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Paper Citation Record · LEDGER

MADation: Face Morphing Attack Detection with Foundation Models

As of 11 August 2026, this Paper Citation Record lists 56 of 56 outbound references and 2 inbound Pith citation observations for arXiv:2501.03800.

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

pith.paper-citation-record.v1
2501.03800 v3

Coverage vector

measured 56 of 56 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T21:50:32.383246Z

measured 58 of 58 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T15:43:10.708175Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-10T06:56:47.189310Z

Reference resolution

56 of 56 outbound references displayed

  • verified exact1
  • verified fuzzy37
  • unresolved18
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 422d88d3-70c5-4372-b4c9-53b2cfe0f375 · outbound

This paper cites Intrinsic Dimensionality Explains the Effectiveness of Language Model Fine-Tuning.

MADation: Face Morphing Attack Detection with Foundation Models Intrinsic Dimensionality Explains the Effectiveness of Language Model Fine-Tuning

Reference 1

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Unavailable: canonical work link unavailable.

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Observation bca7a219-2f4a-4642-a0ed-754495cfff0c · outbound

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

MADation: Face Morphing Attack Detection with Foundation Models An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 2

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source=pdf_text observed=2026-08-10T21:50:31.877802Z digest=sha256:8737743e2420b896334b13c787d057d302991c5cacf4b5d8f440d0f06849cb07

Observation 080421ff-9eb6-4dbc-aefc-a2624724c552 · outbound

This paper cites Morphed face detection with wavelet- based co-occurrence matrices.

MADation: Face Morphing Attack Detection with Foundation Models Morphed face detection with wavelet- based co-occurrence matrices

Reference 3

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T21:50:31.884172Z digest=sha256:bd72bf346d6acf95e29a7900136b5922348acde067d6826c75522be4f816dfaa

Observation 857804d1-019d-4939-a7dc-7af696569ed6 · outbound

This paper cites On the Opportunities and Risks of Foundation Models.

MADation: Face Morphing Attack Detection with Foundation Models On the Opportunities and Risks of Foundation Models

Reference 4

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source=pdf_text observed=2026-08-10T21:50:31.893802Z digest=sha256:5e933e0937392244961138a752ef96e2c33522e82ddb3306750b30b3149b777d

Observation 76a71cba-9782-4d43-9f72-4dbcaff7cbdd · outbound

This paper cites Elasticface: Elastic margin loss for deep face recognition.

MADation: Face Morphing Attack Detection with Foundation Models Elasticface: Elastic margin loss for deep face recognition

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T21:50:31.900901Z digest=sha256:f2aa752170022479f67656922e10df75fdefc83167f5dd16a84d8b55521bee7e

Observation b0ca836c-6390-45b6-9a62-8ec052b97e29 · outbound

This paper cites an unresolved cited work.

MADation: Face Morphing Attack Detection with Foundation Models Unresolved cited work

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T21:50:31.908068Z digest=sha256:87e16e83f7a48817201a00624cd609f7f45dea740d7857b6a3b0565bd11a693a

Observation 92d784b2-9df0-496e-aed2-b019202d1c23 · outbound

This paper cites Unveiling the two-faced truth: Disentangling morphed identities for face morphing detection.

MADation: Face Morphing Attack Detection with Foundation Models Unveiling the two-faced truth: Disentangling morphed identities for face morphing detection

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T21:50:31.918850Z digest=sha256:a992ecb86176b97583c54d876827bff361e15033a3b6ce0a2f0251e2e339dddb

Observation 4c9a875a-d8d4-44ec-a674-1a979e64b0e0 · outbound

This paper cites Adapting vision foundation models for plant pheno- typing.

MADation: Face Morphing Attack Detection with Foundation Models Adapting vision foundation models for plant pheno- typing

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T21:50:31.959656Z digest=sha256:af4c77aa21317f8816e72395ca79522bf488e80cbb1229d0a369c908b9a2682e

Observation 5b7c19e2-aab7-49ef-af0e-f934f89afe62 · outbound

This paper cites Adaptformer: Adapting vision transformers for scalable visual recogni- tion.

MADation: Face Morphing Attack Detection with Foundation Models Adaptformer: Adapting vision transformers for scalable visual recogni- tion

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T21:50:31.994748Z digest=sha256:756f20a443660a3777f283102efe4b3e4541082dc70564e5ecb35f00ba900012

Observation c2f66e18-281d-449d-8155-7d5c93607ca3 · outbound

This paper cites Vision Transformer Adapter for Dense Predictions.

MADation: Face Morphing Attack Detection with Foundation Models Vision Transformer Adapter for Dense Predictions

Reference 10

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source=pdf_text observed=2026-08-10T21:50:32.004734Z digest=sha256:0e2c1c5d6bf732ca36ce16a0c21f151fe2f40b3a7e33bd903675c65de36b2d41

Observation 08c9a55a-b7ca-4674-a1a4-dcf5bb6d7fa2 · outbound

This paper cites FRoundation: Are Foundation Models Ready for Face Recognition?.

MADation: Face Morphing Attack Detection with Foundation Models FRoundation: Are Foundation Models Ready for Face Recognition?

Reference 11

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source=pdf_text observed=2026-08-10T21:50:32.015476Z digest=sha256:9bc6928469c3b279c476ba764d8d8c28be2492488a88aaa40b25b65aed809700

Observation cdb055cf-96d2-4a1e-8eed-9c71796ef8a7 · outbound

This paper cites Detect- ing face morphing attacks by analyzing the directed distances of facial landmarks shifts.

MADation: Face Morphing Attack Detection with Foundation Models Detect- ing face morphing attacks by analyzing the directed distances of facial landmarks shifts

Reference 12

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raw_fallback, observed 2026-08-10T21:50:34.109972Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T21:50:32.027012Z digest=sha256:c493f2c6aaca99490cafe890a03438a545d0445c0ac9868d4fc272790ac33575

Observation bb98aed2-4893-4ad9-af70-d24cf335bbd2 · outbound

This paper cites Mordiff: Recognition vul- nerability and attack detectability of face morphing attacks created by diffusion autoencoders.

MADation: Face Morphing Attack Detection with Foundation Models Mordiff: Recognition vul- nerability and attack detectability of face morphing attacks created by diffusion autoencoders

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T21:50:32.042592Z digest=sha256:a777618781cc59173a1ec01911170a85fc1afc6237dac40b880d256196fdafcc

Observation aed98ac7-cabe-4331-acef-30aa1f552edb · outbound

This paper cites Privacy-friendly synthetic data for the development of face morphing attack detectors.

MADation: Face Morphing Attack Detection with Foundation Models Privacy-friendly synthetic data for the development of face morphing attack detectors

Reference 14

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T21:50:32.048084Z digest=sha256:09480029578b5539f5a0ae991e6e004aded7a0e535664cfba2897a9e8e3b706a

Observation 99f8d97d-a4d8-482b-92bb-14b8bd5605db · outbound

This paper cites Morgan: Recognition vulnerability and attack detectability of face morphing attacks created by gen- erative adversarial network.

MADation: Face Morphing Attack Detection with Foundation Models Morgan: Recognition vulnerability and attack detectability of face morphing attacks created by gen- erative adversarial network

Reference 15

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T21:50:32.056686Z digest=sha256:57bc479135672992c7e2ffa2fdc46edfefc2b9a4654eb98b85bf01c20290524d

Observation a396ddbb-a56b-4c3e-bb10-bab005e9511a · outbound

This paper cites To detect or not to detect: The right faces to morph.

MADation: Face Morphing Attack Detection with Foundation Models To detect or not to detect: The right faces to morph

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T21:50:32.062222Z digest=sha256:e21a86f2da7e7786794051faf053a7502573250ebd2c67bc11c7dc39ac06320b

Observation b25a01bc-4044-42bb-8b83-c4d1a91bef95 · outbound

This paper cites Pw-mad: Pixel- wise supervision for generalized face morphing attack detec- tion.

MADation: Face Morphing Attack Detection with Foundation Models Pw-mad: Pixel- wise supervision for generalized face morphing attack detec- tion

Reference 17

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T21:50:32.069548Z digest=sha256:bcc46fe71c7064fad521008779ea455f29bc5a3afb204dc34e3823f913b1018b

Observation d7c54701-a9cb-4a2d-98ce-dfeeab3c9896 · outbound

This paper cites debruine/webmorph: Beta release 2.

MADation: Face Morphing Attack Detection with Foundation Models debruine/webmorph: Beta release 2

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T21:50:32.075231Z digest=sha256:64f408a7380cfa7ce4f376ed221bb345774bdad4a1fe644d9cd3bcc406e59200

Observation 094a8280-cf20-48f5-9d8b-c645fd0c5f97 · outbound

This paper cites Face Research Lab Lon- don Set.

MADation: Face Morphing Attack Detection with Foundation Models Face Research Lab Lon- don Set

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T21:50:32.092060Z digest=sha256:5fa1241283c80b5f93f8e7d0a243076c6bff327da0b2698fc3eda8919141dfc9

Observation 2095a4e2-8275-4e5b-83d8-9e02fb933ea9 · outbound

This paper cites Arcface: Additive angular margin loss for deep face recognition.

MADation: Face Morphing Attack Detection with Foundation Models Arcface: Additive angular margin loss for deep face recognition

Reference 20

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 516d7045-d02b-4385-a0b1-8fb73cc1a2ae · outbound

This paper cites Unsuper- vised face morphing attack detection via self-paced anomaly detection.

MADation: Face Morphing Attack Detection with Foundation Models Unsuper- vised face morphing attack detection via self-paced anomaly detection

Reference 21

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raw_fallback, observed 2026-08-10T21:50:33.800773Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T21:50:32.109469Z digest=sha256:ec1a2a1c9dc9ec93f34d15278d4dacd041ce9bcf4493dbcd77f53915bd9215f7

Observation 2a646ec6-49f1-455d-8c7a-17892c651d23 · outbound

This paper cites Iris-SAM: Iris Segmentation Using a Foundation Model.

MADation: Face Morphing Attack Detection with Foundation Models Iris-SAM: Iris Segmentation Using a Foundation Model

Reference 22

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source=pdf_text observed=2026-08-10T21:50:32.118872Z digest=sha256:0ddfba31fdf0343c1d1299b9f1f9e82a11fce6b758fe5add9438f7d8b439ead3

Observation 02c40d63-5d37-4dc5-b088-ad82e0c410e8 · outbound

This paper cites The magic passport.

MADation: Face Morphing Attack Detection with Foundation Models The magic passport

Reference 23

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T21:50:32.124735Z digest=sha256:200699f71d6b35d2753f7be7611ef05e00f46bf5c2f11433c4cc18f5c1969341

Observation a246cc44-8541-4a5c-8272-80935e9a687a · outbound

This paper cites On the effects of image alterations on face recognition accuracy.

MADation: Face Morphing Attack Detection with Foundation Models On the effects of image alterations on face recognition accuracy

Reference 24

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T21:50:32.131731Z digest=sha256:6b4aa76e8dca8406b19eadabf31acbc2ddc2099feac7e1e7a03003a20f33ab11

Observation 40993c8c-5c25-4153-bb47-f540868a7821 · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

MADation: Face Morphing Attack Detection with Foundation Models LoRA: Low-Rank Adaptation of Large Language Models

Reference 25

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source=pdf_text observed=2026-08-10T21:50:32.141244Z digest=sha256:9cb8e0dbb96ba583ed03d262e1c290077dcb6972941ff9b69c734a06543f4d77

Observation 9cdda0ad-c2e2-46fd-9b3e-984093f911a5 · outbound

This paper cites Adaptive transformers for robust few-shot cross-domain face anti-spoofing.

MADation: Face Morphing Attack Detection with Foundation Models Adaptive transformers for robust few-shot cross-domain face anti-spoofing

Reference 26

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raw_fallback, observed 2026-08-10T21:50:33.660220Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T21:50:32.156121Z digest=sha256:e853cad9c307062fac12f62d4a38133d42f6ad12df9c6664dce73638516b64aa

Observation 1150a3b7-3398-4c70-b0f5-3c762ca71834 · outbound

This paper cites Syn-mad 2022: Competition on face morphing attack detec- tion based on privacy-aware synthetic training data.

MADation: Face Morphing Attack Detection with Foundation Models Syn-mad 2022: Competition on face morphing attack detec- tion based on privacy-aware synthetic training data

Reference 27

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raw_fallback, observed 2026-08-10T21:50:33.622639Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T21:50:32.162884Z digest=sha256:8c9560c8e304bd84ea66b2bcd9b3ded5983a021659e1df823bf9ec755d4767ea

Observation 876633be-36a6-4f88-9f52-9d2e26f019d2 · outbound

This paper cites ISO/IEC DIS 30107-3:2016: Information Technology – Biometric presen- tation attack detection – P.

MADation: Face Morphing Attack Detection with Foundation Models ISO/IEC DIS 30107-3:2016: Information Technology – Biometric presen- tation attack detection – P

Reference 28

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raw_fallback, observed 2026-08-10T21:50:33.546799Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T21:50:32.167655Z digest=sha256:589abf140cf4f801ffeaf638cdbb5ff0339511a8ebeef144c8f1ed1df1447e1d

Observation 1b773bbc-6e5e-4e87-aa8d-4458f2c4b9ca · outbound

This paper cites ISO/IEC DIS 20059: Information technology — Methodologies to evalu- ate the resistance of biometric recognition systems to mor- phing attacks, 2023.

MADation: Face Morphing Attack Detection with Foundation Models ISO/IEC DIS 20059: Information technology — Methodologies to evalu- ate the resistance of biometric recognition systems to mor- phing attacks, 2023

Reference 29

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raw_fallback, observed 2026-08-10T21:50:33.502102Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T21:50:32.175567Z digest=sha256:6aac31f498e97e9dad3b5df08503583e9723a5456d1dcfc787060a89b7c7f36c

Observation 527d8ba7-5554-400b-a443-f6898bd7c3d0 · outbound

This paper cites Face Morphing Attack Detection Using Privacy-Aware Training Data.

MADation: Face Morphing Attack Detection with Foundation Models Face Morphing Attack Detection Using Privacy-Aware Training Data

Reference 30

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local_arxiv, observed 2026-08-10T21:50:32.628814Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T21:50:32.181539Z digest=sha256:a82e224a97f2dff89389db386aea25e73a81d8b19eeacc64978193a63cdfc5de

Observation 322dfbe2-079f-440c-ba3b-caa7cf903953 · outbound

This paper cites Face morphing attack detection with denoising diffusion probabilistic models.

MADation: Face Morphing Attack Detection with Foundation Models Face morphing attack detection with denoising diffusion probabilistic models

Reference 31

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raw_fallback, observed 2026-08-10T21:50:33.414759Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T21:50:32.193490Z digest=sha256:bb127910e680ea3273f0c365bdb0c79bb6328cc94f1798f581468941544517a7

Observation 267b5e53-7da9-4ed3-bf7a-ec2505db5c6a · outbound

This paper cites A Rank Stabilization Scaling Factor for Fine-Tuning with LoRA.

MADation: Face Morphing Attack Detection with Foundation Models A Rank Stabilization Scaling Factor for Fine-Tuning with LoRA

Reference 32

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no resolver link, observed 2026-08-10T21:50:32.200631Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:50:32.200631Z digest=sha256:a68ca460fc6dcafaddc78ba25ad01352c786248d690f85ed307a17ff64dcec79

Observation b6dbe9b0-3019-4990-9868-3d5704f8c942 · outbound

This paper cites Training generative adver- sarial networks with limited data.

MADation: Face Morphing Attack Detection with Foundation Models Training generative adver- sarial networks with limited data

Reference 33

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raw_fallback, observed 2026-08-10T21:50:33.364844Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T21:50:32.206997Z digest=sha256:97e6c0a766fc1f7b54a3e541ce0e2a981eba79a907fcde01ce9f4e7860434a78

Observation bb07152e-be6e-4a52-a12d-26efaeaffcff · outbound

This paper cites Segment any- thing.

MADation: Face Morphing Attack Detection with Foundation Models Segment any- thing

Reference 34

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:50:32.218432Z digest=sha256:f762fbc998a6f37af334a1aa2f580d72c42e7bcd7d27155453c8b20218550dbc

Observation 961a53d8-9ee7-4c8f-8f66-9d8dace1216d · outbound

This paper cites Decoupled weight de- cay regularization.

MADation: Face Morphing Attack Detection with Foundation Models Decoupled weight de- cay regularization

Reference 35

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:50:32.228126Z digest=sha256:adfa35922a8bc27030e15f8e61d387083360a760b2ad5d03ff69f2bee0eaf24b

Observation fa77f54e-18a2-46cf-8f3b-c6ea195f8d75 · outbound

This paper cites Au- tomatic generation and detection of visually faultless fa- cial morphs.

MADation: Face Morphing Attack Detection with Foundation Models Au- tomatic generation and detection of visually faultless fa- cial morphs

Reference 36

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verified fuzzy
raw_fallback, observed 2026-08-10T21:50:33.309301Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T21:50:32.238460Z digest=sha256:e2a3bf065b25e0cc3132f8aab6b117984810cf5925ba343230ff4684c734e093

Observation 7f1021a2-7f92-4831-8bf3-75ff631bb628 · outbound

This paper cites Face morph using opencv — c++ / python.

MADation: Face Morphing Attack Detection with Foundation Models Face morph using opencv — c++ / python

Reference 37

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unresolved
no resolver link, observed 2026-08-10T21:50:32.246148Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:50:32.246148Z digest=sha256:3ed6855e973bc65f48e173aff6141e679a3b285a20719479642f7ca49806fa05

Observation 60619a0a-c6a2-4797-bc22-831bf2d4f65c · outbound

This paper cites Orthomad: Morph- ing attack detection through orthogonal identity disentangle- ment.

MADation: Face Morphing Attack Detection with Foundation Models Orthomad: Morph- ing attack detection through orthogonal identity disentangle- ment

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:50:33.275936Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T21:50:32.263138Z digest=sha256:4b76ad6f10d23e53df73a5cf85022a6488a58ed0483126c348f2e91d4d9f6356

Observation 68aa4efa-bd84-489a-a786-6b1c7eb976ad · outbound

This paper cites Extended stirtrace bench- marking of biometric and forensic qualities of morphed face images.

MADation: Face Morphing Attack Detection with Foundation Models Extended stirtrace bench- marking of biometric and forensic qualities of morphed face images

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:50:33.252534Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T21:50:32.271357Z digest=sha256:26f2e94d13771c7f20b84d6d4035dfc99ed834c05e8cd362659a220be7f1d160

Observation a3c41521-b86d-4108-8237-adc0a6109674 · outbound

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

MADation: Face Morphing Attack Detection with Foundation Models DINOv2: Learning Robust Visual Features without Supervision

Reference 40

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unresolved
no resolver link, observed 2026-08-10T21:50:32.278518Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:50:32.278518Z digest=sha256:0ac7b168baefeb73e1229f6dcfa83487de414af83e1aa178aa9501c2226f53c3

Observation 3fc0e30c-bd89-4e9f-acad-123fe5cb7e38 · outbound

This paper cites Arc2face: A foundation model for id-consistent human faces.

MADation: Face Morphing Attack Detection with Foundation Models Arc2face: A foundation model for id-consistent human faces

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:50:33.219429Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T21:50:32.285790Z digest=sha256:7d7eb6bd8fee230d319b8d2f176bcfd3d650651c9f637520dc237fb7b3f2b3df

Observation 9cb29b4d-ec74-450d-aaae-a83e60333cab · outbound

This paper cites Diffusion autoen- coders: Toward a meaningful and decodable representation.

MADation: Face Morphing Attack Detection with Foundation Models Diffusion autoen- coders: Toward a meaningful and decodable representation

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:50:33.191802Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T21:50:32.292426Z digest=sha256:8dcc2eee35b390af3d80d466cff409d3d395856db54aec2e0028bc807a4a2888

Observation 1da625b4-7313-41ae-8bbe-248d5c1dd4e6 · outbound

This paper cites Facemorpher, 2019.

MADation: Face Morphing Attack Detection with Foundation Models Facemorpher, 2019

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:50:33.149290Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T21:50:32.297590Z digest=sha256:ad3b7fef9b223a4f74acd57d5695a3a2b3be1c077ca051e7a13a71d56309c024

Observation 5ecb314f-6b4d-4fe5-98f0-8338c84b04a2 · outbound

This paper cites Depth-guided robust face morphing attack detection.

MADation: Face Morphing Attack Detection with Foundation Models Depth-guided robust face morphing attack detection

Reference 44

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verified fuzzy
raw_fallback, observed 2026-08-10T21:50:33.105324Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T21:50:32.303057Z digest=sha256:2846848bd8b9056e6a8ef3de140aed18a3ae3288b951571d6606c3fef1145277

Observation c548732d-ca3b-4bae-88b7-e59f0ad6c5c8 · outbound

This paper cites Learning transferable visual models from natural language supervi- sion.

MADation: Face Morphing Attack Detection with Foundation Models Learning transferable visual models from natural language supervi- sion

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:50:33.069724Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T21:50:32.309800Z digest=sha256:4145d6f45cbd43373400caf8e64eaddecd30e949cae18e5beaf3f275658dd064

Observation cd467e25-a671-4dcd-a94b-b09b2767d5be · outbound

This paper cites Detecting face morphing attacks with collaborative representation of steerable features.

MADation: Face Morphing Attack Detection with Foundation Models Detecting face morphing attacks with collaborative representation of steerable features

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:50:33.027735Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T21:50:32.316220Z digest=sha256:ad630d05c87b25d4d092885b6fe0792fcc3613af30dddb373d73b8210458109f

Observation 261852cc-372e-4a2d-a86b-85fb7c12a6c2 · outbound

This paper cites SAM 2: Segment Anything in Images and Videos.

MADation: Face Morphing Attack Detection with Foundation Models SAM 2: Segment Anything in Images and Videos

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-10T21:50:32.324156Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:50:32.324156Z digest=sha256:333d03c44a4305b8ef241ccef5cd8325fd00cd8d888b016c94d1e4914446a51c

Observation b6d0bff2-418d-4247-8f29-44fc73f2bd5d · outbound

This paper cites Vulnerability Analysis of Face Morphing Attacks from Landmarks and Generative Adversarial Networks.

MADation: Face Morphing Attack Detection with Foundation Models Vulnerability Analysis of Face Morphing Attacks from Landmarks and Generative Adversarial Networks

Reference 48

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unresolved
no resolver link, observed 2026-08-10T21:50:32.330233Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:50:32.330233Z digest=sha256:784ad253e7b6e662787c989dddadb60999bcace923546ba202d3b68f28a73f47

Observation 8feaf376-8bf2-444f-83e5-92eb45154784 · outbound

This paper cites On the vulnerability of face recognition systems to- wards morphed face attacks.

MADation: Face Morphing Attack Detection with Foundation Models On the vulnerability of face recognition systems to- wards morphed face attacks

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:50:32.999572Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T21:50:32.338636Z digest=sha256:6cfb00022733d877953976005b62ca9848ed17cceba27e5e72cd0c00cf5c80c8

Observation f8688b27-db79-46e5-b49c-12645e42871d · outbound

This paper cites Accurate and robust neural networks for face mor- phing attack detection.

MADation: Face Morphing Attack Detection with Foundation Models Accurate and robust neural networks for face mor- phing attack detection

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:50:32.962597Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T21:50:32.343215Z digest=sha256:03a41b21f98c1bf03d16aab76e639f22ee820da3ed1fa84ce76818a21c46d16b

Observation 4f3bde3a-117a-4770-ad38-949c777c8171 · outbound

This paper cites Fixing the train-test resolution discrepancy.Advances in neural information processing systems, 32, 2019.

MADation: Face Morphing Attack Detection with Foundation Models Fixing the train-test resolution discrepancy.Advances in neural information processing systems, 32, 2019

Reference 51

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verified fuzzy
raw_fallback, observed 2026-08-10T21:50:32.941613Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T21:50:32.350128Z digest=sha256:4d82d03f2e74992aa32a2c84295acbf444b5f9677a31a6f1f7a29642aa6e93ae

Observation 16e67529-528f-4836-99f4-01ecf4d3c186 · outbound

This paper cites Raja, Naser Damer, and Christoph Busch.

MADation: Face Morphing Attack Detection with Foundation Models Raja, Naser Damer, and Christoph Busch

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:50:32.917480Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T21:50:32.359710Z digest=sha256:f2ee33a48e159547c57afd3a74034d2393a5a606a3d1d2683fa1fd596ea05185

Observation f414c41e-c52c-40d7-90af-e1f6dbfe890a · outbound

This paper cites SAM Meets Robotic Surgery: An Empirical Study on Generalization, Robustness and Adaptation.

MADation: Face Morphing Attack Detection with Foundation Models SAM Meets Robotic Surgery: An Empirical Study on Generalization, Robustness and Adaptation

Reference 53

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unresolved
no resolver link, observed 2026-08-10T21:50:32.368459Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:50:32.368459Z digest=sha256:2ad797f7bf3dd2044a99cdafb883fd0c6935e02cb7a62fcd561f5b46086cceab

Observation 4b100fd6-edb7-4d90-8274-d7d688240ecf · outbound

This paper cites Learning to Adapt Foundation Model DINOv2 for Capsule Endoscopy Diagnosis.

MADation: Face Morphing Attack Detection with Foundation Models Learning to Adapt Foundation Model DINOv2 for Capsule Endoscopy Diagnosis

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-10T21:50:32.373868Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:50:32.373868Z digest=sha256:a2a571a5d02cbfcc74b95eaa2a49b0204bdd8c7c99a5defe7ea1939c4a066734

Observation f28966fd-bd68-411c-9349-9e944c8fa3be · outbound

This paper cites Generalized single-image-based morph- ing attack detection using deep representations from vision transformer.

MADation: Face Morphing Attack Detection with Foundation Models Generalized single-image-based morph- ing attack detection using deep representations from vision transformer

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:50:32.893156Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T21:50:32.378874Z digest=sha256:85b8b64732220eab4d73400f7b07bd7737373a5d51a1c67015770f86d48ac32d

Observation dbaf04a6-d8ac-4246-8506-282d01d52601 · outbound

This paper cites MIPGAN - generating strong and high quality mor- phing attacks using identity prior driven GAN.

MADation: Face Morphing Attack Detection with Foundation Models MIPGAN - generating strong and high quality mor- phing attacks using identity prior driven GAN

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:50:32.870842Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T21:50:32.383246Z digest=sha256:a229e6976b688f613b6bff3855d6a23e0a9e4ddd6008cbc57a3fa1ae042425b9

Pith citing papers

Observation 288eca7c-0e8c-412e-84ad-de695f470397 · inbound

In-context Learning of Vision Language Models for Detection of Physical and Digital Attacks against Face Recognition Systems cites this paper.

In-context Learning of Vision Language Models for Detection of Physical and Digital Attacks against Face Recognition Systems MADation: Face Morphing Attack Detection with Foundation Models

Reference 3

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unresolved
no resolver link, observed 2026-08-06T15:43:10.708175Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:43:10.708175Z digest=sha256:676d08a3a342a37f7e960f671ee0108fdf3a09705f829ad87edad20ca2c6179c

Observation 6ac67074-0e1a-42cb-b979-508cf9e87c10 · inbound

R-FLoRA: Residual-Statistic-Gated Low-Rank Adaptation for Single-Image Face Morphing Attack Detection cites this paper.

R-FLoRA: Residual-Statistic-Gated Low-Rank Adaptation for Single-Image Face Morphing Attack Detection MADation: Face Morphing Attack Detection with Foundation Models

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-05-10T06:56:47.190828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-10T06:56:28.212908Z digest=sha256:1e19e6c593e4a4ec69ed905427c354ed2a7ea3fb83debca59dd9d10c3b3ead35