Paper Citation Record · LEDGER

VCDP: Variation-Conditioned Distributional Proxy Learning for Semi-Supervised Medical Image Segmentation

As of 7 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 0 inbound Pith citation observations for arXiv:2607.07416.

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

pith.paper-citation-record.v1
2607.07416 v1

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-09T11:40:26.918424Z

measured 39 of 39 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+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

39 of 39 outbound references displayed

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verified fuzzy32
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation fb123d1c-8b69-4eca-8786-0d2d8a99d8b4 · outbound

This paper cites Pixelseg: Pixel-by-pixel stochastic semantic segmentation for ambiguous medical images,.

VCDP: Variation-Conditioned Distributional Proxy Learning for Semi-Supervised Medical Image Segmentation Pixelseg: Pixel-by-pixel stochastic semantic segmentation for ambiguous medical images,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T11:46:13.204051Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation abeaed48-707a-4a57-9e32-b4426de38928 · outbound

This paper cites Mdf-net: A multi-scale dynamic fusion network for breast tumor segmentation of ultrasound images,.

VCDP: Variation-Conditioned Distributional Proxy Learning for Semi-Supervised Medical Image Segmentation Mdf-net: A multi-scale dynamic fusion network for breast tumor segmentation of ultrasound images,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T11:46:13.213709Z

Source-reported events for the cited work

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Observation 73c9987b-0f73-4df9-a475-fadeff120dfb · outbound

This paper cites Uncertainty-aware mean teacher framework with inception and squeeze-and-excitation block for miccai flare22 challenge,.

VCDP: Variation-Conditioned Distributional Proxy Learning for Semi-Supervised Medical Image Segmentation Uncertainty-aware mean teacher framework with inception and squeeze-and-excitation block for miccai flare22 challenge,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T11:46:13.181298Z

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Observation 78d55f8e-26e4-436b-af8a-d37fccab480b · outbound

This paper cites Gcl: Gradient- guided contrastive learning for medical image segmentation with multi- perspective meta labels,.

VCDP: Variation-Conditioned Distributional Proxy Learning for Semi-Supervised Medical Image Segmentation Gcl: Gradient- guided contrastive learning for medical image segmentation with multi- perspective meta labels,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T11:46:13.183186Z

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Observation aecdadcc-7bd1-4ae8-8b9c-e5f24ecff104 · outbound

This paper cites Pg-sam: A fine-grained prior-guided sam framework for prompt-free medical image segmentation,.

VCDP: Variation-Conditioned Distributional Proxy Learning for Semi-Supervised Medical Image Segmentation Pg-sam: A fine-grained prior-guided sam framework for prompt-free medical image segmentation,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T11:46:13.188689Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b79f43ed-3cb6-4e67-84fb-985c2cf59d95 · outbound

This paper cites Semi-supervised semantic segmentation via prototypical contrastive learning,.

VCDP: Variation-Conditioned Distributional Proxy Learning for Semi-Supervised Medical Image Segmentation Semi-supervised semantic segmentation via prototypical contrastive learning,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T11:46:13.175612Z

Source-reported events for the cited work

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Observation e9210109-6205-4dbf-a88b-df5b8dfe6d79 · outbound

This paper cites Rda: Reciprocal distribution alignment for robust semi-supervised learning,.

VCDP: Variation-Conditioned Distributional Proxy Learning for Semi-Supervised Medical Image Segmentation Rda: Reciprocal distribution alignment for robust semi-supervised learning,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T11:46:13.177405Z

Source-reported events for the cited work

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Observation 85a01647-d728-4c37-8b58-e3c592f14691 · outbound

This paper cites Eye-guided dual-path network for multi-organ segmentation of abdomen,.

VCDP: Variation-Conditioned Distributional Proxy Learning for Semi-Supervised Medical Image Segmentation Eye-guided dual-path network for multi-organ segmentation of abdomen,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T11:46:13.186763Z

Source-reported events for the cited work

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Observation bf76d5f1-30c4-44c4-867c-e308739946fa · outbound

This paper cites Semi-supervised learning for multi-label video action detection,.

VCDP: Variation-Conditioned Distributional Proxy Learning for Semi-Supervised Medical Image Segmentation Semi-supervised learning for multi-label video action detection,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T11:46:13.209701Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 3f5d1560-85b9-4f09-9cfc-f2af57981e55 · outbound

This paper cites Virtual adversarial training: a regularization method for supervised and semi-supervised learning,.

VCDP: Variation-Conditioned Distributional Proxy Learning for Semi-Supervised Medical Image Segmentation Virtual adversarial training: a regularization method for supervised and semi-supervised learning,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T11:46:13.215534Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 05b176f6-84b3-4563-9507-ca135ff2b1f9 · outbound

This paper cites Regularization with stochastic transformations and perturbations for deep semi-supervised learning,.

VCDP: Variation-Conditioned Distributional Proxy Learning for Semi-Supervised Medical Image Segmentation Regularization with stochastic transformations and perturbations for deep semi-supervised learning,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T11:46:13.184956Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 26b9f309-7992-43dc-8bff-4675ed589eb7 · outbound

This paper cites Adaptive Bidirectional Displacement for Semi-Supervised Medical Image Segmentation.

VCDP: Variation-Conditioned Distributional Proxy Learning for Semi-Supervised Medical Image Segmentation Adaptive Bidirectional Displacement for Semi-Supervised Medical Image Segmentation

Reference 12

Resolution: verified exact; local_arxiv, observed 2026-07-09T11:46:12.945233Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 4eeb3ae0-bc5c-47ba-9539-e4de52c3e1d2 · outbound

This paper cites Fedmlp: Federated multi-label medical image classification under task heterogeneity,.

VCDP: Variation-Conditioned Distributional Proxy Learning for Semi-Supervised Medical Image Segmentation Fedmlp: Federated multi-label medical image classification under task heterogeneity,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T11:46:13.234359Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5c68fb94-3e95-44d6-a2b6-07f731ca3107 · outbound

This paper cites Bidirectional Copy-Paste for Semi-Supervised Medical Image Segmentation.

VCDP: Variation-Conditioned Distributional Proxy Learning for Semi-Supervised Medical Image Segmentation Bidirectional Copy-Paste for Semi-Supervised Medical Image Segmentation

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-07-09T11:46:12.947856Z

Source-reported events for the cited work

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Observation f2a8f176-f89d-45bc-bf06-36b85b806966 · outbound

This paper cites Fixmatch: Simplifying semi- supervised learning with consistency and confidence,.

VCDP: Variation-Conditioned Distributional Proxy Learning for Semi-Supervised Medical Image Segmentation Fixmatch: Simplifying semi- supervised learning with consistency and confidence,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T11:46:13.192453Z

Source-reported events for the cited work

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Observation 0112ac7d-7afb-4462-a2b0-15808189773b · outbound

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

VCDP: Variation-Conditioned Distributional Proxy Learning for Semi-Supervised Medical Image Segmentation Uncertainty-aware self-ensembling model for semi-supervised 3d left atrium segmentation

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T11:46:13.225257Z

Source-reported events for the cited work

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Observation fe209c2a-2e3a-4e56-89fb-e48421272729 · outbound

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

VCDP: Variation-Conditioned Distributional Proxy Learning for Semi-Supervised Medical Image Segmentation Shape-aware semi-supervised 3d semantic segmentation for medical images

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T11:46:13.223422Z

Source-reported events for the cited work

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Observation c57bbfed-17c2-46eb-814e-6ac9eaaec3b3 · outbound

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

VCDP: Variation-Conditioned Distributional Proxy Learning for Semi-Supervised Medical Image Segmentation Semi-supervised medical image segmentation through dual-task consistency

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T11:46:13.198440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 471c72f8-09a2-4918-b532-aab353111e39 · outbound

This paper cites Dycon: Dynamic uncertainty-aware consistency and contrastive learning for semi-supervised medical image segmentation,.

VCDP: Variation-Conditioned Distributional Proxy Learning for Semi-Supervised Medical Image Segmentation Dycon: Dynamic uncertainty-aware consistency and contrastive learning for semi-supervised medical image segmentation,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T11:46:13.211843Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 6ddc96bd-d8ac-49a7-a0c1-25cc2244ef40 · outbound

This paper cites Annotation ambiguity aware semi-supervised medical image segmentation,.

VCDP: Variation-Conditioned Distributional Proxy Learning for Semi-Supervised Medical Image Segmentation Annotation ambiguity aware semi-supervised medical image segmentation,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T11:46:13.227110Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 27045b3d-9738-49c4-b4ed-f621176ac1c3 · outbound

This paper cites 2015 miccai multi-atlas labeling beyond the cranial vault workshop and challenge,.

VCDP: Variation-Conditioned Distributional Proxy Learning for Semi-Supervised Medical Image Segmentation 2015 miccai multi-atlas labeling beyond the cranial vault workshop and challenge,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T11:46:13.221606Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 0a8aebad-c050-4047-8a4e-808b860d5703 · outbound

This paper cites Proxy anchor loss for deep metric learning,.

VCDP: Variation-Conditioned Distributional Proxy Learning for Semi-Supervised Medical Image Segmentation Proxy anchor loss for deep metric learning,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T11:46:13.206008Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation eb9443a8-5a9b-4b22-9360-cfb07c81e6d3 · outbound

This paper cites Rethinking Semantic Segmentation: A Prototype View.

VCDP: Variation-Conditioned Distributional Proxy Learning for Semi-Supervised Medical Image Segmentation Rethinking Semantic Segmentation: A Prototype View

Reference 23

Resolution: verified exact; local_arxiv, observed 2026-07-09T11:46:12.937341Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 90e4074a-e396-4a6a-a221-021f3e3e3a13 · outbound

This paper cites Variation-aware proxy learning for semantic segmentation,.

VCDP: Variation-Conditioned Distributional Proxy Learning for Semi-Supervised Medical Image Segmentation Variation-aware proxy learning for semantic segmentation,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T11:46:13.207923Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 1f437872-f650-45ab-a0b2-29cc155bbded · outbound

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

VCDP: Variation-Conditioned Distributional Proxy Learning for Semi-Supervised Medical Image Segmentation Exploring smoothness and class-separation for semi-supervised medical image segmentation,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T11:46:13.217737Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 07c4d248-a01a-4738-8157-2eeb52bbb98e · outbound

This paper cites Exploring Smoothness and Class-Separation for Semi-supervised Medical Image Segmentation.

VCDP: Variation-Conditioned Distributional Proxy Learning for Semi-Supervised Medical Image Segmentation Exploring Smoothness and Class-Separation for Semi-supervised Medical Image Segmentation

Reference 26

Resolution: metadata mismatch; local_arxiv, observed 2026-07-09T11:46:12.939871Z

Source-reported events for the cited work

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Observation 29a93864-eaee-4f71-b561-2e2854652e2a · outbound

This paper cites Mean teachers are better role mod- els: Weight-averaged consistency targets improve semi-supervised deep learning results.

VCDP: Variation-Conditioned Distributional Proxy Learning for Semi-Supervised Medical Image Segmentation Mean teachers are better role mod- els: Weight-averaged consistency targets improve semi-supervised deep learning results

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T11:46:13.219733Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation df10f60e-2b98-4ffb-818f-153fe2e0a615 · outbound

This paper cites Semi-supervised semantic segmentation with cross pseudo supervision.

VCDP: Variation-Conditioned Distributional Proxy Learning for Semi-Supervised Medical Image Segmentation Semi-supervised semantic segmentation with cross pseudo supervision

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T11:46:13.230804Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation fe3b2fff-307d-4566-ba4a-3b736d013d05 · outbound

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

VCDP: Variation-Conditioned Distributional Proxy Learning for Semi-Supervised Medical Image Segmentation Magicnet: Semi-supervised multi-organ segmentation via magic-cube partition and recovery,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T11:46:13.190473Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 33775020-598d-42c6-adfe-4cf4c8889413 · outbound

This paper cites Towards generic semi-supervised framework for volumetric medical image segmentation,.

VCDP: Variation-Conditioned Distributional Proxy Learning for Semi-Supervised Medical Image Segmentation Towards generic semi-supervised framework for volumetric medical image segmentation,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T11:46:13.229013Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 6cee4f71-067e-49c6-b95c-a22f500c062b · outbound

This paper cites Dhc: Dual-debiased heterogeneous co-training framework for class-imbalanced semi-supervised medical image segmentation,.

VCDP: Variation-Conditioned Distributional Proxy Learning for Semi-Supervised Medical Image Segmentation Dhc: Dual-debiased heterogeneous co-training framework for class-imbalanced semi-supervised medical image segmentation,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T11:46:13.232575Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 6985717f-c3f3-4387-90d6-1623f125c2ca · outbound

This paper cites ProxyNCA++: Revisiting and Revitalizing Proxy Neighborhood Component Analysis.

VCDP: Variation-Conditioned Distributional Proxy Learning for Semi-Supervised Medical Image Segmentation ProxyNCA++: Revisiting and Revitalizing Proxy Neighborhood Component Analysis

Reference 32

Resolution: verified exact; local_arxiv, observed 2026-07-09T11:46:12.934764Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 14067d93-7d26-4612-8fa2-c408f949bfab · outbound

This paper cites Seg- contrast: 3d point cloud feature representation learning through self- supervised segment discrimination,.

VCDP: Variation-Conditioned Distributional Proxy Learning for Semi-Supervised Medical Image Segmentation Seg- contrast: 3d point cloud feature representation learning through self- supervised segment discrimination,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T11:46:13.196515Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c042f98e-d5ea-42dd-b469-521cd71e9972 · outbound

This paper cites Disco- 3d: Discovering and segmenting sub-concepts from open-vocabulary queries in nerf,.

VCDP: Variation-Conditioned Distributional Proxy Learning for Semi-Supervised Medical Image Segmentation Disco- 3d: Discovering and segmenting sub-concepts from open-vocabulary queries in nerf,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T11:46:13.200319Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 3de2434b-ad5d-49ef-9c55-ae6426fe7e82 · outbound

This paper cites Multi-Modal Prototypes for Open-World Semantic Segmentation.

VCDP: Variation-Conditioned Distributional Proxy Learning for Semi-Supervised Medical Image Segmentation Multi-Modal Prototypes for Open-World Semantic Segmentation

Reference 35

Resolution: verified exact; local_arxiv, observed 2026-07-09T11:46:12.950428Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7eeccb1d-27d9-4d11-b5e5-aa8c2fb8fbd5 · outbound

This paper cites Class-imbalanced semi-supervised learning with adaptive thresholding,.

VCDP: Variation-Conditioned Distributional Proxy Learning for Semi-Supervised Medical Image Segmentation Class-imbalanced semi-supervised learning with adaptive thresholding,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T11:46:13.202044Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 2d517fa9-7650-4d00-befc-72b21c12577a · outbound

This paper cites Diversity-enhanced collaborative mamba for semi-supervised medical image segmentation,.

VCDP: Variation-Conditioned Distributional Proxy Learning for Semi-Supervised Medical Image Segmentation Diversity-enhanced collaborative mamba for semi-supervised medical image segmentation,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T11:46:13.194666Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 817b313c-be54-4293-9d97-7a52124ff3ab · outbound

This paper cites Diversity-enhanced Collaborative Mamba for Semi-supervised Medical Image Segmentation.

VCDP: Variation-Conditioned Distributional Proxy Learning for Semi-Supervised Medical Image Segmentation Diversity-enhanced Collaborative Mamba for Semi-supervised Medical Image Segmentation

Reference 38

Resolution: metadata mismatch; local_arxiv, observed 2026-07-09T11:46:12.942221Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 56b789e9-50f8-43b1-96f6-5b549ee4045d · outbound

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

VCDP: Variation-Conditioned Distributional Proxy Learning for Semi-Supervised Medical Image Segmentation Amos: A large-scale abdominal multi-organ benchmark for versatile medical image segmentation,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T11:46:13.179197Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Pith citing papers

No inbound Pith citation observations are available.