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Paper Citation Record · LEDGER

Foundation Models for Face Presentation Attack Detection: A Unified Linear-Probing Benchmark

As of 7 August 2026, this Paper Citation Record lists 67 of 67 outbound references and 0 inbound Pith citation observations for arXiv:2607.26993.

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

pith.paper-citation-record.v1
2607.26993 v2

Coverage vector

measured 67 of 67 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T10:23:01.499644Z

measured 67 of 67 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 0 of 0 inbound itemization

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measured 0 of 1 external citation measurements

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Reference resolution

67 of 67 outbound references displayed

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Outbound references

Observation d0fd3944-cb00-4319-b7b7-15e454161afe · outbound

This paper cites Andre, E.

Foundation Models for Face Presentation Attack Detection: A Unified Linear-Probing Benchmark Andre, E

Reference 1

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Observation 6fa49bd0-9845-4985-b618-fcf18100c25f · outbound

This paper cites Continuouslyreproducingtoolchains in pattern recognition and machine learning experi- ments.

Foundation Models for Face Presentation Attack Detection: A Unified Linear-Probing Benchmark Continuouslyreproducingtoolchains in pattern recognition and machine learning experi- ments

Reference 2

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Observation f62441ad-9df6-4cd1-8a09-83b242078b53 · outbound

This paper cites Assran, M.

Foundation Models for Face Presentation Attack Detection: A Unified Linear-Probing Benchmark Assran, M

Reference 3

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Observation 44cb6322-e275-45c2-b461-154296109543 · outbound

This paper cites Qwen Technical Report.

Foundation Models for Face Presentation Attack Detection: A Unified Linear-Probing Benchmark Qwen Technical Report

Reference 4

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Observation 82c79cc2-0b8c-4d48-b5a5-9fb308a1d1be · outbound

This paper cites BEiT: BERT Pre-Training of Image Transformers.

Foundation Models for Face Presentation Attack Detection: A Unified Linear-Probing Benchmark BEiT: BERT Pre-Training of Image Transformers

Reference 5

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Observation a8629cfa-5cc5-426f-9de6-210bf68e775c · outbound

This paper cites Boulkenafet, J.

Foundation Models for Face Presentation Attack Detection: A Unified Linear-Probing Benchmark Boulkenafet, J

Reference 6

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Observation 0a60ffce-a731-420e-aa04-04d691ec9711 · outbound

This paper cites Boutros, N.

Foundation Models for Face Presentation Attack Detection: A Unified Linear-Probing Benchmark Boutros, N

Reference 7

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Observation e0a495d6-49b6-45a9-8459-af04ba353590 · outbound

This paper cites Towards data-centric face anti-spoofing: Improving cross-domain generalization via physics-based data synthesis.International Journal of Computer Vision, pages 1–22, 2024.

Foundation Models for Face Presentation Attack Detection: A Unified Linear-Probing Benchmark Towards data-centric face anti-spoofing: Improving cross-domain generalization via physics-based data synthesis.International Journal of Computer Vision, pages 1–22, 2024

Reference 8

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Observation a0b71622-428b-483f-8b66-88abcc268fe1 · outbound

This paper cites Cao and C.

Foundation Models for Face Presentation Attack Detection: A Unified Linear-Probing Benchmark Cao and C

Reference 9

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Observation 5a12140f-61ce-4e37-96b6-a7da30fc4332 · outbound

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Foundation Models for Face Presentation Attack Detection: A Unified Linear-Probing Benchmark Unresolved cited work

Reference 10

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Observation f3bf76eb-27b0-4a58-b8c7-450f46e13a64 · outbound

This paper cites Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling.

Foundation Models for Face Presentation Attack Detection: A Unified Linear-Probing Benchmark Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling

Reference 11

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Observation 8b6e5fbc-96f1-47ba-b378-8c2174967878 · outbound

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Foundation Models for Face Presentation Attack Detection: A Unified Linear-Probing Benchmark Unresolved cited work

Reference 12

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Observation f81f19e9-3f60-480a-945a-3bfab802fba6 · outbound

This paper cites an unresolved cited work.

Foundation Models for Face Presentation Attack Detection: A Unified Linear-Probing Benchmark Unresolved cited work

Reference 13

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Observation f701a1d6-7fb2-42dc-a4a1-8ab3f19c7d28 · outbound

This paper cites an unresolved cited work.

Foundation Models for Face Presentation Attack Detection: A Unified Linear-Probing Benchmark Unresolved cited work

Reference 14

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Observation fcb1c9a0-90a9-4965-911e-90ddab220910 · outbound

This paper cites Darcet, M.

Foundation Models for Face Presentation Attack Detection: A Unified Linear-Probing Benchmark Darcet, M

Reference 15

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Observation 5595ed7c-aa37-4c8d-b502-48151e81b1ab · outbound

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Foundation Models for Face Presentation Attack Detection: A Unified Linear-Probing Benchmark Unresolved cited work

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Observation 822e2b5a-dc5a-4940-9fdf-905678fda5df · outbound

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Foundation Models for Face Presentation Attack Detection: A Unified Linear-Probing Benchmark Unresolved cited work

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Observation 60fde7d1-aa17-417a-9e34-505be13f1677 · outbound

This paper cites Fang and N.

Foundation Models for Face Presentation Attack Detection: A Unified Linear-Probing Benchmark Fang and N

Reference 18

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Observation e9d63955-679c-4e3f-86b2-cb32e2814ee0 · outbound

This paper cites an unresolved cited work.

Foundation Models for Face Presentation Attack Detection: A Unified Linear-Probing Benchmark Unresolved cited work

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Observation 63b0c2a0-ecb9-45bf-899e-3b2fd2fe50b0 · outbound

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Foundation Models for Face Presentation Attack Detection: A Unified Linear-Probing Benchmark Unresolved cited work

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Observation 4cab4c3d-46a8-4926-bf7c-90d6f82b1797 · outbound

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Foundation Models for Face Presentation Attack Detection: A Unified Linear-Probing Benchmark Unresolved cited work

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Observation 9693e0d8-766a-438a-990a-463cc616b68b · outbound

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Foundation Models for Face Presentation Attack Detection: A Unified Linear-Probing Benchmark Unresolved cited work

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Observation ba470993-ca8f-46c1-9e47-ef5ec9a96982 · outbound

This paper cites George and S.

Foundation Models for Face Presentation Attack Detection: A Unified Linear-Probing Benchmark George and S

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Observation da132970-2b71-4cc7-87d0-e122b696dbf4 · outbound

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Foundation Models for Face Presentation Attack Detection: A Unified Linear-Probing Benchmark Unresolved cited work

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Observation efa55a06-3959-466d-9dab-c386319e23af · outbound

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Foundation Models for Face Presentation Attack Detection: A Unified Linear-Probing Benchmark Unresolved cited work

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Observation 583fbcbe-c8d4-48a6-8d06-8d9e28b5bb76 · outbound

This paper cites Masked autoencoders are scalable vision learners.

Foundation Models for Face Presentation Attack Detection: A Unified Linear-Probing Benchmark Masked autoencoders are scalable vision learners

Reference 26

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Observation ab5da273-151f-494f-9ea6-36ee9a5c1d86 · outbound

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Foundation Models for Face Presentation Attack Detection: A Unified Linear-Probing Benchmark Unresolved cited work

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Observation f506f5d5-5c1a-474b-b32a-d7eebca9aa92 · outbound

This paper cites Adam, and M.-H.

Foundation Models for Face Presentation Attack Detection: A Unified Linear-Probing Benchmark Adam, and M.-H

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Observation bc344f5b-a283-46c1-88ae-74641642da0d · outbound

This paper cites ISO/IECDIS30107-3:2016: InformationTechnology– Biometric presentation attack detection – P.

Foundation Models for Face Presentation Attack Detection: A Unified Linear-Probing Benchmark ISO/IECDIS30107-3:2016: InformationTechnology– Biometric presentation attack detection – P

Reference 29

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Observation 2ccdc358-11e8-4392-ad4a-352f6291d4a9 · outbound

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Foundation Models for Face Presentation Attack Detection: A Unified Linear-Probing Benchmark Unresolved cited work

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Observation acc6746e-3c6b-4388-b4a9-0bc654ab9935 · outbound

This paper cites Kirillov, E.

Foundation Models for Face Presentation Attack Detection: A Unified Linear-Probing Benchmark Kirillov, E

Reference 31

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Observation f237a1b4-30c7-4da2-849d-fe5040b10e22 · outbound

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

Foundation Models for Face Presentation Attack Detection: A Unified Linear-Probing Benchmark Unsupervised domain adaptation for face anti-spoofing

Reference 32

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Observation fded7a3a-29e8-4999-b92e-3b1203662cf4 · outbound

This paper cites an unresolved cited work.

Foundation Models for Face Presentation Attack Detection: A Unified Linear-Probing Benchmark Unresolved cited work

Reference 33

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Observation 8f29cca0-9dc8-4683-9840-ec0d7b4b748e · outbound

This paper cites Lin, Y.-W.

Foundation Models for Face Presentation Attack Detection: A Unified Linear-Probing Benchmark Lin, Y.-W

Reference 34

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Observation aa7d7195-fac1-4485-972a-bf269e5f84d4 · outbound

This paper cites Cfpl-fas: Classfreepromptlearning for generalizable face anti-spoofing.

Foundation Models for Face Presentation Attack Detection: A Unified Linear-Probing Benchmark Cfpl-fas: Classfreepromptlearning for generalizable face anti-spoofing

Reference 35

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Observation 70034e5f-0de0-4e7e-92fb-91d387cc095a · outbound

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Foundation Models for Face Presentation Attack Detection: A Unified Linear-Probing Benchmark Unresolved cited work

Reference 36

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Observation 83bdd19b-b00b-4a23-b5b0-441e7ab5d719 · outbound

This paper cites Learningdeepmodels for face anti-spoofing: Binary or auxiliary supervision.

Foundation Models for Face Presentation Attack Detection: A Unified Linear-Probing Benchmark Learningdeepmodels for face anti-spoofing: Binary or auxiliary supervision

Reference 37

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Observation a950eeb7-80a7-4a3a-bf08-7c7e871e0090 · outbound

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

Foundation Models for Face Presentation Attack Detection: A Unified Linear-Probing Benchmark DINOv2: Learning Robust Visual Features without Supervision

Reference 38

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Observation 3a343c59-3f9a-446b-b415-9f3c1bb52aa4 · outbound

This paper cites Foundationmodels and biometrics: A survey and outlook.IEEE Transac- tions on Information Forensics and Security, 2025.

Foundation Models for Face Presentation Attack Detection: A Unified Linear-Probing Benchmark Foundationmodels and biometrics: A survey and outlook.IEEE Transac- tions on Information Forensics and Security, 2025

Reference 39

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Observation a77e7da7-7ba4-4f5c-b666-f4a197cf9b21 · outbound

This paper cites Ozgur, E.

Foundation Models for Face Presentation Attack Detection: A Unified Linear-Probing Benchmark Ozgur, E

Reference 40

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source=pdf_text observed=2026-08-01T10:22:58.945050Z digest=sha256:9ccf5a1bb815411aac597e23b7d09610dd14df371f98385d659a7a685fb3ff6b

Observation ad0a996f-db85-4262-b670-7a1c7c008658 · outbound

This paper cites Pasmino, C.

Foundation Models for Face Presentation Attack Detection: A Unified Linear-Probing Benchmark Pasmino, C

Reference 41

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source=pdf_text observed=2026-08-01T10:22:58.982849Z digest=sha256:f613ea8fd577765008c4f3ec2f6db1e2288540564e4c99e4b6c9eb56da026b58

Observation 243c9466-c426-4ba7-adb2-7a43880d2e13 · outbound

This paper cites Patel, H.

Foundation Models for Face Presentation Attack Detection: A Unified Linear-Probing Benchmark Patel, H

Reference 42

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source=pdf_text observed=2026-08-01T10:22:59.006618Z digest=sha256:f2b823fcdc34b951e10b020be1399edcf415ebf42d7be27c8643a138c6508bf0

Observation f88cff9b-e2be-43e6-a979-3376446654d9 · outbound

This paper cites Agarwal, G.

Foundation Models for Face Presentation Attack Detection: A Unified Linear-Probing Benchmark Agarwal, G

Reference 43

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source=pdf_text observed=2026-08-01T10:22:59.052030Z digest=sha256:fca546f02cac251c1dafdd91022e523e132d1887f5f16e014d9d5be56d63953c

Observation 862f601d-e242-48fa-b41b-20a14172fc50 · outbound

This paper cites Multi-adversarial discriminative deep domain generalization for face presentation attack detection.

Foundation Models for Face Presentation Attack Detection: A Unified Linear-Probing Benchmark Multi-adversarial discriminative deep domain generalization for face presentation attack detection

Reference 44

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source=pdf_text observed=2026-08-01T10:22:59.130734Z digest=sha256:9a74d9d2cd47285e34f28b74083c049d86611c669639859fc660c15c7aba299e

Observation afc3be5b-e52d-43cb-8239-dc5c8cf4e641 · outbound

This paper cites an unresolved cited work.

Foundation Models for Face Presentation Attack Detection: A Unified Linear-Probing Benchmark Unresolved cited work

Reference 45

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source=pdf_text observed=2026-08-01T10:22:59.267947Z digest=sha256:e387494f846ec2e43e40ccc14ab8280c99c22fad456701ad5053ce40f2b20ca6

Observation 22489923-a2a0-4f51-b97f-4368197250ba · outbound

This paper cites DINOv3.

Foundation Models for Face Presentation Attack Detection: A Unified Linear-Probing Benchmark DINOv3

Reference 46

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source=pdf_text observed=2026-08-01T10:22:59.339319Z digest=sha256:37501b960c292d0981dc0f89c9007fd13df8cc2519181ed25e55d1c7720fcd9d

Observation aea875cf-4fd7-48e1-be78-7fda7823505c · outbound

This paper cites Srivatsan, M.

Foundation Models for Face Presentation Attack Detection: A Unified Linear-Probing Benchmark Srivatsan, M

Reference 47

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source=pdf_text observed=2026-08-01T10:22:59.446152Z digest=sha256:2244d81732b884df917639c51d15369a9a8ccbb0f6a7fc67ae7e5285fde643ec

Observation 1c6d4487-7e5f-4823-b928-f8ca5cdfa8f7 · outbound

This paper cites EVA-CLIP: Improved Training Techniques for CLIP at Scale.

Foundation Models for Face Presentation Attack Detection: A Unified Linear-Probing Benchmark EVA-CLIP: Improved Training Techniques for CLIP at Scale

Reference 48

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source=pdf_text observed=2026-08-01T10:22:59.566141Z digest=sha256:4f3970ed7f5f2dd4a60118be28f8f76e67de42539d428fd3d6b87ec47b02fa29

Observation 6d6f6232-4a77-4216-b763-9d29c39dcf4a · outbound

This paper cites an unresolved cited work.

Foundation Models for Face Presentation Attack Detection: A Unified Linear-Probing Benchmark Unresolved cited work

Reference 49

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source=pdf_text observed=2026-08-01T10:22:59.667904Z digest=sha256:312e847d1865966b2a5fa43c9d2bfdd5fc8051ecc4ce48d85213565fd91c3238

Observation 9cf62e95-55d8-45b7-91cf-d288121a9150 · outbound

This paper cites an unresolved cited work.

Foundation Models for Face Presentation Attack Detection: A Unified Linear-Probing Benchmark Unresolved cited work

Reference 50

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source=pdf_text observed=2026-08-01T10:22:59.780468Z digest=sha256:dfbfa6dfd0fcf9cb0aa7d06d94fd988ab503e798aea942ad63a3322fa5a5ea9d

Observation 244a7ebf-344b-4992-bf01-195bb5deae1f · outbound

This paper cites an unresolved cited work.

Foundation Models for Face Presentation Attack Detection: A Unified Linear-Probing Benchmark Unresolved cited work

Reference 51

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source=pdf_text observed=2026-08-01T10:22:59.896573Z digest=sha256:351d44b117feba7a9bbc010d9656a701c4398a7c9182baeaf7341b13ba69c88a

Observation 5e7e69e1-2592-4528-8f2a-57e5a5ee8f8b · outbound

This paper cites an unresolved cited work.

Foundation Models for Face Presentation Attack Detection: A Unified Linear-Probing Benchmark Unresolved cited work

Reference 52

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source=pdf_text observed=2026-08-01T10:22:59.963619Z digest=sha256:d99152554aa0088b2ba9c7d35bf0a11d3a432a22d54f127ed3727cb417d001de

Observation 2957034f-5b07-469c-b81b-e260b3b47cdd · outbound

This paper cites Spoofingattackdetec- tioninfacerecognitionsystemusingvisiontransformer with patch-wise data augmentation.

Foundation Models for Face Presentation Attack Detection: A Unified Linear-Probing Benchmark Spoofingattackdetec- tioninfacerecognitionsystemusingvisiontransformer with patch-wise data augmentation

Reference 53

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source=pdf_text observed=2026-08-01T10:23:00.057146Z digest=sha256:ff52ae98a3d21a4b86565ed222a55379731f81f38689f767a178ceca5217332d

Observation ee2eebb0-dc30-4e4f-916d-b56fbdf78074 · outbound

This paper cites an unresolved cited work.

Foundation Models for Face Presentation Attack Detection: A Unified Linear-Probing Benchmark Unresolved cited work

Reference 54

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source=pdf_text observed=2026-08-01T10:23:00.213506Z digest=sha256:3264d980312790f7e85f3d72bc03bac69acc9900f2c2f7dee4c263a19a790acf

Observation ce323875-aff3-450b-b0be-b4c7b712ff58 · outbound

This paper cites Googleland- marks dataset v2-a large-scale benchmark for instance- level recognition and retrieval.

Foundation Models for Face Presentation Attack Detection: A Unified Linear-Probing Benchmark Googleland- marks dataset v2-a large-scale benchmark for instance- level recognition and retrieval

Reference 55

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source=pdf_text observed=2026-08-01T10:23:00.306087Z digest=sha256:15f8adb19309163bb88998df3372b6b991713882289eca6ebc09e8d81b389dad

Observation fb5500da-14ce-4d15-83aa-ba29ee7e8c67 · outbound

This paper cites an unresolved cited work.

Foundation Models for Face Presentation Attack Detection: A Unified Linear-Probing Benchmark Unresolved cited work

Reference 56

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source=pdf_text observed=2026-08-01T10:23:00.383355Z digest=sha256:c886bab8a942e63322466d1b9efa730a05c8e2960bc6cb06511ea39a0bf88f34

Observation 55074cf5-cfda-4487-add8-900dadb72204 · outbound

This paper cites an unresolved cited work.

Foundation Models for Face Presentation Attack Detection: A Unified Linear-Probing Benchmark Unresolved cited work

Reference 57

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source=pdf_text observed=2026-08-01T10:23:00.459668Z digest=sha256:d1f2eb382ef84537eeefc5e29f55255b0cb9193b237717750a92f344b209bc20

Observation 5073fe6d-f7c1-4443-bf64-b9c249269a61 · outbound

This paper cites Qwen3 Technical Report.

Foundation Models for Face Presentation Attack Detection: A Unified Linear-Probing Benchmark Qwen3 Technical Report

Reference 58

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source=pdf_text observed=2026-08-01T10:23:00.595913Z digest=sha256:80aa08b5b53263248efa348ad5529ac10d7793b02e0742f60b971169ee954e87

Observation 27fdce5b-ff6c-4876-8db2-3ce5c54df2a6 · outbound

This paper cites an unresolved cited work.

Foundation Models for Face Presentation Attack Detection: A Unified Linear-Probing Benchmark Unresolved cited work

Reference 59

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source=pdf_text observed=2026-08-01T10:23:00.774022Z digest=sha256:fec0159fb9d2a45cf3c26aed600edf1f8b45ae1a2e9f51bff65d98e26664c16b

Observation 4f575a9a-f306-40f0-9110-d9bb94204de5 · outbound

This paper cites an unresolved cited work.

Foundation Models for Face Presentation Attack Detection: A Unified Linear-Probing Benchmark Unresolved cited work

Reference 60

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source=pdf_text observed=2026-08-01T10:23:00.901934Z digest=sha256:070304942537a832b75bb9081ba96f4792864be32e98aa8ef7e6cb4f284a8dba

Observation c8afdfe1-8788-47f2-8937-85838eb37679 · outbound

This paper cites an unresolved cited work.

Foundation Models for Face Presentation Attack Detection: A Unified Linear-Probing Benchmark Unresolved cited work

Reference 61

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source=pdf_text observed=2026-08-01T10:23:00.977743Z digest=sha256:70e3dea00dc9204cf62ecb535a7830faa241b4280dbde85aeaafc888191ccbd2

Observation 91b99af0-d355-4604-be1d-36b5cb4b00ab · outbound

This paper cites an unresolved cited work.

Foundation Models for Face Presentation Attack Detection: A Unified Linear-Probing Benchmark Unresolved cited work

Reference 62

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source=pdf_text observed=2026-08-01T10:23:01.053626Z digest=sha256:002b13d302d98b8eb3041d4fdd9200e7b787f4d9e03432b131634c168c1cc148

Observation a342af8f-698c-44e9-bc3e-9e7c0ff2a0a7 · outbound

This paper cites an unresolved cited work.

Foundation Models for Face Presentation Attack Detection: A Unified Linear-Probing Benchmark Unresolved cited work

Reference 63

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source=pdf_text observed=2026-08-01T10:23:01.147974Z digest=sha256:990868b6f61f6159e485e9e7ebd6f961339553681967ba28c372539fd763d6aa

Observation 15ebee07-1920-45ec-846e-b2abdd4f8865 · outbound

This paper cites Zhang, K.

Foundation Models for Face Presentation Attack Detection: A Unified Linear-Probing Benchmark Zhang, K

Reference 64

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source=pdf_text observed=2026-08-01T10:23:01.242577Z digest=sha256:fa6edc5e292d27a8027e7635a170624d9bc8270c6e3126336ca99b26afe13b20

Observation 73ee2476-4949-4365-b5a3-6d5b7bdac52c · outbound

This paper cites Zhang, Z.

Foundation Models for Face Presentation Attack Detection: A Unified Linear-Probing Benchmark Zhang, Z

Reference 65

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source=pdf_text observed=2026-08-01T10:23:01.324513Z digest=sha256:9eb405ec430ee516f7b4976218d5dcc35fa79f246b4fed39f34fbb2b79802095

Observation 30a7ceb9-172d-4628-bc86-be11a18df2c2 · outbound

This paper cites Zhang, Z.

Foundation Models for Face Presentation Attack Detection: A Unified Linear-Probing Benchmark Zhang, Z

Reference 66

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source=pdf_text observed=2026-08-01T10:23:01.444423Z digest=sha256:ff83d6e0fc9e48a09814dbeb49a65455cb39dac544cf5805ed3e2bb505fac38b

Observation 59b10be3-2125-4cfe-add4-38b292f677fc · outbound

This paper cites iBOT: Image BERT Pre-Training with Online Tokenizer.

Foundation Models for Face Presentation Attack Detection: A Unified Linear-Probing Benchmark iBOT: Image BERT Pre-Training with Online Tokenizer

Reference 67

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source=pdf_text observed=2026-08-01T10:23:01.499644Z digest=sha256:f31892e2d4724e297a95ca199728ba649b8c6a3e2eec34d15ec095aac691e2bd

Pith citing papers

No inbound Pith citation observations are available.