Paper Citation Record · LEDGER

Contrastive Learning with Diffusion Features for Weakly Supervised Medical Image Segmentation

As of 7 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 0 inbound Pith citation observations for arXiv:2506.23460.

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

pith.paper-citation-record.v1
2506.23460 v1

Coverage vector

measured 24 of 24 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:46:35.457257Z

measured 24 of 24 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+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
unresolved13
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c5d415fc-0b6a-45d6-9c77-e49073fe4fd7 · outbound

This paper cites The RSNA-ASNR-MICCAI BraTS 2021 Benchmark on Brain Tumor Segmentation and Radiogenomic Classification.

Contrastive Learning with Diffusion Features for Weakly Supervised Medical Image Segmentation The RSNA-ASNR-MICCAI BraTS 2021 Benchmark on Brain Tumor Segmentation and Radiogenomic Classification

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 438a0d5c-df02-4ee0-b4b2-9f7bf426e24e · outbound

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

Contrastive Learning with Diffusion Features for Weakly Supervised Medical Image Segmentation Label-Efficient Semantic Segmentation with Diffusion Models

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-06T21:46:33.750731Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ce9e3e3d-3173-4a0e-a00f-d2299661f810 · outbound

This paper cites In: 2018 IEEE winter conference on applications of computer vision (WACV).

Contrastive Learning with Diffusion Features for Weakly Supervised Medical Image Segmentation In: 2018 IEEE winter conference on applications of computer vision (WACV)

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-06T21:46:33.881255Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d523d2ac-ba12-4872-a73d-0edbc9f63693 · outbound

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

Contrastive Learning with Diffusion Features for Weakly Supervised Medical Image Segmentation In: International Conference on Medical Image Computing and Computer-Assisted Intervention

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:46:37.029367Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 17dab314-d10a-42ff-8386-e821acfa135f · outbound

This paper cites Advances in neural information processing systems34, 8780–8794 (2021).

Contrastive Learning with Diffusion Features for Weakly Supervised Medical Image Segmentation Advances in neural information processing systems34, 8780–8794 (2021)

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T21:46:34.081537Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e552f0cb-7ab8-4c41-a957-f0c566ccaa0f · outbound

This paper cites Advances in Neural Information Processing Systems35, 14715–14728 (2022).

Contrastive Learning with Diffusion Features for Weakly Supervised Medical Image Segmentation Advances in Neural Information Processing Systems35, 14715–14728 (2022)

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:46:36.903135Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 3853c3d2-04e9-491d-85e9-a77ba9f9eaf1 · outbound

This paper cites Advances in neural information processing systems33, 6840–6851 (2020).

Contrastive Learning with Diffusion Features for Weakly Supervised Medical Image Segmentation Advances in neural information processing systems33, 6840–6851 (2020)

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T21:46:34.325035Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c9cbe299-4d83-49a0-b644-1a99a5f709cd · outbound

This paper cites Classifier-Free Diffusion Guidance.

Contrastive Learning with Diffusion Features for Weakly Supervised Medical Image Segmentation Classifier-Free Diffusion Guidance

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T21:46:34.442105Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9a6eb3ed-84d8-4dbe-81da-90bee0c69c33 · outbound

This paper cites In: International Conference on Medi- cal Image Computing and Computer-Assisted Intervention.

Contrastive Learning with Diffusion Features for Weakly Supervised Medical Image Segmentation In: International Conference on Medi- cal Image Computing and Computer-Assisted Intervention

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:46:36.764995Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 5b7edcc6-498a-4d06-a63f-8341fb9e0f10 · outbound

This paper cites IEEE Transactions on Image Processing 30, 5875–5888 (2021).

Contrastive Learning with Diffusion Features for Weakly Supervised Medical Image Segmentation IEEE Transactions on Image Processing 30, 5875–5888 (2021)

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:46:36.618576Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation a0a3e7c5-d7e6-40bd-b3cf-f2c7fa3cd462 · outbound

This paper cites Advances in neural information processing systems33, 18661–18673 (2020).

Contrastive Learning with Diffusion Features for Weakly Supervised Medical Image Segmentation Advances in neural information processing systems33, 18661–18673 (2020)

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T21:46:34.777917Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d04ee8b3-15d4-4b16-86c9-56b1eeb34dce · outbound

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

Contrastive Learning with Diffusion Features for Weakly Supervised Medical Image Segmentation In: Proceedings of the IEEE/CVF international conference on computer vision

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:46:36.487115Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 67695b8a-9a54-4258-b274-71568431b7d0 · outbound

This paper cites Medical Image Analysis82, 102616 (2022).

Contrastive Learning with Diffusion Features for Weakly Supervised Medical Image Segmentation Medical Image Analysis82, 102616 (2022)

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:46:36.383587Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation c85d7855-ba5e-4bdb-b576-67acfaa9d2b3 · outbound

This paper cites In: International conference on machine learning.

Contrastive Learning with Diffusion Features for Weakly Supervised Medical Image Segmentation In: International conference on machine learning

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-06T21:46:34.913392Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e8f0bead-bc2b-49d7-8926-7f24536c0bfc · outbound

This paper cites Smooth Grad-CAM++: An Enhanced Inference Level Visualization Technique for Deep Convolutional Neural Network Models.

Contrastive Learning with Diffusion Features for Weakly Supervised Medical Image Segmentation Smooth Grad-CAM++: An Enhanced Inference Level Visualization Technique for Deep Convolutional Neural Network Models

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-06T21:46:34.979687Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ad2d0304-e9b7-47e8-a41d-9972b6c4fa2b · outbound

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

Contrastive Learning with Diffusion Features for Weakly Supervised Medical Image Segmentation In: International Conference on Medical Image Computing and Computer-Assisted Intervention

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:46:36.226557Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 2301013f-4699-42a3-aeb6-346ad84c3b25 · outbound

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

Contrastive Learning with Diffusion Features for Weakly Supervised Medical Image Segmentation In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T21:46:35.061603Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 11e65872-ba15-47db-af5d-389ddd025808 · outbound

This paper cites In: Proceedings of the IEEE international conference on computer vision.

Contrastive Learning with Diffusion Features for Weakly Supervised Medical Image Segmentation In: Proceedings of the IEEE international conference on computer vision

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T21:46:35.141208Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 286f098f-e113-4c2b-8b68-344b8aeebf9b · outbound

This paper cites In: Proceedings of the IEEE/CVF conference on computer vision and pat- tern recognition workshops.

Contrastive Learning with Diffusion Features for Weakly Supervised Medical Image Segmentation In: Proceedings of the IEEE/CVF conference on computer vision and pat- tern recognition workshops

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-06T21:46:35.205970Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 13ee27e7-b11c-4343-813f-68d1ecf04b0b · outbound

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

Contrastive Learning with Diffusion Features for Weakly Supervised Medical Image Segmentation In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:46:36.070257Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 4cccb22a-fc3b-4291-ad14-b3461f1ba2ea · outbound

This paper cites In: International Conference on Medical Imaging with Deep Learning.

Contrastive Learning with Diffusion Features for Weakly Supervised Medical Image Segmentation In: International Conference on Medical Imaging with Deep Learning

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:46:35.949330Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation afcdaee6-9682-449c-9a91-86ce54aca3fe · outbound

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

Contrastive Learning with Diffusion Features for Weakly Supervised Medical Image Segmentation In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:46:35.818398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 653300b2-2745-4ffa-9f31-b6ad544e0203 · outbound

This paper cites In: European Conference on Computer Vision.

Contrastive Learning with Diffusion Features for Weakly Supervised Medical Image Segmentation In: European Conference on Computer Vision

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:46:35.705556Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 76b65163-a2e1-4142-b95d-42fee97352dd · outbound

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

Contrastive Learning with Diffusion Features for Weakly Supervised Medical Image Segmentation In: Proceedings of the IEEE conference on computer vision and pattern recognition

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-06T21:46:35.457257Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.