Pith. sign in

Paper Citation Record · LEDGER

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

As of 10 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 2026-08-10T06:31:04.303077+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

Resolution
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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T10:29:43.682931Z digest=sha256:44b6474ad7f5fc0d191c988219be2cfab7dbb00e56352d63d84fb041d9bc364d

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

Resolution
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=sha256:44e1f209cb70be51bfdb5f79cb0b789ba4cc0f7a95ace2762c7ded5babdf6c57

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

Resolution
verified fuzzy
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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T10:29:43.704829Z digest=sha256:4268298100bc66f715bfc58cce5f4529b91f7b37d5e9964de794c24b10289fd0

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

Resolution
verified fuzzy
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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T10:29:43.716350Z digest=sha256:edb750b4badef2ae50541aea60b43a26bf4c2cfe74332eafdb49b474ccacaf8f

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

Resolution
verified fuzzy
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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T10:29:43.725479Z digest=sha256:45286904ac8bfaa471fc2f27401cf1771cf40b3c20f8a5dc8c0f9cb72076a9b6

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

Resolution
verified fuzzy
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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T10:29:43.740546Z digest=sha256:844337337cbb8b0e12995f2efcd21d6db6f1bc4bc3a3389545e9a474b0d9720d

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

Resolution
verified fuzzy
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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T10:29:43.751659Z digest=sha256:d0e163a22867471b374cd9567e310e78b8997efc1bc0f35a4f0b45d57f2daba2

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

Resolution
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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T10:29:43.762735Z digest=sha256:c5fbbf0ef3df4929eb4cc825aae0550ff5855dc749be74144c3fc0c48d1c3157

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

Resolution
verified fuzzy
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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T10:29:43.772699Z digest=sha256:ae3652f0405fa9dca97ec5663a6c27444f9fce15f6f772e1e63a67749e7ee944

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

Resolution
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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T10:29:43.785405Z digest=sha256:364c9ee1ec0912f9ef0d4a33b2c76bde4e31d87dce75d1075318be5b325d819b

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

Resolution
verified fuzzy
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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T10:29:43.802766Z digest=sha256:ff8b00751270340e27e1477b3b4b109c43d5084a4dc108e24da1bf8c4aef047e

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

Resolution
verified fuzzy
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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T10:29:43.821831Z digest=sha256:30973f711e6abc001959d38f28780f12cc2ec205f274a404ee551e5b8c801412

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

Resolution
verified fuzzy
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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T10:29:43.827670Z digest=sha256:19e15d075398edbbfbbe8adc29eacdb97a76261ced9925473b74d57e97e4e598

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

Resolution
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=sha256:8434120956c5e631d485921d87601d995050a102c43c5ecca00dbeb74fe7953b

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

Resolution
verified fuzzy
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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T10:29:43.846866Z digest=sha256:984d8ca002f0c78f29852de7ca8e85f95370dffda6857458cc8a7aeb1f1e40b6

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

Resolution
verified fuzzy
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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T10:29:43.858054Z digest=sha256:ccf33668496c261d9ee486f6f0381af071f95ae75b3a4822c7dae714bbe59df9

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

Resolution
verified fuzzy
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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T10:29:43.869634Z digest=sha256:b7a9af67c8bdf6efca1f4e6744a6416b92beb4691d8e92087aeeb466e48c0f8a

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

Resolution
verified fuzzy
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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T10:29:43.876271Z digest=sha256:69185deb9a0723fa1b8a87134d8c11b2fd8fadf50a69e798c0afcceec1d08865

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

Resolution
verified fuzzy
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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T10:29:43.882742Z digest=sha256:6b14fa4893291495a658a09f43fd44858bea3a7257ae22c045d3e3c6f129b68e

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

Resolution
unresolved
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:fcf4fa653ad92be95d171ca6ac1b7b81646acd7c79fa51e990c9c43625736fc1

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

Resolution
verified fuzzy
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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T10:29:43.894758Z digest=sha256:b04c5d54944deef09396960f3206867ba765e03f0fbf95a7d1426126d6d25996

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:da9ce3b6f399cf802f93aa910becbc0d35152be494f85e6a8ba1fdea8a415ec3

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

Resolution
verified fuzzy
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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T10:29:43.909923Z digest=sha256:c558849940d89e4d52409083f297abe73c3868d6990faf7b9703479cde3fab8a

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

Resolution
verified fuzzy
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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T10:29:43.915623Z digest=sha256:3b8af73991af6d5607c58e76d542000b7c6797c81a626207fa4f0a4c1965114e

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

Resolution
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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T10:29:43.923470Z digest=sha256:1f26e5401b96e7571af9588f97abded065de6adf0ffd4d7174b5a9c1f56bf1bf

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

Resolution
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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T10:29:43.931471Z digest=sha256:bd20ce815f35271a300c73fa20a85373b09779392def93a0d13c29772f182c5a

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:cfffe5121e4a5b42d83c5bc63cf1c8ab29f5eb630a5127137a75eab00601a67d

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

Resolution
verified fuzzy
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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T10:29:43.946285Z digest=sha256:2558f2429e82d86160d60d20376dc97c05fcd6f44f806c373805478bd57e6390

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T10:29:43.953903Z digest=sha256:d8d1804536695342a03f1421513151fd441a777a9bf2ae49b1f449b3e1d3ea4f

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

Resolution
verified fuzzy
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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T10:29:43.961577Z digest=sha256:7f3dc0d0ffcc1e8c1f728895a8ca4d00dacc6c21a06bdc45d4875531da5446a0

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

Resolution
verified fuzzy
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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T10:29:43.967279Z digest=sha256:8dc7116404d0bfefb129ee383748adf5412ce6cf07f93a5d2f83138dfb5d81ba

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

Resolution
verified fuzzy
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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T10:29:43.973486Z digest=sha256:e9efc4f806c91be05fde2f99c804bc3ba0a9b2abfeeb7e23d8b27897bb09f4bb

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T10:29:43.981180Z digest=sha256:48e55b445efe011166381128e679e68e8732d56f79bdc3c678e399600b28cd9f

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T10:29:43.988668Z digest=sha256:836342a6e9d7d8d5b52b6bcadd22fde16b351f2b66b38fb80d90d96c4b990b83

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T10:29:43.997937Z digest=sha256:a04a9cf1da56555238629719916ad7c13a7a479e6d52c4f7a7d3c2ae02a9733a

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T10:29:44.006287Z digest=sha256:00e1ae9df7abf3e1249c8bca4359e1c00558a9962c5923cfdaf3c729edf6cbf1

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=sha256:53bad22cf5e9b803a72a8bbfbfa776910418d655eb81e00fab61587622af6ab1

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T10:29:44.022238Z digest=sha256:4f640417d5b709482603bf6e97b98cccfa476f9f4fb98246c585bb9032ea7ca6

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-27T22:15:46.443207Z digest=sha256:112f208337d0d7e0f166b69e016dd65bf2a1dcf21d7ab45334a08d9d41448ef7

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-03T20:02:56.057102Z digest=sha256:82511b9b25f7f29bc857b581d34eb89e2e743916539c4b392abb33422ce3c1b5