Paper Citation Record · LEDGER

SegDT: A Diffusion Transformer-Based Segmentation Model for Medical Imaging

As of 10 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 0 inbound Pith citation observations for arXiv:2507.15595.

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

pith.paper-citation-record.v1
2507.15595 v1

Coverage vector

measured 24 of 24 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T15:33:59.006785Z

measured 24 of 24 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

24 of 24 outbound references displayed

verified exact0
verified fuzzy11
unresolved12
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4ac9aa7e-7911-4e54-b30d-fd6c8d719d37 · outbound

This paper cites In: European conference on computer vision.

SegDT: A Diffusion Transformer-Based Segmentation Model for Medical Imaging In: European conference on computer vision

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-06T15:33:58.934064Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation de439c24-fd1c-4929-b5cd-7030539234d6 · outbound

This paper cites TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation.

SegDT: A Diffusion Transformer-Based Segmentation Model for Medical Imaging TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-06T15:33:58.937691Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6442f5ed-1a72-4f10-9f80-d1cc6150fc8d · outbound

This paper cites IEEE Transactions on Pattern Analysis and Machine Intelli- gence 40(4), 834–848 (2018).

SegDT: A Diffusion Transformer-Based Segmentation Model for Medical Imaging IEEE Transactions on Pattern Analysis and Machine Intelli- gence 40(4), 834–848 (2018)

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:33:59.246070Z

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.

Observation f606397c-7f6b-415a-a704-c3554080918f · outbound

This paper cites Heliyon10(18) (2024).

SegDT: A Diffusion Transformer-Based Segmentation Model for Medical Imaging Heliyon10(18) (2024)

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:33:59.235035Z

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.

Observation 41e62d10-98f5-42f9-b20e-b26376c225d5 · outbound

This paper cites Skin Lesion Analysis Toward Melanoma Detection 2018: A Challenge Hosted by the International Skin Imaging Collaboration (ISIC).

SegDT: A Diffusion Transformer-Based Segmentation Model for Medical Imaging Skin Lesion Analysis Toward Melanoma Detection 2018: A Challenge Hosted by the International Skin Imaging Collaboration (ISIC)

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T15:33:58.947986Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d653e743-40e4-4cc9-b9d9-d4ae1ef58a5f · outbound

This paper cites In: 2018 IEEE 15th international symposium on biomedical imaging (ISBI 2018).

SegDT: A Diffusion Transformer-Based Segmentation Model for Medical Imaging In: 2018 IEEE 15th international symposium on biomedical imaging (ISBI 2018)

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T15:33:58.951866Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 87dfeb9d-5482-4bd5-bd82-bd58aa5279a5 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

SegDT: A Diffusion Transformer-Based Segmentation Model for Medical Imaging An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T15:33:58.956028Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ef1538d1-298b-41a1-9185-b598e18c4afd · outbound

This paper cites Biomedical Signal Processing and Control 98, 106674 (2024).

SegDT: A Diffusion Transformer-Based Segmentation Model for Medical Imaging Biomedical Signal Processing and Control 98, 106674 (2024)

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:33:59.217646Z

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.

Observation 25d341b3-4af3-49e1-8c35-f731ae47873d · outbound

This paper cites In: Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision.

SegDT: A Diffusion Transformer-Based Segmentation Model for Medical Imaging In: Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:33:59.207183Z

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.

Observation 6f40e6e8-cfab-44ed-9274-2e1a88a2c20e · outbound

This paper cites Skin Lesion Analysis toward Melanoma Detection: A Challenge at the International Symposium on Biomedical Imaging (ISBI) 2016, hosted by the International Skin Imaging Collaboration (ISIC).

SegDT: A Diffusion Transformer-Based Segmentation Model for Medical Imaging Skin Lesion Analysis toward Melanoma Detection: A Challenge at the International Symposium on Biomedical Imaging (ISBI) 2016, hosted by the International Skin Imaging Collaboration (ISIC)

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T15:33:58.964761Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation afd905d8-1112-4cf5-b887-83773ec79888 · outbound

This paper cites IEEE Access7, 21455– 21467 (2019).

SegDT: A Diffusion Transformer-Based Segmentation Model for Medical Imaging IEEE Access7, 21455– 21467 (2019)

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:33:59.195079Z

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.

Observation 721100e3-4e82-4d21-a368-7437410e1c52 · outbound

This paper cites Signal, Image and Video Processing 19(1), 152 (2025).

SegDT: A Diffusion Transformer-Based Segmentation Model for Medical Imaging Signal, Image and Video Processing 19(1), 152 (2025)

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:33:59.184103Z

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.

Observation befeee64-e4df-47b7-b749-c7ffaab8e8ba · outbound

This paper cites BRAU-Net++: U-Shaped Hybrid CNN-Transformer Network for Medical Image Segmentation.

SegDT: A Diffusion Transformer-Based Segmentation Model for Medical Imaging BRAU-Net++: U-Shaped Hybrid CNN-Transformer Network for Medical Image Segmentation

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T15:33:58.973764Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dc4e8a01-3cff-415d-b107-86b0acc2ee09 · outbound

This paper cites IEEE Transactions on Instru- mentation and Measurement71, 1–15 (2022).

SegDT: A Diffusion Transformer-Based Segmentation Model for Medical Imaging IEEE Transactions on Instru- mentation and Measurement71, 1–15 (2022)

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:33:59.172411Z

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.

Observation 30786c54-e820-42b8-b7ea-9f9083ae0cee · outbound

This paper cites Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow.

SegDT: A Diffusion Transformer-Based Segmentation Model for Medical Imaging Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-06T15:33:58.979995Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ab7b4bb1-8082-4a83-b65c-560d7229a3b0 · outbound

This paper cites In: Proceedings of the IEEE/CVF Inter.

SegDT: A Diffusion Transformer-Based Segmentation Model for Medical Imaging In: Proceedings of the IEEE/CVF Inter

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:33:59.162771Z

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.

Observation 66bae766-557a-4aa5-94f7-2e16f9f9fe13 · outbound

This paper cites MobileUNETR: A Lightweight End-To-End Hybrid Vision Transformer For Efficient Medical Image Segmentation.

SegDT: A Diffusion Transformer-Based Segmentation Model for Medical Imaging MobileUNETR: A Lightweight End-To-End Hybrid Vision Transformer For Efficient Medical Image Segmentation

Reference 17

Resolution: metadata mismatch; local_arxiv, observed 2026-08-06T15:33:59.050352Z

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.

Observation fd7dc834-4e02-4232-ae28-9165001b8da4 · outbound

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

SegDT: A Diffusion Transformer-Based Segmentation Model for Medical Imaging In: International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI)

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:33:59.153363Z

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.

Observation 26fef9bd-4d41-43de-ad6f-91530ffd80f7 · outbound

This paper cites Denoising Diffusion Implicit Models.

SegDT: A Diffusion Transformer-Based Segmentation Model for Medical Imaging Denoising Diffusion Implicit Models

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-06T15:33:58.992455Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 313ded5b-f2da-44e8-accb-d25870f63dd6 · outbound

This paper cites Advances in neural information pro- cessing systems 30 (2017).

SegDT: A Diffusion Transformer-Based Segmentation Model for Medical Imaging Advances in neural information pro- cessing systems 30 (2017)

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T15:33:58.995324Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 700a81f8-153f-4462-8dff-6e7d6d170262 · outbound

This paper cites In: Medical Imaging with Deep Learning.

SegDT: A Diffusion Transformer-Based Segmentation Model for Medical Imaging In: Medical Imaging with Deep Learning

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-06T15:33:58.998073Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 47f69c9c-7767-4fa2-b2ff-4fd3aa69fd02 · outbound

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

SegDT: A Diffusion Transformer-Based Segmentation Model for Medical Imaging In: Proceedings of the AAAI Conference on Artificial Intelligence

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-06T15:33:59.001580Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a65d6305-5355-45c5-8793-2a6fbe57296a · outbound

This paper cites Biomedical Signal Processing and Control101, 107242 (2025).

SegDT: A Diffusion Transformer-Based Segmentation Model for Medical Imaging Biomedical Signal Processing and Control101, 107242 (2025)

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:33:59.124163Z

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.

Observation dfbdb1b1-579d-435c-9373-4a69287634cc · outbound

This paper cites IEEE Sensors Journal (2025).

SegDT: A Diffusion Transformer-Based Segmentation Model for Medical Imaging IEEE Sensors Journal (2025)

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:33:59.115335Z

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.

Pith citing papers

No inbound Pith citation observations are available.