Paper Citation Record · LEDGER

C3S3: Complementary Competition and Contrastive Selection for Semi-Supervised Medical Image Segmentation

As of 20 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 0 inbound Pith citation observations for arXiv:2506.07368.

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

pith.paper-citation-record.v1
2506.07368 v2

Coverage vector

measured 23 of 23 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:42:29.731934Z

measured 23 of 23 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+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

23 of 23 outbound references displayed

verified exact0
verified fuzzy23
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malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 37eafcf6-e5a4-465f-9665-efb766baf986 · outbound

This paper cites Directional connectivity-based segmen- tation of medical images,.

C3S3: Complementary Competition and Contrastive Selection for Semi-Supervised Medical Image Segmentation Directional connectivity-based segmen- tation of medical images,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:42:30.068750Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ef4fdb30-efc1-43b4-84de-31524d0bb6b5 · outbound

This paper cites Magicnet: Semi- supervised multi-organ segmentation via magic-cube partition and re- covery,.

C3S3: Complementary Competition and Contrastive Selection for Semi-Supervised Medical Image Segmentation Magicnet: Semi- supervised multi-organ segmentation via magic-cube partition and re- covery,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:42:30.055078Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b145e9b8-c038-4d19-8cb9-b911e81049d5 · outbound

This paper cites Bidirectional copy-paste for semi-supervised medical image segmentation,.

C3S3: Complementary Competition and Contrastive Selection for Semi-Supervised Medical Image Segmentation Bidirectional copy-paste for semi-supervised medical image segmentation,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:42:30.040733Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d3fae59e-6716-4c59-b270-03c5ea73eb1b · outbound

This paper cites Co-training with high- confidence pseudo labels for semi-supervised medical image segmenta- tion,.

C3S3: Complementary Competition and Contrastive Selection for Semi-Supervised Medical Image Segmentation Co-training with high- confidence pseudo labels for semi-supervised medical image segmenta- tion,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:42:30.027345Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 09d3091c-b16b-4e56-ab60-85af6d91e4b8 · outbound

This paper cites Transformation-consistent self-ensembling model for semi-supervised medical image segmenta- tion,.

C3S3: Complementary Competition and Contrastive Selection for Semi-Supervised Medical Image Segmentation Transformation-consistent self-ensembling model for semi-supervised medical image segmenta- tion,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:42:30.013890Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c1f76a09-7bfd-4fa0-9b67-32be65a2f4ad · outbound

This paper cites Competitive ensembling teacher-student framework for semi-supervised left atrium mri segmen- tation,.

C3S3: Complementary Competition and Contrastive Selection for Semi-Supervised Medical Image Segmentation Competitive ensembling teacher-student framework for semi-supervised left atrium mri segmen- tation,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:42:30.000625Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ab93c50b-c32c-4b52-b7f2-c356ab9c712e · outbound

This paper cites Self-paced co-training and foundation model for semi-supervised medical image segmentation,.

C3S3: Complementary Competition and Contrastive Selection for Semi-Supervised Medical Image Segmentation Self-paced co-training and foundation model for semi-supervised medical image segmentation,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:42:29.987598Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 32c57a47-e7c9-4809-9aae-78d5254ed1cb · outbound

This paper cites Caussl: Causality-inspired semi-supervised learning for medical image segmentation,.

C3S3: Complementary Competition and Contrastive Selection for Semi-Supervised Medical Image Segmentation Caussl: Causality-inspired semi-supervised learning for medical image segmentation,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:42:29.973987Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 86d63dbe-4039-42a3-b000-72ce703352e0 · outbound

This paper cites Pseudo-label guided contrastive learning for semi-supervised medical image segmentation,.

C3S3: Complementary Competition and Contrastive Selection for Semi-Supervised Medical Image Segmentation Pseudo-label guided contrastive learning for semi-supervised medical image segmentation,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:42:29.961076Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ae6baa55-5cf7-4527-a1d2-2c90954d3b97 · outbound

This paper cites C3t: Contrastive consistency cross-network learning for semi-supervised semantic seg- mentation,.

C3S3: Complementary Competition and Contrastive Selection for Semi-Supervised Medical Image Segmentation C3t: Contrastive consistency cross-network learning for semi-supervised semantic seg- mentation,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:42:29.947317Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a550948d-5593-4ab0-aeaf-3e0965f52432 · outbound

This paper cites Correlation-aware mutual learning for semi-supervised medical image segmentation,.

C3S3: Complementary Competition and Contrastive Selection for Semi-Supervised Medical Image Segmentation Correlation-aware mutual learning for semi-supervised medical image segmentation,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:42:29.920564Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 271c5357-316e-419d-81b4-173daa1faa7f · outbound

This paper cites Translation Consistent Semi- supervised Segmentation for 3D Medical Images,.

C3S3: Complementary Competition and Contrastive Selection for Semi-Supervised Medical Image Segmentation Translation Consistent Semi- supervised Segmentation for 3D Medical Images,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:42:29.907080Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b270727b-fbe0-4c5a-91e1-589367a98634 · outbound

This paper cites Leveraging coral- correlation consistency network for semi-supervised left atrium mri segmentation,.

C3S3: Complementary Competition and Contrastive Selection for Semi-Supervised Medical Image Segmentation Leveraging coral- correlation consistency network for semi-supervised left atrium mri segmentation,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:42:29.893928Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 35160f19-ba2b-4540-805a-7b8e56e6994e · outbound

This paper cites Icr-net: Semi- supervised medical image segmentation guided by intra-sample cross reconstruction,.

C3S3: Complementary Competition and Contrastive Selection for Semi-Supervised Medical Image Segmentation Icr-net: Semi- supervised medical image segmentation guided by intra-sample cross reconstruction,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:42:29.880297Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 11eb0432-6ce7-4c94-bdad-49e425ba9aa4 · outbound

This paper cites Rcps: Rectified contrastive pseudo supervision for semi-supervised medical image seg- mentation,.

C3S3: Complementary Competition and Contrastive Selection for Semi-Supervised Medical Image Segmentation Rcps: Rectified contrastive pseudo supervision for semi-supervised medical image seg- mentation,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:42:29.866088Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation db6022b0-04d5-4bd4-9c21-58961139e62d · outbound

This paper cites Uncertainty global contrastive learning framework for semi-supervised medical image seg- mentation,.

C3S3: Complementary Competition and Contrastive Selection for Semi-Supervised Medical Image Segmentation Uncertainty global contrastive learning framework for semi-supervised medical image seg- mentation,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:42:29.852619Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 449c1be3-7afc-4b94-a4ab-37a01d771aa7 · outbound

This paper cites Mcf: Mutual correction framework for semi-supervised medical image segmentation,.

C3S3: Complementary Competition and Contrastive Selection for Semi-Supervised Medical Image Segmentation Mcf: Mutual correction framework for semi-supervised medical image segmentation,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:42:29.838376Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 3b36bdf5-4acf-4b24-9bad-2f3602ec25b9 · outbound

This paper cites A global benchmark of algorithms for segmenting late gadolinium-enhanced cardiac magnetic resonance imaging,.

C3S3: Complementary Competition and Contrastive Selection for Semi-Supervised Medical Image Segmentation A global benchmark of algorithms for segmenting late gadolinium-enhanced cardiac magnetic resonance imaging,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:42:29.823497Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e77edf3b-34ab-44ec-8297-f79dcee0d5aa · outbound

This paper cites Deeporgan: Multi-level deep convolutional networks for automated pancreas segmentation,.

C3S3: Complementary Competition and Contrastive Selection for Semi-Supervised Medical Image Segmentation Deeporgan: Multi-level deep convolutional networks for automated pancreas segmentation,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:42:29.809985Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation fd03a5c0-62e0-4454-86fa-ba0e9bcea724 · outbound

This paper cites Uncertainty-aware self- ensembling model for semi-supervised 3d left atrium segmentation,.

C3S3: Complementary Competition and Contrastive Selection for Semi-Supervised Medical Image Segmentation Uncertainty-aware self- ensembling model for semi-supervised 3d left atrium segmentation,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:42:29.933705Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 23ed7a3b-b722-4851-906c-15edff2dd8be · outbound

This paper cites Shape-aware semi- supervised 3d semantic segmentation for medical images,.

C3S3: Complementary Competition and Contrastive Selection for Semi-Supervised Medical Image Segmentation Shape-aware semi- supervised 3d semantic segmentation for medical images,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:42:29.796078Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 36f8972c-7f79-4058-b2ba-8e91c900a678 · outbound

This paper cites Semi-supervised medical image segmentation through dual-task consistency,.

C3S3: Complementary Competition and Contrastive Selection for Semi-Supervised Medical Image Segmentation Semi-supervised medical image segmentation through dual-task consistency,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:42:29.781969Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 32122174-a711-4c3c-85aa-5259c7ab8551 · outbound

This paper cites Exploring smoothness and class-separation for semi-supervised medical image segmentation,.

C3S3: Complementary Competition and Contrastive Selection for Semi-Supervised Medical Image Segmentation Exploring smoothness and class-separation for semi-supervised medical image segmentation,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:42:29.766628Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Pith citing papers

No inbound Pith citation observations are available.