Paper Citation Record · LEDGER

DpDNet: An Dual-Prompt-Driven Network for Universal PET-CT Segmentation

As of 19 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 0 inbound Pith citation observations for arXiv:2507.07126.

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

pith.paper-citation-record.v1
2507.07126 v1

Coverage vector

measured 29 of 29 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:10:57.687124Z

measured 29 of 29 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+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

29 of 29 outbound references displayed

verified exact0
verified fuzzy19
unresolved10
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 56118361-3a12-4317-a1f1-7f07a36b9385 · outbound

This paper cites Cancers14(3), 637 (2022).

DpDNet: An Dual-Prompt-Driven Network for Universal PET-CT Segmentation Cancers14(3), 637 (2022)

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:11:00.386777Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 91e7149d-30ea-4991-99e8-ec3103e9ec24 · outbound

This paper cites Oncotarget 6(1), 570 (2014).

DpDNet: An Dual-Prompt-Driven Network for Universal PET-CT Segmentation Oncotarget 6(1), 570 (2014)

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:11:00.339338Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 0e90586d-4f65-4546-9bab-91eefa55bee6 · outbound

This paper cites Pattern Recognition145, 109881 (2024).

DpDNet: An Dual-Prompt-Driven Network for Universal PET-CT Segmentation Pattern Recognition145, 109881 (2024)

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:11:00.303812Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation fe5a8b04-7a27-4704-867e-bf3190118cd6 · outbound

This paper cites International journal of clinical oncology11, 286–296 (2006).

DpDNet: An Dual-Prompt-Driven Network for Universal PET-CT Segmentation International journal of clinical oncology11, 286–296 (2006)

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:11:00.267340Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation beea29e1-cce0-400f-aca8-6b67ab59fdfc · outbound

This paper cites Nature Communications15(1), 9613 (2024).

DpDNet: An Dual-Prompt-Driven Network for Universal PET-CT Segmentation Nature Communications15(1), 9613 (2024)

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:11:00.204623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation e15adb87-3ddd-4324-8487-a3654a300aec · outbound

This paper cites Data9(1), 601 (2022).

DpDNet: An Dual-Prompt-Driven Network for Universal PET-CT Segmentation Data9(1), 601 (2022)

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:11:00.167819Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 08057e17-18f3-427d-8a1f-7eac5f43e39a · outbound

This paper cites Radiology266(2), 388–405 (2013).

DpDNet: An Dual-Prompt-Driven Network for Universal PET-CT Segmentation Radiology266(2), 388–405 (2013)

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:11:00.119807Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 343ab97b-7ccb-4eb1-8e05-333e039c3cf2 · outbound

This paper cites The Lancet Digital Health6(2), e114–e125 (2024) 10 X.

DpDNet: An Dual-Prompt-Driven Network for Universal PET-CT Segmentation The Lancet Digital Health6(2), e114–e125 (2024) 10 X

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:11:00.074751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 67fb56c7-685e-444f-846e-67c575c8da02 · outbound

This paper cites In: International MICCAI brainlesion workshop.

DpDNet: An Dual-Prompt-Driven Network for Universal PET-CT Segmentation In: International MICCAI brainlesion workshop

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T19:10:56.601400Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c03f583e-83fd-4c33-b9c2-5d1aeb8be8ce · outbound

This paper cites In: Proceedings of the IEEE/CVF winter conference on applications of computer vi- sion.

DpDNet: An Dual-Prompt-Driven Network for Universal PET-CT Segmentation In: Proceedings of the IEEE/CVF winter conference on applications of computer vi- sion

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T19:10:56.639002Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 948f3d2e-0036-48da-aa36-c37f8ef1dbf2 · outbound

This paper cites STU-Net: Scalable and Transferable Medical Image Segmentation Models Empowered by Large-Scale Supervised Pre-training.

DpDNet: An Dual-Prompt-Driven Network for Universal PET-CT Segmentation STU-Net: Scalable and Transferable Medical Image Segmentation Models Empowered by Large-Scale Supervised Pre-training

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T19:10:56.711580Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 23478a8e-0e45-4556-bb57-bd039625f4d9 · outbound

This paper cites Nature methods 18(2), 203–211 (2021).

DpDNet: An Dual-Prompt-Driven Network for Universal PET-CT Segmentation Nature methods 18(2), 203–211 (2021)

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T19:10:56.771937Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 555f35d7-0c03-4663-8f34-810a18ea6d19 · outbound

This paper cites Journal of clinical oncology28(20), 3271–3277 (2010).

DpDNet: An Dual-Prompt-Driven Network for Universal PET-CT Segmentation Journal of clinical oncology28(20), 3271–3277 (2010)

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:10:59.957638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 52583f37-fb4f-4527-8c9d-fb0f458c2774 · outbound

This paper cites 3D UX-Net: A Large Kernel Volumetric ConvNet Modernizing Hierarchical Transformer for Medical Image Segmentation.

DpDNet: An Dual-Prompt-Driven Network for Universal PET-CT Segmentation 3D UX-Net: A Large Kernel Volumetric ConvNet Modernizing Hierarchical Transformer for Medical Image Segmentation

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-06T19:10:56.886563Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation af92425d-1d11-4ee0-8a27-ff76613c1e31 · outbound

This paper cites Medicine 100(31), e26745 (August 2021).

DpDNet: An Dual-Prompt-Driven Network for Universal PET-CT Segmentation Medicine 100(31), e26745 (August 2021)

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:10:59.899730Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation e65ff21b-1314-4493-b746-17a25052154a · outbound

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

DpDNet: An Dual-Prompt-Driven Network for Universal PET-CT Segmentation In: Proceedings of the IEEE/CVF International Conference on Computer Vision

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:10:59.867911Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 39434a35-3cfa-4473-aa4d-893eb451424f · outbound

This paper cites U-Mamba: Enhancing Long-range Dependency for Biomedical Image Segmentation.

DpDNet: An Dual-Prompt-Driven Network for Universal PET-CT Segmentation U-Mamba: Enhancing Long-range Dependency for Biomedical Image Segmentation

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T19:10:57.048098Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b0f0fc69-3285-4eb7-88bc-ed7ed342aecd · outbound

This paper cites Cancers 15(10), 2715 (2023).

DpDNet: An Dual-Prompt-Driven Network for Universal PET-CT Segmentation Cancers 15(10), 2715 (2023)

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:10:59.796881Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 4c935f33-0fea-4c91-8144-f465e5374e88 · outbound

This paper cites In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition.

DpDNet: An Dual-Prompt-Driven Network for Universal PET-CT Segmentation In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-06T19:10:57.148895Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2b8ef2b0-e80b-461f-b1ba-7ce970e24b60 · outbound

This paper cites Cancer treatment reviews40(4), 558–566 (2014).

DpDNet: An Dual-Prompt-Driven Network for Universal PET-CT Segmentation Cancer treatment reviews40(4), 558–566 (2014)

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:10:59.534441Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 31d93ae5-21d3-4bd0-a040-708ec819d0a7 · outbound

This paper cites IEEE Transactions on Pattern Analysis and Machine Intelligence (2023).

DpDNet: An Dual-Prompt-Driven Network for Universal PET-CT Segmentation IEEE Transactions on Pattern Analysis and Machine Intelligence (2023)

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:10:59.261796Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 9d0e99ef-1b46-4c9d-a534-138e6768d672 · outbound

This paper cites MedUniSeg: 2D and 3D Medical Image Segmentation via a Prompt-driven Universal Model.

DpDNet: An Dual-Prompt-Driven Network for Universal PET-CT Segmentation MedUniSeg: 2D and 3D Medical Image Segmentation via a Prompt-driven Universal Model

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-06T19:10:57.286283Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b845677e-d738-429d-957b-5dd7e36b3f55 · outbound

This paper cites In: International Title Suppressed Due to Excessive Length 11 Conference on Medical Image Computing and Computer-Assisted Intervention.

DpDNet: An Dual-Prompt-Driven Network for Universal PET-CT Segmentation In: International Title Suppressed Due to Excessive Length 11 Conference on Medical Image Computing and Computer-Assisted Intervention

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:10:59.057467Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation f8643865-f840-4191-91d0-5ce5eeab4260 · outbound

This paper cites Breast Cancer Re- search and Treatment153, 607–616 (2015).

DpDNet: An Dual-Prompt-Driven Network for Universal PET-CT Segmentation Breast Cancer Re- search and Treatment153, 607–616 (2015)

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:10:58.830594Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 2e455a81-79d5-4e3d-bba7-fc1b378ac175 · outbound

This paper cites In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition.

DpDNet: An Dual-Prompt-Driven Network for Universal PET-CT Segmentation In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-06T19:10:57.453659Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4095247d-93f1-41ee-86f8-f42f5d0d3ff8 · outbound

This paper cites Artificial Intelligence Review56(Suppl 1), 857–892 (2023).

DpDNet: An Dual-Prompt-Driven Network for Universal PET-CT Segmentation Artificial Intelligence Review56(Suppl 1), 857–892 (2023)

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:10:58.601606Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 9ad1e030-1036-45b9-ac7a-dd3c35926d23 · outbound

This paper cites In: International conference on medical image computing and computer-assisted intervention.

DpDNet: An Dual-Prompt-Driven Network for Universal PET-CT Segmentation In: International conference on medical image computing and computer-assisted intervention

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:10:58.314995Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation a771ed38-0b6a-47a4-b903-e82c3f0269a2 · outbound

This paper cites IEEE Journal of Biomedical and Health Informatics (2024).

DpDNet: An Dual-Prompt-Driven Network for Universal PET-CT Segmentation IEEE Journal of Biomedical and Health Informatics (2024)

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:10:58.090498Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 9a56a924-f51c-40ad-9046-baeded85aaf1 · outbound

This paper cites International Journal of Computer Vision130(9), 2337–2348 (2022).

DpDNet: An Dual-Prompt-Driven Network for Universal PET-CT Segmentation International Journal of Computer Vision130(9), 2337–2348 (2022)

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-06T19:10:57.687124Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.