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

source=pdf_text observed=2026-08-07T10:29:43.682931Z digest=sha256:b19edd0ac848598ac234ce2d6c3ad66921dd759468fa1eeea6292952ebea8c57

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=sha256:2a540d671a58d8f663810e71e5518332db2c80fea47ef6a9100fd6768fae07af

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=sha256:7ed8f710ccb1b4eb10b9c998ee6a9cefb92cf42af7dd1c4cb1674c02b3dead62

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=sha256:5dc22232f33ba347cebc849b3a7c11dd05002886a8e9d74ef8bd88c9fe33d67e

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=sha256:8f2edc4a03a3733b3a39c00e54eb27b1072c6ff25a2695f9c649deffe24b623e

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=sha256:8680aa52285490aee8699d2862a9e9b7ed06d2abdf01cfaa1cf79ce949b085cc

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=sha256:91ab4ae1b09232725ce477b8531cd9dd84ec880fddfb587f684fe5a05e7a1a6c

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:b1cd24715c6344ffb47b141b8b109063aa1375c2a42ca6775e9ba42558d56d85

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=sha256:1ada77d8f96ad4f34b97e4fe7767e89b0463a4ab631d3ee70ee2cf97e6b0cfc6

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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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=sha256:45d305afb36a6c5352084dbf82c88e314907d2368d0bf0172ab80060e73ee5cc

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=sha256:2e9066ff1800c94b38825f441f4bc854e66899744e2b6d79877661536242a2ed

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=sha256:96e68fbda41e956771a641658e845f11cfe17040e01292a7f924e56d7777684c

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=sha256:94009d523b65c14d9a6f50342774c9f3dab3f1af5f21f4c504093ffc0fc417a3

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:d81f67908a9f57aa285334fff0136459da3836c90adf6b88463deaa2f06c7ce7

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=sha256:353e9fe04b4b6f3e2fc7b3443cae7198a6d4b74a46293b83c3f320af8a8398e6

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=sha256:8788b1a271f845685971e7d97ac0255852b1851d5285827ee7b8ce643f03f457

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=sha256:3cad3e8553e66f4982e0273ed6f3c8fef8dee21156c683272123b54bae0521d9

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

source=pdf_text observed=2026-08-07T10:29:43.876271Z digest=sha256:9357a28d5ad420c214a4f47d8664beb5adbf3d38498a2a296bbffab694672301

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:e491da25b200b78123a01ba6679b4d5a629c08e6e42a1e8dd58df2602f4dc09e

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:a794102c60f33d031de06822928e758c9bfca87ab92b8102d02802d2e3f69605

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

source=pdf_text observed=2026-08-07T10:29:43.894758Z digest=sha256:35ea3bb468aab198a7b11056b41ad116ca6b354391f88f23e8c155e9beade303

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:c1ac566f940e03743dd6a4cde65cca310e7061d3bd85e86ccd5979a9c367137f

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=sha256:6015644a338f24b0da755412e39fc66baffb8169adbb6aaf5e977d83b4bcc5f1

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=sha256:47330794279061301e230c14a273b361457527a81043a29c17659c0146e0f5bb

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=sha256:0ee8c93d58421234cbc9893f2ddf32f8e7fed40b58bf6611239f384973766cc8

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=sha256:49311b694619efb71732ea59b65807c691c8480fbdf666188865f8ed3d9f20f3

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=sha256:27af5fa22077aa4b58b9ba85102a203dc55118a564d42c4b0f5e3093d257b221

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:daea6db24332f09071ce7c15538f723f7f2dc164a3055771964428d8fdadf133

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=sha256:017adc73698a2c38edb09ad1708b3593eceed9b365593ab530806e75da841a88

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=sha256:49c87080dc5f97fbbb65440330ae0b40ea1c9e145f2a19e41a52edfecf9c929c

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:cd75f3a2a893694741fd941c0ac63e88e8df81c00a7832e119d454f1e70c610b

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=sha256:7cd5785b8e3523066d8c466edd740e3cee7a2a79aa663c0b22f012c3d59f700f

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=sha256:5d904ab101cd6026eef4ab015d2a093edfde5cf592934d7a8d8e9b5677ce3ed2

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:f93df6ed71bd2d10b9f03ca1b4f5147b21f9a2e67c7eb916e2f6c2f92608869a

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=sha256:9fa5266a8afd6c19c675cabceac231532c3efcff93ce1821c717430066b1630d

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:e19197cd114dd19554f2047588f09d99bc3c78cd8b6acc08da5a268b8574fbfa

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=sha256:9a77d3e89848ddf58798788a486e6e21ba790f20358c6b915b1eecbfb3a5f25d

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=sha256:68363a9a67021b827ab1beac90461119dd5cf7a833df74191548e9ceaa82cdb1

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=sha256:73030f89dba3aa377fd99e49873e71e9a31a0823601fa9bde428493700c8f9c3

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=sha256:3874f8c1655473154ca6cf96157852c5dc773f28feaa81defc7ec4ec73be74eb