Paper Citation Record · LEDGER

Medical Semantic Segmentation with Diffusion Pretrain

As of 11 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 1 inbound Pith citation observation for arXiv:2501.19265.

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

pith.paper-citation-record.v1
2501.19265 v1

Coverage vector

measured 25 of 25 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T20:50:42.869408Z

measured 26 of 26 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T20:50:42.710677Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-09T20:50:42.948011Z

Reference resolution

25 of 25 outbound references displayed

verified exact0
verified fuzzy18
unresolved6
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 40fe5d1f-cc40-4984-9e32-cba34b9d0764 · outbound

This paper cites It incurs high annotation costs but also leads to models that often suffer from poor generaliza- tion to new data sources.

Medical Semantic Segmentation with Diffusion Pretrain It incurs high annotation costs but also leads to models that often suffer from poor generaliza- tion to new data sources

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T20:50:43.422391Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation df02298c-6386-44bb-a1cb-690fc6997a4f · outbound

This paper cites an unresolved cited work.

Medical Semantic Segmentation with Diffusion Pretrain Unresolved cited work

Reference 2

Resolution: unresolved; raw_fallback, observed 2026-08-09T20:50:43.400952Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation cfa52962-8360-4de2-ad5c-f3b3279743e5 · outbound

This paper cites Medical Semantic Segmentation with Diffusion Pretrain.

Medical Semantic Segmentation with Diffusion Pretrain Medical Semantic Segmentation with Diffusion Pretrain

Reference 3

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Source-reported events for the cited work

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Observation a519ce33-0ea9-4ac5-86d8-d6e0285552f1 · outbound

This paper cites an unresolved cited work.

Medical Semantic Segmentation with Diffusion Pretrain Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-08-09T20:50:43.377777Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation faebe9ac-dce5-4b3f-b6a6-9e792a354836 · outbound

This paper cites Pretrain As a pretrein task, we use the image generation task, but due to the specific domain, several problems arise.

Medical Semantic Segmentation with Diffusion Pretrain Pretrain As a pretrein task, we use the image generation task, but due to the specific domain, several problems arise

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T20:50:43.357102Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 305796f7-3111-4511-ae0e-bbeaad06e55a · outbound

This paper cites Timestemps evaluation We investigated which timestamps are best suited for our task.

Medical Semantic Segmentation with Diffusion Pretrain Timestemps evaluation We investigated which timestamps are best suited for our task

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T20:50:43.335838Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation eadc7685-8070-471b-a520-618fc4d3af4a · outbound

This paper cites an unresolved cited work.

Medical Semantic Segmentation with Diffusion Pretrain Unresolved cited work

Reference 7

Resolution: unresolved; raw_fallback, observed 2026-08-09T20:50:43.314318Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation fc5d1718-cba4-4a91-af7e-d436320e8081 · outbound

This paper cites Ethical approval was not required as confirmed by the license attached with the open access data.

Medical Semantic Segmentation with Diffusion Pretrain Ethical approval was not required as confirmed by the license attached with the open access data

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T20:50:43.291491Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c0aa60ca-caf7-4bee-9f19-8c27bf77c585 · outbound

This paper cites The au- thors have no relevant financial or non-financial interests to disclose.

Medical Semantic Segmentation with Diffusion Pretrain The au- thors have no relevant financial or non-financial interests to disclose

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T20:50:43.268015Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 17534953-3993-41c5-817f-1ca396a7a16c · outbound

This paper cites Masked autoencoders are scalable vision learners,.

Medical Semantic Segmentation with Diffusion Pretrain Masked autoencoders are scalable vision learners,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-09T20:50:42.761598Z

Source-reported events for the cited work

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Observation 9d730a5f-5f06-456e-b89c-aeac9b3ab3d8 · outbound

This paper cites 3d self-supervised methods for medical imaging,.

Medical Semantic Segmentation with Diffusion Pretrain 3d self-supervised methods for medical imaging,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T20:50:43.235811Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 36cfcc43-1b00-4d87-a485-c34d87b9e1ea · outbound

This paper cites Transferable visual words: Exploiting the se- mantics of anatomical patterns for self-supervised learn- ing,.

Medical Semantic Segmentation with Diffusion Pretrain Transferable visual words: Exploiting the se- mantics of anatomical patterns for self-supervised learn- ing,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T20:50:43.212013Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c8fefad8-8fec-42b2-9a43-1c41aa7d79a7 · outbound

This paper cites Self-supervised pre-training of swin transformers for 3d medical image analysis,.

Medical Semantic Segmentation with Diffusion Pretrain Self-supervised pre-training of swin transformers for 3d medical image analysis,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T20:50:43.191894Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d50613e7-f68d-4c5c-a3e9-598389827491 · outbound

This paper cites vox2vec: A framework for self-supervised contrastive learning of voxel-level representations in medical images,.

Medical Semantic Segmentation with Diffusion Pretrain vox2vec: A framework for self-supervised contrastive learning of voxel-level representations in medical images,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T20:50:43.167308Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 92d20714-25b9-461a-94a0-11611c4fc904 · outbound

This paper cites Swin unetr: Swin transformers for semantic segmentation of brain tumors in mri images,.

Medical Semantic Segmentation with Diffusion Pretrain Swin unetr: Swin transformers for semantic segmentation of brain tumors in mri images,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T20:50:43.146436Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 05e257cd-c433-4947-8c02-7cedcad4dd8e · outbound

This paper cites Denoising diffusion probabilistic models,.

Medical Semantic Segmentation with Diffusion Pretrain Denoising diffusion probabilistic models,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-09T20:50:42.802683Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9f9d7254-22b5-491f-917b-8be87231eb18 · outbound

This paper cites Label-Efficient Semantic Segmentation with Diffusion Models.

Medical Semantic Segmentation with Diffusion Pretrain Label-Efficient Semantic Segmentation with Diffusion Models

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-09T20:50:42.810013Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 17d1ddce-b183-4d35-974d-6be8bd385441 · outbound

This paper cites Unsupervised body part regression via spatially self-ordering convolu- tional neural networks,.

Medical Semantic Segmentation with Diffusion Pretrain Unsupervised body part regression via spatially self-ordering convolu- tional neural networks,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T20:50:43.114206Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 78e3cf2d-d29f-46eb-b070-5ebb376b0475 · outbound

This paper cites Linear attention mechanism: An efficient attention for semantic segmentation,.

Medical Semantic Segmentation with Diffusion Pretrain Linear attention mechanism: An efficient attention for semantic segmentation,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T20:50:43.095818Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 3699a7f1-ae42-4bff-af24-4c8bcca50106 · outbound

This paper cites Amos: A large-scale abdominal multi-organ benchmark for versatile medical image segmentation,.

Medical Semantic Segmentation with Diffusion Pretrain Amos: A large-scale abdominal multi-organ benchmark for versatile medical image segmentation,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T20:50:43.077400Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 491440a7-d2a3-4525-9e18-07c9a94b8e4c · outbound

This paper cites Fast and low-gpu-memory abdomen ct organ segmentation: the flare challenge,.

Medical Semantic Segmentation with Diffusion Pretrain Fast and low-gpu-memory abdomen ct organ segmentation: the flare challenge,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T20:50:43.057523Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 1444e46b-2c30-45ce-b593-b9f32564d8b0 · outbound

This paper cites Data from the national lung screening trial (nlst),.

Medical Semantic Segmentation with Diffusion Pretrain Data from the national lung screening trial (nlst),

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T20:50:43.038621Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 69ed7d19-5429-42f9-833d-17db0a0f147b · outbound

This paper cites Data from nsclc-radiomics,.

Medical Semantic Segmentation with Diffusion Pretrain Data from nsclc-radiomics,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T20:50:43.020734Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a089a6d4-659f-42aa-a90f-72ddae057e2a · outbound

This paper cites The lung image database consortium (lidc) and image database resource initiative (idri): a completed reference database of lung nodules on ct scans,.

Medical Semantic Segmentation with Diffusion Pretrain The lung image database consortium (lidc) and image database resource initiative (idri): a completed reference database of lung nodules on ct scans,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T20:50:42.998924Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 17b7c911-685c-4589-bf3a-5bcbdfcb12b8 · outbound

This paper cites Miccai multi- atlas labeling beyond the cranial vault–workshop and challenge,.

Medical Semantic Segmentation with Diffusion Pretrain Miccai multi- atlas labeling beyond the cranial vault–workshop and challenge,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T20:50:42.976313Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Pith citing papers

Observation cfa52962-8360-4de2-ad5c-f3b3279743e5 · inbound