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Paper Citation Record · LEDGER

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

As of 9 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 2026-08-09T06:31:02.800959+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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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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T10:29:43.682931Z digest=sha256:a49d0c490493f7cc7a396e8fdc216964949419ae6148b66feac603f6abae72b0

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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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:c4ec08c1ddf1740f88861962f6e6b5bae156c26b6af3a3608a4255586baa0e01

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T10:29:43.704829Z digest=sha256:c4bc74cb966f874b9825622ff95fbcabec5033d435dd83d790adcf16df08c916

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T10:29:43.716350Z digest=sha256:59a20844d79be6535aa3d3213ce46c1c9b2876bcfe82c701a5e9f86b3dffce22

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T10:29:43.725479Z digest=sha256:a7763d32649024175f17a15fde2396844a41490d2d3fff7851ffd11351a240fa

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T10:29:43.740546Z digest=sha256:a18fc489a8cde2f899b4026fe0571da2294e282df7d5da1cdb468770d0436cd7

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T10:29:43.751659Z digest=sha256:8ec8488552ad222e4a54cf6783e5ac462406cb0a9538eccd3d5f832868a95f0e

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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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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T10:29:43.762735Z digest=sha256:ed74bf539ebde92135f3b379f1f588a5d49a7f1f7f61580a16bb3f2bdee9d582

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T10:29:43.772699Z digest=sha256:545e047c74b52082e8c0d802173aa3917691eb86c6953d80675db8bf8c570a81

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T10:29:43.785405Z digest=sha256:c591c283046fa635ce75ce5f5d8c0ae157d78973d3200ea13f4838db89069199

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T10:29:43.802766Z digest=sha256:af3151476e3efe3ba5e65accde5a0032e99ee0be67e35f1eecf2d8035b809bee

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T10:29:43.821831Z digest=sha256:3ba5428371a0ed30435a1286d460964d1c4b7bdff1ec93688dec12761b4d6e53

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T10:29:43.827670Z digest=sha256:2c4ccab48bdaae2afaff2b7cf130c9a03f39bd58549ca77005c2891d1a3c92be

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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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:b68b8e851636de6403bd249f34acdd0de4a054c3d15da9e83b1b492642a330f6

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T10:29:43.846866Z digest=sha256:26b913bd6c7c5e5e4678f53fc4856a830bd67095581576ad74bc617381a48d80

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T10:29:43.858054Z digest=sha256:a9413e62f76de745f588a8ef3ee3bbbd9dfdfe8ecba4585a03bfb1ef7d28029e

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T10:29:43.869634Z digest=sha256:a6ae60c078d4437deae186c24ce7722b33478f1867caae0cdf840809ceb3cd2f

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T10:29:43.876271Z digest=sha256:f50bc9582c73789a8257cc65726fcede3f4f85ad024d2e5198a87ee86240ec2c

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T10:29:43.882742Z digest=sha256:f6d25c0afd3ba09efa195fa4636dccadf61bf3a3a955f36d4b9b8f2badc7db9c

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:d2133e8ae617b16b57039de5d06badea18864081cdad0bde2a161a3678517fad

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T10:29:43.894758Z digest=sha256:4f25dffbb2eb04b05c15c6c23257f8a0af9c6837796611dd4191330ece8c7d3f

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

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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=sha256:2eaf761aacd380a0522a79f61617d09b123240510ef10d53191dad533d9bec76

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T10:29:43.909923Z digest=sha256:7a68acafce05e6fb19a9ed73b8c5b33c9826179070e3832898cdcf12a70d6b90

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T10:29:43.915623Z digest=sha256:3aef984ddaf6929adbb090ec75aeaa60262628bc0245744ade675cda04233ee2

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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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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T10:29:43.923470Z digest=sha256:98521f3ee9df9d6a01a3f7731c592d10e609d6291c196a37ca5bc214b48741cf

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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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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T10:29:43.931471Z digest=sha256:5cee8da1909507ac4c21942d562cd7a252698e9787fed060495f27f5339f18ee

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

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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:f1862010bedb25e5d4dceb3a2fbade602eca48272557a61778b6dead991ba71c

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T10:29:43.946285Z digest=sha256:efad87e5e62f7a1e6fcbc6fc8f784f00207f1eccca4f363f0582005325528397

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

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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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T10:29:43.953903Z digest=sha256:f827fe659a682fc90dd2d5c3809df6f038e21eed4f0aa4e1cc0ab279b003d3ba

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T10:29:43.961577Z digest=sha256:4129a6726bcef475d35d243664004c2080860b7e98cb09418b92c45a714d4940

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T10:29:43.967279Z digest=sha256:e80b892e3d24f85cd9beb49e774a8ab50d11623cc1b62c5076518654939f8e50

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T10:29:43.973486Z digest=sha256:895c96ea48fd78ddd1841ee53fcce39bde557c040be2ca84486983965b768a70

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

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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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T10:29:43.981180Z digest=sha256:e3b3d6c766ae37008e55f49f6530de6a671174c9decf5225c0f3f3ab90175dfc

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

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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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T10:29:43.988668Z digest=sha256:60969283706acb76ddcfc79b9125cff80d34a3210f3518a36ef538b28b374100

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T10:29:43.997937Z digest=sha256:ed4e6622a13ea0bdea328cf7a151b34435f6ea34a9e6fbf8f3865fa313308fd1

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T10:29:44.006287Z digest=sha256:d62aaafbe0bba70610d77a15a46ce6370f23d61fce77b53fbe678cd36231d44d

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=sha256:6f52ef11c8fcbf48fccbb082ea6eee7f7883c5cd2e32f38ba73589a748b1f746

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T10:29:44.022238Z digest=sha256:8195a27c0f14999172eb316c8f386e0dfc4cce50050d15991b7444f0278ed5c7

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-27T22:15:46.443207Z digest=sha256:911cd338cdc40618edf2142b7e119d2170740da7094362193140aba713cbc625

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-03T20:02:56.057102Z digest=sha256:4c2e55044c3cdb51596788b5c4e680e9743754e137115ef4308bc2088cb6f202