aware Detection of Fake Identity Documents: Methodology, Benchmark, and Improved Algorithms (FakeIDet2)

As of 7 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 0 inbound Pith citation observations for arXiv:2508.11716.

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

pith.paper-citation-record.v1
2508.11716 v2

Coverage vector

measured 45 of 45 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T20:18:14.235583Z

measured 45 of 45 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+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 exact2
  • verified fuzzy31
  • unresolved11
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 09a17f0c-d12a-42fa-9f37-5dfac2aecfde · outbound

This paper cites MIDV- 500: A Dataset for Identity Document Analysis and Recognition on Mobile Devices in Video Stream.

Privacy-Aware Detection of Fake Identity Documents: Methodology, Benchmark, and Improved Algorithms (FakeIDet2) MIDV- 500: A Dataset for Identity Document Analysis and Recognition on Mobile Devices in Video Stream

Reference 1

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verified fuzzy
raw_fallback, observed 2026-08-05T20:18:21.057886Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T20:18:11.232695Z digest=sha256:e20a15f13880c7b0fd2cbd1dc19721aadc55e18c933066964ab8cd2a92a0ec66

Observation 2df4b80d-f337-4e8d-9d6d-7952d1d999b2 · outbound

This paper cites an unresolved cited work.

Privacy-Aware Detection of Fake Identity Documents: Methodology, Benchmark, and Improved Algorithms (FakeIDet2) Unresolved cited work

Reference 2

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unresolved
raw_fallback, observed 2026-08-05T20:18:20.944898Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T20:18:11.323967Z digest=sha256:38545edde9a9e5d6774a7fb38cd36e7362d8cd9246d86a876e918cfac671f7da

Observation 0a1fc672-42b9-4160-abc0-71a7cfccc077 · outbound

This paper cites Layer Normalization.

Privacy-Aware Detection of Fake Identity Documents: Methodology, Benchmark, and Improved Algorithms (FakeIDet2) Layer Normalization

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-05T20:18:11.438818Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:18:11.438818Z digest=sha256:2bc8314e27ca0881dad9e16abc4e48729b6d530a3fbb3f6f5b1f1247a0e0875a

Observation f8a01647-db47-4d0b-9b83-24fd135aa867 · outbound

This paper cites Neural Machine Translation by Jointly Learning to Align and Translate.

Privacy-Aware Detection of Fake Identity Documents: Methodology, Benchmark, and Improved Algorithms (FakeIDet2) Neural Machine Translation by Jointly Learning to Align and Translate

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-05T20:18:11.494262Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:18:11.494262Z digest=sha256:e54f73d39e2187368b0132f2f1de584d9c11deccb2b57a962fe55851a12ef2fa

Observation 7454ba34-c89a-44c2-b213-df60f9b67c72 · outbound

This paper cites Synthetic ID Card Image Generation for Improving Presentation Attack Detection.

Privacy-Aware Detection of Fake Identity Documents: Methodology, Benchmark, and Improved Algorithms (FakeIDet2) Synthetic ID Card Image Generation for Improving Presentation Attack Detection

Reference 5

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verified fuzzy
raw_fallback, observed 2026-08-05T20:18:20.769440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T20:18:11.569229Z digest=sha256:3ea0ea056ff0c571c99f131613cc5eebe085b82008efca6063a0fee35ddc38b5

Observation 6cd455ee-0a72-4968-a4d6-2211f3c07c65 · outbound

This paper cites MIDV-2020: A Com- prehensive Benchmark Dataset for Identity Document Analysis.

Privacy-Aware Detection of Fake Identity Documents: Methodology, Benchmark, and Improved Algorithms (FakeIDet2) MIDV-2020: A Com- prehensive Benchmark Dataset for Identity Document Analysis

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:18:20.620468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T20:18:11.636896Z digest=sha256:65fc874b47f144aa2dc4e0f3bfafc9791d751a72f371e017733e1b04a4d6cec9

Observation dbbabee0-b184-496b-abe0-111a7e60a0f6 · outbound

This paper cites MIDV-2019: Challenges of the Modern Mobile-Based Document OCR, in: Proceedings of the In- ternational Conference on Machine Vision, pp.

Privacy-Aware Detection of Fake Identity Documents: Methodology, Benchmark, and Improved Algorithms (FakeIDet2) MIDV-2019: Challenges of the Modern Mobile-Based Document OCR, in: Proceedings of the In- ternational Conference on Machine Vision, pp

Reference 7

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verified fuzzy
raw_fallback, observed 2026-08-05T20:18:20.525053Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T20:18:11.717339Z digest=sha256:5cbd480a8449004d538fe44795273b802bf0c9907eeb1bd0a0469a54471e4368

Observation a9d4e908-7d1d-4ab8-b97b-8940a0081cfa · outbound

This paper cites IRL-Net: Inpainted region localization network via spatial attention.

Privacy-Aware Detection of Fake Identity Documents: Methodology, Benchmark, and Improved Algorithms (FakeIDet2) IRL-Net: Inpainted region localization network via spatial attention

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:18:20.375526Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T20:18:11.767429Z digest=sha256:f39705fc61a81d7624047e9964b45fa7bf21c37432cac7f483bd62891df6be1c

Observation 4f064e9c-d951-47e7-b00c-07b11f532d1d · outbound

This paper cites Active membership inference test (aMINT): Enhancing model auditability with multi-task learning, in: IEEE/CVF International Conference on Computer Vision.

Privacy-Aware Detection of Fake Identity Documents: Methodology, Benchmark, and Improved Algorithms (FakeIDet2) Active membership inference test (aMINT): Enhancing model auditability with multi-task learning, in: IEEE/CVF International Conference on Computer Vision

Reference 9

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raw_fallback, observed 2026-08-05T20:18:20.129904Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T20:18:11.831365Z digest=sha256:d3762689feaf63cd7299f4f7b537e1d5a253ad71e2e84df48b7a474110979212

Observation e7d74db1-e9bb-4e93-9f25-cd83d8d689ba · outbound

This paper cites AttZoom: Attention Zoom for Better Visual Features.

Privacy-Aware Detection of Fake Identity Documents: Methodology, Benchmark, and Improved Algorithms (FakeIDet2) AttZoom: Attention Zoom for Better Visual Features

Reference 10

Resolution
verified exact
local_arxiv, observed 2026-08-05T20:18:14.736079Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T20:18:11.897321Z digest=sha256:a6e6aec773399bfc468479c76a0ab904cb007af7aac9f99aa22802be8229e387

Observation 97acd568-094f-4b1c-9fad-a99dbef50a61 · outbound

This paper cites ArcFace: Additive Angular Margin Loss for Deep Face Recognition, in: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp.

Privacy-Aware Detection of Fake Identity Documents: Methodology, Benchmark, and Improved Algorithms (FakeIDet2) ArcFace: Additive Angular Margin Loss for Deep Face Recognition, in: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp

Reference 11

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verified fuzzy
raw_fallback, observed 2026-08-05T20:18:19.952909Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T20:18:11.972831Z digest=sha256:e1c71e7229a78a00589bafa1f0e435471685f748e2e2d820e73ebfb86bdbe84c

Observation 225b89b2-dd26-44fd-8fa0-d661151b1a0d · outbound

This paper cites an unresolved cited work.

Privacy-Aware Detection of Fake Identity Documents: Methodology, Benchmark, and Improved Algorithms (FakeIDet2) Unresolved cited work

Reference 12

Resolution
unresolved
raw_fallback, observed 2026-08-05T20:18:19.724184Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T20:18:12.032244Z digest=sha256:e2769faea4a62ed622aeaa01cfa77b8ab8f87224bf68f89a2dd3c959437a109b

Observation e95fa101-36d9-4c18-84eb-7a08487a4860 · outbound

This paper cites Privacy Backdoors: Stealing Data with Cor- rupted Pretrained Models, in: Proceedings of the 41st International Con- ference on Machine Learning, pp.

Privacy-Aware Detection of Fake Identity Documents: Methodology, Benchmark, and Improved Algorithms (FakeIDet2) Privacy Backdoors: Stealing Data with Cor- rupted Pretrained Models, in: Proceedings of the 41st International Con- ference on Machine Learning, pp

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:18:19.564762Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T20:18:12.098564Z digest=sha256:d4ff0921a5c944451222aec72a7b3b7fd8bc7f51f31e85ad9bafa2e7fe1cb160

Observation 3d3aa8f7-a776-4456-86bc-32ea4c08a8d2 · outbound

This paper cites Multiple classifiers in biometrics.

Privacy-Aware Detection of Fake Identity Documents: Methodology, Benchmark, and Improved Algorithms (FakeIDet2) Multiple classifiers in biometrics

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:18:19.348944Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T20:18:12.166744Z digest=sha256:f768905ab39821cd22a4cdc44213d3e67ce6229ccba665a2aeb601217104d220

Observation b80d1598-569f-4df1-9bc8-5154a9ff75b6 · outbound

This paper cites Forged Presentation Attack Detection for ID Cards on Remote Verification Systems.

Privacy-Aware Detection of Fake Identity Documents: Methodology, Benchmark, and Improved Algorithms (FakeIDet2) Forged Presentation Attack Detection for ID Cards on Remote Verification Systems

Reference 15

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raw_fallback, observed 2026-08-05T20:18:19.143302Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T20:18:12.216050Z digest=sha256:8381b6b8c2ce16c613c863a368f344356f3b37203dd1f65bd9193a02440dc94f

Observation 410f4dd9-4fea-4a16-876e-0b49a0b02cbf · outbound

This paper cites Intro- duction to Presentation Attack Detection in Face Biometrics and Recent Advances, in: S.

Privacy-Aware Detection of Fake Identity Documents: Methodology, Benchmark, and Improved Algorithms (FakeIDet2) Intro- duction to Presentation Attack Detection in Face Biometrics and Recent Advances, in: S

Reference 16

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raw_fallback, observed 2026-08-05T20:18:18.976713Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T20:18:12.297519Z digest=sha256:e80c50aca4367762e6dbaaa046b13259232553e0d3bfc3840ef16c363dd38461

Observation 43ff4acd-25e2-40f0-80fa-ffb5e6744c5d · outbound

This paper cites AdaFace: Quality adaptive margin for face recognition, in: Proceedings of the IEEE/CVF Conference on Com- puter Vision and Pattern Recognition, pp.

Privacy-Aware Detection of Fake Identity Documents: Methodology, Benchmark, and Improved Algorithms (FakeIDet2) AdaFace: Quality adaptive margin for face recognition, in: Proceedings of the IEEE/CVF Conference on Com- puter Vision and Pattern Recognition, pp

Reference 17

Resolution
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raw_fallback, observed 2026-08-05T20:18:18.845944Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T20:18:12.358831Z digest=sha256:3bf172f0d9ed7e1eba20e10d9e8168f7c7c316d67cb48839a5251db7d4934b9e

Observation 0dfca681-c032-4b97-b5f1-985304319d9b · outbound

This paper cites Robust Domain Mis- information Detection via Multi-Modal Feature Alignment.

Privacy-Aware Detection of Fake Identity Documents: Methodology, Benchmark, and Improved Algorithms (FakeIDet2) Robust Domain Mis- information Detection via Multi-Modal Feature Alignment

Reference 18

Resolution
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raw_fallback, observed 2026-08-05T20:18:18.739566Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T20:18:12.410822Z digest=sha256:a637323eaa75b6d5ce4ca0fdce49abb22e2b25de80a7fea79a417610c137c798

Observation 812a4d64-471b-4cd0-8f91-3067f3fb3704 · outbound

This paper cites Benchmarking Graph Neural Networks for Document Layout Analysis in Public Affairs.

Privacy-Aware Detection of Fake Identity Documents: Methodology, Benchmark, and Improved Algorithms (FakeIDet2) Benchmarking Graph Neural Networks for Document Layout Analysis in Public Affairs

Reference 19

Resolution
verified exact
local_arxiv, observed 2026-08-05T20:18:14.587259Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T20:18:12.500236Z digest=sha256:714042c9b27f0d6e0d707db0324237b770ff5faba5247817ead74732869fc84d

Observation 8842a247-f54c-485f-9b6b-d50a4c7c40ae · outbound

This paper cites Open-Set: ID Card Presentation Attack Detection Using Neural Style Transfer.

Privacy-Aware Detection of Fake Identity Documents: Methodology, Benchmark, and Improved Algorithms (FakeIDet2) Open-Set: ID Card Presentation Attack Detection Using Neural Style Transfer

Reference 20

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verified fuzzy
raw_fallback, observed 2026-08-05T20:18:18.546014Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T20:18:12.578854Z digest=sha256:5d2e205f1b0bad7dcecd30ba642fbf1b40e6bc8c73180d0ded1ef1490e491583

Observation 1e605f91-5177-4cc7-819c-fe5268f42638 · outbound

This paper cites an unresolved cited work.

Privacy-Aware Detection of Fake Identity Documents: Methodology, Benchmark, and Improved Algorithms (FakeIDet2) Unresolved cited work

Reference 21

Resolution
unresolved
raw_fallback, observed 2026-08-05T20:18:18.401807Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T20:18:12.618781Z digest=sha256:78158a5130ee4b8977208210508cc121efb2cd73a3edf26d15313ef8c322e321

Observation 70f6d288-e02f-4bd8-b8ca-d6a45722850d · outbound

This paper cites FRCSyn-onGoing: Benchmarking and Comprehensive Evaluation of Real and Synthetic Data to Improve Face Recognition Systems.

Privacy-Aware Detection of Fake Identity Documents: Methodology, Benchmark, and Improved Algorithms (FakeIDet2) FRCSyn-onGoing: Benchmarking and Comprehensive Evaluation of Real and Synthetic Data to Improve Face Recognition Systems

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:18:18.192510Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T20:18:12.674159Z digest=sha256:8f554e7b79f54c4504bf0b10e2e9dc3b8c7c80361db8dca6e0d75faae17c99da

Observation 4bb6ff6d-b034-4626-b8d7-5f658b60b4f2 · outbound

This paper cites SetMargin Loss applied to deep keystroke biometrics with circle packing interpretation.

Privacy-Aware Detection of Fake Identity Documents: Methodology, Benchmark, and Improved Algorithms (FakeIDet2) SetMargin Loss applied to deep keystroke biometrics with circle packing interpretation

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:18:17.949318Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T20:18:12.738838Z digest=sha256:9e7f4e3bb892bb8f9cb01898ba676425ff158049a8f3081ac41186f5634e2f64

Observation 05cb8f5b-c4df-435a-ac6c-4b169e69e937 · outbound

This paper cites an unresolved cited work.

Privacy-Aware Detection of Fake Identity Documents: Methodology, Benchmark, and Improved Algorithms (FakeIDet2) Unresolved cited work

Reference 24

Resolution
unresolved
raw_fallback, observed 2026-08-05T20:18:17.826777Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T20:18:12.805465Z digest=sha256:3c256ecf90f7bef86b8d9554a2a8be5feebdea2b282ded02cd730ffb10b56348

Observation a3b8bf74-6d8e-4e9d-a426-70d6b69c0292 · outbound

This paper cites FakeIDet: Exploring Patches for Privacy-Preserving Fake ID Detection.

Privacy-Aware Detection of Fake Identity Documents: Methodology, Benchmark, and Improved Algorithms (FakeIDet2) FakeIDet: Exploring Patches for Privacy-Preserving Fake ID Detection

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-05T20:18:12.928056Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:18:12.928056Z digest=sha256:ee32fbf531206546b3f165bee18c9a72d860a0d913a8e728f72a24fea45269f0

Observation 216cb6df-edbd-429c-8a62-ea2747d8ef4f · outbound

This paper cites GANprintR: Improved fakes and evaluation of the state of the art in face manipulation detection.

Privacy-Aware Detection of Fake Identity Documents: Methodology, Benchmark, and Improved Algorithms (FakeIDet2) GANprintR: Improved fakes and evaluation of the state of the art in face manipulation detection

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:18:17.503354Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T20:18:13.015232Z digest=sha256:59d6e2b07fd0e5808601d6b7c03f20a6b586bc97115c6fc1a246e01a60089b87

Observation 6a3fe649-5e17-4971-b31f-597fd6134fd6 · outbound

This paper cites DINOv2: Learning Robust Visual Features Without Supervision.

Privacy-Aware Detection of Fake Identity Documents: Methodology, Benchmark, and Improved Algorithms (FakeIDet2) DINOv2: Learning Robust Visual Features Without Supervision

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:18:17.397007Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T20:18:13.071973Z digest=sha256:379b39a74582e5e61738e948cbdfcd66c44fa22a831c2ca7631e14b46c9ecdb9

Observation 40170c73-30f5-4fe2-b9b3-22593c19665a · outbound

This paper cites KID34K: A Dataset for Online Identity Card Fraud Detection, in: Proc.

Privacy-Aware Detection of Fake Identity Documents: Methodology, Benchmark, and Improved Algorithms (FakeIDet2) KID34K: A Dataset for Online Identity Card Fraud Detection, in: Proc

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:18:17.229398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T20:18:13.137092Z digest=sha256:233baf1fc4a7076fb5b0b3365da7c7e2d907e73d9f57267b3d35b58ef428f0cd

Observation 689ea0c7-bdce-4e69-95ef-3baa88532a26 · outbound

This paper cites an unresolved cited work.

Privacy-Aware Detection of Fake Identity Documents: Methodology, Benchmark, and Improved Algorithms (FakeIDet2) Unresolved cited work

Reference 29

Resolution
unresolved
raw_fallback, observed 2026-08-05T20:18:17.042529Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T20:18:13.192451Z digest=sha256:f4bce07f387749c617a84e6d6269b8b6235c1af6a0dfbd7b8f65acd7cfedd1af

Observation 66a0301d-84ac-461c-b531-2584406a4f12 · outbound

This paper cites Document Live- ness Challenge Dataset (DLC-2021).

Privacy-Aware Detection of Fake Identity Documents: Methodology, Benchmark, and Improved Algorithms (FakeIDet2) Document Live- ness Challenge Dataset (DLC-2021)

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:18:16.868872Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T20:18:13.332079Z digest=sha256:128f18c54a3fd006759de81bdbfa05419e487d2a5ebb1645367156148f9725e4

Observation bc93261b-ef51-4857-bd70-0999891508b0 · outbound

This paper cites an unresolved cited work.

Privacy-Aware Detection of Fake Identity Documents: Methodology, Benchmark, and Improved Algorithms (FakeIDet2) Unresolved cited work

Reference 31

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unresolved
raw_fallback, observed 2026-08-05T20:18:16.753354Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T20:18:13.420512Z digest=sha256:25842651a1fe44ce8f1e259169e1901505a35784188028b32b4f7a5f1f81273b

Observation 8f89eb1c-d0f2-4030-a0cd-cd353aff8e86 · outbound

This paper cites an unresolved cited work.

Privacy-Aware Detection of Fake Identity Documents: Methodology, Benchmark, and Improved Algorithms (FakeIDet2) Unresolved cited work

Reference 32

Resolution
unresolved
raw_fallback, observed 2026-08-05T20:18:16.514205Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T20:18:13.515956Z digest=sha256:28d19baec71ccac2110f741559334ec7f6d079e32778b908829ffa5ef83a4325

Observation 6092c10d-1a97-43c7-9d42-bdb9f6c5387a · outbound

This paper cites BID Dataset: a Challenge Dataset for Document Processing Tasks, in: Anais Estendidos da Conference on Graphics, Patterns and Images, pp.

Privacy-Aware Detection of Fake Identity Documents: Methodology, Benchmark, and Improved Algorithms (FakeIDet2) BID Dataset: a Challenge Dataset for Document Processing Tasks, in: Anais Estendidos da Conference on Graphics, Patterns and Images, pp

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:18:16.128083Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T20:18:13.652769Z digest=sha256:c55ffef4f29bc6b58d2b5b7fc537f5aeffa244abb4aacc8777ce53bafa6c9c41

Observation 65a070c2-26c6-4c8b-be3b-393af58bfbb5 · outbound

This paper cites First Competition on Presentation Attack Detection on ID Card, in: Proceedings of the IEEE International Joint Conference on Biometrics, pp.

Privacy-Aware Detection of Fake Identity Documents: Methodology, Benchmark, and Improved Algorithms (FakeIDet2) First Competition on Presentation Attack Detection on ID Card, in: Proceedings of the IEEE International Joint Conference on Biometrics, pp

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:18:15.943675Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T20:18:13.733421Z digest=sha256:6f5084857f7db0089be37e0b821c4e7a28520a012aeef5b3861577f645005cd5

Observation 12bd806c-669f-49fd-a0fb-570812fe24e9 · outbound

This paper cites ACM Computing Surveys 10, 1–49.

Privacy-Aware Detection of Fake Identity Documents: Methodology, Benchmark, and Improved Algorithms (FakeIDet2) ACM Computing Surveys 10, 1–49

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:18:16.647751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T20:18:13.471790Z digest=sha256:eb3b02ce544035d845a8691b3c8402406028f8751ec30e62443a07dc40c37212

Observation 89f47271-937b-405d-9aa8-dd4300057d5b · outbound

This paper cites Handbook of Digital Face Manipulation and Detection.

Privacy-Aware Detection of Fake Identity Documents: Methodology, Benchmark, and Improved Algorithms (FakeIDet2) Handbook of Digital Face Manipulation and Detection

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:18:15.611548Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T20:18:13.911375Z digest=sha256:090840f82492525decab50fa40308fd9665d69fcde3b12811e5b40917efce387

Observation ddd500bc-581c-4de0-afb6-a2897ffb151c · outbound

This paper cites an unresolved cited work.

Privacy-Aware Detection of Fake Identity Documents: Methodology, Benchmark, and Improved Algorithms (FakeIDet2) Unresolved cited work

Reference 37

Resolution
unresolved
raw_fallback, observed 2026-08-05T20:18:16.327035Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T20:18:13.576741Z digest=sha256:3c57ad003556b635a8e508562ca5d8f10c8b871776de016e0b8cbc45d8a643ae

Observation 75775093-20e9-4ffa-9413-a66178e16190 · outbound

This paper cites CosFace: Large margin cosine loss for deep face recognition, in: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp.

Privacy-Aware Detection of Fake Identity Documents: Methodology, Benchmark, and Improved Algorithms (FakeIDet2) CosFace: Large margin cosine loss for deep face recognition, in: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:18:15.224200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T20:18:14.088216Z digest=sha256:c28b17304e8debc3e954e4696e8dc1a7578f96d6af241f16ad6e0f9862b3c7a4

Observation 6f550c31-c1a8-47bf-958a-a694d55a0107 · outbound

This paper cites IDNet: A Novel Identity Document Dataset via Few-Shot and Quality-Driven Synthetic Data Generation, in: Proceedings of the IEEE International Conference on Big Data, pp.

Privacy-Aware Detection of Fake Identity Documents: Methodology, Benchmark, and Improved Algorithms (FakeIDet2) IDNet: A Novel Identity Document Dataset via Few-Shot and Quality-Driven Synthetic Data Generation, in: Proceedings of the IEEE International Conference on Big Data, pp

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:18:15.075847Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T20:18:14.132433Z digest=sha256:c87ba72ea85e36992c6ce3f70db3592a5858719a67ffd4025f10f07f35efb90d

Observation e39361ab-14f2-4b8b-999a-e6d8d876dee9 · outbound

This paper cites Deepfakes detection across generations: Analysis of facial regions, fusion, and performance evaluation.

Privacy-Aware Detection of Fake Identity Documents: Methodology, Benchmark, and Improved Algorithms (FakeIDet2) Deepfakes detection across generations: Analysis of facial regions, fusion, and performance evaluation

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:18:15.814355Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T20:18:13.815259Z digest=sha256:37345d83a49d92cfa9c7e5593f738b86894bdd30829906fd99fce4b84f5d5d82

Observation d8350954-2ecf-4539-83bf-7710f3b61f77 · outbound

This paper cites Media Forensics and DeepFakes: An Overview.

Privacy-Aware Detection of Fake Identity Documents: Methodology, Benchmark, and Improved Algorithms (FakeIDet2) Media Forensics and DeepFakes: An Overview

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:18:15.406017Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T20:18:13.977839Z digest=sha256:27828fd459e3909991299d0b15a0affa46a5276da3b28fcf45126185cd49223f

Observation 7dc297a2-2dca-41ae-abb1-c3561bc4d84b · outbound

This paper cites The Secret Revealer: Generative Model-Inversion Attacks Against Deep Neural Net- works, in: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp.

Privacy-Aware Detection of Fake Identity Documents: Methodology, Benchmark, and Improved Algorithms (FakeIDet2) The Secret Revealer: Generative Model-Inversion Attacks Against Deep Neural Net- works, in: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:18:14.906097Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T20:18:14.235583Z digest=sha256:77f2892676130126a2971154a33d5f42076c76741736d77fd99eaf7a0d3b555c

Observation 7694373d-d3c1-47a7-8e54-ee4a2a5655cb · outbound

This paper cites IET Biometrics 11, 383–395.

Privacy-Aware Detection of Fake Identity Documents: Methodology, Benchmark, and Improved Algorithms (FakeIDet2) IET Biometrics 11, 383–395

Reference 2022

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:18:17.650223Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T20:18:12.854743Z digest=sha256:64daea19a33b72f0efd253fa2dc6e62e4e5f93cf8bd30fdcf0d62582175a6366

Observation ac9d276f-08d5-4769-a893-63361850cc08 · outbound

This paper cites Nature 625, 548–556.

Privacy-Aware Detection of Fake Identity Documents: Methodology, Benchmark, and Improved Algorithms (FakeIDet2) Nature 625, 548–556

Reference 2024

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:18:20.843645Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T20:18:11.357800Z digest=sha256:5db61378ad0fe8323c81f0915db1753ed7587d9ba9209bbf869462d68ffb46d8

Observation 0a177d25-389f-4db3-b40e-f886e50688fa · outbound

This paper cites Addressing Bias in LLMs: Strategies and Application to Fair AI-based Recruitment.

Privacy-Aware Detection of Fake Identity Documents: Methodology, Benchmark, and Improved Algorithms (FakeIDet2) Addressing Bias in LLMs: Strategies and Application to Fair AI-based Recruitment

Reference 2025

Resolution
metadata mismatch
local_arxiv, observed 2026-08-05T20:18:14.424724Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T20:18:13.249870Z digest=sha256:ece17182046341341e4ee6bd13a002a1538971ad8efa1a49b583dcf57113757c

Pith citing papers

No inbound Pith citation observations are available.