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Paper Citation Record · LEDGER

FakeIDet3-DB: Refining Digital Attacks and Patch Extraction for Secure ID Benchmarking

As of 7 August 2026, this Paper Citation Record lists 49 of 49 outbound references and 0 inbound Pith citation observations for arXiv:2607.26641.

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

pith.paper-citation-record.v1
2607.26641 v1

Coverage vector

measured 49 of 49 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T11:46:33.518128Z

measured 49 of 49 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

49 of 49 outbound references displayed

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  • verified fuzzy0
  • unresolved49
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9fdb5675-95d8-45c5-af46-a50119342047 · outbound

This paper cites Leveraging Avatar Fingerprinting: A Multi-Generator Photorealistic Talking-Head Public Database and Benchmark,.

FakeIDet3-DB: Refining Digital Attacks and Patch Extraction for Secure ID Benchmarking Leveraging Avatar Fingerprinting: A Multi-Generator Photorealistic Talking-Head Public Database and Benchmark,

Reference 1

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source=pdf_text observed=2026-08-01T11:46:31.987799Z digest=sha256:956243283b6521f7f69e23ba7ce4efedb92c182e4650da9582822d28070166ed

Observation 44a73a97-949e-4520-a816-af6c9e3849a0 · outbound

This paper cites Deepfakes and Beyond: A Survey of Face Manip- ulation and Fake Detection,.

FakeIDet3-DB: Refining Digital Attacks and Patch Extraction for Secure ID Benchmarking Deepfakes and Beyond: A Survey of Face Manip- ulation and Fake Detection,

Reference 2

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source=pdf_text observed=2026-08-01T11:46:32.106658Z digest=sha256:07000388841d4b53f699906e16929debf9759c63255a1e565ef39efdd26fece5

Observation f22b400d-3dc9-4778-af37-b0b50b5119fc · outbound

This paper cites Face Morphing Attack Generation and Detection: A Comprehensive Survey,.

FakeIDet3-DB: Refining Digital Attacks and Patch Extraction for Secure ID Benchmarking Face Morphing Attack Generation and Detection: A Comprehensive Survey,

Reference 3

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source=pdf_text observed=2026-08-01T11:46:32.176634Z digest=sha256:35d9608d32c0a11efa9874036ebb391032c8b8a80733e396712eea7b9b7b08a9

Observation afb0211d-f92f-4fc5-a197-ee7b263c1287 · outbound

This paper cites Character-Aware Models Improve Visual Text Rendering,.

FakeIDet3-DB: Refining Digital Attacks and Patch Extraction for Secure ID Benchmarking Character-Aware Models Improve Visual Text Rendering,

Reference 4

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source=pdf_text observed=2026-08-01T11:46:32.232510Z digest=sha256:5928b0a611b366cede780e83648089c43665ca3ee3e9d98f774eecdfa5f4bf92

Observation 1a080d34-c5b3-40ae-823a-b9d7e3d31bd4 · outbound

This paper cites Focus on Finding Deepfakes: A Robust Proactive Detection Method Based on Orthogonal Moment Watermarking,.

FakeIDet3-DB: Refining Digital Attacks and Patch Extraction for Secure ID Benchmarking Focus on Finding Deepfakes: A Robust Proactive Detection Method Based on Orthogonal Moment Watermarking,

Reference 5

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source=pdf_text observed=2026-08-01T11:46:32.295758Z digest=sha256:decfc29f3227a51f2ddc9576fc3ff2a430780540efb3843be8a847fbe526f520

Observation aae7d5e1-364b-4e7f-891a-6f83a5d05993 · outbound

This paper cites Toward Generalizable Forgery Detection and Reasoning,.

FakeIDet3-DB: Refining Digital Attacks and Patch Extraction for Secure ID Benchmarking Toward Generalizable Forgery Detection and Reasoning,

Reference 6

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source=pdf_text observed=2026-08-01T11:46:32.413280Z digest=sha256:b34d16da463f87252b26051e940e21763c447b9bf6ceb6a188fde29bd9de142a

Observation e3e0e484-bbc6-4229-967d-fe2565809d0b · outbound

This paper cites Unsupervised Domain Adaptation-Based Cross-Type Deepfake Image Detection,.

FakeIDet3-DB: Refining Digital Attacks and Patch Extraction for Secure ID Benchmarking Unsupervised Domain Adaptation-Based Cross-Type Deepfake Image Detection,

Reference 7

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source=pdf_text observed=2026-08-01T11:46:32.529449Z digest=sha256:39f090a1d1faff3e04df06d081e4620755a5cc2827e3d20663db763a4a01bfa7

Observation 8f470b5d-e1aa-43da-b7bc-f794c0b286f2 · outbound

This paper cites FantasyID: A Dataset for Detecting Digital Manipulations in ID-Documents,.

FakeIDet3-DB: Refining Digital Attacks and Patch Extraction for Secure ID Benchmarking FantasyID: A Dataset for Detecting Digital Manipulations in ID-Documents,

Reference 8

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source=pdf_text observed=2026-08-01T11:46:32.599275Z digest=sha256:d50b5b6458303fad8b4c62e8dee894aad1f284474eaaa926dba5d4fbdfec4dce

Observation 42015388-3593-4bab-bb87-7c0f971ba07f · outbound

This paper cites DeepID Challenge of Detecting Synthetic Manipulations in ID Documents,.

FakeIDet3-DB: Refining Digital Attacks and Patch Extraction for Secure ID Benchmarking DeepID Challenge of Detecting Synthetic Manipulations in ID Documents,

Reference 9

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source=pdf_text observed=2026-08-01T11:46:32.645184Z digest=sha256:758539b1c043bf41d79b770f20b35a4ef67981f3c42d68eed6676a03fb3ed0af

Observation 02397a8e-dffb-40cc-8edf-8cfe9c972d17 · outbound

This paper cites Second Competition on Presentation Attack Detection on ID Card,.

FakeIDet3-DB: Refining Digital Attacks and Patch Extraction for Secure ID Benchmarking Second Competition on Presentation Attack Detection on ID Card,

Reference 10

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source=pdf_text observed=2026-08-01T11:46:32.705564Z digest=sha256:91c6d7a9b24720537320d2826b093afe91035c99b516fde310b5484e66740b97

Observation 44fc91be-1c46-4d40-b661-369c9d1e0ecb · outbound

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

FakeIDet3-DB: Refining Digital Attacks and Patch Extraction for Secure ID Benchmarking FakeIDet: Exploring Patches for Privacy- Preserving Fake ID Detection,

Reference 11

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source=pdf_text observed=2026-08-01T11:46:32.775290Z digest=sha256:4a891a4630b4798b797d0bb543766a05e3fe22feadf0e16445ec0fe5da1cee59

Observation 214296d8-191a-416d-bbce-5937ad17d3d1 · outbound

This paper cites Privacy-Aware Detection of Fake Identity Documents: Method- ology, Benchmark, and Improved Algorithms (FakeIDet2),.

FakeIDet3-DB: Refining Digital Attacks and Patch Extraction for Secure ID Benchmarking Privacy-Aware Detection of Fake Identity Documents: Method- ology, Benchmark, and Improved Algorithms (FakeIDet2),

Reference 12

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source=pdf_text observed=2026-08-01T11:46:32.845583Z digest=sha256:f1a80ce72c4095b086fc558a175ad41d805f33951651f40f5a8bc0459cc096f8

Observation 479b45fe-cbcb-4ee8-be92-6d0a183e56db · outbound

This paper cites Data Balancing Method for Training Segmentation Neural Networks,.

FakeIDet3-DB: Refining Digital Attacks and Patch Extraction for Secure ID Benchmarking Data Balancing Method for Training Segmentation Neural Networks,

Reference 13

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source=pdf_text observed=2026-08-01T11:46:32.870472Z digest=sha256:6d4d5184934877f5c321df715f72f489ab7ab4641cc8a1ebc40c3a652da7c42d

Observation 9bbfb5b5-e1d1-4cc4-ad90-d93079ba452f · outbound

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

FakeIDet3-DB: Refining Digital Attacks and Patch Extraction for Secure ID Benchmarking KID34K: A Dataset for Online Identity Card Fraud Detection,

Reference 14

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source=pdf_text observed=2026-08-01T11:46:32.939937Z digest=sha256:0c1268e2630d1e1d65cecc2ac1e180861714b8c69de882db4f1e21830ca03462

Observation 923239b8-0ddc-4003-8271-15e7ff46e131 · outbound

This paper cites MIDV-2019: Challenges of the Modern Mobile-Based Document OCR,.

FakeIDet3-DB: Refining Digital Attacks and Patch Extraction for Secure ID Benchmarking MIDV-2019: Challenges of the Modern Mobile-Based Document OCR,

Reference 15

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source=pdf_text observed=2026-08-01T11:46:32.973916Z digest=sha256:351172259ac5260c9f53f18cc375e640897f526e9161b2ad00b692a90d2176f8

Observation 1af42bb8-9df9-48e5-8a4e-b4c3b2897ea0 · outbound

This paper cites MIDV-2020: A Comprehensive Benchmark Dataset for Identity Document Analysis,.

FakeIDet3-DB: Refining Digital Attacks and Patch Extraction for Secure ID Benchmarking MIDV-2020: A Comprehensive Benchmark Dataset for Identity Document Analysis,

Reference 16

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source=pdf_text observed=2026-08-01T11:46:33.090086Z digest=sha256:7e477d329b27d00f5e8152c87d4b5abc1faa331cc090fd5587693287829497fd

Observation 5b82c521-6cfd-4d2d-885f-1659e2f216e0 · outbound

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

FakeIDet3-DB: Refining Digital Attacks and Patch Extraction for Secure ID Benchmarking MIDV-500: A Dataset for Identity Document Analysis and Recognition on Mobile Devices in Video Stream,

Reference 17

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source=pdf_text observed=2026-08-01T11:46:33.160510Z digest=sha256:d4a18714c45b7458f64f5bdc6fe0407a3f3778710dac8d7839ae41a64c12505f

Observation 94ccdb9d-796f-41d4-904e-486be2007855 · outbound

This paper cites Document Liveness Challenge Dataset (DLC- 2021),.

FakeIDet3-DB: Refining Digital Attacks and Patch Extraction for Secure ID Benchmarking Document Liveness Challenge Dataset (DLC- 2021),

Reference 18

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source=pdf_text observed=2026-08-01T11:46:33.229894Z digest=sha256:57ab7cbf299a93b08789f05da8797b4b7173932b9d05c3236e4286ca225c13e7

Observation 337ccf8f-2469-4920-a8dd-870cc1990203 · outbound

This paper cites IDNet: A Novel Identity Document Dataset via Few- Shot and Quality-Driven Synthetic Data Generation,.

FakeIDet3-DB: Refining Digital Attacks and Patch Extraction for Secure ID Benchmarking IDNet: A Novel Identity Document Dataset via Few- Shot and Quality-Driven Synthetic Data Generation,

Reference 19

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source=pdf_text observed=2026-08-01T11:46:33.299896Z digest=sha256:3cf71dc34309711238c60d689e74bd7a5889660b2e188f2523d8b6d1ad453240

Observation 85c41ebb-4000-4e54-98e3-dad8435aced1 · outbound

This paper cites Detecting Presentation Attacks on ID Cards Using Feature Refinement,.

FakeIDet3-DB: Refining Digital Attacks and Patch Extraction for Secure ID Benchmarking Detecting Presentation Attacks on ID Cards Using Feature Refinement,

Reference 20

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source=pdf_text observed=2026-08-01T11:46:33.397805Z digest=sha256:5b6148f858653ef20004b57cb975de69fca80edc52bdc3e99cd520f4f8026b26

Observation 2d45795b-d8c1-4dfa-bdbc-3343390e35f6 · outbound

This paper cites Synthetic ID Card Image Generation for Improv- ing Presentation Attack Detection,.

FakeIDet3-DB: Refining Digital Attacks and Patch Extraction for Secure ID Benchmarking Synthetic ID Card Image Generation for Improv- ing Presentation Attack Detection,

Reference 21

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source=pdf_text observed=2026-08-01T11:46:33.423474Z digest=sha256:7491a4d76ec53e88ab725dac5fc70b2b328ab938d252ef05795cb7cad94013db

Observation 20916bd1-8dc8-45f1-a82c-c73de78d008c · outbound

This paper cites PatchMatch: A Randomized Correspondence Algo- rithm for Structural Image Editing,.

FakeIDet3-DB: Refining Digital Attacks and Patch Extraction for Secure ID Benchmarking PatchMatch: A Randomized Correspondence Algo- rithm for Structural Image Editing,

Reference 22

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source=pdf_text observed=2026-08-01T11:46:33.427149Z digest=sha256:bcf4e12eb83cb60f767b853c26ebdf3b704159ad26bd34cd58e81bafe9815efb

Observation 34fa796a-82c4-47eb-8bf1-70b87c911f06 · outbound

This paper cites Scaling In-Context Segmentation with Hierarchical Supervision,.

FakeIDet3-DB: Refining Digital Attacks and Patch Extraction for Secure ID Benchmarking Scaling In-Context Segmentation with Hierarchical Supervision,

Reference 23

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source=pdf_text observed=2026-08-01T11:46:33.430564Z digest=sha256:9a9490d997770860e1cd4bc79bd49206cc57fb7912209cfad2191a00fd7f9989

Observation 010dd3c8-0a0b-45bc-a233-33e78fb62aa1 · outbound

This paper cites Image forgery detection,.

FakeIDet3-DB: Refining Digital Attacks and Patch Extraction for Secure ID Benchmarking Image forgery detection,

Reference 24

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source=pdf_text observed=2026-08-01T11:46:33.433875Z digest=sha256:735c7a62a87926ed3d1296edbd92c8719537611183ca59c130d23c2ece545071

Observation 93065ee5-8f71-4125-9b11-a3c0bb61236e · outbound

This paper cites Diffusion Models in Vision: A Survey,.

FakeIDet3-DB: Refining Digital Attacks and Patch Extraction for Secure ID Benchmarking Diffusion Models in Vision: A Survey,

Reference 25

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source=pdf_text observed=2026-08-01T11:46:33.437173Z digest=sha256:e4bbe0d745000df1f9e4908b20dd3b3c7ad5e508e2ed22fe3022ff1abfd75f17

Observation dc1c1152-a5eb-472b-accb-14601bfabf6e · outbound

This paper cites Improving Diffusion Models for Scene Text Editing with Dual Encoders.

FakeIDet3-DB: Refining Digital Attacks and Patch Extraction for Secure ID Benchmarking Improving Diffusion Models for Scene Text Editing with Dual Encoders

Reference 26

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source=pdf_text observed=2026-08-01T11:46:33.440645Z digest=sha256:466f95faaa0f50fa45885156085177938dce7432c20c00f958f3fa52b45af364

Observation 70bcd0da-cd05-4bf9-80b2-ce439b885eec · outbound

This paper cites UDiffText: A Unified Framework for High-Quality Text Synthesis in Arbitrary Images via Character-Aware Diffusion Models,.

FakeIDet3-DB: Refining Digital Attacks and Patch Extraction for Secure ID Benchmarking UDiffText: A Unified Framework for High-Quality Text Synthesis in Arbitrary Images via Character-Aware Diffusion Models,

Reference 27

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source=pdf_text observed=2026-08-01T11:46:33.444245Z digest=sha256:18acd952a1907256b40f75644ecc2bbe4ea99a2d7673c4b118993dea6d374442

Observation 476e7292-1017-471a-996d-ae07b5650353 · outbound

This paper cites TextDiffuser-2: Unleashing the Power of Language Models for Text Rendering,.

FakeIDet3-DB: Refining Digital Attacks and Patch Extraction for Secure ID Benchmarking TextDiffuser-2: Unleashing the Power of Language Models for Text Rendering,

Reference 28

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source=pdf_text observed=2026-08-01T11:46:33.447648Z digest=sha256:fdc6b2d3109a454b5556cbf4b49cc3bc8d3683777d6ea01eef20af1b90598d3a

Observation efb92b59-d88e-4160-8485-67c4d0235875 · outbound

This paper cites Recognition-Synergistic Scene Text Editing,.

FakeIDet3-DB: Refining Digital Attacks and Patch Extraction for Secure ID Benchmarking Recognition-Synergistic Scene Text Editing,

Reference 29

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source=pdf_text observed=2026-08-01T11:46:33.450835Z digest=sha256:1733616866efc93512486a388bb70ab080a83eea6b4856691083219895c5f44c

Observation 32b75655-5f43-465e-9d1d-ff44e4e9a87c · outbound

This paper cites DiffMorpher: Unleashing the Capability of Diffusion Models for Image Morphing,.

FakeIDet3-DB: Refining Digital Attacks and Patch Extraction for Secure ID Benchmarking DiffMorpher: Unleashing the Capability of Diffusion Models for Image Morphing,

Reference 30

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source=pdf_text observed=2026-08-01T11:46:33.454309Z digest=sha256:f6a18e5b0e5e8fb2208b095d6f741393e761605f7db4662bdaa7b46a6aee05d0

Observation 648a6d5f-d1f2-431f-a09d-46505cb582ae · outbound

This paper cites FreeMorph: Tuning-Free Generalized Image Morphing with Diffusion Model,.

FakeIDet3-DB: Refining Digital Attacks and Patch Extraction for Secure ID Benchmarking FreeMorph: Tuning-Free Generalized Image Morphing with Diffusion Model,

Reference 31

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source=pdf_text observed=2026-08-01T11:46:33.457656Z digest=sha256:37871de3bcdcfd1e1e4e4db8cda85b674eb1b8e7e7d82ff8352b767b53d33311

Observation 7523f959-e46e-430a-9a85-15f467e37636 · outbound

This paper cites Realistic and Efficient Face Swapping: A Unified Approach with Diffusion Models,.

FakeIDet3-DB: Refining Digital Attacks and Patch Extraction for Secure ID Benchmarking Realistic and Efficient Face Swapping: A Unified Approach with Diffusion Models,

Reference 32

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source=pdf_text observed=2026-08-01T11:46:33.460851Z digest=sha256:c73c1391e544c3221efc6af787bcd171a6cd437493e765d6b7adaa7e096415e2

Observation 4007a6ca-f220-4eb7-b838-d6eeb01c75f1 · outbound

This paper cites A Review on Generative Adversarial Networks: Al- gorithms, Theory, and Applications,.

FakeIDet3-DB: Refining Digital Attacks and Patch Extraction for Secure ID Benchmarking A Review on Generative Adversarial Networks: Al- gorithms, Theory, and Applications,

Reference 33

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source=pdf_text observed=2026-08-01T11:46:33.464174Z digest=sha256:ba9573260c8f9571f560b95b9b3be329370ca2891161e8918181278469a67b85

Observation f38b613b-ae51-4ea3-84e6-873e0e238223 · outbound

This paper cites FaceDancer: Pose- and Occlusion-Aware High Fi- delity Face Swapping,.

FakeIDet3-DB: Refining Digital Attacks and Patch Extraction for Secure ID Benchmarking FaceDancer: Pose- and Occlusion-Aware High Fi- delity Face Swapping,

Reference 34

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source=pdf_text observed=2026-08-01T11:46:33.467587Z digest=sha256:cfbdcae88afc93f8bfb816c483d92d1f0f970f0e76b1060f7b92ee2819e41632

Observation 713f7718-cbd6-4a9f-941d-9337be437889 · outbound

This paper cites Resolution-robust Large Mask Inpainting with Fourier Convolutions,.

FakeIDet3-DB: Refining Digital Attacks and Patch Extraction for Secure ID Benchmarking Resolution-robust Large Mask Inpainting with Fourier Convolutions,

Reference 35

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source=pdf_text observed=2026-08-01T11:46:33.471039Z digest=sha256:2263f821dd0babf629447b15b43a94ed81510a5de4961f77dd0bcffacee240ca

Observation 73dd17b1-1330-48b0-ba70-5a4e505ff340 · outbound

This paper cites CNN-Generated Images Are Surprisingly Easy to Spot... for Now,.

FakeIDet3-DB: Refining Digital Attacks and Patch Extraction for Secure ID Benchmarking CNN-Generated Images Are Surprisingly Easy to Spot... for Now,

Reference 36

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source=pdf_text observed=2026-08-01T11:46:33.474460Z digest=sha256:d3981acd110fc966c747f0a0534a2f6c207166605843259ce5b968a3eb49cc6c

Observation fdf7b642-0210-4812-be6a-65ab17dc2b36 · outbound

This paper cites Deep Image Fingerprint: Towards Low Budget Synthetic Image Detection and Model Lineage Analysis,.

FakeIDet3-DB: Refining Digital Attacks and Patch Extraction for Secure ID Benchmarking Deep Image Fingerprint: Towards Low Budget Synthetic Image Detection and Model Lineage Analysis,

Reference 37

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source=pdf_text observed=2026-08-01T11:46:33.477878Z digest=sha256:100f54bf6abc56aafa0077559863f1b85eefd843ff9a6b15424bc54b4e0fe0a3

Observation f0733014-7a03-47a4-8cc3-f86efa357143 · outbound

This paper cites GANprintR: Improved Fakes and Evaluation of the State of the Art in Face Manipulation Detection,.

FakeIDet3-DB: Refining Digital Attacks and Patch Extraction for Secure ID Benchmarking GANprintR: Improved Fakes and Evaluation of the State of the Art in Face Manipulation Detection,

Reference 38

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source=pdf_text observed=2026-08-01T11:46:33.481245Z digest=sha256:e1357574b334de1a3f135131396c249f119fe381d6cfb001b2537880db94edaa

Observation e9e3637a-aef9-48cf-ba8f-f00fa1d52f3b · outbound

This paper cites Hi-SAM: Marrying Segment Anything Model for Hier- archical Text Segmentation,.

FakeIDet3-DB: Refining Digital Attacks and Patch Extraction for Secure ID Benchmarking Hi-SAM: Marrying Segment Anything Model for Hier- archical Text Segmentation,

Reference 39

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source=pdf_text observed=2026-08-01T11:46:33.484569Z digest=sha256:2ae70bc192325b3d5875f423baeab011fe19f7effdfe817d04a863ac4daaa3ba

Observation f2a2392e-0f4b-4f48-a0d5-1f83ab4ead1a · outbound

This paper cites SAM 2: Segment anything in images and videos,.

FakeIDet3-DB: Refining Digital Attacks and Patch Extraction for Secure ID Benchmarking SAM 2: Segment anything in images and videos,

Reference 40

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-01T11:46:33.487962Z digest=sha256:9b51153aa3f1476e7d5d685fc31aae487d256b7e37154bd3f081c76a83aff2ef

Observation 9d667984-ca46-4dfc-9f9a-3c7fd31fe9dd · outbound

This paper cites Learning Patch-Channel Correspondence for Interpretable Face Forgery Detection,.

FakeIDet3-DB: Refining Digital Attacks and Patch Extraction for Secure ID Benchmarking Learning Patch-Channel Correspondence for Interpretable Face Forgery Detection,

Reference 41

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-01T11:46:33.491253Z digest=sha256:467047236ad1c8dc6e32280ae39d0fcb407d8b6f553dc869daca4131290aad59

Observation f2c1eb7c-91e8-4141-a772-4341f51e854a · outbound

This paper cites What Makes Fake Images Detectable? Understanding Properties that Generalize,.

FakeIDet3-DB: Refining Digital Attacks and Patch Extraction for Secure ID Benchmarking What Makes Fake Images Detectable? Understanding Properties that Generalize,

Reference 42

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-01T11:46:33.494648Z digest=sha256:de6e3f3a3fa8a0c30dc396878b224893cbc59c7c8125856d02abf51e37aa5fab

Observation 86d0cd43-57e3-47a1-8eca-8eb02c5fc0ea · outbound

This paper cites Sequential Operations in Digital Picture Processing,.

FakeIDet3-DB: Refining Digital Attacks and Patch Extraction for Secure ID Benchmarking Sequential Operations in Digital Picture Processing,

Reference 43

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-01T11:46:33.498250Z digest=sha256:039bf0511287d1baba5bff9e21821cee20e9a2b078be222fb80f6fb9fd0d50cd

Observation 02094057-a755-47d8-be59-8dd1a811182e · outbound

This paper cites Distance Functions on Digital Pictures,.

FakeIDet3-DB: Refining Digital Attacks and Patch Extraction for Secure ID Benchmarking Distance Functions on Digital Pictures,

Reference 44

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-01T11:46:33.501479Z digest=sha256:c86948db5fd9b91e65a0589e6089347361ef5cd42e60e41f7c78c3064473a667

Observation 80b687ca-639a-412d-b570-b0a130ee8438 · outbound

This paper cites First Competition on Presentation Attack Detection on ID Card,.

FakeIDet3-DB: Refining Digital Attacks and Patch Extraction for Secure ID Benchmarking First Competition on Presentation Attack Detection on ID Card,

Reference 45

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no resolver link, observed 2026-08-01T11:46:33.504960Z

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source=pdf_text observed=2026-08-01T11:46:33.504960Z digest=sha256:52b3ca6973dce1ef23d0da540f2659cde1348d34220f968accbf0e421a8e5b3d

Observation d8f97718-6e1e-4cae-9782-aca286ea0fd0 · outbound

This paper cites TruFor: Leveraging All-Round Clues for Trustworthy Image Forgery Detection and Localization,.

FakeIDet3-DB: Refining Digital Attacks and Patch Extraction for Secure ID Benchmarking TruFor: Leveraging All-Round Clues for Trustworthy Image Forgery Detection and Localization,

Reference 46

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-01T11:46:33.508401Z digest=sha256:96c9b8ab7793f3784189d7d71479c55ab46bbd6e1a86dde76c55c271304045e5

Observation 44c373c8-d8be-44c5-bef5-b7540af59d08 · outbound

This paper cites DiffForensics: Leveraging Diffusion Prior to Image Forgery Detection and Localization,.

FakeIDet3-DB: Refining Digital Attacks and Patch Extraction for Secure ID Benchmarking DiffForensics: Leveraging Diffusion Prior to Image Forgery Detection and Localization,

Reference 47

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-01T11:46:33.511529Z digest=sha256:e63e8d49df66eeb4eb0c149e6d098ee9a82cc81ca3b6798f70b57cf0d6bd8262

Observation 1b098ec5-ea3a-43a5-9ca6-07ff21b1c9cc · outbound

This paper cites Reinforced Multi-teacher Knowledge Distillation for Efficient General Image Forgery Detection and Localization,.

FakeIDet3-DB: Refining Digital Attacks and Patch Extraction for Secure ID Benchmarking Reinforced Multi-teacher Knowledge Distillation for Efficient General Image Forgery Detection and Localization,

Reference 48

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-01T11:46:33.514668Z digest=sha256:36cd874182716cd6f5692177c83f6740471b408142b4356426538444fdb05d32

Observation e63ca685-8cb1-42f9-9f67-876307a90660 · outbound

This paper cites Can We Get Rid of Handcrafted Feature Extractors? Spar- seViT: Nonsemantics-Centered, Parameter-Efficient Image Manipulation Localization Through Spare-Coding Transformer,.

FakeIDet3-DB: Refining Digital Attacks and Patch Extraction for Secure ID Benchmarking Can We Get Rid of Handcrafted Feature Extractors? Spar- seViT: Nonsemantics-Centered, Parameter-Efficient Image Manipulation Localization Through Spare-Coding Transformer,

Reference 49

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source=pdf_text observed=2026-08-01T11:46:33.518128Z digest=sha256:f5d84f8cff8ac8a7a9adf8831dcc394b12d252151881afeab44fe94512d17b8b

Pith citing papers

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