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Paper Citation Record · LEDGER

DistMedVL: Distributional Vision-Language Alignment for Uncertainty-Aware Medical Image Segmentation

As of 20 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 0 inbound Pith citation observations for arXiv:2608.05683.

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

pith.paper-citation-record.v1
2608.05683 v1

Coverage vector

measured 46 of 46 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T01:01:19.323031Z

measured 46 of 46 standing notices

One-hop event checks from named stored sources.

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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

46 of 46 outbound references displayed

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External citation measurements

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Outbound references

Observation dd9533ba-6cb9-4b55-9ce3-617c3fbe4447 · outbound

This paper cites A survey on deep learning in medical image analysis,.

DistMedVL: Distributional Vision-Language Alignment for Uncertainty-Aware Medical Image Segmentation A survey on deep learning in medical image analysis,

Reference 1

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Observation 54309e33-cf3f-40c6-9ccb-637f0a1ffe63 · outbound

This paper cites Medical image analysis using convolutional neural net- works: a review,.

DistMedVL: Distributional Vision-Language Alignment for Uncertainty-Aware Medical Image Segmentation Medical image analysis using convolutional neural net- works: a review,

Reference 2

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Observation 4e6db198-d03d-473d-911b-323f6b898b1d · outbound

This paper cites Self-supervised learning methods and applications in medical imaging analysis: A survey,.

DistMedVL: Distributional Vision-Language Alignment for Uncertainty-Aware Medical Image Segmentation Self-supervised learning methods and applications in medical imaging analysis: A survey,

Reference 3

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Observation 6d5d9a05-380b-4abe-bdbc-740d014d938e · outbound

This paper cites Medclip: Contrastive learning from unpaired medical images and text,.

DistMedVL: Distributional Vision-Language Alignment for Uncertainty-Aware Medical Image Segmentation Medclip: Contrastive learning from unpaired medical images and text,

Reference 4

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Observation 49277c93-4338-4d93-8687-c3e4bd7d1586 · outbound

This paper cites U-net: Convolutional networks for biomedical image segmentation,.

DistMedVL: Distributional Vision-Language Alignment for Uncertainty-Aware Medical Image Segmentation U-net: Convolutional networks for biomedical image segmentation,

Reference 5

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Observation 39596e43-83c4-4258-95fa-091981ecea5c · outbound

This paper cites Fat-net: Feature adaptive transformers for automated skin lesion segmentation,.

DistMedVL: Distributional Vision-Language Alignment for Uncertainty-Aware Medical Image Segmentation Fat-net: Feature adaptive transformers for automated skin lesion segmentation,

Reference 6

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Observation 9a30a4de-cfb0-4e4f-8427-e7cac7cf6576 · outbound

This paper cites Swin-unet: Unet-like pure transformer for medical image segmenta- tion,.

DistMedVL: Distributional Vision-Language Alignment for Uncertainty-Aware Medical Image Segmentation Swin-unet: Unet-like pure transformer for medical image segmenta- tion,

Reference 7

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Observation 6364455a-430f-417c-a424-a0fbc366b568 · outbound

This paper cites Transdeeplab: Convolution-free transformer- based deeplab v3+ for medical image segmentation,.

DistMedVL: Distributional Vision-Language Alignment for Uncertainty-Aware Medical Image Segmentation Transdeeplab: Convolution-free transformer- based deeplab v3+ for medical image segmentation,

Reference 8

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Observation 24a25ae0-5e2a-4a13-b5e0-ece2ff938fae · outbound

This paper cites TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation.

DistMedVL: Distributional Vision-Language Alignment for Uncertainty-Aware Medical Image Segmentation TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation

Reference 9

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Observation 1c1d7b3c-e6c9-4365-acf6-a8f3c5dfed9e · outbound

This paper cites H2former: An efficient hierarchical hybrid transformer for medical image segmentation,.

DistMedVL: Distributional Vision-Language Alignment for Uncertainty-Aware Medical Image Segmentation H2former: An efficient hierarchical hybrid transformer for medical image segmentation,

Reference 10

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Observation f9b10d7d-f9bf-40ef-a08f-45975db1d58c · outbound

This paper cites Learning transferable visual models from natural language supervision,.

DistMedVL: Distributional Vision-Language Alignment for Uncertainty-Aware Medical Image Segmentation Learning transferable visual models from natural language supervision,

Reference 11

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Observation 5ac841c1-f75f-4dab-8aad-eec9ed96b16c · outbound

This paper cites Vlsm-adapter: Finetuning vision-language segmentation efficiently with lightweight blocks,.

DistMedVL: Distributional Vision-Language Alignment for Uncertainty-Aware Medical Image Segmentation Vlsm-adapter: Finetuning vision-language segmentation efficiently with lightweight blocks,

Reference 12

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Observation 9c20ed03-afe6-4a07-991b-be35cc37783a · outbound

This paper cites Lvit: language meets vision transformer in medical image segmentation,.

DistMedVL: Distributional Vision-Language Alignment for Uncertainty-Aware Medical Image Segmentation Lvit: language meets vision transformer in medical image segmentation,

Reference 13

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Source-reported events for the cited work

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Observation 818a8b83-81ae-464d-b5b3-0f742d9b9781 · outbound

This paper cites Lavt: Language-aware vision transformer for referring image segmentation,.

DistMedVL: Distributional Vision-Language Alignment for Uncertainty-Aware Medical Image Segmentation Lavt: Language-aware vision transformer for referring image segmentation,

Reference 14

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Source-reported events for the cited work

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Observation b38bd466-ffb0-48b3-a950-9210fb0d887b · outbound

This paper cites Denseclip: Language-guided dense prediction with context-aware prompting,.

DistMedVL: Distributional Vision-Language Alignment for Uncertainty-Aware Medical Image Segmentation Denseclip: Language-guided dense prediction with context-aware prompting,

Reference 15

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Source-reported events for the cited work

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Observation 451c2d12-7138-4cc3-83c0-6ed25b3616aa · outbound

This paper cites From denoising training to test-time adaptation: Enhancing domain generalization for medical image segmentation,.

DistMedVL: Distributional Vision-Language Alignment for Uncertainty-Aware Medical Image Segmentation From denoising training to test-time adaptation: Enhancing domain generalization for medical image segmentation,

Reference 16

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Observation bd7b0c8f-2d56-4e3e-b297-d35f24d36f20 · outbound

This paper cites Enhancing the vision–language foundation model with key semantic knowledge-emphasized report refinement,.

DistMedVL: Distributional Vision-Language Alignment for Uncertainty-Aware Medical Image Segmentation Enhancing the vision–language foundation model with key semantic knowledge-emphasized report refinement,

Reference 17

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Observation d16e039a-ae17-40b2-b274-6eac597d6192 · outbound

This paper cites Embracing imperfect datasets: A review of deep learning solutions for medical image segmentation,.

DistMedVL: Distributional Vision-Language Alignment for Uncertainty-Aware Medical Image Segmentation Embracing imperfect datasets: A review of deep learning solutions for medical image segmentation,

Reference 18

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Observation bde46a2f-7c9d-4856-94b4-1e655f96fa25 · outbound

This paper cites From Deterministic to Probabilistic: A Novel Perspective on Domain Generalization for Medical Image Segmentation.

DistMedVL: Distributional Vision-Language Alignment for Uncertainty-Aware Medical Image Segmentation From Deterministic to Probabilistic: A Novel Perspective on Domain Generalization for Medical Image Segmentation

Reference 19

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Observation fd2cfb16-9cd1-4cea-b507-4cdecf292dfa · outbound

This paper cites Medical image segmentation review: The success of u-net,.

DistMedVL: Distributional Vision-Language Alignment for Uncertainty-Aware Medical Image Segmentation Medical image segmentation review: The success of u-net,

Reference 20

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Observation c17dd87e-aa93-4f26-ac37-d919a5092640 · outbound

This paper cites Dcsau-net: A deeper and more compact split-attention u-net for medical image segmentation,.

DistMedVL: Distributional Vision-Language Alignment for Uncertainty-Aware Medical Image Segmentation Dcsau-net: A deeper and more compact split-attention u-net for medical image segmentation,

Reference 21

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Observation aa7786df-e39e-40de-ab7e-f825e40526e7 · outbound

This paper cites Cfformer: Cross cnn-transformer channel attention and spatial feature fusion for improved segmentation of heterogeneous medical images,.

DistMedVL: Distributional Vision-Language Alignment for Uncertainty-Aware Medical Image Segmentation Cfformer: Cross cnn-transformer channel attention and spatial feature fusion for improved segmentation of heterogeneous medical images,

Reference 22

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Observation b5cd1304-227a-4980-b590-51f316b54d24 · outbound

This paper cites Pubmedclip: How much does clip benefit visual question answering in the medical domain?.

DistMedVL: Distributional Vision-Language Alignment for Uncertainty-Aware Medical Image Segmentation Pubmedclip: How much does clip benefit visual question answering in the medical domain?

Reference 23

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Observation 783c4ede-4dd0-4d0e-b9c8-f574d3a7ad55 · outbound

This paper cites UniMed-CLIP: Towards a Unified Image-Text Pretraining Paradigm for Diverse Medical Imaging Modalities.

DistMedVL: Distributional Vision-Language Alignment for Uncertainty-Aware Medical Image Segmentation UniMed-CLIP: Towards a Unified Image-Text Pretraining Paradigm for Diverse Medical Imaging Modalities

Reference 24

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Observation 32f2d337-5e53-4a9b-9f01-4184de94c97f · outbound

This paper cites Causalclipseg: Unlocking clip’s potential in referring medical image segmentation with causal intervention,.

DistMedVL: Distributional Vision-Language Alignment for Uncertainty-Aware Medical Image Segmentation Causalclipseg: Unlocking clip’s potential in referring medical image segmentation with causal intervention,

Reference 25

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Observation ece734c9-a86e-47d3-8a9d-ab77e2c85a2c · outbound

This paper cites Medclipseg: Probabilistic vision-language adaptation for data-efficient and generalizable medical image segmentation,.

DistMedVL: Distributional Vision-Language Alignment for Uncertainty-Aware Medical Image Segmentation Medclipseg: Probabilistic vision-language adaptation for data-efficient and generalizable medical image segmentation,

Reference 26

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Observation 990cb456-17c2-4e09-8d7d-d2bd8c91e23b · outbound

This paper cites What uncertainties do we need in bayesian deep learning for computer vision?.

DistMedVL: Distributional Vision-Language Alignment for Uncertainty-Aware Medical Image Segmentation What uncertainties do we need in bayesian deep learning for computer vision?

Reference 27

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Observation e9a40148-5e4b-478d-a153-9b9d0f3dcd15 · outbound

This paper cites Dropout as a bayesian approximation: Representing model uncertainty in deep learning,.

DistMedVL: Distributional Vision-Language Alignment for Uncertainty-Aware Medical Image Segmentation Dropout as a bayesian approximation: Representing model uncertainty in deep learning,

Reference 28

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Source-reported events for the cited work

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Observation 48b4f2ae-ca21-49ab-b58a-526e0000e290 · outbound

This paper cites Simple and scalable predictive uncertainty estimation using deep ensembles,.

DistMedVL: Distributional Vision-Language Alignment for Uncertainty-Aware Medical Image Segmentation Simple and scalable predictive uncertainty estimation using deep ensembles,

Reference 29

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Source-reported events for the cited work

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Observation 537cd13c-c630-4e06-8558-bcb0d19629f0 · outbound

This paper cites Deep deterministic uncertainty: A new simple baseline,.

DistMedVL: Distributional Vision-Language Alignment for Uncertainty-Aware Medical Image Segmentation Deep deterministic uncertainty: A new simple baseline,

Reference 30

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Observation 4dc22086-1720-4596-844c-c32988c82635 · outbound

This paper cites Probabilistic embeddings for cross-modal retrieval,.

DistMedVL: Distributional Vision-Language Alignment for Uncertainty-Aware Medical Image Segmentation Probabilistic embeddings for cross-modal retrieval,

Reference 31

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Observation d66dc634-4aae-4061-88df-17e5e6257c7e · outbound

This paper cites Probvlm: Proba- bilistic adapter for frozen vison-language models,.

DistMedVL: Distributional Vision-Language Alignment for Uncertainty-Aware Medical Image Segmentation Probvlm: Proba- bilistic adapter for frozen vison-language models,

Reference 32

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Source-reported events for the cited work

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Observation b59062b6-7200-494c-8700-b83055e787c1 · outbound

This paper cites Image segmentation using text and image prompts,.

DistMedVL: Distributional Vision-Language Alignment for Uncertainty-Aware Medical Image Segmentation Image segmentation using text and image prompts,

Reference 33

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raw_fallback, observed 2026-08-08T01:01:19.528968Z

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.

source=pdf_text observed=2026-08-08T01:01:19.277193Z digest=sha256:11fa76d2fcb6f04986ae6b1aa2a9b21aebd06eb028a2890b2b9f707b5a9f9a61

Observation 476085c2-4d15-42b8-a74e-b228a27fb62a · outbound

This paper cites Thyroid region prior guided attention for ultrasound segmentation of thyroid nodules,.

DistMedVL: Distributional Vision-Language Alignment for Uncertainty-Aware Medical Image Segmentation Thyroid region prior guided attention for ultrasound segmentation of thyroid nodules,

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T01:01:19.518247Z

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.

source=pdf_text observed=2026-08-08T01:01:19.280537Z digest=sha256:b63fac3374b9c7cb97e47b63ae18061b66b11c6f0f80b6f215668d68dc1654ad

Observation c2529042-e47b-4fbc-800d-40442ce2f18d · outbound

This paper cites Dataset of breast ultrasound images,.

DistMedVL: Distributional Vision-Language Alignment for Uncertainty-Aware Medical Image Segmentation Dataset of breast ultrasound images,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T01:01:19.508176Z

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.

source=pdf_text observed=2026-08-08T01:01:19.283801Z digest=sha256:3cdece4c85a42d375452fc24a9cb0f898d6edaeb14dcd49f39919b025b5e9ebd

Observation 9b9bf9bd-6d14-4b36-92e9-6e444eddca3d · outbound

This paper cites Skin Lesion Analysis toward Melanoma Detection: A Challenge at the International Symposium on Biomedical Imaging (ISBI) 2016, hosted by the International Skin Imaging Collaboration (ISIC).

DistMedVL: Distributional Vision-Language Alignment for Uncertainty-Aware Medical Image Segmentation Skin Lesion Analysis toward Melanoma Detection: A Challenge at the International Symposium on Biomedical Imaging (ISBI) 2016, hosted by the International Skin Imaging Collaboration (ISIC)

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-08T01:01:19.287217Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T01:01:19.287217Z digest=sha256:3d64bcc54ff65a0e63e94f0b75c3e838c0021ef15ee6c770ead65af9a6c85680

Observation 4c79997b-c6d5-4ff4-857d-b07ff27cd579 · outbound

This paper cites Kvasir-seg: A segmented polyp dataset,.

DistMedVL: Distributional Vision-Language Alignment for Uncertainty-Aware Medical Image Segmentation Kvasir-seg: A segmented polyp dataset,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T01:01:19.497627Z

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.

source=pdf_text observed=2026-08-08T01:01:19.291111Z digest=sha256:1394005b5f791d4262828f2c938a6e319d1cc3ef95136f06e4103bb5533b49ea

Observation c4da4d75-33a7-42dd-b1db-a4d4871dd234 · outbound

This paper cites Osegnet: Operational segmentation network for covid-19 detection using chest x-ray images,.

DistMedVL: Distributional Vision-Language Alignment for Uncertainty-Aware Medical Image Segmentation Osegnet: Operational segmentation network for covid-19 detection using chest x-ray images,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T01:01:19.486793Z

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.

source=pdf_text observed=2026-08-08T01:01:19.294699Z digest=sha256:5b277e689ea2fad8dbd7807405805741c9f69be6f9bf42a0a80fd934509d754d

Observation 45296627-84c3-4c65-9969-35f8821b4943 · outbound

This paper cites An open-access breast lesion ultrasound image database: Applicable in artificial intelligence studies,.

DistMedVL: Distributional Vision-Language Alignment for Uncertainty-Aware Medical Image Segmentation An open-access breast lesion ultrasound image database: Applicable in artificial intelligence studies,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T01:01:19.476432Z

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.

source=pdf_text observed=2026-08-08T01:01:19.298306Z digest=sha256:0089d821d5519d09dd2eb6a7fcee778f5cafedbdb1db9e3cac9e036884631f82

Observation 921f83ca-091c-4336-aea3-ca0d42319053 · outbound

This paper cites Automated polyp detection in colonoscopy videos using shape and context information,.

DistMedVL: Distributional Vision-Language Alignment for Uncertainty-Aware Medical Image Segmentation Automated polyp detection in colonoscopy videos using shape and context information,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T01:01:19.464991Z

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.

source=pdf_text observed=2026-08-08T01:01:19.301750Z digest=sha256:76dc229b83aa92cd2b3f77bf1b1c2db8878dcff03e2a29d4ef8f41c9d369e3d5

Observation 1df95c98-7cbb-4e31-95bb-299a1fba00bf · outbound

This paper cites Clip-tnseg: A multi- modal hybrid framework for thyroid nodule segmentation in ultrasound images,.

DistMedVL: Distributional Vision-Language Alignment for Uncertainty-Aware Medical Image Segmentation Clip-tnseg: A multi- modal hybrid framework for thyroid nodule segmentation in ultrasound images,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T01:01:19.453205Z

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.

source=pdf_text observed=2026-08-08T01:01:19.305238Z digest=sha256:c31b24c7b115f5471330867bc182af8bb985e1ad37f9c52474f25ec4c31e2a23

Observation cb974eee-6d13-44d2-9091-67c0b3837d6b · outbound

This paper cites Qwen2.5-Coder Technical Report.

DistMedVL: Distributional Vision-Language Alignment for Uncertainty-Aware Medical Image Segmentation Qwen2.5-Coder Technical Report

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-08T01:01:19.308790Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T01:01:19.308790Z digest=sha256:9a854b4a3209fb735f19cc28e51d30bfe7ab390aba2f8cc2d4ca3b8941099fc7

Observation 2ee0cc91-397b-48de-b6c3-d3fedb8560bf · outbound

This paper cites Tganet: Text-guided attention for improved polyp segmentation,.

DistMedVL: Distributional Vision-Language Alignment for Uncertainty-Aware Medical Image Segmentation Tganet: Text-guided attention for improved polyp segmentation,

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T01:01:19.442279Z

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.

source=pdf_text observed=2026-08-08T01:01:19.312469Z digest=sha256:f2a78c1e3204adf17e884dc5237f88739b5ded5a1f2a35dec8fc2d4a6f3f10eb

Observation 35f9775e-d79a-4584-b162-10226ccc0f9c · outbound

This paper cites Image segmentation using text and image prompts,.

DistMedVL: Distributional Vision-Language Alignment for Uncertainty-Aware Medical Image Segmentation Image segmentation using text and image prompts,

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-08T01:01:19.315910Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T01:01:19.315910Z digest=sha256:f96ca5ee11d132e0bfb3d71cdedcf570c9ff56e107fa54652d39b8b31547ee0b

Observation 3b9ac2f3-67b3-49eb-a7b9-1b16e834e14a · outbound

This paper cites Ariadne’s thread: Using text prompts to improve segmentation of infected areas from chest x-ray images,.

DistMedVL: Distributional Vision-Language Alignment for Uncertainty-Aware Medical Image Segmentation Ariadne’s thread: Using text prompts to improve segmentation of infected areas from chest x-ray images,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T01:01:19.424770Z

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.

source=pdf_text observed=2026-08-08T01:01:19.319338Z digest=sha256:a0e354fed6a274ab3cad9776234412ec00f7b2c2d9e348be1b90b697e00742fd

Observation c1106333-2764-4d7b-910e-4b24f7c09401 · outbound

This paper cites Cross- modal conditioned reconstruction for language-guided medical image segmentation,.

DistMedVL: Distributional Vision-Language Alignment for Uncertainty-Aware Medical Image Segmentation Cross- modal conditioned reconstruction for language-guided medical image segmentation,

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T01:01:19.413243Z

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.

source=pdf_text observed=2026-08-08T01:01:19.323031Z digest=sha256:ce10dca8c6823cdd19bb4ddd7b88c056a11e075fd2e3f33223a415b8640bdb9e

Pith citing papers

No inbound Pith citation observations are available.