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Paper Citation Record · LEDGER

AI-generated Images Challenge Visual Trust in High-risk Scenarios

As of 23 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 0 inbound Pith citation observations for arXiv:2607.22745.

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

pith.paper-citation-record.v1
2607.22745 v1

Coverage vector

measured 44 of 44 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T08:52:48.443971Z

measured 44 of 44 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

44 of 44 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved43
  • parse uncertain1
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation dc3e0d64-3111-4eb3-89da-94afd4ff96d2 · outbound

This paper cites an unresolved cited work.

AI-generated Images Challenge Visual Trust in High-risk Scenarios Unresolved cited work

Reference 1

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source=arxiv_source observed=2026-08-01T08:52:43.196897Z digest=sha256:97fa9a5213bd13d85bf501be2498435cfe54a733ca68a1c1874a773d2450dabb

Observation f7617a8d-868e-4ea1-83ee-bee05f76f5a1 · outbound

This paper cites Large Scale.

AI-generated Images Challenge Visual Trust in High-risk Scenarios Large Scale

Reference 2

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source=arxiv_source observed=2026-08-01T08:52:43.307076Z digest=sha256:14f28cd39d62a4641a22c1e88d70498a0f7be5722ea0182f313dcab6167aa945

Observation df5b0a52-432e-406c-86f0-88d60646893f · outbound

This paper cites Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages =.

AI-generated Images Challenge Visual Trust in High-risk Scenarios Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages =

Reference 3

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source=arxiv_source observed=2026-08-01T08:52:43.442632Z digest=sha256:004cf9148cabb3a0062731fed891a09355976ec32709a3082c5baa79c65e9a37

Observation 2d773418-850c-44e4-a370-f935ae0265f3 · outbound

This paper cites Advances in Neural Information Processing Systems , volume =.

AI-generated Images Challenge Visual Trust in High-risk Scenarios Advances in Neural Information Processing Systems , volume =

Reference 4

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source=arxiv_source observed=2026-08-01T08:52:43.584035Z digest=sha256:9bdd13e7ab96fb6712c2e340ad2f838912a13c8036d77a352435a986f1fe49ec

Observation 39e07cd8-d2ed-429a-b511-a09a680170c6 · outbound

This paper cites Diffusion Models Beat.

AI-generated Images Challenge Visual Trust in High-risk Scenarios Diffusion Models Beat

Reference 5

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source=arxiv_source observed=2026-08-01T08:52:43.721005Z digest=sha256:b60cd91cf56b5a7a814a9b084b23804711d96c155f3cf660af347558563f1636

Observation 2fce7c62-9da7-4ade-b7fc-d4588e7f3cf6 · outbound

This paper cites GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models.

AI-generated Images Challenge Visual Trust in High-risk Scenarios GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models

Reference 6

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source=arxiv_source observed=2026-08-01T08:52:43.841645Z digest=sha256:434e0ab946ce0629feb48e59bf36145657e721295923ecb87bec2c663159db45

Observation 9bdd87ef-f1e2-4ed8-8cde-740fed45b906 · outbound

This paper cites Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages =.

AI-generated Images Challenge Visual Trust in High-risk Scenarios Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages =

Reference 7

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Observation 169efc0e-0fb3-4738-82c5-315f8fcad741 · outbound

This paper cites Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages =.

AI-generated Images Challenge Visual Trust in High-risk Scenarios Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages =

Reference 8

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source=arxiv_source observed=2026-08-01T08:52:44.031534Z digest=sha256:acd85ee1dc055adf1af96138c438faf9e76a5deee24b3f98ea120bd568a9a4ea

Observation e5d26d20-ed10-4ffd-b108-3708d561bcb8 · outbound

This paper cites Advances in Neural Information Processing Systems , pages =.

AI-generated Images Challenge Visual Trust in High-risk Scenarios Advances in Neural Information Processing Systems , pages =

Reference 9

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source=arxiv_source observed=2026-08-01T08:52:44.121010Z digest=sha256:8947ec6d9d660cfa86936fee98fc906ed3446097db9fd6b0b3b3b45ac3504629

Observation ea5ddb6d-8cea-47ac-ad34-0cb4c54015be · outbound

This paper cites Proceedings of the IEEE/CVF International Conference on Computer Vision , pages =.

AI-generated Images Challenge Visual Trust in High-risk Scenarios Proceedings of the IEEE/CVF International Conference on Computer Vision , pages =

Reference 10

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source=arxiv_source observed=2026-08-01T08:52:44.222606Z digest=sha256:90609e515f8b18859ae68179e96983a4a6eaea003291ea4237bb69dd70198e36

Observation ecf746a5-2c5b-438e-a4ea-87aab07326fa · outbound

This paper cites AnyText: Multilingual Visual Text Generation And Editing.

AI-generated Images Challenge Visual Trust in High-risk Scenarios AnyText: Multilingual Visual Text Generation And Editing

Reference 11

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source=arxiv_source observed=2026-08-01T08:52:44.332094Z digest=sha256:744e08958b31727a3ae9278f2555a51561f842062556bf733b7eb499ebddc278

Observation 638d6e87-8709-416f-a851-d035f9ce0626 · outbound

This paper cites Neural Computing and Applications , volume=.

AI-generated Images Challenge Visual Trust in High-risk Scenarios Neural Computing and Applications , volume=

Reference 12

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source=arxiv_source observed=2026-08-01T08:52:44.445912Z digest=sha256:5f4a566c409fb62d2babeab3e598f36958d3e271447612538f6d110fa4c05860

Observation f9b4b03c-05e4-4934-872c-31e595e35e27 · outbound

This paper cites Proceedings of the 30th annual ACM symposium on user interface software and technology , pages=.

AI-generated Images Challenge Visual Trust in High-risk Scenarios Proceedings of the 30th annual ACM symposium on user interface software and technology , pages=

Reference 13

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source=arxiv_source observed=2026-08-01T08:52:44.556901Z digest=sha256:7ff0d200efb20a067c17ae4c1f2aebc2a4372569fbfa016cee776534cb46a0f0

Observation 72097a27-1519-433d-ade6-d4797b0fdc45 · outbound

This paper cites Spatial Dual-Modality Graph Reasoning for Key Information Extraction.

AI-generated Images Challenge Visual Trust in High-risk Scenarios Spatial Dual-Modality Graph Reasoning for Key Information Extraction

Reference 14

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source=arxiv_source observed=2026-08-01T08:52:44.665708Z digest=sha256:ce5c84b395cddf53f1515c4b6dbcdffddd53425df057e27deda24b44f89d8c5a

Observation 0030ed07-a03a-46e9-b5fb-10ebed6d381c · outbound

This paper cites California Law Review , volume =.

AI-generated Images Challenge Visual Trust in High-risk Scenarios California Law Review , volume =

Reference 15

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source=arxiv_source observed=2026-08-01T08:52:44.745031Z digest=sha256:66e19db14e5a93330ed14db656734f6acd0d9f931a9fa47e037a504397063cf5

Observation 43c0302d-4158-4304-85a0-aeeda5b635dc · outbound

This paper cites Social Media + Society , volume =.

AI-generated Images Challenge Visual Trust in High-risk Scenarios Social Media + Society , volume =

Reference 16

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source=arxiv_source observed=2026-08-01T08:52:44.812829Z digest=sha256:9ed8f1d724671c1a8f425a03bfa32365e2a8623a5bc12aaad38432fa90c6c227

Observation 3e19e61f-d7da-4b62-82eb-aa02bed1fb78 · outbound

This paper cites and Farid, Hany , journal =.

AI-generated Images Challenge Visual Trust in High-risk Scenarios and Farid, Hany , journal =

Reference 17

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source=arxiv_source observed=2026-08-01T08:52:44.881491Z digest=sha256:62dd9f444e779a32dbe7d4ecfb24ea0a2dd5b8437d08e8c3a2ae6462ddc5f269

Observation 01315c71-6fef-4c1d-9195-4753fc0f55fa · outbound

This paper cites , booktitle =.

AI-generated Images Challenge Visual Trust in High-risk Scenarios , booktitle =

Reference 18

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source=arxiv_source observed=2026-08-01T08:52:44.986468Z digest=sha256:0d827fd3ccda793f9d16f88089c21f9b2287e2b29811ab158c33ef2880f04bac

Observation ece76a65-369d-4bb4-9d86-b39b06208b78 · outbound

This paper cites Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages =.

AI-generated Images Challenge Visual Trust in High-risk Scenarios Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages =

Reference 19

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source=arxiv_source observed=2026-08-01T08:52:45.082572Z digest=sha256:fc056972c13c0017fb92005503e33dfeac35980f8b558c4c56bcab36aa425182

Observation 4cb89e94-5920-4ddc-a004-a2e0107075f4 · outbound

This paper cites DE-FAKE: Detection and Attribution of Fake Images Generated by Text-to-Image Generation Models.

AI-generated Images Challenge Visual Trust in High-risk Scenarios DE-FAKE: Detection and Attribution of Fake Images Generated by Text-to-Image Generation Models

Reference 20

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source=arxiv_source observed=2026-08-01T08:52:45.185980Z digest=sha256:5a97f29e4924a4d1adc0c49dad59f4c23d275dcf5c40b8d275ad5d587ade49fd

Observation 352c36f3-aae8-472c-9808-402d5c9a4f4d · outbound

This paper cites DIRE for Diffusion-Generated Image Detection.

AI-generated Images Challenge Visual Trust in High-risk Scenarios DIRE for Diffusion-Generated Image Detection

Reference 21

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source=arxiv_source observed=2026-08-01T08:52:45.303781Z digest=sha256:7872d7c2960e25c57877b51de46abb8ac0f410c2614d5e17d6758cbf2192a7ab

Observation 6d8ed725-eafc-4b87-abbb-18483f0b539e · outbound

This paper cites GenImage: A Million-Scale Benchmark for Detecting AI-Generated Image.

AI-generated Images Challenge Visual Trust in High-risk Scenarios GenImage: A Million-Scale Benchmark for Detecting AI-Generated Image

Reference 22

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source=arxiv_source observed=2026-08-01T08:52:45.378550Z digest=sha256:218941420b801083b911c49010972b9d30f03ba117ca714a1bf25f1363a3e6cf

Observation 1cce6d40-771a-4772-b00e-5b2be3f95a38 · outbound

This paper cites PatchCraft: Exploring Texture Patch for Efficient AI-generated Image Detection.

AI-generated Images Challenge Visual Trust in High-risk Scenarios PatchCraft: Exploring Texture Patch for Efficient AI-generated Image Detection

Reference 23

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source=arxiv_source observed=2026-08-01T08:52:45.478427Z digest=sha256:1ca27544af92c83757a2d066512e89762b3c63c406e87dce1e9ac3a603dbeffc

Observation 118c5bd5-be7e-46fc-bf92-ba65dd446d20 · outbound

This paper cites Rethinking the Up-Sampling Operations in.

AI-generated Images Challenge Visual Trust in High-risk Scenarios Rethinking the Up-Sampling Operations in

Reference 24

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source=arxiv_source observed=2026-08-01T08:52:45.583857Z digest=sha256:46ea4a4d74ccff001b6e3a901f56177c38e2a7e686b4d874126acf9669191f47

Observation feedb3c9-cfb3-4da7-bc21-e01f8ba25d72 · outbound

This paper cites A Sanity Check for AI-generated Image Detection.

AI-generated Images Challenge Visual Trust in High-risk Scenarios A Sanity Check for AI-generated Image Detection

Reference 25

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source=arxiv_source observed=2026-08-01T08:52:45.694792Z digest=sha256:7731dd5bcac7263edfbd14e78df328e0a48db56f36526d3294ed60ada7c3cdb6

Observation e8ac1dec-07d1-46b4-a6c9-ca123ab634cd · outbound

This paper cites 2024 , eprint =.

AI-generated Images Challenge Visual Trust in High-risk Scenarios 2024 , eprint =

Reference 26

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source=arxiv_source observed=2026-08-01T08:52:45.772944Z digest=sha256:af8ef43cf3061dece7adf6ed6c74ca79fce176cbb9f9e55974e1b328f10c6eb9

Observation 6aba434e-9824-48ef-82e2-608d045886cb · outbound

This paper cites 2504.20865 , archivePrefix =.

AI-generated Images Challenge Visual Trust in High-risk Scenarios 2504.20865 , archivePrefix =

Reference 27

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source=arxiv_source observed=2026-08-01T08:52:45.870242Z digest=sha256:258a8128234bdda2881c2f00b919a7c488b40c49b31bcf2bf3bbeb54686ee2d9

Observation 53de6fca-5a13-491d-b7d9-2e5c9b99c6da · outbound

This paper cites Detecting AI-generated Artwork.

AI-generated Images Challenge Visual Trust in High-risk Scenarios Detecting AI-generated Artwork

Reference 28

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source=arxiv_source observed=2026-08-01T08:52:45.952279Z digest=sha256:111e110147e934139094c18e0e821a52641f83846e59fc90d50d554e1a833af8

Observation 6b04c226-e59e-4517-809f-9f0f215e2e73 · outbound

This paper cites AnimeDL-2M: Million-Scale AI-Generated Anime Image Detection and Localization in Diffusion Era.

AI-generated Images Challenge Visual Trust in High-risk Scenarios AnimeDL-2M: Million-Scale AI-Generated Anime Image Detection and Localization in Diffusion Era

Reference 29

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source=arxiv_source observed=2026-08-01T08:52:46.064599Z digest=sha256:a06622505516d6e794c75195067392a84ada32c46d86ff0c2ef572ea16fa53bd

Observation 991d6adc-3688-40c6-8a5c-21e5b441ffd6 · outbound

This paper cites 2509.19841 , archivePrefix =.

AI-generated Images Challenge Visual Trust in High-risk Scenarios 2509.19841 , archivePrefix =

Reference 30

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source=arxiv_source observed=2026-08-01T08:52:46.250457Z digest=sha256:55e2fd3316de65a7367e844bfb587437b588155fa671ac2b372155d9d71cb624

Observation ee3605fc-46a0-461e-9a35-f2f1eb3179b7 · outbound

This paper cites and Wang, Kai and Yang, Tianyu and Singh, Harsh and Tian, Yapeng , year =.

AI-generated Images Challenge Visual Trust in High-risk Scenarios and Wang, Kai and Yang, Tianyu and Singh, Harsh and Tian, Yapeng , year =

Reference 31

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source=arxiv_source observed=2026-08-01T08:52:46.425333Z digest=sha256:989a9ca0620be5e5c45212fba5fafada71bbe16522ec96b0546b98184e65f727

Observation 7241f4c4-7a1a-4dd3-9fd5-4483aad50c94 · outbound

This paper cites GIM: A Million-scale Benchmark for Generative Image Manipulation Detection and Localization.

AI-generated Images Challenge Visual Trust in High-risk Scenarios GIM: A Million-scale Benchmark for Generative Image Manipulation Detection and Localization

Reference 32

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source=arxiv_source observed=2026-08-01T08:52:46.600883Z digest=sha256:83bc6e9df5ebb903844aab7cfcb51ce922fc17a9289d94222ba5b34cad5bf58b

Observation f91431dc-7bb9-4e00-ada4-42bff4a39a4d · outbound

This paper cites SciFigDetect: A Benchmark for AI-Generated Scientific Figure Detection.

AI-generated Images Challenge Visual Trust in High-risk Scenarios SciFigDetect: A Benchmark for AI-Generated Scientific Figure Detection

Reference 33

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source=arxiv_source observed=2026-08-01T08:52:46.746867Z digest=sha256:dfc573af3f59499d4b92194a9f0f20c0673b29a275e64eb21143024b2bd8f7dd

Observation 44cabe66-17ab-49f5-a5f4-bab7a717cfd3 · outbound

This paper cites 2024 , eprint =.

AI-generated Images Challenge Visual Trust in High-risk Scenarios 2024 , eprint =

Reference 34

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source=arxiv_source observed=2026-08-01T08:52:46.892243Z digest=sha256:fd9a9089f193b5220cacbca0704963f793b9364f830f04b76cd4aa7d267af92e

Observation 4b1322ca-60f7-43af-95db-debf5566edb5 · outbound

This paper cites PixArt-\Sigma: Weak-to-Strong Training of Diffusion Transformer for 4K Text-to-Image Generation.

AI-generated Images Challenge Visual Trust in High-risk Scenarios PixArt-\Sigma: Weak-to-Strong Training of Diffusion Transformer for 4K Text-to-Image Generation

Reference 35

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source=arxiv_source observed=2026-08-01T08:52:47.034867Z digest=sha256:9e998afb59a2598a3b7a9044abc4024ff80ea605b2f6e0899ac7cb82cd120338

Observation 588919a0-9004-4a3e-8723-8417bd00d9a5 · outbound

This paper cites GPT-ImgEval: A Comprehensive Benchmark for Diagnosing GPT4o in Image Generation.

AI-generated Images Challenge Visual Trust in High-risk Scenarios GPT-ImgEval: A Comprehensive Benchmark for Diagnosing GPT4o in Image Generation

Reference 36

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source=arxiv_source observed=2026-08-01T08:52:47.215017Z digest=sha256:7bb489c3d504d9f9e47f97ae5464e45b27623276b4e33115c7267825f50db6d2

Observation 089415a7-d51b-4f27-8f3c-90aa1c8a50ef · outbound

This paper cites An Empirical Study of GPT-4o Image Generation Capabilities.

AI-generated Images Challenge Visual Trust in High-risk Scenarios An Empirical Study of GPT-4o Image Generation Capabilities

Reference 37

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source=arxiv_source observed=2026-08-01T08:52:47.347766Z digest=sha256:5ef02d1cc1a79ea4a4d7008763d3dc2f14428d619987129ff797d695ba09ceca

Observation 24e7bb1f-786a-41bf-8166-db10d37c8983 · outbound

This paper cites an unresolved cited work.

AI-generated Images Challenge Visual Trust in High-risk Scenarios Unresolved cited work

Reference 38

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source=arxiv_source observed=2026-08-01T08:52:47.536966Z digest=sha256:28701750220aaf1a13af03450dbf8c56f3a87489e594c05853f710984f6ac28a

Observation cb30c1b6-b5a9-4de9-8be9-cb49e70b10ee · outbound

This paper cites 2026 , howpublished =.

AI-generated Images Challenge Visual Trust in High-risk Scenarios 2026 , howpublished =

Reference 39

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unresolved
no resolver link, observed 2026-08-01T08:52:47.669476Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T08:52:47.669476Z digest=sha256:05c363f00b46c2c42f51202a27bf8bbb6c9b4acd3b815f11f661555880c82c8f

Observation fb67b9d0-dc95-497e-b6c9-60e04eeff5fa · outbound

This paper cites Qwen3-VL Technical Report.

AI-generated Images Challenge Visual Trust in High-risk Scenarios Qwen3-VL Technical Report

Reference 40

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unresolved
no resolver link, observed 2026-08-01T08:52:47.853471Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T08:52:47.853471Z digest=sha256:784840349f3f962c353f38796c6c281ba0e2b18a75d6b03548f8763c01525058

Observation 156c996b-8a96-4568-8df7-a2d5f3df2cc2 · outbound

This paper cites International Conference on Learning Representations , year =.

AI-generated Images Challenge Visual Trust in High-risk Scenarios International Conference on Learning Representations , year =

Reference 41

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unresolved
no resolver link, observed 2026-08-01T08:52:48.037191Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T08:52:48.037191Z digest=sha256:dda026c3c74d6b55d4f77908acb9855c32e5d3fee0cadb118d3ca3550bb088d0

Observation 22f208cd-c801-431f-b060-d60fd6aa51f2 · outbound

This paper cites International Conference on Learning Representations , year =.

AI-generated Images Challenge Visual Trust in High-risk Scenarios International Conference on Learning Representations , year =

Reference 42

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no resolver link, observed 2026-08-01T08:52:48.177763Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T08:52:48.177763Z digest=sha256:d29f74a8592c1c8fd0cd60edbdd556ead82fe7cba8cc8a2d088959217179a884

Observation 5279705c-8e97-452f-8fd9-4cabb393f830 · outbound

This paper cites International conference on machine learning , pages=.

AI-generated Images Challenge Visual Trust in High-risk Scenarios International conference on machine learning , pages=

Reference 43

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unresolved
no resolver link, observed 2026-08-01T08:52:48.318963Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T08:52:48.318963Z digest=sha256:ce00087030a0e76732025f0371f6ebae0d4315dddab59d0c084e3dba1a753c02

Observation 75c4e19c-a9af-4572-843b-4ac8bfb231af · outbound

This paper cites European conference on computer vision , pages=.

AI-generated Images Challenge Visual Trust in High-risk Scenarios European conference on computer vision , pages=

Reference 44

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no resolver link, observed 2026-08-01T08:52:48.443971Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-01T08:52:48.443971Z digest=sha256:5e9cf2723f87670087bd55adfa78d72c0c897e154ad05987a5d6bb5ae834a8f8

Pith citing papers

No inbound Pith citation observations are available.