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Paper Citation Record · LEDGER

MADation: Face Morphing Attack Detection with Foundation Models

As of 14 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 2026-08-14T06:32:32.682623+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:b86b1e16b80c15cdef2d035a87aa80e76176a631287137f3f867764aa217efd3

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 2026-08-14T06:32:32.682623+00:00.

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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:ea48cd7b1b018fee313d522e4bd80f82d607116a9844fc0a568e3067fdcdb576

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T21:50:31.900901Z digest=sha256:b615c73eb3cfd7a97ca1617660e3143ca55a1d187f37fa84df0cb020a9764e42

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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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T21:50:31.918850Z digest=sha256:4746c485e555ae187eec8f4ddca62dab9ae44536fb05696ada33af13f2d99220

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T21:50:31.959656Z digest=sha256:e2945af937c3731d5cdda8452edd727bc559407b1cfb81510be35d704b8ae36b

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T21:50:31.994748Z digest=sha256:4042d9413b142a3e2bd1d926877dac30a49c87225af0358681efd823263739e9

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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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:fea679c7204dfb7dabd6ca6eacc3deb0ec173490eb912d2f50d0925add209cb5

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T21:50:32.042592Z digest=sha256:58b9a1d3b6f45a190842f00290f9d8f7dd1d592b1ccd93239c963364fbe7e738

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T21:50:32.048084Z digest=sha256:d627cfd84ec08e388dde1080022117b1a4c269b5852d740488c851d685f8edfa

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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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T21:50:32.056686Z digest=sha256:5d7b48455d0fc6b1559b4b6663fc7c9922856d4c2a88e7c1830e54be2b4a69f4

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T21:50:32.062222Z digest=sha256:12f99d76f9809a814b26c5f484e4971e73ea2ac4c9dd20f862719ae40d72007d

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T21:50:32.069548Z digest=sha256:705b82c5dcba33fb825a632252293280c9fc184544b93dc219f33e550a8108f6

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T21:50:32.075231Z digest=sha256:c597de2e79605ba27afa223ad84d79e125b91d863faf363736d6ec34f95274ff

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T21:50:32.092060Z digest=sha256:2cf66739d37c8a62870846cf211c02a1e348d8bae86e8ff347092e0d59aeb0c1

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T21:50:32.109469Z digest=sha256:8487f2f375570ff295e71602906634192749e60451fddffa3bf73de65d06e4cd

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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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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T21:50:32.124735Z digest=sha256:33e46ca30b339fe35dffde1fbd4997d6eea030d14a84982c074b264a6f80191d

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T21:50:32.131731Z digest=sha256:ba6613a865f77e57688eec93186dfa23ed9929cb811eacc10f6fee111a181fca

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:50:32.141244Z digest=sha256:60ad42f81c5cdf26903a0b8df95ee4059aaa1188c6eb2ea82fbc49cd57398c73

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T21:50:32.156121Z digest=sha256:cba84188a0f1729ee879f55c423ca37cd15a4d123060804bf2b76c813137b321

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T21:50:32.162884Z digest=sha256:7f9908c752c1e8859d906c5686fae5da8161b24159755ab3e744939651aec108

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T21:50:32.167655Z digest=sha256:c4f52d5d7dea3f25870edf8f234f6d2c2b85e9fb8fca47c20f77b547e6d4486d

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T21:50:32.175567Z digest=sha256:30632ad9131565ca2669976dd03c3c58bcbbbf12a2218feea33b0b2f72550794

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T21:50:32.181539Z digest=sha256:39f0f97c5715b6aabccf15c34416cc68e71b74b1c13d370c4ac8834e9bcf3323

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T21:50:32.193490Z digest=sha256:0c4eea4ece97b5131d363f764148e99efbeb4b34b61829ffaea5a57f1a3b7f09

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:e8b70530290d35b3083dc3b8e209bd4b402d1c036a1b85070098cf4a05311959

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T21:50:32.206997Z digest=sha256:6843918e933d256c10924542adaf9ac6b728fc1206f4acb0c87ea7b50ac92a3f

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=sha256:218529b5a8fe8e175883dd77c83aa5586ff58e5ba6ca1e577c64e9fa25c10bfe

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=sha256:61bb71eb7667d23b656d7a99643adecad49540caa9f9f9c91c7cc412ad8ceb72

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T21:50:32.238460Z digest=sha256:928b71d9b2e4c57b85009acc603259109f719002ea1a6ea326725adf5788dd8e

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=sha256:374bfefc4ef106b953a22dada3f7c5ffc7152d7966011648faee2ee80193ac6c

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T21:50:32.263138Z digest=sha256:d2145a0a2ecc0b31250f99831cfac825198346900dd5332fe0051c6a539c174e

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T21:50:32.271357Z digest=sha256:2bf5bbef08d359dce07c796d4aee8e35adcabd88d9c995481704e108e3e9e812

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

Resolution
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=sha256:479cc1bf309812dda5139824e5f11fd2e4ac7c14b18ca5d3f5a304d00af1c384

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T21:50:32.285790Z digest=sha256:a6d260fb4dbeb99191165dba32b31b1067dd7d2896554cc09f79b6f6c451a559

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T21:50:32.292426Z digest=sha256:9a0e0e530a8449427776b4d3a7aac79306b6e25b1f889a7457ce927b51c6ea94

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T21:50:32.297590Z digest=sha256:c0f7bc8dc02d89918429066a53fa53b63de1bee7ce9fa0f0b568e59604b5cd6b

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T21:50:32.303057Z digest=sha256:7a0acf72c170eb8c8bd1346a97963d59119af2c9627655a6bd6557e59dbdacaf

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T21:50:32.309800Z digest=sha256:b6fb3cd59ee538caccac872b86c7260cd3e3b51074636e787f9af4216141b73d

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T21:50:32.316220Z digest=sha256:c933b2d5c98d457afdf51474b1efd346045f75a7deee227ea4256315d54a0f49

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:b827019882308912fe2620a1e05ab2ab8f30ca95b91815204d200ed1919c84fb

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

Resolution
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:aceaec33b4d41606b69d661503eecff0076204b2b0945c1356a271ea28847430

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T21:50:32.338636Z digest=sha256:76c4d64827f403c26ea2d11b9007314489db783090604eccf8f4ee72fad97bc4

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T21:50:32.343215Z digest=sha256:89620feb3a28703fe06e7af45e4ca047048a0a9657f4d6462be9d11f1ddf0089

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T21:50:32.350128Z digest=sha256:a285c1d62fa3383bbb509aca8640b855b39433520eafefdec9a8bb20fd5f48ec

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T21:50:32.359710Z digest=sha256:aed47cf68f83b4a86a25aa1ccd6dc4694348043e391da52d5c87011a8740d561

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=sha256:5d40abfd8268309b0627cfccc233c7c5c6c75e3dc5a5ced32767d7f28c0ea4cf

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:dd110307b48b27bc3e1d8f2456485c3e2957d2715eb6b356f10f1932961ca3af

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T21:50:32.378874Z digest=sha256:431081b6bdf52404d67f1fbaea8dd5af12299c6fae5c1da9840379098c4de11a

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T21:50:32.383246Z digest=sha256:dada04e7b42e0a21be68a4b4a521b2dfe827b15f48dd7a92754bcdcf6691a373

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=sha256:0f0ea0f0373972910723cc00ec5d6cfd0fd2ab8744a1ecb344d050a1ee3ec1bd

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T06:56:28.212908Z digest=sha256:2ba95995531a7d12b0988179992068271d9d4ff8c1a78a41a3f429d175785c08