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Paper Citation Record · LEDGER

Can Foundation Models Generalise the Presentation Attack Detection Capabilities on ID Cards?

As of 11 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 2 inbound Pith citation observations for arXiv:2506.05263.

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

pith.paper-citation-record.v1
2506.05263 v1

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:29:44.022238Z

measured 40 of 40 standing notices

One-hop event checks from named stored sources.

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

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-03T20:02:56.057102Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T20:08:55.128697Z

Reference resolution

38 of 38 outbound references displayed

  • verified exact4
  • verified fuzzy28
  • unresolved6
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c39fd047-2701-4ad7-94b6-e04b66e6921a · outbound

This paper cites Few-shot object detection: A comprehensive survey,.

Can Foundation Models Generalise the Presentation Attack Detection Capabilities on ID Cards? Few-shot object detection: A comprehensive survey,

Reference 1

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verified fuzzy
raw_fallback, observed 2026-08-07T10:29:44.985360Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T10:29:43.682931Z digest=sha256:49325138127283955ccdf87241ed621ff55ee7f8dcc0015d7f7aa472c2d293b6

Observation f180b009-dcd2-4ddf-96b9-664c9f5910a4 · outbound

This paper cites SynID: Passport Synthetic Dataset for Presentation Attack Detection.

Can Foundation Models Generalise the Presentation Attack Detection Capabilities on ID Cards? SynID: Passport Synthetic Dataset for Presentation Attack Detection

Reference 2

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unresolved
no resolver link, observed 2026-08-07T10:29:43.696396Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:29:43.696396Z digest=sha256:e8f627bfebdd15e322a1b0839f3c88a0ca778b65b975d80a1a0f8a4065618f7d

Observation 1f2307b7-c56b-4726-addd-1fa3d16ace1d · outbound

This paper cites Open source face image quality (OFIQ) - implementation and evaluation of algorithms,.

Can Foundation Models Generalise the Presentation Attack Detection Capabilities on ID Cards? Open source face image quality (OFIQ) - implementation and evaluation of algorithms,

Reference 3

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raw_fallback, observed 2026-08-07T10:29:44.962615Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T10:29:43.704829Z digest=sha256:f27498c1ee52aea7cdafefaacac50ce30172b9f8db4b901002650fd9eb323998

Observation 5e2a0d1a-36fb-4795-ba46-426304d87aac · outbound

This paper cites Face analysis technology evaluation (FATE) part 11: Face image quality vector assessment - specific image defect detection,.

Can Foundation Models Generalise the Presentation Attack Detection Capabilities on ID Cards? Face analysis technology evaluation (FATE) part 11: Face image quality vector assessment - specific image defect detection,

Reference 4

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raw_fallback, observed 2026-08-07T10:29:44.937825Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T10:29:43.716350Z digest=sha256:f9cbde034791ff314c9525ec8e0c17b5605657d93601fd80d1b4524d0a9a14be

Observation 85e25259-4e85-449a-84e6-c7a40b5099d8 · outbound

This paper cites Forged presentation attack detection for ID cards on remote verification systems,.

Can Foundation Models Generalise the Presentation Attack Detection Capabilities on ID Cards? Forged presentation attack detection for ID cards on remote verification systems,

Reference 5

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raw_fallback, observed 2026-08-07T10:29:44.918368Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T10:29:43.725479Z digest=sha256:11bc8ee0f3c66d05f70bd76a9f8b7bbb2f5475e080d0e07260bc574faad87112

Observation ebe8e47b-e5ef-4ea6-8e83-1accbc18f51b · outbound

This paper cites MIDV-500: a dataset for identity document analysis and recognition on mobile devices in video stream,.

Can Foundation Models Generalise the Presentation Attack Detection Capabilities on ID Cards? MIDV-500: a dataset for identity document analysis and recognition on mobile devices in video stream,

Reference 6

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raw_fallback, observed 2026-08-07T10:29:44.898158Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T10:29:43.740546Z digest=sha256:8cd0529546d932953746fd2e1c69515a144e00b423381fe3195904476d475d0f

Observation dc9c8340-037d-47a9-9525-8e11628c9d90 · outbound

This paper cites MIDV-2020: a comprehensive benchmark dataset for identity document analysis,.

Can Foundation Models Generalise the Presentation Attack Detection Capabilities on ID Cards? MIDV-2020: a comprehensive benchmark dataset for identity document analysis,

Reference 7

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raw_fallback, observed 2026-08-07T10:29:44.874981Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T10:29:43.751659Z digest=sha256:e9d9d3b99457018efa3aeff5baa00f07222f6bce95ad1482ad38e27b545bf964

Observation 37dcfd83-d2d4-4572-bbdc-9de35d1dcab3 · outbound

This paper cites Document Liveness Challenge DLC-2021 - part 1 (or, cg),.

Can Foundation Models Generalise the Presentation Attack Detection Capabilities on ID Cards? Document Liveness Challenge DLC-2021 - part 1 (or, cg),

Reference 8

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verified exact
doi, observed 2026-08-07T10:29:44.096897Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T10:29:43.762735Z digest=sha256:b1392855281141c572af06076c574df9bd3609ea8f4242ed0ca8f75103023f1f

Observation d8c3158e-6039-4d46-b660-c64669694907 · outbound

This paper cites MIDV-holo: A dataset for id document hologram detection in a video stream,.

Can Foundation Models Generalise the Presentation Attack Detection Capabilities on ID Cards? MIDV-holo: A dataset for id document hologram detection in a video stream,

Reference 9

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raw_fallback, observed 2026-08-07T10:29:44.855584Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T10:29:43.772699Z digest=sha256:1a86924bf2aa92b3253a4a9c2dbc7eda7f9df813ec2864303bb8c53c47408aab

Observation 03930502-f30e-4e31-9b39-39f3c75cc543 · outbound

This paper cites IDNet: A novel dataset for identity document analysis and fraud detection (part 2),.

Can Foundation Models Generalise the Presentation Attack Detection Capabilities on ID Cards? IDNet: A novel dataset for identity document analysis and fraud detection (part 2),

Reference 10

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verified exact
doi, observed 2026-08-07T10:29:44.076406Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T10:29:43.785405Z digest=sha256:d7d36f7faffd2e2a0cf3ce8c016a5061863320d3872a09f081fd8ab4feab0f1d

Observation cf3bb5b0-65bf-479b-a9c6-ae2142bfd841 · outbound

This paper cites Hybrid two-stage architecture for tampering detection of chipless ID cards,.

Can Foundation Models Generalise the Presentation Attack Detection Capabilities on ID Cards? Hybrid two-stage architecture for tampering detection of chipless ID cards,

Reference 11

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raw_fallback, observed 2026-08-07T10:29:44.838460Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T10:29:43.802766Z digest=sha256:f367e473daa3c05dd1764a5c5e8840f36022f32fafc2e13fce10a7644679a7fa

Observation b4aabdeb-ef31-44a7-9700-fb3068d3058c · outbound

This paper cites Synthetic ID card image generation for improving presentation attack detection,.

Can Foundation Models Generalise the Presentation Attack Detection Capabilities on ID Cards? Synthetic ID card image generation for improving presentation attack detection,

Reference 12

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raw_fallback, observed 2026-08-07T10:29:44.818382Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T10:29:43.821831Z digest=sha256:da9a3a69004d47c4db9695f03d1785246c1747d2c43d5e42cc44d9f6ebbccb33

Observation 180734aa-9e0f-425e-a5d5-1fd847ccf3e7 · outbound

This paper cites Open-set: ID card presentation attack detection using neural style transfer,.

Can Foundation Models Generalise the Presentation Attack Detection Capabilities on ID Cards? Open-set: ID card presentation attack detection using neural style transfer,

Reference 13

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raw_fallback, observed 2026-08-07T10:29:44.798490Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T10:29:43.827670Z digest=sha256:7b9df44c1e5696da4abe3dd79a3fcf5dbbcff30e8b424d810368ef72a66bff6f

Observation 9430438f-12cd-42c5-949b-1f5123db9578 · outbound

This paper cites Unpaired image-to-image translation using cycle-consistent adversarial networks,.

Can Foundation Models Generalise the Presentation Attack Detection Capabilities on ID Cards? Unpaired image-to-image translation using cycle-consistent adversarial networks,

Reference 14

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unresolved
no resolver link, observed 2026-08-07T10:29:43.839218Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:29:43.839218Z digest=sha256:446967849235a5b28a99a1b532a0737cab6fea5b1e86cdde568f1a84973615af

Observation bb572b2a-a601-4e7f-a001-aaa930b7dfb7 · outbound

This paper cites Image-to-image translation with conditional adversarial networks,.

Can Foundation Models Generalise the Presentation Attack Detection Capabilities on ID Cards? Image-to-image translation with conditional adversarial networks,

Reference 15

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raw_fallback, observed 2026-08-07T10:29:44.760885Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T10:29:43.846866Z digest=sha256:00717d5048a817a99ab9c781b861622ca3279fdf52d744e82fd0315f27e3d0cd

Observation c73217e9-0e5a-48a7-835a-fa9f92d6e12d · outbound

This paper cites Few-shot learning: Expanding ID cards presentation attack detection to unknown ID countries,.

Can Foundation Models Generalise the Presentation Attack Detection Capabilities on ID Cards? Few-shot learning: Expanding ID cards presentation attack detection to unknown ID countries,

Reference 16

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raw_fallback, observed 2026-08-07T10:29:44.741806Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T10:29:43.858054Z digest=sha256:314b9eddd101ca21375ad0a5738e300dbd8951c9243eb66134750e39ef005644

Observation aa49cdb3-32de-48f6-8077-83e087cf19da · outbound

This paper cites First competition on presentation attack detection on ID card,.

Can Foundation Models Generalise the Presentation Attack Detection Capabilities on ID Cards? First competition on presentation attack detection on ID card,

Reference 17

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raw_fallback, observed 2026-08-07T10:29:44.720866Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T10:29:43.869634Z digest=sha256:5a80ee13b4135daf101586ab8c1b6b2c40e0decb850c98114f29c88708ca9fd9

Observation 12b0624f-e573-4e8e-be5b-5445c66e737c · outbound

This paper cites Domain-agnostic document authentication against practical recapturing attacks,.

Can Foundation Models Generalise the Presentation Attack Detection Capabilities on ID Cards? Domain-agnostic document authentication against practical recapturing attacks,

Reference 18

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raw_fallback, observed 2026-08-07T10:29:44.697127Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T10:29:43.876271Z digest=sha256:0a838bea6d7977bf7bd16fa6dfbfe3457cf7cf8b49f3815deb0902430d52380c

Observation abc650ff-a2aa-4456-96c4-c82a722a1dc0 · outbound

This paper cites Moire spectral augmentation and masked ´ frequency modeling for document presentation attack detection,.

Can Foundation Models Generalise the Presentation Attack Detection Capabilities on ID Cards? Moire spectral augmentation and masked ´ frequency modeling for document presentation attack detection,

Reference 19

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raw_fallback, observed 2026-08-07T10:29:44.674826Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T10:29:43.882742Z digest=sha256:1345e915f0abb822a16538f658715fe32f5fb013aca4a872c7b78da851cb1e98

Observation f5c98f6f-4e93-40c8-8a83-7109ae9bf2d5 · outbound

This paper cites KID34K: A dataset for online identity card fraud detection,.

Can Foundation Models Generalise the Presentation Attack Detection Capabilities on ID Cards? KID34K: A dataset for online identity card fraud detection,

Reference 20

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no resolver link, observed 2026-08-07T10:29:43.889419Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:29:43.889419Z digest=sha256:de7424973e665c605fd1b13f10a38cffe01874f6d516bbbf96e4c39e308756ba

Observation 4fddd7c8-b6c5-4990-ac56-24a5b70f7a32 · outbound

This paper cites MIDV-2019: Challenges of the modern mobile-based document ocr,.

Can Foundation Models Generalise the Presentation Attack Detection Capabilities on ID Cards? MIDV-2019: Challenges of the modern mobile-based document ocr,

Reference 21

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raw_fallback, observed 2026-08-07T10:29:44.652004Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T10:29:43.894758Z digest=sha256:2cde10ccbf9854346b6f96fed63e7079af214407b75dc008ca66a5cb64c8b2ad

Observation 7699f089-8708-488b-9b5a-0dea0abad658 · outbound

This paper cites Synthetic dataset of ID and Travel Document.

Can Foundation Models Generalise the Presentation Attack Detection Capabilities on ID Cards? Synthetic dataset of ID and Travel Document

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-07T10:29:43.901833Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:29:43.901833Z digest=sha256:04d10a898cd8b38ec71330cc888dd31136684bf383ddd5ac4d675d99693db9ac

Observation b973a04c-3071-47ae-a7e0-6738425695a3 · outbound

This paper cites Guilloche detection for ID authentication: A dataset and baselines,.

Can Foundation Models Generalise the Presentation Attack Detection Capabilities on ID Cards? Guilloche detection for ID authentication: A dataset and baselines,

Reference 23

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raw_fallback, observed 2026-08-07T10:29:44.629606Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T10:29:43.909923Z digest=sha256:8b64b9e5c85b24aa6ea66d8a3777493f86d8c1d37012ebb78c0e6b0869008bdc

Observation f2469410-80dd-4b2b-a053-ef6d96bbdd03 · outbound

This paper cites Foundation models and biometrics: A survey and outlook,.

Can Foundation Models Generalise the Presentation Attack Detection Capabilities on ID Cards? Foundation models and biometrics: A survey and outlook,

Reference 24

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raw_fallback, observed 2026-08-07T10:29:44.610053Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T10:29:43.915623Z digest=sha256:a414ad8a18649294599d266c3d7bb906988581c760f9f08741e33989256105f3

Observation f19330d5-516d-4624-8495-24559cdc04f2 · outbound

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

Can Foundation Models Generalise the Presentation Attack Detection Capabilities on ID Cards? FRoundation: Are Foundation Models Ready for Face Recognition?

Reference 25

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verified exact
local_arxiv, observed 2026-08-07T10:29:44.191080Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T10:29:43.923470Z digest=sha256:41cc407d427620433b0a418570be5bb9213490e545bad996c451885ad9f73054

Observation bc56b99a-1bda-4e01-9c79-5c6ea35246b3 · outbound

This paper cites Foundpad: Foundation models reloaded for face presen- tation attack detection,.

Can Foundation Models Generalise the Presentation Attack Detection Capabilities on ID Cards? Foundpad: Foundation models reloaded for face presen- tation attack detection,

Reference 26

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verified fuzzy
raw_fallback, observed 2026-08-07T10:29:44.587035Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T10:29:43.931471Z digest=sha256:4cffebc57d915018591419b9dce455fc02161faa26fb2861f771787364086632

Observation 923c3693-cf34-4432-83ef-93e952dde9c8 · outbound

This paper cites Towards Iris Presentation Attack Detection with Foundation Models.

Can Foundation Models Generalise the Presentation Attack Detection Capabilities on ID Cards? Towards Iris Presentation Attack Detection with Foundation Models

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-07T10:29:43.938434Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:29:43.938434Z digest=sha256:fc994c600adb0cad7dd513798027a9097c0b5be332e511bf71fdb980f966a6fd

Observation 9a43db2d-3906-439b-b89c-b24ff90b069c · outbound

This paper cites DINOv2: Learning robust visual features without supervision,.

Can Foundation Models Generalise the Presentation Attack Detection Capabilities on ID Cards? DINOv2: Learning robust visual features without supervision,

Reference 28

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raw_fallback, observed 2026-08-07T10:29:44.564289Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T10:29:43.946285Z digest=sha256:852436910f15ac5e9c328e10657e29455ddb22e772ac59c9e88074e254251cab

Observation 5018d005-f05c-465a-9215-b8f6710202bf · outbound

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

Can Foundation Models Generalise the Presentation Attack Detection Capabilities on ID Cards? Iris-SAM: Iris Segmentation Using a Foundation Model

Reference 29

Resolution
verified exact
local_arxiv, observed 2026-08-07T10:29:44.128216Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T10:29:43.953903Z digest=sha256:dca1df2eb4e2ac93f0ba8f90c64ba6989b8e00530ec64246c3d256e621d68889

Observation cfae2b8b-85b2-4d99-b189-e0ea6e2232bb · outbound

This paper cites Reproducible scaling laws for contrastive language-image learning,.

Can Foundation Models Generalise the Presentation Attack Detection Capabilities on ID Cards? Reproducible scaling laws for contrastive language-image learning,

Reference 30

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raw_fallback, observed 2026-08-07T10:29:44.542748Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T10:29:43.961577Z digest=sha256:66b2e441862e20aa643aca01da3391a7a90f145b07d02eef4a6a69cdc392541e

Observation 43a874c5-d5fa-4fcc-8605-05bf35632238 · outbound

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

Can Foundation Models Generalise the Presentation Attack Detection Capabilities on ID Cards? Learning transferable visual models from natural language supervi- sion,

Reference 31

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raw_fallback, observed 2026-08-07T10:29:44.524120Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T10:29:43.967279Z digest=sha256:0d439fb2ab4166db7d08f27a630b3af513a9b846f5239dbd81c6957eeb82f5f4

Observation 8b461571-d6a0-4405-83af-6253955536da · outbound

This paper cites Low-rank adaptation of pre-trained large vision models for improved lung nodule malignancy classification,.

Can Foundation Models Generalise the Presentation Attack Detection Capabilities on ID Cards? Low-rank adaptation of pre-trained large vision models for improved lung nodule malignancy classification,

Reference 32

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raw_fallback, observed 2026-08-07T10:29:44.503609Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T10:29:43.973486Z digest=sha256:ded9253d67d05b1d8df21ac872a64bcdd67aed7862d005dcee1222d6bf2f4004

Observation 49c2b0dd-37ef-48a1-8cbf-a7fc3cd3c601 · outbound

This paper cites Yolov8: A novel object detection algorithm with enhanced performance and robustness,.

Can Foundation Models Generalise the Presentation Attack Detection Capabilities on ID Cards? Yolov8: A novel object detection algorithm with enhanced performance and robustness,

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:29:44.480730Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T10:29:43.981180Z digest=sha256:549f1568f7a5178ca4404192b9e710d7db175da05eebb680ec72225dee0e0519

Observation 4c93a49c-c633-4a59-960c-686f1eb4389d · outbound

This paper cites Densely connected convolutional networks,.

Can Foundation Models Generalise the Presentation Attack Detection Capabilities on ID Cards? Densely connected convolutional networks,

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:29:44.457748Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T10:29:43.988668Z digest=sha256:cd89a15e0d6f5996f7777e89571ae2a5a6b2d807eae3f4e44fb5495648efa64e

Observation 40fc11c3-4135-4f62-b161-0ac528901e9e · outbound

This paper cites EfficientNet: Rethinking model scaling for convolu- tional neural networks,.

Can Foundation Models Generalise the Presentation Attack Detection Capabilities on ID Cards? EfficientNet: Rethinking model scaling for convolu- tional neural networks,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:29:44.435899Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T10:29:43.997937Z digest=sha256:1ab62495bb2a8bb4b6a82319d1c90c581f9a220b4ae3f5cedf44ccfd1fd268f5

Observation aad84191-d763-4426-9d88-b6964fad9a9d · outbound

This paper cites Searching for mobilenetv3,.

Can Foundation Models Generalise the Presentation Attack Detection Capabilities on ID Cards? Searching for mobilenetv3,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:29:44.411949Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T10:29:44.006287Z digest=sha256:212f925b8dd12c2313b6e266287c6f4b37b0c5a5c9b20140527168b63cf86eae

Observation 5f581141-3b6a-4375-8a03-26b0a457b64d · outbound

This paper cites Deep residual learning for image recognition,.

Can Foundation Models Generalise the Presentation Attack Detection Capabilities on ID Cards? Deep residual learning for image recognition,

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-07T10:29:44.015129Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:29:44.015129Z digest=sha256:ddd013afb594e3e3bf411ad98bd215dcd6aa3eb84d0ba751bdfe9435126e36cd

Observation 78aed760-321d-405a-a53d-4a32440548e8 · outbound

This paper cites Swin transformer v2: Scaling up capacity and resolution,.

Can Foundation Models Generalise the Presentation Attack Detection Capabilities on ID Cards? Swin transformer v2: Scaling up capacity and resolution,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:29:44.377918Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T10:29:44.022238Z digest=sha256:7319a84af2782235abc1589e07da21e6a99b7dbfbce3943b191bf2b31e2edc7b

Pith citing papers

Observation 25200abf-456a-4639-870f-33a8118d0928 · inbound

From Vision to Text: A Compact Multimodal Approach for Robust, Cross-Domain Presentation Attack Detection on ID Cards cites this paper.

From Vision to Text: A Compact Multimodal Approach for Robust, Cross-Domain Presentation Attack Detection on ID Cards Can Foundation Models Generalise the Presentation Attack Detection Capabilities on ID Cards?

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-07-02T16:57:10.138300Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-06-27T22:15:46.443207Z digest=sha256:553b14e9819a361aff48ed422cc9948c281fe5a3b59030394fa31db09e1eb25b

Observation af7b2b3e-9f6b-4903-9143-83e1985fd7f4 · inbound

From Forgeries to Foundation Models: A Systematic Survey of Identity Document Attack and Detection cites this paper.

From Forgeries to Foundation Models: A Systematic Survey of Identity Document Attack and Detection Can Foundation Models Generalise the Presentation Attack Detection Capabilities on ID Cards?

Reference 87

Resolution
verified exact
arxiv_id, observed 2026-07-03T20:08:55.131206Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-07-03T20:02:56.057102Z digest=sha256:ef97bd08ff97a2c4550dadf99d06bd515e61d97a087f5a24be9dcb9d41378902