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Paper Citation Record · LEDGER

Diffusion-Based Ukrainian Handwritten Text Generation with Cross-Domain Style Transfer

As of 9 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 0 inbound Pith citation observations for arXiv:2605.27487.

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

pith.paper-citation-record.v1
2605.27487 v1

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-29T18:44:32.563329Z

measured 34 of 34 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 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

34 of 34 outbound references displayed

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  • verified fuzzy0
  • unresolved30
  • parse uncertain0
  • malformed identifier1
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External citation measurements

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Outbound references

Observation c1ae2d8b-5d6d-451d-9578-493f34d15760 · outbound

This paper cites In: International Conference on Document Anal- ysis and Recognition (2019).

Diffusion-Based Ukrainian Handwritten Text Generation with Cross-Domain Style Transfer In: International Conference on Document Anal- ysis and Recognition (2019)

Reference 1

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Observation a65277b3-2dc2-4abe-9410-855ba2701e35 · outbound

This paper cites Character region awareness for text detection.

Diffusion-Based Ukrainian Handwritten Text Generation with Cross-Domain Style Transfer Character region awareness for text detection

Reference 2

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Observation 616d187a-16fd-43cb-8f5f-70a6c8d6ba2e · outbound

This paper cites In: Proceedings of the IEEE/CVF International Conference on Com- puter Vision (ICCV) (2021).

Diffusion-Based Ukrainian Handwritten Text Generation with Cross-Domain Style Transfer In: Proceedings of the IEEE/CVF International Conference on Com- puter Vision (ICCV) (2021)

Reference 3

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Diffusion-Based Ukrainian Handwritten Text Generation with Cross-Domain Style Transfer Unresolved cited work

Reference 4

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Observation d44cadb2-04bf-47d5-9a44-13f1729461e5 · outbound

This paper cites an unresolved cited work.

Diffusion-Based Ukrainian Handwritten Text Generation with Cross-Domain Style Transfer Unresolved cited work

Reference 5

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Observation 2555b68f-f1d4-4bb2-8444-b1904f5d4537 · outbound

This paper cites In: Proceedings of the European Conference on Computer Vision (ECCV) (2022).

Diffusion-Based Ukrainian Handwritten Text Generation with Cross-Domain Style Transfer In: Proceedings of the European Conference on Computer Vision (ECCV) (2022)

Reference 6

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Observation 3ecc45f2-92c0-4ede-a577-861c4791da3d · outbound

This paper cites Transactions of the Associ- ation for Computational Linguistics10, 73–91 (2022).

Diffusion-Based Ukrainian Handwritten Text Generation with Cross-Domain Style Transfer Transactions of the Associ- ation for Computational Linguistics10, 73–91 (2022)

Reference 7

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Observation 24430c25-01e6-449b-ad7a-98404561c119 · outbound

This paper cites In: European Conference on Computer Vi- sion (2024).

Diffusion-Based Ukrainian Handwritten Text Generation with Cross-Domain Style Transfer In: European Conference on Computer Vi- sion (2024)

Reference 8

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Observation 6b18439f-be7b-4aaf-ab4e-882ffe458897 · outbound

This paper cites In: IEEE/CVF International Conference on Computer Vision (2025).

Diffusion-Based Ukrainian Handwritten Text Generation with Cross-Domain Style Transfer In: IEEE/CVF International Conference on Computer Vision (2025)

Reference 9

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Observation 08e61d49-124f-49b6-84ae-e22ab2aa1a3b · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2020).

Diffusion-Based Ukrainian Handwritten Text Generation with Cross-Domain Style Transfer In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2020)

Reference 10

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Observation cf051a7b-4b2f-46b9-91d5-0ec85e7f9587 · outbound

This paper cites In: Proceedings of the AAAI Conference on Artificial Intelligence (2021).

Diffusion-Based Ukrainian Handwritten Text Generation with Cross-Domain Style Transfer In: Proceedings of the AAAI Conference on Artificial Intelligence (2021)

Reference 11

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Observation 51d19d81-08c9-47e0-b6c8-340b70c77087 · outbound

This paper cites In: Advances in Neural Information Processing Systems (NeurIPS).

Diffusion-Based Ukrainian Handwritten Text Generation with Cross-Domain Style Transfer In: Advances in Neural Information Processing Systems (NeurIPS)

Reference 12

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Observation cea8a727-6da7-4014-be7d-c8c3c3a06f73 · outbound

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Diffusion-Based Ukrainian Handwritten Text Generation with Cross-Domain Style Transfer Unresolved cited work

Reference 13

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Observation 7c53ad3e-6f18-4945-ab45-31f376ca07ee · outbound

This paper cites In: NeurIPS 2021 Workshop on Deep Generative Models and Downstream Applications (2021).

Diffusion-Based Ukrainian Handwritten Text Generation with Cross-Domain Style Transfer In: NeurIPS 2021 Workshop on Deep Generative Models and Downstream Applications (2021)

Reference 14

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Observation d94067bb-d29f-45b5-bc31-1401def8f51b · outbound

This paper cites PeerJ Computer Science (2022).

Diffusion-Based Ukrainian Handwritten Text Generation with Cross-Domain Style Transfer PeerJ Computer Science (2022)

Reference 15

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Observation d6c4fac4-98c8-4a5d-a57d-db85b99d7e8d · outbound

This paper cites In: Proceedings of the European Conference on Computer Vision (ECCV) (2020).

Diffusion-Based Ukrainian Handwritten Text Generation with Cross-Domain Style Transfer In: Proceedings of the European Conference on Computer Vision (ECCV) (2020)

Reference 16

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Observation 3e99719f-6cfd-4201-b8dd-d50906f6b4b6 · outbound

This paper cites In: Advances in Neural Information Processing Systems (NeurIPS).

Diffusion-Based Ukrainian Handwritten Text Generation with Cross-Domain Style Transfer In: Advances in Neural Information Processing Systems (NeurIPS)

Reference 17

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Observation a418e029-8e30-4c75-8eac-55d2876e8697 · outbound

This paper cites In: Proceedings of the AAAI Conference on Artificial Intelligence (2023).

Diffusion-Based Ukrainian Handwritten Text Generation with Cross-Domain Style Transfer In: Proceedings of the AAAI Conference on Artificial Intelligence (2023)

Reference 18

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Observation c0ea3645-3e43-4199-bd04-5ebe17670e9b · outbound

This paper cites International Journal on Document Analysis and Recognition5(1), 39–46 (2002).

Diffusion-Based Ukrainian Handwritten Text Generation with Cross-Domain Style Transfer International Journal on Document Analysis and Recognition5(1), 39–46 (2002)

Reference 19

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Observation 2b74d542-7664-4a81-a22c-9394da7b00cb · outbound

This paper cites In: Proceedings of the International Con- ference on Document Analysis and Recognition (ICDAR).

Diffusion-Based Ukrainian Handwritten Text Generation with Cross-Domain Style Transfer In: Proceedings of the International Con- ference on Document Analysis and Recognition (ICDAR)

Reference 20

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Observation cdceda51-c44d-4455-a3a6-4e51fe0019f2 · outbound

This paper cites Dual Orthogonal Guidance for Robust Diffusion-based Handwritten Text Generation.

Diffusion-Based Ukrainian Handwritten Text Generation with Cross-Domain Style Transfer Dual Orthogonal Guidance for Robust Diffusion-based Handwritten Text Generation

Reference 21

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arxiv_id, observed 2026-06-29T18:53:51.892832Z

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.

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Observation d840ae2a-73e0-499d-81dd-d709f1b0f664 · outbound

This paper cites In: Proceedings of the European Conference on Computer Vision (ECCV) (2024).

Diffusion-Based Ukrainian Handwritten Text Generation with Cross-Domain Style Transfer In: Proceedings of the European Conference on Computer Vision (ECCV) (2024)

Reference 22

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Observation f62734ac-b3f7-4501-9d0d-e20eb77921b5 · outbound

This paper cites IEEE Trans- actions on Systems, Man, and Cybernetics9(1), 62–66 (1979).

Diffusion-Based Ukrainian Handwritten Text Generation with Cross-Domain Style Transfer IEEE Trans- actions on Systems, Man, and Cybernetics9(1), 62–66 (1979)

Reference 23

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Observation fc93f2f2-a6ba-45a7-a925-8f5d79a71fad · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023).

Diffusion-Based Ukrainian Handwritten Text Generation with Cross-Domain Style Transfer In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023)

Reference 24

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Observation 1c36ed3c-141d-46ff-a02b-3f17c8fbc8e6 · outbound

This paper cites StylusAI: Stylistic Adaptation for Robust German Handwritten Text Generation.

Diffusion-Based Ukrainian Handwritten Text Generation with Cross-Domain Style Transfer StylusAI: Stylistic Adaptation for Robust German Handwritten Text Generation

Reference 25

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arxiv_id, observed 2026-06-29T18:53:51.890270Z

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

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Observation 6de70ae3-3ff2-4797-b6a7-90763a52b98d · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Diffusion-Based Ukrainian Handwritten Text Generation with Cross-Domain Style Transfer In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Reference 26

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Observation 5ef25533-904d-4b19-83c5-0f83300a86a8 · outbound

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Diffusion-Based Ukrainian Handwritten Text Generation with Cross-Domain Style Transfer Unresolved cited work

Reference 27

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Observation 40c3552e-c94a-4c02-8f98-fa5d2cea39e6 · outbound

This paper cites In: Medical Image Computing and Computer-Assisted Intervention (MICCAI).

Diffusion-Based Ukrainian Handwritten Text Generation with Cross-Domain Style Transfer In: Medical Image Computing and Computer-Assisted Intervention (MICCAI)

Reference 28

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This paper cites In: Proceedings of the IEEE/CVF Confer- ence on Computer Vision and Pattern Recognition (CVPR) (2018).

Diffusion-Based Ukrainian Handwritten Text Generation with Cross-Domain Style Transfer In: Proceedings of the IEEE/CVF Confer- ence on Computer Vision and Pattern Recognition (CVPR) (2018)

Reference 29

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Observation 5c88b318-6845-4952-8a39-15d68d32c9aa · outbound

This paper cites Schroff, D.

Diffusion-Based Ukrainian Handwritten Text Generation with Cross-Domain Style Transfer Schroff, D

Reference 30

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arxiv_id, observed 2026-06-29T18:53:50.945368Z

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Observation 65cf408b-8067-43a2-be6f-762454c96dd7 · outbound

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Diffusion-Based Ukrainian Handwritten Text Generation with Cross-Domain Style Transfer Unresolved cited work

Reference 31

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Observation 71859f21-91c4-484a-b33f-888c71c49333 · outbound

This paper cites IEEE Transactions on Pattern Analysis and Machine Intelligence (2024).

Diffusion-Based Ukrainian Handwritten Text Generation with Cross-Domain Style Transfer IEEE Transactions on Pattern Analysis and Machine Intelligence (2024)

Reference 32

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Observation 827c221d-9751-4b0a-9686-52c3d8f7d9d2 · outbound

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Diffusion-Based Ukrainian Handwritten Text Generation with Cross-Domain Style Transfer Unresolved cited work

Reference 33

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Observation 6067ba27-44b5-4df1-b921-0caaa8f2c9ee · outbound

This paper cites In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2018).

Diffusion-Based Ukrainian Handwritten Text Generation with Cross-Domain Style Transfer In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2018)

Reference 34

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Pith citing papers

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