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Paper Citation Record · LEDGER

Counterfeit Answers: Adversarial Forgery against OCR-Free Document Visual Question Answering

As of 23 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 0 inbound Pith citation observations for arXiv:2512.04554.

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

pith.paper-citation-record.v1
2512.04554 v2

Coverage vector

measured 23 of 23 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T18:37:51.388667Z

measured 23 of 23 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

23 of 23 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved23
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 14d836b5-fd69-44da-929f-dff6fc0b3669 · outbound

This paper cites Docvqa: A dataset for vqa on document images,.

Counterfeit Answers: Adversarial Forgery against OCR-Free Document Visual Question Answering Docvqa: A dataset for vqa on document images,

Reference 1

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no resolver link, observed 2026-08-03T18:37:51.280952Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T18:37:51.280952Z digest=sha256:8dc9ee5b287ae33663a7a1e1c991e2cedeb24b54048385299969922a55afafdc

Observation 214d1ff8-1a21-4b16-8b4f-0065be2c91a7 · outbound

This paper cites Pix2struct: screenshot parsing as pretraining for visual language understanding,.

Counterfeit Answers: Adversarial Forgery against OCR-Free Document Visual Question Answering Pix2struct: screenshot parsing as pretraining for visual language understanding,

Reference 2

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T18:37:51.286936Z digest=sha256:e1aa50cfdf84e3efd274fcdae1bb81af438642cf553d8968df291f0c2bd55e90

Observation 03ca0449-c02f-4df3-b3dd-d1dd02c1eb6c · outbound

This paper cites Ocr-free document understanding transformer,.

Counterfeit Answers: Adversarial Forgery against OCR-Free Document Visual Question Answering Ocr-free document understanding transformer,

Reference 3

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no resolver link, observed 2026-08-03T18:37:51.291527Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T18:37:51.291527Z digest=sha256:26de16618e8fd15042d4cd039e49e25f7c33ad88a4a403126422b13885cde4a1

Observation e386c4ce-98bb-4d13-b1b0-cc2de03eba10 · outbound

This paper cites Evasion attacks against machine learning at test time,.

Counterfeit Answers: Adversarial Forgery against OCR-Free Document Visual Question Answering Evasion attacks against machine learning at test time,

Reference 4

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T18:37:51.295980Z digest=sha256:0a043f6dfb2a7a58e896aff109031d1e8cbab821b6cc9aae48f1ab00fe07f0a3

Observation f69f1149-0f4e-415c-a7d1-74ec025cca81 · outbound

This paper cites Intriguing properties of neural networks,.

Counterfeit Answers: Adversarial Forgery against OCR-Free Document Visual Question Answering Intriguing properties of neural networks,

Reference 5

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T18:37:51.300723Z digest=sha256:513dc78ec5ce5bab81ef877d2ff0a2c77ba9c153a8c585c3a76851583dc1e26c

Observation 15dddbde-fd1f-4d0c-aeaf-2626f715b26d · outbound

This paper cites Scene text visual question answering,.

Counterfeit Answers: Adversarial Forgery against OCR-Free Document Visual Question Answering Scene text visual question answering,

Reference 6

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no resolver link, observed 2026-08-03T18:37:51.305632Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T18:37:51.305632Z digest=sha256:eeab77a2a44b34376b7332347ca634d33199d4a31224a3f7adfc42b6fcf1d863

Observation 55051fe0-dfb5-4ac4-830d-cdb42ed35765 · outbound

This paper cites Wild patterns: ten years after the rise of adversarial machine learning,.

Counterfeit Answers: Adversarial Forgery against OCR-Free Document Visual Question Answering Wild patterns: ten years after the rise of adversarial machine learning,

Reference 7

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no resolver link, observed 2026-08-03T18:37:51.311060Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T18:37:51.311060Z digest=sha256:ee087b98a1fc7e79fdf8d23cb7450d2409f6e48e74ee0b7b0a2773639b1467bf

Observation ed5b5170-4fcb-469e-a9f4-cc3d7f5b9d16 · outbound

This paper cites Adversarial Patch.

Counterfeit Answers: Adversarial Forgery against OCR-Free Document Visual Question Answering Adversarial Patch

Reference 8

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no resolver link, observed 2026-08-03T18:37:51.315993Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T18:37:51.315993Z digest=sha256:a3278cb5f05e061967ddf3035506f48765e07bb2af659fad15eba4af7442c240

Observation 82780bc1-d6f9-46f2-be4b-0f5222c568c4 · outbound

This paper cites an unresolved cited work.

Counterfeit Answers: Adversarial Forgery against OCR-Free Document Visual Question Answering Unresolved cited work

Reference 9

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source=pdf_text observed=2026-08-03T18:37:51.321453Z digest=sha256:aa83cb996167a4a2a4858dc19292385840b7bae6c07f50ff55822b0bdb4c2acd

Observation 16c4f7ac-8ad0-4340-be10-ab948a5664d8 · outbound

This paper cites Towards deep learning models resistant to adversarial attacks,.

Counterfeit Answers: Adversarial Forgery against OCR-Free Document Visual Question Answering Towards deep learning models resistant to adversarial attacks,

Reference 10

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T18:37:51.325865Z digest=sha256:fd5d6b2e5a4b9bcad8b1a5bc4851f1da223ab275ae16c5acd6778b7facede8b3

Observation 27c089bb-8082-4e17-8c1c-9d61ba310fbc · outbound

This paper cites Boosting adversarial attacks with momentum,.

Counterfeit Answers: Adversarial Forgery against OCR-Free Document Visual Question Answering Boosting adversarial attacks with momentum,

Reference 11

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T18:37:51.330452Z digest=sha256:4e080d292d1b3b4f63d6b2fa37589cfac4c25029101058c58f7d86e64bb36012

Observation 975baba0-49e2-48ca-ad61-28de3c544764 · outbound

This paper cites Seeing is not believing: Camouflage attacks on image scaling algorithms,.

Counterfeit Answers: Adversarial Forgery against OCR-Free Document Visual Question Answering Seeing is not believing: Camouflage attacks on image scaling algorithms,

Reference 12

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T18:37:51.334838Z digest=sha256:a0ded4fd248d8db8eb86708fe87a09b3fde251ff4def4180952b4b66ac4dba9f

Observation cabef7c4-0b55-404b-b2b1-f23156cc4619 · outbound

This paper cites Privacy- aware document visual question answering,.

Counterfeit Answers: Adversarial Forgery against OCR-Free Document Visual Question Answering Privacy- aware document visual question answering,

Reference 13

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T18:37:51.339507Z digest=sha256:80dfc9cfbc2bd38dfc7bde75f504f05f928588507f1ff274366c83659d14869d

Observation 9b181abd-3f7f-484e-a87c-a4d7ed9ea2e1 · outbound

This paper cites Infographicvqa,.

Counterfeit Answers: Adversarial Forgery against OCR-Free Document Visual Question Answering Infographicvqa,

Reference 14

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no resolver link, observed 2026-08-03T18:37:51.343789Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T18:37:51.343789Z digest=sha256:0dad4e45a2a01c3b8d2de29ed9e3f57826cdec2f90b40bf7366e26cd6e80e42c

Observation 8bd4a65c-b355-4762-b323-9aae35e0fc65 · outbound

This paper cites Not what you’ve signed up for: Compromising real- world llm-integrated applications with indirect prompt injection,.

Counterfeit Answers: Adversarial Forgery against OCR-Free Document Visual Question Answering Not what you’ve signed up for: Compromising real- world llm-integrated applications with indirect prompt injection,

Reference 15

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T18:37:51.348433Z digest=sha256:2dfc746d0313724b604e8866bf1c308f437a7cb49fa69aeea85417bce602e1eb

Observation a5243e7e-9c77-41d7-9026-6eb6843d2050 · outbound

This paper cites Fooling OCR Systems with Adversarial Text Images.

Counterfeit Answers: Adversarial Forgery against OCR-Free Document Visual Question Answering Fooling OCR Systems with Adversarial Text Images

Reference 16

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no resolver link, observed 2026-08-03T18:37:51.353057Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T18:37:51.353057Z digest=sha256:477926f885f4b72e6cf77b53920e052c8965c4a9a785af45dcf9ec6be613e979

Observation 52a224cc-826e-456b-9d69-d40c71ec47af · outbound

This paper cites Adversarial preprocessing: Understanding and preventing Image-Scaling attacks in machine learning,.

Counterfeit Answers: Adversarial Forgery against OCR-Free Document Visual Question Answering Adversarial preprocessing: Understanding and preventing Image-Scaling attacks in machine learning,

Reference 17

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T18:37:51.357818Z digest=sha256:690aa8867eb9f6c55d07f470c275326f4a9fd047e2d60deb12ff48edac7f33d1

Observation 7e67e12b-2b39-47ed-acd7-44d8e7e583f3 · outbound

This paper cites Image hijacks: Adversarial images can control generative models at runtime,.

Counterfeit Answers: Adversarial Forgery against OCR-Free Document Visual Question Answering Image hijacks: Adversarial images can control generative models at runtime,

Reference 18

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source=pdf_text observed=2026-08-03T18:37:51.363008Z digest=sha256:c6870dc88552ff4680ea735eb2676045bfb85bcd1a9e7c50f2f7c9dd5cd7d253

Observation b7feedf5-5323-458f-a833-239761482895 · outbound

This paper cites On the robustness of large multimodal models against image adversarial attacks,.

Counterfeit Answers: Adversarial Forgery against OCR-Free Document Visual Question Answering On the robustness of large multimodal models against image adversarial attacks,

Reference 19

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T18:37:51.367885Z digest=sha256:45407c7d847cc74bb56cbd8ed648ac665da253feccea677d3a65368c08e8b63f

Observation 3f85f24a-b911-4774-877d-f63bc12733f5 · outbound

This paper cites On the adversarial robustness of multi-modal foundation models,.

Counterfeit Answers: Adversarial Forgery against OCR-Free Document Visual Question Answering On the adversarial robustness of multi-modal foundation models,

Reference 20

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T18:37:51.372604Z digest=sha256:da59b9c32d8400770bb782632aeb2a4c539bad472b7554be0b1fb2f615132e21

Observation 48f27704-d29c-40ec-a2b7-49ed3ec27dae · outbound

This paper cites Docmia: Document-level membership inference attacks against docvqa models,.

Counterfeit Answers: Adversarial Forgery against OCR-Free Document Visual Question Answering Docmia: Document-level membership inference attacks against docvqa models,

Reference 21

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T18:37:51.377813Z digest=sha256:3253bf122283e5b5a4f25eb279ccf619405a0278023d4aa600e571a0b4bffc13

Observation 9ae95ebc-c1ff-4d12-b394-eaa61c3d3647 · outbound

This paper cites Universal and Transferable Adversarial Attacks on Aligned Language Models.

Counterfeit Answers: Adversarial Forgery against OCR-Free Document Visual Question Answering Universal and Transferable Adversarial Attacks on Aligned Language Models

Reference 22

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T18:37:51.383186Z digest=sha256:6816c618b78e4305e93316468c818d7706b73b20ffb7b0fc4161246690924920

Observation b47debdf-49d3-4da7-a8f8-fe1e44df0f81 · outbound

This paper cites Are aligned neural networks adversarially aligned?.

Counterfeit Answers: Adversarial Forgery against OCR-Free Document Visual Question Answering Are aligned neural networks adversarially aligned?

Reference 23

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T18:37:51.388667Z digest=sha256:da9a19adaa630069e47d91a6933afdac6d77703b06cc066ca5b7851dd896b720

Pith citing papers

No inbound Pith citation observations are available.