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Paper Citation Record · LEDGER

MADation: Face Morphing Attack Detection with Foundation Models

As of 13 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 2026-08-13T06:32:02.005865+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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Source-reported events for the cited work

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=sha256:7e4730eedf2d37fbf03fb130b7a84a7cc65a269cc2a817ade1475db7d2f3504e

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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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T21:50:31.884172Z digest=sha256:735cac7fd29cc4a4b37f08927a40e1e20097fda42e7dcabfc8f6dee4ee976137

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T21:50:31.900901Z digest=sha256:8b4828e242d5d93542bb1839b9e7818d36c64be2481267e2a0b4644ab2db6d46

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T21:50:31.908068Z digest=sha256:354ce5b0a2dccd0fc65002bcd7ec40489750d4ae384b180f6eda792f2f2052ce

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T21:50:31.918850Z digest=sha256:7f0fcb9e359babadc88f9e2bf1d3382f1c49cb59a4c967eff81590ada6d49978

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T21:50:31.959656Z digest=sha256:906cd1ac277f416e9ea3271d8452fc9e07e93abaa28675774a9685b7e9428132

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T21:50:31.994748Z digest=sha256:2aae80157f856b0c666e61ac0b068e545af2615e0685e98e21c7bb7ec4454709

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:50:32.004734Z digest=sha256:2c7398e286a07c4baa1407b77fc3044ae5f1eff4371bd8494d0c8e2416cc9e1e

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=sha256:0e64f933f9c7b4572a3c5d886b5d880496b50631ae0da74c1ac2d99a90f7cb54

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T21:50:32.027012Z digest=sha256:98728fff8356c4a51e506e105a79c6d27ba9fc994992fde482f1010d5db80579

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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raw_fallback, observed 2026-08-10T21:50:34.088217Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T21:50:32.042592Z digest=sha256:f75a271bd85b89596e9c686421594229235b30d409bcfca64c42dfc42d0ce4cb

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T21:50:32.048084Z digest=sha256:9a747abb9930d9a4497313ec3bdbe7e7bd95d13492a8608255be702ec5affd83

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T21:50:32.056686Z digest=sha256:114fcea31a164d79f82b7c873968bd6e60a3be894bdcb7835a7c2bcc33cebfb6

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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raw_fallback, observed 2026-08-10T21:50:33.947154Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T21:50:32.062222Z digest=sha256:9094c1dc978315c958016d34964127da634c7675898d0818e9f6ea332556afe2

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T21:50:32.069548Z digest=sha256:ec13cc14309b2fe7be9f6caf19f50c8941d81cb55691431089fc5bb8d77f821a

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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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T21:50:32.075231Z digest=sha256:4e8e9dbddaeb38fbf27ad059886f8f578c21ad5f9b17ed9aedd7242d22ac7ed7

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T21:50:32.092060Z digest=sha256:2df8f0d0c9b292107f335f99d6153014e5095c22fec3ebd7a147036a5ba5f5ba

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.

source=pdf_text observed=2026-08-10T21:50:32.102840Z digest=sha256:fbeababb8cfc2c4a3b80d3e77d461ad6871071b4614aaa3697cbaea103ab0ccb

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T21:50:32.109469Z digest=sha256:666470be8b9e4711b179024e50a04e56c7464656a2bd0bdfd47e5917eb1bccff

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=sha256:98539442ad23304de8cde58eccac55a3de81f84e65c3b5ce8cf152cd429f8760

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T21:50:32.124735Z digest=sha256:a3aeed9b563d9daab1b6b9c752d2837044a03670ddb21505b72ae7728fddec80

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T21:50:32.131731Z digest=sha256:e676d6a06185f7be98c4a67dd473bb1d739bce970121770c9d2254930c9e8ac0

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T21:50:32.156121Z digest=sha256:90a7fa37cba62c0ac2cf1dc44a064500118b7ce95cc9d3c45ec88ba2f1eb2064

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T21:50:32.162884Z digest=sha256:de25fcba7f44281075a75d3a60e718eb9549e22f2e8056c32a15ace2964ce016

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T21:50:32.167655Z digest=sha256:ca53a49df8a506a9cb1ffbebd6afdb2d0f8f8eb9883aa9fa4789a74010ba01f5

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T21:50:32.175567Z digest=sha256:662fcc0553fe0ccdc52e3725d0b51131b99ca08a85cc34af4f29efe565c09ebf

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T21:50:32.181539Z digest=sha256:0161562cfb4b7ccd57b84ae81cefcd2dac703d15d78418849cb8c09a91853065

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T21:50:32.193490Z digest=sha256:4657607939666e5065e8a3e96dc638b4545ea97506a61f35442e1c144c79fb6c

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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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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T21:50:32.206997Z digest=sha256:e17ded7b64aeedea1f960575fe90831f0fb979af92da30e9dd7a2f6ce66bed7a

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T21:50:32.238460Z digest=sha256:37b284bad52d6641e7d24c20036d9dc3c8649e20b6115cfbcb5b0dc357249f19

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

Resolution
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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T21:50:32.263138Z digest=sha256:deb89e975c5e5a0bdb0a4a02c1ea200e571db8a9cf7a3d656b5f83e7d4625f6d

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T21:50:32.271357Z digest=sha256:0b9b9c80186fbeeec1dcbc8c1d4fa009d75deaf2c9188c3b994ab89c78c95682

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T21:50:32.285790Z digest=sha256:eadbf73d9efee9a32397c1fe60d208949b26bc8f757d250f28503c9a966970af

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T21:50:32.292426Z digest=sha256:b2ff78546bb47e24778592ca85e843b44c5d18c324c14b0d93a99b12094d792a

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T21:50:32.297590Z digest=sha256:c841a20b68c679215b6480b81e5e18bbf01a1be6568945cc5534407f80a3299e

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

Resolution
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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T21:50:32.303057Z digest=sha256:02e0650d9501ecc3a945643c3814b33519700cb16e306229760e32ab1ae03578

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T21:50:32.309800Z digest=sha256:9924ccc27f124933fd42d14b9136b1ddccd2d8dfdb974e7e2c7f6e883a84e699

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T21:50:32.316220Z digest=sha256:8a0df779458ad2b49ceadd0278840117fd897449a9ff4f1f7dec33241c2a9280

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

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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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T21:50:32.338636Z digest=sha256:97a2d1db1c064c6466cf1340d58e3446cea7fa53ac3c616e0073ef7242d257dd

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T21:50:32.343215Z digest=sha256:ae8942b74ccf00328b399dcab5fb97c742ed8dd99bc88d19a8582544fc58c000

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

Resolution
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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T21:50:32.350128Z digest=sha256:e2dfcd2a82d5af5e108d8e008c58f6aee570a60e1cd87161bd53b200f6db5dfc

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T21:50:32.359710Z digest=sha256:02b9f9a4a46ea7304cf6ecac898b00348326f449a3e1f32f919c53f9d018010a

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=sha256:84e9c83e8740214afa74ab0f099fefb416c99501d110237f5e8bd32e10a802ec

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:e9847ab025ae49de6dbcc4c366b14dfa2984c81fd12735d3cf23d76888f80fa1

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T21:50:32.378874Z digest=sha256:da04143292165a2e19f0fdca6b924c326cf4de19e8cdbc790f21e282449d533f

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T21:50:32.383246Z digest=sha256:28f5b8b62c95f714ffb1cc902a8f40e2b88b46fcb12f9e61ae1aecb3f7193a04

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

Resolution
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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-10T06:56:28.212908Z digest=sha256:5fd9aa3e0bb00b73bc205753c7b51ded6fbf83d0d3ceca3eebc3d4e6438fa98d