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Paper Citation Record · LEDGER

FoundPAD: Foundation Models Reloaded for Face Presentation Attack Detection

As of 11 August 2026, this Paper Citation Record lists 65 of 65 outbound references and 4 inbound Pith citation observations for arXiv:2501.02892.

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

pith.paper-citation-record.v1
2501.02892 v1

Coverage vector

measured 65 of 65 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T22:05:27.097655Z

measured 69 of 69 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T22:22:36.893017Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-10T06:56:47.191988Z

Reference resolution

65 of 65 outbound references displayed

  • verified exact0
  • verified fuzzy43
  • unresolved22
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d9805ca1-f0f9-4a8f-bc4d-15e2b49129bc · outbound

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

FoundPAD: Foundation Models Reloaded for Face Presentation Attack Detection Intrinsic Dimensionality Explains the Effectiveness of Language Model Fine-Tuning

Reference 1

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Observation 066983f4-2f04-4b9b-826c-17e51374d7f9 · outbound

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

FoundPAD: Foundation Models Reloaded for Face Presentation Attack Detection An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 2

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source=pdf_text observed=2026-08-10T22:05:26.681232Z digest=sha256:f2cbaa535d48235c75171f970f2569b733dab2deb1ced5d469676440eb74e289

Observation 3aeaa3d8-09af-4f3d-bbba-446a585af03c · outbound

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

FoundPAD: Foundation Models Reloaded for Face Presentation Attack Detection On the Opportunities and Risks of Foundation Models

Reference 3

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source=pdf_text observed=2026-08-10T22:05:26.687300Z digest=sha256:cbccac2b0f4126d78cdc8112ed952fddebda7d730ed9547bf203a958786265d6

Observation bab9ac3f-d2ee-43ca-a456-95b1cd97ce19 · outbound

This paper cites OULU-NPU: A mobile face presentation attack database with real-world variations.

FoundPAD: Foundation Models Reloaded for Face Presentation Attack Detection OULU-NPU: A mobile face presentation attack database with real-world variations

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T22:05:26.695712Z digest=sha256:e5e50b7dca9e45b2aabfe75b8eab61472a43843bf86edfb6e3815d44b6ba8660

Observation 429bff55-8cf7-4191-8fa7-0a8134aa743c · outbound

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

FoundPAD: Foundation Models Reloaded for Face Presentation Attack Detection Elasticface: Elastic margin loss for deep face recognition

Reference 5

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T22:05:26.704527Z digest=sha256:6a4048773706144637eecdf609255c605fcbb3ff7e5d0946a80951476be2c7f1

Observation 5316276c-b5fe-4538-a37e-a9ac5bc6752f · outbound

This paper cites Cr-fiqa: Face image quality assessment by learning sample relative classifiability, 2023.

FoundPAD: Foundation Models Reloaded for Face Presentation Attack Detection Cr-fiqa: Face image quality assessment by learning sample relative classifiability, 2023

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T22:05:26.709018Z digest=sha256:f3faa6e49e9110d4858c0d0da2bbe20d731dcedeba7ab283aded81929fb2e21f

Observation 0c032e15-475f-43e5-b7b2-a6c1dc59b67a · outbound

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

FoundPAD: Foundation Models Reloaded for Face Presentation Attack Detection Adapting vision foundation models for plant pheno- typing

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T22:05:26.717614Z digest=sha256:1b2d3cc61a7abd67ed0b5dc17ede1f191039ffe0d0e04f759b357c4ed6e3bf78

Observation 35535fe8-67e2-4567-9aad-e74969fd8d53 · outbound

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

FoundPAD: Foundation Models Reloaded for Face Presentation Attack Detection Adaptformer: Adapting vision transformers for scalable visual recogni- tion

Reference 8

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source=pdf_text observed=2026-08-10T22:05:26.727324Z digest=sha256:73678540ef434ea49c4145ce70f47868b4b89fa55ae3ffd44461406954867137

Observation 228333d4-5b59-43e3-82a3-c26d06d16705 · outbound

This paper cites Vision Transformer Adapter for Dense Predictions.

FoundPAD: Foundation Models Reloaded for Face Presentation Attack Detection Vision Transformer Adapter for Dense Predictions

Reference 9

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source=pdf_text observed=2026-08-10T22:05:26.731722Z digest=sha256:5b07263953ee6186bea9d435bbfae537b3b83b6ab46f0e194da5d6a16e2882b4

Observation 84a3f34f-7723-4e53-9786-348ccd375ead · outbound

This paper cites General- izable representation learning for mixture domain face ant i- spoofing.

FoundPAD: Foundation Models Reloaded for Face Presentation Attack Detection General- izable representation learning for mixture domain face ant i- spoofing

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T22:05:26.737296Z digest=sha256:b0894f02ce1b0b6e83951540276f57a7aa1e8725b2c16cdd91f31ba06c009839

Observation f57e15e8-63c7-4cef-a2dd-5135d991cded · outbound

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

FoundPAD: Foundation Models Reloaded for Face Presentation Attack Detection FRoundation: Are Foundation Models Ready for Face Recognition?

Reference 11

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source=pdf_text observed=2026-08-10T22:05:26.744869Z digest=sha256:561f56dd308f8200575bea4ccb4172326562b2119b6e5adde7b4ee8675f6b315

Observation 4ef3968c-1f24-430a-9cf4-732243247b84 · outbound

This paper cites On the effectiveness of local binary patterns in face anti- spoofing.

FoundPAD: Foundation Models Reloaded for Face Presentation Attack Detection On the effectiveness of local binary patterns in face anti- spoofing

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T22:05:26.750021Z digest=sha256:0fe7ebb09b1a8ca7f59748a9e5c5009d69c7ad54c46edaea77d0f9b1e02a918c

Observation 13ef82e1-74ca-4b0d-a0f9-2fe05e80eaea · outbound

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

FoundPAD: Foundation Models Reloaded for Face Presentation Attack Detection Arcface: Additive angular margin loss for deep face recognition

Reference 13

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:05:26.760874Z digest=sha256:7f5cbd59c06c289b01dbb143b5bcecae5d348c93d56cd23c3dca5de4fa13185a

Observation 452df1b8-7140-4e93-a79e-dec76500fd1d · outbound

This paper cites An image is worth 16x16 words: Transformers for image recognition at scale, 2021.

FoundPAD: Foundation Models Reloaded for Face Presentation Attack Detection An image is worth 16x16 words: Transformers for image recognition at scale, 2021

Reference 14

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T22:05:26.767733Z digest=sha256:9ab802ed64ae3f08d276822476c04c9cd608263440a4040fb5d0ec2257d2c8f4

Observation 2acd3712-7787-4c73-a05d-959d934d75d8 · outbound

This paper cites Face presentation attack de- tection by excavating causal clues and adapting embedding statistics.

FoundPAD: Foundation Models Reloaded for Face Presentation Attack Detection Face presentation attack de- tection by excavating causal clues and adapting embedding statistics

Reference 15

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raw_fallback, observed 2026-08-10T22:05:28.251307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T22:05:26.772329Z digest=sha256:fea5ad7e70dfa3840eb32bbe590c7e06f6e94c3176a713f8002e4a8880e2ba8c

Observation 7ff1e3f1-6226-4fdd-981f-2fe6a179581f · outbound

This paper cites Learnable multi-level frequency decomposi- tion and hierarchical attention mechanism for generalized face presentation attack detection.

FoundPAD: Foundation Models Reloaded for Face Presentation Attack Detection Learnable multi-level frequency decomposi- tion and hierarchical attention mechanism for generalized face presentation attack detection

Reference 16

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 98d5e953-7493-4202-aceb-6e91954ee75c · outbound

This paper cites Real masks and spoof faces: On the masked face presentation attack detection.

FoundPAD: Foundation Models Reloaded for Face Presentation Attack Detection Real masks and spoof faces: On the masked face presentation attack detection

Reference 17

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source=pdf_text observed=2026-08-10T22:05:26.781165Z digest=sha256:db3a7898319aa23aa654743399866cdab01c47b9743b11b63aca1f1edf83cc00

Observation 63585ff5-7bed-4093-b13d-c66d6f6114a7 · outbound

This paper cites Syn- thaspoof: Developing face presentation attack detection based on privacy-friendly synthetic data.

FoundPAD: Foundation Models Reloaded for Face Presentation Attack Detection Syn- thaspoof: Developing face presentation attack detection based on privacy-friendly synthetic data

Reference 18

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source=pdf_text observed=2026-08-10T22:05:26.787201Z digest=sha256:50550e1a85327930fcd992d368b56552b34e26719972377fbbf3e97c58a31060

Observation e6f8cf87-f388-4988-97bd-66a060a4439c · outbound

This paper cites Tapia, L´ azaro J.

FoundPAD: Foundation Models Reloaded for Face Presentation Attack Detection Tapia, L´ azaro J

Reference 19

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 84fd9867-df68-4d65-b802-744138ecc66c · outbound

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

FoundPAD: Foundation Models Reloaded for Face Presentation Attack Detection Iris-SAM: Iris Segmentation Using a Foundation Model

Reference 20

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source=pdf_text observed=2026-08-10T22:05:26.800176Z digest=sha256:777159bc53c7187f2ada1d3a9dc1b0c0788c1245dec1115d94f1c65eca9e957a

Observation 0a2a51fb-45b0-4699-9cf7-f4b855b28b17 · outbound

This paper cites Lempitsky.

FoundPAD: Foundation Models Reloaded for Face Presentation Attack Detection Lempitsky

Reference 21

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T22:05:26.806940Z digest=sha256:e034253571d16d2821e4231fc057ee6b3889a2d8b5941ef5a1644b6eb208b85b

Observation 7952acb2-79e1-4e47-af11-44a2f43570cb · outbound

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

FoundPAD: Foundation Models Reloaded for Face Presentation Attack Detection LoRA: Low-Rank Adaptation of Large Language Models

Reference 22

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source=pdf_text observed=2026-08-10T22:05:26.815537Z digest=sha256:eee10b72cc22ae8d5f79f25abe3a4808709afe927cbe030fb88fb716ad7ce36b

Observation 07d9daf2-8e24-47cd-90db-e110d1bd2737 · outbound

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

FoundPAD: Foundation Models Reloaded for Face Presentation Attack Detection Adaptive transformers for robust few-shot cross-domain face anti-spoofing

Reference 23

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation e72268fe-cf4c-422f-a094-e02b99debea3 · outbound

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

FoundPAD: Foundation Models Reloaded for Face Presentation Attack Detection Adaptive transformers for robust few-shot cross-domain face anti-spoofing

Reference 24

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Observation f06964e1-fc54-4846-b724-a3328a3abfa3 · outbound

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

FoundPAD: Foundation Models Reloaded for Face Presentation Attack Detection ISO /IEC DIS 30107-3:2016: Information Technology – Biometric presen- tation attack detection – P

Reference 25

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T22:05:26.835857Z digest=sha256:c472a14bcd4f555aa9672676e0106b9d594a2181d79448267454941a171179dd

Observation b88f4f40-bd42-4b73-aac6-f740b00be390 · outbound

This paper cites ISO /IEC 2382-37:2022: Information technology — V ocabulary — Part 37: Biometrics, 2022.

FoundPAD: Foundation Models Reloaded for Face Presentation Attack Detection ISO /IEC 2382-37:2022: Information technology — V ocabulary — Part 37: Biometrics, 2022

Reference 26

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T22:05:26.840374Z digest=sha256:ffab867e4901de97163d10ac9c0468251dc11cccee1857639ed72a2c50449631

Observation bffbda8d-f959-4121-8088-c46f17fd5967 · outbound

This paper cites Single-side domain generalization for face anti-spoofing.

FoundPAD: Foundation Models Reloaded for Face Presentation Attack Detection Single-side domain generalization for face anti-spoofing

Reference 27

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T22:05:26.846531Z digest=sha256:18cf808bcf742ad21cead8154f638d557b678eaa456226c4b92b96714972cf11

Observation 2c19ebcd-f4c4-4d5b-a960-da4eabc8daae · outbound

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

FoundPAD: Foundation Models Reloaded for Face Presentation Attack Detection A Rank Stabilization Scaling Factor for Fine-Tuning with LoRA

Reference 28

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:05:26.852077Z digest=sha256:23db1a74334271915082378033cd7d5132cf22893070850e54685e95035274e4

Observation 12d3a795-829f-4edf-b080-53f14fefa397 · outbound

This paper cites Training generative adver- sarial networks with limited data, 2020.

FoundPAD: Foundation Models Reloaded for Face Presentation Attack Detection Training generative adver- sarial networks with limited data, 2020

Reference 29

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T22:05:26.859789Z digest=sha256:81e758b3fd24dea5b8604cf1521db4230bd7fdbf93c1ce9a6f4fbc30e58bc1c6

Observation 2bd9e62f-29f3-467b-ba25-9616a7527964 · outbound

This paper cites Segment any- thing.

FoundPAD: Foundation Models Reloaded for Face Presentation Attack Detection Segment any- thing

Reference 30

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T22:05:26.866282Z digest=sha256:bd8bea7c4f315a5336fa80accc7bd609b2dbf07278b4783b4124dfd05b2fec9a

Observation 32fccb0c-5e60-45b4-b4d3-448ca71c7849 · outbound

This paper cites an unresolved cited work.

FoundPAD: Foundation Models Reloaded for Face Presentation Attack Detection Unresolved cited work

Reference 31

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T22:05:26.871990Z digest=sha256:a0c70baf4c7579cb4bf6675dde3d7a95b66d25b218db2f51141e13c964b6c658

Observation 911c068e-c28a-4953-a1b6-d01ce4efa24d · outbound

This paper cites an unresolved cited work.

FoundPAD: Foundation Models Reloaded for Face Presentation Attack Detection Unresolved cited work

Reference 32

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T22:05:26.876418Z digest=sha256:c2a8e047ce6c02b07c9fc3ae5f02a3d5ad9cbff3e15b0cd831e7c1df97d9117c

Observation 779290d2-d178-4170-8a82-0f7f7d5e3fe3 · outbound

This paper cites Causal intervention for general- izable face anti-spoofing.

FoundPAD: Foundation Models Reloaded for Face Presentation Attack Detection Causal intervention for general- izable face anti-spoofing

Reference 33

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T22:05:26.881051Z digest=sha256:3ce5b0e4956691f115e2d8da0c307793ba253b4f5d3b72ea6082983b07061db5

Observation a6c1cdb3-981a-4a5e-a675-0a45b0649034 · outbound

This paper cites Learning deep models for face anti-spoofing: Binary or auxiliary su- pervision.

FoundPAD: Foundation Models Reloaded for Face Presentation Attack Detection Learning deep models for face anti-spoofing: Binary or auxiliary su- pervision

Reference 34

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T22:05:26.886446Z digest=sha256:a79985fda16447887ba1fced3c9aadacc0000128b002a8fc23c8a187a4fdd32e

Observation c3fd2d69-e3b7-4d5d-a892-58dffae56a08 · outbound

This paper cites Decoupled weight de- cay regularization.

FoundPAD: Foundation Models Reloaded for Face Presentation Attack Detection Decoupled weight de- cay regularization

Reference 35

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unresolved
no resolver link, observed 2026-08-10T22:05:26.893066Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:05:26.893066Z digest=sha256:bfd4eb28153713e0c8495a0ec77dddf81ca789a54e8c667b6cc7bf24adff6c27

Observation 17833922-7277-4a0f-b2e7-b313facffb88 · outbound

This paper cites Face spoofing detection from single images using micro-texture analysis.

FoundPAD: Foundation Models Reloaded for Face Presentation Attack Detection Face spoofing detection from single images using micro-texture analysis

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:05:27.915563Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T22:05:26.902549Z digest=sha256:2d4b2a8b8d1116c4b10ecb39d5a1f2231700c51eb70dcb03043c4923b7a2ec3f

Observation 2b8b29e0-796a-4fbf-b127-054ecb666242 · outbound

This paper cites A sur - vey on synthetic biometrics: Fingerprint, face, iris and va s- cular patterns.

FoundPAD: Foundation Models Reloaded for Face Presentation Attack Detection A sur - vey on synthetic biometrics: Fingerprint, face, iris and va s- cular patterns

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:05:27.896398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T22:05:26.915251Z digest=sha256:d1815543b77edc6d2fc8d138164e17bba3b851f19fb8a06ea5ffc1355aaabe8b

Observation 357a6dba-13bf-40b2-93de-29f3ebb95a2f · outbound

This paper cites Vitranspad: Video transformer using convolution and self- attention for face presentation attack detection.

FoundPAD: Foundation Models Reloaded for Face Presentation Attack Detection Vitranspad: Video transformer using convolution and self- attention for face presentation attack detection

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:05:27.878713Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T22:05:26.922005Z digest=sha256:7e70e62b68cb1cd59a62a5a42f5b8df6c5e9d9746be4b0b143ba99a796e12fb2

Observation 1476a565-2033-424c-ae46-8ad164152836 · outbound

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

FoundPAD: Foundation Models Reloaded for Face Presentation Attack Detection DINOv2: Learning Robust Visual Features without Supervision

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-10T22:05:26.931787Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:05:26.931787Z digest=sha256:1936d7e749f76332f9e012c5d92d7d96c082e1459e0bcb9c834d49e406a501dd

Observation bf85f53c-f970-4b25-97be-b6393fecd388 · outbound

This paper cites Unsupervised compound domain adaptation for face anti-spoofing.

FoundPAD: Foundation Models Reloaded for Face Presentation Attack Detection Unsupervised compound domain adaptation for face anti-spoofing

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:05:27.856130Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T22:05:26.937190Z digest=sha256:8e9ecb13ebdd6367cb12d3458794acc7dbc4fe8e69cd1e19291dc3c3f4633a6a

Observation ac5fe79a-f113-4a2c-95ad-0be1c20dc1f5 · outbound

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

FoundPAD: Foundation Models Reloaded for Face Presentation Attack Detection Arc2face: A foundation model for id-consistent human faces

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:05:27.836163Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T22:05:26.946036Z digest=sha256:bc30a82bee010fe4d91856d82aa5f5dcb904f935bf2933c3c04368558e466cc7

Observation dd8ffa34-17ee-4344-aae4-d74fff6ab6fc · outbound

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

FoundPAD: Foundation Models Reloaded for Face Presentation Attack Detection Learning transferable visual models from natural language supervi- sion

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:05:27.815618Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T22:05:26.950592Z digest=sha256:bc3658ccdb9acf5f9fa45dbcd2c5e07a36e9b01240adf9a95dd053417fdbe439

Observation 19711caf-0ce2-4e38-8360-c39dfa23e99a · outbound

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

FoundPAD: Foundation Models Reloaded for Face Presentation Attack Detection SAM 2: Segment Anything in Images and Videos

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-10T22:05:26.956137Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:05:26.956137Z digest=sha256:ac18b95fc3535c84fe70424c7c87c6d369bf02f03a40935e1d846d2b372255f7

Observation 6a9f9036-624b-433b-806e-3e5e1ee90e95 · outbound

This paper cites Domain agnostic feature learning for image and video based face anti-spoofing.

FoundPAD: Foundation Models Reloaded for Face Presentation Attack Detection Domain agnostic feature learning for image and video based face anti-spoofing

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:05:27.797495Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T22:05:26.962677Z digest=sha256:666f298941237778a877a9799c032b17353194d7969c84d9c6f9f4058a636168

Observation 3bec64b1-87f5-4bc3-9f82-9a25140fb15a · outbound

This paper cites an unresolved cited work.

FoundPAD: Foundation Models Reloaded for Face Presentation Attack Detection Unresolved cited work

Reference 45

Resolution
unresolved
raw_fallback, observed 2026-08-10T22:05:27.779614Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T22:05:26.967500Z digest=sha256:c8f3f10bc8063d1492f036385f46a9dfaf90ae9a55a99f7d6a21348c76a89822

Observation 318a5b2a-a717-4eaa-a6a9-61c9c3a08a9c · outbound

This paper cites an unresolved cited work.

FoundPAD: Foundation Models Reloaded for Face Presentation Attack Detection Unresolved cited work

Reference 46

Resolution
unresolved
raw_fallback, observed 2026-08-10T22:05:27.753667Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T22:05:26.973508Z digest=sha256:66e5391adcdde782e4dec48096c21466ea2c211c12a2e13c1af2350c2d214764

Observation 2b33d6bb-059a-4346-a104-f6b9d2cd2c68 · outbound

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

FoundPAD: Foundation Models Reloaded for Face Presentation Attack Detection Fixing the train-test resolution discrepancy.Advances in neural information processing systems , 32, 2019

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:05:27.733535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T22:05:26.980519Z digest=sha256:5e1043e0131f6778b13dbb799e57056fc90fa1530c39bbc5e7592784e49662ab

Observation 88f0b729-a1c5-42f0-bfe7-833b2c2716a8 · outbound

This paper cites Adversarial discriminative domain adaptation.

FoundPAD: Foundation Models Reloaded for Face Presentation Attack Detection Adversarial discriminative domain adaptation

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:05:27.712781Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T22:05:26.987965Z digest=sha256:b129b8e45aae141df4e571a58911f76d7e4d012c9100b2106bd14c1338a29bf1

Observation ce33ddd3-c78a-406b-83b9-da5de7b5e8d0 · outbound

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

FoundPAD: Foundation Models Reloaded for Face Presentation Attack Detection SAM Meets Robotic Surgery: An Empirical Study on Generalization, Robustness and Adaptation

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-10T22:05:26.992637Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:05:26.992637Z digest=sha256:0f2fa7caebd23ce648cc87354eb80da0b85c6dab0a1236aa2d27435b92306cb6

Observation bb78a3c5-f9a5-4d37-9829-fe177777ce8c · outbound

This paper cites Patchnet: A simple face anti-spoofing framework via fine-grained patch recognition.

FoundPAD: Foundation Models Reloaded for Face Presentation Attack Detection Patchnet: A simple face anti-spoofing framework via fine-grained patch recognition

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:05:27.694812Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T22:05:26.998154Z digest=sha256:201ae9a382e2182190a5ddf66662cfc31d061d99f71c0dcea159e898649d35df

Observation c3ea788a-e0e4-4743-9fa0-da874c9a4781 · outbound

This paper cites Improving cross-database face presentation attack detect ion via adversarial domain adaptation.

FoundPAD: Foundation Models Reloaded for Face Presentation Attack Detection Improving cross-database face presentation attack detect ion via adversarial domain adaptation

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:05:27.665935Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T22:05:27.004981Z digest=sha256:ac5ff3e20d0d8fba1a24cf763891953c22e8f56747d6b85f503b7cb19202e912

Observation 84805487-66b3-407c-9bdf-6c489c058c96 · outbound

This paper cites Cross-domain face presentation attack detection via multi - domain disentangled representation learning.

FoundPAD: Foundation Models Reloaded for Face Presentation Attack Detection Cross-domain face presentation attack detection via multi - domain disentangled representation learning

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:05:27.642543Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T22:05:27.009972Z digest=sha256:6c79af5cae2f3d4cf80edbffca71cc152efd0e0707f5f6db9b5cd7700313687f

Observation 8274e5e2-e321-4440-a988-683c56f6dba0 · outbound

This paper cites Unsupervised adversarial domain adaptation for cross- domain face presentation attack detection.

FoundPAD: Foundation Models Reloaded for Face Presentation Attack Detection Unsupervised adversarial domain adaptation for cross- domain face presentation attack detection

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:05:27.625039Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T22:05:27.015054Z digest=sha256:2fba611898b2a975f1c82ab675dc281f37549f88271f4ec9e1fe780397b58820

Observation 17b37df6-cf6e-4224-9f68-1a0ae3f3f5e2 · outbound

This paper cites Face anti-spoofing using transformers with relation-aware mechanism.

FoundPAD: Foundation Models Reloaded for Face Presentation Attack Detection Face anti-spoofing using transformers with relation-aware mechanism

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:05:27.605547Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T22:05:27.019320Z digest=sha256:70c2cf8b400802e915b61af1f35fbf73ae96e354feb9c00fa3fa24f993f22c1b

Observation 5d531d22-3c6d-41e2-96f7-60fdc84f9149 · outbound

This paper cites an unresolved cited work.

FoundPAD: Foundation Models Reloaded for Face Presentation Attack Detection Unresolved cited work

Reference 55

Resolution
unresolved
raw_fallback, observed 2026-08-10T22:05:27.583097Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T22:05:27.026562Z digest=sha256:4c0b175f0baa39444ef5387cb033af3630c0b04367861a1599bf6789bc433b19

Observation d088e3bc-6319-4812-8a29-8b2e58db9c7f · outbound

This paper cites Exploiting low- rank structure from latent domains for domain generaliza- tion.

FoundPAD: Foundation Models Reloaded for Face Presentation Attack Detection Exploiting low- rank structure from latent domains for domain generaliza- tion

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:05:27.564456Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T22:05:27.034926Z digest=sha256:20ae0c3fcbbcbbb840f6dae19b8dd7066aaaed5e06c5b5271db761f534d42e9f

Observation 8ebb052a-9fd9-461a-bbfa-1200c3cd43e1 · outbound

This paper cites Domain adver- sarial disentanglement network with cross-domain synthes is for generalized face anti-spoofing.

FoundPAD: Foundation Models Reloaded for Face Presentation Attack Detection Domain adver- sarial disentanglement network with cross-domain synthes is for generalized face anti-spoofing

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:05:27.544838Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T22:05:27.040567Z digest=sha256:f1d451cf2eb90e0f314dc7c4bf9a9178798c25fb7d08722d64e91383b8b12f4b

Observation be675a91-db8a-4a29-8a1e-688e38eaabf3 · outbound

This paper cites Learn Convolutional Neural Network for Face Anti-Spoofing.

FoundPAD: Foundation Models Reloaded for Face Presentation Attack Detection Learn Convolutional Neural Network for Face Anti-Spoofing

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-10T22:05:27.045256Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:05:27.045256Z digest=sha256:60e99abd76f3432bd1987147b35d6e2d3812f179fe6af43a50f4f98e7c7bcaae

Observation 68ab628e-5982-4b3d-9f9d-61393c9db554 · outbound

This paper cites Revisiting pixel-wise supervision for face anti-spoofing.

FoundPAD: Foundation Models Reloaded for Face Presentation Attack Detection Revisiting pixel-wise supervision for face anti-spoofing

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:05:27.522315Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T22:05:27.050994Z digest=sha256:1ab98a791d2da41696ecc019600bd6e8e764ef699ed1cf24f1a6c1a422f5f710

Observation 57039fc9-5f7e-4956-b925-cda623620a6b · outbound

This paper cites Li, and Guoying Zhao.

FoundPAD: Foundation Models Reloaded for Face Presentation Attack Detection Li, and Guoying Zhao

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:05:27.502610Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T22:05:27.056275Z digest=sha256:667c3ffb4183df82f67c2cbf18a7c7436d751d09da8dfdba7b9c00ad9fc917ba

Observation 3ecda140-5b5b-40b8-8e4b-5e08466f1edc · outbound

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

FoundPAD: Foundation Models Reloaded for Face Presentation Attack Detection Learning to Adapt Foundation Model DINOv2 for Capsule Endoscopy Diagnosis

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-10T22:05:27.061434Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:05:27.061434Z digest=sha256:cfab00ec8aa525ee062b6b89ed7b2a65dfa148bc186ff0c4bffc529cde593244

Observation aedc3e68-0a66-4abb-98b8-c3c2f2859019 · outbound

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

FoundPAD: Foundation Models Reloaded for Face Presentation Attack Detection Generalized single-image-based morph- ing attack detection using deep representations from visio n transformer

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:05:27.482514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T22:05:27.066914Z digest=sha256:ba96ee2e24a962d76b3cfc8da5aa496a6781c32a1810abe5dbb6a56f7e9b78cd

Observation adaa351d-c5ff-4a8d-b5e2-7cb4b9d409b3 · outbound

This paper cites Joint face detection and alignment using multitask cascade d convolutional networks.

FoundPAD: Foundation Models Reloaded for Face Presentation Attack Detection Joint face detection and alignment using multitask cascade d convolutional networks

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:05:27.466118Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T22:05:27.077388Z digest=sha256:8173a5d53cddb4a36ed1ec8f4fb8eff5c571dde5f1de8adbc80eb6360f5067d8

Observation d887c307-5a7b-4d2b-b867-135337124871 · outbound

This paper cites Celeba-spoof: Large-scale face anti-spoofing dataset with rich annotations.

FoundPAD: Foundation Models Reloaded for Face Presentation Attack Detection Celeba-spoof: Large-scale face anti-spoofing dataset with rich annotations

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:05:27.448299Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T22:05:27.091932Z digest=sha256:009d2a5064d099cdf21eab02b3d921ee402505efe5523e3589104ebea082ed8a

Observation 040bc408-91aa-4260-9187-6e685e8ecbd7 · outbound

This paper cites an unresolved cited work.

FoundPAD: Foundation Models Reloaded for Face Presentation Attack Detection Unresolved cited work

Reference 65

Resolution
unresolved
raw_fallback, observed 2026-08-10T22:05:27.429045Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T22:05:27.097655Z digest=sha256:f19919eecda9c604c51bbae912ad7556a340d10e438bb6b1c5816e4edb14227d

Pith citing papers

Observation 243913b9-0ffe-4f05-a5cd-65ae76555649 · inbound

Exploring Task-Solving Paradigm for Generalized Cross-Domain Face Anti-Spoofing via Reinforcement Fine-Tuning cites this paper.

Exploring Task-Solving Paradigm for Generalized Cross-Domain Face Anti-Spoofing via Reinforcement Fine-Tuning FoundPAD: Foundation Models Reloaded for Face Presentation Attack Detection

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-06T22:22:36.893017Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:22:36.893017Z digest=sha256:434a731ab3aa1271d50557f6273b999c92c47ded82b729bad750b898b7165369

Observation b0ece18f-ff03-4cd8-a497-492c0e87d9b3 · 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 FoundPAD: Foundation Models Reloaded for Face Presentation Attack Detection

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-06T15:43:10.801542Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:43:10.801542Z digest=sha256:a352f116c8775d8817344dfeb266be4a5a8bcf5b1154a99c5eb79b77f49bb31e

Observation 7bd550b4-777e-4afa-b534-44866e440351 · inbound

Are Foundation Models All You Need for Zero-shot Face Presentation Attack Detection? cites this paper.

Are Foundation Models All You Need for Zero-shot Face Presentation Attack Detection? FoundPAD: Foundation Models Reloaded for Face Presentation Attack Detection

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-06T15:16:26.193352Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:16:26.193352Z digest=sha256:a19f127bc38fba2281416c82891b7e7c94f3a0e3ce766a89c3168d06852a6e7d

Observation 16068987-e881-4eee-8173-50b377141ce6 · 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 FoundPAD: Foundation Models Reloaded for Face Presentation Attack Detection

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-05-10T06:56:47.193490Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-10T06:56:28.212908Z digest=sha256:92ccd4f4d0c129a0efb5ca865f1cc40ebc0ba02b859c6e8980d5dc036306d9bc